Research Article | OPEN ACCESS
Fault Ride through Capability Improvement of Wind Turbine Based DFIG Considering an Optimized Crowbar Along with STATCOM under Grid Fault Condition
Alireza Zohoori, Ahad Kazemi and Rouhollah Shafaie
Center of Excellence for Power System Automation and Operation, Department of Electrical
Engineering, Iran University of Science and Technology, Tehran, Iran
Research Journal of Applied Sciences, Engineering and Technology 2013 7:2297-2302
Received: April 13, 2012 | Accepted: May 06, 2012 | Published: March 11, 2013
Abstract
Grid disturbances, especially grid faults, have very unfavorable effect on the performance of wind turbine based Doubly Fed Induction Generator (DFIG). In this study active and reactive powers control of DFIG with STATCOM has been carried out to improve Fault Ride Through (FRT) capability of a wind turbine. In order to excel improvement of the DFIG behavior under grid fault disturbances, an optimized crowbar protection method is also considered together with STATCOM. The optimized protection crowbar resistance is achieved through Analytical Hierarchy Process (AHP) algorithm. Simulations results illustrate that an optimized crowbar protection method along with STATCOM has improved the stability of wind farm and provide grid code requirement compared with that of methods without using the optimized crowbar resistance.
Keywords:
Analytical Hierarchy Process (AHP) algorithm, crowbar resistor protection, doubly fed induction generator, fault ride through, STATCOM,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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