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A Control Strategy based on Fuzzy Logic for Three-phase Grid-connected Photovoltaic System with Supporting Grid-frequency Regulation

Nguyen Gia Minh Thao and Kenko Uchida
Department of Electrical Engineering and Bioscience, Waseda University, Tokyo, Japan
Abstract—This paper presents a control strategy based on fuzzy logic to inject efficiently the active power from a three-phase grid-connected photovoltaic (PV) system into the local grid with supporting regulation for the frequency of grid voltage. In which the control strategy consists of three main modules as follows. Firstly, a simulation module based on the mathematical model of a PV panel is utilized to predict the maximum total power from PV arrays; the second one is a frequency regulation module used to compute a proper reference value for the output active power; and the last is a coordinated main controller for power-electronic converters and battery charger to deliver active power to the grid exactly according to the reference value computed beforehand. Especially in the frequency regulation module, a unique fuzzy logic controller (FLC) is designed to help determine accurately the reference value of active power. Besides, a control method for state-of-charge (SOC) of battery bank is also introduced. Simulations show the suggested control strategy has good performances in supplying suitably the active power to grid with regulating the grid frequency in acceptable ranges, even when the solar radiation or AC-system load suddenly changes. Also, effectiveness in regulating grid frequency of the proposed control strategy is compared with the conventional strategy using full maximum power point tracking (MPPT) mode.

Index Terms—grid-connected PV system, grid-frequency regulation, coordinated control, battery state-of-charge control, fuzzy logic, MPPT, multi-string PV array, per-unit

Cite: Nguyen Gia Minh Thao and Kenko Uchida, "A Control Strategy based on Fuzzy Logic for Three-phase Grid-connected Photovoltaic System with Supporting Grid-frequency Regulation," Jounal of Automation and Control Engineering, Vol. 4, No. 2, pp. 96-103, April, 2016. doi: 10.12720/joace.4.2.96-103
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