Hybrid journal (It can contain Open Access articles) ISSN (Print) 1757-1154 - ISSN (Online) 1757-1162 Published by Inderscience Publishers[439 journals]
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Authors:Chengjie Cao, Fangyuan Tian, Darui He, Jiaqi Zheng, Yifei Fan Pages: 105 - 120 Abstract: Aiming at the problems of low fault location accuracy and large diagnosis error of traditional link fault diagnosis methods, this paper designs a new fault diagnosis method for substation relay protection link operation based on characteristic parameters. Firstly, the equivalent circuit fault characteristic parameters of the link are extracted through the degradation model, and the characteristic parameters such as link rated delay drift, link sampling value and frame loss are determined. Then, the correlation of characteristic parameters is determined according to the clustering core parameters, and the irrelevant characteristic parameters are removed through the error function. Finally, the fault characteristic sequence is determined according to different characteristic parameters in the node, and the fault point location is determined by Min distance to achieve fault diagnosis. The experimental results show that the proposed method can improve the accuracy of link fault location, and the diagnosis effect is good. Keywords: characteristic parameter; substation; relay protection link; fault diagnosis; FCM algorithm; membership Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 105 - 120 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134869 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Jing Yuan, Pei Li, Zhifei Jiang, Hongfei Chen, Xurui Wu Pages: 121 - 132 Abstract: In order to solve the problems of large relative monitoring error and large fluctuation of monitoring information acquisition frequency existing in traditional methods, this paper proposes a monitoring method based on differential protection to prevent leapfrog tripping for high voltage power system. First, the tripping fault features are extracted and the monitoring points for preventing leapfrog tripping are arranged. Then, determine whether the pilot differential protection is enabled by judging whether the leapfrog tripping fault may occur in the monitoring area. Finally, based on the action of pilot differential protection, the power system information is summarised, and the monitoring is carried out for leapfrog tripping. The experiment shows that the relative monitoring error of the method is always below 2.0%, and the acquisition frequency after adding stray harmonic interference is stable between 0.50 Mbps and 0.60 Mbps, which shows that the method effectively realises the design expectation. Keywords: high voltage power system; leapfrog tripping fault; fault monitoring; differential protection; fault current Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 121 - 132 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134870 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Lingling Zhu, Dongyuan Zhao Pages: 133 - 147 Abstract: Aiming at the problems of large error and long evaluation time in power customer energy efficiency evaluation, this paper designs a demand-side response based power customer energy efficiency evaluation method. Firstly, determine the composition of energy efficiency equipment of power customers, as well as the primary and secondary indicators of power energy efficiency evaluation, and build an energy efficiency evaluation system. Secondly, complete the screening of energy efficiency evaluation indicators for power customers through multi-indicator analysis. Then, determine the cost curve change trend of power customer demand-side response, set the power balance constraints in power customer energy efficiency, build the power customer energy efficiency evaluation model of demand-side response, and complete the power customer energy efficiency evaluation. The test results show that the time cost of the proposed method is short, and the evaluation error is significantly reduced, and the maximum evaluation error is less than 0.5%. Keywords: power customer energy efficiency; demand side response; first-level indicators; power factor; weighted average; balance constraint Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 133 - 147 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134872 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Yunhao Yu, Chameiling Di, Xiang Guo Pages: 148 - 158 Abstract: In order to improve the accuracy and efficiency of power system network security risk assessment, this paper proposes a new power system network security risk assessment method based on RBF neural network. Firstly, establish the safety risk assessment index system and build the risk assessment matrix. Secondly, the risk value of the evaluation index is calculated according to the information entropy of the index. Finally, taking the risk value of the evaluation index as the input and the result of the power system network security risk assessment as the output, the RBF neural network is used to build the power system network security risk assessment model and the network security risk assessment result is obtained. The experiment shows that the maximum safety risk assessment accuracy of this method can reach 96% and the maximum assessment efficiency can reach 98%. Keywords: RBF neural network; power system; network security risk; risk assessment Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 148 - 158 