摘要
选择无功设备投资和系统有功网损的综合费用最小作为目标函数,同时考虑满足电压水平来探讨无功规划优化问题。无功优化前,首先用模态分析法确定系统的薄弱节点作为候选补偿点,用电压越限筛选确定最大补偿容量,然后用无功优化模型决定候选补偿点应加装的无功补偿容量。介绍了变尺度混沌优化算法,该算法不断缩小优化变量的搜索空间并不断提高搜索精度,从而有较高的搜索效率。IEEE14节点系统的仿真计算验证了算法的有效性,算法对初值的敏感性也进行了探讨。
The cost that integrates investment of reactive equipments with active-power loss of electric power network is selected as objective function. The constraint concerning voltage profile is considered to investigate reactive-power planning problem. Compensation bus is selected firstly by modal analysis method and then maximum size of compensation capacitors is determined by voltage selection, the real size of compensation capacitors is determined by reactive power optimization model lastly. A mutative scale chaos optimization algorithm（MSCOA） is introduced. By continually reducing the searching space of variable optimized and enhancing the searching precision, the algorithm is of high efficiency. MSCOA is applied to reactive power planning of power system incorporating steady state voltage stability constraints and its effectiveness is validated by the simulation result of IEEE 14-bus system. Initial value cannot affect the convergency of MSCOW, and results of optimization almost keep same.
出处
《继电器》
CSCD
北大核心
2007年第2期33-39,共7页
Relay
关键词
电力系统
无功规划
模态分析
变尺度混沌优化算法
power system
reactive power planning
modal analysis
mutative scale chaos optimization algorithm
