Low-carbon Operation Scheduling Method for Park Resources Considering Thermal and Electrical Demand Response
Against the backdrop of the "dual carbon" goals, there is an urgent need for industrial parks to reduce carbon emissions and improve energy efficiency. This paper proposes a low - carbon operational control method for parks that integrates demand response and electro - thermal coupling. A graded carbon trading mechanism is introduced to incorporate the carbon emission reduction of the electro - thermal multi - energy complementary system into carbon quota management, enabling the full utilization of the complementary advantages of the electro - thermal system. On the supply side, a ground - source heat pump is introduced to meet the park's thermal load requirements. On the demand side, a demand response model considering the complementary characteristics of electrical and thermal loads is established. This model uses time - of - use electricity prices and incentive - based response strategies to guide flexible loads for regulation, enhancing the flexibility and stability of the system operation. The CPLEX solver is employed to solve the optimal scheduling model. Simulation results indicate that through the synergistic effect of demand response and electro - thermal coupling mechanisms, this method lowers the park's operating costs by 10.3% and reduces carbon emissions by 17.7%. These results validate its dual advantages in economic dispatching and low - carbon operation, offering an effective solution for the energy conservation, carbon reduction, and sustainable development of parks.
Authors
- Ergang Zhao (ORCID: https://orcid.org/0000-0001-7482-8693)
- Yanbin He (ORCID: https://orcid.org/0000-0001-9531-099X)
- Hongtao Li (ORCID: https://orcid.org/0000-0003-0351-5969)
- Bo Wang (ORCID: https://orcid.org/0000-0003-2012-541X)
- Yanying Feng (ORCID: https://orcid.org/0000-0002-9738-6549)
- Sokleang Louy
Institutions
- State Grid Corporation of China (China) (CN)
- Tsinghua University (CN)
Publication Details
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1109/ceepe64987.2025.11034200
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Technology Project of State Grid