Carbon Emission Accounting Method Based on Power Flow Tracing Considering Green Electricity Trading

Rongfu Sun; Zhenjiang Shi; Yueyao Zhou; Tianbo Zhu; Qinzhe Liu; Zesen Wang; Yunpeng Xiao

doi:10.1109/CIEEC69682.2026.11572232

Carbon Emission Accounting Method Based on Power Flow Tracing Considering Green Electricity Trading

Rongfu Sun
, Zhenjiang Shi
, Yueyao Zhou
, Tianbo Zhu
, Qinzhe Liu
, Zesen Wang
, Yunpeng Xiao

Ltd.
School of Electrical Engineering
State Grid Jibei Electric Power Co. Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a carbon emission accounting (CEA) method based on power flow tracing that incorporates green electricity trading (GET). Renewable energy and loads participating in GET are connected via virtual green-power direct links, establishing virtual transmission lines within the power network. Two approaches - localized power flow change (LPFC) and power flow redistribution(PFR) - are then employed to calculate the carbon intensity of each transmission line and load after accounting for GET. An illustrative case study is conducted using a five-node system, and the characteristics of the two methods are analyzed from perspectives such as the CEA balance between generation and consumption, as well as the rationality of carbon emission responsibility allocation on the demand side. The results indicate that the accounting outcomes derived from LPFC exhibit greater rationality in carbon emission responsibility allocation.

Original language	English
Title of host publication	Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2590-2595
Number of pages	6
ISBN (Electronic)	9798331549558
DOIs	https://doi.org/10.1109/CIEEC69682.2026.11572232
State	Published - 2026
Externally published	Yes
Event	9th International Electrical and Energy Conference, CIEEC 2026 - Tianjin, China Duration: 15 May 2026 → 17 May 2026

Publication series

Name	Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026

Conference

Conference	9th International Electrical and Energy Conference, CIEEC 2026
Country/Territory	China
City	Tianjin
Period	15/05/26 → 17/05/26

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

carbon emission accounting
green electricity trading
power flow tracing
virtual green-power direct link

Access to Document

10.1109/CIEEC69682.2026.11572232

Cite this

Sun, R., Shi, Z., Zhou, Y., Zhu, T., Liu, Q., Wang, Z., & Xiao, Y. (2026). Carbon Emission Accounting Method Based on Power Flow Tracing Considering Green Electricity Trading. In Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026 (pp. 2590-2595). (Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIEEC69682.2026.11572232

Sun, Rongfu ; Shi, Zhenjiang ; Zhou, Yueyao et al. / Carbon Emission Accounting Method Based on Power Flow Tracing Considering Green Electricity Trading. Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026. Institute of Electrical and Electronics Engineers Inc., 2026. pp. 2590-2595 (Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026).

@inproceedings{07a25f68950848b99d980869de748fa5,

title = "Carbon Emission Accounting Method Based on Power Flow Tracing Considering Green Electricity Trading",

abstract = "This paper proposes a carbon emission accounting (CEA) method based on power flow tracing that incorporates green electricity trading (GET). Renewable energy and loads participating in GET are connected via virtual green-power direct links, establishing virtual transmission lines within the power network. Two approaches - localized power flow change (LPFC) and power flow redistribution(PFR) - are then employed to calculate the carbon intensity of each transmission line and load after accounting for GET. An illustrative case study is conducted using a five-node system, and the characteristics of the two methods are analyzed from perspectives such as the CEA balance between generation and consumption, as well as the rationality of carbon emission responsibility allocation on the demand side. The results indicate that the accounting outcomes derived from LPFC exhibit greater rationality in carbon emission responsibility allocation.",

keywords = "carbon emission accounting, green electricity trading, power flow tracing, virtual green-power direct link",

author = "Rongfu Sun and Zhenjiang Shi and Yueyao Zhou and Tianbo Zhu and Qinzhe Liu and Zesen Wang and Yunpeng Xiao",

