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    Monte Carlo simulation-based planning method for overload safe electrical power systems
    (Universitatea Politehnica din Timisoara, 2014) Kaygusuz A.; Alagoz B.B.; Akcin M.; Keles C.; Karabiber A.; Gul O.
    Operational reliability of power systems is one of the most important concerns that engineers have when planning a secure and economical electrical power system. This paper presents a probabilistic power flow analysis, based on the Monte Carlo simulation method, to support an overload safe power system designed to tolerate demand uncertainty and fluctuations of transmission parameters. Generation and transmission capacities in the power system can be estimated on the basis of operational risks and system installation costs. The proposed approach will be very useful for the rational planning of secure power distribution systems.
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    A photovoltaic system model for Matlab/Simulink simulations
    (2013) Keles C.; Alagoz B.B.; Akcin M.; Kaygusuz A.; Karabiber A.
    Solar energy maintains life on the earth and it is an infinite source of clean energy. There is an increasing trend for the use of solar cells in industry and domestic appliances because solar energy is expected to play significant role in future smart grids as a distributed renewable source. Optimal and large-scale integration of renewable sources into smart grid is possible by the aid of computer simulations and hence there is a growing demand for computer modeling and simulation of renewable sources. This study presents a generalized photovoltaic (PV) system simulation model for Matlab/Simulink simulation environment. The proposed model is based on a behavioral cell model for modeling solar radiance to electricity conversion and an electrical driver interface for implementing electrical characteristic of power limited systems in power simulations. The model is efficient in computational complexity and it is easy to configure for representing wide-range of PV installations. © 2013 IEEE.