Hierarchical Game for Electric Vehicle Public Charging Market

Yu, Yue; Song, Tiecheng; Su, Chunxia; Tang, Xiao; Han, Zhu

doi:10.1109/smartgridcomm.2019.8909797

Cited by 3 publications

(1 citation statement)

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“…A concept from cooperative games theory, namely, the Nash bargaining solution, is used to allocate profits among the charging service providers and the electrical distribution company. In Reference [102], a pricing mechanism for charging electric vehicles and the allocation of electric vehicles among charging stations are modeled as a bi-level optimization problem. In the upper level, a coordinate descent optimization algorithm is used to define a time-based pricing mechanism of charging in different stations.…”

Section: Ev Charging Stationsmentioning

confidence: 99%

Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review

et al. 2020

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In this work, we review papers that employ game theoretic tools to study the operation and design of modern electric grids. We consider four topics in this context: energy trading, energy balancing, grid planning, and system reliability, and we demonstrate the advantages of using game-theoretic approaches for analyzing complex interactions among independent players. The results and conclusions provide insights regarding many aspects of design and operation, such as efficient methodologies for expansion planning, cyber-security, and frequency stability, or fair-benefit allocation among players. A central conclusion is that modeling the system from the perspective of one entity with unlimited information and control span is often impractical, so correct modeling of the selfish behavior of independent players may be critical for the development of future power systems. Another conclusion is that correct usage of incentives by appropriate regulation or sophisticated pricing mechanisms may improve the social welfare, and, in several cases, the results obtained are as good as those obtained by central planning. Using an extensive content analysis, we point to several trends in the current research and attempt to identify the research directions that are currently at the focus of the community.

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Section: Ev Charging Stationsmentioning

confidence: 99%

Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review

et al. 2020

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Online Routing and Charging Schedule of Electric Vehicles With Uninterrupted Charging Rates

Cao

2022

IEEE Access

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With the development of electric vehicle technology and the Internet of Things (IoT) technology, IoT-Based electric vehicles (IoEVs) will become a main public transposition in smart city. The increasing penetration of IoEV will have a great impact on the transportation network and power grid. In this work, we aim to study the routing and charging scheduling problem of IoEVs with the constraint of power limit. This paper proposes a clustered rolling framework and a mathematical model for the IoEVs optimal routing and charging problem to minimize the waiting time of customers and get a good converge ratio of the energy block with power limit. This framework can effectively deal with the multi-step pickup and delivery of each vehicle over the time horizon in a dynamic environment. We give a criterion to judge whether pickup and delivery tasks can be assigned to the IoEV. Then, we design a new rectangle packing method for IoEV charging dispatch with the constraint of power limit. Moreover, we consider that the charging process of IoEVs cannot be interrupted before IoEVs meet the electricity demand. We propose the IoEV Routing and Charging Algorithm and analyze its computational complexity. Simulation results show that IoEVs can offer the shuttle service to customers with the minimum waiting time and IoEV charging energy block has a good coverage ratio of the total energy block. Simulation results can verify the effectiveness of our proposed framework, compared with two benchmark algorithms.INDEX TERMS IoT-Based electric vehicle, clustered rolling framework, pickup and delivery, routing and charging, rectangle packing algorithm.

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