Supply Function Game Based Energy Management Between Electric Vehicle Charging Stations and Electricity Distribution System Considering Quality of Service

In recent years, electric vehicle charging stations (EVCSs) have been deployed very fast, which offer a platform for the energy coordination between electric vehicles (EVs) and the electricity distribution system (DS). This paper presents an energy management method for the operation of EVCSs and DS...

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Published inIEEE transactions on industry applications Vol. 56; no. 5; pp. 5932 - 5943
Main Authors Li, Yuanzheng, Ni, Zhixian, Zhao, Tianyang, Zhong, Tianwei, Liu, Yun, Wu, Lei, Zhao, Yong
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Computer simulation
Constraints
Electric power distribution
Electric vehicle charging
Electric vehicles
Electric vehicles charging stations
electricity distribution system
Energy management
equilibrium
Evolutionary algorithms
Evolutionary computation
Game theory
Games
Optimization
Quality of service
Sociology
Stations
Statistics
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Abstract In recent years, electric vehicle charging stations (EVCSs) have been deployed very fast, which offer a platform for the energy coordination between electric vehicles (EVs) and the electricity distribution system (DS). This paper presents an energy management method for the operation of EVCSs and DS while considering their interaction. In this method, we first use a quality-of-service constrained decision model for EVCSs, which is formulated based on the network calculus theory. Then, the DS aims to maximize its utility by scheduling charging plans for EVCSs. Afterwards, a game based on the supply function equilibrium (SFE) model is adopted to analyze the energy interaction, in which each EVCS is regarded as the leader, and the DS as the follower. In this way, an optimization problem with equilibrium constraints is established. Moreover, a hybrid optimization algorithm based on differential evolution and interior point method is used to obtain the equilibrium solution of the SFE game. Finally, simulation studies verify the effectiveness of proposed interactive energy management method.
AbstractList In recent years, electric vehicle charging stations (EVCSs) have been deployed very fast, which offer a platform for the energy coordination between electric vehicles (EVs) and the electricity distribution system (DS). This paper presents an energy management method for the operation of EVCSs and DS while considering their interaction. In this method, we first use a quality-of-service constrained decision model for EVCSs, which is formulated based on the network calculus theory. Then, the DS aims to maximize its utility by scheduling charging plans for EVCSs. Afterwards, a game based on the supply function equilibrium (SFE) model is adopted to analyze the energy interaction, in which each EVCS is regarded as the leader, and the DS as the follower. In this way, an optimization problem with equilibrium constraints is established. Moreover, a hybrid optimization algorithm based on differential evolution and interior point method is used to obtain the equilibrium solution of the SFE game. Finally, simulation studies verify the effectiveness of proposed interactive energy management method.
Author Zhao, Tianyang
Ni, Zhixian
Zhao, Yong
Li, Yuanzheng
Zhong, Tianwei
Liu, Yun
Wu, Lei
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Snippet In recent years, electric vehicle charging stations (EVCSs) have been deployed very fast, which offer a platform for the energy coordination between electric...
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SubjectTerms Computer simulation
Constraints
Electric power distribution
Electric vehicle charging
Electric vehicles
Electric vehicles charging stations
electricity distribution system
Energy management
equilibrium
Evolutionary algorithms
Evolutionary computation
Game theory
Games
Optimization
Quality of service
Sociology
Stations
Statistics
Title Supply Function Game Based Energy Management Between Electric Vehicle Charging Stations and Electricity Distribution System Considering Quality of Service
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