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Power Management of Islanded Self-Excited Induction Generator Reinforced by Energy Storage Systems

Author

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  • Nachat N. Nasser

    (School of Engineering and Built Environment, Glasgow Caledonian University, 70 Cowcaddens Rd., Glasgow G4 0BA, UK)

  • Mohamed E. A. Farrag

    (School of Engineering and Built Environment, Glasgow Caledonian University, 70 Cowcaddens Rd., Glasgow G4 0BA, UK)

Abstract

Self-Excited Induction Generators (SEIGs), e.g., Small-Scale Embedded wind generation, are increasingly used in electricity distribution networks. The operational stability of stand-alone SEIG is constrained by the local load conditions: stability can be achieved by maintaining the load’s active and reactive power at optimal values. Changes in power demand are dependent on customers’ requirements, and any deviation from the pre-calculated optimum setting will affect a machine’s operating voltage and frequency. This paper presents an investigation of the operation of the SEIG in islanding mode of operation under different load conditions, with the aid of batteries as an energy storage source. In this research a current-controlled voltage-source converter is proposed to regulate the power exchange between a direct current (DC) energy storage source and an alternating current (AC) grid, the converter’s controller is driven by any variation between machine capability and load demand. In order to prolong the system stability when the battery reaches its operation constraints, it is recommended that an ancillary generator and a dummy local load be embedded in the system. The results show the robustness and operability of the proposed system in the islanding mode of the SEIG under different load conditions.

Suggested Citation

  • Nachat N. Nasser & Mohamed E. A. Farrag, 2018. "Power Management of Islanded Self-Excited Induction Generator Reinforced by Energy Storage Systems," Energies, MDPI, vol. 11(2), pages 1-14, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:359-:d:130129
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    References listed on IDEAS

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    1. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Yusta-Loyo, José M. & Domínguez-Navarro, José A. & Ramírez-Rosado, Ignacio J. & Lujano, Juan & Aso, Ismael, 2011. "Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV–wind–diesel systems with batteries storage," Applied Energy, Elsevier, vol. 88(11), pages 4033-4041.
    2. Deraz, S.A. & Abdel Kader, F.E., 2013. "A new control strategy for a stand-alone self-excited induction generator driven by a variable speed wind turbine," Renewable Energy, Elsevier, vol. 51(C), pages 263-273.
    3. Lan, Hai & Wen, Shuli & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun, 2015. "Optimal sizing of hybrid PV/diesel/battery in ship power system," Applied Energy, Elsevier, vol. 158(C), pages 26-34.
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