Composite least mean fourth algorithm (CLMF) based dynamic voltage restorer for enhancement of power quality

This paper introduces the composite least mean fourth control algorithm (CLMF) with a dynamic voltage restorer (DVR) to address power quality problems linked to voltage at the source side and supply clean voltage to the distribution network's sensitive loads. The performance of the two least mean fourth adaptive filters combined convexly by this control technique is better than that of the filters working independently. When comparing the suggested control to conventional synchronous reference frame-based vector control, phase-locked loops, abc to dq transformations, and dq to abc transformations are all practically eliminated. When compared to standard least mean square (LMS) and least mean fourth (LMF) control approaches, the proposed CLMF's features—simple computation, ease of implementation, reduced settling time, and increased reliability—show that the suggested controller is more efficient. The proposed CLMF controller excels in terms of rise time, 0.082 sec., and less settling time, 0.092 sec., respectively, with a peak overshoot of 2.33% compared with the aforementioned control algorithms. Different voltage-related PQ issues have been corrected successfully by the proposed CLMF. Through simulation using MATLAB/Simulink, system performance has been verified.

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Publication Details

Journal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Published
2025-09-01
DOI
https://doi.org/10.11591/ijpeds.v16.i3.pp1484-1495
Primary Topic
Power Quality and Harmonics
Type
article
Field-Weighted Citation Impact
0.00
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article

Composite least mean fourth algorithm (CLMF) based dynamic voltage restorer for enhancement of power quality

Yerramilli Butchi Raju, B. Rajagopal, Tummala Kranti Kiran
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Power Quality and Harmonics
article

Composite least mean fourth algorithm (CLMF) based dynamic voltage restorer for enhancement of power quality

Yerramilli Butchi Raju, B. Rajagopal, Tummala Kranti Kiran
article en

Abstract

This paper introduces the composite least mean fourth control algorithm (CLMF) with a dynamic voltage restorer (DVR) to address power quality problems linked to voltage at the source side and supply clean voltage to the distribution network's sensitive loads. The performance of the two least mean fourth adaptive filters combined convexly by this control technique is better than that of the filters working independently. When comparing the suggested control to conventional synchronous reference frame-based vector control, phase-locked loops, abc to dq transformations, and dq to abc transformations are all practically eliminated. When compared to standard least mean square (LMS) and least mean fourth (LMF) control approaches, the proposed CLMF's features—simple computation, ease of implementation, reduced settling time, and increased reliability—show that the suggested controller is more efficient. The proposed CLMF controller excels in terms of rise time, 0.082 sec., and less settling time, 0.092 sec., respectively, with a peak overshoot of 2.33% compared with the aforementioned control algorithms. Different voltage-related PQ issues have been corrected successfully by the proposed CLMF. Through simulation using MATLAB/Simulink, system performance has been verified.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringVol. 16(3)
Dr. Reddy's Laboratories (United States) (US), Annamalai University (IN)
Openalex Percentile: Top 78%
Power Quality and Harmonics
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Composite least mean fourth algorithm (CLMF) based dynamic voltage restorer for enhancement of power quality — Yerramilli Butchi Raju, B. Rajagopal, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2025) | TGRS Research Map | TGRS