Musa Aydin

Finding optimum route of electrical energy transmission line using multi-criteria with Q-learning

Due to an increasing energy requirement the consideration of route determination is becoming important. The aim of this project is to find an optimum result considering its important criteria. Finding an optimum route is a complex problem. It does not mean the shortest path to the problem. It is important to find the best way under the criterion that is determined by experts. Because of this we did not use the classical shortest path algorithm and we applied one of algorithms of the Artificial Intelligence. In this work, Geographic Information System (GIS)-based energy transmission route planning had been performed. In this optimization, using Multiagent Systems (MAS) which is a subdirectory of Distributed Artificial Intelligence the multi-criteria affecting energy transmission line (ETL) had been severally analyzed. The application had been actualized on the Selcuk University Campus Area. Therefore, the digital map of the campus area particularly had been composed containing of relevant criteria. Using Q- learning Algorithm of Multiagent System the optimum route had been determined.

Genetic algorithm in Electrical Transmission Lines path finding problems

Today, Geographic Information Systems (GIS) solutions have entered every corner of the engineering studies like Electrical Transmission Lines (ETL) route optimization, vehicle routing, power plant siting and so on. Raster-based maps generated by GIS are very useful solutions for this kind of route optimization problems. The weighted sum of all the data can be converted to raster-based maps and gathered consecutively in GIS for ETL route optimization. In this paper, Genetic Algorithm (GA) is applied to ETL route optimization problems in order to find the best route on raster-based maps.

Design and implementation of a laboratory-scale microcontroller-based multi-pulse STATCOM

In this study, the design and application of a laboratory-scale, multi-pulse Static Synchronous Compensator (STATCOM) are presented, which provides reactive power compensation at the point of common coupling (PCC) for the purpose of enhancing the performance of the AC transmission system. STATCOM consists of two units of three-phase, six-pulse Voltage Source Converter (VSC) bridges, where IGBT (insulated gate bipolar transistor) semi-conductor switches are used. Fundamental Frequency Modulation (FFM) technique is used for controlling the converter bridges. The control system has been implemented with low-cost 16-bit microcontrollers. The validity of the laboratory-scale prototype was examined via experiment and simulation studies performed on an energy transmission system with a busbar. The experimental results are compared with the results obtained from the PSCAD/EMTDC simulation program.

Sample criteria for integration of solar plant systems to electrical distribution network

In the last decades distributed generation became very popular in consequence of its low investment costs and easy installations. Nonetheless distributed generation and its requirements is not a literally well-known topic by the electricity regulators, distribution system operators and supply companies in Turkey. The aim of this paper is to be develop a criterion for connection of solar power plant systems to electrical distribution network and defining technical boundaries as a regard to national procedures and standards. This report provides a schematic overview of the connection conclusions. The connection steps were applied as a result of the current legislations and policies in national electricity regulations. Solutions were also presents an overview of solar plant integration and analyze the impacts of them using load-flow and short-circuit analysis methods. As a result of the methodology some unexpected problems or damages in the network could be prevented.

CSA-Kapur Method to determine ice load amount on electric transmission line conductors

Ice load causes important faults on electric transmission lines (ETL), and power outages can be seen for days because of ice load. So, ice load effect must be prevented on ETL. One of the effect methods is Joule Effect Method (JEM). In JEM, ETL conductor is heated by current, and ice on conductor is melted. But primarily ice load amount must be determined to determine value of melting current. In this study, the iced conductor thickness was used to determine ice load amount, and image segmentation method was used to determine the iced conductor thickness. Image segmentation of image of iced conductor is difficult because of environmental factor. So, multilevel threshold method was used for image segmentation, and Kapur Method was used as multilevel threshold method. But detecting of optimal threshold levels with traditional Kapur Method is difficult. So, Clonal Selection Algorithm (CSA) was used to detect optimal threshold level.

Comparison of PSO-Kapur and DE-Kapur methods to determine ice load on aerial lines

Aerial lines are designed according to the calculated a certain ice load amount. If ice load amount on conductor of aerial line is bigger than the calculated ice load amount, aerial line pole bending or conductor breakage can be seen. Joule effect method is proposed to eliminate ice load effect but primarily, the occurred ice load amount on conductor of aerial line must be determined. Ice load amount can be determined with ice thickness of iced conductor. In this study, ice thickness of iced conductor is determined with image segmentation method, but image segmentation is difficult due to high humidity. So, multilevel thresholding method was used to decrease high humidity effect. PSO-Kapur and DE-Kapur Methods were used as multilevel thresholding method. When these results were compared, it was seen that the result of DE-Kapur method was more close to value of real ice thickness according to the result of PSO-Kapur method.

Transient analysis of 380-kV transmission system of Central Anatolia of Turkey

In this paper, switching overvoltages are studied on part of 380 kV interconnected network of Central Anatolia of Turkey, which contains six busbars that are interconnected with five different transmission lines of different lengths and geometries. The studies are carried out by an electromagnetic transient software program called PSCAD/EMTDC. Overvoltages that take place due to energizing a line on no-load condition and switching off a line under load condition are studied and voltage related curves are obtained and their magnitudes are calculated by means of the computer. This study has the characteristic of being unique, since it is the only computer aided study which has been done on the interconnected system of Central Anatolia of Turkey.