Distributed transactive energy trading framework in distribution networks

In this paper, we propose a novel transactive energy trading (TET) framework to deal with the economic issues in energy trading and the technical issues in distribution system operation in a holistic manner. In particular, we innovatively integrate a bilateral energy trading mechanism with the optim...

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Vydáno v:IEEE transactions on power systems Ročník 33; číslo 6; s. 7215 - 7227
Hlavní autoři: Jiayong Li, Chaorui Zhang, Zhao Xu, Jianhui Wang, Jian Zhao, Zhang, Ying-Jun Angela
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
alternating direction method of multipliers
bilateral energy trading
Computing time
distributed algorithm
Distributed algorithms
Distribution management
distribution networks
Electronic equipment tests
Energy distribution
Mathematical models
Nash bargaining
photovoltaic system
Photovoltaic systems
Power flow
Power system economics
Reactive power
System effectiveness
Systems operation
Transactive energy
ISSN:0885-8950, 1558-0679
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Shrnutí:In this paper, we propose a novel transactive energy trading (TET) framework to deal with the economic issues in energy trading and the technical issues in distribution system operation in a holistic manner. In particular, we innovatively integrate a bilateral energy trading mechanism with the optimal power flow (OPF) technique to increase economic benefits to individual participants, and meanwhile ensure the reliability and security of the system operation. In order to resolve the inherent conflict of interests, Nash bargaining theory is used to model the TET problem, which is further decomposed into a multiperiod OPF problem and a payment bargaining problem. Moreover, we develop an efficient distributed algorithm for solving the TET problem base on alternating direction method of multipliers (ADMM). Instead of directly solving optimization subproblems like most ADMM-based distributed algorithms, we derive closed-form solutions to all subproblems to significantly improve the computational efficiency. Finally, numerical tests on the IEEE 37-bus and 123-bus distribution systems demonstrate the effectiveness of our proposed framework and the efficiency of our distributed algorithm.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2018.2854649