Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid
University of Toronto · University of British Columbia
Abstract
Most of the existing demand-side management programs focus primarily on the interactions between a utility company and its customers/users. In this paper, we present an autonomous and distributed demand-side energy management system among users that takes advantage of a two-way digital communication infrastructure which is envisioned in the future smart grid. We use game theory and formulate an energy consumption scheduling game, where the players are the users and their strategies are the daily schedules of their household appliances and loads. It is assumed that the utility company can adopt adequate pricing tariffs that differentiate the energy usage in time and level. We show that for a common scenario,…
Citation impact
- FWCI
- 95.62
- Percentile
- 100%
- References
- 29
Authors
5Topics & keywords
- Smart grid
- Demand response
- Energy consumption
- Computer science
- Energy management
- Nash equilibrium
- Game theory
- Scheduling (production processes)
- Affordable and clean energy