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    - CHEMICAL ENGINEERING (161 journals)
    - CIVIL ENGINEERING (154 journals)
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    - ENGINEERING (1135 journals)
    - HYDRAULIC ENGINEERING (48 journals)
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Actuators     Open Access  
Advances in Microelectronic Engineering     Open Access   (Followers: 1)
Advances in Signal Processing     Open Access  
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 10)
American Journal of Sensor Technology     Open Access  
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 6)
Archives of Control Sciences     Full-text available via subscription   (Followers: 2)
Archives of Electrical Engineering     Open Access   (Followers: 9)
Atom Indonesia     Open Access  
Bulletin of Electrical Engineering and Informatics     Open Access   (Followers: 8)
Circuits, Systems, and Signal Processing     Hybrid Journal   (Followers: 7)
Computers & Electrical Engineering     Hybrid Journal   (Followers: 7)
Current Trends in Signal Processing     Full-text available via subscription   (Followers: 2)
Electric Power Components and Systems     Hybrid Journal   (Followers: 6)
Electric Power Systems Research     Partially Free   (Followers: 12)
Electrical and Electronic Engineering     Open Access   (Followers: 8)
Electrical and Power Engineering Frontier     Open Access   (Followers: 8)
Electrical Engineering     Hybrid Journal   (Followers: 12)
Electrical Engineering and Automation     Open Access   (Followers: 2)
Electrical Engineering in Japan     Hybrid Journal   (Followers: 7)
Electrical, Control and Communication Engineering     Open Access   (Followers: 5)
Emerging and Selected Topics in Circuits and Systems     Hybrid Journal   (Followers: 4)
EURASIP Journal on Advances in Signal Processing     Open Access   (Followers: 7)
Ferroelectrics     Hybrid Journal   (Followers: 1)
Ferroelectrics Letters Section     Hybrid Journal   (Followers: 1)
Frequenz     Full-text available via subscription   (Followers: 2)
Frontiers of Electrical and Electronic Engineering     Hybrid Journal   (Followers: 5)
IEA Electricity Information     Full-text available via subscription   (Followers: 5)
IEEE Access     Open Access   (Followers: 3)
IEEE Electrical Insulation Magazine     Full-text available via subscription   (Followers: 8)
IEEE Signal Processing Magazine     Full-text available via subscription   (Followers: 28)
IEEE Transactions on Dielectrics and Electrical Insulation     Hybrid Journal   (Followers: 5)
IEEJ Transactions on Electrical and Electronic Engineering     Hybrid Journal   (Followers: 9)
IET Control Theory & Applications     Hybrid Journal   (Followers: 10)
IET Electric Power Applications     Hybrid Journal   (Followers: 9)
IET Electrical Systems in Transportation     Hybrid Journal   (Followers: 6)
IETE Journal of Education     Open Access   (Followers: 2)
Integrated Ferroelectrics: An International Journal     Hybrid Journal   (Followers: 1)
International Journal of Advanced Electronics and Communication Systems     Open Access   (Followers: 5)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 3)
International Journal of Electrical and Computer Engineering     Open Access   (Followers: 9)
International Journal of Electrical Engineering Education     Full-text available via subscription   (Followers: 6)
International Journal of Electrical Power & Energy Systems     Open Access   (Followers: 10)
International Journal of Emerging Electric Power Systems     Full-text available via subscription   (Followers: 5)
International Journal of Monitoring and Surveillance Technologies Research     Full-text available via subscription   (Followers: 3)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 4)
International Journal on Communication     Full-text available via subscription   (Followers: 8)
International Journal on Control System and Instrumentation     Full-text available via subscription   (Followers: 10)
International Journal on Electrical and Power Engineering     Full-text available via subscription   (Followers: 11)
International Journal on Signal and Image Processing     Full-text available via subscription   (Followers: 5)
International Transaction of Electrical and Computer Engineers System     Open Access  
International Transactions on Electrical Energy Systems     Hybrid Journal   (Followers: 7)
J3eA     Open Access   (Followers: 2)
Journal of Control Engineering and Technology     Open Access   (Followers: 11)
Journal of Control, Automation and Electrical Systems     Hybrid Journal   (Followers: 5)
Journal of Electrical and Computer Engineering     Open Access   (Followers: 6)
Journal of Electrical and Computer Engineering Innovations     Open Access   (Followers: 2)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 2)
Journal of Electrical Bioimpedance     Full-text available via subscription   (Followers: 2)
Journal of Electrical Engineering     Open Access   (Followers: 6)
Journal of Electrical Engineering & Electronic Technology     Full-text available via subscription   (Followers: 1)
Journal of Field Robotics     Hybrid Journal   (Followers: 2)
Journal of Micro-Bio Robotics     Hybrid Journal   (Followers: 1)
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 7)
Journal of Power Technologies     Open Access   (Followers: 2)
Journal of the Society for Information Display     Hybrid Journal   (Followers: 1)
Journal of Zhejiang University SCIENCE C     Hybrid Journal  
Micro and Nano Systems Letters     Open Access   (Followers: 4)
Nanotechnology Development     Open Access   (Followers: 3)
Oil, Gas, Coal and Electricity - Quarterly Statistics - Electricite, charbon, gaz et petrole - Statistiques trimestrielles     Full-text available via subscription   (Followers: 8)
Photovoltaics, IEEE Journal of     Hybrid Journal   (Followers: 7)
Recent Patents on Electrical & Electronic Engineering     Full-text available via subscription   (Followers: 1)
