Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalı Tez Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/418

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Cloud induced PV impact on voltage profiles for smart microgrids
(Abdullah Gül Üniversitesi, 2018) ÇAĞATAY KOÇER, MUSTAFA; AGÜ, Mühendislik Fakültesi, Elektrik & Elektronik Mühendisliği Bölümü; ÇAĞATAY KOÇER, MUSTAFA
In the history of humanity, no other invention has positively influenced everyone's life as much as the invention of electrical energy. With the electricity, the rise of civilization gained momentum, industrial technologies advanced, and scientific developments found more suitable habitat for themselves. However, in order to meet the growing demand for electricity, production costs had to be reduced. In this direction, the energy sector used fossil fuel-based solutions for cheap electricity production. However, nowadays, a tendency to use cleaner and more sustainable methods for electricity production has occurred since fossil fuel sources are limited and they increase the greenhouse gas emissions in the atmosphere. This trend brings renewable energy resources (RER) to the table as a new solution, especially in the modern electricity networks. However, since behaviors of the RERs are challenging to forecast and highly dependent on environmental factors, these resources have some severe problems in the integration into the grid, particularly in the low voltage networks, such as microgrids. In this thesis, the impact of the fluctuations in photovoltaic power (PV) generation, which happens because of frequently interrupted solar radiance by the chaotic movements of the clouds, on the load voltage levels of a real field microgrid system belonging to the Malta College of Arts Science and Technology (MCAST) campus is investigated. Also, the impact of the auxiliary sources (battery storage system and diesel generator) that are responsible for ensuring that the microgrid healthily continues its operation on the load voltage profiles is presented. The author used the MATLAB/Simulink platform for the necessary simulations and system designs
Control algorithms for feedback tracking in the small populations of Hodgkin-Huxley neurons
(Abdullah Gül Üniversitesi, 2018) ŞENEL, ZEYNEP; AGÜ, Mühendislik Fakültesi, Elektrik & Elektronik Mühendisliği Bölümü; ŞENEL, ZEYNEP
The purpose of the thesis is to design powerful mathematical control algorithms for the tracking and modeling spiking and bursting behaviors of real biological neurons in 4-dimensional dynamical systems. For this aim, 4-dimensional Hodgkin-Huxley’s (HH) nonlinear dynamical system including differential equations preferred. Because HH model represents a realistic mathematical model for the real neurons and it analytically accepted. Applied external current as a control signal initiate stimulating of the neuron cells in the neuronal networks serve while the membrane action potentials are outputs. We applied two different control methods; speed gradient (SG) of Fradkov’s and target attractor (TA) of Kolesnikov’s feedbacks for the modeling and controlling spiking and bursting regime that axon membrane potential created by the control signal in HH neuron clusters. These algorithms show high effectiveness and robustness in the managed HH dynamical neuron system. This study provides generating arbitrary forms of single spikes, train of spikes and bursts for chosen cells in the various configurations of HH neuron clusters (linear chain and ring-type chain) with the control over a selected element of the network. In this study, developed algorithms applied to epileptiform collective bursting in a small cluster of HH neurons for make suppression. The scope of this thesis is to develop new control methods for mathematical modeling to control of real neurons and effectively can use in computational neuroscience and diagnosis or treatment of neural dysfunctions such as epileptiform or abnormal behavior in the HH neuron networks.
QOS-AWARE DOWNLINK SCHEDULING ALGORITHM FOR LTE NETWORKS: A CASE STUDY ON EDGE USERS
(Abdullah Gül Üniversitesi, 2016) UYAN, OSMAN GÖKHAN; AGÜ, Mühendislik Fakültesi, Elektrik & Elektronik Mühendisliği Bölümü; UYAN, OSMAN GÖKHAN
4G/LTE (Long Term Evolution) is the state of the art wireless mobile broadband technology. It allows users to take advantage of high internet speeds. It makes use of the OFDM technology to offer high speed, which supplies the system resources both in time and frequency domain. The allocation of these resources is operated by a scheduling algorithm running on the base station. In this thesis, we investigate the performance of existing downlink scheduling algorithms in two ways. First we look at the performance of the algorithms in terms of throughput and fairness metrics. Second, we suggest a new fairness criterion, QoS-aware fairness which accepts that the system is fair if it can supply the users with the packet delays that they demand, and we evaluate the performance of the algorithms according to this metric. We also propose a new algorithm according to these two metrics, which especially increase the throughput gained by the edge users, the QoS-fairness, and classical fairness of the system without causing a big degradation in cell throughput when compared to other schedulers.

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