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    Harmony search algorithm-based controller parameters optimization for a distributed-generation system

    Harmony search algorithm-based controller parameters optimization for a distributed-generation system.pdf (2.771Mb)
    Access Status
    Open access
    Authors
    Ambia, M.
    Hasanien, H.
    Al-Durra, A.
    Muyeen, S.M.
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Ambia, M. and Hasanien, H. and Al-Durra, A. and Muyeen, S.M. 2015. Harmony search algorithm-based controller parameters optimization for a distributed-generation system. IEEE Transactions on Power Delivery. 30 (1): pp. 246-255.
    Source Title
    IEEE Transactions on Power Delivery
    DOI
    10.1109/TPWRD.2014.2358940
    ISSN
    0885-8977
    School
    Department of Electrical and Computer Engineering
    Remarks

    © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/22528
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents the utilization of a harmony search algorithm (HSA) to optimally design the proportional-integral (PI) controllers of a grid-side voltage source cascaded converter with two additional loops for smooth transition of islanding and resynchronization operations in a distributed-generation (DG) system. The first loop is the frequency-control loop which is superimposed on the real power setpoint of the cascaded controller of the voltage-source converter to minimize the frequency variation during the transition from the grid mode to islanding mode. The second loop is the resynchronization loop which reduces the phase shift of the ac voltages of the DG with the utility grid ac voltages during islanding operation leading to a successful grid reconnection event. The response surface methodology (RSM) is used to build the mathematical model of the system dynamic responses in terms of PI controllers' parameters. The effectiveness of the proposed PI control scheme optimized by the HSA is then compared with that optimized by both genetic algorithm and conventional generalized reduced gradient techniques. The HSA code is built using the MATLAB software program. The validity of the proposed system is verified by the simulation results which are performed using PSCAD/EMTDC.

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