Subjects -> ENERGY (Total: 414 journals)
    - ELECTRICAL ENERGY (12 journals)
    - ENERGY (252 journals)
    - ENERGY: GENERAL (7 journals)
    - NUCLEAR ENERGY (40 journals)
    - PETROLEUM AND GAS (58 journals)
    - RENEWABLE ENERGY (45 journals)


Showing 1 - 12 of 12 Journals sorted by number of followers
IEEE Open Journal of Power Electronics     Open Access   (Followers: 13)
Journal of Power Electronics     Hybrid Journal   (Followers: 8)
Electrochemical Energy Reviews     Hybrid Journal   (Followers: 5)
CPSS Transactions on Power Electronics and Applications     Open Access   (Followers: 5)
IEEE Power and Energy Technology Systems Journal     Open Access   (Followers: 4)
IEEE Transactions on Transportation Electrification     Hybrid Journal   (Followers: 3)
Electrical Engineering and Power Engineering     Open Access   (Followers: 3)
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal   (Followers: 3)
CES Transactions on Electrical Machines and Systems     Open Access   (Followers: 1)
CSEE Journal of Power and Energy Systems     Open Access   (Followers: 1)
Journal of Power Sources Advances     Open Access   (Followers: 1)
KnE Energy     Open Access  
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CSEE Journal of Power and Energy Systems
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2096-0042
Published by IEEE Homepage  [228 journals]
  • Network Modeling and Operation Optimization of Electricity-HCNG-Integrated
           Energy System

    • Authors: Yue Qiu;Suyang Zhou;Wei Gu;Yuping Lu;Xiao-Ping Zhang;Kang Zhang;Gaoyan Han;Hongkun Lyu;
      Pages: 1251 - 1265
      Abstract: Hydrogen-enriched compressed natural gas (HCNG) has great potential for renewable energy and hydrogen utilization. However, injecting hydrogen into the natural gas network will change original fluid dynamics and complicate compressed gas's physical properties, threatening operational safety of the electricity-HCNG-integrated energy system (E-HCNG-IES). To resolve such problem, this paper investigates effect of HCNG on gas network dynamics and presents an improved HCNG network model, which embodies the influence of blending hydrogen on the pressure drop equation and line pack equation. In addition, an optimal dispatch model for the E-HCNG-IES, considering the “production-storage-blending-transportation-utilization” link of the HCNG supply chain, is also proposed. The dispatch model is converted into a mixed-integer second-order conic programming (MISOCP) problem using the second-order cone (SOC) relaxation and piecewise linearization techniques. An iterative algorithm is proposed based on the convex-concave procedure and bound-tightening method to obtain a tight solution. Finally, the proposed methodology is evaluated through two E-HCNG-IES numerical testbeds with different hydrogen volume fractions. Detailed operation analysis reveals that E-HCNG-IES can benefit from economic and environmental improvement with increased hydrogen volume fraction, despite declining energy delivery capacity and line pack flexibility.
      PubDate: TUE, 27 JUN 2023 10:01:25 -04
      Issue No: Vol. 9, No. 4 (2023)
  • Power-to-Hydrogen by Electrolysis in Carbon Neutrality: Technology
           Overview and Future Development

    • Authors: Zhiyao Zhong;Jiakun Fang;Kewei Hu;Danji Huang;Xiaomeng Ai;Xiaobo Yang;Jinyu Wen;Yuan Pan;Shijie Cheng;
      Pages: 1266 - 1283
      Abstract: Power-to-hydrogen by electrolysis (PtHE) is a promising technology in the carbon-neutral evolution of energy. PtHE not only contributes to renewable energy integration but also accelerates decarbonization in industrial sectors through green hydrogen production. This paper presents a comprehensive review of PtHE technology. First, technical solutions in PtHE technology are introduced to clarify pros and cons of one another. Besides, the multiphysics coupling and the multi-energy flow are investigated to reveal the insight mechanism during operation of compactly assembled industrial PtHE plants. Then, the development trends of core components in PtHE plants, including electrocatalysts, electrode plates and operation strategy, are reviewed, respectively. Research thrusts needed for PtHE in carbon-neutral transition are also summarized. Finally, three configurations of the PtHE plant in energy system integration are introduced, which can achieve renewable energy integration and efficient energy utilization.
      PubDate: TUE, 27 JUN 2023 10:01:24 -04
      Issue No: Vol. 9, No. 4 (2023)
  • Transient Stability Analysis of Large-scale Power Systems: A Survey

