H. Bora Karayaka

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A novel technique to estimate and model parameters of a 460-MVA large steam turbine generator from operating data is presented. First, data from small excitation disturbances are used to estimate linear model armature circuit and field winding parameters of the machine. Subsequently, for each set of steady state operating data, saturable inductances and are(More)
A novel technique to estimate and model rotor-body parameters of a large steam turbine generator from real time disturbance data is presented. For each set of disturbance data collected at different operating conditions, the rotor body parameters of the generator are estimated using an output error method (OEM). Artificial neural network (ANN)-based(More)
Electrical power generation by means of renewable energies is becoming a flourishing industry with many researchers focusing on investigating new and effective ways to harness this power. This paper presents a new proposed mechanism for harnessing the potential energy of open ocean waves and the procedures of efficiently converting this energy into(More)
Utilizing solar energy is essential to having a clean and healthy Earth for generations to come. However, because solar power is intermittent, caused by weather changes such as clouds or temperature fluctuations, power distributers cannot rely on solar farms as a consistent power source. The solution is the integration of an energy storage system capable of(More)
Recently, there has been a massive push in the research community towards green or renewable energies, specifically for electrical power generation. Fossil fuels are losing their popularity due to the associated environmental damage and hazards, and green energies are gaining momentum as significant energy resources. This paper presents a novel system and(More)
An experimental methodology was developed for online system identification of a thermal system or heated space. In this setting, the intelligent controller detects system parameters during normal operation and adapts its performance accordingly. The ultimate goal is to demonstrate that load leveling with demand side management can be used to reduce peak(More)
A slider-crank wave energy converter (WEC) is a novel energy conversion device. It converts wave energy into electricity at a relatively high efficiency, and it features a simple structure. Past analysis on this particular WEC has been done under regular sinusoidal wave conditions, and suboptimal energy could be achieved. This paper presents the analysis of(More)
This paper presents the simulation results of a swarm of micro-robots collaborating to find a point of interest in 2D space. Guided by a fitness function, the Particle Swarm Optimization (PSO) algorithm is highly efficient to explore the solution space and find such an optimum. However, in real-world scenarios in which the particles are micro-robots, there(More)
This paper studies the optimum (most economical) scaling of a battery and supercapacitor hybrid storage for 1 MW photovoltaic (PV) arrays for a one hour dispatching period for an entire day. The optimization is based on the time constant of a low pass filter (LPF) that is used to allocate the power between a battery and a supercapacitor (SC). This paper(More)
There is global need for renewable energies and wave energy converters provide a promising method to generate energy without generating green house gases. Thus there is a global interest to increase the efficiency of wave energy converters. The wave energy converter utilizes the energy produced by ocean waves to drive a mechanical device to generate(More)