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Energies 2017, 10(7), 905; doi:10.3390/en10070905

Multi-Party Energy Management for Networks of PV-Assisted Charging Stations: A Game Theoretical Approach

1,* , 1
and
1,2
1
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
2
Power Distribution Department, China Electric Power Research Institute, Beijing 100192, China
*
Author to whom correspondence should be addressed.
Received: 9 May 2017 / Revised: 13 June 2017 / Accepted: 26 June 2017 / Published: 2 July 2017
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Abstract

Motivated by the development of electric vehicles (EVs), this paper addresses the energy management problem for the PV-assisted charging station (PVCS) network. An hour-ahead optimization model for the operation of PVCS is proposed, considering the profit of the PVCS, the local consumption of the photovoltaic (PV) energy and the impacts on the grid. Moreover, a two-level feasible charging region (FCR) model is built to guarantee the service quality for EVs and learning-based decision-making is designed to assist the optimization of the PVCS in various scenarios. The multi-party energy management problem, including several kinds of energy flows of the PVCS network, is formulated as a non-cooperative game. Then, the strategies of the PVCSs are modeled as the demand response (DR) activities to achieve their own optimization goals and a two-level distributed heuristic algorithm is introduced to solve the problem. The simulation results show that the economic profit of the network is increased by 6.34% compared with the common time of use (TOU) prices approach. Besides, the percentage of the PV energy in total charging load (PPTCL) and load rate are promoted by 28.93% and 0.3125, respectively, which demonstrates the validity and practicability of the proposed method. View Full-Text
Keywords: PV-assisted charging station (PVCS) network; energy management; game theory; energy purchasing PV-assisted charging station (PVCS) network; energy management; game theory; energy purchasing
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Liu, N.; Cheng, M.; Ma, L. Multi-Party Energy Management for Networks of PV-Assisted Charging Stations: A Game Theoretical Approach. Energies 2017, 10, 905.

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