电力市场下含风电的电网多目标无功优化  

Multi-objective Reactive Power Optimization of Power Grid with Wind Power in Electricity Market

作　　者：何健[1] 范晓龙 许高俊 陈光宇[4] 张杭 

机构地区：[1]国网河北省电力公司检修分公司,河北石家庄050070 [2]国网内蒙古东部电力有限公司经济技术研究院,内蒙古呼和浩特010020 [3]国网江苏省电力公司电力科学研究院,江苏南京211103 [4]河海大学能源与电气学院,江苏南京211100 [5]国网江苏省电力公司泰州供电公司,江苏泰州225300

出　　处：《陕西电力》2017年第1期11-16,62,共7页Shanxi Electric Power

基　　金：国家高技术研究发展计划项目资助(863计划)(2013AA050601)

摘　　要：从电力市场角度出发,根据双馈风电机组(DFIG)的输出功率运行分区进行无功定价。建立以系统经济指标、电压偏移和电压稳定L指标为目标函数的多目标无功优化模型。提出了一种交互式蜜蜂交配优化算法对其进行求解。在算法的寻优机制中嵌入非劣排序和拥挤距离排序进行选择操作,使其收敛到Pareto前沿,并保证了非劣解的均匀分布。利用IEEE 30节点系统进行算例分析,并与其他算法进行对比,结果验证了所提算法的可行性、有效性及优越性。From the viewpoint of electricity market, reactive power pricing is determined according to the operating zones of output power of doubly fed induction generator. Multiple-objective reactive power optimization model is established, which is related to the economic indicator of power system, voltage deviation and voltage stability L-index. The chaotic parallel interactive honey bee mating optimization （CPIHBMO） algorithm is proposed to solve the multi-objective reactive power optimization problem. The non-dominated sorting and crowded distance sorting is embedded into the searching mechanism of CPIHBMO to implement the selection operation. As a result, it can converge to the Pareto front rapidly and ensure the uniform distribution of Pareto non-inferior solution. By comparing with other algorithms, the feasibility, effectiveness and superiority of the proposed algorithm is verified by the simulation results of IEEE 30-bus system.

关 键 词：风电 双馈风电机组 无功定价 非劣排序 交互式蜜蜂交配优化算法 多目标无功优化 

分 类 号：TM761[电气工程—电力系统及自动化]