Optimal scheduling model for virtual power plant combining carbon trading and green certificate trading

Xiaopeng Guo, Liyi Wang and Dongfang Ren

Energy, 2025, vol. 318, issue C

Abstract: The virtual power plant, as a holistic system integrating multiple energy sources, can help address the serious challenge of climate change by optimizing the management of existing resources and providing a reliable overall power supply. Improving the use of clean energy while lowering carbon emissions is a pressing issue that requires attention. Firstly, the trading mechanism is developed for virtual power plants to collaborate in power markets, carbon trading markets, and green certificate markets. Second, this dissertation combines wind, solar, hydro, fossil fuel, and storage resource optimal dispatch models with carbon trading and green certificate trading methods. Subsequently, a multi-objective optimal scheduling model is developed to maximize profits and increase the consumption of renewable energy. Finally, three situations were analyzed to investigate the influence of virtual power plants participating in the carbon transactions and the green certificate market. The results show that the proposed virtual power plants optimal dispatch model improves the economic efficiency and increases the total revenue by 1.02 million yuan. In terms of environmental benefits, it increased the utilization of renewable energy by 4.49 % and reduced carbon emissions by 750t.

Keywords: Virtual power plant; Multi-market trading; Multi-objective particle swarm; Optimal scheduling (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:318:y:2025:i:c:s0360544225003925

DOI: 10.1016/j.energy.2025.134750

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