Multi-Resolution Large Population Stochastic Differential Games and Their Application to Demand Response Management in the Smart Grid

被引:0
|
作者
Quanyan Zhu
Tamer Başar
机构
[1] University of Illinois at Urbana-Champaign,Coordinated Science Laboratory and the Department of Electrical and Computer Engineering
来源
关键词
Stochastic differential games; Large-population games; Mean-field Nash equilibrium; Multi-resolution games; Smart grid; Demand response; Power grid;
D O I
暂无
中图分类号
学科分类号
摘要
Dynamic demand response (DR) management is becoming an integral part of power system and market operational practice. Motivated by the smart grid DR management problem, we propose a multi-resolution stochastic differential game-theoretic framework to model the players’ intra-group and inter-group interactions in a large population regime. We study the game in both risk-neutral and risk-sensitive settings, and provide closed-form solutions for symmetric mean-field responses in the case of homogeneous group populations, and characterize the symmetric mean-field Nash equilibrium using the Hamilton–Jacobi–Bellman (HJB) equation together with the Fokker–Planck–Kolmogorov (FPK) equation. Finally, we apply the framework to the smart grid DR management problem and illustrate with a numerical example.
引用
收藏
页码:68 / 88
页数:20
相关论文
共 50 条
  • [1] Multi-Resolution Large Population Stochastic Differential Games and Their Application to Demand Response Management in the Smart Grid
    Zhu, Quanyan
    Basar, Tamer
    DYNAMIC GAMES AND APPLICATIONS, 2013, 3 (01) : 68 - 88
  • [2] Demand Response Management in the Smart Grid in a Large Population Regime
    Maharjan, Sabita
    Zhu, Quanyan
    Zhang, Yan
    Gjessing, Stein
    Basar, Tamer
    IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (01) : 189 - 199
  • [3] Stochastic demand side management in smart grid system
    Kumar M.
    Samuel C.
    International Journal of Networking and Virtual Organisations, 2019, 20 (04): : 319 - 339
  • [4] Autonomous Demand Response Using Stochastic Differential Games
    Forouzandehmehr, Najmeh
    Esmalifalak, Mohammad
    Mohsenian-Rad, Hamed
    Han, Zhu
    IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (01) : 291 - 300
  • [5] Adaptation of a multi-resolution docking bioinformatics application to the grid
    Centro de Investigaciones Biológicas-CSIC, 28040 Madrid, Spain
    不详
    J. Softw., 2007, 2 (1-10):
  • [6] A Stackelberg Game for Multi-Period Demand Response Management in the Smart Grid
    Alshehri, Khaled
    Liu, Ji
    Chen, Xudong
    Basar, Tamer
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 5889 - 5894
  • [7] Stochastic Games for the Smart Grid Energy Management With Prospect Prosumers
    Etesami, S. Rasoul
    Saad, Walid
    Mandayam, Narayan B.
    Poor, H. Vincent
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 63 (08) : 2327 - 2342
  • [8] Competitive Algorithms for Demand Response Management in Smart Grid
    Chau, Vincent
    Feng, Shengzhong
    Thang, Nguyen Kim
    LATIN 2018: THEORETICAL INFORMATICS, 2018, 10807 : 303 - 316
  • [9] Smart Grid Congestion Management Through Demand Response
    Hazra, J.
    Das, Kaushik
    Seetharam, Deva P.
    2012 IEEE THIRD INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2012, : 109 - 114
  • [10] Competitive algorithms for demand response management in a smart grid
    Chau, Vincent
    Feng, Shengzhong
    Thang, Nguyen Kim
    JOURNAL OF SCHEDULING, 2023, 26 (06) : 535 - 542