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基于虚拟惯量的风电场黑启动频率协同控制策略

汤奕 戴剑丰 冯祎鑫 王琦 徐钢 杜先波

电力系统自动化2017,Vol.41Issue(3):19-24,32,7.
电力系统自动化2017,Vol.41Issue(3):19-24,32,7.DOI:10.7500/AEPS20160421004

基于虚拟惯量的风电场黑启动频率协同控制策略

Cooperative Frequency Control Strategy for Wind Farm Black-start Based on Virtual Inertia

汤奕 1戴剑丰 1冯祎鑫 2王琦 1徐钢 3杜先波3

作者信息

  • 1. 东南大学电气工程学院,江苏省南京市210096
  • 2. 国网福建省电力有限公司厦门供电公司,福建省厦门市361004
  • 3. 江苏方天电力技术有限公司,江苏省南京市211102
  • 折叠

摘要

Abstract

In a power grid lacking conventional power sources for black start,adopting wind farm as a black-start power source is a meaningful effort.The lack of frequency support caused by the decoupling of wind turbine speed from the main system frequency can be avoided in the virtual inertia control mode,thus the frequency stability can be efficiently enhanced.A new cooperative frequency control strategy is introduced based on the adaptability analysis of conventional virtual inertia strategies in the black start scenario.Firstly,based on a practical project,a back start method for wind farms is proposed by adopting diesel generator as a matched support power supply with small capacity,and the main problems and process of wind farm black start are analyzed.Secondly,through the flexible switching of additional power loop control and tracking curve switching control at different start stages,and supplemented by regulating frequency response strategy involved pitch angle,a cooperative frequency control strategy based on the virtual inertia theory is proposed.Finally,the results of the simulation using PSCAD show the rationality and advantage of the proposed strategy.

关键词

风电场/黑启动/虚拟惯量/协同控制/频率稳定性

Key words

wind farm/black-start/virtual inertia/cooperative control/frequency stability

引用本文复制引用

汤奕,戴剑丰,冯祎鑫,王琦,徐钢,杜先波..基于虚拟惯量的风电场黑启动频率协同控制策略[J].电力系统自动化,2017,41(3):19-24,32,7.

基金项目

国家自然科学基金资助项目(51577030) (51577030)

江苏省科技计划项目(BY2016076-03).感谢江苏省电力公司科技项目(5210011402GT)对本文的资助.This work is supported by National Natural Science Foundation of China (No.51577030) and Science and Technology Project of Jiangsu Province (No.BY2016076-03). (BY2016076-03)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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