Paper Info
Title
A Master-Slave Game Optimization Model for Electric Power Companies Considering Virtual Power Plant
Abstract
As an emerging and active entity in China's electricity market, electricity selling companies call for a more reliable operational mechanism and new consumption mode to broaden their profit margins. Aiming at distributed power generation-based sales companies and by considering the participation of virtual power plants (VPPs), this paper presents the relevant operating systems in the Chinese power market. Then the paper proposes a new platform for power transactions and optimal dispatch based on a master-slave game optimization model. The model is built so that the main gamer, power sales company, can achieve maximum profit while at the same time the secondary gamer, represented by the VPP attains the lowest internal dispatching cost. The energy of both parties is linked together, and the two parties continuously exchange their own strategies and optimize the operational decisions and scheduling plans iteratively. The results of the investigated case study reveal the benefits to retail electricity companies from adopting the proposed model to aggregate and manage decentralized resources, and optimize decision-making. The platform facilitates the use of controllable loads and distributed energy sources to participate in market transactions on a large scale, and optimize the operational strategies of electric utilities.
Year
DOI
Venue
2022
10.1109/ACCESS.2022.3152805
IEEE ACCESS
Keywords
DocType
Volume
Companies, Optimal scheduling, Load modeling, Real-time systems, Main-secondary, Games, Costs, Energy transaction, virtual power plant, master-slave game, optimal scheduling
Journal
10
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Tao Zhang1422100.57
Yihong Li200.34
Renwu Yan300.34
Ahmed Abu-Siada401.01
Yuetong Guo500.34
Jing Liu618757.41
Ran Huo700.34