| 基于改进遗传算法的海上风电场无功优化 |
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| 引用本文： | 吴星,刘天羽,江秀臣,盛戈皞.基于改进遗传算法的海上风电场无功优化[J].电测与仪表,2020,57(4):108-113. |
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| 作者姓名： | 吴星 刘天羽 江秀臣 盛戈皞 |
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| 作者单位： | 上海电机学院电气学院,上海电机学院电气学院,上海交通大学电气工程系,上海交通大学电气工程系 |
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| 基金项目： | 国家自然科学基金项目（ 51477099） |
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| 摘 要： | 针对海上风电场运行时大量无功传输引起电网质量不佳、有功损耗增加等问题,基于改进的带精英策略的快速非支配排序遗传算法,以补偿容量最少和负荷节点电压偏差最小为目标,提出海上风电场无功多目标优化方案,在Matlab中进行算例分析,结果验证了改进的遗传算法对海上风场无功优化的有效性。
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| 关 键 词： | 海上风电场 NSGA2 无功优化 多目标优化 |
| 收稿时间： | 2018/10/1 0:00:00 |
| 修稿时间： | 2018/10/1 0:00:00 |
Research on reactive power optimization of offshore wind farm based on improved genetic algorithm |
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| Wu Xing,Liu Tianyu,Jiang Xiuchen and Sheng Gehao.Research on reactive power optimization of offshore wind farm based on improved genetic algorithm[J].Electrical Measurement & Instrumentation,2020,57(4):108-113. |
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| Authors: | Wu Xing Liu Tianyu Jiang Xiuchen and Sheng Gehao |
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| Affiliation: | College of Electrical Engineering,Shanghai Dianji University,College of Electrical Engineering,Shanghai Dianji University,Department of Electrical Engineering, Shanghai Jiao Tong University,Department of Electrical Engineering, Shanghai Jiao Tong University |
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| Abstract: | Aiming at the problems of poor grid quality and active loss caused by large amount of reactive power transmission during operation of offshore wind farms, based on the improved fast non-dominated sorting genetic algorithm with elite strategy, the goal was to minimize the compensation capacity and minimize the voltage deviation of the load node. The reactive multi-objective optimization scheme for offshore wind farms was analyzed in Matlab. The results verified the effectiveness of the improved genetic algorithm for reactive power optimization in offshore wind farms. |
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| Keywords: | offshore wind farm NSGA2 reactive power optimization multi-objective optimization |
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