摘要
无功优化的算法很多,但影响无功优化算法实际运行时的收敛性有两个因素:一是在优化问题可行域为空时,算法是否对不可行情况进行探测和处理;二是在求解非线性的无功优化问题时,是否对模型的准确性进行限定。首先,介绍了评价和选择一个无功优化算法的原则(问题规模、算法鲁棒性、无解的处理、控制变量的调节数目)后,阐述了应用线性同伦内点法和信赖域方法解决上述问题。选择IEEE-30节点系统为试验系统,对测试系统的计算结果表明,所提算法是可行的。
s:There are two factors,which affect the convergency of reactive power optimization algorithm. One is that whether detection and processing are performed for infeasible situations when the feasible domain of optimization is empty. The other is that whether the accuracy of model is defined when the nonlinear reactive power optimization is carried out . The rules to evaluate and se-lect a reactive power optimization algorithm are introduced,including the size,robustness,no-solution treatment,regulation of control variable amount,and the linear homogenous interior-point method and trust-region method are applied in reactive power optimization. A 30-bus system of IEEE is calculated as an example and the results verify their feasibility.
出处
《电力自动化设备》
EI
CSCD
北大核心
2005年第2期89-93,共5页
Electric Power Automation Equipment
关键词
无功优化
收敛性
线性同伦内点法
信赖域方法
reactive power optimization
convergency
linear homogenous interior-point method
trust-region method
