摘要
提出了基于新型多目标粒子群算法的无功优化方法。将控制设备动作次数约束转化为目标函数,并对转化后的多目标优化问题设计了适应度函数,较好地解决了变量离散化与控制设备动作次数限制之间的配合问题。经算例验证,优化后有功网损下降了15.1%,且优化前的环流、变压器过载等问题得到了解决。
A rcactive power optimization method based on new multi-objective particle swarm algorithm is presented. In this method, action number constraint of control devices is converted into objective function, and the fitness function for the transformed multi-objective optimization problem is designed, which solves the coordination between discretization of variables and action number restriction of control devices. Case study shows that the active network loss after the optimization decreases by 15. 1% ; such problems as circular current and overload of transformer before the optimization are solved.
出处
《广东电力》
2009年第12期12-15,共4页
Guangdong Electric Power
关键词
动态无功优化
多目标
粒子群算法
动作次数约束
dynamic reactive power optimization
multi-objective
particle swarm algorithm
action number constraint
