A model-predictive approach to emergency voltage control in electrical power systems

被引:5
|
作者
Larsson, M [1 ]
机构
[1] ABB Switzerland, Corp Res, CH-5405 Baden, Switzerland
关键词
D O I
10.1109/CDC.2004.1430344
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recent blackouts have shown that traditional local protection against power system collapse is not always sufficient to arrest instabilities. This paper shows that centralized systems can perform better than traditional local protection, as well as outlining how the decision logic of such centralized systems can be implemented. We present a coordinated system protection scheme (SPS) against voltage collapse based on model predictive control and heuristic tree search. It coordinates dissimilar and discrete controls such as generator, tap changer and load shedding controls in presence of soft and hard constraints on controls as well as voltages and currents in the network. The response with the coordinated SPS is compared to an SPS based on local measurements using simulation of the Nordic 32 test system. In terms of the amount of load shedding required to restore voltage stability, the simulations indicate that load shedding based on local criteria is near optimal in the system studied. However, when also generator controls are considered as emergency controls, the coordinated scheme reduces the amount of required load shedding by 35% compared to the local scheme.
引用
收藏
页码:2016 / 2022
页数:7
相关论文
共 50 条
  • [21] Integrated Control and Optimization for Grid-Connected Photovoltaic Systems: A Model-Predictive and PSO Approach
    Boubii, Chaymae
    El Kafazi, Ismail
    Bannari, Rachid
    El Bhiri, Brahim
    Mobayen, Saleh
    Zhilenkov, Anton
    Bossoufi, Badre
    [J]. ENERGIES, 2023, 16 (21)
  • [22] Model predictive control of electric power systems under emergency conditions
    Zima, M
    Andersson, G
    [J]. REAL-TIME STABILITY IN POWER SYSTEMS: TECHNIQUES FOR EARLY DETECTION OF THE RISK OF BLACKOUT, 2006, : 273 - +
  • [23] Model-predictive control looks to the future
    VanDoren, VJ
    [J]. CONTROL ENGINEERING, 2003, 50 (08) : 56 - 56
  • [24] Tuning Guidelines for Model-Predictive Control
    Alhajeri, Mohammed
    Soroush, Masoud
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2020, 59 (10) : 4177 - 4191
  • [25] INTERNAL MODEL-PREDICTIVE CONTROL (IMPC)
    COULIBALY, E
    MAITI, S
    BROSILOW, C
    [J]. AUTOMATICA, 1995, 31 (10) : 1471 - 1482
  • [26] Model-predictive control of hyperthermia treatments
    Arora, D
    Skliar, M
    Roemer, RB
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2002, 49 (07) : 629 - 639
  • [27] Cooperative Fuzzy Model-Predictive Control
    Killian, Michaela
    Mayer, Barbara
    Schirrer, Alexander
    Kozek, Martin
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2016, 24 (02) : 471 - 482
  • [28] Model-predictive control for optimum processes
    VanDoren, V
    [J]. CONTROL ENGINEERING, 1996, 43 (06) : 108 - 108
  • [29] Hierarchical Model-Predictive Droop Control for Voltage and Frequency Restoration in AC Microgrids
    Poonahela, Iresha
    Krama, Abdelbasset
    Bayhan, Sertac
    Fesli, Ugur
    Shadmand, Mohammad B.
    Abu-Rub, Haitham
    Begovic, Miroslav M.
    [J]. IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY, 2023, 4 : 85 - 97
  • [30] MODEL-PREDICTIVE CONTROL OF CHEMICAL PROCESSES
    EATON, JW
    RAWLINGS, JB
    [J]. CHEMICAL ENGINEERING SCIENCE, 1992, 47 (04) : 705 - 720