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Title: Dynamic P-Q Capability and Abnormal Operation Analysis of a Wind Turbine with Doubly-Fed Induction Generator

Journal Article · · IEEE Journal of Emerging and Selected Topics in Power Electronics
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  1. Univ. of Alabama, Tuscaloosa, AL (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)

After several accidents occurred in wind farms in the United States and around the world, the subsynchronous oscillation (SSO) issues in grid-connected wind farms have gained serious attention. Particularly, these issues have caused significant challenges to wind turbines with a doubly fed induction generator (DFIG) because it is connected to the grid via both its stator and rotor paths. Traditionally, a P-Q capability chart is utilized to assure the safe operation boundary for a synchronous generator. But the energy conversion characteristics of a DFIG wind turbine are completely different. A critical factor to affect the reliable operation of a DFIG wind turbine is the rated current and pulse-width modulation (PWM) saturation constraints of its power converters. These constraint conditions can be affected by the wind turbine rotating speed and grid conditions. However, a detailed study of DFIG P-Q capability from these perspectives has not been conducted, which has hindered adequate understanding of many abnormal wind turbine operations reported in the literature and the development of advanced control technologies to overcome the challenges. The proposed study in this paper considers vector control implementation to DFIG power electronic converters in the dq reference frame, and the models and algorithms developed for the P-Q capability study have addressed specific DFIG power converter constraints that are different from those of a traditional synchronous generator. The paper especially focuses on exploring the dynamic natures of DFIG P-Q capability under uncertain and variable conditions to explore the root causes of many abnormal operations of DFIG wind turbines reported in the literature. The proposed study is validated through an electromagnetic transient simulation model of a grid-connected DFIG wind turbine. The proposed study has the potential to lead to the development of new DFIG control technologies that can help overcome the challenges for many abnormal operations of DFIG wind turbines.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1839597
Report Number(s):
NREL/JA-5D00-79857; MainId:39075; UUID:1e5e71b9-65b3-44ec-b7a2-7c057d8b5a1e; MainAdminID:63594
Journal Information:
IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 10, Issue 4; ISSN 2168-6777
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

References (23)

High-voltage Ride Through Strategy for DFIG Considering Converter Blocking of HVDC System journal January 2020
Doubly fed induction generator using back-to-back PWM converters and its application to variable-speed wind-energy generation journal January 1996
Control of Variable Speed Wind Turbines with Doubly-Fed Induction Generators journal June 2004
Control of DFIG Wind Turbine With Direct-Current Vector Control Configuration journal January 2012
Reactive power capability of a wind turbine with doubly fed induction generator journal January 2007
Doubly fed induction generator systems for wind turbines journal January 2002
Rooted Tree Optimization for the Backstepping Power Control of a Doubly Fed Induction Generator Wind Turbine: dSPACE Implementation journal January 2021
Finite-Control-Set Model Predictive Control for DFIG Wind Turbines journal July 2018
Optimal Power Transmission of Offshore Wind Power Using a VSC-HVdc Interconnection journal July 2017
DFIG wind turbine under unbalanced power system conditions using adaptive fuzzy virtual inertia controller journal May 2019
Improved Reactive Power Capability of Grid Connected Doubly-Fed Induction Generators journal June 2009
A Review of the State of the Art of Power Electronics for Wind Turbines journal August 2009
Characteristic Analysis of Subsynchronous Resonance in Practical Wind Farms Connected to Series-Compensated Transmissions journal September 2017
Advanced Reactive Power Reserve Management Scheme to Enhance LVRT Capability journal October 2017
Reactive Power Capability Model of Wind Power Plant Using Aggregated Wind Power Collection System journal April 2019
On Capacitor Switching Transient Immunity of Inverter-Based Renewable Generations journal October 2015
Synchronous generator capability curve testing and evaluation journal January 1994
Performance Analysis of Unified Doubly-Fed Induction Generator for Wind Power Application journal October 2015
Overview of emerging subsynchronous oscillations in practical wind power systems journal January 2019
A Review of Passive Power Filters for Three-Phase Grid-Connected Voltage-Source Converters journal March 2016
IEEE Standard for Interconnection and Interoperability of Distributed Energy Resources with Associated Electric Power Systems Interfaces standard April 2018
Reactive capability limitation of synchronous machines journal January 1994
Artificial Neural Networks for Volt/VAR Control of DER Inverters at the Grid Edge journal September 2019

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