Fuzzy Logic Control D-STATCOM Technique

Gupta, Shikha; Muskan,

doi:10.1007/978-981-15-4992-2_17

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…The gains of the PI controller are tuned using fuzzy system. 17 But if the gains of the PI controller are determined by trial and error, the steady-state error problems occur. Figure 8 shows the diagram of the Fuzzy tuned PI voltage type of controller for the control of DC link voltage.…”

Section: Dc-link Voltage Controlmentioning

confidence: 99%

An Experimental Investigation on solar PV fed modular STATCOM in WECS using Intelligent controller

Vanaja¹,

Albert

Stonier³

2021

Int Trans Electr Energ Syst

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This paper describes an optimal way to produce and utilize green power with better energy efficiency. The power quality issues in wind energy conversion systems (WECS) are improved by implementing a photovoltaic (PV) based modular statcom. Modular statcom consist of a modular multilevel inverter (MMI). The peculiar feature of the MMI is that it does not need any auxiliary circuit to provide the negative voltage levels. It is inherent in nature. The DC link of the modular statcom is fed from the PV source, battery, and Flywheel. The excess power obtained from PV and WECS is stored in the battery and Flywheel. Continuous power can be supplied to the load without any interruption is an added advantage of the proposed system. A landsman converter is implemented for the proposed PV system to provide regulated and constant DC supply to the modular statcom.An enhanced second order generalized integrator (ESOGI) with fuzzy logic controller (FLC) is employed to extract the source reference current signal and produce gating pulses for the modular statcom. To verify the performance of the PV-integrated modular statcom, the simulation and experimental studies are performed under specific load conditions. Results show that the proposed system with the ESOGI method reduces the current distortions and satisfies the IEEE-519 standards. K E Y W O R D Ssolar photovoltaic, wind conversion system, enhanced second order generalized integrator, fuzzy logic controller, total harmonic distortion List of Symbols And abbreviations: P m , wind power equation; ρ, intensity of air; N L , number of levels; V p , peak voltage; r, radius of turbine; v, velocity of wind; Cp, power coefficient; λ, tip velocity proportion; β, pitch angle; ω, angular velocity; η, diode ideality factor; k, Boltzmann constant; q, electron charge; φ, irradiance; Tc, cell temperature; egap, band gap; Nc, number of cells in series of the PV module; Cpv, overall heat capacity of the PV module; Kin, transmittance absorption factor of PV module; Kloss, overall heat loss coefficient; Ta, ambient temperature; A, is the area of the PV module; V t , terminal voltage; Q pa Q pb Q pc , in-phase voltage template; Q qa Q qb Q qc , quadrature voltage template; v sab , v sbc v sca , source voltages; I loss , loss component; I qq ,

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Section: Dc-link Voltage Controlmentioning

confidence: 99%