Yazar "Eke, Ibrahim" için listeleme
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Design of Integer Order Approximation Fractional Order Controller with for Automatic Voltage Regulation System
Yildirim, Burak; Ozdemir, Mahmut Temel; Eke, Ibrahim (Ieee, 2019)Maintaining the voltage value, which is one of the most important parameters of electrical power systems, is vital for modern power systems. In this study, the application of an Integer Order Approximation Fractional Order ... -
Economic Load Dispatch Using Vortex Search Algorithm
Saka, Mustafa; Eke, Ibrahim; Tezcan, Suleyman Sungur; Taplamacioglu, M. Cengiz (Ieee, 2017)Economic load dispatch (ELD) is one of most fundamental issue for energy generation and distribution in power systems. For this purpose, different optimization techniques are developed and applied to ELD problem. In this ... -
Gravitational Search Algorithm (GSA) Based PID Controller Design for Two Area Multi-Source Power System Load Frequency Control (LFC)
Safi, Shah Jahan; Tezcan, Suleyman Sungur; Eke, Ibrahim; Farhad, Zakirhussain (Gazi Univ, 2018)This paper presents the design and performance analysis of a meta-heuristic search technique (Gravitational-Search-algorithm) for optimal tuning of Proportional-Integral-Derivative plus Filter (PIDF) controller for automatic ... -
Heuristic Optimization for Wind Energy Integrated Optimal Power Flow
Bai, Wenlei; Eke, Ibrahim; Lee, Kwang Y. (Ieee, 2015)Wind energy has been playing a critical role in modern electric power system due to the fact that wind is free of cost and environment-friendly. However the inherent intermittency of wind has complicated system operation ... -
Improved Artificial Bee Colony Based on Orthognal Learning for Optimal Power Flow
Bai, Wenlei; Eke, Ibrahim; Lee, Kwang Y. (Ieee, 2015)Optimal power flow (OPF) problem is to optimize an objective function (usually total cost of generation), while satisfying system constraints. The OPF is a non-linear and non-convex problem, and an artificial bee colony ... -
An improved artificial bee colony optimization algorithm based on orthogonal learning for optimal power flow problem
Bai, Wenlei; Eke, Ibrahim; Lee, Kwang Y. (Pergamon-Elsevier Science Ltd, 2017)The increasing fuel price has led to high operational cost and therefore, advanced optimal dispatch schemes need to be developed to reduce the operational cost while maintaining the stability of grid. This study applies ... -
New Optimization Algorithms for Application to Environmental Economic Load Dispatch in Power Systems
Akkas, Ozge Pinar; Cam, Ertugrul; Eke, Ibrahim; Arikan, Yagmur (Istanbul Univ, Fac Engineering, 2018)The determination of the most economical generation dispatch in an electrical power system has become a very important issue globally. However, economical dispatch can no longer be considered alone because of environmental ... -
Optimal Scheduling of Distributed Energy Resources by Modern Heuristic Optimization Technique
Bai, Wenlei; Eke, Ibrahim; Lee, Kwang Y. (Ieee, 2017)The increasing number and types of energy resources and prosumers has complicated the operation in microgrid greatly. Such problem becomes a hard-to-solve or even impossible-to-solve for traditional mathematical algorithms ... -
A Robust PID Power System Stabilizer Design of Single Machine Infinite Bus System using Firefly Algorithm
Farhad, Zakirhussain; Eke, Ibrahim; Tezcan, Suleyman Sungur; Safi, Shah Jahan (Gazi Univ, 2018)This paper presents the design of a proportional-integral-derivative power-system-stabilizer using the firefly algorithm for tuning of stabilizer parameters and washout (reset). The proposed optimization of parameters is ... -
Solving economic load dispatch problem with valve-point effects using filled function
Eke, Ibrahim; Tezcan, Suleyman Sungur; Celik, Coskun (Gazi Univ, Fac Engineering Architecture, 2017)This paper presents a filled function method to solve economic load dispatch (ELD) of the thermal unit. The proposed method can take care of ELD considering nonlinearity such as valve point loading. The effectiveness of ... -
Tuning of Optimal Classical and Fractional Order PID Parameters forAutomatic Generation Control Based on the Bacterial Swarm Optimization
Ozdemir, Mahmut T.; Ozturk, Dursun; Eke, Ibrahim; Celik, Vedat; Lee, Kwang Y. (Elsevier Science Bv, 2015)Particle Swarm Optimization algorithm converges rapidly during the initial stage of a global search, but around global optimum, the search process slows down. In order to overcome this problem and to further enhance the ...