考虑模糊多目标优化的风电场无功电压分区控制  

Zonal Control of Reactive Power and Voltage in Wind Farms Considering Fuzzy Multi-objective Optimization

作　　者：王玮[1] 杨健 任国瑞 任鑫 王华 WANG Wei;YANG Jian;REN Guorui;REN Xin;WANG Hua(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China;Huaneng Clean Energy Research Institute Co.,Ltd.,Beijing 102209,China)

机构地区：[1]华北电力大学控制与计算机工程学院,北京102206 [2]中国华能集团清洁能源技术研究院有限公司,北京102209

出　　处：《动力工程学报》2024年第1期99-108,共10页Journal of Chinese Society of Power Engineering

基　　金：国家自然科学基金资助项目(52107091)。

摘　　要：为提升双馈风电场的无功功率补偿和电压稳定能力,提出了一种考虑模糊多目标优化的风电场无功电压分区控制方法。基于有功功率数据对风电场进行分区降维,并计算获得了各分区的无功优化限值;定义了分区无功裕度指标用以描述风电场电压运行的安全裕度,综合考虑运行安全性和稳定性,建立了风电场无功电压的模糊多目标优化模型;提出了一种可大范围全局快速寻优的自适应遗传禁忌算法,通过重新定义交叉与变异概率提升了寻优的全局时效性,通过引入禁忌算法改善了寻优准确性。最后,以某双馈风电场为例进行了仿真验证。结果表明:所提方法能够为风电场预留充足的无功裕度,显著降低系统内部的电压波动。To improve the reactive power compensation and voltage stability of doubly-fed wind farms,a zonal control method of reactive power and voltage in wind farms considering fuzzy multi-objective optimization was proposed.Based on the active power data,the wind farm was partitioned and dimensionality was reduced,and the reactive power optimization limits for each zone were calculated.The zonal reactive power margin index was defined to describe the safety margin of wind farm voltage operation.Taking into account both operation safety and stability,a fuzzy multi-objective optimization model for wind farm reactive power voltage was established.A self-adaptive genetic taboo algorithm that can quickly and globally optimize on a large scale has been proposed.the global timeliness of optimization was improved by redefining the crossover and mutation,and the accuracy of optimization was improved by introducing taboo algorithm.Finally,simulation verification was conducted using a doubly fed wind farm as an example.Results show that the proposed method can reserve sufficient reactive power margin for wind farms and significantly reduce voltage fluctuations within the system.

关 键 词：风电场 无功电压 分区控制 多目标 自适应遗传禁忌算法 

分 类 号：TM614[电气工程—电力系统及自动化]