电力科学与技术学报2024,Vol.39Issue(3) :142-149.DOI:10.19781/j.issn.1673-9140.2024.03.016

基于双补偿下垂—MQPR的直驱式风电机组并网控制

Grid-connected control of direct-driven permanent magnet wind turbine based on dual compensation droop and multiple quasi-proportional-resonances

李慧 李珠林 刘思嘉 范新桥 祁鲲
电力科学与技术学报2024,Vol.39Issue(3) :142-149.DOI:10.19781/j.issn.1673-9140.2024.03.016

基于双补偿下垂—MQPR的直驱式风电机组并网控制

Grid-connected control of direct-driven permanent magnet wind turbine based on dual compensation droop and multiple quasi-proportional-resonances

李慧 1李珠林 1刘思嘉 1范新桥 1祁鲲1
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作者信息

  • 1. 北京信息科技大学自动化学院,北京 100192
  • 折叠

摘要

为了实现直驱式永磁风力发电系统安全稳定并网,提出一种基于双补偿下垂与多重准比例谐振(multiple quasi proportional resonance,MQPR)相结合的并网控制策略.该策略源于传统下垂控制,在电压控制环节引入直流电压补偿量,能快速调节直流母线电压达到稳定;在电流控制环节引入电容电流补偿量,能有效减小滤波电容造成的电流误差影响;同时,设计出MQPR控制器替代内环电流的PI控制器,可以滤除系统中多次谐波电流.通过建立仿真模型,与双闭环PI和传统下垂控制策略进行对比,验证所提控制策略的有效性.

Abstract

To achieve safe and stable grid connection of the direct-driven permanent magnet wind power generation system,a grid-connection control strategy combining dual compensation droop with multiple quasi-proportional-resonances (MQPR) is proposed. This strategy originates from traditional droop control,introduces DC voltage compensation in the voltage control loop to quickly adjust and stabilize the DC bus voltage,and introduces capacitive current compensation in the current control loop to effectively reduce the impact of current errors caused by filter capacitors. Meanwhile,a MQPR controller is designed to replace the PI controller of the inner-loop current,which can filter out multiple harmonic currents in the system. By establishing a simulation model and comparing it with the double closed-loop PI and traditional droop control strategies,the effectiveness of the proposed control strategy is verified.

关键词

风力发电/下垂控制/电压补偿/电流补偿/多重准比例谐振控制

Key words

wind power generation/droop control/voltage compensation/current compensation/multiple quasi proportional resonances control

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基金项目

北京市自然科学基金(3232045)

出版年

2024
电力科学与技术学报
长沙理工大学

电力科学与技术学报

CSTPCDCSCD北大核心
影响因子:0.85
ISSN:1673-9140
参考文献量24
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