摘要
本将GSA应用于求解电力系统的无功优化问题,发现其寻优速度快,数值稳定性好,可以灵活处理离散变量和连续变量。算例仿真结果表明,GSA在求解RPO问题时寻优速度和数值稳定性均优于PSO。
This paper applied GSA to solve the reactive power optimization problem in power system. GSA had high optimum speed, good numerical stability and flexibility in dealing with discrete variable and continuous variable. The simulation result showed that optimum speed and numerical stability of GSA was superior to which of PSO in solving RPO problems.
出处
《贵州电力技术》
2014年第8期71-74,33,共5页
Guizhou Electric Power Technology
关键词
输电网
无功优化
网损
牛顿引力定律
引力搜索算法
transmission network
reactive power optimization
power losses
Newton law of gravitation
gravitational search algorithm
