M. Kenan Döşoğlu

Dr. M. Kenan Döşoğlu

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 July 2016 in Neural Computing and Applications
Verified
Journal Article
Closed access
PDF file
MDM. Kenan Döşoğlu
M. Kenan Döşoğlu
UGUğur Güvenç
Uğur Güvenç
SDSerhat Duman
Serhat Duman
YSYusuf Sönmez
Yusuf Sönmez
HKhamdi tolga Kahraman
hamdi tolga Kahraman

22 June 2017 in Nonlinear Dynamics
Verified
Journal Article
Closed access
PDF file
MDM. Kenan Döşoğlu
M. Kenan Döşoğlu


13 August 2016 in Electrical Engineering
Verified
Journal Article
Closed access
PDF file
MDM. Kenan Döşoğlu
M. Kenan Döşoğlu

27 March 2017 in Electrical Engineering
Verified
Journal Article
Closed access
PDF file
MDM. Kenan Döşoğlu
M. Kenan Döşoğlu
UGUğur Güvenç
Uğur Güvenç
YSYusuf Sönmez
Yusuf Sönmez
CYCemal Yılmaz
Cemal Yılmaz

31 January 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
MDM. Kenan Döşoğlu
M. Kenan Döşoğlu
Overvoltage and overcurrent resulting from various faults cause instability in Doubly Fed Induction Generator (DFIG)-based wind turbines connected to a grid. The grid code requirement must be met during faults to minimize the effect of these problems. Low Voltage Ride Through (LVRT) capability is used to meet the grid code requirement. It is important to use coordinate control for transient states in LVRT capability. This study aimed to improve the stator dynamics for ease of calculation and the rotor dynamic model by damping oscillations caused by balanced and unbalanced faults on the grid side. For this, electromotive force (emf) models were developed for stator and rotor dynamic modeling. Furthermore, for the coordinate control of the DFIG, models were developed for a lookup-table-based supercapacitor and a decoupled Static Synchronous Compensator (STATCOM). Using these models, analyses of three-phase and two-phase faults were conducted. Following different balanced and unbalanced faults within the grid, the system was stabilized in a short time, and the oscillations occurring during the faults were quickly damped using the LVRT models developed in this study.