TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collections

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/4

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Assessment of Wind Energy Potential and Current Usage Status in Turkey and in the World
(2022) Kose, Suleyman; Köse, Faruk
While many developed countries in the world set 2050, Türkiye has determined 2053 as the year of net zero emissions target. Increase in the usage of renewable energy sources such as wind for the energy production is one of the main methods to achieve this goal. Among the renewable energy sources used for electricity production, wind energy has been the most increasing energy source in Türkiye and around the world in recent years. Today, more than 100 countries in the world generate electricity from wind energy. China, the United States of America and Germany are the top 3 countries with the highest installed capacity of wind energy for a long time. Based on 2022 data, Türkiye ranks 7th in Europe and 12th in the world with respect to the installed wind power plant capacity. Among the renewable energy sources, wind energy in Türkiye has the largest installed power and electricity production after hydroelectricity. In this study, the potential and installed capacity of the wind energy for the different countries in the world and Türkiye are analysed, the shares of the wind energy in current energy production and its contributions to the total energy consumption has been examined. The conditions that will enable the world including Türkiye to meet the energy consumption completely from renewable energy sources and the possible contribution of wind energy to all renewable resources have been estimated.
Cascade Proportional Derivative Controller for a Flexible Link Robot Manipulator Using the Bees Algorithm
(2023) Çakan, Abdullah; Kalyoncu, Mete; Gümüş, Mehmet Sefa
In this study, a flexible robot arm model and the design of its controller are introduced. The robot arm consists of a single flexible link. It is desired to control the circular position of the robot arm and the vibration of the tip point. Cascade proportional derivative controller was used to control the position and reduce the tip vibration. Controller gains were found using the bees algorithm. The weighted function of system responses such as settling time, maximum overshoot, steady-state error is used as a performance criterion while searching for the best parameters. In addition, controller gains were obtained with the genetic algorithm to evaluate the working performance of the bees algorithm. It has been observed that the Cascade PD controller, whose gains are optimized by the bees algorithm, successfully controls the flexible robot arm system and reduces the vibration of the tip point.
Hierarchical Approaches To Solve Optimization Problems
(2022) Arıcı, Ferda Nur; Kaya, Ersin
Optimization is the operation of finding the most appropriate solution for a particular problem or set of problems. In the literature, there are many population-based optimization algorithms for solving optimization problems. Each of these algorithms has different characteristics. Although optimization algorithms give optimum results on some problems, they become insufficient to give optimum results as the problem gets harder and more complex. Many studies have been carried out to improve optimization algorithms to overcome these difficulties in recent years. In this study, six well-known population-based optimization algorithms (artificial algae algorithm - AAA, artificial bee colony algorithm - ABC, differential evolution algorithm - DE, genetic algorithm - GA, gravitational search algorithm - GSA, and particle swarm optimization - PSO) were used. Each of these algorithms has its own advantages and disadvantages. These population-based six algorithms were tested on CEC’17 test functions and their performances were examined and so the characteristics of the algorithms were determined. Based on these results, hierarchical approaches have been proposed in order to combine the advantages of algorithms and achieve better results. The hierarchical approach refers to the successful operation of algorithms. In this study, eight approaches were proposed, and performance evaluations of these structures were made on CEC’17 test functions. When the experimental results are examined, it is concluded that some hierarchical approaches can be applied, and some hierarchical approaches surpass the base states of the algorithms.

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