Volume 29, Issue 5 e12004
RESEARCH ARTICLE

Real-time implementation of adaptive PV-integrated SAPF to enhance power quality

Ravinder Kumar

Corresponding Author

Ravinder Kumar

Power Electronics and Drives Lab, Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, India

Correspondence

Ravinder Kumar, Power Electronics and Drives Lab, Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, India.

Email: [email protected]

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Hari Om Bansal

Hari Om Bansal

Power Electronics and Drives Lab, Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, India

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First published: 04 March 2019
Citations: 42

Summary

This paper presents the design and implementation of a photovoltaic-integrated shunt active power filter (SAPF) to improve the power quality and to generate clean power. The system uses adaptive neuro-fuzzy inference system (ANFIS)-based maximum power point tracking and control of synchronous reference frame theory–based SAPF. Various control schemes are implemented in MATLAB and then validated in real-time using FPGA-based computation engine of OPAL-RT 4510. Control techniques built around the artificial neural network, fuzzy logic control, and ANFIS are compared for balanced and unbalanced loads on parameters like total losses with/without compensation, voltage drop, power factor, and total harmonic distortion.

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