Power Quality Improvement in a Grid Connected Solar-PV System with Adaptive Neuro-Fuzzy Controller Based UPQC

Lenin Babu Chilakapati; Gowri Manohar T

doi:10.54392/irjmt25118

Authors

Lenin Babu Chilakapati Department of EEE, Sri Venkateswara University, Tirupati-517502, India Author https://orcid.org/0000-0001-9749-979X
Gowri Manohar T Department of EEE, Sri Venkateswara University, Tirupati-517502, India Author https://orcid.org/0000-0003-0441-6022

DOI:

https://doi.org/10.54392/irjmt25118

Keywords:

Renewable Energy Source, Power Quality, UPQC, Voltage Source Converter, ANFIS Control

Abstract

Power quality (PQ) problems are frequently encountered in power grids, and these problems become more severe as the number of devices increases. Therefore, one of the primary responsibilities of utility systems remains to supply people with electricity by standard sinusoidal voltage and current configurations at appropriate amplitudes and frequencies adjoining the point of common connection (PCC). This research examines a solar-photovoltaic (PV) coordinated unified power quality controller (UPQC) to enhance the PQ in the distribution grid network. This paper proposes a UPQC control method relied on the Adaptive Leakage Least Mean Square (AL_LMS) algorithm. This approach uses both the Adaptive Neural Fuzzy Inference System (ANFIS) controller and Proportional-Integral (PI) controller to compare between the serial and shunted active converter switching of UPQC. The technique switches the UPQC's shunt and series voltage source converters (VSCs) to obtain a reference signal through iterative weight update. Through iterative weight update, the method obtains a reference signal by switching the shunted and serial VSCs of the UPQC. Therefore, the PQ disturbances such as load voltage drop and ripple and harmonic distortion of the grid’s current are abridged after the control technology is applied to the solar PV-UPQC. Conferring to the simulation results, the proposed ANFIS control AL_LMS algorithm stands the utmost operative in improving the PQ after applied to the solar-PV sourced UPQC, while complying with the IEEE-519 standards. The work was done in using MATLAB/Simulation software.

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