Recent Patents on Telecommunications     Full-text available via subscription  
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription  
Russian Electrical Engineering     Hybrid Journal   (Followers: 4)
Scientific Journal of Electrical Engineering     Open Access   (Followers: 5)
SID Symposium Digest of Technical Papers     Hybrid Journal   (Followers: 1)
Sustainable Energy, IEEE Transactions on     Hybrid Journal   (Followers: 6)
Synthesis Lectures on Electrical Engineering     Full-text available via subscription   (Followers: 1)
Telematique     Open Access  
TELKOMNIKA : Indonesian Journal of Electrical Engineering     Open Access   (Followers: 8)
Trends in Electrical Engineering     Full-text available via subscription   (Followers: 1)
Turkish Journal of Electrical Engineering and Computer Science     Open Access   (Followers: 1)
Universal Journal of Electrical and Electronic Engineering     Open Access  
Wireless Engineering and Technology     Open Access   (Followers: 3)
Електротехніка і Електромеханіка     Open Access  
Sustainable Energy, IEEE Transactions on
   [8 followers]  Follow    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
     ISSN (Print) 1949-3029
     Published by Institute of Electrical and Electronics Engineers (IEEE) Homepage  [175 journals]   [SJR: 1.766]   [H-I: 14]
  • IEEE Power Engineering Society information for authors
    • Pages: C4 - C4
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • IEEE Transactions on Sustainable Energy society information
    • Pages: C3 - C3
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Table of Contents
    • Pages: C1 - 1
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • IEEE Transactions on Sustainable Energy
    • Pages: C2 - C2
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Effect of the Electrical Energy Conversion on Optimal Cycles for Pumping
           Airborne Wind Energy
    • Authors: Stuyts; J.;Horn, G.;Vandermeulen, W.;Driesen, J.;Diehl, M.;
      Pages: 2 - 10
      Abstract: Airborne wind energy harvesting offers an alternative to traditional wind turbines by flying crosswind cycles with a tethered airfoil. By reeling in and out the tether periodically, net electrical power can be generated. When looking for the optimal cycle to fly, one should optimize for maximal electrical power generation. However, the conversion from mechanical to electrical power was not yet included in the models. In this paper, it is shown that by including an electrical energy conversion model into cycle optimization, the electrical output of the system increases and the acquired system can be used in a broader range of wind speeds. The approach is illustrated with experimentally verified models.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Raw Wind Data Preprocessing: A Data-Mining Approach
    • Authors: Zheng; L.;Hu, W.;Min, Y.;
      Pages: 11 - 19
      Abstract: Wind energy integration research generally relies on complex sensors located at remote sites. The procedure for generating high-level synthetic information from databases containing large amounts of low-level data must therefore account for possible sensor failures and imperfect input data. The data input is highly sensitive to data quality. To address this problem, this paper presents an empirical methodology that can efficiently preprocess and filter the raw wind data using only aggregated active power output and the corresponding wind speed values at the wind farm. First, raw wind data properties are analyzed, and all the data are divided into six categories according to their attribute magnitudes from a statistical perspective. Next, the weighted distance, a novel concept of the degree of similarity between the individual objects in the wind database and the local outlier factor (LOF) algorithm, is incorporated to compute the outlier factor of every individual object, and this outlier factor is then used to assess which category an object belongs to. Finally, the methodology was tested successfully on the data collected from a large wind farm in northwest China.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • A Brushless Wound Rotor Induction Generator for Variable Speed Microhydel
           Plants Without Ballast Load
    • Authors: Joseph; R.;Umanand, L.;
      Pages: 20 - 27
      Abstract: A new generator topology for microhydel power plants, capable of unsupervised operation, is proposed. While conventional microhydel plants operate at constant speed with switched ballast loads, the proposed generator, based on the wound rotor induction machine, operates at variable speed and does away with the need for ballast loads. This increases reliability and substantially decreases system costs and setup times. The proposed generator has a simplified decoupled control structure with stator-referenced voltage control similar to a conventional synchronous generator, and rotor-side frequency control that is facilitated by rotating electronics mounted on the rotor. While this paper describes an isolated plant, the topology can also be tailored for distributed generation enabling conversion of the available hydraulic power into useful electrical power when the grid is present, and supplying local loads in the event of grid outage.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Optimal Superconducting Coil Integrated Into DFIG Wind Turbine for Fault
           Ride Through Capability Enhancement and Output Power Fluctuation
    • Authors: Karaipoom; T.;Ngamroo, I.;
      Pages: 28 - 42
