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- W2948127033 abstract "This paper presents an effective concept for hybrid fuel cell-photovoltaic-wind-battery active power filter (FC-PVWind-Battery) energy scheme based on the variable structure sliding mode fuzzy logic controller (SMFLC) using the multiobjectiveparticle swarm optimisation (MOPSO). The parameters of the fuzzy logic control membership functions and theweighting factors of the SMFLC can be tuned by MOPSO in such an approach to optimise the dynamic performance of theshunt active power filter (SAPF) and minimise the total harmonic distortion (THD) of the source current waveform and voltagewaveform of the hybrid (FC-PV-Wind-Battery). A group of objective functions was chosen to validate the dynamic performanceof the SAPF and the effectiveness of the MOPSO-SMFLC. These selected fitness functions are: (i) minimising the error of theinverter capacitor DC voltage, (ii) minimising the THD of the output current and voltage of DC and AC sides and (iii) minimisingthe controller reaching time. A computer simulation study using Simulink/Matlab and experimental laboratory prototype werecarried on to asses and compare the dynamic performance of the proposed MOPSO-SMFLC controller with the conventionalproportional–integral–derivative, variable structure SMFLC, the feed-forward multilayer neural network controller and thevariable structure SMFLC based on the single-objective particle swarm optimisation." @default.
- W2948127033 created "2019-06-14" @default.
- W2948127033 creator A5067244609 @default.
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- W2948127033 date "2017-11-01" @default.
- W2948127033 modified "2023-09-27" @default.
- W2948127033 title "MOPSO-based optimal control of shunt active power filter using a variable structure fuzzy logic sliding mode controller for hybrid (FCPV-Wind-Battery) energy utilisation scheme / MOPSO-based optimal control of shunt activepower filter using a variable structure fuzzylogic sliding mode controller for hybrid (FCPV-Wind-Battery) energy utilisation scheme" @default.
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