Distributed Peer-to-Peer Electricity Trading Considering Network Loss in a Distribution System
Jin Zhang,
Cungang Hu,
Changbao Zheng,
Tao Rui,
Weixiang Shen and
Bo Wang
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Jin Zhang: School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
Cungang Hu: School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
Changbao Zheng: School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
Tao Rui: Collaborative Innovation Center of Industrial Energy-saving and Power Quality Control, Anhui University, Hefei 230601, China
Weixiang Shen: Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, VIC 3122, Australia
Bo Wang: State Grid Anhui Dispatching and Control Center, No.9 Huangshan Road, Hefei 230069, China
Energies, 2019, vol. 12, issue 22, 1-18
Abstract:
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 km 2 distribution system, and the results verify its effectiveness.
Keywords: P2P electricity trading; microgrid; load aggregator; Nash bargaining; alternating direction method of multipliers (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
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