Opportunistic Energy Sharing Between Power Grid and Electric Vehicles: A Game Theory-Based Pricing Policy

Sarker, Ankur; Li, Zhuozhao; Kolodzey, William; Shen, Haiying

doi:10.1109/icdcs.2017.219

Cited by 19 publications

(9 citation statements)

References 26 publications

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“…Wen et al [48] proposed the application of the convex relaxation optimization method to solve the EV charging selection problem and then developed a distributed optimization algorithm to solve this problem in a decentralized manner. Reference [35] presented a distributed power schedule framework based on the Game Theory to obtain an optimal schedule for online EVs. These works are based on small-scale data and theoretical models, which are difficult to capture the dynamics of real-world large-scale EVs operating and charging patterns.…”

Section: Decentralized Schedulingmentioning

confidence: 99%

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Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses

Wang

Fang

Xie

et al. 2020

ACM Trans. Intell. Syst. Technol.

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We are witnessing a rapid growth of electrified vehicles due to the ever-increasing concerns on urban air quality and energy security. Compared to other types of electric vehicles, electric buses have not yet been prevailingly adopted worldwide due to their high owning and operating costs, long charging time, and the uneven spatial distribution of charging facilities. Moreover, the highly dynamic environment factors such as unpredictable traffic congestion, different passenger demands, and even the changing weather can significantly affect electric bus charging efficiency and potentially hinder the further promotion of large-scale electric bus fleets. To address these issues, in this article, we first analyze a real-world dataset including massive data from 16,359 electric buses, 1,400 bus lines, and 5,562 bus stops. Then, we investigate the electric bus network to understand its operating and charging patterns, and further verify the necessity and feasibility of a real-time charging scheduling. With such understanding, we design busCharging , a pricing-aware real-time charging scheduling system based on Markov Decision Process to reduce the overall charging and operating costs for city-scale electric bus fleets, taking the time-variant electricity pricing into account. To show the effectiveness of busCharging , we implement it with the real-world data from Shenzhen, which includes GPS data of electric buses, the metadata of all bus lines and bus stops, combined with data of 376 charging stations for electric buses. The evaluation results show that busCharging dramatically reduces the charging cost by 23.7% and 12.8% of electricity usage simultaneously. Finally, we design a scheduling-based charging station expansion strategy to verify our busCharging is also effective during the charging station expansion process.

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Section: Decentralized Schedulingmentioning

confidence: 99%

“…Many works have been done on reducing the charging costs for e-taxis and e-pvs [6,24,39], and some other works [2,8,26,35,36,49,50] have built the theoretical models and simulations for e-buses. However, few works have been conducted on the data-driven modeling and optimization for real-world e-bus fleets charging.…”

Section: Introductionmentioning

confidence: 99%

Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses

Wang

Fang

Xie

et al. 2020

ACM Trans. Intell. Syst. Technol.

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show abstract

“…Accommodate renewables Solar [34][35][36][37][38][39][40] Wind [41][42][43] Hydrogen [44][45][46] Enhance efficiency Smart building [37,[47][48][49] Microgrid [32,[50][51][52] Integrated energy [44,46,[53][54][55] Reduce backups Battery [38,39,[56][57][58][59][60][61] Electric vehicle [62][63][64]…”

Section: Objectives Scenarios Referencesmentioning

confidence: 99%

“…For mobile storage, the potential of energy sharing was revealed by a case study in California [62]. Game-theoretic approaches were taken to price shared energy between the grid and EVs [63]. Blockchain technology can also facilitate energy sharing among EVs [64].…”

Section: Taskrabbit Zaarlymentioning

confidence: 99%

Review of energy sharing: Business models, mechanisms, and prospects

Chen

Zhao

2022

IET Renewable Power Gen

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The development of distributed generation technology is endowing consumers the ability to produce energy and transforming them into "prosumers". This transformation shall improve energy efficiency and pave the way to a low-carbon future. However, it also exerts critical challenges on system operations, such as the wasted backups for volatile renewable generation and the difficulty to predict behaviour of prosumers with conflicting interests and privacy concerns. An emerging business model to tackle these challenges is energy sharing, whose concepts, structures, applications, models, and designs are thoroughly reviewed in this paper, with an outlook of future research to better realise its potentials.

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“…For mobile storage, the potential of energy sharing was revealed by a case study in California [58]. Game-theoretic approaches were taken to price shared energy between the grid and EVs [59]. Blockchain technology can also facilitate energy sharing among EVs [60].…”

Section: B Applicationsmentioning

confidence: 99%

Peer-to-Peer Energy Sharing: A New Business Model Towards a Low-Carbon Future

Chen,

Zhao

2021

Preprint

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The development of distributed generation technology is endowing consumers the ability to produce energy and transforming them into "prosumers". This transformation shall improve energy efficiency and pave the way to a low-carbon future. However, it also exerts critical challenges on system operations, such as the wasted backups for volatile renewable generation and the difficulty to predict behavior of prosumers with conflicting interests and privacy concerns. An emerging business model to tackle these challenges is peer-to-peer energy sharing, whose concepts, structures, applications, models, and designs are thoroughly reviewed in this paper, with an outlook of future research to better realize its potentials.

show abstract

Opportunistic Energy Sharing Between Power Grid and Electric Vehicles: A Game Theory-Based Pricing Policy

Cited by 19 publications

References 26 publications

Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses

Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses

Review of energy sharing: Business models, mechanisms, and prospects

Peer-to-Peer Energy Sharing: A New Business Model Towards a Low-Carbon Future

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