Yazar "Yalcinoz T." seçeneğine göre listele
Listeleniyor 1 - 7 / 7
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe A new genetic algorithm with arithmetic crossover to economic and environmental economic dispatch(2005) Yalcinoz T.; Altun H.This paper presents a new genetic approach based on arithmetic crossover for solving the economic dispatch and environmentally constrained economic dispatch problems. Elitism, arithmetic crossover and mutation are used in the genetic algorithm to generate successive sets of possible operating policies. The proposed technique improves the quality of the solution. The employed arithmetic crossover operation takes the real values presented by two individuals and produced new generation on the basis of the arithmetic mean. For economic dispatch problem, the new genetic approach is compared with an improved Hopfield NN approach (IHN), a fuzzy logic controlled genetic algorithm (FLCGA), an advance engineered-conditioning genetic approach (AECGA) and an advance Hopfield NN approach (AHNN). The results of the proposed approach for environmentally economic dispatch are compared with the results of the Taboo Search (TS), the Hopfield NN and a neural networks approach. © 2005 CRL Publishing Ltd.Öğe An application of tabu search to economic dispatch problem(2003) Yavuzer T.; Yalcinoz T.In this paper, the tabu search method is applied to economic dispatch problem. The proposed method has achieved efficient and accurate solutions for power systems with 3 and 6 units. The results of the proposed method are compared with those of an improved Hopfield neural network approach (IHN) [1], a fuzzy logic controlled genetic algorithm (FLCGA) [2], an advance engineered-conditioning genetic approach (AECGA) [3] and an advance Hopfield neural network approach (AHNN) [4]. The results show that the proposed method is capable of being applied efficiently to the economic dispatch problem.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 Application of neural networks to unit commitment(IEEE, Piscataway, NJ, United States, 1999) Yalcinoz T.; Short M.J.; Cory B.J.In this paper, an improved Hopfield neural network which was described in [1] is applied to unit commitment problem. A new mapping process has been used and a computational method for obtaining the weights and biases is described using a slack variable technique for handling inequality constraints.Öğe Economic dispatch solution using a genetic algorithm based on arithmetic crossover(2001) Yalcinoz T.; Altun H.; Uzam M.In this paper, a new genetic approach based on arithmetic crossover for solving the economic dispatch problem is proposed. Elitism, arithmetic crossover and mutation are used in the genetic algorithm to generate successive sets of possible operating policies. The proposed technique improves the quality of the solution. The new genetic approach is compared with an improved Hopfield NN approach (IHN) [1], a fuzzy logic controlled genetic algorithm (FLCGA) [2], an advance engineered-conditioning genetic approach (AECGA) [3] and an advance Hopfield NN approach (AHNN) [4]. © 2001 IEEE.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.Öğe Power economic dispatch using a hybrid genetic algorithm(2001) Yalcinoz T.; Altun H.This letter outlines a hybrid genetic algorithm (HGA) for solving the economic dispatch problem. The algorithm incorporates the solution produced by an improved Hopfield neural network (NN) [1] as a part of its initial population. Elitism, arithmetic crossover, and mutation are used in the GAs to generate successive sets of possible operating policies. The technique improves the quality of the solution and reduces the computation time, and is compared with the classical optimization technique, an improved Hopfield NN approach (IHN) [1], a fuzzy logic controlled GA (FLCGA) [2], and an improved GA (IGA) [3].
