Reactive Power Optimization of Distribution Network Considering the Reactive Power Output of Doubly Fed Induction Generator
[Objective] At present, wind power generation has been widely used, but wind power is volatile and unstable, and the grid voltage fluctuation and network loss increase will be caused after wind farms are connected to the grid. To solve these problems, a multi-objective reactive power optimization mo...
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| Format: | Article |
| Language: | English |
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Energy Observer Magazine Co., Ltd.
2025-01-01
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| Series: | 南方能源建设 |
| Subjects: | |
| Online Access: | https://www.energychina.press/en/article/doi/10.16516/j.ceec.2024-293 |
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| author | Cheng ZHANG Yu CHEN Can LI Liangshuai LU Zhenglong XIA |
| author_facet | Cheng ZHANG Yu CHEN Can LI Liangshuai LU Zhenglong XIA |
| author_sort | Cheng ZHANG |
| collection | DOAJ |
| description | [Objective] At present, wind power generation has been widely used, but wind power is volatile and unstable, and the grid voltage fluctuation and network loss increase will be caused after wind farms are connected to the grid. To solve these problems, a multi-objective reactive power optimization model of distribution network considering the reactive power output of doubly fed induction generator is proposed. [Method] Based on the segmentation idea, the uncertain dynamic problem of wind power was transformed into a definite static problem, and the improved whale optimization algorithm was used to solve the mathematical model. In order to solve the problems of low precision, slow convergence speed and easy to fall into local optimality of the traditional whale optimization algorithm, a hybrid strategy was adopted to improve whale optimization algorithm, and some improved methods such as tent mapping initialization, adaptive weight and adaptive probability threshold were introduced. [Result] Taking the improved IEEE33 node distribution network as an example, the improved whale optimization algorithm can improve the global search ability and convergence speed comparing the particle swarm optimization and gray wolf optimizer. [Conclusion] The optimal reactive power output of wind farm optimized by the proposed strategy can reduce more system losses and improve the voltage stability of distribution network. |
| format | Article |
| id | doaj-art-037c6eeaf2b449439496c4b84e8fbe4d |
| institution | Kabale University |
| issn | 2095-8676 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Energy Observer Magazine Co., Ltd. |
| record_format | Article |
| series | 南方能源建设 |
| spelling | doaj-art-037c6eeaf2b449439496c4b84e8fbe4d2025-01-25T06:21:38ZengEnergy Observer Magazine Co., Ltd.南方能源建设2095-86762025-01-0112116817610.16516/j.ceec.2024-2932024-293Reactive Power Optimization of Distribution Network Considering the Reactive Power Output of Doubly Fed Induction GeneratorCheng ZHANG0Yu CHEN1Can LI2Liangshuai LU3Zhenglong XIA4School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, Jiangsu, ChinaSchool of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, Jiangsu, ChinaSchool of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, Jiangsu, ChinaSchool of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, Jiangsu, ChinaSchool of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China[Objective] At present, wind power generation has been widely used, but wind power is volatile and unstable, and the grid voltage fluctuation and network loss increase will be caused after wind farms are connected to the grid. To solve these problems, a multi-objective reactive power optimization model of distribution network considering the reactive power output of doubly fed induction generator is proposed. [Method] Based on the segmentation idea, the uncertain dynamic problem of wind power was transformed into a definite static problem, and the improved whale optimization algorithm was used to solve the mathematical model. In order to solve the problems of low precision, slow convergence speed and easy to fall into local optimality of the traditional whale optimization algorithm, a hybrid strategy was adopted to improve whale optimization algorithm, and some improved methods such as tent mapping initialization, adaptive weight and adaptive probability threshold were introduced. [Result] Taking the improved IEEE33 node distribution network as an example, the improved whale optimization algorithm can improve the global search ability and convergence speed comparing the particle swarm optimization and gray wolf optimizer. [Conclusion] The optimal reactive power output of wind farm optimized by the proposed strategy can reduce more system losses and improve the voltage stability of distribution network.https://www.energychina.press/en/article/doi/10.16516/j.ceec.2024-293distribution networkdoubly fed induction generatortime-sharing strategyreactive power compensation nodeimproved whale optimization algorithm |
| spellingShingle | Cheng ZHANG Yu CHEN Can LI Liangshuai LU Zhenglong XIA Reactive Power Optimization of Distribution Network Considering the Reactive Power Output of Doubly Fed Induction Generator 南方能源建设 distribution network doubly fed induction generator time-sharing strategy reactive power compensation node improved whale optimization algorithm |
| title | Reactive Power Optimization of Distribution Network Considering the Reactive Power Output of Doubly Fed Induction Generator |
| title_full | Reactive Power Optimization of Distribution Network Considering the Reactive Power Output of Doubly Fed Induction Generator |
| title_fullStr | Reactive Power Optimization of Distribution Network Considering the Reactive Power Output of Doubly Fed Induction Generator |
| title_full_unstemmed | Reactive Power Optimization of Distribution Network Considering the Reactive Power Output of Doubly Fed Induction Generator |
| title_short | Reactive Power Optimization of Distribution Network Considering the Reactive Power Output of Doubly Fed Induction Generator |
| title_sort | reactive power optimization of distribution network considering the reactive power output of doubly fed induction generator |
| topic | distribution network doubly fed induction generator time-sharing strategy reactive power compensation node improved whale optimization algorithm |
| url | https://www.energychina.press/en/article/doi/10.16516/j.ceec.2024-293 |
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