针对目前大规模风电汇集电网的无功补偿多以电压偏差控制为主,无法良好适应电压不平衡运行工况这一问题,该文提出一种基于分相潮流优化的风电汇集电网电压综合补偿方法。首先,建立以目标节点电压不平衡度均值最小、三相电压偏差均值最小、集中无功补偿设备总补偿量最小为优化目标的分相潮流优化模型。之后,利用多目标粒子群优化算法求解优化模型并对其改进以提升寻优性能。对于求解得到的准最优补偿方案,通过序关系分析法与逼近理想解排序法相结合的方式决策出最优补偿方案。最后,以华北地区某实际风电汇集电网为原型算例验证了所提策略的有效性以及改进多目标粒子群优化算法的优势。
Abstract
Aiming at the issue that the reactive power compensation of large-scale wind power integration grid mainly focuses on voltage deviation, which can not adapt to the voltage imbalance operation condition, this paper proposes a comprehensive voltage compensation method based on split-phase power flow optimization （SPPFO）. Firstly, a SPPFO model is established, which takes the minimum mean value of voltage unbalance, the minimum mean value of three-phase voltage deviation and the minimum total compensation amount of centralized reactive power compensation equipment as the optimization objectives. After that, an improved multi-objective particle swarm optimization（MOPSO） algorithm is used to solve the optimization model with high performance. Furthermore, for the obtained quasi-optimal compensation schemes as the solutions of SPPFO, the optimal compensation scheme is determined by the combination of order relation analysis method and the technique for order preference by similarity to an ideal solution method （TOPSIS）. Finally, an actual wind power integration grid in north China is taken as a case study to verify the effectiveness of the proposed strategy and the advantages of the proposed improved MOPSO.
关键词
电压不平衡 /
电压质量 /
粒子群算法 /
风电汇集电网 /
分相潮流优化
Key words
voltage imbalance /
voltage quality /
particle swarm optimization /
wind power integration grid /
split-phase power flow optimization
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参考文献
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基金
国家重点研发计划（2023YFB4203200）; 中国南方电网有限责任公司科技项目（1500002023030103FZ00101）
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