Name
Abstract | ||
|---|---|---|
Demand response (DR) has gained a significant recent interest due to its potential for mitigating many power system problems. Game theory is a very effective tool to be utilized in DR management. In this paper, the DR between a distribution system operator (DSO) and load aggregators (LAs) is designed as a Stackelberg game, where the DSO acts as the leader and LAs are regarded as the followers. Due to the limitations of the centralized solution approaches, a genetic algorithm-based decentralized approach is proposed. To demonstrate the proposed approach, a case study concerning a day-ahead optimization for a real-time pricing market with a single DSO and three LAs is designed and optimized. The proposed approach is able to shift the demand peaks and prove that it has a great potential to be used for the Stackelberg game between a DSO and multiple LAs to fully exploit the potential of DR. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.22360/SpringSim.2020.MSSES.002 | 2020 Spring Simulation Conference (SpringSim) |
Keywords | DocType | ISBN |
Stackelberg game,demand response,genetic algorithms,smart grid | Conference | 978-1-7281-6364-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kadir Amasyali | 1 | 0 | 1.69 |
| Mohammed M. Olama | 2 | 53 | 12.03 |
| Yang Chen | 3 | 0 | 0.68 |