Skip to main content

ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Smart Grids
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1501577
This article is part of the Research Topic Optimal Scheduling of Demand Response Resources In Energy Markets For High Trading Revenue and Low Carbon Emissions View all 34 articles

Consider the master-slave game model of integrated energy system with step carbon trading and demand response

Provisionally accepted
Yi Zhang Yi Zhang 1*Zhezhou Zhang Zhezhou Zhang 1Jiyu Li Jiyu Li 2
  • 1 School of Economics and Management, Shanghai University of Electric Power, Shanghai, China
  • 2 State Grid Fujian Electric Power Company, Gulou, Fujian, China

The final, formatted version of the article will be published soon.

    In the context of deepening energy coupling and the high penetration of renewable energy, this paper proposes a master-slave game model incorporating comprehensive demand response and a stepped carbon trading mechanism. The goal is to optimize scheduling of demand response resources and fully leverage the flexibility of energy use within an integrated energy system while addressing conflicts of interest among multiple stakeholders, thereby enhancing trading revenue in Energy Markets while considering lower carbon emissions. Firstly, the basic structure of the integrated energy system is analyzed, and the decision-making entities are modeled. A stepped carbon pricing mechanism is introduced to constrain the carbon emissions of each entity, while comprehensive demand response is introduced on the user side to improve user economic benefits and energy use comfort. Secondly, an energy manager is designated as the leader, while energy suppliers, energy storage operators, and users act as followers, forming a master-slave game model to explore the interaction mechanisms among the entities. Finally, the model is solved using the differential evolution algorithm and the Cplex tool on the Matlab platform, resulting in an equilibrium solution. A case study is conducted using relevant data from a typical region in China, demonstrating that the scheduling of demand response resources are improved, and carbon emissions are reduced, thereby verifying the rationality and effectiveness of the proposed model. Profits of EMO、 EGO、ESO and users have respectively increased 34%、46%、31% and 7%. The carbon emissions of the system have decreased 11%.

    Keywords: Master-salve game, Stepped Carbon Trading, Integrated energy system, demand response, differential evolution

    Received: 25 Sep 2024; Accepted: 31 Jan 2025.

    Copyright: © 2025 Zhang, Zhang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yi Zhang, School of Economics and Management, Shanghai University of Electric Power, Shanghai, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.