基于改进微分进化算法的电力系统无功优化Power System Reactive Power Optimization Based on Improved Differential Evolution Algorithm
刘自发;闫景信;张建华;黄伟;杨京燕;
摘要(Abstract):
提出了一种改进的微分进化算法求解电力系统无功优化问题。在进化过程中,该算法根据进化情况采用动态参数调整机制提高算法的搜索效率,并且对种群重叠状况进行实时监视,对重叠个体利用混沌搜索策略来进一步提高算法的全局寻优能力。通过对IEEE 6、IEEE 30、IEEE 118标准测试系统及某地区实际系统的无功优化问题计算及结果分析表明,文中提出的改进微分进化算法高效、且全局寻优能力强。
关键词(KeyWords): 微分进化;无功优化;混沌;智能优化
基金项目(Foundation):
作者(Author): 刘自发;闫景信;张建华;黄伟;杨京燕;
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DOI:
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