Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

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

Hua, Weiqi and Sun, Hongjian and Xiao, Hao and Pei, Wei (2018) 'Stackelberg game-theoretic strategies for virtual power plant and associated market scheduling under smart grid communication environment.', in 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). Piscataway, NJ: IEEE, pp. 1-6.

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:Book chapter
Full text:(AM) Accepted Manuscript
Download PDF
(272Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1109/SmartGridComm.2018.8587583
Publisher statement:© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date accepted:25 July 2018
Date deposited:13 August 2018
Date of first online publication:27 December 2018
Date first made open access:No date available

Save or Share this output

Export:
Export
Look up in GoogleScholar