Electric Power ›› 2025, Vol. 58 ›› Issue (12): 86-95.DOI: 10.11930/j.issn.1004-9649.202507009

• Key Technologies for Carbon Monitoring, Accounting, Carbon Footprint, and Carbon Management in New Power Systems • Previous Articles     Next Articles

User-Side Dynamic Carbon Responsibility Accounting Method Considering Marginal Carbon Emissions and Demand Response

YU Wanshui1(), YI Jun1, YANG Wenli2, MIAO Bo1(), ZHANG Haotian1, CHEN Wenjing1, BAO Jixiu2, JIN Xianglong2   

  1. 1. China Electric Power Research Institute, Beijing 100192, China
    2. State Grid Qinghai Electric Power Company Electric Power Research Institute, Xining 810008, China
  • Received:2025-07-03 Revised:2025-09-17 Online:2025-12-27 Published:2025-12-28
  • Supported by:
    This work is supported by Smart Grid-National Science and Technology Major Project (No.2024ZD0802000); Science and Technology Project of SGCC (No.52280024000L).

Abstract:

In the pursuit of the dual carbon goals, electricity is accounting for a growing share in final energy consumption. Fairly assigning carbon responsibilities to end-users and incentivizing their participation in emission reduction are crucial for the low-carbon transition of power systems. To address the issues of regional inequity and insufficient incentives for demand response in carbon responsibility accounting on the user side of the power system, this paper proposes a user-side dynamic carbon responsibility accounting method incorporating marginal carbon emissions and demand response. The method introduces the concept of marginal carbon emission intensity and establishes a bilevel optimization model. The upper-level model optimizes electricity consumption behavior via a user demand response model, while the lower-level model determines the system carbon emissions based on an operator pre-dispatch model. The solution is achieved using the iterative decomposition and coordination method. Case study results demonstrate that the proposed method effectively and dynamically accounts for carbon responsibility on the user side, and using marginal carbon emission intensity as an incentive signal yields superior emission reduction outcomes. This approach provides a fair accounting basis for fulfilling user-side carbon responsibilities and allocating carbon quotas, thereby promoting coordinated carbon reduction across both generation and consumption sides.

Key words: regional equity, demand response, user-side carbon responsibility, marginal carbon emission intensity, bilevel optimization model