摘要
为了提高求解电力系统无功优化问题的计算速度,提高得到全局最优解的概率,保证电力系统的安全、经济、稳定运行,论文对模拟植物生长算法进行了改进并应用于求解无功优化问题;提出了最佳生长点集规模和变步长的寻优策略,调整了无功优化的约束条件和变量类型。理论分析与IEEE30节点系统的计算分析结果均表明该研究方法求解系统无功优化问题,对系统参数要求更宽松,计算速度更快,寻优能力更强。
In order to increase the computation speed and to make it more possible to get globally optimal solution in power system reactive power optimization, and in order to ensure the system to operate securely, economically and steadily, the plant growth simulation algorithm （PGSA） was modified and used it to deal with the problem of reactive power optimization. Moreover, we put forward the strategy of optimal number of growing points aggregate and the flexible searching step size, and adjusted the constraint conditions and variable type of reactive power optimiza tion. The theory analysis and result of calculation for IEEE 30-bus system show that using modified plant growing simulation algorithm to solve the problem can optimize the condition of power parameters, and make faster calculation, and stronger optimization competence.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2009年第3期694-698,共5页
High Voltage Engineering
基金
河南省教育厅自然科学基金(2009A470008)~~
关键词
电力系统
无功优化
改进模拟植物生长算法
生长点
步长
计算速度
全局最优解
power system
reactive power optimization
modified plant growth simulation algorithm
growing point
step size
computed speed
globally optimal solution
