IoT based monitoring system for DFIG based wind turbines under voltage dips

Due to their partial-rating power converters and dynamic performance, doubly-fed induction generators (DFIGs) are commonly used in wind turbines (WT). However, grid-connected DFIGs are vulnerable to voltage dips, which can cause power quality concerns and possible turbine damage. An Internet of Thin...

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Published in:e-Prime: Advances in Electrical Engineering, Electronics and Energy
Main Authors: Indragandhi Vairavasundaram, Senthil Kumar Ramu, Jasmin Pamela Stephenraj, Obuli Pranav D, Gerald Christopher Raj Irudayaraj
Format: Article
Language:English
Published: Elsevier 2024-09-01
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772671124002705
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author Indragandhi Vairavasundaram
Senthil Kumar Ramu
Jasmin Pamela Stephenraj
Obuli Pranav D
Gerald Christopher Raj Irudayaraj
author_facet Indragandhi Vairavasundaram
Senthil Kumar Ramu
Jasmin Pamela Stephenraj
Obuli Pranav D
Gerald Christopher Raj Irudayaraj
author_sort Indragandhi Vairavasundaram
collection DOAJ
container_title e-Prime: Advances in Electrical Engineering, Electronics and Energy
description Due to their partial-rating power converters and dynamic performance, doubly-fed induction generators (DFIGs) are commonly used in wind turbines (WT). However, grid-connected DFIGs are vulnerable to voltage dips, which can cause power quality concerns and possible turbine damage. An Internet of Things (IoT)-based monitoring technique for field-oriented control (FOC)-based DFIG with grid-side converter (GSC) control is proposed in this paper. The proposed approach uses real-time WT voltage and current data to dynamically alter the GSC control settings, allowing for steady operation and minimizing power quality problems during voltage dips. A 2 MW variable-speed pitch-controlled DFIG with a speed limit of 900–2000 rpm is used for performance investigation under voltage dips with crowbar protection. An IoT based monitoring system sends real-time information to a cloud server for additional analysis after detecting anomalies. The ThingSpeak cloud platform sends email notifications of defects, and an MIT App Inventor application is constructed for data visualization. The proposed strategy's effectiveness is confirmed through the simulation results.
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spelling doaj-art-2894b775e16f4e6d9bce8ea8a389a5f02025-08-20T01:15:47ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112024-09-01910069010.1016/j.prime.2024.100690IoT based monitoring system for DFIG based wind turbines under voltage dipsIndragandhi Vairavasundaram0Senthil Kumar Ramu1Jasmin Pamela Stephenraj2Obuli Pranav D3Gerald Christopher Raj Irudayaraj4School of Electrical Engineering, Vellore institute of Technology, Vellore 632014, Tamilnadu, IndiaSchool of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu 600127, India; Corresponding author.School of Electrical Engineering, Vellore institute of Technology, Vellore 632014, Tamilnadu, IndiaSchool of Electrical Engineering, Vellore institute of Technology, Vellore 632014, Tamilnadu, IndiaDepartment of Electrical and Electronics Engineering, PSNA College of Engineering and Technology, Dindigul 624622, Tamilnadu, IndiaDue to their partial-rating power converters and dynamic performance, doubly-fed induction generators (DFIGs) are commonly used in wind turbines (WT). However, grid-connected DFIGs are vulnerable to voltage dips, which can cause power quality concerns and possible turbine damage. An Internet of Things (IoT)-based monitoring technique for field-oriented control (FOC)-based DFIG with grid-side converter (GSC) control is proposed in this paper. The proposed approach uses real-time WT voltage and current data to dynamically alter the GSC control settings, allowing for steady operation and minimizing power quality problems during voltage dips. A 2 MW variable-speed pitch-controlled DFIG with a speed limit of 900–2000 rpm is used for performance investigation under voltage dips with crowbar protection. An IoT based monitoring system sends real-time information to a cloud server for additional analysis after detecting anomalies. The ThingSpeak cloud platform sends email notifications of defects, and an MIT App Inventor application is constructed for data visualization. The proposed strategy's effectiveness is confirmed through the simulation results.http://www.sciencedirect.com/science/article/pii/S2772671124002705Crowbar protectionField oriented controlGrid side converterInternet of ThingsVoltage dip
spellingShingle Indragandhi Vairavasundaram
Senthil Kumar Ramu
Jasmin Pamela Stephenraj
Obuli Pranav D
Gerald Christopher Raj Irudayaraj
IoT based monitoring system for DFIG based wind turbines under voltage dips
Crowbar protection
Field oriented control
Grid side converter
Internet of Things
Voltage dip
title IoT based monitoring system for DFIG based wind turbines under voltage dips
title_full IoT based monitoring system for DFIG based wind turbines under voltage dips
title_fullStr IoT based monitoring system for DFIG based wind turbines under voltage dips
title_full_unstemmed IoT based monitoring system for DFIG based wind turbines under voltage dips
title_short IoT based monitoring system for DFIG based wind turbines under voltage dips
title_sort iot based monitoring system for dfig based wind turbines under voltage dips
topic Crowbar protection
Field oriented control
Grid side converter
Internet of Things
Voltage dip
url http://www.sciencedirect.com/science/article/pii/S2772671124002705
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