Optimized Low Carbon Economy Scheduling of Regional Integrated Electricity-Heat Energy System with Electric Vehicles Considering Green Certificates - Carbon Trading and Demand Response
In order to promote green development in the regional integrated electricity-heat energy system (RIEHS), this paper proposes a low-carbon and economic optimization scheduling model of the RIEHS containing electric vehicle (EV) considering green certificate-carbon trading and demand response. Firstly, the RIEHS model is established, which is divided into the load-side and source-grid side for scheduling, and at the same time, the green certificate trading (GCT) and carbon emission trading (CET) mechanisms are introduced to establish the GCT-CET fusion interaction model. Secondly, on the load-side, price-based demand response is utilized to guide the ordered charging of EVs. At the same time, incentive-based demand response is used to realize the leveling and reduction of electric and thermal loads. Finally, the model is solved on the source-grid side to minimize the system's total operating cost using the GUROBI solver. The data suggest that the GCT-CET integration mechanism proposed in this paper can improve the economy of system operation and reduce carbon emissions. Compared with the single CET mechanism, its total system operation cost is reduced by 8.39% and the new energy consumption rate is increased by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{3. 2 4 \%}$</tex>.
Authors
- Yuewen Zhang (ORCID: https://orcid.org/0000-0003-3362-5085)
- Feng Hu (ORCID: https://orcid.org/0000-0003-2088-6227)
- Xiangnan Sun (ORCID: https://orcid.org/0000-0002-5461-9699)
- Mengran Zhou (ORCID: https://orcid.org/0000-0002-7438-0339)
- Chunchen Shi
- Yu Zhang (ORCID: https://orcid.org/0000-0001-8231-2910)
Institutions
- Anhui University of Science and Technology (CN)
Publication Details
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1109/acpee64358.2025.11040394
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00