Energy Management Strategy for Electric Vehicles and Connected Renewable Energy Systems in a Micro Grid Environment of a University Campus

Bedatri Moulik (), Bibaswan Bose, Ahmed M. Ali () and Dirk Söffker ()
Additional contact information
Bedatri Moulik: Amity University
Bibaswan Bose: EVI Technologies Pvt. Limited
Ahmed M. Ali: The Egyptian Ministry of Defense
Dirk Söffker: University of Duisburg-Essen

Chapter Kapitel 12 in Transforming Mobility – What Next?, 2022, pp 195-217 from Springer

Abstract: Abstract Integrated systems with electric vehicles (EVs) and renewable energy sources are being widely considered as a first step building smart cities. A micro grid environment with wind, batteries, solar PV, and grid can be considered to together supply/store energy in the presence of EVs and home load demand. In such a case the role of an Energy Management Strategy (EMS) in combination with reliable forecasting is vital. Energy Management Strategy has been widely considered in literature mainly designed from the grid perspective. Considering the constraints associated with the EVs such as driving routes, charging facilities, and user driving patterns, EMS can be designed to suit the driver/vehicle requirements. The goal of this contribution is to conceptualize an EMS for university campus as example. Here, aspects of optimal charge scheduling of the connected EVs to minimize the customer’s electricity costs are crucial. The multi-objective, multi-constraint, EMS problem guides optimal energy flows between the sub-systems, considering the intermittency of supply/demand, stochastic nature of EV arrival times and energy cost. The main idea is to include and to combine user preferences to design the EMS from vehicle’s and grid perspectives. Another focus is to maximize the use of renewables and minimize grid dependency.

Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-36430-4_12

Ordering information: This item can be ordered from
http://www.springer.com/9783658364304

DOI: 10.1007/978-3-658-36430-4_12

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().