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.
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)
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
wind power
doubly fed induction generator
reactive power pricing
non-dominated sorting
chaotic parallel interactivehoney bee mating optimization algorithm
multi-objective reactive power optimization
