Control of Solar Photovoltaic Integrated Universal Active Filter Using Artificial Intelligence Technique

Control of Solar Photovoltaic Integrated Universal Active Filter Using Artificial Intelligence Technique

Gudala Satya Pratap1, Dr Midhunchakkaravarthy2

Research Scholar Lincoln University College, Malaysia1

gspratap.phdscholar@lincoln.edu.my

Dean, Faculty of Computer Science and Multimedia2

Lincoln University College, Malaysia

midhun@lincoln.edu.my

Abstract- This paper organizes, a different technique based on adaptive filtering is proposed for the control of three phase worldwide active power filter with a solar photovoltaic array integrated at its DC bus. Two adaptive filters along with a zero crossing detection method are used to remove the magnitude of fundamental active component of distorted load currents, which is then used in estimation of reference signal for the shunt active filter. This technique enables extraction of active component of all three phases with reduced mathematical computation. The series active filter control is based on synchronous reference frame theory and it regulates load voltage and maintains it in-phase with voltage at point of common coupling under conditions of voltage sag and swell. In this paper An artificial intelligence technique fuzzy logic controller is used. The performance of the system is evaluated on an MATLAB/SIMULINK software under various dynamic conditions such as sag and swell in voltage at point of common coupling, load unbalancing and change in solar irradiation intensity.