摘要
针对风电场有功损耗和节点电压易受无功功率影响,及利用当前信息进行控制而导致风机无功补偿不充分和无功越限的问题,提出了一种风电场无功优化控制策略。该策略首先进行风电功率预测,实时求解风电机组无功动态容量评估;然后,通过参考电压和实测电压求得风电场无功需求;最后,提出一种考虑风电场内有功损耗最小的风电机组无功分配方法,采用改进粒子群优化算法,对所构造的无功优化模型进行求解,实现对各个风机无功出力进行合理分配。通过模型对所提方法进行验证,结果表明风电场在满足无功需求指令的同时,能够减小系统的有功损耗,改善节点电压质量。
A wind farm reactive power optimization control strategy is proposed to address the problems of wind farm active power loss and nodal voltage being easily affected by reactive power and the use of current information for control resulting in inadequate wind turbine reactive power compensation and reactive power crossing limits.The strategy first makes wind power prediction and solves the reactive power dynamic capacity assessment of wind turbines in real time;then,the reactive power demand of wind farms is obtained by reference voltage and measured voltage;finally,a reactive power allocation method of wind turbines is proposed considering the minimum active power loss in wind farms,and the constructed reactive power optimization model is solved by improved particle swarm optimization algorithm to realize reasonable reactive power output of each wind turbine.The proposed method is validated by the model.The proposed method is validated by the model,and the results show that the wind farm can reduce the active power loss of the system and improve the node voltage quality while meeting the reactive power demand command.
作者
李泽宽
张飞
任晓颖
LI Zekuan;ZHANG Fei;REN Xiaoying(School of Information Engineering,Inner Mongolia University of Science and Technology,Baotou 014000,China)
出处
《电气应用》
2023年第5期9-16,共8页
Electrotechnical Application
关键词
风电场
无功优化
粒子群优化算法
双馈风机
wind farm
reactive power optimization
particle swarm optimization algorithm
double-fed wind turbine
