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    Analysis of Induction Motor-pump System Supplied by a Photovoltaic Generator for Agricultural Irrigation in Southeastern Anatolian Region of Turkey
    (Springer Singapore Pte Ltd, 2015) Gumus, Bilal; Yakut, Yurdagul Bentesen
    In agricultural systems, significant amount of energy is consumed during irrigation periods. Therefore operating irrigation systems with electrical energy produced by solar energy is very important. It is be possible to operate irrigation systems which have small-pump power like drip-irrigation with electrical energy produced by solar energy. Electrical energy produced by photovoltaic panels can vary from the estimated value due to environmental factors. Consequently analysis of a real system's performance is important. Thus, more correct projections can be made for the systems which will be designed. In this study, induction motor-pump mechanism for drip-irrigation system is operated with photovoltaic generator. Solar energy capacity of the established system is evaluated by measurements in irrigation periods. By means of simulations, power values produced by system and gained from the actual system are compared. Additionally the performance of induction motor is analyzed with the help of the driver system that increases the efficiency and controls the motor. As regards of results, design values of the drip-irrigation systems fed with solar energy in Southeastern Anatolian Regions of Turkey are obtained. Performance results of induction motor controlled with driver are also provided.
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    Analysis of Permanent Magnet Synchronous Motor Current in Healthy and Short Circuit Failure Cases With Discrete Wavelet Transform
    (Ieee, 2019) Lale, Timur; Ozerdem, Mehmet Sirac; Gumus, Bilal
    In permanent magnet synchronous motors, stator inter-turn short circuit fault caused by insulation in windings causes an overcurrent in phase winding. Purpose of this study, discrete wavelet transform technique is used to diagnose stator inter-turn short circuit fault in permanent magnet synchronous motor. In this study, stator current in healthy and two different fault conditions was evaluated. Variation of the detail components of the stator current obtained by the wavelet analysis according to the stator short circuit fault intensity was investigated. Stator phase currents d5, d6, d7, d8 and d9 detail coefficients in the frequency band by looking at the change in the average peak amplitude stator winding has been found to contain information about the occurrence of a short circuit fault.
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    Analysis of Stator Inter-turn Short-circuit Fault Signatures for Inverter-fed Permanent Magnet Synchronous Motors
    (Ieee, 2016) Cira, Ferhat; Arkan, Muslum; Gumus, Bilal; Goktas, Taner
    It is quite important to detect stator short-circuit fault, which is the most common fault type, at incipient stage. It is possible to carry out fault detection using Motor Current Signature Analysis (MCSA) method. In this study, stator current and voltage space vectors of PMSMs were analyzed with MCSA under various load torque, speed and fault percentages conditions. The Negative & positive harmonics were obtained by applying Fast Fourier Transform (FFT) to space vectors of stator current and voltage. It is suggested that by using the obtained fault signatures, stator inter-turn fault estimation can be achieved accurately. The results of comprehensive analysis carried out under various load torque and speed conditions show that characteristics fault signatures are both present in the current and the voltage space vectors spectra.
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    AN APPROACH TO THE EVALUATION OF RE-FUNCTIONED HISTORICAL BUILDINGS IN VIEW OF NATURAL LIGHTING, A CASE STUDY IN DIYARBAKIR TURKEY
    (Znack Publishing House, 2011) Aykal, Demet; Gumus, Bilal; Unver, Rengin; Murt, Ozgur
    Today, re-functioning cultural heritage by preserving the buildings within the scope of historical heritage is one of the most important issues in the area of cultural heritage management. The re-functioning should be adapted to the building so that it reflects and conserves the original functions. Natural lighting is also an important parameter in such re-functioned buildings. In this study, an approach is introduced for evaluating re-functioned historical buildings in terms of natural lighting. Data for evaluating the original and new functions of historical structures in terms of natural lighting are proposed. As an example of this evaluation approach, three re-functioned historical buildings in Diyarbakir Historical Housing Texture have been examined in terms of natural illumination. The evaluation process and the results were obtained in different months, seasons and also different weather conditions for the Cahit Sitki Taranci House in Diyarbakir. The house studied within the context of this case study using the proposed approach is presented in this article.
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    Chaotic Analysis of the Gloabal Solar Irradiance
    (Ieee, 2017) Ytlmaz, Musa; Gumus, Bilal; Kilic, Heybet; Asker, M. Emin
    The use of solar energy is increasing for power generation and other uses. In order to meet these demands and make better predictions, it is necessary to understand and explain the dynamics of the solar parameters. Nonlinear dynamics and associated tools can provide better results in the analysis. The meteorological events are based time series and has a dynamic chacteristic therefore this paper proposes a different approach to analysis of solar parameter that is called chaotic analysis of the solar parameters such as global solar irradiance(GSI) based on times series approach. The chaotic behavior of global solar irradiation and sunshine duration are tested by phase spaces and Lyapunov Exponents. It is crucial to measure and analysis with a high accuracy solar parameters to benefit maximally form a specific region solar energy potential. In the application, four solar irradiation sites are considered from different solar energy potential locations in Turkey, namely, at Diyarbakir, Gaziantep, Batman and Mardin cities.
