A strategy for contingency management with aggregated thermostatically controlled loads in china's electricity market

被引:0
|
作者
Zhou, Hua [1 ]
Bao, Minglei [2 ]
Zhu, Bingquan [1 ]
Xiang, Zhongming [1 ]
Xu, Lizhong [1 ]
Gao, Zhiyuan [3 ]
Xue, Bike [3 ]
Ding, Yi [2 ]
机构
[1] State Grid Zhejiang Elect Power Corp, Hangzhou 310007, Zhejiang, Peoples R China
[2] Zhejiang Univ, Sch Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
[3] China Elect Power Res Inst, Nanjing 210003, Jiangsu, Peoples R China
关键词
RESERVE; MODEL;
D O I
10.1088/1755-1315/227/3/032010
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
Faced with the deregulation of power grid in China, the traditional operation dispatch of system and the management of customers will change enormously. In the new environment, the power consumption of customers could be adjusted with the information and communication technology, which provide a new approach for system operator to maintain the power balance between supply and demand during contingencies. In China, thermostatically controlled loads (TCLs) account for a large proportion of power consumptions and have a great potential to provide regulating reserve for system. Therefore, a strategy for contingency management with TCLs is proposed in this paper to guarantee the reliable operation of power system. Firstly, the regulating capacity models of aggregated TCLs are proposed by the aggregation of the model for one individual TCL considering the customer behaviour and electric-thermal characteristics. What's more, an optimization model integrating the aggregated TCLs and conventional generators is proposed to determine the operation dispatch during contingencies. The proposed methods are validated using the modified IEEE 30-bus system.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] A Control Strategy of Thermostatically Controlled Loads for Power System Frequency Regulation
    Liu, Saijia
    Zhang, Zhenyuan
    Chen, Yun
    Hu, Li
    2023 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA, I&CPS ASIA, 2023, : 473 - 478
  • [32] A Generic Load Forecasting Method for Aggregated Thermostatically Controlled Loads Based on Convolutional Neural Networks
    Gong, Xun
    Guerra, Eduardo Castillo
    Barrera, J. L. Cardenas
    Cao, Bo
    Chang, Liuchen
    Saleh, Saleh
    2019 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2019, : 495 - 502
  • [33] Real-time Linearized Scheduling Model for Distribution Networks with Aggregated Thermostatically Controlled Loads
    Wei, Congying
    Wang, Yang
    Wang, Chunming
    Xu, Jian
    Liao, Siyang
    Wang, Jun
    2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022), 2022, : 114 - 120
  • [34] Optimizing the Regulation of Aggregated Thermostatically Controlled Loads by Jointly Considering Consumer Comfort and Tracking Error
    Yang, Jie
    Liu, Tongyu
    Wang, Huaibao
    Tian, Zhenhua
    Liu, Shihao
    ENERGIES, 2019, 12 (09)
  • [35] Primary Frequency Control Strategy of Switching Thermostatically Controlled Load and Modeling of Aggregated Model
    Nie S.
    Li T.
    Chen L.
    Xu F.
    Zhang J.
    Wang Y.
    Min Y.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 42 : 1 - 11
  • [36] Packetized energy management: asynchronous and anonymous coordination of thermostatically controlled loads
    Almassalkhi, Mads
    Frolik, Jeff
    Hines, Paul
    2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, : 1431 - 1437
  • [37] Aggregate Modeling of Thermostatically Controlled Loads for Microgrid Energy Management Systems
    Cordova, Samuel
    Canizares, Claudio A.
    Lorca, Alvaro
    Olivares, Daniel E.
    IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (06) : 4169 - 4181
  • [38] Management of Peak Loads in an Emerging Electricity Market
    Mbinkar E.N.
    Asoh D.A.
    Mungwe J.N.
    Songyuh L.
    Lamfu E.
    Energy Engineering: Journal of the Association of Energy Engineering, 2022, 119 (06): : 2637 - 2654
  • [39] Hybrid control of aggregated thermostatically controlled loads: step rule, parameter optimisation, parallel and cascade structures
    Ma, Kai
    Yuan, Chenliang
    Liu, Zhixin
    Yang, Jie
    Guan, Xinping
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (16) : 4149 - 4157
  • [40] Two-layer Scheduling of Aggregated Electric Vehicles and Thermostatically Controlled Loads in Micro-grid
    Tao, Yuechuan
    Wang, Guibin
    Zhang, Xian
    Lai, Shuying
    Wang, Yunqi
    Liu, Huichuan
    Qiu, Jing
    2019 9TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS (ICPES), 2019,