免疫禁忌混合算法在电压稳定分析中的应用  

Voltage Stability Analysis Using Immune/Tabu Search Hybrid Algorithm

作　　者：唐忠[1] 蔡智慧[2] 许杏桃[3] 马士英[2] 

机构地区：[1]上海电力学院计算机与信息工程学院,上海200090 [2]长沙理工大学电气与信息工程学院,长沙410076 [3]泰州供电公司,泰州225309

出　　处：《电力系统及其自动化学报》2008年第4期67-71,124,共6页Proceedings of the CSU-EPSA

基　　金：上海市地方高校能力建设项目(071605125)

摘　　要：针对目前系统静态电压稳定裕度计算中所用优化算法不能较好地满足实时性的要求,提出一种基于免疫禁忌混合算法的静态电压稳定裕度计算的新方法。该方法将自适应免疫算法和禁忌搜索算法有机结合在一起,通过改进的连续潮流法,可快速而准确地获取系统最大静态电压稳定裕度,在一定程度上弥补了传统优化算法效率上的不足。通过对IEEE 30节点系统进行多次仿真计算,并与遗传禁忌混合算法、免疫算法的计算结果相比较,验证了该方法可行且有效。At present, the optimization algorithm used in system static voltage stability margin calculation can＇t meet the real-time requirements very well. For this reason, a new method of static voltage stability margin calculation based on immune/tabu search hybrid algorithm is proposed in this paper. This method combines adaptive immune algorithm and tabu search algorithm. Through improved continuation power flow, the maximum static voltage stability margin of system can be quickly and accurately achieved by the hybrid algorithm. To a certain extent, the proposed method has higher efficiency than traditional optimization algorithms. The performance of the hybrid algorithm is evaluated by simulations on IEEE 30-bus system. Comparing the simulation results with genetic/tabu search hybrid algorithm and immune algorithm show that the proposed method is feasible and effective.

关 键 词：静态电压稳定 连续潮流法 免疫算法 禁忌搜索算法 混合算法 

分 类 号：TM712[电气工程—电力系统及自动化]