Stackelberg Game-Theoretic Strategies for Virtual Power Plant and Associated Market Scheduling Under Smart Grid Communication Environment

Hua, Weiqi; Sun, Hongjian; Xiao, Hao; Pei, Wei

Abstract

In order to schedule the virtual power plant and corresponding energy market operation, a two-scenario Stackelberg game-theoretic model is proposed to describe interactions between market operator and VPP operator. During market operation, the market operator is a leader of the game to decide market cleaning prices, considering the power loss minimization of VPP operator, whereas during VPP operation, the VPP operator becomes a leader to facilitate the demand side management (DSM) through proper monetary compensation, considering the market trading balance between power sellers and power buyers. An optimal scheduling strategy including power dispatch and market balance will be realised. Case studies prove the effectiveness of the proposed Stackelberg game-theoretic model through IEEE 30-bus test system. The market scheduling promotes the power exchange among VPPs. The VPP scheduling evaluates the optimal monetary compensation rate to motivate the DSM including load shifting and load curtailment.

Citation

Hua, W., Sun, H., Xiao, H., & Pei, W. (2018, October). Stackelberg Game-Theoretic Strategies for Virtual Power Plant and Associated Market Scheduling Under Smart Grid Communication Environment. Presented at IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids., Aalborg, Denmark

• Presentation Conference Type: Conference Paper (published)
• Conference Name: IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids.
• Start Date: Oct 29, 2018
• End Date: Oct 31, 2018
• Acceptance Date: Jul 25, 2018
• Online Publication Date: Dec 27, 2018
• Publication Date: Dec 27, 2018
• Deposit Date: Aug 11, 2018
• Publicly Available Date: Aug 13, 2018
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1-6
• Book Title: 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).
• DOI: https://doi.org/10.1109/smartgridcomm.2018.8587583
• Public URL: https://durham-repository.worktribe.com/output/1143973