A Novel ANN based Harmonics Mitigation and Monitoring Approach of Shunt Active Power Filter
M.Manimegalai1, K.Sebasthirani2
1M. Manimegalai, Research Scholar, Department of Computer Science and Engineering, P.S.R.Rengasamy College of Engineering for Women, Sivakasi.
2K.Sebasthirani, Associate Professor, Department of Electrical and Electronics Engineering, Sri Ramakrishna Engineering College, Coimbatore (TamilNadu), India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript Published on 22 March 2019 | PP: 508-514 | Volume-8 Issue-5S April 2019 | Retrieval Number: ES3473018319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A new approach to monitor the power quality terms like harmonics, voltage sag or swell, flicker etc., in the distributed power system using shunt active power filter (SAPF) and controlling the filter using Artificial Neural Network (ANN) has been proposed in this paper. Harmonics are identified and mitigated using MOSFET based SAPF and controlled by ANN. Power quality has been monitored in the online for the domestic electronic applications. Comparing to PI controller ANN has better performance. Performance of the proposed technique has been shown in the Simulation results based on the parameter Total Harmonic Distortion (THD). Simulation has been done in MATLAB simulink. Online Monitoring has been carried out using PHP and SQL server.
Keywords: Shunt Active Power Filter (SAPF), Artificial Neural Network (ANN), Total Harmonic Distortion (THD), Hypertext Preprocessor (PHP), Structured Query Language (SQL).
Scope of the Article: Computer Science and Its Applications