Hybrid DSTATCOM Design Using Deep Belief Networks for Enhanced Power Quality Assessment

Pappu Suneetha; Kanna Subba Ramaiah; Nagalamadaka Visali

doi:10.2478/pead-2026-0008

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Hybrid DSTATCOM Design Using Deep Belief Networks for Enhanced Power Quality Assessment

Power Electronics and Drives

Volume 11 (2026): Issue 1 (January 2026)

By: Pappu Suneetha , Kanna Subba Ramaiah and Nagalamadaka Visali

Open Access

|Apr 2026

Abstract

This article proposes the power quality (PQ) assessment using a deep belief-learning network (DBLN) approach-based inductor and capacitor (LC) supported distributed static compensator (DSTATCOM). This suggested DBLN controller is constituted by considering six sub networks for direct and quadrature components of three phases. Several factors like previous weight, step size, harmonic component and learning rate are associated in the DBLN learning mechanism to possess better dynamic performance. This proposed DBLN is suggested for both DSTATCOM and LC coupled DSTATCOM to showcase the proper DC link voltage regulation, which furthermore leads to providing better PQ improvement. To build a high-accuracy evaluation model LC coupling is analysed and designed by means of mathematical analysis and incorporated in the system. The proposed study is investigated by simulation and practical implementation using MATLAB/Simulink and hardware setups to improve power factor (p.f.) correction, source current harmonic reduction, voltage balancing and voltage control under various loading scenarios as per IEEE-519-2017 and EN-50160.

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Articles in this issue

DOI: https://doi.org/10.2478/pead-2026-0008 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262

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Language: English

Page range: 128 - 141

Submitted on: Dec 20, 2025

Accepted on: Mar 4, 2026

Published on: Apr 17, 2026

Published by: Wroclaw University of Science and Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

distributed static compensator,

deep belief learning network,

inductor and capacitor coupling,

power quality

Related subjects:

Computer sciences,

Artificial intelligence,

Engineering,

Electrical engineering,

Electronics

© 2026 Pappu Suneetha, Kanna Subba Ramaiah, Nagalamadaka Visali, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 11 (2026): Issue 1 (January 2026)