基于卡尔曼滤波技术的大规模风电场无功补偿优化方法探究  

Research on Reactive Power Compensation Optimization Method of Large-Scale Wind Farm Based on Kalman Filter Technology

作　　者：东国森 崔世文 DONG Guosen;CUI Shiwen(Qinghai Branch,China Three Gorges Corporation,Xining,Qinghai Province,810000 China)

机构地区：[1]中国长江三峡集团有限公司青海分公司,青海西宁810000

出　　处：《科技资讯》2025年第4期208-210,共3页Science & Technology Information

摘　　要：风力发电机输出的不确定性和波动性可能会导致电功率因数下降等问题,影响电网的安全稳定运行,因此,提出基于卡尔曼滤波技术的大规模风电场无功补偿优化方法。基于风电场设备电气参数和实时运行状态,计算设备无功功率。利用卡尔曼滤波技术,构建风电场无功功率预测模型。制定风电场动态无功补偿优化策略,通过静止同步补偿器(Static Var Compensator,SVG)与静态无功补偿器(Fixed Capacitor,FC)的协同作用,实现无功补偿的精准实时调节,并配套应急响应机制,保障风电场稳定运行。结果表明,设计方法能够显著提升风电场的功率因数,使其在不同运行场景下均能够保持较高的水平。Since the output of wind turbines is uncertain and volatile,it may lead to problems such as the decrease of electric power factor,which affects the safe and stable operation of the power grid.Therefore,a reactive power compensation optimization method based on Kalman filter technology for large-scale wind farms is proposed.Based on the electrical parameters and real-time operating status of wind farm equipment,the reactive power of the equipment is calculated.The reactive power prediction model of the wind farm is constructed by using Kalman filter technology.The optimization strategy of dynamic reactive power compensation for wind farms is formulated,and the precise real-time adjustment of reactive power compensation is realized through the synergistic effect of SVG and FC,and the emergency response mechanism is equipped to ensure the stable operation of wind farms.The results show that the design method can significantly improve the power factor of wind farms,so that it can maintain a high level in different operating scenarios.

关 键 词：卡尔曼滤波 大规模风电场 无功补偿 动态无功调节 功率因数 

分 类 号：TM714.3[电气工程—电力系统及自动化]