Yazar "Dosoglu, M. Kenan" seçeneğine göre listele

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    Decoupled feed-forward control model enhancement for low voltage ride through capability in DFIG-based wind turbines
    (Springer, 2024) Dosoglu, M. Kenan
    Doubly fed induction generator (DFIG) is significantly affected by various faults occurring in the grid as they are directly connected to the grid. In order to realize the low voltage ride through (LVRT) capability, the DFIG must remain connected to the system for a certain period of time according to the grid code requirement. In order to achieve this, the high rotor current must be reduced in DFIG against faults occurring on the grid side. In this study, a decoupled feed-forward control model was developed for the LVRT capability. Positive, negative, natural, and forced methods were used for the decoupled feed-forward control (FFC) model. In addition to this developed model, while the stator electromotive force (EMF) model was developed for simulation study performance and ease of calculation, the rotor EMF model was also developed to predict the transient rotor current quickly. The developed models and the conventional model were used and compared in detail. According to the results obtained, it was observed that the system became stable owing to the developed model, while the oscillations formed as a result of the transient stability were damped.
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    Enhanced Coati Optimization Algorithm for Static and Dynamic Transmission Network Expansion Planning Problems
    (Ieee-Inst Electrical Electronics Engineers Inc, 2025) Demirbas, Muhammet; Dosoglu, M. Kenan; Duman, Serhat
    The power systems are becoming more and more complex due to the inclusion of new components and increasing load demand. Consequently, it is imperative to incorporate additional generation units and transmission links into the system. Transmission Network Expansion Planning (TNEP) seeks to include generation units and transmission lines into the system at optimal locations and minimal costs. Mathematical techniques are extensively employed to address the problem. Nonetheless, mathematical methods necessitate extensive computation durations. Consequently, novel solution strategies are under investigation. The TNEP problem is characterized by an innovative and effective metaheuristic optimization techniques. This study presents a novel Opposition Based Learning and Fitness Distance Balance based Coati Optimization Algorithm (FDBCOA-OBL) designed to address Static and Dynamic TNEP problems. An extensive experimental investigation was undertaken to evaluate the efficacy of the suggested method in addressing the benchmark test suites and the TNEP problem. The FDBCOA-OBL algorithm, utilizing the Elite OBL approach, surpassed all other comparative versions in addressing the benchmark test problems. The Wilcoxon analysis indicates that it lost 6 problems, tied in 110, and won 166 problems. The proposed approach resolved the TNEP problem in 6, 25, and 93-bus test systems. The Static TNEP solution was applied to the 6 and 25 bus test systems, while the Dynamic Multistage TNEP method was utilized in the 93-bus test system. The acquired investment expenses were compared to the research already documented in the literature. The findings indicate that the suggested method demonstrates robust performance.
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    Enhancement of Low Voltage Ride Through (LVRT) Capability of DFIG-Based Wind Turbines with Enhanced Demagnetization Control Model
    (Mdpi, 2024) Dosoglu, M. Kenan; Dogan, Muhsin Ugur
    Since the stator of DFIG-based wind turbines is directly connected to the grid, it is dramatically affected by transient situations that may occur on the grid side. In order to meet grid code requirements, reactive power support must be provided to keep the DFIG connected to the grid during the transient state. To achieve this, Low Voltage Ride Through (LVRT) capability needs to be implemented in the grid-connected DFIG. Depending on the grid code requirements, different control models are used to provide LVRT capability. In this study, the demagnetization control model was developed in DFIG. In addition, the stator dynamic model has also been developed in order to decrease the disturbances that occur due to the stator being directly connected to the machine and to increase the calculation performance within the machine. While natural and forced flux models based on rotor electromotive force were developed in the demagnetization control model in DFIG, the stator electromotive force model was developed to ensure stator dynamics. In the study, it was seen that the demagnetization control model developed for transient situations such as balanced and unbalanced faults gave better results than the traditionally used model. The results obtained were evaluated in detail in terms of stability and oscillations.
