Enhancing power quality: bi - level least mean square control algorithm for D-STATCOM.

Saved in:

Bibliographic Details
Title:	Enhancing power quality: bi - level least mean square control algorithm for D-STATCOM.
Authors:	Kampara, Ravi Sankar¹ mostafaei@yazd.ac.ir, V., Kamaraju², R., Srinivasa Rao¹
Source:	Journal of Power Technologies. 2026, Vol. 106 Issue 1, p129-142. 14p.
Subjects:	Mean square algorithms, Harmonic suppression filters, Simulink (Computer software), Power supply quality, Adaptive control systems, DC-AC converters, Electrical harmonics
Abstract:	The power quality issues in the power system have significantly affect ed both utilities and customers. Among the prevalent power quality problems, current harmonics pose a common challenge, often addressed through the application of shunt active filters. In this paper, a volta ge source inverter (VSI) based distribution static compensator (D -STATCOM) is considered as a shunt active filter. To control the filter, this work proposes a h y steresis inner control and new bi - level least m ean square (BLMS) outer control algorithm. The BLMS algorithm is used to extract the converged weight required for reference source current generation from both active and reactive power components of harmonic - rich load current. To achieve the tuned weight, a n ovel modeling and design method is presented based on mathematical equations by splitting active and reactive subnets separately. It aims for a better alternative solution for realizing the weight update without usi ng the existing neural network (NN) to olbox. Finally, the power quality solution, like source current harmonic diminution, proper voltage adjustment, voltage normalizing and improved power factor, is analyzed by using the proposed technique. In addition to this, reduced sizing of the VSI is al so analyzed. To demonstrate the better performance of the D -STATCOM with proposed algorithm, analytical evolution is p erformed in MATLAB/SIMULINK. The performance is also compared with an existing adaptive - based least mean square (ALMS) strategy. [ABSTRACT FROM AUTHOR]
	Copyright of Journal of Power Technologies is the property of Warsaw University of Technology, Institute of Heat Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Engineering Source

Description
Abstract:	The power quality issues in the power system have significantly affect ed both utilities and customers. Among the prevalent power quality problems, current harmonics pose a common challenge, often addressed through the application of shunt active filters. In this paper, a volta ge source inverter (VSI) based distribution static compensator (D -STATCOM) is considered as a shunt active filter. To control the filter, this work proposes a h y steresis inner control and new bi - level least m ean square (BLMS) outer control algorithm. The BLMS algorithm is used to extract the converged weight required for reference source current generation from both active and reactive power components of harmonic - rich load current. To achieve the tuned weight, a n ovel modeling and design method is presented based on mathematical equations by splitting active and reactive subnets separately. It aims for a better alternative solution for realizing the weight update without usi ng the existing neural network (NN) to olbox. Finally, the power quality solution, like source current harmonic diminution, proper voltage adjustment, voltage normalizing and improved power factor, is analyzed by using the proposed technique. In addition to this, reduced sizing of the VSI is al so analyzed. To demonstrate the better performance of the D -STATCOM with proposed algorithm, analytical evolution is p erformed in MATLAB/SIMULINK. The performance is also compared with an existing adaptive - based least mean square (ALMS) strategy. [ABSTRACT FROM AUTHOR]
ISSN:	20834187