摘要
针对应用传统排挤小生境遗传算法进行无功规划时,小生境数目设定值的不同会导致寻优结果波动性较大的情况,将聚类分析和排挤小生境遗传算法相结合应用于配电网无功规划。建立了以收益净现值为目标函数的数学模型,该模型更直观地反映了补偿方案的降损节能收益能力;利用聚类排挤小生境遗传算法对配电网进行无功规划,通过调整聚类距离控制收敛到的小生境数目,提高了算法的全局寻优能力和解的稳定性;采用面向对象的Visual 2005C#高级语言开发编制了配电网无功规划计算程序。实例分析表明所提算法收敛速度快,全局寻优能力强,计算结果稳定高,具有更高的实用性。
Regarding to the defects that different setting values of niche numbers will result in large fluctuation of optimal searching results when traditional crowding niche genetic algorithm is applied to the reactive power planning of distribution network,the clustering crowding niche genetic algorithm is put forward.A mathematical model is proposed with the objective function of maximum net benefit in present value,and the model shows the benefit of power loss reduction vividly.The clustering and crowding niche genetic algorithm is combined to the reactive power planning of distribution network,through controlling the niche numbers converged via adjusting clustering distance,it enhances the ability of global optimization and the stability of results.The program for reactive power planning calculation is developed by Visual 2005C#,and the test results show that the method not only has strong convergence,rapid global optimization speed,and high stability of results,but also has higher availability.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2011年第5期27-30,共4页
Power System Protection and Control
基金
国家863高技术基金项目(2008AA05Z216)
保定市科学技术研究与发展指导计划项目(10ZG001)
关键词
无功规划
配电网
聚类排挤小生境遗传算法
收益净现值
reactive power planning
distribution network
clustering crowding niche genetic algorithm
net present value
