基于混合优化微分进化算法的电力系统无功优化  

A hybrid optimization based on DE for optimal reactive power flow

作　　者：李秀卿[1] 孙守刚[1] 姜世金 许传伟 

机构地区：[1]东北电力大学电气工程学院,吉林吉林132012 [2]鸡西供电公司,黑龙江鸡西158100

出　　处：《电力系统保护与控制》2009年第7期26-29,39,共5页Power System Protection and Control

摘　　要：阐述了一种基于混合优化微分进化算法的无功优化方法。混合优化微分进化算法是一种直接随机搜索方法,由在当前种群中随机采样的个体之间的基因差异来驱动,混合优化微分进化算法的主要思想是采用不同的策略产生变异算子,并在进化过程中采取父代和子代合群处理,来提高进化速度。将该无功优化方法在IEEE 30节点系统上进行了校验,并与基于其它算法的无功优化方法进行比较,仿真结果表明该算法具有收敛速度快、鲁棒性好、计算精度高的优点。In this paper, a differential evolutionary algorithm based on hybrid optimization of reactive power optimization methods is proposed. Hybrid optimization differential evolutionary （HODE） algorithm is a direct random search method, which is driven by genetic difference among the stochastically sampled individuals in current population. The main idea of this method adopts different strategy for mutation operator, and incorporates the two generations to enhance evolutionary speed. The proposed reactive power optimization method is validated by IEEE 30-bus system and the obtained results are compared with those by other algorithms. Simulation results show that the proposed method possesses following advantages of good convergence performance, good robustness and high calculation accuracy.

关 键 词：微分进化 无功优化 电力系统 混合优化 智能优化 

分 类 号：TM714[电气工程—电力系统及自动化]