计及电压崩溃风险的风电并网系统多目标无功优化  

Multi-objective Reactive Power Optimization in Wind Power Integrated System Considering the Risk of Voltage Collapse

作　　者：夏天[1] 杨京燕[1] 杨嫒媛 张曰强[1] 

机构地区：[1]华北电力大学电气与电子工程学院,北京102206

出　　处：《陕西电力》2012年第7期8-13,共6页Shanxi Electric Power

基　　金：国家自然科学基金(51007022)

摘　　要：针对风电出力的随机性及电压崩溃给电力系统带来的影响,分析了风机在潮流计算中的处理方法,以系统网损最小和电压崩溃风险最小为目标函数,建立了含风电场的电力系统多目标无功优化模型。首先采用改进差分进化算法对该模型进行求解,得到Pareto最优集;再利用基于熵权的逼近理想解的排序方法对由Pareto最优集构成的决策矩阵进行多属性决策,挑选出最后的折中解,为决策者做出选择提供指导。最后,以含风电场的IEEE24节点系统为例,验证了模型及算法的有效性。In view of the impact on power system brought by the randomness of wind power and voltage collapse,the processing method of wind turbines in power flow calculation is analyzed,and set the minimum of the network loss and the risk of voltage collapse as the objective function,the multi-objective reactive power optimization model in power system containing wind farms is established.By applying an improved differential evolution algorithm to this model,the Pareto optimal set is obtained.Then,TOPSIS method based on entropy weight is used to implement a multi-attribute decision making on the decision matrix composed by the Pareto optimal set,and a compromised solution is chosen to provide guidance for decision makers.The validity of the model and the algorithm is verified on IEEE 24-bus system with a wind farm.

关 键 词：风力发电 无功优化 电压崩溃 差分进化算法 TOPSIS 

分 类 号：TM74[电气工程—电力系统及自动化]