      Abstract: The vital problems of the grid-connected doubly fed induction generator (DFIG) wind turbine are the fault ride through (FRT) capability and the output power fluctuation. To tackle these problems, this paper focuses on the optimization of the superconducting coil (SC) integrated into a dc link of the DFIG wind turbine for an enhancement of the FRT capability and a suppression of the output power fluctuation. The dcdc converter, which is used to control the exchanged energy between the SC and the system, is additionally connected between the grid side converter (GSC) and the rotor side converter. During normal operation, the SC acts as an energy storage device to exchange energy with the system so that the power fluctuation of the DFIG wind turbine can be alleviated. On the other hand, when severe faults occur in the system, the SC is used as the current limiting inductor to suppress both overcurrent in the rotor and stator, and overvoltage in the dc link of the DFIG. In the optimization, the inductance of the SC, the initial necessary stored energy in the SC, and the proportional integral (PI) parameters of the dcdc converter are tuned simultaneously so that both objectives can be achieved. Simulation study elucidates the control effect of the DFIG wind turbine with the optimal SC.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Grid Impact Indicators for Active Building Simulations
    • Authors: Verbruggen; B.;Driesen, J.;
      Pages: 43 - 50
      Abstract: This paper presents grid impact indicators, developed to evaluate the performance of local control mechanisms, affecting the impact of a net-zero energy building on the electricity grid, without the need to simulate the grid itself. The capacity factor, loss-of-load probability, cover factor for supply and demand, load match index, power exchange variability, one-percent peak power, peaks above limit, dimensioning rate, and kVA credit are proposed and applied to example single-building simulations. These simulations include control mechanisms affecting the power exchange of the building with the grid by adjusting the set-point temperature of the thermal energy storage tank of the heat pump, shifting local consumption to better coincide with local photovoltaic generation, or by directly limiting the power supplied to the grid. The simulations focus on a single net-zero energy building and use one such building as a reference and others for comparison of trends in simulation results. All modeling is done in the equation-based object-oriented modeling language Modelica. Simulations are performed using the Dymola environment.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Game-Theoretic Formulation of Power Dispatch With Guaranteed Convergence
           and Prioritized BestResponse
    • Authors: Du; L.;Grijalva, S.;Harley, R.G.;
      Pages: 51 - 59
      Abstract: This paper formulates and solves the economic power dispatch (ED) problem with practical operation constraints using potential games. Each generator operates as an independent player in a self-optimizing manner with marginal contribution utility functions to minimize the total generation cost. The proposed distributed formulation converts inequality constraints into feasible action sets, incorporates equality constraints by penalty functions, and extends to practical cases that exhibit non-convex or non-smooth objective functions. Two learning algorithms with guaranteed convergence to Nash equilibria and/or optima are applied to solve the proposed formulation. How generators react as best responses to others is analyzed to capture the reasoning of operations. As a numerical example, the solutions obtained using the proposed ED method in a benchmark system are analyzed. Examples are provided to emphasize how priority for renewable sources are incorporated.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Active Rectifier With Integrated System Control for Microwind Power
    • Authors: Buticchi; G.;Lorenzani, E.;Immovilli, F.;Bianchini, C.;
      Pages: 60 - 69
      Abstract: This paper presents simple and effective control strategies for the active rectifier stage (ac/dc stage) of a grid-connected low-power system for microwind applications employing permanent magnet synchronous generator (PMSG). In particular, a novel algorithm for the estimation of the rotor angle of the PMSG, based on flux estimators, was implemented using an adaptive low-pass filter coupled with a feed-forward compensator. This enabled a very smooth start-up operation of the PMSG, obtained by preloading the values of the flux estimator and using a single-voltage transformer (VT) transducer. The solution for the power flow control between the active rectifier and the other(s) power converters connected to the common dc link was implemented without any digital communication between them, in order to obtain a solution suitable for modular architectures (e.g., to be used in conjunction with a grid-connected converter and/or an energy storage system). Simulation and experimental results confirmed the effectiveness of the proposed solutions. The experimental validation was conducted using a grid-connected converter as load for the proposed active rectifier.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Control and Size Energy Storage Systems for Managing Energy Imbalance of
           Variable Generation Resources
    • Authors: Ke; X.;Lu, N.;Jin, C.;
      Pages: 70 - 78
      Abstract: This paper presents control algorithms and sizing strategies for using energy storage to manage energy imbalance for variable generation resources. The control objective is to minimize the hourly generation imbalance between the actual and the scheduled generation of wind farms. Three control algorithms are compared: 1)tracking minute-by-minute power imbalance; 2)postcompensation; and 3)precompensation. Measured data from a wind farm are used in the study. The results show that tracking minute-by-minute power imbalance achieves the best performance by keeping hourly energy imbalance zero. However, the energy storage system (ESS) will be significantly oversized. Postcompensation reduces the power rating of the ESS but the hourly energy imbalance may not be reduced to zero when a large and long-lasting power imbalance occurs. A linear regression forecasting algorithm is developed for a two-stage precompensation algorithm to precharge or predischarge the ESS based on the predicted energy imbalance. An equivalent charge cycle estimation method is proposed to evaluate the effect of providing the energy balancing service on battery life. The performance comparison shows that the precompensation method reduces the size of the ESS by 30% with satisfactory performance.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Impact of Wind-Based Distributed Generation on Electric Energy in
