Yazar "Kahraman, H. Tolga" seçeneğine göre listele

Listeleniyor 1 - 5 / 5
  • Küçük Resim
    Öğe
    Application of Symbiotic Organisms Search Algorithm to Solve Various Economic Load Dispatch Problems
    (Ieee, 2016) Güvenç, Uğur; Duman, Serhat; Döşoğlu, M. Kenan; Kahraman, H. Tolga; Sönmez, Yusuf; Yılmaz, Cemal
    This paper proposes the application of Symbiotic Organisms Search (SOS) Algorithm to solve the various Economic Load Dispatch (ELD) problems. Both classical ELD problem which has smooth fuel cost function and nonconvex ELD problem which has nonconvex and discontinuous fuel cost function due to considering of some practical constraints like valve point effects, ramp rate limits and prohibited generating zones have been solved in the study. Three different test cases have been used to show the efficiency and reliability of the proposed algorithm. 38-unit test system has been used for classical ELD and 3-unit and 15-unit test systems have been used for nonconvex ELD problem. Results have been compared to various heuristic methods reported before in the literature and they show that proposed algorithm converges to the global optimum in early iterations and can produce superior results than others in the solution of ELD problems which have both smooth and nonconvex and discontinuous fuel cost function.
  • Küçük Resim
    Öğe
    A Comperative Study on Novel Machine Learning Algorithms for Estimation of Energy Performance of Residential Buildings
    (Ieee, 2015) Sönmez, Yusuf; Güvenç, Uğur; Kahraman, H. Tolga; Yılmaz, Cemal
    This study aims to improve the energy performance of residential buildings. heating load (HL) and cooling load (CL) are considered as a measure of heating ventilation and air conditioning (HVAC) system in this process. In order to achive an effective estimation, hybrid machine learning algorithms including, artificial bee colony-based k-nearest neighbor (abc-knn), genetic algorithm-based knn (ga-knn), adaptive artificial neural network with genetic algorithm (ga-ann) and adaptive ann with artificial bee colony (abc-ann) are used. Results are compared classical knn and ann methods. Thence, relations between input and target parameters are defined and performance of well-known classical knn and ann is improved substantialy.
  • Küçük Resim
    Öğe
    Symbiotic organisms search algorithm for dynamic economic dispatch with valve-point effects
    (Taylor & Francis Ltd, 2017) Sönmez, Yusuf; Kahraman, H. Tolga; Döşoğlu, M. Kenan; Güvenç, Uğur; Duman, Serhat
    In this study, symbiotic organisms search (SOS) algorithm is proposed to solve the dynamic economic dispatch with valve-point effects problem, which is one of the most important problems of the modern power system. Some practical constraints like valve-point effects, ramp rate limits and prohibited operating zones have been considered as solutions. Proposed algorithm was tested on five different test cases in 5 units, 10 units and 13 units systems. The obtained results have been compared with other well-known metaheuristic methods reported before. Results show that proposed algorithm has a good convergence and produces better results than other methods.
  • Küçük Resim
    Öğe
    Symbiotic organisms search algorithm for economic load dispatch problem with valve-point effect
    (Elsevier Science Bv, 2018) Güvenç, Uğur; Duman, Serhat; Sönmez, Yusuf; Kahraman, H. Tolga; Döşoğlu, M. Kenan
    Symbiotic Organisms Search (SOS) is a brand new and effective metaheuristic optimization algorithm. This paper proposes the SOS algorithm to solve the Economic Load Dispatch (ELD) problem with valve-point effect, which is one of the essential optimization problems in modern power systems. The proposed algorithm is tested on five different test cases consisting of 3-machine 6-bus, IEEE 5-machine 14-bus, IEEE 6-machine 30-bus, and 13- and 40-unit test systems both with transmission loss and without transmission loss. These test cases show that SOS is able to converge on the global optima, successfully. Moreover, results obtained from the proposed algorithm are compared through different methods used in solving the ELD problem existing in the literature. According to these results, SOS produces the best values among all methods. (C) 2018 Sharif University of Technology. All rights reserved.
  • Küçük Resim
    Öğe
    Symbiotic organisms search optimization algorithm for economic/emission dispatch problem in power systems
    (Springer, 2018) Döşoğlu, Mehmet Kenan; Güvenç, Uğur; Duman, Serhat; Sönmez, Yusuf; Kahraman, H. Tolga
    This paper presents symbiotic organisms search (SOS) algorithm to solve economic emission load dispatch (EELD) problem for thermal generators in power systems. The basic objective of the EELD is to minimize both minimum operating costs and emission levels, while satisfying the load demand and all equality-inequality constraints. In other research direction, this multi-objective problem is converted into single-objective function by using price penalty factor approach in order to solve it with SOS. The proposed algorithm has been implemented on various test cases, with different constraints and various cost curve nature. In order to see the effectiveness of the proposed algorithm, its results are compared to those reported in the recent literature. The results of the algorithms indicate that SOS gives good results in both systems and very competitive with the state of the art for the solution of the EELD problems.