Abdullah Ürkmez

Determination of body measurements of a cow by image analysis

In this study, the subject is to determine the body measurements of a Holstein cow from its photographs with image analysis. For this operation, an environment for taking the photograph, a platform and 18 points with certain coordinates were prepared. Afterwards, the photos of a Holstein cow was taken on the platform by a Nikon D100 CCD camera from various directions. The photos were analyzed by PhotoModeler 5 software. The results of this image analysis were compared to real results that were previously measured. It was found out that the real measurements and measurements obtained from photos are close to each other which shows that this method can be safely used

Biomass-Based Combined Heat and Power Systems

This study aims to identify and evaluate the biomass utilization options and evaluate the sustainable biomass production for combined heat and power (CHP) in Turkey. The total biomass energy potential of Turkey is about 32 Mtoe. The amount of usable biomass potential of Turkey is approximately 17 Mtoe. Among the biomass energy sources, fuel wood seems to be one of the most interesting because its share of the total energy production of Turkey is high at 21%. The use of biofuels for CHP on a large scale is focused mainly on forest industry sites, where considerable quantities of biomass are available. Biomass available for energy can be converted to different types of final energy (e.g., electricity, heat), of these, the production of electricity appears to be particularly important. While CHP provides several environmental benefits by making use of waste heat and waste products, air pollution is a concern any time fossil fuels or biomass are burned.

PSO and CSA to estimate of parameter in power line

Short circuits, voltage drop, harmonic distortion and power loss which is factors affect to power quality of power line as negative. Power line parameters affect to values of these factors. Therefore, power line parameters affect the quality of the electrical energy of transmission and distribution lines. Before new load is included to power line, power line parameters must be determined and so adversely effect of these factors can be prevented. In this study, parameters of power line, which will be added new load, were estimated by using clonal selection algorithm (CSA) and particle swarm optimization (PSO). The results of these two methods were compared with real parameter value of power line and accuracy rating of these methods was determined separately. Primarily, harmonic measurement was made from load connection point of power line and was determined parallel resonance impedance to determine power line parameter from the connection point of new load. The obtained parallel resonance impedance from this measurement result was evaluated with CSA and PSO and so power line parameters were tried to estimate. The end of this study, accuracy rate of CSA and accuracy rate of PSO were compared and the algorithm which had the best results was selected.

PSO and inertia weight to determine parallel resonance power in electrical networks

Overvoltage phenomena should be taken into account at planning of transmission and distribution lines. Causes of over voltage are usually switching, lightning and parallel resonance. The most dangerous of these reasons can be the parallel resonance. The parallel resonance occurs between system impedance and capacitors of reactive power compensation of electrical plant. Before an electrical plant (any factory) is connected to connection point of power line of electrical network, parallel resonance of connection point of power of power line must be determined previously to prevent parallel resonance. Otherwise, system impedance increases extremely during parallel resonance, and if current of system (50Hz) encounters high impedance during parallel resonance, high voltage occurs on electric network. So, total capacitor power should be less than the parallel resonance power. In this study, the application which related to determination of parallel resonance power was made by using PSO, and also effect of inertia weight on PSO was examined for this study. Thus parallel resonance power of low voltage electric network can be calculated and maximum capacitor of compensation system can be determined.

Clonal selection algorithm to reduce parallel resonance effect in electrical networks

Parallel resonance is significant problem in the electric networks. During parallel resonance, system impedance increase extremely. Therefore system voltage may be increase extremely. Due to the parallel resonance occurs between system impedance and capacitors of reactive power compensation, total capacitor power should be less than the parallel resonance power. In this study, parallel resonance point and power of transformer of the electric network, which was measured harmonic distortion, were determined by using search mechanism of CSA. Thus parallel resonance power of low voltage electric network can be calculated and maximum capacitor of compensation system can be determined. Coefficient of cloning in CSA was increased to obtain high affinity valuable results. But, in this case, the elapsed time increased. Increasing value of the elapsed time is undesirable case. To decrease value of the elapsed time, some changes in CSA were made to obtain high affinity value at short computational time.

The detection of rotor faults in the manufacturing of submersible induction motor

In this study, rotor faults detection in submersible induction motors which is used at deep well submersible pumps is presented by analyzing stator current. In some production squirrel cage rotor bars are welded to end rings by argon welding. While the welding sometimes some bars are not connected to end rings ore bad connection have been occurred. This affects the motor performance. For not preventing the production speed motor tests should be made quickly. In this study practical results are taken from POLMOT factory which produce submersible induction motors. When the motor construction is finished its robustness is tested with no load test. Their stator current time frequency domain is made and its current spectrum is investigated. According to current spectrum analysis its fault and robustness is determined. For classification artificial neural network (ANN) is used. A decision mechanism that uses ANN result matrixes is occurred to detect faulted rotors.

A new algorithm and computation approach for economic dispatch with prohibited operating zones in power systems

This paper presents a new algorithm and computation approach to solve the economic load dispatch (ELD) in electrical power systems. We applied a new power formula to solve the ELD problem. If production units cost curves are represented properly then ELD becomes more correct. In this respect we assumed that production units have prohibited operating zones. Cost curves of the production units are generally accepted as piece-wise quadratic function. The power production is cheaper since we do not use the production units in the prohibited operating zones. The proposed method and algorithm are compared to other ELD methods on the standard test systems. The proposed method solve the dispatch problem faster than the other ELD methods.