           Distribution Systems Embedded With Electric Vehicles
    • Authors: Abdelsamad; S.F.;Morsi, W.G.;Sidhu, T.S.;
      Pages: 79 - 87
      Abstract: In this paper, the synergy between wind-based distributed generation (DG) and plug-in electric vehicles (PEVs) is studied. MonteCarlo is used to address the uncertainties associated with wind speed variations and charging of PEVs hence simulating their impact at the distribution system (DS) level considering different DG penetration (up to 35%) and different PEV penetration (up to 50%). The excess in active/reactive power, energy exceeding normal (EEN), unserved energy (UE), and energy losses are investigated in this study. Forty-eight penetration scenarios involving DGs and PEVs are studied in this work and simulated in the IEEE 123-bus radial power distribution test system after modeling its secondary circuit in OpenDSS. The results of the simulation show that 30% wind-based DG penetration may be adequate to supply the active energy needed to charge PEVs. However, this might result in a reverse reactive power flow back to the substation.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Qualification and Quantification of Reserves in Power Systems Under High
           Wind Generation Penetration Considering Demand Response
    • Authors: Paterakis; N.G.;Erdinc, O.;Bakirtzis, A.G.;Catalao, J.P.S.;
      Pages: 88 - 103
      Abstract: The presence of high levels of renewable energy resources (RES) and especially wind power production poses technical and economic challenges to system operators, which under this fact have to procure more ancillary services (AS) through various balancing mechanisms, in order to maintain the generation-consumption balance and to guarantee the security of the grid. Traditionally, these critical services had been procured only from the generation side, yet the current perception has begun to recognize the demand side as an important asset that can improve the reliability of a power system, offering notable advantages. In this study, a two-stage stochastic programming model, representing the day-ahead market clearing procedure on an hourly basis and the actual minute-to-minute operation of the power system, is developed comprising different services that specifically address various disturbance sources of the normal operation of a power system, namely intra-hour load variation, intra-hour wind variation, as well as generating unit and transmission line outages.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Multitime-Scale Data-Driven Spatio-Temporal Forecast of Photovoltaic
    • Authors: Yang; C.;Thatte, A.A.;Xie, L.;
      Pages: 104 - 112
      Abstract: The increasing penetration of stochastic photovoltaic (PV) generation in electric power systems poses significant challenges to system operators. To ensure reliable operation of power systems, accurate forecasting of PV power production is essential. In this paper, we propose a novel multitime-scale data-driven forecast model to improve the accuracy of short-term PV power production. This model leverages both spatial and temporal correlations among neighboring solar sites, and is shown to have improved performance compared to the conventional persistence (PSS) model. The tradeoff between computation cost and improved forecast quality is studied using real datasets from PV sites in California and Colorado.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Spatiotemporal Modeling of Wind Generation for Optimal Energy Storage
    • Authors: Valizadeh Haghi; H.;Lotfifard, S.;
      Pages: 113 - 121
      Abstract: Ever increasing penetration of wind power generation along with the integration of energy storage systems (ESSs) makes the successive states of the power system interdependent and more stochastic. Appropriate stochastic modeling of wind power is required to deal with the existence of uncertainty either in observations of the data (spatial) or in the characteristics that drive the evolution of the data (temporal). Particularly, for capturing spatiotemporal interdependencies and determining energy storage requirements, this paper proposes a versatile model using advanced statistical modeling based on the vine-copula theory. To tackle the complexity and computational burden of modeling high-dimensional wind data, a systematic truncation method is utilized that significantly reduces computational burden of the method while preserving the required accuracy. By constructing a graphical dependency model, unlike existing autoregressive and Markov chain models, the proposed method can replicate the exact autocorrelation function (ACF) and cross-correlation function (CCF), while retaining the correct distribution of the original data as well as the effective dependence between different sites under study. The practical importance of the proposed model is demonstrated through an example of ESS sizing for wind power.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Comparative Study of Advanced Signal Processing Techniques for Islanding
           Detection in a Hybrid Distributed Generation System
    • Authors: Mohanty; S.R.;Kishor, N.;Ray, P.K.;Catalao, J.P.S.;
      Pages: 122 - 131
