Artificial Neural Network Controlled Shunt Active Power Filter for Minimization of Current Harmonics in Industrial Drives
P. Thirumoorthi1, Raheni T D2
1P. Thirumoorthi, Department of Electrical and Electronics Engineering Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
2Raheni T D, Department of Electrical and Electronics Engineering Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
Manuscript received on 10 December 2018 | Revised Manuscript received on 17 December 2018 | Manuscript Published on 30 December 2018 | PP: 150-155 | Volume-8 Issue- 2S December 2018 | Retrieval Number: BS2693128218/19©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: In this paper development of three phase voltage controlled shunt active power filter is designed to compensate the harmonic current present in nonlinear load. The designed system overcomes the limitations of passive filter because of its resonance and bulky size. Voltage controlled shunt active power filter is the effective method for compensating harmonic elements caused by rectifier with RLE (nonlinear) load. In the proposed system classical PI controller is implemented and minimizes the ripple voltage of the DC capacitor voltage. The techniques used to control algorithm deals with the concept of instantaneous power of P-Q theory and a combination of neural network based intelligent technique to calculate three phase reference compensating current. The results ofPI based instantaneous power of P-Q theory and intelligent technique such as artificial neural network based back propagation algorithm is implemented and simulation are carried out in MATLAB/ Simulink environment.
Keywords: PI controller, Voltage Controlled Shunt Active Power Filter (VCSAPF), Artificial Neural Network (ANN), Total Harmonic Distortion (THD).
Scope of the Article: Computer Architecture and VLSI