Strong Excitation Control and Stabilization of Operating Modes in a Multi-Machine Power System

被引:0
|
作者
Kogan F.L. [1 ]
机构
[1] JCS “RnD center of FGC UES”, Moscow
关键词
excitation regulator; PD regulator; power system; stabilization of transient modes; strong control; synchronous generator;
D O I
10.1007/s10749-021-01377-1
中图分类号
学科分类号
摘要
In the previously published articles “Features of strong excitation control of synchronous generators in a complex power system” (Élektricheskie Stantsii, 2019, No. 7) and “Improving power system stabilization in response to grid disturbances” (Électrichestvo, 2020, No. 5), the author experimentally showed that the method conventionally used in the Unified Energy System (UES) of Russia for stabilizing the operating modes of complex power systems under external disturbances is not always efficient. This stabilization method uses signals from automatic excitation regulators (AER) based on the deviation and voltage frequency derivative on the generator terminals. In oscillating transient modes, however, these signals differ significantly in phase from the deviation and rotation frequency derivative of the generators. Instead of damping the occurring oscillations, this process can amplify their amplitude and duration. The author proposed a method for stabilizing the operating modes of power systems by the signals of deviation difference between the rotation frequency of each generator and the voltage frequency on the busbars, as well as the derivative of mismatch between them. The conducted full-scale tests confirmed the efficiency of the proposed method. Following the publication of the above articles, the efficiency of the method was confirmed in a critical discussion presented in the Élektricheskie Stantsii journal. This article discusses the physical difference between the proposed and conventional methods for stabilizing the operating modes of power systems, and explains the efficiency of the proposed method under the operating conditions of complex power systems. Experimental oscillograms of transient processes that have not been published before are presented. © 2021, Springer Science+Business Media, LLC, part of Springer Nature.
引用
收藏
页码:424 / 430
页数:6
相关论文
共 50 条
  • [1] Multi-machine Power System Robust Excitation Control
    Zhang, Jun
    Wang, Xihuai
    Xiao, Jianmei
    [J]. 2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT A, 2011, 10 : 350 - 355
  • [2] MULTI-MACHINE EXCITATION STABILIZATION VIA SYSTEM IDENTIFICATION
    MASIELLO, RD
    SCHWEPPE, FC
    [J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1975, PA94 (02): : 444 - 454
  • [3] DYNAMIC INTERACTION OF MULTI-MACHINE POWER-SYSTEM AND EXCITATION CONTROL
    MOUSSA, HAM
    YU, Y
    [J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1974, PA93 (04): : 1150 - 1158
  • [4] Experimental verification of fuzzy excitation control system for multi-machine power system
    Kitauchi, Y
    Taniguchi, H
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 1997, 12 (01) : 94 - 99
  • [5] STABILIZATION OF MULTI-MACHINE SYSTEM THROUGH NON-LINEAR GAIN EXCITATION CONTROL
    RAO, MV
    DAVE, MP
    [J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1977, 96 (04): : 1071 - 1072
  • [6] Multi-machine power system stabilization with FACTS equipment applying fuzzy control
    Senjyu, T
    Molinas, M
    Uezato, K
    [J]. PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1996, : 2202 - 2207
  • [7] Stabilization of multi-machine power system with facts equipment applying fuzzy control
    Senjyu, T
    Molinas, M
    Shiroma, T
    Uezato, K
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 1998, 6 (02) : 209 - 221
  • [8] Robust adaptive fuzzy excitation control of multi-machine electric power system
    Liang, ZS
    Pan, KY
    Zhang, HG
    [J]. POWERCON '98: 1998 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY - PROCEEDINGS, VOLS 1 AND 2, 1998, : 804 - 808
  • [9] Optimal feedback excitation decentralized coordinated control model of multi-machine power system
    Huang, Xuncheng
    Qi, Huan
    Zhang, Xiaopan
    Lu, Lifang
    Hu, Yangyu
    [J]. ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING II, PTS 1-3, 2013, 433-435 : 1343 - +
  • [10] Stabilization of a multi-machine power system using nonlinear robust variable structure control
    Samarasinghe, VGDC
    Pahalawaththa, NC
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 1997, 43 (01) : 11 - 17