      Abstract: In this paper, islanding detection in a hybrid distributed generation (DG) system is analyzed by the use of hyperbolic S-transform (HST), timetime transform, and mathematical morphology methods. The merits of these methods are thoroughly compared against commonly adopted wavelet transform (WT) and S-transform (ST) techniques, as a new contribution to earlier studies. The hybrid DG system consists of photovoltaic and wind energy systems connected to the grid within the IEEE 30-bus system. Negative sequence component of the voltage signal is extracted at the point of common coupling and passed through the above-mentioned techniques. The efficacy of the proposed methods is also compared by an energy-based technique with proper threshold selection to accurately detect the islanding phenomena. Further, to augment the accuracy of the result, the classification is done using support vector machine (SVM) to distinguish islanding from other power quality (PQ) disturbances. The results demonstrate effective performance and feasibility of the proposed techniques for islanding detection under both noise-free and noisy environments, and also in the presence of harmonics.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Adaptive Droop Control Strategy for Load Sharing and Circulating Current
           Minimization in Low-Voltage Standalone DC Microgrid
    • Authors: Augustine; S.;Mishra, M.K.;Lakshminarasamma, N.;
      Pages: 132 - 141
      Abstract: This paper addresses load current sharing and circulating current issues of parallel-connected dcdc converters in low-voltage dc microgrid. Droop control is the popular technique for load current sharing in dc microgrid. The main drawbacks of the conventional droop method are poor current sharing and drop in dc grid voltage due to the droop action. Circulating current issue will also arise due to mismatch in the converters output voltages. In this work, a figure of merit called droop index (DI) is introduced in order to improve the performance of dc microgrid, which is a function of normalized current sharing difference and losses in the output side of the converters. This proposed adaptive droop control method minimizes the circulating current and current sharing difference between the converters based on instantaneous virtual resistance $bm{R}_{{bf droop}}$ . Using $bm{R}_{{bf droop}}$ shifting, the proposed method also eliminates the tradeoff between current sharing difference and voltage regulation. The detailed analysis and design procedure are explained for two dcdc boost converters connected in parallel. The effectiveness of the proposed method is verified by detailed simulation and experimental studies.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Closed-Form Solution of Time-Varying Model and Its Applications for Output
           Current Harmonics in Two-Stage PV Inverter
    • Authors: Du; Y.;Lu, D.D.;Chu, G.M.L.;Xiao, W.;
      Pages: 142 - 150
      Abstract: The single-phase photovoltaic (PV) inverter needs significant capacitance to buffer the double-line frequency power pulsation at ac port. The two-stage inverter allows the designer to choose the dc-link voltage and the capacitor size flexibly. With the reduced capacitance, the lifetime of the dc-link capacitor can be prolonged by replacing the electrolytic capacitors with film capacitors. However, the capacitance deduction results in high double-line frequency voltage ripple on dc-link, which increases a series of odd harmonics in the output current. This paper hence analyzes the harmonics caused by the voltage ripple in an inverter with feedback control. The inverter is modeled as a time-varying system by considering the dc-link voltage ripple. A closed-form solution is derived to calculate the amplitude of the ripple-caused harmonics. This analysis helps the designer to understand the effect of the dc-link voltage ripple on current harmonics, evaluate effectiveness of existing approaches, and stimulate new ideas and solutions. The study also derived the theoretical limit to select dc-link capacitance and sampling rate of current reference without violating the grid-tied regulations in power quality. The analysis is verified both by simulation and experimental evaluation.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Potential Harmonic Resonance Impacts of PV Inverter Filters on
           Distribution Systems
    • Authors: Hu; H.;Shi, Q.;He, Z.;He, J.;Gao, S.;
      Pages: 151 - 161
      Abstract: This paper presents a clarification study to identify the potential resonance phenomenon between photovoltaic (PV) inverters and the distribution system. LCL and LC filters are widely applied in PV inverters to mitigate high-order harmonic components generated by PV inverters. There is a possibility that these filters will excite harmonic resonance by interacting with the system impedance. The mechanism of this phenomenon is investigated here by mathematical analysis and measurement. The results indicate that the resonance can be attenuated if the damping resistance, such as damping resistor and residential linear loads, is large enough. Alternatively, three sets of field tests are conducted in the laboratory to verify and clarify the potential harmonic resonance and its factors. Furthermore, a full case of an actual North American distribution system with PV installations is also studied. The results indicate that the harmonic resonance caused by the PV filter is almost attenuated and cannot cause serious problems. At the same time, the filter may have some advantages in mitigating harmonics. Finally, to complete this paper, other sustainable energy resources with voltage-source converters (VSCs) are compared.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Solar Power Shaping: An Analytical Approach
    • Authors: Ghiassi-Farrokhfal; Y.;Keshav, S.;Rosenberg, C.;Ciucu, F.;
      Pages: 162 - 170
