Evaluation of Two Distinct AI Control Methods to Enhance Power Quality

A. Mohan Sai; E. Pavan Kumar; B. Nandha Kishor Naik; P. Bala Chandra Prasad; S. Vasanth; L. Anitha

International Journal of Electrical Power System and Technology

Evaluation of Two Distinct AI Control Methods to Enhance Power Quality

Abstract

Artificial Intelligence techniques are the latest techniques utilized for the improvement of electrical performance. This study examines and contrasts various artificial harmonic reduction methods for source current. Artificial Intelligence may include Fuzzy logic and Artificial Neural Network. The goal of the modeling is to improve the power quality through the application of principles that cannot be expressed as "true" or "false" but rather as "partially true" called as Fuzzy logic and intelligent features of the neuron cell. Shunt Active Filter is one of the controller that can be used for suppress the source current harmonics and compensates the reactive power. Voltage Source Inverter switching is controlled by a hysteresis current converter. In order to produce the reference compensatory current, the D-Q Frame theory is employed. By utilizing the power system tools, simulations are performed in the MATLAB environment.

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How to cite

A. Mohan Sai, E. Pavan Kumar, B. Nandha Kishor Naik, P. Bala Chandra Prasad, S. Vasanth, L. Anitha. Evaluation of Two Distinct AI Control Methods to Enhance Power Quality. International Journal of Electrical Power System and Technology. 2023;8(2):15–26.

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Evaluation of Two Distinct AI Control Methods to Enhance Power Quality

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