摘要
在对进化规划方法进行深入研究的基础上,针对其在求解大规模无功优化问题时,存在的计算过程长、难以满足约束条件的问题,结合系统电压无功调节的专家经验,提出了一种新的变异算法,以对常规进化规划方法的随机变异操作进行本质上的改善。实际算例结果表明,该方法具有计算速度快、搜索效率高、实用性强的突出优点。
In solving large scale reactive power optimization problems, evolutionary programming(EP) has some disadvantages which the search time is too long and constraints are satisfied hardly. For overcoming these shortages, a new mutation algorithm is proposed combining with expert抯 experience of voltage and reactive power adjustment, so mutation operations of EP is improved in nature. The efficiency of the method in this paper is illustrated by the optimal result of actual power systems.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2003年第7期76-80,共5页
Proceedings of the CSEE
