Demand Response Strategy of Air Conditioning Load Aggregator Based on Non-Cooperative Game

被引:0
|
作者
Liu, Zehuai [1 ]
Zhang, Yongjun [1 ]
Hao, Jinbao [1 ]
机构
[1] South China Univ Technol Guangzhou, Sch Elect Power, Guangzhou, Guangdong, Peoples R China
关键词
Air conditioning; load aggregator; game; demand response; SIDE MANAGEMENT;
D O I
10.1145/3323716.3323731
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The air conditioning load is a kind of Demand Response (DR) resources. The adverse impact of the load peak on the power grid can be alleviated by dispatching the DR resources. Firstly, the scheduling operation structure of air-conditioning load aggregator (LA) is proposed. Secondly, a multi-level load reduction model of the air conditioning is established based on the characteristics of the air conditioning load. Then the game model of multi-air conditioning LAs is established. A changeable parameter is introduced in the real-time electricity price strategy which is the base of the air conditioning LA game, and the supply curve of the DR market is obtained by continuously changing the value of the parameter. The point where the supply curve intersects with the grid company's demand curve serves as the scheduling basis for the DR. Finally, the strategy is further analyzed by case study.
引用
收藏
页码:184 / 188
页数:5
相关论文
共 50 条
  • [1] A Demand Response Product of Air-conditioning Service for Load Aggregator Business
    Cheng, Lin
    Wan, Yuxiang
    Zhang, Fang
    Wang, Xuyang
    Wang, Yunfei
    [J]. 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [2] Non-cooperative game-theoretic model of demand response aggregator competition for selling stored energy in storage devices
    Motalleb, Mahdi
    Ghorbani, Reza
    [J]. APPLIED ENERGY, 2017, 202 : 581 - 596
  • [3] Demand Response of Load Aggregator Based on Game Theory and Potential Prediction
    Gao, Kun
    Li, Chenghao
    Liu, Mingyang
    Tian, Chunsun
    Gao, Ze
    Wang, Yucui
    Zhang, Di
    [J]. PROCEEDINGS OF 2023 INTERNATIONAL CONFERENCE ON WIRELESS POWER TRANSFER, VOL 3, ICWPT 2023, 2024, 1160 : 287 - 294
  • [4] Non-Cooperative Game in Block Bidding Markets Considering Demand Response
    Guo, Ningxuan
    Wang, Yinan
    Yan, Gangfeng
    Hou, Jian
    [J]. ENERGIES, 2020, 13 (13)
  • [5] Optimal trading strategy for load aggregator based on integrated demand response
    Liu, Peiyun
    Ding, Tao
    He, Yuankang
    Chen, Tianen
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2019, 39 (08): : 224 - 231
  • [6] Networked Optimization for Demand Side Management based on Non-cooperative Game
    Li, Chaojie
    Yu, Xinghuo
    Yu, Wenwu
    Huang, Tingwen
    [J]. PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2015, : 1159 - 1164
  • [7] Research and Control Strategy of Air-conditioning Load Model Based on Demand Response
    Gao, Shengyu
    Zhang, Haochen
    Cheng, Lexiang
    Wang, Chun
    Wang, Zizhen
    Lin, Zijie
    [J]. 2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018, : 851 - 855
  • [8] Modelling utility-aggregator-customer interactions in interruptible load programmes using non-cooperative game theory
    Mohseni, Soheil
    Brent, Alan C.
    Kelly, Scott
    Browne, Will N.
    Burmester, Daniel
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 133
  • [9] Optimal market trading strategy of load aggregator based on comprehensive demand response
    Xu, Nan
    Wang, Linfeng
    Zhou, Bo
    Zhao, Zihao
    Nie, Jing
    [J]. 2020 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY, ENVIRONMENT AND CHEMICAL ENGINEERING, PTS 1-5, 2020, 546
  • [10] Development Strategy of Logistics Park in China Based on Non-cooperative Game
    Tsai, Hsien-Tang
    Huang, ShiZheng
    [J]. 2012 INTERNATIONAL CONFERENCE ON EDUCATION REFORM AND MANAGEMENT INNOVATION (ERMI 2012), VOL 5, 2013, : 566 - 572