摘要
电力系统无功优化是一个多目标优化问题,在传统无功优化模型的基础上,建立了以有功网损最小和无功补偿成本最少为目标函数的多目标无功优化仿真模型。采用MOEAD算法求解多目标无功优化模型。仿真结果表明,采用MOEAD算法求解多目标无功优化问题,能够有效降低有功网损,减少无功补偿成本,而且计算速度快、计算性能好。
Reactive power optimization is a multi-objective problem .The muhi-objective reactive power optimization simulation model is built with the target function of minimum active power losses ＆ minimum reactive power compensation costs. MOEAD （Muhi-objective Evolutionary Algorithm Based on Decomposition） is used to solve muhi-objective reactive optimal model. The simulation results prove that the multi-objective reactive power optimization based on MOEAD can reduce the system active power losses and reactive power compensation costs effectively with fast speed and good calculation performance.
出处
《陕西电力》
2013年第3期27-31,共5页
Shanxi Electric Power
关键词
MOEAD
无功优化
电力系统
多目标优化
MOEAD
reactive power optimization
power system
multi-objective optimization
