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  1. Ana Sayfa
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Yazar "Eminoglu U." seçeneğine göre listele

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  • Küçük Resim Yok
    Öğe
    A network topology-based voltage stability index for radial distribution networks
    (2009) Eminoglu U.; Hocaoglu M.H.
    This paper presents a network topology-based voltage stability index for identifying the most sensitive bus to the voltage collapse in the radial distribution networks. The developed index is based on the transferred active and reactive power equation of the distribution line. Network topology algorithm based on the bus-injection to branch-current (BIBC) matrix has been used for implementation of developed stability index to the radial distribution networks. The performance of the index is tested on different loading conditions for different load models and different substation voltage levels. Results suggest that the proposed index is reliable and can easily be applied to the modern radial distribution networks which have distributed generation (DG) sources and/or voltage controllers.
  • Küçük Resim Yok
    Öğe
    An energy cost minimization algorithm for wind turbine system design
    (Praise Worthy Prize S.r.l, 2011) Eminoglu U.
    Optimal Wind Turbine System (WTS) design for one location is not necessarily the optimal design for another location because the wind speed distribution may wary between locations. For wind turbine design, the most important design variables may be listed as generator capacity, rotor diameter and hub height. This is due to the fact that a larger rotor captures more energy and a larger generator can capture more energy as well but also costs more. Moreover, the wind speed increase with hub height but so does the tower cost. They must match one another and the optimal match is dependent on the site's wind conditions. Accordingly, this paper introduces a design optimization algorithm based on minimizing the cost of energy of a Horizontal Axis Wind Turbine (HAWT) to be operated at a specific wind site. The algorithm uses probability distributions of wind speed and computes optimal values of HAWTs' design parameters such as generator capacity, rotor diameter and hub height by taking into account site's wind condition to generate electrical energy in minimum cost. © 2011 Praise Worthy Prize S.r.l. - All rights reserved.
  • Küçük Resim Yok
    Öğe
    Analysis of facts devices for dynamic loads using Matlab
    (2003) Eminoglu U.; Yalcinoz T.; Herdem S.
    The modern power system is a complex dynamic system consisting of a large number of different dynamic devices, such as synchronous machines and loads. The system is continually subjected to sudden small disturbance in load. Load parameters are generally uncertain and loads often exhibit some dynamic response. This paper investigates the effect of dynamic loads on Thyristor Controlled Series Capacitors (TCSC) and Static Var Compensator (SVC) devices. In this paper, a PI controller is used to control of SVC and TCSC using Matlab Simulink and Power System Blockset. The graphic interface of Simulink provides a user-friendly environment where the power circuit and control system are represented in the same diagram. The design and testing of Flexible AC Transmission Systems (FACTS) devices are verified using Matlab. The studied power system is a simple two buses system with the 100 km distributed parameter line. For different load levels, we examine the effects of SVC and TCSC on the load voltages.
  • Küçük Resim Yok
    Öğe
    Modeling of wind turbine systems and analyses of their output characteristics on distribution systems with voltage/frequency dependent static loads (Part I: Modeling and simulation of electrical loads) [Rüzgâr türbini sistemlerinin modellenmesi ve farkli gerilim/frekans bagimli statik yüklü dagitim sistemlerinde çikiş karakteristiginin i·ncelenmesi (Bölüm I: Elektriksel yüklerin modellenmesi ve simülasyonu)]
    (2010) Eminoglu U.; Karakoç T.
    Recent research and development of alternative energy sources and their implementation into the power systems have shown excellent potential. Wind Turbine Systems (WTSs), which have important advantages in electricity generation, are one of the alternative energy sources and their incorporation into the power system studies especially load flow analysis is an important issue for realistic analyses. In this study, the effects of static loads on the output characteristics of WTS are analyzed. For this purpose, in this paper, Simulink realization of static loads is provided by using Matlab/Simulink SimPowerSystems Blockset and Developed Simulink model are validated by comparing simulation results with those obtained from load flow analyses. It is observed from analyses that developed model is reliable, and could be effectively used to investigate the system dynamic for various static load models.
  • Küçük Resim Yok
    Öğe
    Modeling of wind turbine systems and analyses of their output characteristics on distribution systems with voltage/frequency dependent static loads (Part II: Modeling and simulation of wind turbine systems) [Rüzgâr türbini sistemlerinin modellenmesi ve farkli gerilim/frekans bagimli statik yüklü dagitim sistemlerinde çikiş karakteristiginin i·ncelenmesi (Bölüm II: Rüzgâr türbini sistemlerinin modellenmesi ve simülasyonu)]
    (2010) Eminoglu U.; Karakoç T.
    In this paper, the effects of static loads on the output characteristics of Wind Turbine Systems are analyzed. For this purpose, Simulink realization of Wind Turbine Systems is provided by using Matlab/Simulink SimPowerSystems Blockset and simulated in a test system with voltage/frequency dependent static loads, which are also modelled in Matlab/Simulink. It is observed from simulations that a Wind Turbine Systems connected to a system experiences frequency deviation will exhibit different voltage and output power characteristics for different static load types.
  • Küçük Resim Yok
    Öğe
    Power distribution load forecasting using artificial neural networks
    (2003) Eminoglu U.; Yalcinoz T.; Herdem S.
    This paper presents a load forecasting method applied to electricity consumption in Nigde region. The load forecasting method is based on the Multi-Layered Perceptron (MLP) neural network (NN). Three MLP structures are compared for obtaining the best forecasting results. Then, the results of the best MLP structure are compared with the moving average method. The suitability of the proposed method is illustrated through an application to real load shapes form Turkish Electricity Distribution Corporation (TEDAS) in Nigde. The data represents the monthly electricity consumption in Nigde, Turkey. The proposed method is applied to the data from January 1991 to December 2001.

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