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Öğe A fast algorithm to compute the steady-state solution of nonlinear circuits by piecewise linearization(2002) Herdem S.; Köksal M.In the last few decades, many types of nonlinear components that operate in switching modes have appeared in electrical and electronics engineering. These components are conveniently modeled by piecewise linearization which results with linear circuits containing switches. Hence, the analysis of such circuits has gained more importance. In this paper, a fast algorithm for the steady-state solution of the nonlinear circuits of this type is considered. This algorithm implements maximum advantage when the nonlinearities are discrete and strong as in most of the power electronics semiconductor devices. © 2002 Elsevier Science Ltd. All rights reserved.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.Öğe Analysis of nonlinear circuits by using differential Taylor transform(2002) Köksal M.; Herdem S.An effective but not widely used method, differential Taylor transform, is introduced for the analysis of the nonlinear electrical circuits. To apply the method the differential transform of the mathematical model of the system is obtained first, and then the response function is evaluated by using the inverse transform of the differential spectra. The inverse transform can be written in the form of Taylor series. The method is described with two examples for nonlinear electrical circuits. © 2002 Elsevier Science Ltd. All rights reserved.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.