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Öğe Akilli bir ulaşim sistemi olarak trambüsün sefer saatlerinin düzenlenmesi(Institute of Electrical and Electronics Engineers Inc., 2017) Yalçin Ç.; Aydin Y.; Kaygusuz A.In this work on intelligent transport systems, a contribution has been made to become smart of Trambus transport system used in Malatya. The arrangement of the departure times of the Trambus is provided by determining the occupancy rate of the Trambus. Information about the current flow and occupancy rate of the electric motor driven Trambus has been obtained. As the occupancy rate changes, a formula is obtained by taking use of the change of the current flow from the electrical motor. The Trambuses that exceed the occupancy rate have been sent information to the center and the arrangement of additional trip has been provided. © 2017 IEEE.Öğe Damping inter-area oscillations in power systems using a CDM-based PID controller(Universitatea Politehnica din Timisoara, 2014) Keles C.; Kaygusuz A.In this paper, controls of electro-mechanical inter-area oscillations between interconnected power regions are studied. If small amplitude oscillations with low-frequency in power systems do not damp as needed, these oscillations can cause instability of power systems by limiting the system's power transmission capacity. Many control methods have been applied to interconnected systems so far. In this study, a PID controller with derivative filter for damping the inter-area oscillations is designed by Coefficient Diagram Method (CDM) parameters. Time response performances of several previous control methods, such as the derivative filter PID controller, an optimization PID controller model that was developed using MATLAB/Simulink, and the controller designed using CDM are compared. Simulation results show that the CDM-based controller is more successful than the other controllers in damping the inter-area oscillations in power systems.Öğe Frequency deviation indicators for estimation of energy balance state in smart AC grids(Institute of Electrical and Electronics Engineers Inc., 2016) Alagoz B.B.; Keles C.; Kaygusuz A.; Akcin M.Due to increasing intermittent renewable energy utilization in smart grids, smart management of energy balance is becoming major concern of research studies. In the case of highly volatile generation and demand conditions, it is very important to estimate instant energy balance state of electricity grid to preserve energy balance automatically and avoid from the cases of generation deficiency and overloading. The utility frequency deviation is commonly used to restore power imbalance in AC grids. This study gives a discussion on the utilization of frequency deviation of AC power system as an indicator of energy balance state in smart grids. We consider two approaches to estimate instant AC frequency deviation of power systems under serious harmonic and noise conditions. The first one is based on frequency to amplitude conversion technique, which use band-pass ramp filtering of AC signal. The other method is based on the sinusoidal to pulse waveform conversion, and it uses measurement of pulse periods of the resulting square waveforms. We compare these two methods and discuss their advantages and disadvantages to generate a balance error signal for smart grid applications. A brief discussion on application of these signals for smart grid energy management is given. © 2016 IEEE.Öğe Modeling with variety fractional calculus techniques of transmission line(2010) Kaygusuz A.In this study the transmission line transient analysis was performed using fractional order calculus. For this the solution of the lossy transmission line model was achieved through variety of fractional order methods. First, The diffusion equations of transmission line was obtained. Second, the fractional model of lossy line was attained. Finally the results obtained through Mittag-Leffler function and Grunwald-Letnikov approximation were compared. ©2010 IEEE.Öğe Monte Carlo simulation-based planning method for overload safe electrical power systems(Universitatea Politehnica din Timisoara, 2014) Kaygusuz A.; Alagoz B.B.; Akcin M.; Keles C.; Karabiber A.; Gul O.Operational reliability of power systems is one of the most important concerns that engineers have when planning a secure and economical electrical power system. This paper presents a probabilistic power flow analysis, based on the Monte Carlo simulation method, to support an overload safe power system designed to tolerate demand uncertainty and fluctuations of transmission parameters. Generation and transmission capacities in the power system can be estimated on the basis of operational risks and system installation costs. The proposed approach will be very useful for the rational planning of secure power distribution systems.Öğe A photovoltaic system model for Matlab/Simulink simulations(2013) Keles C.; Alagoz B.B.; Akcin M.; Kaygusuz A.; Karabiber A.Solar energy maintains life on the earth and it is an infinite source of clean energy. There is an increasing trend for the use of solar cells in industry and domestic appliances because solar energy is expected to play significant role in future smart grids as a distributed renewable source. Optimal and large-scale integration of renewable sources into smart grid is possible by the aid of computer simulations and hence there is a growing demand for computer modeling and simulation of renewable sources. This study presents a generalized photovoltaic (PV) system simulation model for Matlab/Simulink simulation environment. The proposed model is based on a behavioral cell model for modeling solar radiance to electricity conversion and an electrical driver interface for implementing electrical characteristic of power limited systems in power simulations. The model is efficient in computational complexity and it is easy to configure for representing wide-range of PV installations. © 2013 IEEE.Öğe The practical power flow analysis program based on matlab GUI developed for educational purposes for students in smart grids: Oyamatlab(SAGE Publications Inc., 2021) Çınar M.; Kaygusuz A.With the rapid development of today's technology, it has become possible to improve the electricity grid by using computer and network technologies in electricity networks. Thus, electricity grids will be able to provide sustainable, safe, and uninterrupted energy to consumers by allowing a two-way flow of information and electricity. Networks that can do this are called smart grids. Although conventional power lines have unidirectional power flow, a smart grid; enables the bidirectional flow of information and electricity by placing various hardware and software on the network. The main purpose of this study that tackles the smart grid is to introduce an educational program that can perform optimum load flow analysis based on Matlab GUI that can be used by undergraduate, graduate, and PhD students. Especially, students will be able to use the program easily in subjects related to loading flow analysis in electrical networks. Students using the program will have the opportunity to see different algorithm results in IEEE busbar systems and compare them with each other. The developed program realizes the optimum load distribution in bus systems accepted by IEEE in the smart grid using various metaheuristic algorithms and uses objective functions such as power losses, fuel cost, and voltage adjustment while performing optimum load distribution analysis. As a result of the program called Oyamatlab, optimum values in the selected busbar system are obtained. This is the program with a simple user interface for students to use without difficulty; it can perform optimum load distribution analysis by selecting different purpose functions. © The Author(s) 2021.Öğe A smart campus integrated with smart grid(Institute of Electrical and Electronics Engineers Inc., 2017) Özüpak Y.; Çetintaş G.; Kaygusuz A.Recently, smart campus projects that will improve quality of the services they received and the daily activities of students and employees in the campus environment, have been put into practise. The smart campus includes issues such as increasing energy efficiency, facilitating transportation, parking area control, provision of access to multiple services with card systems, information systems, monitoring and control of systems, authorization of users, use of social areas, water saving and security. The smart campus also means that all these components are managed centrally. In this study, it is aimed to make intelligent campus compatible with smart grid and supported by renewable energy. For that reason, improvements and solution proposal that can be made on the current situation have been presented. © 2017 IEEE.