    • Authors: Qing-Hua Wu;Yuqing Lin;Chao Hong;Yinsheng Su;Tianhao Wen;Yang Liu;
      Pages: 1284 - 1300
      Abstract: Transient stability analysis is a key problem in power system operation and planning. This paper aims at giving a comprehensive review on the modeling ideas and analysis methods for transient stability of large-scale power systems. For model construction, the general modeling of traditional power systems and special modeling for renewable generations and high-voltage direct-current transmissions are introduced. For transient stability analysis, Lyapunov based methods and non-Lyapunov based methods are thoroughly reviewed. In Lyapunov based methods, we focus on the energy function method, the sum-of-squares based method and decentralized stability analysis methods. Meanwhile, in non-Lyapunov based methods, the time-domain simulation, extended equal-area criterion and data-driven based methods are considered. The basic working principles, features and recent research progresses of all the above-mentioned methods are described in detail. In particular, their performances on several aspects, such as computational speed, conservativeness of stability region estimation or stability margin calculation, and adaptability to various types of system models, are mentioned. Finally, a brief discussion of potential directions for future research on transient stability analysis of large-scale power systems is included.
      PubDate: THU, 20 APR 2023 10:03:20 -04
      Issue No: Vol. 9, No. 4 (2023)
  • Optimal Expansion Planning Model for Integrated Energy System Considering
           Integrated Demand Response and Bidirectional Energy Exchange

    • Authors: Wenkai Dong;Zhigang Lu;Liangce He;Jiangfeng Zhang;Tao Ma;Xiaobo Cao;
      Pages: 1449 - 1459
      Abstract: The challenges of energy shortage and environmental protection motivate people to take various measures to use energy wisely, and integrated energy systems are such a measure to tackle this challenge. In this paper, an optimal expansion planning model for an integrated energy system consisting of power grid, gas network and multiple energy hubs is proposed, where the planning objective is to minimize operational fuel cost and capital investment cost covering carbon capture equipment and energy hubs among others. To demonstrate the advantage of the proposed planning model, six case studies are investigated, and 13.47% annual cost savings can be achieved compared with the baseline planning scenario, which does not consider bidirectional energy exchange and integrated demand response program.
      PubDate: THU, 20 APR 2023 10:04:15 -04
      Issue No: Vol. 9, No. 4 (2023)
  • Real-time Energy Management of Low-carbon Ship Microgrid Based on
           Data-driven Stochastic Model Predictive Control

    • Authors: Hui Hou;Ming Gan;Xixiu Wu;Kun Xie;Zeyang Fan;Changjun Xie;Ying Shi;Liang Huang;
      Pages: 1482 - 1492
      Abstract: With increasing restrictions on ship carbon emissions, it has become a trend for ships to use zero-carbon energy such as solar to replace traditional fossil energy. However, uncertainties of solar energy and load affect safe and stable operation of the ship microgrid. In order to deal with uncertainties and real-time requirements and promote application of ship zero-carbon energy, we propose a real-time energy management strategy based on data-driven stochastic model predictive control. First, we establish a ship photovoltaic and load scenario set considering time-sequential correlation of prediction error through three steps. Three steps include probability prediction, equal probability inverse transformation scenario set generation, and simultaneous backward method scenario set reduction. Second, combined with scenario prediction information and rolling optimization feedback correction, we propose a stochastic model predictive control energy management strategy. In each scenario, the proposed strategy has the lowest expected operational cost of control output. Then, we train the random forest machine learning regression algorithm to carry out multivariable regression on samples generated by running the stochastic model predictive control. Finally, a low-carbon ship microgrid with photovoltaic is simulated. Simulation results demonstrate the proposed strategy can achieve both real-time application of the strategy, as well as operational cost and carbon emission optimization performance close to stochastic model predictive control.
      PubDate: THU, 20 APR 2023 10:04:21 -04
      Issue No: Vol. 9, No. 4 (2023)
  • Partial Correlation Analysis Based Identification of Distribution Network

