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Author: search.filters.author.Sa-Ngawong, NattapolSubject: search.filters.subject.Sugeno fuzzy logic controller

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    Sugeno fuzzy logic control-based smart PV generators for frequency control in loop interconnected power systems
    (2014-10-15)
    Sa-Ngawong, Nattapol
    ;
    Ngamroo, Issarachai
    This paper proposes a smart photovoltaic (PV) generator equipped with the Sugeno fuzzy logic controller (SFLC) for load frequency control (LFC) in a loop interconnected power system. With high computation efficient and without time consuming in defuzzification, the SFLC is used to quickly control the AC power output of the PV inverter so that the system frequency deviation is alleviated. Since the solar insolation change and system frequency deviation are used as the input signals, the SFLC can suitably adapt its control performance. Simulation results in a three-area loop interconnected power system confirm that the PV with the proposed SFLC not only effectively alleviates the fluctuation of system frequency and tie-line power flow, but also supply output power near the maximum power point during frequency control. Besides, the control effect of PV with SFLC is superior to that of the PV with maximum power point tracking control under random solar insolations and load changes.
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    Item type:Publication,
    PSO-based Sugeno fuzzy logic controller of photovoltaic generator for frequency stabilization in stand-alone power system
    (2013-01-01)
    Sa-Ngawong, Nattapol
    ;
    Ngamroo, Issarachai
    This paper proposes a particle swarm optimization-based Sugeno fuzzy logic controller (PSO-SFLC) of photovoltaic (PV) generator for frequency stabilization in a stand-alone power system. The PSO-SFLC is used to adjust the modulation ratio of the PV inverter so that the PV output power can be swiftly controlled to follow the load change and stabilize the system frequency fluctuation. The PSO is used to automatically tune membership functions and control rules of SFLC. The input signals of SFLC are solar insolation and frequency deviation signals while the output signal is the modulation ratio of the inverter. In the simulation study, the frequency stabilizing effect of PV with PSO-SFLC is compared with the PV with SFLC and the PV with maximum power point tracking under random load and solar insolation change. Simulation results show the superior effect of the PV with proposed PSO-SFLC over the PV with SFLC and the PV with maximum power point tracking. © 2013 IEEE.