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    Comparison and Performance Analysis of Model Predictive Control Developed by Transfer Function Based Model and State Space Based Model for Brushless Doubly Fed Induction Generator
    (Springer Singapore Pte Ltd, 2023) Al-khamis, Omran Al-abed; Gumus, Bilal
    Model predictive control (MPC) is an important control technique for Brushless doubly-fed induction generators (BDFIGs) which are commonly used for wind turbines, and its control performance can be affected by the MPC design. In this study, the performances of the transfer function based model and the state space based model are compared in MPC design for BDFIG. For this purpose, transfer function based model predictive control (TFMPC) and state space based model predictive control (SSMPC) were developed for BDFIG. The vector control of the BDFIG was simulated using the designed MPCs. The simulation results have shown that TFMPC produces better results than SSMPC. Additionally,The simulation results clearly show the effectiveness and good response of TFMPC in both dynamic operation and steady-state operation. TFMPC reduces power ripple and decreases harmonics, resulting in an improvement in the quality of the electrical power generated by the BDFIG. The reference value (set point) was brought closer to the set point with TFMPC, and the duration of the transient condition was also reduced in this system. The study demonstrated that using the transfer function to calculate the parameters of the MPC can eliminate the drawbacks of other design models.
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    Detection of Stator Winding Inter-Turn Short Circuit Faults in Permanent Magnet Synchronous Motors and Automatic Classification of Fault Severity via a Pattern Recognition System
    (Springer Singapore Pte Ltd, 2016) Cira, Ferhat; Arkan, Muslum; Gumus, Bilal
    In this study, automatic detection of stator winding inter-turn short circuit fault (SWISCFs) in surface-mounted permanent magnet synchronous motors (SPMSMs) and automatic classification of fault severity via a pattern recognition system (PRS) are presented. In the case of a stator short circuit fault, performance losses become an important issue for SPMSMs. To detect stator winding short circuit faults automatically and to estimate the severity of the fault, an artificial neural network (ANN)-based PRS was used. It was found that the amplitude of the third harmonic of the current was the most distinctive characteristic for detecting the short circuit fault ratio of the SPMSM. To validate the proposed method, both simulation results and experimental results are presented.
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    Fault detection in photovoltaic arrays: a robust regularized machine learning approach
    (Federacion Asociaciones Ingenieros Industriales Espana, 2020) Kilic, Heybet; Gumus, Bilal; Yilmaz, Musa
    In this paper, a robust data-driven method for fault detection in photovoltaic (PV) arrays is proposed. Our method is based on the random vector functional link networks (RVFLN) which has the advantage of randomly assigning hidden layer parameters with no tuning. To eliminate the effect of measurement noise and overfitting in the training process which reduce the fault detection accuracy, the sparse-regularization method is utilized which uses l2-norm with loss weighting factor to compute the output weights. To attain strong robustness against the outlier samples, the non-parametric kernel density estimation is employed to assign a loss weighting factor. Through rigorous simulation and experimental studies, we validate the performance of our proposed method in detecting the short and open circuit faults based on only the output current and voltage measurements of PV arrays. In addition to stronger robustness comparing with the least square-support vector machine, we also show that our proposed method provides 80% and 100% average detection accuracy for short circuit and open circuit, respectively.
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    Hardware In The Loop (HIL) MATLAB/Simulink Co-Simulation Of Shunt Active Power Filter
    (Gazi Univ, 2023) Donuk, Hakan; Gumus, Bilal
    Semiconductor circuit elements constitute the cornerstones of software power electronics applications, including the central control unit (MKB) and the algorithm. Faults that may occur in the central processing unit can damage the semiconductor elements on the plant. Therefore, the hardware-assisted simulation of the software prepared for a power electronics application before the experimental study by using the processor hardware itself will be useful. In this study, the common simulation model of the Shunt Active Power Filter (SAPF) system is prepared in Simulink, tested by using digital signal processor (DSP) software and hardware, and compared with the simulation results without hardware. The voltage and current data coming from the power stage in Simulink simulation to the DSP are processed here and the control signals are created in the hardware, these signals created in the DSP are taken into the Simulink environment and applied to the inverter part of the prepared model. This hardware supported common simulation model, in which software testing of the DSP is performed before the experimental study, prepares a common simulation environment for other power electronics applications. Hardware supported 3-phase SAPF co-simulation model in the loop was prepared, tested in Matlab / Simulink environment and simulation results were presented.
