摘要
在传统无功优化模型的基础上,引入了静态电压稳定性指标,建立了综合考虑系统有功网损最小、静态电压稳定裕度最大和电压水平最好的多目标无功优化模型.将基于Pareto最优概念的改进多目标粒子群算法应用到多目标无功优化的求解中,对IEEE30节点系统进行了仿真计算.优化结果表明,该模型在实现系统经济运行的同时也增强了电网的电压稳定,同时求得的一组最优解能够为优化方法的决策提供更多的有效参考,具有实际意义.
Based on the traditional model of reactive power optimization, index of static voltage stability is introduced and a model of multiobjective reactive power optimization is established, where the active power loss minimization, static voltage stability margin maximization and high voltage quality are taken into account, and improved multiobjective particle swarm optimization algorithm based on Pareto conception is chosen to solve multiobjective reactive power optimization problem for IEEE 30 bus system. The simulated results show that the model is able to heighten power system voltage stability during the economical operation, and validity of the established model and effectiveness of the proposed algorithm are verified.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2008年第2期213-217,共5页
Journal of Xi'an Jiaotong University
关键词
无功优化
粒子群算法
多目标优化
reactive power optimization
particle swarm optimization algorithm
multiobjective optimization