      Abstract: The focus of our work is the use of an energy storage system (ESS) to integrate solar energy generators into the electrical grid. Although, in theory, an ESS allows intermittent solar power to be shaped to meet any desired load profile, in practice, parsimonious ESS dimensioning is challenging due to the stochastic nature of generation and load and the diversity and high cost of storage technologies. Existing methods for ESS sizing are based either on simulation or on analysis, both of which have shortcomings. Simulation methods are computationally expensive and depend on the availability of extensive data traces. Existing analytical methods tend to be conservative, overestimating expensive storage requirements. Our key insight is that solar power fluctuations arise at a few distinct time scales. We separately model fluctuations in each time scale, which allows us to accurately estimate ESS performance and efficiently size an ESS. Numerical examples with real data traces show that our model and analysis are tight.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Up-Wave and Autoregressive Methods for Short-Term Wave Forecasting for an
           Oscillating Water Column
    • Authors: Paparella; F.;Monk, K.;Winands, V.;Lopes, M.F.P.;Conley, D.;V.Ringwood, J.;
      Pages: 171 - 178
      Abstract: The real-time control of wave energy converters (WECs) requires the prediction of the wave elevation at the location of the device in order to maximize the power extracted from the waves. One possibility is to predict the future wave elevation by combining its past history with the spatial information coming from a sensor which measures the free surface elevation up-wave of the WEC. As an application example, this paper focuses on the prediction of the wave elevation inside the chamber of the oscillating water column (OWC) for the Pico OWC plant in the Azores, and two different sensors for the measurement of the free surface elevation up-wave of the OWC were tested. The study showed that the use of the additional information coming from the up-wave sensor does not significantly improve the linear prediction of the chamber wave elevation given by a forecasting model based only on the past values of the chamber wave elevation.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Impedance Model-Based SSR Analysis for TCSC Compensated Type-3 Wind Energy
           Delivery Systems
    • Authors: Piyasinghe; L.;Miao, Z.;Khazaei, J.;Fan, L.;
      Pages: 179 - 187
      Abstract: This paper employs impedance model-based frequency domain analysis to detect subsynchronous resonances (SSRs) in Type-3 wind farms with thyristor-controlled series capacitor (TCSC). The contributions of this paper are 1)the derivation of dynamic phasor-based TCSC impedance model and 2)the application of such an impedance model in Type-3 wind energy systems for SSR analysis. Impedance models for TCSC with constant firing angle control and impedance control are derived in this paper. With the derived impedance models, Nyquist stability criterion is applied to compare SSR stability in Type-3 wind farm with TCSC or with fixed capacitor compensation. This paper employs analytical models to demonstrate TCSCs capability in avoiding SSR in Type-3 wind generator interconnection systems. The analytical results obtained through impedance models are validated by detail model-based (with thyristor switch-modeled) time-domain simulation in MATLAB/SimPowerSystems.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Effective Load Carrying Capability Evaluation of Renewable Energy via
           Stochastic Long-Term Hourly Based SCUC
    • Authors: Chen; Z.;Wu, L.;Shahidehpour, M.;
      Pages: 188 - 197
      Abstract: This paper evaluates the effective load carrying capability (ELCC) of renewable resources, including wind and solar, via the stochastic long-term hourly based security-constrained unit commitment (SCUC) model. Different from traditional approaches which approximate ELCC of renewable resources using system peak loads, nonsequential block load duration curves, or rolling-based sequential methods, the stochastic long-term hourly based SCUC could accurately examine the impacts of short-term variability and uncertainty of renewable resources as well as chronological operation details of generators on hourly supplydemand imbalance and power system reliability in a long-term horizon. Uncertainties of hourly wind, solar, and load in a 1-year horizon are simulated via the scenario tree using the Monte Carlo method, and Approximate Dynamic Programming is adopted for effectively solving the stochastic long-term hourly based SCUC model. Variability correlations between wind speed and solar radiation are considered within the scenario sampling procedure. Moreover, parallel computing is designed with the pipeline structure for accelerating the computational performance of Approximate Dynamic Programming. Numerical case studies on the modified IEEE 118-bus system illustrate the effectiveness of the proposed stochastic long-term hourly based SCUC model and the Approximate Dynamic Programming solution approach for evaluating ELCC of renewable resources. This would help independent system operators (ISO) designs effective long-term planning strategies for operating power systems efficiently and reliably.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Enhanced Energy Output From a PV System Under Partial Shaded Conditions
           Through Artificial Bee Colony
    • Authors: Sundareswaran; K.;Sankar, P.;Nayak, P.S.R.;Simon, S.P.;Palani, S.;
      Pages: 198 - 209
      Abstract: For the maximum utilization of solar energy, photovoltaic (PV) power generation systems are operated at the maximum power point (MPP) under varying atmospheric conditions, and MPP tracking (MPPT) is generally achieved using several conventional methods. However, when partial shading occurs in a PV system, the resultant powervoltage (PV) curve exhibits multiple peaks and traditional methods that need not guarantee convergence to true MPP always. This paper proposes an artificial bee colony (ABC) algorithm for global MPP (GMPP) tracking under conditions of in-homogenous insolation. The formulation of the problem, application of the ABC algorithm, and the results are analyzed in this paper. The numerical simulations carried out on two different PV configurations under different shading patterns strongly suggest that the proposed method is far superior to existing MPPT alternatives. Experimental results are also provided to validate the new dispensation.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Simultaneous Reconfiguration, Optimal Placement of DSTATCOM, and
           Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach
    • Authors: Bagheri Tolabi; H.;Ali, M.H.;Rizwan, M.;
      Pages: 210 - 218
      Abstract: In this paper, a combination of a fuzzy multiobjective approach and ant colony optimization (ACO) as a metaheuristic algorithm is used to solve the simultaneous reconfiguration and optimal allocation (size and location) of photovoltaic (PV) arrays as a distributed generation (DG) and distribution static compensator (DSTATCOM) as a distribution flexible ac transmission system (DFACT) device in a distribution system. The purpose of this research includes loss reduction, voltage profile (VP) improvement, and increase in the feeder load balancing (LB). The proposed method is validated using the IEEE 33-bus test system and a Tai-Power 11.4-kV distribution system as a real distribution network. The results proved that simultaneous reconfiguration and optimal allocation of PV array and DSTATCOM unit leads to significantly reduced losses, improved VP, and increased LB. Obtained results have been compared with the base value and found that simultaneous placement of PV and DSTATCOM along with reconfiguration is more beneficial than separate single-objective optimization. Also, the proposed fuzzy-ACO approach is more accurate as compared to ACO and other intelligent techniques like fuzzy-genetic algorithm (GA) and fuzzy-particle swarm optimization (PSO).
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Data Constrained Adequacy Assessment for Wind Resource Planning
    • Authors: Dhungana; D.;Karki, R.;
      Pages: 219 - 227
      Abstract: Environmental concerns caused by burning fossil fuel and the safety concerns associated with nuclear power plants have led to increased interest and investment in wind power. Wind penetration in power systems has been rapidly increasing worldwide and has resulted in increased variability and uncertainty in power generation. Proper modeling of the wind resource has, therefore, become increasingly important in modern wind-integrated power systems. The correlation between wind speeds at multiple wind farms considerably affects the overall variability of wind power generation. Many power utilities are considering expansion to multiple wind farms. Analysis of wind power at different sites requires sufficient time-synchronized wind data in order to incorporate their cross-correlations in the evaluation model. Such data are usually not available or very limited for many prospective wind sites that may be considered in energy planning or policy making. This paper proposes a simple analytical method to develop approximate wind models when time-synchronized wind data for two wind sites are not available and further extends the method to incorporate more than two wind sites.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • 2-D-CFD Analysis of the Effect of Trailing Edge Shape on the Performance
           of a Straight-Blade Vertical Axis Wind Turbine
    • Authors: Almohammadi; K.M.;Ingham, D.B.;Ma, L.;Pourkashanian, M.;
      Pages: 228 - 235
      Abstract: This paper numerically investigates the effect of the trailing edge profile on the performance of the straight-blade vertical axis wind turbine (SB-VAWT). In a 2-D cross-section of the SB-VAWT model, four trailing edge profiles are investigated, namely sharp, rounded, S-blunt, and R-blunt. The numerical investigation is based on the unsteady Reynolds averaged Navier-Stokes (URANS) equations combined with the transition shear stress transport (SST) model in order to account for the transition in the boundary layer in the vicinity of the airfoils. It has been found that the trailing edge profile may play a significant role in improving the turbine performance and should be accurately accounted for in the design process of the SB-VAWT.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • A Comparative Study of Empirical Mode Decomposition-Based Short-Term Wind
           Speed Forecasting Methods
    • Authors: Ren; Y.;Suganthan, P.N.;Srikanth, N.;
      Pages: 236 - 244
      Abstract: Wind speed forecasting is challenging due to its intermittent nature. The wind speed time series (TS) has nonlinear and nonstationary characteristics and not normally distributed, which make it difficult to be predicted by statistical or computational intelligent methods. Empirical mode decomposition (EMD) and its improved versions are powerful tools to decompose a complex TS into a collection of simpler ones. The improved versions discussed in this paper include ensemble EMD (EEMD), complementary EEMD (CEEMD), and complete EEMD with adaptive noise (CEEMDAN). The EMD and its improved versions are hybridized with two computational intelligence-based predictors: support vector regression (SVR) and artificial neural network (ANN). The EMD-based hybrid forecasting methods are evaluated with 12 wind speed TS. The performances of the hybrid methods are compared and discussed. It shows that EMD and its improved versions enhance the performance of SVR significantly but marginally on ANN, and among the EMD-based hybrid methods, the proposed CEEMDAN-SVR is the best method. Possible future works are also recommended for wind speed forecasting.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • A Supervisory Load-Leveling Approach to Improve the Voltage Profile in
           Distribution Network
    • Authors: Mokhtari; G.;Nourbakhsh, G.;Ledwich, G.;Ghosh, A.;
      Pages: 245 - 252
      Abstract: This paper suggests a supervisory control for storage units to provide load leveling in distribution networks. This approach coordinates storage units to charge during high generation and discharge during peak load times, while utilized to improve the network voltage profile indirectly. The aim of this control strategy is to establish power sharing on a pro rata basis for storage units. As a case study, a practical distribution network with 30 buses is simulated and the results are provided.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Coordinated Operational Planning for Wind Farm With Battery Energy Storage
