摘要
选择系统有功网损作为目标函数,同时考虑满足电压水平和电压稳定性两个约束条件来探讨无功优化问题.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.将该算法应用于计及静态电压稳定的电力系统无功优化问题,并对IEEE14节点系统进行了仿真计算,计算结果验证了算法的有效性.
The cost of active-power loss of an electric power network is selected as the objective function. The two sets of constraints concerning voltage profile and voltage stability are simultaneously considered to investigate reactive-power optimization problem. A mutative scale chaos optimization algorithm （MSCOA） is introduced. By continually reducing the searching space of variables optimized and enhancing the searching precision, the algorithm is of high efficiency. MSCOA is applied to reactive power optimization of power system incorporating steady state voltage stability constraints and its effectiveness is validated by the simulation result of IEEE 14-bus system.
出处
《南京工程学院学报（自然科学版）》
2006年第3期40-46,共7页
Journal of Nanjing Institute of Technology(Natural Science Edition)
基金
南京工程学院科研基金项目(KXJ04061(A))
关键词
电力系统
静态电压稳定
无功优化
变尺度混沌优化
power system
steady voltage stability
reactive power optimization
mutative scale chaos optimization algorithm
