基于概率潮流的含风电配电网无功优化  

Reactive Power Optimization in Distribution Network with Wind Power Based on Probabilistic Power Flow

作　　者：陈光宇[1] 丁晓群[1] 边二曼[2] 

机构地区：[1]河海大学能源与电气学院,江苏南京211100 [2]国网黑龙江省电力有限公司发展策划部,黑龙江哈尔滨150090

出　　处：《水电能源科学》2016年第10期212-216,共5页Water Resources and Power

基　　金：国家电网公司科技项目(521330135090)

摘　　要：考虑风电输出功率和负荷功率的随机波动性,建立了风电和负荷的随机模型。采用卷积计算和Cornish-Fisher级数展开来处理随机性因素,从而完成概率潮流计算;并建立以降低成本-效益比值和电压稳定指标L为目标的综合无功优化模型,基于概率潮流和多Agent系统的混沌粒子群算法(MACPSO)对该配电网进行无功优化。IEEE 33节点算例分析表明,所提无功优化求解策略有效可行,同时所提算法在无功优化中具有一定优势。Considering the stochastic and intermittent nature of wind power and load,the probabilistic models are established.In order to complete probabilistic power flow calculation,convolution computation and Cornish-Fisher series expansions are applied to deal with the stochastic factors.A comprehensive model of reactive power optimization is established in order to reduce the cost-benefit ratio and lower the voltage stability index（L）.An optimal reactive power planning scheme is attained based on probabilistic power flow and chaotic particle swarm optimization algorithm based on multi-agent system.Simulation of IEEE 33-bus system shows the effectiveness and feasibility of the proposed strategy for reactive power optimization.In addition,the proposed algorithm has some advantages in reactive power optimization.

关 键 词：风电配电网 负荷 概率潮流 MACPSO 无功优化 

分 类 号：TM761[电气工程—电力系统及自动化]