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

    Access Status
    Fulltext not available
    Authors
    Janfeshan, K.
    Masoum, Mohammad Sherkat
    Deilami, Sara
    Date
    2014
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Janfeshan, K. and Masoum, M.S. and Deilami, S. 2014. V2G application to frequency regulation in a microgrid using decentralized fuzzy controller, in International Conference on Modelling, Identification and Control (ICMIC 2014), Dec 3 2014. Melbourne, Australia: IEEE.
    Source Title
    2014 Proceedings of the 6th International Conference on Modelling, Identification & Control (ICMIC), IEEE Conference Publications
    Source Conference
    2014 International Conference on Modelling, Identification and Control (ICMIC 2014)
    DOI
    10.1109/ICMIC.2014.7020781
    ISBN
    978-0-9567157-4-6
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/24277
    Collection
    • Curtin Research Publications
    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.

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