Day‐ahead charging operation of electric vehicles with on‐site renewable energy resources in a mixed integer linear programming framework

The large‐scale penetration of electric vehicles (EVs) into the power system will provoke new challenges needed to be handled by distribution system operators (DSOs). Demand response (DR) strategies play a key role in facilitating the integration of each new asset into the power system. With the aid...

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Vydáno v:IET smart grid Ročník 3; číslo 3; s. 367 - 375
Hlavní autoři: Şengör, İbrahim, Erenoğlu, Ayşe Kübra, Erdinç, Ozan, Taşcıkaraoğlu, Akın, Catalão, João P.S.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Durham The Institution of Engineering and Technology 01.06.2020
John Wiley & Sons, Inc
Wiley
Témata:
Alternative energy sources
Approximation
arrival time
B0260 Optimisation techniques
B8110B Power system management, operation and economics
B8250 Solar power stations and photovoltaic power systems
B8260 Other power stations and plants
B8520 Transportation
battery storage plants
daily solar irradiation data
day-ahead charging operation
demand response strategies
Demand side management
different aggregators
distribution system operators
DR strategies
DSOs
Electric power systems
Electric vehicle charging
Electric vehicles
Electricity
Emissions
Energy distribution
Energy efficiency
Energy management
Energy sources
Environmental impact
EV parking lots
EVPLs
Facilities planning
Greenhouse gases
Integer programming
large-scale penetration
Linear programming
Mixed integer
mixed integer linear programming framework
on-site renewable energy resources
operational flexibility
Peak load
peak load limitation
peak load limitation based DR strategies
Photovoltaic cells
photovoltaic power systems
PLL
power generation scheduling
power system
pricing
PV generation
related EV owners
related EVPL
Renewable resources
scenario-based approach
Smart grid
smart grid paradigm
smart power grids
Solar radiation
state-of-energy
Variables
ISSN:2515-2947, 2515-2947
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Shrnutí:The large‐scale penetration of electric vehicles (EVs) into the power system will provoke new challenges needed to be handled by distribution system operators (DSOs). Demand response (DR) strategies play a key role in facilitating the integration of each new asset into the power system. With the aid of the smart grid paradigm, a day‐ahead charging operation of large‐scale penetration of EVs in different regions that include different aggregators and various EV parking lots (EVPLs) is propounded in this study. Moreover, the uncertainty of the related EV owners, such as the initial state‐of‐energy and the arrival time to the related EVPL, is taken into account. The stochasticity of PV generation is also investigated by using a scenario‐based approach related to daily solar irradiation data. Last but not least, the operational flexibility is also taken into consideration by implementing peak load limitation (PLL) based DR strategies from the DSO point of view. To reveal the effectiveness of the devised scheduling model, it is performed under various case studies that have different levels of PLL, and for the cases with and without PV generation.
Bibliografie:ObjectType-Article-1
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ISSN:2515-2947
2515-2947
DOI:10.1049/iet-stg.2019.0282