电网技术2013，Vol.37Issue(2)：477-481,5.
基于生物地理学优化算法的输电网络规划
Application of Biogeography-Based Optimization in Transmission Network Planning
摘要
Abstract
Along with the variation of living environment decided by rainfall, geological condition, climate and so on, biological species migrate among different habitats continually. The biogeography-based optimization (BBO) algorithm that is constructed according to the law of species migration is applied in the solution of transmission network planning. In view of the features of BBO that it possesses strong exploitation ability and weak exploration ability, the BBO algorithm is improved through the operation of seeking and removing repetitive suitability vectors. Taking an 18-bus power system as the case, the performance differences between searching ability of BBO algorithm and genetic algorithm under various mechanisms are compared and analyzed. Results of comparative analysis show that the BBO algorithm, to which the operation of seeking and removing repetitive suitability vectors is applied, can considers both exploitation ability and exploration ability simultaneously, and its optimization ability is comparable to genetic algorithm.关键词
输电网络规划/生物地理学优化算法/迁移模型/突变操作Key words
transmission network planning/ biogeography-based optimization (BBO)/ migration model/ mutation operation分类
信息技术与安全科学引用本文复制引用
李翔硕,王淳..基于生物地理学优化算法的输电网络规划[J].电网技术,2013,37(2):477-481,5.基金项目
国家自然科学基金资助项目(51167012). （51167012）
