Optimal Peer-to-Peer Coupled Electricity and Carbon Trading in Distribution Networks

The surge of distributed renewable energy resources has given rise to the emergence of prosumers, facilitating the low-carbon transition of distribution networks. However, flexible prosumers introduce bidirectional power and carbon interaction, increasing the complexity of practical decision-making in distribution networks. To address these challenges, this paper presents a carbon-coupled network charge-guided bi-level interactive optimization method between the distribution system operator and prosumers. In the upper level, a carbon-emission responsibility settlement method that incorporates the impact of peer-to-peer (P2P) trading is proposed, based on a carbon-emission flow model and optimal power flow model, leading to the formulation of carbon-coupled network charges. In the lower level, a decentralized P2P trading mechanism is developed to achieve the clearing of energy and carbon-emission rights. Furthermore, an alternating direction method of multipliers with an adaptive penalty factor is introduced to address the equilibrium of the P2P electricity–carbon coupled market, and an improved bisection method is employed to ensure the convergence of the bi-level interaction. A case study on the modified IEEE 33-bus system demonstrates the effectiveness of the proposed model and methodology.

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Publication Details

Journal
Engineering
Published
2025-01-23
DOI
https://doi.org/10.1016/j.eng.2025.01.006
Citations
4
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
2.92

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article

Optimal Peer-to-Peer Coupled Electricity and Carbon Trading in Distribution Networks

Yue Xiang, Huangqi Ma, Shuangqi Li, Junyong Liu et al.
4 citations
Engineering
Smart Grid Energy Management
2.92
article

Optimal Peer-to-Peer Coupled Electricity and Carbon Trading in Distribution Networks

Yue Xiang, Huangqi Ma, Shuangqi Li, Junyong Liu, Alexis Pengfei Zhao
article en
4 citations

Abstract

The surge of distributed renewable energy resources has given rise to the emergence of prosumers, facilitating the low-carbon transition of distribution networks. However, flexible prosumers introduce bidirectional power and carbon interaction, increasing the complexity of practical decision-making in distribution networks. To address these challenges, this paper presents a carbon-coupled network charge-guided bi-level interactive optimization method between the distribution system operator and prosumers. In the upper level, a carbon-emission responsibility settlement method that incorporates the impact of peer-to-peer (P2P) trading is proposed, based on a carbon-emission flow model and optimal power flow model, leading to the formulation of carbon-coupled network charges. In the lower level, a decentralized P2P trading mechanism is developed to achieve the clearing of energy and carbon-emission rights. Furthermore, an alternating direction method of multipliers with an adaptive penalty factor is introduced to address the equilibrium of the P2P electricity–carbon coupled market, and an improved bisection method is employed to ensure the convergence of the bi-level interaction. A case study on the modified IEEE 33-bus system demonstrates the effectiveness of the proposed model and methodology.

EngineeringVol. 51
Hong Kong Polytechnic University (HK), Sichuan University (CN), Stanford Medicine (US), Stanford University (US)
Innovative Research Group Project of the National Natural Science Foundation of China
Openalex Percentile: Top 10%
Smart Grid Energy Management
2.92
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