基于免疫算法的多目标无功补偿规划  

Multi-objective Reactive Power Compensation Planning Based on Immune Algorithm

作　　者：熊虎岗[1] 程浩忠[1] 王佳贤[1] 葛长宏[1] 

机构地区：[1]上海交通大学电子信息与电气工程学院,上海200030

出　　处：《水电能源科学》2007年第2期103-105,共3页Water Resources and Power

基　　金：上海市重点科技攻关计划基金资助项目(04162012)

摘　　要：应用雅可比矩阵最小特征值的右特征向量强相关和系统网损灵敏度的方法对系统的节点排序,选择无功补偿的最佳节点。提出了应用免疫算法的多目标无功补偿规划的算法求取节点的最优补偿容量。通过对IEEE 30节点系统计算并与其他算法比较,结果表明采用该优化规划的算法能有效地降低网损、提高系统电压稳定裕度。This paper puts forward the multi-objective formulation of the VAR planning. In order to get the best solution, using the right eigenvector of the matrix minimum eigenvalue and the sensitivity of system power loss to choose the best nodes to compensate ,immune algorithm is used to calculate the optimum compensation capacity. In the course of solving,a new method for calculating the affinity is put forward. This algorithm is used in IEEE-30 buses system and the result indicates that the optimization algorithm not only can decrease the power loss but also can improve the system voltage stability margin.

关 键 词：无功补偿规划 最小特征值 右特征向量 网损灵敏度 免疫算法 亲和力计算 

分 类 号：TM715[电气工程—电力系统及自动化] TM712