Modeling Optimal Dispatch for Power Systems: Incorporating Carbon Emissions Metering and Allocation at Source and Load Sides

China’s adoption of dual-carbon goals has spurred the rapid development of new power systems. This has led to a growing proportion of flexible resources within the power grid, thereby bolstering emission reduction potential on both the source and load sides. Consequently, metering and allocating carbon emissions from both sides, rather than solely from the source, prove more advantageous for low-carbon operations. In this study, we incorporated load-side elastic resources into the optimization and scheduling model and constructed a carbon emission metering and allocation model from both sides to reasonably allocate carbon emissions during system operation. Simultaneously, an optimization model for intra-day coordinated scheduling was constructed by comprehensively considering economic and carbon benefits as optimization objectives. Finally, the rationality and effectiveness of the proposed model were verified using an IEEE 39-node system example analysis. The results showed that the dual carbon emission metering and allocation model fully utilized carbon reduction capabilities, achieving a synergy of low-carbon goals on both sides while meeting the supply-demand balance.

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Publication Details

Journal
Electric Power Components and Systems
Published
2026-10-04
DOI
https://doi.org/10.1080/15325008.2026.2692574
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling Optimal Dispatch for Power Systems: Incorporating Carbon Emissions Metering and Allocation at Source and Load Sides

苏锦勋, Tongwen Wang, Qi Jiang, Yingjie Zhang et al.
Electric Power Components and Systems
Electric Power System Optimization
article

Modeling Optimal Dispatch for Power Systems: Incorporating Carbon Emissions Metering and Allocation at Source and Load Sides

苏锦勋, Tongwen Wang, Qi Jiang, Yingjie Zhang, Hao Tang, Song Wang
article en

Abstract

China’s adoption of dual-carbon goals has spurred the rapid development of new power systems. This has led to a growing proportion of flexible resources within the power grid, thereby bolstering emission reduction potential on both the source and load sides. Consequently, metering and allocating carbon emissions from both sides, rather than solely from the source, prove more advantageous for low-carbon operations. In this study, we incorporated load-side elastic resources into the optimization and scheduling model and constructed a carbon emission metering and allocation model from both sides to reasonably allocate carbon emissions during system operation. Simultaneously, an optimization model for intra-day coordinated scheduling was constructed by comprehensively considering economic and carbon benefits as optimization objectives. Finally, the rationality and effectiveness of the proposed model were verified using an IEEE 39-node system example analysis. The results showed that the dual carbon emission metering and allocation model fully utilized carbon reduction capabilities, achieving a synergy of low-carbon goals on both sides while meeting the supply-demand balance.

Electric Power Components and Systems
Hefei University of Technology (CN), State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN)
National Natural Science Foundation of China, Natural Science Foundation of Anhui Province
Climate action, Affordable and clean energy, Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Electric Power System Optimization
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Modeling Optimal Dispatch for Power Systems: Incorporating Carbon Emissions Metering and Allocation at Source and Load Sides — 苏锦勋, Tongwen Wang, et al. · Electric Power Components and Systems (2026) | TGRS Research Map | TGRS