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
On-line přístup:	Získat plný text
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