【摘要】 遗传算法是一种基于自然选择规律的优化方法。文章针对电力系统长期存在的无功优化问题,提出了基于遗传算法的无功优化规划算法。该方法弥补了以往无功补偿规划没有考虑系统最小负荷方式和事故情况下无功补偿要求、以及不同年份下由于负荷变化对补偿有不同要求的缺陷。计算结果表明该算法合理、有效。更多还原

【Abstract】 The genetic algorithm is an optimization method based on the concept of natural selection.Aiming at the long-term problem of reactive power optimization planning in power system,an algorithm of reactive power optimization planning based on genetic algorithm was presented,which remedied the defects such as no considering the demands of reactive power compensation under system’s minimum load mode and fault condition as well as the different demands of reactive power compensation because of load change at different years.The result showed that the algorithm is reasonable and effective.更多还原