基于禁忌搜索-免疫粒子群算法的无功优化  

Study on reactive power optimization based on tabu search-IA PSO

作　　者：吴肖锋[1] 仲伟坤[1] 范华君 

机构地区：[1]东北电力大学电气工程学院,吉林吉林132012 [2]绵阳供电局,四川绵阳621000

出　　处：《黑龙江电力》2013年第3期211-214,共4页Heilongjiang Electric Power

摘　　要：在考虑经济性网损的基础上,研究了电压稳定对无功的影响,建立了多目标无功优化的数学模型,采用模糊权重法将多目标无功优化转化为单目标无功优化进行求解。针对粒子群算法易早熟和后期收敛性差的缺点,提出免疫算法和禁忌搜索算法协同进行机制,并将该算法应用于IEEE-30节点系统上进行测试,证明了改进粒子群算法的有效性。Taking economic network loss into consideration, this paper studies the influence of voltage stability on reactive power, and establishes the numerical model of multi - objective reactive power optimization. Fuzzy weight method,transforming multi -objective reactive power optimization to single -objective, is applied to solve the model. Aiming at the early maturity and poor later convergence of PSO, the paper proposes a method combing of IA and TS, the method which is applied in IEEE -30 node system and proves the effectiveness of the improved PSO.

关 键 词：无功优化 多目标 粒子群算法 免疫算法 禁忌搜索算法 

分 类 号：TM712[电气工程—电力系统及自动化]