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Open AccessArticle

Distributed Peer-to-Peer Electricity Trading Considering Network Loss in a Distribution System

1
School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
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Collaborative Innovation Center of Industrial Energy-saving and Power Quality Control, Anhui University, Hefei 230601, China
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School of Internet, Anhui University, Hefei 230601, China
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Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, VIC 3122, Australia
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State Grid Anhui Dispatching and Control Center, No.9 Huangshan Road, Hefei 230069, China
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Author to whom correspondence should be addressed.
Energies 2019, 12(22), 4318; https://doi.org/10.3390/en12224318
Received: 27 September 2019 / Revised: 27 October 2019 / Accepted: 7 November 2019 / Published: 13 November 2019
In this paper, a distributed peer-to-peer (P2P) electricity trading model was proposed to study economic interactions between load aggregators (LAs) and microgrid operators (MGOs) considering network losses in a distribution system. In this model, the economic interactions among market participants were formulated as a Nash bargaining game, where LAs and MGOs can bargain with each other on the trading volume of electricity and payment. To achieve the Nash bargaining solution, the game was divided into two sub-problems: social welfare maximization and payment bargaining. Then, the alternating direction method of multipliers was used to solve the two sub-problems with limited information exchange. Finally, we tested the proposed model on a 12 × 12 km2 distribution system, and the results verify its effectiveness. View Full-Text
Keywords: P2P electricity trading; microgrid; load aggregator; Nash bargaining; alternating direction method of multipliers P2P electricity trading; microgrid; load aggregator; Nash bargaining; alternating direction method of multipliers
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MDPI and ACS Style

Zhang, J.; Hu, C.; Zheng, C.; Rui, T.; Shen, W.; Wang, B. Distributed Peer-to-Peer Electricity Trading Considering Network Loss in a Distribution System. Energies 2019, 12, 4318.

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