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134871 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Yu Cao, JianWei Zhang, LiangBiao Zhu Pages: 159 - 175 Abstract: In order to solve the problems of low accuracy and long time in locating interphase short circuit faults in digital distribution networks, this paper proposes fault location method for interphase short circuit in digital distribution network based on genetic algorithm. Firstly, the digital distribution network structure is determined. Then, the characteristics of interphase short circuit faults in digital distribution networks are identified. Finally, the interphase short circuit fault of digital distribution network is located. The results show that the proposed method can effectively improve the accuracy of fault location, and the location time is shorter. Keywords: genetic algorithm; digital distribution network; short circuit between phases; fault location; zero sequence component; binary encoding Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 159 - 175 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134879 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Chinwendu Ugochukwu Eze, Uche Chinweoke Ogbuefi, Boniface Onyemaechi Anyaka Pages: 176 - 193 Abstract: Embedded generators (EG) are small-sized generators connected to distribution systems. They compensate the system, improving the quality of power delivered to the loads. Embedded generator technology could be renewable energy (solar energy, small and micro-hydro, wind energy, and biomass) or non-renewable energy (fuel cells, micro-turbines, natural gas generators, and combustion turbines). This study presents a novel algorithm for optimising the sizes and locations of EG integrated into a 33 kV 27-bus distribution system. The optimisation method minimises overall active system losses and enhances the voltage profile. Voltage sensitivity and headroom capacity are two criteria for finding the EG' optimal size and locations. The result gives 29% active loss reduction and enhanced voltage profile. Also, the headroom capacity criterion narrows the search for optimal locations resulting in reduced computational and iteration time. Embedded generator optimal sizes and locations are calculated to be at bus 3 (1.97 MW), bus 6 (1.68 MW), bus 7 (8.73 MW) and bus 26 (8.99 MW). Keywords: distribution system; embedded generation; EG; fault analysis; genetic algorithm; headroom; load flow analysis; optimising; power loss minimisation; renewable energy; switchgear; voltage sensitivity Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 176 - 193 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134874 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Chinwendu Ugochukwu Eze, Uche Chinweoke Ogbuefi, Boniface Onyemaechi Anyaka Pages: 194 - 209 Abstract: Intelligent substation DC transformer control cannot only improve the reliability and safety of intelligent substations, but also provide technical support for voltage regulation, power quality control, and other aspects. Therefore, an intelligent substation DC transformer control based on fuzzy PID technology is proposed. The equivalent circuit of the intelligent substation DC transformer is determined, the input voltage, input current, and power loss of each unit module of the equivalent circuit are calculated, and a mathematical model of the DC transformer is built. The signal of the intelligent substation DC transformer is collected, the collected signal is denoised using the CEEMDAN algorithm, and the denoised signal is input into the fuzzy PID controller to achieve DC transformer control. Experimental results show that the method has good control effects on transformer voltage and current, and the maximum control success rate is 98.5%. Keywords: fuzzy PID technology; intelligent substation; DC transformer; transformer control; CEEMDAN algorithm Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 194 - 209 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134875 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Ping Zhang, Dajun Tang, Hui Yang, Yi Zeng Pages: 210 - 225 Abstract: To reduce the error rate of fault localisation and improve the accuracy and efficiency of power system grounding fault localisation, a power system grounding fault localisation method based on adaptive filtering is proposed. Analyse the parameter states of direct distribution lines and single phase line grounding to determine the type of grounding fault in the power system. Determine the location of the fault point based on the differences between different line ends in the power system; using adaptive Kalman state to determine the actual location of the fault point. Using the fault points in travelling wave ranging as harmonic components, establish a state space model, and use adaptive filters to achieve transient fault localisation. The test results show that this method can reduce the positioning error of grounding fault points, with an error always below 1.5%, and the required time is shorter, with a maximum time of 0.23 seconds. Keywords: adaptive filtering; power system; ground fault point; location; travelling wave ranging; parameter estimation Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 210 - 225 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134876 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Yaodong Li, Bo Peng, Xianfu Gong, Anning Meng, Jinxiu Hou, Hui Liao Pages: 226 - 243 Abstract: In this paper, a short-term power load forecasting method based on