电网技术2012，Vol.36Issue(9)：115-119,5.
基于改进差分进化-生物地理学优化算法的最优潮流问题
Optimal Power Flow on Basis of Combining Improved Differential Evolution Algorithm With Biogeography-Based Optimization Algorithm
摘要
Abstract
Biogeography-based optimization (BBO) is a newly proposed global intelligent optimization algorithm, however there are defects of early-maturing and instable convergence when it is used to the calculation of optimal power flow. Combining BBO with differential evolution (DE) and making small modifications for the mutation strategy of DE, an improved DE-BBO algorithm is formed. Applying the improved DE-BBO algorithm, the active power optimization of IEEE 30-bus system is performed, and the obtained results are compared with the results by GA algorithm, PSO algorithm, only using BBO algorithm and only using DE algorithm respectively, comparison result shows that the proposed improved DE-BBO algorithm possesses good and stable convergence and the time for iteration can be reduced effectively.关键词
电力系统/生物地理学优化算法/差分进化算法/差分变异策略/DE-BBO算法Key words
power system/ biogeography-based optimization/ differential evolution algorithm/ differential mutation strategy/ DE -BBO algorithm分类
信息技术与安全科学引用本文复制引用
李静文,赵晋泉,张勇..基于改进差分进化-生物地理学优化算法的最优潮流问题[J].电网技术,2012,36(9):115-119,5.基金项目
国家自然科学基金资助项目(51077042). （51077042）
