Bi-level Demand Response Game with Information Sharing among Consumers

被引:4
|
作者
Zhang, Zhaohui [1 ]
Deng, Ruilong [2 ]
Yuan, Tao [1 ]
Qin, S. Joe [1 ]
机构
[1] Univ Southern Calif, Viterbi Sch Engn, Los Angeles, CA 90089 USA
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB, Canada
来源
IFAC PAPERSONLINE | 2016年 / 49卷 / 07期
关键词
electric power systems; demand response; game theory; information integration; MANAGEMENT;
D O I
10.1016/j.ifacol.2016.07.252
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we formulate the demand response problem in smart grid as a bi-level game: a consumer-level noncooperative game and a one-leader-one-follower Stackelberg game between the provider-level and the consumer level. We prove the existence of a Nash Equilibrium for the noncooperative game and a Stackelberg Equilibrium for the Stackelberg game, focus on the case with information sharing among all consumers, and design distributed algorithms for the supply side and dell land side as well as the information platform. Numerical results are provided to illustrate the performance of the proposed algorithms and the effectiveness of information sharing for improving each consumer's payoff. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:663 / 668
页数:6
相关论文
共 50 条
  • [31] The Game Theory Approach for solving the Hierarchical and Decentralized Bi-Level problem
    Ghotbi, Ehsan
    Dhingra, Anoop K.
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2013, VOL 12, 2014,
  • [32] Bi-level Game Model for Interaction between Arctic and Traditional Routes
    Wang, Yangjun
    Zhang, Ren
    JOURNAL OF NAVIGATION, 2019, 72 (02): : 269 - 289
  • [33] A Bi-Level Peak Regulation Optimization Model for Power Systems Considering Ramping Capability and Demand Response
    Fang, Linbo
    Peng, Wei
    Li, Youliang
    Yang, Zi
    Sun, Yi
    Liu, Hang
    Xu, Lei
    Sun, Lei
    Fang, Weikang
    ENERGIES, 2024, 17 (19)
  • [34] The Algorithms for the Bi-level Programming Location Model Based on the Demand Assigning
    Kang Li
    Dong Yinhong
    2013 10TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2013, : 999 - 1004
  • [35] An Adaptive Bi-Level Gradient Procedure for the Estimation of Dynamic Traffic Demand
    Cantelmo, Guido
    Cipriani, Ernesto
    Gemma, Andrea
    Nigro, Marialisa
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 15 (03) : 1348 - 1361
  • [36] Bi-level Model for Demand Side Management in Integrated Energy System
    Qian, Yimin
    Ding, Kai
    Chen, Qiao
    Xu, Xirui
    PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC), 2019, : 53 - 58
  • [37] BI-LEVEL PROGRAMMING MODEL AND ALGORITHMS FOR STOCHASTIC NETWORK WITH ELASTIC DEMAND
    Zhang, Xiang
    Wang, Hao
    Wang, Wei
    TRANSPORT, 2015, 30 (01) : 117 - 128
  • [38] Demand response for aggregated residential consumers with energy storage sharing
    Paridari, Kaveh
    Parisio, Alessandra
    Sandberg, Henrik
    Johansson, Karl Henrik
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 2024 - 2030
  • [39] Bi-level document image compression using layout information
    Inglis, SJ
    Witten, IH
    DCC '96 - DATA COMPRESSION CONFERENCE, PROCEEDINGS, 1996, : 442 - 442
  • [40] A linearized multi-objective Bi-level approach for operation of smart distribution systems encompassing demand response
    Rawat, Tanuj
    Niazi, K. R.
    Gupta, Nikhil
    Sharma, Sachin
    ENERGY, 2022, 238