Parameter identification for SVG controller based on RTDS hardware-in-the-loop test

被引：0
|
作者：
Xia T. [1 ]
Ma J. [2 ]
Huang H. [2 ]
Peng Y. [2 ]
Xiao X. [3 ]
Chen H. [3 ]
Guo R. [4 ]
机构：
[1] College of Engineering, Zhejiang University, Hangzhou
[2] State Grid Zhejiang Electric Power Research Institute, Hangzhou
[3] Hangzhou Yineng Power Technology Co., Ltd., Hangzhou
[4] College of Electrical Engineering, Zhejiang University, Hangzhou
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2020年 / 48卷 / 13期
关键词：
BPA; Parameter identification; RTDS hardware-in-the-loop test; Static var generator; Transient simulation;
D O I：
10.19783/j.cnki.pspc.190908
中图分类号：
学科分类号：
摘要：
The Static Var Generator (SVG) plays a significant role in the dynamic characteristics of power systems after large disturbances. The accuracy of the SVG controller parameters is the key to transient simulation of power systems with power electronic equipment. This paper presents a parameter identification method for an SVG controller based on RTDS hardware-in-the-loop test. This method establishes the SVG controller-RTDS hardware-in-the-loop test system to obtain the SVG response data as the measured data. For different combinations of controller parameters, BPA software is used for transient simulation, and parameter identification is based on the Least Squares (LS) index of transient simulation results and measured results. The correctness and effectiveness of the proposed method are verified by the hardware-in-the-loop test of an actual SVG controller, which can better meet the application requirements of the actual power system transient simulation. © 2020, Power System Protection and Control Press. All right reserved.
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页码：110 / 116
页数：6
相关论文
共 26 条
  • [1] SUN Yuanzhang, LIU Qianjin, Overview of FACTS control technology--model, target and strategy, Automation of Electric Power Systems, 23, 6, pp. 1-7, (1999)
  • [2] POURBEIK P, SULLIVAN D J, BOSTROM A, Et al., Generic model structures for simulating static var systems in power system studies-a WECC task force effort, IEEE Transactions on Power Systems, 27, 3, pp. 1618-1627, (2012)
  • [3] PENG F Z, LAI J S., Dynamic performance and control of a static var generator using cascade multilevel inverters, IEEE Transactions on Industrial Application, 33, 3, pp. 748-755, (1997)
  • [4] WEI Wenhui, LIU Wenhua, SONG Qiang, Et al., Study on dynamic control strategy of chain STATCOM based on active-reactive decoupling PWM control based on inverse system method, Proceedings of the CSEE, 25, 3, pp. 25-30, (2005)
  • [5] KAWAMURA A, HANEYOSHI T, HOFT R G., Deadbeat controlled PWM inverter with parameter estimation using only voltage sensor, IEEE Transactions on Power Electronics, 3, 2, pp. 118-126, (1988)
  • [6] MORI S, MATSUNO K, HASEGAWA T, Et al., Development of a large static var generator using self-commutated inverter for improving power system stability, IEEE Transactions on Power Systems, 8, 1, pp. 371-377, (1993)
  • [7] JIANG Qirong, LIU Wenhua, HAN Yingduo, Et al., Design of ±20 Mvar STATCOM controller, Automation of Electric Power Systems, 24, 23, pp. 24-28, (2000)
  • [8] LI Chunhua, HUANG Weixiong, YUAN Zhichang, Et al., Control strategy of ±200 Mvar chain STATCOM system in China Southern Power Grid, Automation of Electric Power Systems, 37, 3, pp. 116-121, (2013)
  • [9] FU Xiangyun, WANG Jianze, JI Yanchao, Et al., Adaptive deadbeat control in stationary reference frame for D-STATCOM, Automation of Electric Power Systems, 31, 8, pp. 41-45, (2007)
  • [10] LI Ningning, WANG Jianze, JI Yanchao, Et al., STATCOM predictive parameter adaptive identification method in direct power control, Power System Technology, 39, 8, pp. 40-46, (2015)
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