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Open AccessArticle

Energy Market Management for Distribution Network with a Multi-Microgrid System: A Dynamic Game Approach

1
School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
2
Collaborative Innovation Center of Industrial Energy-saving and Power Quality Control, Anhui University, Hefei 230601, China
3
School of Internet, Anhui University, Hefei 230601, China
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State grid Anhui dispatching and control center, Hefei 230601, China
5
Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, VIC 3122, Australia
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(24), 5436; https://doi.org/10.3390/app9245436
Received: 21 October 2019 / Revised: 5 December 2019 / Accepted: 8 December 2019 / Published: 11 December 2019
(This article belongs to the Section Energy)
This paper proposes an energy market management framework to address the day-ahead optimization of a distribution network (DN) with a multi-microgrid (MMG). In this framework, an economic optimization based on a dynamic game is designed to ensure the reliability and stability of the DN operation while setting the internal transaction price to minimize the operation cost of the distribution network operator (DNO). The DNO, as a leader, sets the power flow constraints and microgrid operators (MGOs), as followers, respond to the internal transaction price and in turn affect the DNO’s price decision. The price incentive mechanism of the DNO is to encourage MGs to participate in energy market management, to promote joint operation of MGs and to reduce the operation cost of MGOs. The differential evolution algorithm and mixed integer programming method are applied to find the equilibrium solution to the dynamic game. Numerical simulations of a modified IEEE 33-bus system show the effectiveness of the proposed energy market management framework. View Full-Text
Keywords: distribution network; multi-microgrid; economic optimization; dynamic game; transaction price distribution network; multi-microgrid; economic optimization; dynamic game; transaction price
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MDPI and ACS Style

Tong, X.; Hu, C.; Zheng, C.; Rui, T.; Wang, B.; Shen, W. Energy Market Management for Distribution Network with a Multi-Microgrid System: A Dynamic Game Approach. Appl. Sci. 2019, 9, 5436.

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