电力系统保护与控制Issue(8)：1-7,7.
基于人工蜂群算法的多目标最优潮流问题的研究
Research on power flow optimization based on multi-objective artificial bee colony algorithm
刘前进 1许慧铭 1施超1
作者信息
- 1. 华南理工大学电力学院，广东 广州 510640
- 折叠
摘要
Abstract
Taking the minimum pollutant emission and active loss as objective functions, this paper builds a multi-objective optimization model for power flow optimization of power system. In the proposed algorithm, an external archive of non-dominated solutions is kept which is updated at each iteration. Moreover, a method based on fuzzy set theory is employed to extract one of the Pareto-optimal solutions set as the best compromise one to provide the scientific decision basis for decision-makers. Simulation of IEEE-30 bus system and IEEE-57 bus system testify that this algorithm can avoid the local convergence effectively compared with other multi-objective optimization algorithm.关键词
最优潮流/无功优化/人工蜂群算法/多目标/污染气体排放Key words
optimal power flow/reactive power optimization/artificial bee colony/multi-objective/pollutant emission分类
信息技术与安全科学引用本文复制引用
刘前进,许慧铭,施超..基于人工蜂群算法的多目标最优潮流问题的研究[J].电力系统保护与控制,2015,(8):1-7,7.
