A Cooperative Game Theory-based Approach to Under-frequency Load Shedding Control

被引:7
|
作者
Gautam, Mukesh [1 ]
Bhusal, Narayan [1 ]
Benidris, Mohammed [1 ]
机构
[1] Univ Nevada, Dept Elect & Biomed Engn, Reno, NV 89557 USA
关键词
Adaptive load shedding; co-operative game theory; frequency control; Shapley Value; SCHEME;
D O I
10.1109/PESGM46819.2021.9638191
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposes a cooperative game theory-based under-frequency load shedding (UFLS) approach for frequency stability and control in power systems. UFLS is a crucial factor for frequency stability and control especially in power grids with high penetration of renewable energy sources and restructured power systems. Conventional UFLS methods, most of which are off-line, usually shed fixed amounts of predetermined loads based on a predetermined schedule which can lead to over or under curtailment of load. This paper presents a co-operative game theory-based two-stage strategy to effectively and precisely determine locations and amounts of loads to be shed for UFLS control. In the first stage, the total amount of loads to be shed, also referred to as deficit in generation or the disturbance power, is computed using the initial rate of change of frequency (ROCOF) referred to the equivalent inertial center. In the second stage, the Shapley value, one of the solution concepts of cooperative game theory, is used to determine load shedding amounts and locations. The proposed method is implemented on the reduced 9-bus 3-machine Western Electricity Coordinating Council (WECC) system and simulated on Real-time Digital Simulators (RTDS). The results show that the proposed UFLS approach can effectively return the system to normal state after disturbances.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Adaptive Under-Frequency Load Shedding
    董名垂
    卢展宏
    黄志刚
    [J]. Tsinghua Science and Technology, 2008, (06) : 823 - 828
  • [2] An Under-frequency Load Shedding Scheme with Continuous Load Control Proportional to Frequency Deviation
    Li, Changgang
    Sun, Yanli
    Yu, Yawei
    [J]. 2017 2ND ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2017), 2017, 199
  • [3] Multi-area optimal adaptive under-frequency load shedding control based on ANFIS approach
    Tiguercha, Ahmed
    Ladjici, Ahmed Amine
    Saboune, Souheil
    [J]. ELECTRICAL ENGINEERING, 2024, 106 (03) : 3573 - 3587
  • [4] A New Under-Frequency Load Shedding Scheme Based on OBDD
    Tan, Wei
    Shen, Chen
    Zhang, Xuemin
    Ni, Jingmin
    [J]. 2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, : 9 - 13
  • [5] Under-frequency load shedding scheme based on estimated inertia
    Wang, Huaiyuan
    He, Peican
    Jiang, Yuewen
    Wen, Buying
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2019, 39 (07): : 51 - 56
  • [6] An Investigation into WAMS-based Under-Frequency Load Shedding
    Wang, Guannan
    Xin, Huanhai
    Gan, Deqiang
    Li, Naihu
    Wang, Zhilin
    [J]. 2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [7] An adaptive under-frequency optimal control strategy for power system combined pumped storage and under-frequency load shedding
    Huang, Wentao
    Yu, Jinman
    Yuan, Zhijun
    He, Zhongwei
    He, Jun
    Deng, Minghui
    [J]. PLOS ONE, 2021, 16 (12):
  • [8] Dynamic Optimization of Adaptive Under-Frequency Load Shedding Based On WAMS
    Li Shun
    Liao Qingfen
    Wang Jiali
    [J]. 2016 IEEE INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2016, : 920 - 926
  • [9] Pattern Recognition-based Predictive Under-Frequency Load Shedding
    Skrjanc, Tadej
    Mihalic, Rafael
    Rudez, Urban
    [J]. 2020 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT-EUROPE 2020): SMART GRIDS: KEY ENABLERS OF A GREEN POWER SYSTEM, 2020, : 715 - 719
  • [10] Selective optimal under-frequency load shedding based on trajectory sensitivities
    Reveles-Pinedo, A.
    Fuerte-Esquivel, C. R.
    Pizano-Martinez, A.
    Ramirez-Betancour, R.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2024, 234