INTEGRATION OF ARTIFICIAL INTELLIGENCE CONTROL TO THE UNIFIED POWER QUALITY CONDITIONER

T.Madhurantaka, S.Muni Sekhar, P.Lokesh

Abstract: Modernization of the Industrial world is completely accompanied with growing power demands. It is very necessary to utilize the available power efficiently with as much less issues as possible rather than focusing on the excessive generation to meet the demand. UPQC consist of combined series active power filter that compensates voltage harmonics of the power supply, and shunt active power filter that compensates harmonic currents of a non-linear load. We need to focus on the control of UPQC to achieve the best results. Artificial Neural Networks is now considered as a tool for the design of controller for the Power Quality devices. In this paper, the ANN-based controller is designed for the current control of the shunt active power filter and trained offline using data from the conventional PI controller. An exhaustive simulation study is carried out to investigate the performance of the ANN controller and compare its performance with the conventional PI controller results.

Keywords: Power Quality, Unified Power Quality Conditioner, Artificial Neural Networks, Proportional Integral, CSI, VSI, Harmonics

DOI: https://doi.org/10.15623/ijret.2013.0204016