摘要
针对遗传算法(SGA)在电力系统无功优化中存在早熟收敛和后期收敛速度慢的弱点,提出了基于小生境遗传算法的无功补偿优化方法,可在短时间内以极大概率值寻找全网最优补偿配置实现最优补偿.通过对含有14个节点的IEEE 14系统进行模拟分析,结果验证了该算法的有效性,显著提高了无功优化的收敛速度。
Aimed at dvercoming the weakness of using SGA to solve reactive power optimization in power system, a new reactive power optimization method based on niche genetic algorithm is proposed in this paper. The optimal allocation of compensation in whole system to achieve optimal compensation can be found in very short time by use of proposed method. Through the simulation analysis applied to a 14--mode system IEEE14. The correctness of the proposed algorithm is verified,and the convergence spead of reactive power optimization is significantly ncreased.
出处
《水电能源科学》
北大核心
2009年第1期197-199,共3页
Water Resources and Power
关键词
小生境
遗传算法
电力系统
无功优化
模拟退火
niche
GA
power system
reactive power optimization
simulated annealing
