Low carbon optimal dispatch of integrated energy systems considering V2G and demand response under carbon trading mechanisms

Abstract

With the growing integration of renewable power generation, the coordinated optimization and multi-energy complementarity of integrated energy systems (IESs) have become more prominent, while the adoption of electric vehicles (EVs) has grown significantly. Vehicle to grid (V2G) technology enhances the coupling between power grids and transportation networks. However, existing scheduling schemes fail to fully exploit their advantages. This study develops an optimized scheduling model for IESs under carbon trading mechanisms, incorporating V2G response and demand response (DR). First, to address the drawbacks of disordered EV charging, an orderly charging/discharging scheduling strategy based on time-of-use (TOU) pricing is developed. Second, to maximize the carbon reduction potential of carbon trading, green certificate trading (GCT) and DR mechanisms are coupled with the carbon emission trading (CET) mechanism. Through a comparative analysis of eight different scenarios, the introduction of the carbon trading mechanism and the DR mechanism leads to a reduction of 19.59% in total costs and 18.41% in carbon emissions, respectively. Furthermore, when the V2G mechanism is incorporated, the total costs and carbon emissions are further reduced by 19.25% and 16.46%, respectively. The effectiveness of the proposed model is thus successfully validated.

Graphical abstract: Low carbon optimal dispatch of integrated energy systems considering V2G and demand response under carbon trading mechanisms

Article information

Article type
Paper
Submitted
23 Jul 2025
Accepted
19 Sep 2025
First published
01 Oct 2025

Sustainable Energy Fuels, 2025, Advance Article

Low carbon optimal dispatch of integrated energy systems considering V2G and demand response under carbon trading mechanisms

P. Li, Z. Ni, X. Lei, K. Ye and Z. Han, Sustainable Energy Fuels, 2025, Advance Article , DOI: 10.1039/D5SE01008J

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