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    Optimal design of cascaded control scheme for PV system using BFO algorithm

    245937.pdf (558.3Kb)
    Access Status
    Open access
    Authors
    Kalaam, R.
    Hasanien, H.
    Al-Durra, A.
    Al-Wahedi, K.
    Muyeen, S.M.
    Date
    2016
    Collection
    • Curtin Research Publications
    Type
    Conference Paper
    Metadata
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    Abstract

    In this paper presents Bacteria Foraging Optimization (BFO) algorithm based approach to find the optimum design values for the Proportional-Integral (PI) Controllers in cascaded structure is presented. Tuning the values of four PI controllers is very complex when the system is difficult to express in terms of mathematical model due to system nonlinearity. Response surface methodology (RSM) is used to formulate a mathematical design which is required to apply optimization algorithm. To examine the performance of BFO algorithm in obtaining optimum values of multiple PI controllers, a grid connected Photovoltaic (PV) system is chosen. Transient performance of the PI controller with optimum design values is evaluated under grid fault conditions. The system is simulated using PSCAD/EMTDC. Simulation results have shown the validity of the optimal design values obtained from RSM-BFO approach under different disturbances and system parameter variations.

    Citation
    Kalaam, R. and Hasanien, H. and Al-Durra, A. and Al-Wahedi, K. and Muyeen, S.M. 2016. Optimal design of cascaded control scheme for PV system using BFO algorithm, in Proceedings of the 4th International Conference on Renewable Energy Research and Applications (ICRERA) conference, Nov 22-25 2015, pp. 907-912. Palermo, Italy: IEEE.
    Source Title
    2015 International Conference on Renewable Energy Research and Applications, ICRERA 2015
    URI
    http://hdl.handle.net/20.500.11937/26979
    DOI
    10.1109/ICRERA.2015.7418541
    Department
    Department of Electrical and Computer Engineering
    Remarks

    © 2016 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.

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