    • Authors: Luo; F.;Meng, K.;Dong, Z.Y.;Zheng, Y.;Chen, Y.;Wong, K.P.;
      Pages: 253 - 262
      Abstract: This paper proposes a coordinated operational dispatch scheme for a wind farm with a battery energy storage system (BESS). The main advantages of the proposed dispatch scheme are that it can reduce the impacts of wind power forecast errors while prolonging the lifetime of BESS. The scheme starts from the planning stage, where a BESS capacity determination method is proposed to compute the optimal power capacity and energy capacity of BESS based on historical wind power data; and then, at the operation stage, a flexible short-term BESS-wind farm dispatch scheme is proposed based on the forecasted wind power generation scenarios. Three case studies are provided to validate the performance of the proposed method. The results show that the proposed scheme can largely improve the wind farm dispatchability.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Second-Order Cone Programming-Based Optimal Control Strategy for Wind
           Energy Conversion Systems Over Complete Operating Regions
    • Authors: Huang; C.;Li, F.;Ding, T.;Jin, Z.;Ma, X.;
      Pages: 263 - 271
      Abstract: An efficient control strategy of a wind energy conversion system (WECS) plays a crucial role in wind power utilization. In this paper, a novel multivariable control strategy for a variable-speed variable-pitch WECS is proposed. It is designed for the complete operating regions of a wind turbine, including both of the partial load region and the full load region, with the objectives of maximizing energy capture, smoothing power output, alleviating drive train transient loads, and reducing pitch actuator activities. In particular, this paper considers the wind speed disturbance as norm-bounded, instead of deterministic or chance constraints in the widely used quadratic control methods such as linear quadratic Gaussian control and model predictive control. Moreover, the WECS control with the norm-bounded disturbance is formulated as a second-order cone programming (SOCP) problem that has not been previously employed for wind power control. Finally, simulation results are provided to demonstrate the validity of the proposed method.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Methods for Assessing Available Wind Primary Power Reserve
    • Authors: Wang; Y.;Bayem, H.;Giralt-Devant, M.;Silva, V.;Guillaud, X.;Francois, B.;
      Pages: 272 - 280
      Abstract: To ensure power system security with very high wind generation (WG) penetration, the participation of wind generators in primary frequency control is essential. Previous studies have shown the technical capability of wind turbines to participate in primary frequency regulation at a wind farm level. In order to analyze, the contribution of wind power to primary frequency regulation at system level one needs to quantify the amount of primary reserve from conventional sources that can be displaced. This amount of reserve depends on the aggregated variability of WG during each reserve provision time-interval. This paper presents a statistical approach to assess the impact of intrahour wind power variability on the volume of primary reserve that can be provided from WG. Furthermore, the effectiveness of different reserve allocation strategies is compared. The proposed approach is applied to a case study based on real-wind data measurements from the French island of Guadeloupe. Results show that for a small isolated system neglecting WG intrahourly variability leads to an overestimation of its contribution to primary reserve.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Automatic Contour-Based Road Network Design for Optimized Wind Farm
    • Authors: Gu; H.;Wang, J.;Lin, Q.;Gong, Q.;
      Pages: 281 - 289
      Abstract: Constructing the access roads between wind turbines requires a significant cost when a wind farm is built in hills or mountains. An optimized design of road network can substantially reduce construction costs and increase investment returns. In this paper, we consider a challenging problem of the road network design for a wind farm with complex topography. An automatic contour-based model is developed for road network design, and is incorporated into the optimization of wind farm micrositing to maximize investment returns of the wind farm. The directions of access roads are first deduced from a contour tree, the route projections are then designed by a gradient-bounded algorithm, and the most cost-effective road network is finally obtained by the minimum spanning tree algorithm. The topographic speedup, wind resource grid and Park wake model are incorporated to accurately evaluate the power production of the wind farm. Both the profit of wind energy sales and the cost of access roads are combined into a cost function called net present value, which is optimized using genetic algorithms. Simulation results illustrate that the length of access roads is decreased significantly while the locations of wind turbines are optimized. The proposed method simultaneously optimizes the turbine layout and road network of the wind farm, therefore achieving a more practical and profitable wind farm micrositing.
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • IEEE Transactions Smart Grid
    • Pages: 290 - 290
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • Scholarship Plus Initiative
    • Pages: 291 - 291
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
  • IEEE membership can help you yeach your personal goals
    • Pages: 292 - 292
      PubDate: Jan. 2015
      Issue No: Vol. 6, No. 1 (2015)
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