Stochastic planning of electric vehicle charging station integrated with photovoltaic and battery systems

Autor: Chengbin Ma, Dongxiang Yan
Rok vydání: 2020
Předmět:
EV charging assignment model
business.product_category
charging service
Computer science
B8260 Other power stations and plants
EV stochastic charging behaviour
02 engineering and technology
EV charging station
Automotive engineering
law.invention
Engineering
0203 mechanical engineering
Computer Science::Systems and Control
law
Electric vehicle
0202 electrical engineering
electronic engineering
information engineering
B8410E Secondary cells
Transformer
electric vehicles
stochastic planning model
battery powered vehicles
Photovoltaic system
020302 automobile design & engineering
Sizing
distribution networks
Distributed generation
battery
transformer
stochastic processes
B8250 Solar power stations and photovoltaic power systems
Electrical Engineering
Battery (electricity)
B8120K Distributed power generation
020209 energy
battery storage plants
Energy Engineering and Power Technology
secondary cells
Charging station
distributed power generation
B8520 Transportation
Electrical and Electronic Engineering
photovoltaic power systems
Stochastic process
business.industry
electric vehicle
power grids
B8120J Distribution networks
A8630F Secondary cells
Control and Systems Engineering
B0240Z Other topics in statistics
comprehensive EV charging demand model
business
Zdroj: IET Generation, Transmission & Distribution. 14:4217-4224
ISSN: 1751-8695
1751-8687
DOI: 10.1049/iet-gtd.2019.1737
Popis: Charging stations not only provide charging service to electric vehicles (EVs), but also integrate distributed energy sources. This integration requires an appropriate planning to achieve the future sustainable distribution network. Real EV charging demand is stochastic and affected by many uncertainties, which pose challenges to the planning of a charging station. This study presents a stochastic planning model of the EV charging station with photovoltaic (PV), battery and transformer, mainly considering the uncertainties from charging demand and PV power generation. Firstly, a comprehensive EV charging demand model is established through reflecting the coupling among the EV stochastic charging behaviour, charger specifications and EV charging assignment model. Then, the planning model is formulated to minimise the total cost of the charging station, where the uncertainties arising from EV charging are addressed in various constraints. Using this model, the optimal sizing of the charging station is determined, together with the associated optimal operation strategy. Finally, the effectiveness of the proposed model is validated by multiple case studies.
Databáze: OpenAIRE
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