Response Accuracy and Tracking Errors with Decentralized Control of Commercial V2G Chargers

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There is a growing interest in using the flexibility of electric vehicles (EVs) to provide power system services, such as fast frequency regulation. Decentralized control is advocated due to its reliability and much lower communication requirements. A commonly used linear droop characteristic results in low average efficiencies, whereas controllers with 3 modes (idle, fully charging, fully discharging) result in large reserve errors when the aggregation size is small. To address these issues, we propose a stochastic, decentralized controller with tunable response granularity which minimizes switching actions. The EV fleet operator can optimize the chargers’ performance according to the fleet size, the service error requirements, the average switching rate and the average efficiency. We use real efficiency characteristics from EVs and chargers providing fast frequency regulation and we show that the proposed controller can significantly reduce reserve errors and increase efficiency for a given fleet size, while at the same time minimizing the switching actions.
Original languageEnglish
Title of host publicationProceedings of 20th Power System Computation Conference
Number of pages7
PublisherIEEE
Publication date2018
ISBN (Print)9781910963098
DOIs
Publication statusPublished - 2018
Event20th Power Systems Computation Conference - O’Brien Centre for Science at University College Dublin, Dublin, Ireland
Duration: 11 Jun 201815 Jun 2018
Conference number: 20
http://www.pscc2018.net/index.html

Conference

Conference20th Power Systems Computation Conference
Number20
LocationO’Brien Centre for Science at University College Dublin
CountryIreland
CityDublin
Period11/06/201815/06/2018
Internet address
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Decentralized control, Electric vehicles, Primary frequency control, Stochastic control, V2G chargers

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