note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 9th International Electrical and Energy Conference, CIEEC 2026 ; Conference date: 15-05-2026 Through 17-05-2026",

year = "2026",

doi = "10.1109/CIEEC69682.2026.11572232",

language = "英语",

series = "Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2590--2595",

booktitle = "Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026",

}

Sun, R, Shi, Z, Zhou, Y, Zhu, T, Liu, Q, Wang, Z & Xiao, Y 2026, Carbon Emission Accounting Method Based on Power Flow Tracing Considering Green Electricity Trading. in Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026. Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026, Institute of Electrical and Electronics Engineers Inc., pp. 2590-2595, 9th International Electrical and Energy Conference, CIEEC 2026, Tianjin, China, 15/05/26. https://doi.org/10.1109/CIEEC69682.2026.11572232

Carbon Emission Accounting Method Based on Power Flow Tracing Considering Green Electricity Trading. / Sun, Rongfu; Shi, Zhenjiang; Zhou, Yueyao et al.
Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026. Institute of Electrical and Electronics Engineers Inc., 2026. p. 2590-2595 (Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Carbon Emission Accounting Method Based on Power Flow Tracing Considering Green Electricity Trading

AU - Sun, Rongfu

AU - Shi, Zhenjiang

AU - Zhou, Yueyao

AU - Zhu, Tianbo

AU - Liu, Qinzhe

AU - Wang, Zesen

AU - Xiao, Yunpeng

PY - 2026

Y1 - 2026

N2 - This paper proposes a carbon emission accounting (CEA) method based on power flow tracing that incorporates green electricity trading (GET). Renewable energy and loads participating in GET are connected via virtual green-power direct links, establishing virtual transmission lines within the power network. Two approaches - localized power flow change (LPFC) and power flow redistribution(PFR) - are then employed to calculate the carbon intensity of each transmission line and load after accounting for GET. An illustrative case study is conducted using a five-node system, and the characteristics of the two methods are analyzed from perspectives such as the CEA balance between generation and consumption, as well as the rationality of carbon emission responsibility allocation on the demand side. The results indicate that the accounting outcomes derived from LPFC exhibit greater rationality in carbon emission responsibility allocation.

AB - This paper proposes a carbon emission accounting (CEA) method based on power flow tracing that incorporates green electricity trading (GET). Renewable energy and loads participating in GET are connected via virtual green-power direct links, establishing virtual transmission lines within the power network. Two approaches - localized power flow change (LPFC) and power flow redistribution(PFR) - are then employed to calculate the carbon intensity of each transmission line and load after accounting for GET. An illustrative case study is conducted using a five-node system, and the characteristics of the two methods are analyzed from perspectives such as the CEA balance between generation and consumption, as well as the rationality of carbon emission responsibility allocation on the demand side. The results indicate that the accounting outcomes derived from LPFC exhibit greater rationality in carbon emission responsibility allocation.

KW - carbon emission accounting

KW - green electricity trading

KW - power flow tracing

KW - virtual green-power direct link

UR - https://www.scopus.com/pages/publications/105044597568

U2 - 10.1109/CIEEC69682.2026.11572232

DO - 10.1109/CIEEC69682.2026.11572232

M3 - 会议稿件

AN - SCOPUS:105044597568

T3 - Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026

SP - 2590

EP - 2595

BT - Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Electrical and Energy Conference, CIEEC 2026

Y2 - 15 May 2026 through 17 May 2026

ER -

Sun R, Shi Z, Zhou Y, Zhu T, Liu Q, Wang Z et al. Carbon Emission Accounting Method Based on Power Flow Tracing Considering Green Electricity Trading. In Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026. Institute of Electrical and Electronics Engineers Inc. 2026. p. 2590-2595. (Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026). doi: 10.1109/CIEEC69682.2026.11572232

Carbon Emission Accounting Method Based on Power Flow Tracing Considering Green Electricity Trading

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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