    • Authors: Yanli Liu;Peng Wang;
      Pages: 1493 - 1504
      Abstract: Accurately identifying distribution network topology, which tends to be a mesh configuration with increasing penetration rate of distributed energy resources (DERs), is critical for reliable operation of a smart distribution network. Multicollinearity among node voltages makes existing topology identification methods unstable and inaccurate. Considering partial correlation analysis can reveal the intrinsic correlation of two variables by eliminating the influence of other variables, this paper develops a novel data-driven method based on partial correlation analysis to identify distribution network topology (radial, mesh, or including DERs) using only historical voltage amplitude data. First, maximum spanning tree of network is generated through Prim algorithm. Then, the loops of network are identified by taking tree neighbors as controlling variables in partial correlation analysis. Finally, a new topology verification mechanism based on partial correlation analysis is developed to correct wrong connections caused by multicollinearity. Test results on IEEE 33-node system, IEEE 123-node system and practical distribution network demonstrate that our method outperforms common data-driven methods, and can robustly identify both radial and mesh distribution network with DERs.
      PubDate: WED, 25 JAN 2023 10:01:00 -04
      Issue No: Vol. 9, No. 4 (2023)
  • Optimal Secondary Control of Islanded AC Microgrids with Communication
           Time-delay Based on Multi-agent Deep Reinforcement Learning

    • Authors: Yang Xia;Yan Xu;Yu Wang;Suman Mondal;Souvik Dasgupta;Amit. K. Gupta;
      Pages: 1301 - 1311
      Abstract: In this paper, an optimal secondary control strategy is proposed for islanded AC microgrids considering communication time-delays. The proposed method is designed based on the data-driven principle, which consists of an offline training phase and online application phase. For offline training, each control agent is formulated by a deep neural network (DNN) and trained based on a multi-agent deep reinforcement learning (MA-DRL) framework. A deep deterministic policy gradient (DDPG) algorithm is improved and applied to search for an optimal policy of the secondary control, where a global cost function is developed to evaluate the overall control performance. In addition, the communication time-delay is introduced in the system to enrich training scenarios, which aims to solve the time-delay problem in the secondary control. For the online stage, each controller is deployed in a distributed way which only requires local and neighboring information for each DG. Based on this, the well-trained controllers can provide optimal solutions under load variations, and communication time-delays for online applications. Several case studies are conducted to validate the feasibility and stability of the proposed secondary control.
      PubDate: WED, 12 OCT 2022 10:02:04 -04
      Issue No: Vol. 9, No. 4 (2022)
  • Fast SHEPWM Solution Method for Wind Power Converter Based on State

    • Authors: Ning Li;Shiqian Zhang;Xiaokang Liu;Yan Zhang;Lin Jiang;
      Pages: 1383 - 1393
      Abstract: Selective harmonic elimination pulse width modulation (SHEPWM) is a modulation strategy widely used for three-level wind power grid-connected converters. Its purpose is to eliminate specified sub-low frequency harmonics by controlling switching angle. Furthermore, it can reduce fluctuation of the microgrid system and improve system stability. Intelligent algorithms have been applied to the SHEPWM solution process to mitigate calculation complexity associated with the algebraic method, as well as the need to set the initial value. However, disorder of the optimization result causes difficulty in satisfying incremental constraint of the three-level NPC switching angles, and affects the success rate of the algorithm. To overcome this limitation, this paper proposes a fast SHEPWM strategy to optimize the result obtained by the intelligent algorithm. The SHEPWM can be realized by solving switching angles through a state equations-based mathematical model, which is constructed by using the initial variables randomly generated by the intelligent algorithm as the disturbance. This mathematical model improves the success rate of calculation by simplifying constraint representation of switching angles and solving the disorder problem of the optimization result. At the same time, a method based on the circle equation and the trigonometric function is applied to the initial variable assignment of the state equation, which further improves the speed and accuracy of the solution, realizes a more thorough filtering effect, and further reduces the impact of sub-low frequency harmonics on a wind power integrated system. Finally, simulation and experiment results have been used to prove the effectiveness of the proposed SHEPWM strategy when combined with intelligent algorithms.
      PubDate: FRI, 09 DEC 2022 10:03:02 -04
      Issue No: Vol. 9, No. 4 (2022)
  • Data-driven Estimation for a Region of Attraction for Transient Stability
           Using the Koopman Operator

    • Authors: Le Zheng;Xin Liu;Yanhui Xu;Wei Hu;Chongru Liu;
      Pages: 1405 - 1413
      Abstract: This paper presents a novel Koopman Operator based framework to estimate the region of attraction for power system transient stability analysis. The Koopman eigenfunctions are used to numerically construct a Lyapunov function. Then the level set of the function is utilized to estimate the boundary of the region of attraction. The method provides a systematic method to construct the Lyapunov function with data sampled from the state space, which suits any power system models and is easy to use compared to traditional Lyapunov direct methods. In addition, the constructed Lyapunov function can capture the geometric properties of the region of attraction, thus providing useful information about the instability modes. The method has been verified by a simple illustrative example and three power system models, including a voltage source converter interfaced system to analyze the large signal synchronizing instability induced by the phase lock loop dynamics. The proposed method provides an alternative approach to understanding the geometric properties and estimating the boundary of the region of attraction of power systems in a data driven manner.
      PubDate: WED, 12 OCT 2022 10:02:04 -04
      Issue No: Vol. 9, No. 4 (2022)
  • Microgrid Energy Management: Classification, Review and Challenges

