NDLI: Optimal operation of aggregated electric vehicle charging stations coupled with energy storage

Content Provider	IET Digital Library
Author	Sarker, Mushfiqur R. Pandžić, Hrvoje Sun, Kaiwen Vazquez, Miguel A. Ortega
Abstract	Charging stations are the basic infrastructure for accommodating the energy needs of electric vehicles (EVs). Companies are expected to invest in these charging stations by installing them at locations with a dense concentration of vehicles, such as parking places, commercial centres, and workplaces. In order for investors in EV charging stations to maximise their profits and mitigate the impact on the power grid, these stations would benefit from coupling with an energy storage system (ESS). ESS would be used to arbitrage energy and to balance out the time-variant and uncertain EV energy demand. This study proposes a framework to optimise the offering/bidding strategy of an ensemble of charging stations coupled with ESS in the day-ahead electricity market. The proposed framework accounts for degradation of the ESS, robust scheduling against price uncertainty, as well as stochastic energy demand from EVs. The results show the viability of the proposed framework in providing cost savings to an ensemble of EV charging stations.
Starting Page	1127
Ending Page	1136
Page Count	10
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 5, Mar (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0134
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-11-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Aggregated Electric Vehicle Charging Stations Arbitrage Energy Automobile Electronics Commercial Centres Cost Savings Day-ahead Electricity Market Electric Vehicle Charging Energy Storage System ESS Degradation EV Charging Stations Offering-bidding Strategy Optimal Operation Parking Places Power Grid Power Market Power System Economics Power System Managemen Power System Operation Price Uncertainty Robust Scheduling Stochastic Energy Demand Time-variant EV Energy Demand Uncertain EV Energy Demand Vehicle-to-grid
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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