Indian Journal of Science and Technology
Year: 2020, Volume: 13, Issue: 35, Pages: 3630-3641
P Sobha Rani1*, R Padma2, R Sarveswara Prasad3, P Rathnakar Kumar4
1Professor, Department of EEE, Lakireddy Bali Reddy college of Engineering, Mylavaram, 521230, India. Tel.: 9959108386
2Assistant Professor, Department of EEE, Lakireddy Bali Reddy college of Engineering, Mylavaram, 521230, India
3Associate Professor, Department of EIE, Lakireddy Bali Reddy college of Engineering, Mylavaram, 521230, India
4Assistant Professor, Department of EEE, Lakireddy Bali Reddy college of Engineering, 521230, Mylavaram, India
Email: [email protected]
Received Date:29 July 2020, Accepted Date:11 September 2020, Published Date:29 September 2020
Background/Objectives: In grid connected photo voltaic systems inverter is the key element. The inverter is required to shape dc current into sinusoidal current and provide fast response under various disturbances. The quality of power injected into the grid depends on proper inverter control. The objective of this paper is reducing harmonics and to improve power factor in grid connected system with balanced and unbalanced loads.Methods/Statistical analysis: In this study, three control mechanisms, adaptive neuro fuzzy inference system (ANFIS), ANFIS with static synchronous compensator (STATCOM), ANFIS with dynamic voltage restorer (DVR) are employed to improve power quality. The performances of fuzzy and ANFIS controllers are compared in terms of total harmonic distortion and power factor. MATLAB/ Simulink is used to perform the simulation. Findings: ANFIS controller is more effective compared to fuzzy controller. ANFIS controller with DVR gives less THD and improved power factor as compared to fuzzy controller.Novelty/Applications: Fuzzy and neural network controllers do not need any mathematical modelling and give accurate control as compared to classical PI controllers. In this work, ANFIS controller alone and ANFIS controller along with custom power devices STATCOM and DVR are designed for reduction in total harmonic distortion and improved power factor. The results are tabulated, analyzed and compared with fuzzy controller. It has been shown that ANFIS controller gives better performance compared to fuzzy controller.
Keywords: Artificial neural networks (ANN); Adaptive neuro fuzzy inference system (ANFIS); fuzzy controller; power factor; power quality; Total Harmonic Distortion (THD)
© 2020 Rani et al.This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee).
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