Collaborative multi‐aggregator electric vehicle charge scheduling with PV‐assisted charging stations under variable solar profiles

Autor: Vishu Gupta, Srikanth Reddy Konda, Rajesh Kumar, Bijaya Ketan Panigrahi
Rok vydání: 2020
Předmět:
electric vehicle charging
business.product_category
Computer Networks and Communications
Computer science
battery storage plants
collaborative multiaggregator electric vehicle charge scheduling
battery storage
computer.software_genre
Automotive engineering
News aggregator
Scheduling (computing)
Electric vehicle
smart grid platform
profitability
pv-assisted charging stations
Electrical and Electronic Engineering
power generation economics
ev station
bs
variable solar profiles
photovoltaic power systems
internal combustion engine vehicles
power grids
Grid
Smart grid
Internal combustion engine
pv energy
solar power stations
power generation scheduling
pvcs
Profitability index
Battery storage
battery energy
lcsh:Electrical engineering. Electronics. Nuclear engineering
business
lcsh:TK1-9971
computer
ev charging management integration
Information Systems
Zdroj: IET Smart Grid (2019)
ISSN: 2515-2947
Popis: Electric vehicles (EVs) are on the path to becoming a solution to the emissions released by the internal combustion engine vehicles that are on the road. EV charging management integration requires a smart grid platform that allows for communication and control between the aggregator, consumer and grid. This study presents an operational strategy for PV-assisted charging stations (PVCSs) that allows the EV to be charged primarily by PV energy, followed by the EV station's battery storage (BS) and the grid. Multi-Aggregator collaborative scheduling is considered that includes a monetary penalty on the aggregator for any unscheduled EVs. The impact of the PVCS is compared to the case with no PV/BS is included. A variation in the PV profile is included in the evaluation to assess its impact on total profits. Profit results are compared in cases of minimum, average and maximum PV energy output. The results indicate that the inclusion of penalties due to unscheduled EVs resulted in lowered profits. Further, the profits experienced an increase as the number of EVs scheduled through PV/BS increased, implying that a lesser percentage of EVs are scheduled by the grid when a greater amount of PV and battery energy are available.
Databáze: OpenAIRE
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