V2G application to frequency regulation in a microgrid using decentralized fuzzy controller

Keyhaneh Janfeshan, Mohammad A. S. Masoum, Sara Deilami

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

11 Citations (Scopus)

Abstract

Frequency regulation is one of the main issues in power grids. Any load-generation imbalance that occurs in a power network, causes the frequency to deviate from its nominal value. During such transient conditions it is important to use a method to decrease frequency fluctuations and recover the power quality to network normal condition as quickly as possible. There are several solutions for frequency regulation. One of them is to use energy storage system (ESS) capacity to compensate the power shortage and load disturbances. Electric vehicles (EVs) can be seen as a mobile and controllable storage unit and the battery capacity can be used as a backup for power networks. The reverse flow of energy from vehicle to grid (V2G) can participate in frequency regulation. This paper presents a distributed fuzzy logic control (FLC) design for V2G application in frequency regulation. With FLC the power flow from the EVs to the grid is adjusted based on regulation demand and state of charge (SOC) of the vehicle battery.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Modelling, Identification and Control
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages361-364
Number of pages4
ISBN (Electronic)9780956715746
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event6th International Conference on Modelling, Identification and Control, ICMIC 2014 - Melbourne, Australia
Duration: 3 Dec 20145 Dec 2014

Conference

Conference6th International Conference on Modelling, Identification and Control, ICMIC 2014
CountryAustralia
CityMelbourne
Period3/12/145/12/14

Keywords

  • Power quality
  • microgrid
  • V2G
  • SOC
  • frequency regulation
  • fuzzy logic control
  • Generalized Load Frequency Control

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