包含分布式电源的配电网无功优化_张丽.pdf

2011 年 3 月 电 工 技 术 学 报 Vol.26 No. 3 第 26 卷第 3 期 TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY Mar. 2011 包含分布式电源的配电网无功优化 张 丽 徐玉琴 王增平 李雪冬 李 鹏 （华北电力大学电力系统保护与动态安全监控教育部重点实验室 保定 071003 ） 摘要 将能够提供无功功率的分布式电源与传统的电压调节手段相结合，研究了包含分布式 电源的配电网无功优化问题。利用基于聚类和竞争克隆机制的多智能体免疫算法实现无功优化， 建立了无功优化问题的多智能体免疫模型。利用多智能体系统实现在寻优过程中动态改变抗原， 在亲和度成熟过程中引入聚类竞争克隆机制和混合变异算子，以保存种群的多样性，同时保证算 法能够较快的收敛。通过改进的IEEE 33 节点系统的仿真计算，表明利用分布式电源对电网进行 无功补偿能较大程度地降低系统有功损耗，并且证明了所提算法的快速性和有效性。 关键词：配电系统 无功优化 多智能体 免疫算法 分布式发电 中图分类号：TM714 Reactive Power Optimization for Distribution System With Distributed Generators Zhang Li Xu Yuqin Wang Zengping Li Xuedong Li Peng （Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control Under Ministry of Education North China Electric Power University Baoding 071003 China ） Abstract By integrating the reactive power of the distributed generators (DGs) to be the control variables, the reactive power optimization problem in distribution power system with DGs is discussed. Multi-agent immune algorithm based on the mechanism of antibody cluster and compete expansion is proposed to solve the reactive power optimization problem. Its model based on multi-agent immune algorithm is established. The antigens could be changed dynamically as quickly as it could in the process of searching for the best solution due to the efficient multi-agent system. To quickly obtain the global optimum and local optimum, this algorithm adopts the ideas of antibody cluster, compete expansion and antibody mixed mutation in the process of affinity maturation. Through those operators, the variety of antibody is