At the request of the Publisher, the following article has been retracted:
Sekhar V, Ravi K. Low-voltage ride-through capability enhancement of wind energy conversion system using an ant-lion recurrent neural network controller. Measurement and Control. 2019;52(7-8):1048-1062. doi:10.1177/0020294019858102.
The article has been retracted due to concerns over the integrity of the peer review process. As a result, the Publisher is not confident in the scientific accuracy of this article.
Adhering to the international guidelines established by the Committee on Publication Ethics, the Journal has determined these are grounds for retraction.
The authors did not agree with the retraction.
References
1.
HossainMAliM.Future research directions for the wind turbine generator system. Renew Sust Energ Rev2015; 49: 481–489.
2.
MohodSAwareM.A STATCOM-control scheme for grid connected wind energy system for power quality improvement. IEEE Syst J2010; 4(3): 346–352.
3.
AyodeleTOgunjuyigbeA.Mitigation of wind power intermittency: storage technology approach. Renew Sust Energ Rev2015; 44: 447–456.
4.
SuganthiLIniyanSSamuelA.Applications of fuzzy logic in renewable energy systems – a review. Renew Sust Energ Rev2015; 48: 585–607.
5.
AminMMohammedO.Development of high-performance grid-connected wind energy conversion system for optimum utilization of variable speed wind turbines. IEEE Trans Sustain Energ2011; 2(3): 235–245.
6.
SinghMKhadkikarVChandraAet al. Grid interconnection of renewable energy sources at the distribution level with power-quality improvement features. IEEE Trans Power Deli2011; 26(1): 307–315.
7.
GonzálezSVallaM.UPQC implemented with cascade asymmetric multilevel converters. Electr Power Syst Res2015; 124: 144–151.
8.
Torabian EsfahaniMHosseinianSVahidiB. A new optimal approach for improvement of active power filter using FPSO for enhancing power quality. Int J Electric Power Energ Syst2015; 69: 188–199.
9.
Samiei SarkhanlooMSadeghi YazdankhahAKazemzadehR. A new control strategy for small wind farm with capabilities of supplying required reactive power and transient stability improvement. Renew Energ2012; 44: 32–39.
10.
BouzelataYKurtEChenniRet al. Design and simulation of a unified power quality conditioner fed by solar energy. Int J Hydrogen Energ2015; 40(44): 15267–15277.
11.
MerabetAIslamMBeguenaneRet al. Multivariable control algorithm for laboratory experiments in wind energy conversion. Renew Energ2015; 83: 162–170.
12.
TohidiSOraeeHZolghadriMet al. Analysis and enhancement of low-voltage ride-through capability of brushless doubly fed induction generator. IEEE Trans Indus Electron2013; 60(3): 1146–1155.
13.
WuZZhuCHuM.Improved control strategy for DFIG wind turbines for low voltage ride through. Energies2013; 6(3): 1181–1197.
14.
BarradoJGrinoRValderrama-BlaviH.Power-quality improvement of a stand-alone induction generator using a STATCOM with battery energy storage system. IEEE Trans Power Deli2010; 25(4): 2734–2741.
15.
PichanMRastegarHMonfaredM.Two fuzzy-based direct power control strategies for doubly-fed induction generators in wind energy conversion systems. Energy2013; 51: 154–162.
16.
YinXLinYLiWet al. Sliding mode voltage control strategy for capturing maximum wind energy based on fuzzy logic control. Int J Electric Power Energ Syst2015; 70: 45–51.
17.
HowladerASenjyuT.A comprehensive review of low voltage ride through capability strategies for the wind energy conversion systems. Renew Sust Energ Rev2016; 56: 643–658.
18.
SwainSRayP.Short circuit fault analysis in a grid connected DFIG based wind energy system with active crowbar protection circuit for ride through capability and power quality improvement. Int J Electric Power Energ Syst2017; 84: 64–75.
19.
NaderiSNegnevitskyMJalilianAet al. Low voltage ride-through enhancement of DFIG-based wind turbine using DC link switchable resistive type fault current limiter. Int J Electric Power Energ Syst2017; 86: 104–119.
20.
BaghaeeHMirsalimMGharehpetianGet al. A new current limiting strategy and fault model to improve fault ride-through capability of inverter interfaced DERs in autonomous microgrids. Sust Energ Technol Assess2017; 24: 71–81.
21.
RashidGAliM.Fault ride through capability improvement of DFIG based wind farm by fuzzy logic controlled parallel resonance fault current limiter. Electric Power Syst Res2017; 146: 1–8.
22.
Selva Santhose KumarRGirirajkumarS. Z-source inverter fed induction motor drive control using particle swarm optimization recurrent neural network. J Intell Fuzzy Syst2015; 28: 2749–2760.
23.
MirjaliliS.The ant lion optimizer. Adv Eng Software2015; 83: 80–98.
24.
JainBJainSNemaR.Control strategies of grid interfaced wind energy conversion system: an overview. Renew Sust Energ Rev2015; 47: 983–996.
25.
JadhavHRoyR.Stochastic optimal power flow incorporating offshore wind farm and electric vehicles. Int J Electric Power Energ Syst2015; 69: 173–187.
26.
ChowdhuryMIslamKShenWet al. Robust active disturbance rejection controller design to improve low-voltage ride-through capability of doubly fed induction generator wind farms. IET Renew Power Gener2015; 9(8): 961–969.
27.
YangWTianS.Research on a power quality monitoring technique for individual wind turbines. Renew Energ2015; 75: 187–198.
28.
YassinHHalloudaMHanafyH.Enhancement low-voltage ride through capability of permanent magnet synchronous generator-based wind turbines using interval type-2 fuzzy control. IET Renew Power Gener2016; 10(3): 339–348.
