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Enhanced Microgrid Dynamic Performance Using a Modulated Power Filter Based on Enhanced Bacterial Foraging Optimization

Author

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  • Ahmed M. Othman

    (Faculty of Engineering, University of Ontario Institute of Technology (UOIT), Oshawa, ON L1H 7K4, Canada
    Electrical Power & Machine Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt)

  • Hossam A. Gabbar

    (Faculty of Engineering, University of Ontario Institute of Technology (UOIT), Oshawa, ON L1H 7K4, Canada
    Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology (UOIT), Oshawa, ON L1H 7K4, Canada)

Abstract

This paper presents a design of microgrid (MG) with enhanced dynamic performance. Distributed energy resources (DER) are widely used in MGs to match the various load types and profiles. DERs include solar PV cells, wind energy sources, fuel cells, batteries, micro gas-engines and storage elements. MG will include AC/DC circuits, developed power electronics devices, inverters and power electronic controllers. A novel modulated power filters (MPF) device will be applied in MG design. Enhanced bacterial foraging optimization (EBFO) will be proposed to optimize and set the MPF parameters to enhance and tune the MG dynamic response. Recent dynamic control is applied to minimize the harmonic reference content. EBFO will adapt the gains of MPF dynamic control. The present research achieves an enhancement of MG dynamic performance, in addition to ensuring improvements in the power factor, bus voltage profile and power quality. MG operation will be evaluated by the dynamic response to be fine-tuned by MPF based on EBFO. Digital simulations have validated the results to show the effectiveness and efficient improvement by the proposed strategy.

Suggested Citation

  • Ahmed M. Othman & Hossam A. Gabbar, 2017. "Enhanced Microgrid Dynamic Performance Using a Modulated Power Filter Based on Enhanced Bacterial Foraging Optimization," Energies, MDPI, vol. 10(6), pages 1-13, June.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:6:p:776-:d:100464
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    References listed on IDEAS

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    1. Fadaee, M. & Radzi, M.A.M., 2012. "Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3364-3369.
    2. Salas, V. & Olías, E. & Alonso, M. & Chenlo, F., 2008. "Overview of the legislation of DC injection in the network for low voltage small grid-connected PV systems in Spain and other countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 575-583, February.
    3. Fossati, Juan P. & Galarza, Ainhoa & Martín-Villate, Ander & Fontán, Luis, 2015. "A method for optimal sizing energy storage systems for microgrids," Renewable Energy, Elsevier, vol. 77(C), pages 539-549.
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    Cited by:

    1. Yifei Wang & Youxin Yuan & Jing Chen, 2018. "A Novel Electromagnetic Coupling Reactor Based Passive Power Filter with Dynamic Tunable Function," Energies, MDPI, vol. 11(7), pages 1-19, June.

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