Abstract
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.
Original language | English (US) |
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Pages (from-to) | 68-88 |
Number of pages | 21 |
Journal | Dynamic Games and Applications |
Volume | 3 |
Issue number | 1 |
DOIs | |
State | Published - Mar 2013 |
Keywords
- Demand response
- Large-population games
- Mean-field Nash equilibrium
- Multi-resolution games
- Power grid
- Smart grid
- Stochastic differential games
ASJC Scopus subject areas
- Statistics and Probability
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
- Computational Theory and Mathematics
- Computational Mathematics
- Applied Mathematics