Browsing by Author "Lee, Kwang Y."
Now showing items 1-6 of 6
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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 ... -
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 ... -
Robust Tuning of Power System Stabilizer by Using Orthogonal Learning Artificial Bee Colony
Eke, I.; Taplamacioglu, M. C.; Lee, Kwang Y. (Elsevier Science Bv, 2015)This study presents a design technique of a robust power system stabilizer using different performance indices obtained from artificial bee colony (ABC) algorithm. The parameters of a power system stabilizer (PSS) are tuned ... -
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 ...