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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimized Low Carbon Economy Scheduling of Regional Integrated Electricity-Heat Energy System with Electric Vehicles Considering Green Certificates - Carbon Trading and Demand Response

Yuewen Zhang, Feng Hu, Xiangnan Sun, Mengran Zhou et al.
Electric Vehicles and Infrastructure
article

Optimized Low Carbon Economy Scheduling of Regional Integrated Electricity-Heat Energy System with Electric Vehicles Considering Green Certificates - Carbon Trading and Demand Response

Yuewen Zhang, Feng Hu, Xiangnan Sun, Mengran Zhou, Chunchen Shi, Yu Zhang
article en

Abstract

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>.

Anhui University of Science and Technology (CN)
Openalex Percentile: Top 87%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.