A novel fuzzy-based control strategy for grid-connected large-scale solar farm with supporting the grid-frequency regulation

Nguyen Gia Minh Thao, Kenko Uchida

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    This paper presents a novel control strategy based on fuzzy logic to adjust fittingly the total output-active power injected into a local grid from a large-scale photovoltaic (PV) farm to support grid-frequency regulation. The strategy consists of a central coordinating controller and local controllers at PV power agents. Wherein, the central controller uses a frequency regulation module based on a unique fuzzy logic controller (FLC) to determine the reference value of total active power needed; and then appropriately coordinates the individual reference value for the local controller at each PV agent. As well, each local controller drives all the power-electronic converters and battery charger installed at PV agent to deliver power to the grid exactly according to the reference value obtained from the central controller. Besides, in each local controller, a simulation module based on the mathematical model of PV panel is used to predict beforehand the maximum power from PV arrays, and a control algorithm to regulate state-of-charge (SOC) of the battery bank is also implemented. Simulation results show that the proposed strategy has good performance in delivering the active power to grid with regulating the grid frequency in tolerable ranges even if the AC-system load and solar irradiation unexpectedly vary. Moreover, efficacy in regulating grid frequency of the suggested strategy is also compared with the conventional strategy which uses the full maximum power point tracking (MPPT) mode.

    Original languageEnglish
    Title of host publication2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9781479978625
    DOIs
    Publication statusPublished - 2015 Sep 8
    Event10th Asian Control Conference, ASCC 2015 - Kota Kinabalu, Malaysia
    Duration: 2015 May 312015 Jun 3

    Other

    Other10th Asian Control Conference, ASCC 2015
    CountryMalaysia
    CityKota Kinabalu
    Period15/5/3115/6/3

    Fingerprint

    Farms
    Controllers
    Fuzzy logic
    Power electronics
    Irradiation
    Mathematical models

    Keywords

    • battery state-of-charge control
    • coordinated control
    • fuzzy logic
    • grid-connected large-scale PV solar farm
    • grid-frequency regulation
    • MPPT
    • multi-string PV topology

    ASJC Scopus subject areas

    • Control and Systems Engineering

    Cite this

    Thao, N. G. M., & Uchida, K. (2015). A novel fuzzy-based control strategy for grid-connected large-scale solar farm with supporting the grid-frequency regulation. In 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015 [7244505] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASCC.2015.7244505

    A novel fuzzy-based control strategy for grid-connected large-scale solar farm with supporting the grid-frequency regulation. / Thao, Nguyen Gia Minh; Uchida, Kenko.

    2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7244505.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Thao, NGM & Uchida, K 2015, A novel fuzzy-based control strategy for grid-connected large-scale solar farm with supporting the grid-frequency regulation. in 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015., 7244505, Institute of Electrical and Electronics Engineers Inc., 10th Asian Control Conference, ASCC 2015, Kota Kinabalu, Malaysia, 15/5/31. https://doi.org/10.1109/ASCC.2015.7244505
    Thao NGM, Uchida K. A novel fuzzy-based control strategy for grid-connected large-scale solar farm with supporting the grid-frequency regulation. In 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7244505 https://doi.org/10.1109/ASCC.2015.7244505
    Thao, Nguyen Gia Minh ; Uchida, Kenko. / A novel fuzzy-based control strategy for grid-connected large-scale solar farm with supporting the grid-frequency regulation. 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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    AB - This paper presents a novel control strategy based on fuzzy logic to adjust fittingly the total output-active power injected into a local grid from a large-scale photovoltaic (PV) farm to support grid-frequency regulation. The strategy consists of a central coordinating controller and local controllers at PV power agents. Wherein, the central controller uses a frequency regulation module based on a unique fuzzy logic controller (FLC) to determine the reference value of total active power needed; and then appropriately coordinates the individual reference value for the local controller at each PV agent. As well, each local controller drives all the power-electronic converters and battery charger installed at PV agent to deliver power to the grid exactly according to the reference value obtained from the central controller. Besides, in each local controller, a simulation module based on the mathematical model of PV panel is used to predict beforehand the maximum power from PV arrays, and a control algorithm to regulate state-of-charge (SOC) of the battery bank is also implemented. Simulation results show that the proposed strategy has good performance in delivering the active power to grid with regulating the grid frequency in tolerable ranges even if the AC-system load and solar irradiation unexpectedly vary. Moreover, efficacy in regulating grid frequency of the suggested strategy is also compared with the conventional strategy which uses the full maximum power point tracking (MPPT) mode.

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