A GSDF-Based Renewable Energy Carbon Emission Reduction Calculation Method Considering Network Losses

Yuanqian Ma; Xueyan Liang; Huan Xu; Kun Chen; Jinai Zhang; Xingli Zhai; Zhenzhi Lin; Peter Xiaoping Liu

doi:10.1049/ses2.70031

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A GSDF-Based Renewable Energy Carbon Emission Reduction Calculation Method Considering Network Losses

更新时间：2026-06-24

- A GSDF-Based Renewable Energy Carbon Emission Reduction Calculation Method Considering Network Losses
- A GSDF-Based Renewable Energy Carbon Emission Reduction Calculation Method Considering Network Losses
- IET Smart Energy Systems 2026年2卷第2期
- 作者机构：
  
  1. School of Information Science and Engineering, Zhejiang Sci-Tech University,Hangzhou,China
  2. School of Electrical Engineering, Zhejiang University,Hangzhou,China
  3. Contribution: Conceptualization, Methodology, Data curation, Resources, Writing - review & editing, Validation, Writing - original draft, Formal analysis, Funding acquisition
  4. Contribution: Conceptualization, Methodology, Formal analysis, Writing - review & editing
  5. College of Electrical and Information Engineering, Hunan University,Changsha,China
  6. Contribution: Conceptualization, Methodology, Software, Writing - review & editing, Writing - original draft
  7. Contribution: Conceptualization, Investigation, Methodology, Writing - review & editing
  8. State Grid Hefei Electric Power Supply Company,Hefei,China
  9. Contribution: Investigation, Methodology, Validation, Writing - original draft
  10. Jinan Power Supply Company, State Grid Shandong Electric Power Corporation Limited,Jinan,China
  11. Contribution: Investigation, Conceptualization, Writing - review & editing, Data curation
  12. Contribution: Conceptualization, Methodology, Data curation, Writing - review & editing, Writing - original draft
  13. Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario,Canada
- 作者简介：
- 基金信息：
- DOI：10.1049/ses2.70031
  中图分类号：
- 纸质出版：2026
- 稿件说明：
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Yuanqian Ma, Xueyan Liang, Huan Xu, 等. A GSDF-Based Renewable Energy Carbon Emission Reduction Calculation Method Considering Network Losses[J]. IET Smart Energy Systems, 2026,2(2).

Yuanqian Ma, Xueyan Liang, Huan Xu, et al. A GSDF-Based Renewable Energy Carbon Emission Reduction Calculation Method Considering Network Losses[J]. IET Smart Energy Systems, 2026, 2(2).
Yuanqian Ma, Xueyan Liang, Huan Xu, 等. A GSDF-Based Renewable Energy Carbon Emission Reduction Calculation Method Considering Network Losses[J]. IET Smart Energy Systems, 2026,2(2). DOI： 10.1049/ses2.70031.

Yuanqian Ma, Xueyan Liang, Huan Xu, et al. A GSDF-Based Renewable Energy Carbon Emission Reduction Calculation Method Considering Network Losses[J]. IET Smart Energy Systems, 2026, 2(2). DOI： 10.1049/ses2.70031.

摘要

Abstract

Accurately quantifying the carbon emission reduction (CER) of renewable energy (RE) is crucial for the coupled electricity-carbon market. However

traditional methods based on regional average emission factors ignore topological constraints and transmission losses causing systematic biases in evaluating RE's environmental value. To address this

this paper proposes a high-precision physics-based CER accounting framework integrating topological sensitivity mapping with bidirectional network loss allocation. First

an improved generation shift distribution factor (GSDF)-based marginal emission factor model is established to overcome geographical blindness and precisely identify specific high-carbon marginal units displaced by RE. Second

upstream and downstream power flow tracing algorithms are utilised to bidirectionally allocate network losses

equitably attributing carbon emissions embedded in dissipated energy. Third

a virtual lossless network is reconstructed and RE is treated as a negative virtual load

through which the precise displacement pathways from marginal units to RE nodes are rigorously mapped. Case studies on a regional power grid in Zhejiang

China

demonstrate that the proposed framework successfully corrects systematic underestimations providing a highly credible pricing benchmark for green certificates and carbon assets.

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