期刊文献+

提高双馈风电机组动态无功协调控制能力的实验研究 被引量:7

Experimental research on improving the dynamic reactive power coordinated control capability of doubly-fed induction wind turbine
下载PDF
导出
摘要 随着风电场规模不断增加,风电机组并网对电网的影响逐渐增大,故充分挖掘风电机组的无功电压调节能力和提高机组的无功响应速度对增强电力系统的电压稳定性具有重要作用。定量分析了蒙西电网某风电场单台双馈感应风力发电机(Doubly Fed Induction Generator,DFIG)的无功电压调节能力及限制因素,根据其单台机组的无功调节机理制定动态无功补偿协调控制策略。若系统无功需求超过DFIG无功出力极限时,在保证机组最大发电效益的基础上,提出基于无功差值的双馈感应风力发电机组有功附加控制。并且通过改进的遗传控制算法辨识得到附加控制器参数,该控制在降低机组最小出力的同时确保提高机组无功出力极限,进而满足系统无功需求。最后通过实验验证了所提出的双馈风电机组动态无功协调控制的可行性和准确性,增强了机组的电压稳定能力。 As the scale of wind farms continues to increase,the impact on the grid of wind turbines connected to the grid is gradually increasing.Therefore,fully exploiting the reactive power and voltage regulation capability of wind turbines and improving their reactive power response speed plays an important role in enhancing the voltage stability of the power system.This paper quantitatively analyzes the reactive voltage regulation capability and limiting factors of a single doubly-fed induction wind turbine in a wind farm in the West Mengxi Power Grid.It formulates a dynamic reactive power compensation coordinated control strategy based on the reactive power regulation mechanism of a single unit.If the system reactive power demand exceeds the DFIG reactive power output limit,on the basis of ensuring the maximum power generation benefit of the unit,an additional active power control based on the reactive power difference is proposed.In addition,the parameters of the additional controller are obtained through an improved genetic control algorithm identification.This control reduces the minimum output of the unit while ensuring the increase of the reactive power limit of the unit.This in turn meets the reactive power demand of the system.Finally,the experiment verifies the feasibility and accuracy of the proposed dynamic reactive power coordinated control of the doubly-fed wind turbines,and it enhances the voltage stability of the generators.
作者 崔森 颜湘武 李锐博 CUI Sen;YAN Xiangwu;LI Ruibo(Hebei Provincial Key Laboratory of Distributed Energy Storage and Microgrid(North China Electric Power University),Baoding 071003,China)
出处 《电力系统保护与控制》 EI CSCD 北大核心 2022年第8期117-129,共13页 Power System Protection and Control
基金 北京市自然科学基金项目资助(3212037)。
关键词 双馈风电机组 电压稳定 动态无功控制 改进遗传算法 doubly-fed wind turbine voltage stability dynamic reactive power control improved genetic algorithm
  • 相关文献

参考文献20

二级参考文献238

共引文献632

同被引文献188

引证文献7

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部