Browsing by Author "Tur, M.R."

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Effect of Faults in Solar Panels on Production Rate and Efficiency
(Institute of Electrical and Electronics Engineers Inc., 2018) Tur, M.R.; Colak, I.; Bayindir, R.
The economic life of Solar Power Plants (SPP) is accepted for more than 20 years and this point is taken into account in financial analysis. The cumulative effect of very small changes in the efficiency of a system that will generate energy for 20 years increases significantly over the years. SPP efficiency determines the losses in the generated energy. The failures in SPPs have a serious impact on the reliability of the system and the energy balance. Because of this, the energy losses produced by the SPP plant directly depend on two major factors. These factors are plant failures and production inefficiencies in photovoltaic (PV) panels. To know the negative impact of energy losses in PV plants, contributes to optimization in maintenance and design and increases efficiency in power production. In this study, probable losses in SPPs are classified and examined and the possible consequences of these losses and their effects on SPP performance are explained. In addition, by using the actual data in the operation and maintenance follow-up of many power plants, error rates grouped by the deficiencies in energy balance are achieved. According to these results, the process in the system under test, 67415 MW of power plant and 59211 MW of power plant has been obtained, resulting in a total 87.83 percent difference. © 2018 IEEE.
Feasibility Study of Wind Energy Potential in Turkey: Case Study of Catalca District in Istanbul
(Institute of Electrical and Electronics Engineers Inc., 2019) Wadi, M.; Kekezoglu, B.; Baysal, M.; Tur, M.R.; Shobole, A.
This paper presents a technical evaluation of the wind potential for the present and the future integration challenges into the Turkey power network. The first part evaluates the feasibility of sites, installments, operation and maintenance. The second part investigates the wind energy integration in the Turkey power network. To determine the potential availability of wind energy in Turkey, feasibility evaluation based on the hourly measured wind speed data for the three years 2008-2010 at 30 m height in Çatalca district is done. These data were obtained from the national meteorology station in Istanbul - the Republic of Turkey are analyzed in order to evaluate the feasibility of wind power potential and to assure supreme assortment of wind turbines installing for the area of interest. Furthermore, the data are extrapolated and analyzed at 60 m and 80 m regarding the variability of the roughness factor. Weibull bi-parameter probability function is used to approximate monthly and annual wind potential and power density based on three calculation methods, namely, the approximated, the graphical and the energy pattern factor methods. The annual mean wind power densities were to be 400.31, 540.08 and 611.02 W/m2 for 30, 60, and 80 m heights respectively. Simulation results prove that the analyzed area is an appropriate place for constructing large-scale wind farms. Key words: wind energy, wind speed, wind turbines, feasibility study. © 2019 IEEE.
Reliability Evaluation in Smart Grids Via Modified Monte Carlo Simulation Method
(Institute of Electrical and Electronics Engineers Inc., 2018) Wadi, M.; Baysal, M.; Shobole, A.; Tur, M.R.
Operation of closed-ring power distribution systems has various advantages over both meshed-operated and radially-operated systems. Closed-ring system unlike to radial system, the voltage drop is less, achieves high reliability of power on demand since the power is supplied from both ends, and reduces the voltage fluctuation in high loaded areas by using a tie power line. However, the reliability assessment of closed-ring power grids is not a trivial task. Monte Carlo Simulation (MCS) is one of the most famous methods to assess the availability of any power system. However, the most proposed methods are able to evaluate the reliability of radial and open-ring grids. This paper developed the best known MCS method to assess the reliability of closed-ring grids by integrating the total loss of continuity (TLOC) definition into the MCS. The developed method is called modified Monte Carlo Simulation (MMCS) method. The MMCS is tested by using Roy Billinton Test System (RBTS) buses 2 and 4. The obtained results confirm the correctness of the proposed method. Therefore, MMCS method is appropriate to assess the reliability of both simple and complicated closed-ring systems. © 2018 IEEE.