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    ACTIVE POWER LOSS MINIMIZATION IN ELECTRIC POWER SYSTEMS THROUGH CHAOTIC ARTIFICIAL BEE COLONY ALGORITHM
    (Univ Osijek, Tech Fac, 2016) Kuru, Leyla; Öztürk, Ali; Kuru, Ersen; Çobanlı, Serkan
    Reactive power optimization (RPO) is a major field of study to ensure power systems for operating in a secure and economical manner. RPO can be used for decreasing of active power losses, voltage control, and for the optimization of the power coefficients in power systems. The non-linear power loss function is used as an object function that will be minimized. In this study Chaotic Artificial Bee Colony (CABC) algorithm is used to minimize the active power loss of power systems. Chaotic maps such as logistic map and Henon map are used against the random number generator. CABC is applied on the IEEE6-bus and IEEE 30-bus test systems and the results are shown. Accordingly, the results have been evaluated and observed that the stability critical values found by CABC can be used to produce good potential solutions. Simulation results are promising and show the effectiveness of the applied approach.
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    Determination of voltage stability boundary values in electrical power systems by using the Chaotic Particle Swarm Optimization algorithm
    (Elsevier Sci Ltd, 2015) Kuru, Leyla; Öztürk, Ali; Kuru, Ersen; Kandara, O.
    A power system has critical values which are the limit values of voltage stability. These values are the highest active power taken by the load busses, voltage amplitude and the angle of the busses. In this research the critical values in electric power systems are defined with use of Chaotic Particle Swarm Optimization (CPSO) algorithm. In this study CPSO has been aimed to use logistic map and Henon map as chaotic maps to control the values of the parameters in velocity update formulation. Initially, critical values of voltage stability have been found by simple Particle Swarm Optimization (PSO). Then the same values have been found with CPSO. Accordingly, the results have been evaluated and observed that the stability critical values found by CPSO can be used to produce good potential solutions. Simulation results are promising and show the effectiveness of the applied approach. (C) 2014 Elsevier Ltd. All rights reserved.
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    PREDICTION of POWER SYSTEMS HARMONIC USING FUZZY LOGIC
    (2022) Kuru, Ersen; Tekin, Leyla
    This paper presents a new approach for predicting the Voltage Total Harmonic Distortion (THDV ) in power systems. We benefit from a power system with nonlinear dynamic load belonging to an Iron and Steel Industry. In this power system the nonlinear load consist of DC motor drives, high frequency welding machine, thyristor controlled AC chopper, rectifier and invertor. Especially high frequency machines used in heating and welding process in an iron and steel industry are playing rol in voltage distortions. Basic relationships about harmonics, effects of the harmonics and ways for the THDV measurement are described in the firstly and prediction of THDV using Fuzzy Inference Systems (FIS) are examined in the secondly part of the paper. Power Factor (PF), and 3rd phase current (IL3) values are measured for an example system. After FIS is designed for prediction of THDV and method is tested using both FIS simulation and field measurements, the proposed fuzzy prediction approach is successfully applied to predict THDV
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    Weight optimization of a dry type core form transformer by using particle swarm optimization algorithm
    (Sila Science, 2012) Demir, Hüseyin; Öztürk, Ali; Kuru, Leyla; Kuru, Ersen
    There are two imported parameters affecting the weight of a transformer. These are the iron part and the copper part of a transformer. Reducing the weight is the basic criteria to reduce the cost of a transformer. In this study, a partial swarm optimization (PSO) method is used to optimize the weight of a three phase core form dry type transformer. The total weight of the transformer (G(T)), has been accepted as the goal function. The constraints are added to the fitness function as the penalty function to constrain fitness function values. The efficiency ( ) and (Ls/a) has been taken as constraints. The fitness function has been obtained as a function of current density and transformer iron cross section convenience value. The critical values have been computed using the PSO method and the results have been evaluated. The results are compared with the results of the classical method, described in. The total weight which has been founded by using PSO is less than the weight which is founded with the classical method. The weight of a 1,5 KVA three phase core form dry type transformer, founded by using PSO, is 23.5547 kg whereas the weight, founded by classical method was 30.84 kg. It has been seen that intuitive PSO method is an alternative and better way to estimate the minimum weight values.