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    Enhancement of Passive Sliding Mode Control Model for LVRT Capability in DFIG Based Wind Turbines
    (Wiley, 2025) Dosoglu, M. Kenan
    Doubly fed induction generator (DFIG) is vulnerable to transient stability situations occurring on the grid side. First of all, with the models to be developed in the wind turbines, LVRT capability must be provided depending on the grid code requirement for various problems that may occur, such as overcurrent, voltage, and uncertainty in parameters. For this purpose, in this study, a passive sliding mode control (PSMC) model in the rotor side converter (RSC) was developed to control the power flow between DFIG and the grid during transient stability. In addition, the aim was to provide stator-rotor electromotive force (emf) models in DFIG to dampen the oscillations that occur as a result of faults on the grid side and to enable the simulation program to make smooth calculations. Comparisons of proposed models with traditionally used models in various faults were made, and the results were interpreted in detail. As a result of the obtained results, it was seen that the intended approaches stabilized the system in a short time, and the oscillations were quickly damped.
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    Fuzzy-Based Fitness-Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems
    (Mdpi, 2025) Demirbas, Muhammet; Duman, Serhat; Ozkaya, Burcin; Balci, Yunus; Ersoy, Deniz; Dosoglu, M. Kenan; Guvenc, Ugur
    Economic dispatch (ED) is one of the most important problems in terms of energy planning, management, and operation in power systems. This study presents a snow ablation optimizer (SAO) algorithm developed with the fuzzy-based fitness-distance balance (FFDB) method for solving ED problems in small-, medium- and large-scale electric power systems and determining the optimal operating values of fossil fuel thermal generation units. The FFDB-based SAO algorithm (FFDBSAO) controls early convergence problems through balancing exploration-exploitation and improves the solving of high-dimensional optimization problems. In the light of extensive experimental studies conducted on CEC2020, CEC2022, and classical benchmark test functions, the FFDBSAO2 algorithm has shown superior performance against its competitors. Wilcoxon and Friedman's statistical analysis results confirm the performance and efficiency of the algorithm. Moreover, the proposed algorithm significantly reduces total fuel cost by optimizing fossil fuel thermal generation units. According to the results, the scalability and robustness of the algorithm make it a valuable tool for solving large-scale optimization problems in the planning of electric power systems.
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    Novel active-passive compensator-supercapacitor modeling for low-voltage ride-through capability in DFIG-based wind turbines
    (Springer, 2019) Dosoglu, M. Kenan; Ozkaraca, Osman; Guvenc, Ugur
    Low-voltage ride-through is important for the operation stability of the system in balanced- and unbalanced-grid-fault-connected doubly fed induction generator-based wind turbines. In this study, a new LVRT capability approach was developed using positive-negative sequences and natural and forcing components in DFIG. Besides, supercapacitor modeling is enhanced depending on the voltage-capacity relation. Rotor electro-motor force is developed to improve low-voltage ride-through capability against not only symmetrical but also asymmetrical faults of DFIG. The performances of the DFIG with and without the novel active-passive compensator-supercapacitor were compared. Novel active-passive compensator-supercapacitor modeling in DFIG was carried out in MATLAB/SIMULINK environment. A comparison of the system behaviors was made between three-phase faults, two-phase faults and a phase-ground fault with and without a novel active-passive compensator-supercapacitor modeling. Parameters for the DFIG including terminal voltage, angular speed, electrical torque variations and d-q axis rotor-stator current variations, in addition to a 34.5 kV bus voltage, were investigated. It was found that the system became stable in a short time and oscillations were damped using novel active-passive compensator-supercapacitor modeling and rotor EMF.
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    Theoretical analysis for low voltage ride through capability in doubly-fed induction generator-based wind turbines with stator resistive hardware model
    (Springer, 2024) Dosoglu, M. Kenan
    Grid code requirements must be provided in the grid-connected operation of Doubly fed induction generator (DFIG)-based wind turbines. For this, many methods have been developed in DFIG-based wind turbines. Low voltage ride through (LVRT) capability is one of the most effective methods to meet the grid code requirement in DFIG. LVRT is the principal method used to decrease voltage dips and overcurrents caused by various symmetrical and asymmetrical faults. One of the efficient and economical methods of providing LVRT capability is Stator resistive hardware model (SRHM). This study developed the SRHM to remove oscillation that may occur during symmetrical and asymmetrical faults. In addition, stator-rotor electromotive force models in DFIG were enhanced with the aim of increasing simulation study performance, calculation, and stability in the system during various faults. In both symmetrical and asymmetrical fault operations, the results indicated that the proposed SRHM and stator-rotor electromotive force models provided dynamic stability of the system and eliminated oscillations.