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- W2967924558 abstract "The present paper implements a Shunt Hybrid Active Filter (SHAF) essential for reactive power suppression across the load and eradicates harmonics in developing the power quality (PQ) under variable source and load conditions in the distribution network. For better compensation features, SHAF employing the harmonic reduction performance of both passive filter and active filter is presented in this paper. In this work, an adaptive linear neuron (ADALINE) based Variable step size leaky least mean square (VSSLLMS) control approach is applied to examine the operation of SHAF in a three-phase system. This competent approach is needed for generating the gating pulses essential for IGBT inverter and increasing the performance compared to the conventional ADALINE-LMS controller. The proposed controller provides faster convergence and also provides better performance compared to conventional one. Simulation results show the significant improvement in ADALINE-VSSLLMS approach compared to ADALINE-LMS approach. The simulations of the proposed system under different load and source conditions are performed using MATLAB/SIMULINK." @default.
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- W2967924558 date "2019-08-18" @default.
- W2967924558 modified "2023-10-12" @default.
- W2967924558 title "Application of Artificial Intelligence Techniques for Improvement of Power Quality Using Hybrid Filters" @default.
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- W2967924558 doi "https://doi.org/10.1007/978-981-13-8676-3_61" @default.
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