Open Access
ARTICLE
Low-Carbon Economic Dispatch of Electric-Thermal-Hydrogen Integrated Energy System Based on Carbon Emission Flow Tracking and Step-Wise Carbon Price
Department of Electrical Engineering, Hubei University of Technology, Wuhan, 430068, China
* Corresponding Author: Yukun Yang. Email:
Energy Engineering 2025, 122(11), 4653-4678. https://doi.org/10.32604/ee.2025.068199
Received 22 May 2025; Accepted 28 July 2025; Issue published 27 October 2025
Abstract
To address the issues of unclear carbon responsibility attribution, insufficient renewable energy absorption, and simplistic carbon trading mechanisms in integrated energy systems, this paper proposes an electric-heat-hydrogen integrated energy system (EHH-IES) optimal scheduling model considering carbon emission stream (CES) and wind-solar accommodation. First, the CES theory is introduced to quantify the carbon emission intensity of each energy conversion device and transmission branch by defining carbon emission rate, branch carbon intensity, and node carbon potential, realizing accurate tracking of carbon flow in the process of multi-energy coupling. Second, a stepped carbon pricing mechanism is established to dynamically adjust carbon trading costs based on the deviation between actual carbon emissions and initial quotas, strengthening the emission reduction incentive. Finally, a low-carbon economic dispatch model is constructed with the objectives of minimizing operation cost, carbon trading cost, wind-solar curtailment penalty cost, and energy loss. Simulation results show that compared with the traditional economic dispatch scheme 3, the proposed scheme1 reduces carbon emissions by 53.97% and wind-solar curtailment by 68.89% with a 16.10% increase in total cost. This verifies that the model can effectively improve clean energy utilization and reduce carbon emissions, achieving low-carbon economic operation of EHH-IES, with CES theory ensuring precise carbon flow tracking across multi-energy links.Keywords
Cite This Article
Copyright © 2025 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Submit a Paper
Propose a Special lssue
View Full Text
Download PDF
Downloads
Citation Tools