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Power Electronics

Design and Analysis of the Shunt Active Power Filter with the ε-NSRLMMN Adaptive Algorithm for Power Quality Improvement in the Distribution System

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Pages 2105-2119 | Published online: 09 Dec 2022
 

Abstract

In this article, an adaptive normalized Sign Regression Least Mean Mixed Norm (ε-NSRLMMN) algorithm-based control technique is developed for the Shunt Active Power Filter (SAPF) to compensate for the grid current harmonics and reactive power under balanced and unbalanced loading conditions. The adaptive ε-NSRLMMN control algorithm improves power quality and makes the source current sinusoidal and power factor (PF) close to unity. It is used for load compensation in a three-phase distribution network. The fundamental active component is extracted from the distorted load current using an adaptive technique. This control algorithm has the advantages of improved convergence, better stability, lower harmonic distortion, less complexity and less steady-state error than the Sign regressor least mean mixed norm (SRLMMN), Least mean square (LMS) and least mean fourth (LMF). Adaptive ε-NSRLMMN is used for learning the fundamental active weight components of the load current. The parameters of the proposed algorithm are trained in real-time. A traditional PI controller has been used to regulate the dc-link voltage of the Voltage Source Converter (VSC). The performance of the proposed algorithm has been justified by simulation and experimental results.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Kanchan Bala Rai

Kanchan Bala Rai received bachelor’s degree in electrical and electronics engineering from Chhattisgarh Engineering College. She acquired a master’s in electrical devices and power systems from the Disha Institute of Management and Technology. She is a PhD student in electrical engineering at Delhi Technological University, Delhi, India. Her research interests include power quality and renewable energy systems. Corresponding author. Email: [email protected]

Narendra Kumar

Narendra Kumar is a holder of BE (electrical engg): IIT-Roorkee, ME (power system): PEC Chandigarh, PhD (instrumentation and control): DCE Delhi. Currently, he is professor in the Department of Electrical Engineering, at Delhi Technological University, Delhi, India. He published and presented many research papers in various journals and conferences. He has also supervised numerous PhD and MTech students. His areas of interest include instrumentation and power electronics and control applications. He is a senior member of IEEE and ISTE. Email: [email protected]

Alka Singh

Alka Singh graduated with a BE (electrical) from the Delhi College of Engineering in 1996, an MTech in power systems from the IIT Delhi in 2001 and a PhD from NSIT (Delhi University) in 2006. She is professor in the Department of Electrical Engineering, at Delhi Technological University, Delhi, India. Her research interests include Flexible A C Transmission System, power systems and power quality. She is a life member of the Indian Society for Technical Education. Email: [email protected]

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