电力系统及其自动化学报2016，Vol.28Issue(9)：56-62,7.DOI:10.3969/j.issn.1003-8930.2016.09.009
带连通性约束的蚁群优化算法主动解列断面求解策略
Controlled Splitting Surface Searching Strategy Based on Ant Colony Optimization Algorithm Under Connectivity Constraints
摘要
Abstract
Traditional controlled splitting strategies face two problems:one is high complexity of the solution process, the other is that there may exist isolated generator nodes during the process without considering connectivity. Therefore, an improved ant colony optimization algorithm is proposed in this paper. Firstly,a mathematic model of controlled split⁃ting surface searching is established. Then,the above model is mapped to ant colony optimization algorithm with single objective function and multiple constraints. Finally,based on the connectivity constraint,the optimal controlled island⁃ing surface can be obtained. Simulation results of IEEE 118-node system and a certain power grid verify the effective⁃ness and rapidity of the proposed method.关键词
主动解列/连通性约束/蚁群算法/非确定多项式问题/断面搜索Key words
controlled splitting/connectivity constraint/ant colony algorithm/non-deterministic polynomial problem/surface searching分类
信息技术与安全科学引用本文复制引用
王乙斐,唐飞,廖清芬,王浩磊,杨健..带连通性约束的蚁群优化算法主动解列断面求解策略[J].电力系统及其自动化学报,2016,28(9):56-62,7.基金项目
博士后科学基金资助项目（2014M552080）；国家电网公司大电网重大专项资助项目 （）