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    A New Approach to Detect Stator Fault in Permanent Magnet Synchronous Motors
    (Ieee, 2015) Cira, Ferhat; Arkan, Muslum; Gumus, Bilal
    In this paper, detection of the stator winding inter-turn short circuit fault (SWISCF) in surface-mounted permanent magnet synchronous motors (SPMSMs) and classification of the fault severity via pattern recognition system (PRS) are presented. In order to automatically detect stator winding short circuit fault and to estimate severity of this fault, artificial neural network (ANN) based PRS has been used. It has been observed that the amplitude of the 3rd harmonics of the current is the most distinctive characteristic for detecting the short circuit fault ratio of the SPMSM. To increase the fault clasification accuracy of PRS both fundamental (1st) and 3rd harmonics are used. In order to validate proposed method experimental results are presented.
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    A New Soft-Switching Control Technique and Loss Analysis for Parallel Resonant DC-Link Inverter Connected to the Grid
    (Univ Osijek, Tech Fac, 2022) Donuk, Hakan; Gumus, Bilal
    This study is recommended to develop a soft-switching control software infrastructure that enables more efficient and effective use of parallel resonant DC link circuits. The fact that the control technique can be easily applied to the soft switching circuit makes it important in this field. With this proposed study, lower voltage ripple and higher efficiency are obtained. To see the results of the technique and to study its effect, a study was carried out on a grid connected inverter. When the frequency changes between 5-15 kHz and 5-10 kW power is transmitted to the grid, the soft switching effect is studied and the efficiency is increased. A software model for calculating the power losses of semiconductor switches has also been established. Using this modeling approach, the power consumption is calculated in detail and the loss analysis is performed using catalog data of semiconductor switches. The accuracy of the obtained results was compared with another simulator. While the PRDCL inverter using the new proposed switching technique transmits 10 kW of power to the grid, the efficiency increased from 97.67% to 98.61% at a switching frequency of 5 kHz, from 96.82% to 98.58% at a switching frequency of 10 kHz, and from 95.61% to 98.55% at a switching frequency of 15 kHz.
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    Sensorless vector control of a permanent magnet synchronuous motor with fuzzy logic observer
    (Springer, 2006) Gumus, Bilal; Ozdemir, Mehmet
    In this paper, a new method for sensorless vector control of a permanent magnet synchronous motor (PMSM) using a fuzzy logic observer is developed. This method is based on determination of rotor position and thereby speeds by estimating back-emf components which result from fuzzy logic observers. The rotor position angle and rotating speed are estimated by evaluating the instantaneous values of stator voltages and currents. The estimators are two fuzzy logic observers. They have two inputs: the estimated stator currents and the difference between the measured and estimated stator currents. In addition, the outputs of the fuzzy logic observers are the back-emf components in an alpha-beta reference frame. The proposed method was implemented using a MATLAB/Simulink software package program. The obtained results are within acceptable error limits for a wide speed range, from 40 rad/s up to 500 rad/s.
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    Stability Analysis of Islanded Microgrid with EVs
    (Ieee, 2018) Kilic, Heybet; Khaki, Behnam; Gumus, Bilal; Yilmaz, Musa; Asker, M. Emin
    Renewable energy resources (RESs) and electric vehicles (EVs) have emerged as powerful concepts which can replace the conventional energy and transportation systems with more flexibility and efficiency. Due to low inertia of microgrid and intermittent nature of RESs, the rapid increase in the penetration level of RESs and EVs in smart grids may lead to frequency stability issue. However, EVs, as the mobile energy storage system, can contribute to the improvement of the frequency fluctuation and stability. This paper proposes a method to control the EVs integrated in an islanded microgrid so that they participate in load frequency control (LFC). On the contrary to the approaches proposed in the literature, the proposed control method enables the investigation of time delay effect on LFC and considers the communication latency on the LFC stability. The delay-dependent stability criterion of the proposed method is derived based on Lyapunov theory in the form of linear matrix inequality (LMI). The LMI is solved to find the parameters impacting the maximum allowable delay (MAD) and to obtain the MAD by which the stability of the LFC system is guaranteed. The effectiveness of the proposed method is validated through numerical simulation of a case study.
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    TIME DEPENDENT PREDICTION OF MONTHLY GLOBAL SOLAR RADIATION AND SUNSHINE DURATION USING EXPONENTIALLY WEIGHTED MOVING AVERAGE IN SOUTHEASTERN OF TURKEY
    (Vinca Inst Nuclear Sci, 2018) Gumus, Bilal; Kilic, Hibetullah
    This paper proposes a new approach for prediction of global solar radiation and sunshine duration based on earlier years of data for the eastern region of Turkey which has a high potential of solar energy. The proposed method predicts the basic parameters using time series and an analysis method. This method is exponentially weighted moving average. This model estimates next years global solar radiation and sunshine duration and is evaluated by statistical parameters, mean absolute percentage error (MAPE) and coefficient of determination, to examine the success of the proposed technique. In our study, the result shows that this method is effective in predicting global solar radiation and sunshine duration as regards of MAPE and coefficient of determination. The calculated MAPE which are between 0-10 kWh/m(2) per day were assumed excellent and coefficient of determination were found significant per every year.