A Novel Hybrid Adaptive Filtering Algorithm Controlled STATCOM for LVRT Capability Enhancement of DFIG

This work focuses on enhancing transient stability or low voltage ride-through (LVRT) in a doubly fed induction generator (DFIG) by dynamically tuning all the PI controllers of the STATCOM using a novel approach. The hybrid enhanced block sphere Bayesian’ algorithm (EBSBA) and ‘least mean square root of exponential’ (LMSRE) algorithms (EBSBA- LMSRE) is proposed as a solution, offering key advantages such as high convergence speed, low computational complexity, and a straightforward design. The main goal of this work is to address voltage fluctuations and restore stable conditions in the DFIG. In this work, the cascaded structure-based proportional integral (PI) controllers are implemented on the voltage source converter (VSC) of the static synchronous compensator (STATCOM). During the transient, the gain of the PI controllers is automatically adjusted by the proposed hybrid EBSBA-LMSRE algorithm. The EBSBA-LMSRE-PI controlled STATCOM demonstrates superior response and damping compared to the LMSRE-PI and EBESBA-PI controllers, especially under normal and abnormal grid disturbances.

Authors

Institutions

Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/ssdee64538.2025.10968934
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Hybrid Adaptive Filtering Algorithm Controlled STATCOM for LVRT Capability Enhancement of DFIG

Arindam Chakraborty, Tanmoy Maity, Nilanjan Senroy
Advanced Adaptive Filtering Techniques
article

A Novel Hybrid Adaptive Filtering Algorithm Controlled STATCOM for LVRT Capability Enhancement of DFIG

Arindam Chakraborty, Tanmoy Maity, Nilanjan Senroy
article en

Abstract

This work focuses on enhancing transient stability or low voltage ride-through (LVRT) in a doubly fed induction generator (DFIG) by dynamically tuning all the PI controllers of the STATCOM using a novel approach. The hybrid enhanced block sphere Bayesian’ algorithm (EBSBA) and ‘least mean square root of exponential’ (LMSRE) algorithms (EBSBA- LMSRE) is proposed as a solution, offering key advantages such as high convergence speed, low computational complexity, and a straightforward design. The main goal of this work is to address voltage fluctuations and restore stable conditions in the DFIG. In this work, the cascaded structure-based proportional integral (PI) controllers are implemented on the voltage source converter (VSC) of the static synchronous compensator (STATCOM). During the transient, the gain of the PI controllers is automatically adjusted by the proposed hybrid EBSBA-LMSRE algorithm. The EBSBA-LMSRE-PI controlled STATCOM demonstrates superior response and damping compared to the LMSRE-PI and EBESBA-PI controllers, especially under normal and abnormal grid disturbances.

Indian Institute of Technology Dhanbad (IN), Indian Institute of Technology Delhi (IN)
Affordable and clean energy
Openalex Percentile: Top 90%
Advanced Adaptive Filtering Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Novel Hybrid Adaptive Filtering Algorithm Controlled STATCOM for LVRT Capability Enhancement of DFIG — Arindam Chakraborty, Tanmoy Maity, et al. · (2025) | TGRS Research Map | TGRS