Person: ÜLKÜ, İLAYDA
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Dr. Öğr. Üyesi
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ÜLKÜ
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İLAYDA
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Publication Metadata only Optimization of Offshore Windfarm Cable Layouts(2018-06) Alabaş Uslu, Çiğdem; ÜLKÜ, İLAYDA; 51700; 126061As renewable energy arises to be an alternative energy source around the world, installation of the wind farms increases in the areas where the wind potential is efficient. One of the design problems in the installation of wind farms is determination of cable connections between turbines and transmitter(s) to provide the flow of generated energy from each turbine to the transmitter(s) through one or more routes. While layout of turbines should minimize wake losses to provide maximum of energy production, layout of cables should provide gathering of total energy at one or more transmitters minimizing total cost of cables. The present study takes layout of a set of turbines and a single transmitter as input data and addresses the optimization of cable layout problem to minimize of total cost of cables which can be different in types and capacities. The problem is modeled as a mixed integer linear program and optimal solutions or feasible solutions are obtained to a set of test instances using the proposed model. Experiments show that the instances can be optimized up to 20 turbines and feasible solutions are available for the larger problems.Publication Metadata only A Holistic Approach For The Optimization of Offshore Wind Farm Layouts Considering Cable Layouts(2019-08) Alabaş Uslu, Çiğdem; ÜLKÜ, İLAYDA; 51700A wind farm, mainly, is composed of a set of turbines, one or more transmitters and a set of electrical cable connections between turbines and transmitters. Determination of turbine locations within the farm to maximize total power generation is called turbine location (TL) problem. Relative turbine positions affect the amount of overall energy because of wake effects. Determination of cable connections among turbines and transmitters to collect produced energy by turbines at transmitters is called cable layout (CL) problem. While TL problem is directly effective on the total energy production in the farm, CL problem indirectly affects the total energy due to the power losses. In the literature, TL and CL problems are solved sequentially where the layout found by solving of TL is used as an input of CL problem. To minimize wake effects in TL problem, distances between turbine pairs should be increased, however, as the distances are increased the cable cost increases in CL problem. A new mathematical model is developed to deal with simultaneously solving of TL and CL problems. A set of test instances are used to show the performance of the proposed model. The experiments show the practical use of the proposed holistic model.Publication Metadata only Wind farm layout optimization to maximize total power production(2018-05) Alabaş Uslu, Çiğdem; ÜLKÜ, İLAYDA; 51700; 126061With the rapid increase in energy demand, renewable energy has been considered as an alternative energy resource around the world. A new nonlinear mathematical model is developed in the presented study and a comparison is obtained with a mathematical modelling study from the literature. The results superior according to power generation under a single wind direction. Jensen’s wake decay model is used to state multiple wake effect among the turbines. The power production is maximized in terms of the minimization of wake effects. Mathematical formulations are represented and compared with the model from the literature. The generated layouts are presented and expected power among the Introduction turbines are significantly improved.Publication Metadata only A new mathematicalpProgramming aapproach to wind farm layout problem under multiple wake effects(2019) Alabaş Uslu, Çiğdem; ÜLKÜ, İLAYDA; 51700; 126061Wind farm layout optimization is one of the challenging problems in thefield of renewable energy. In thepresent study, a new nonlinear mathematical model for layout of wind turbines under multiple wakeeffects is proposed considering two objective functions separately: maximization of total power pro-duction and minimization of cost per power. To incorporate multiple wake effects into the proposedmodel, Jensen's wake decay model is employed. It was proven that the proposed model has totallyunimodularity property and according to this property, relaxation of binary decision variables relatedwith the wind turbine locations makes the model relatively simple to solve. Computational study revealsthat results of total power production and cost of power obtained from the proposed model outperformthat of the previous studies in the literature on a set of example cases and therefore, can be used to layoutmore productive wind farms.