摘要
针对常规遗传算法(GA)的不足,提出了一种改进搜索策略的遗传算法,采取了以下改进措施:在遗传迭代中,根据种群进化过程的个体的适应值大小,对群体进行分级,对级别高的个体进行小范围的搜索,对级别低的个体在大范围内进行搜索,保证群体的多样性的同时,又留住了优良个体。将改进的遗传算法应用于电力系统无功优化,并与常规遗传算法进行了比较,结果表明改进算法在计算速度、收敛性和全局最优搜索能力都有提高。
Aiming at the shortage of general genetic algorithm, a modified genetic algorithm is proposed in this paper. The modified step is： Colony is graded according to individual adaptive value of every generation; the different search strategy is used to different level individual, so, guarantee individual diversity and leave on choiceness individual. The proposed method is applied to the reactive power optimization of power system and compared with the general genetic algorithm, The results from calculation examples showed that the modified method improved ealeulation speed and astringency and entire optimum search ability.
出处
《水力发电》
北大核心
2007年第7期53-55,共3页
Water Power
基金
国家自然科学基金(50667002)
关键词
无功优化
遗传算法
改进搜索策略
reaetive power optimization
GA
improved search strategy
