摘要
提出一种求解电压稳定裕度的新算法——免疫算法。该算法模仿人体的免疫系统,将搜索空间的解作为抗体,依据抗原与抗体的亲和性以及抗体之间的亲和性对解进行评价和选择,由于具有多样性记忆单元的存在,有效地克服了确定性算法中解易陷入局部极值的缺点,能快速搜索到全局最优解,并求得电压稳定裕度的最大值。应用该算法对IEEE14节点和IEEE57节点系统进行仿真计算,获得了较原-对偶内点算法至少增加10%的稳定裕度。
In this paper, immune algorithm is applied to the voltage stability margin calculation. The algorithm simulates the immune system of human. The solution serves as antibody which is assessed and selected according to the affinity between antigens and antibodies. As the existing of the diverse memory cells, the algorithm can avoid the influence of local extreme value and can find the global optimum quickly. Thus, the voltage stability margin is given. Tests on IEEE 14-bus and 57-bus systems are performed, and satisfactory results are obtained which has a 10%larger margin than that by primal-dual interior point algorithm.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2007年第1期79-82,91,共5页
Proceedings of the CSU-EPSA
关键词
电压稳定裕度
免疫算法
静态电压稳定
voltage stability margin
immune algorithm(IA)
static voltage stability