| 注册
首页|期刊导航|电力系统自动化|提高下垂控制逆变器虚拟功角暂态稳定性的控制方法

提高下垂控制逆变器虚拟功角暂态稳定性的控制方法

章雷其 黄林彬 黄伟 辛焕海 胡家兵

电力系统自动化2017,Vol.41Issue(12):56-62,99,8.
电力系统自动化2017,Vol.41Issue(12):56-62,99,8.DOI:10.7500/AEPS20170125007

提高下垂控制逆变器虚拟功角暂态稳定性的控制方法

Control Methods to Improve Virtual Power Angle Transient Stability of Droop-Controlled Inverters

章雷其 1黄林彬 1黄伟 2辛焕海 1胡家兵3

作者信息

  • 1. 浙江大学电气工程学院, 浙江省杭州市 310027
  • 2. 云南电网有限责任公司调度控制中心, 云南省昆明市 650011
  • 3. 华中科技大学电气与电子工程学院, 湖北省武汉市 430074
  • 折叠

摘要

Abstract

Like synchronous generators, transient instability also occurs to droop-controlled inverters when subjected to large disturbances.Owing to the current limitation, the voltage loop of the inverter is out of work during the disturbance and the inverter turns to operating in the current source mode.The mechanism of the virtual power angle curves deviating during the transient process because of the limited voltage tracking performance, which reduces the stability margin, is further analyzed.To this end, a current feed-forward control method based on estimating the output current is proposed to improve the voltage tracking performance so that the transient stability is improved.Besides, to deal with the loss of equilibrium points during the transient process, a transient synchronous control method is proposed.It helps the inverter to reach a proper equilibrium point when the voltage loop is out of commission and prevents the inverter from transient instability.Finally, simulations on a single-machine-infinite-bus system verify the effectiveness of the proposed control methods.

关键词

逆变器/虚拟功角/暂态稳定/电流限幅/电流前馈控制/下垂控制

Key words

inverter/virtual power angle/transient stability/current limiting/current feed-forward control/droop control

引用本文复制引用

章雷其,黄林彬,黄伟,辛焕海,胡家兵..提高下垂控制逆变器虚拟功角暂态稳定性的控制方法[J].电力系统自动化,2017,41(12):56-62,99,8.

基金项目

国家重点研发计划资助项目(2016YFB0900104) (2016YFB0900104)

国家自然科学基金资助项目(51577168) (51577168)

云南电网科技项目(yndw(2016)000303DD00124).This work is jointly supported by the National Key Research and Development Program (No.2016YFB0900104), National Natural Science Foundation of China (No.51577168), and Yunnan Electric Power Company (No.yndw (2016) 000303DD00124). (yndw(2016)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

访问量0
|
下载量0
段落导航相关论文