Stackelberg game - theoretic strategies for virtual power plant and associated market scheduling under smart grid communication environment

Hua, Weiqi, Sun, Hongjian, Xiao, Hao and Pei, Wei 2018. Stackelberg game - theoretic strategies for virtual power plant and associated market scheduling under smart grid communication environment. Presented at: 2018 EEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Aalborg, Denmark, 29-31 October 2018. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, pp. 1-6. 10.1109/SmartGridComm.2018.8587583

Full text not available from this repository.

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.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	IEEE
ISBN:	9781538679548
Date of Acceptance:	27 December 2018
Last Modified:	19 May 2023 01:51
URI:	https://orca.cardiff.ac.uk/id/eprint/137294

Citation Data

Cited 6 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item