电力系统保护与控制Issue(9)：100-105,6.
含风电场的配电网无功优化策略研究
Reactive power optimization strategy in distribution network with wind farm
摘要
Abstract
Considering the traditional methods of voltage adjusting in distribution network reactive power optimization is discretized, and difficult to realize the continuous voltage adjustment, this paper studies the reactive power optimization model and algorithm in distribution network with wind farm. The limitation of reactive power capacity of doubly-fed induction generator is considered and the wind farm is taken as a continuous reactive power adjustment means to participate in the optimization. Scenario power is used to describe the random power of wind farm in respect to the random characteristic of wind power. The network loss, deviation of voltage and stability of voltage are included in the multi-objective reactive power optimization model. Reactive power optimization based on quantum particle swarm optimization(QPSO) is proposed. The algorithm describes particle state by wave function, which not only increases the diversity of population, but also avoids premature of population. The comparison of results between QPSO with PSO on the modified IEEE 33-bus system demonstrates the effectiveness and advantage of quantum particle swarm optimization model, which can achieve a better global optimal solution and shows a faster convergence speed. This work is supported by National Natural Science Foundation of China (No. 51177177).关键词
风电场/无功极限/场景模型/多目标无功优化/量子粒子群算法Key words
wind farm/reactive power limitation/scenario model/multi-objective reactive power optimization/QPSO分类
信息技术与安全科学引用本文复制引用
李闯,陈民铀,付昂,李俊杰,郑永伟..含风电场的配电网无功优化策略研究[J].电力系统保护与控制,2013,(9):100-105,6.基金项目
国家自然科学基金资助项目（51177177）；重庆市科技攻关项目 （）
