Electric Vehicle Charging and Batteries Swapping Management Strategy with Photovoltaic Generation in Business Districts

Liu, Yuan; Yang, Jun; Wang, Yang; Chai, Yufeng; Xu, Jian

doi:10.1080/15325008.2019.1627609

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…At present, only four universities, such as Iowa State University, have developed their own real‐time hybrid simulation platform schemes, which are mainly used for the related applications of micro‐networks and low/medium voltage distribution networks, as well as the related analysis of power communication network attacks. The world's first power grid small step real‐time simulator has been developed by the CEPRI [51]. It can support adaptive variable‐step simulation requirements of at least 10 microseconds.…”

Section: Key Technologies Of Cyber‐physical Power Systems Simulationmentioning

confidence: 99%

Review on the key technologies of power grid cyber‐physical systems simulation

Lin

Rehtanz

Wang

et al. 2023

IET Cyber-Phy Sys Theory & Ap

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A Cyber‐Physical System (CPS) is a spatiotemporal multi‐dimensional and heterogeneous hybrid autonomous system composed of deep integration of information resources and physical systems. With the development of digitisation and digitalisation, a large number of data acquisition equipment, computing equipment, and electrical equipment are interconnected between the power grid and the information communication network. The power grid has thus been restructured as a mature and highly complex CPS. In order to promote the development of power grid CPS technologies and provide a reference for relevant researchers in the field, the origin and concept of CPS and features in power grid CPS are introduced firstly. Then the key technologies of power grid CPS simulation are discussed and further analysed from three perspectives, including modelling theory, simulation methods, and system‐level simulation. On this basis, the application of CPS simulation technology in future power grids has been prospected.

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Section: Key Technologies Of Cyber‐physical Power Systems Simulationmentioning

confidence: 99%

Review on the key technologies of power grid cyber‐physical systems simulation

Lin

Rehtanz

Wang

et al. 2023

IET Cyber-Phy Sys Theory & Ap

View full text Add to dashboard Cite

show abstract

“…In [32][33][34][35], a BS station was considered as a battery aggregator in an area and significantly improved the local consumption of RPG. In [36][37][38], BS and G2V modes were coordinated satisfied EV users' requirements and maintained the normal operation of the power grid. A BS station with lots of batteries is considered as a flexible resource with sufficient capacity.…”

Section: Introductionmentioning

confidence: 99%

An Electric Vehicle Charging Method Considering Multiple Power Exchange Modes’ Coordination

et al. 2023

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To achieve sustainable environmental development, numerous countries and governments have been vigorously promoting the proliferation of electric vehicles (EVs) through a series of policy measures and economic subsidies. With the increasing number of EVs, multiple EV charging modes are being researched to satisfy owners’ requirements. In this paper, an EV charging method considering multiple power exchange modes’ coordination is proposed for meeting owners’ requirements with cost-effectiveness. In the proposed method, the battery swapping (BS) station, building-to-vehicle (B2V) station, and grid-to-vehicle (G2V) station are considered. In G2V stations, EVs charge from the power grid. In B2V stations, distributed renewable energy generation is considered as the energy provider. This study contemplates the use of photovoltaic power systems in B2V stations for the charging of EVs. In BS stations, the power exchange among batteries and the power grid is considered. The battery energy storage is utilized for reducing the battery degradation cost (BDC) and power cost. EVs are dispatched to the corresponding charging stations according to the electric price, BDC, and so on. In the dispatching process, the particle swarm optimization (PSO) algorithm and Hungarian algorithm are applied. Several case studies are presented to validate the effectiveness of the proposed method and the power matching between EVs and charging modes is discussed.

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