improved generalised regression neural network is proposed. The autocorrelation, timing, and periodicity characteristics of short-term power loads based on time series characteristics are determined, and load data change rules based on changing factors are obtained. The trend of daily and weekly load changes through load data scatter charts is determined, load data at different stages is extracted, and the Spearman correlation coefficient to collect power load data is introduced. A generalised regression neural network architecture is constructed, that is, the number of neurons is determined, input sample short-term power load data, and the number of neurons is kept consistent with the training load. Weights to optimise neuron attributes are introduced, the latest short-term power load data output layer is then constructed, and finally, the timely power load forecasting is achieved. Experimental results show that the proposed method can reduce prediction errors and is feasible. Keywords: improved generalised regression neural network; short-term power load; prediction method; autocorrelation; spearman correlation coefficient Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 226 - 243 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134881 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Yaodong Li, Bo Peng, Xianfu Gong, Anning Meng, Jinxiu Hou, Hui Liao Pages: 244 - 260 Abstract: Power distribution devices are prone to interference from weak current circuits, resulting in low efficiency and large errors in weak current signal recognition. A method of weak current signal recognition for distribution equipment based on vector control is proposed. According to the bathtub curve operation, analyse the serial and parallel network structure of the power distribution device to determine the failure rate. STFT algorithm is used to analyse the temporal positioning ability of weak current signals, and Fourier transform algorithm is introduced to extract different characteristics of weak current signals. Transform the vector coordinates of the power distribution device and segment them. The sampling frequency of the weak current signal of the distribution device is set based on the modulated voltage space vector, and the weak current signal recognition model of the distribution device is constructed. The test results show that the method has good recognition effect. Keywords: vector control; distribution device; weak current signal; identification method; bathtub shaped curve; STFT algorithm; frequency shift characteristics Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 244 - 260 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134880 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Saket Saurabh, Ramesh Kumar Pages: 261 - 279 Abstract: In economies with energy deficits, the concept of optimal cost-effective installation of energy systems is critical. Installing photovoltaic (PV) systems, which may generate electricity from the sun's energy, is a possible solution. Nevertheless, the cost of energy generation and delivery is a significant issue in the adoption of PV systems, particularly in nations with energy shortages. This research emphasises the need of considering the levelised cost of electricity (LCOE) while installing PV systems in order to overcome this issue. Even in economies with energy deficits, the LCOE can be used to evaluate the most cost-effective and environmentally friendly choices for satisfying energy needs. This research concludes by emphasising the significance of considering LCOE when implementing PV systems in economies with energy deficits. It is possible to ensure that energy solutions are cost-effective, sustainable, and able to fulfil the rising energy demand in these economies by taking these steps. Keywords: PV; load-shedding; roof-top; optimisation; HOMER-software; genetic algorithm; renewable-energy Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 261 - 279 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134883 Issue No:Vol. 14, No. 2/3 (2023)
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Authors:Samraat Sharma, Bhavesh Kumar Chauhan, Nitin Kumar Saxena Pages: 280 - 309 Abstract: A hybrid photovoltaic wind with a battery microgrid system that implements fuzzy logic control is designed and implemented. The proposed method uses the Mamdani method for fuzzification and the centre-of-gravity method for defuzzification in the fuzzy logic controller to harvest power under variable ambient and load conditions. Multi-objective control strategies achieve maximum output for photovoltaic and wind energy systems. The DC bus voltage is maintained by implementing a voltage control method using a bidirectional converter with a battery, and the current flow is controlled by an inverter control for the grid-side converter depending on the SOC of the battery and the photovoltaic current received. A phase-locked loop for frequency and phase synchronisation of the grid and an LCL filter to eliminate harmonics in the single-phase grid are also integrated into the microgrid system. Keywords: fuzzy logic; microgrid; renewable energy integration; bidirectional converters; maximum power point tracking; photovoltaic wind battery system Citation: International Journal of Power and Energy Conversion, Vol. 14, No. 2/3 (2023) pp. 280 - 309 PubDate: 2023-11-15T23:20:50-05:00 DOI: 10.1504/IJPEC.2023.134873 Issue No:Vol. 14, No. 2/3 (2023)
Hybrid journal (It can contain Open Access articles)
[439 journals]