    • Authors: Lejla Ahmethodžić;Mustafa Musić;Senad Huseinbegović;
      Pages: 1425 - 1438
      Abstract: Microgrids provide a way to introduce ecologically acceptable energy production to the power grid. The main challenges with microgrids are overall control, as well as maintaining safe, reliable and economical operation. Researchers explore implementing these possibilities, but in rapidly expanding areas of research there is always a need to review what has been done so far and give guidelines to new researchers on topics in need of more exploration. This paper offers an extensive literature review of the energy management part of the microgrid control system. Based on extensive literature research, the authors of this article offer their view on energy management system organization. Review through centralized and decentralized structure is given. The most popular research topic is the optimization of energy management. This paper offers a new perspective on the classification of optimization methods used for microgrid energy management, listing and sorting many problem related references. The microgrid is not an assembly of independent elements but rather a coordinated system of intertwined functions. These elements of microgrid functioning, like energy storage systems, demand side management. Electric vehicles are also explored in this paper, giving the current state of their research through references.
      PubDate: WED, 12 OCT 2022 10:02:04 -04
      Issue No: Vol. 9, No. 4 (2022)
  • Improving the Performance of DC Microgrids by Utilizing Adaptive
           Takagi-Sugeno Model Predictive Control

    • Authors: Hui Hwang Goh;Jiahui Kang;Dongdong Zhang;Hui Liu;Wei Dai;Tonni Agustiono Kurniawan;Kai Chen Goh;
      Pages: 1472 - 1481
      Abstract: In naval direct current (DC) microgrids, pulsed power loads (PPLs) are becoming more prominent. A solar system, an energy storage system, and a pulse load coupled directly to the DC bus compose a DC microgrid in this study. For DC microgrids equipped with sonar, radar, and other sensors, pulse load research is crucial. Due to high pulse loads, there is a possibility of severe power pulsation and voltage loss. The original contribution of this paper is that we are able to address the nonlinear problem by applying the Takagi-Sugeno (TS) model formulation for naval DC microgrids. Additionally, we provide a nonlinear power observer for estimating major disturbances affecting DC microgrids. To demonstrate the TS-potential, we examine three approaches for mitigating their negative effects: instantaneous power control (IPC) control, model predictive control (MPC) formulation, and TS-MPC approach with compensated PPLs. The results reveal that the TS-MPC approach with adjusted PPLs effectively shares power and regulates bus voltage under a variety of load conditions, while greatly decreasing detrimental impacts of the pulse load. Additionally, the comparison confirmed the efficiency of this technique.
      PubDate: FRI, 09 DEC 2022 10:03:02 -04
      Issue No: Vol. 9, No. 4 (2022)
  • Analysis of Operational Characteristics and Equivalent Test Method for
           IGBTs in MMC

    • Authors: Yixuan Yang;Guangfu Tang;Shan Liu;Gaoyong Wang;Zhiyuan He;
      Pages: 1567 - 1576
      Abstract: A design methodology and a feasible equivalent circuit are proposed to test the reliability of insulated gate bipolar transistors (IGBT) in actual modular multilevel converter (MMC) conditions, which is impossible for existing IGBT test platforms due to unexplicit equivalent indexes and low reliability of test platforms. Characteristics of IGBT devices are extracted during MMC operation, and turn-off transient and effective current are highlighted as key indexes for the equivalent test. A feasible equivalent timing diagram and a corresponding test circuit are proposed, as well as the circuit's operation concept. The proposed equivalent test method is verified by a back-to-back experiment with twenty-four submodules, and results indicate the proposed method has good equivalence. Between the proposed circuit waveform and the back-to-back experiment waveform, all indexes have errors of less than 5.9%. Furthermore, the proposed circuit components have losses less than 0.7 times those of the device under test, making them reliable and suitable for long-term operation tests for IGBT devices in MMC.
      PubDate: FRI, 09 DEC 2022 10:03:02 -04
      Issue No: Vol. 9, No. 4 (2022)
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