Monte Carlo Simulation Case Study

The use of DG can be defined as an alternative to expand the capacity of the electrical system supply is being considered around the world. The use of small generating units, connected in a dispersed way at distribution/sub-transmission systems, can bring benefits to consumers and utilities, especially in places where there is deficiency of the electric energy transport system. However, the uncertainties involved in the planning and operation of system become bigger with the presence of DG. The impact of DG on reliability of electric systems depends mainly on two aspects:
• The operational model of DG and the purpose of its connection to the system
• The energy source in which the DG unit is based

The source of energy including the
The first is the analytical technique which requires a series of mathematical calculations with an approximation in the case of a complex system. In this thesis, Monte Carlo Simulation (MCS) has been proposed for the purpose of reliability evaluation of the distribution network containing renewable distributed generation which is a simulative technique. The MCS is widely used in power system studies such as probabilistic power flow, economic dispatch and reliability evaluations [12], [13]. Evaluation of distribution system reliability based on Monte Carlo Simulation is one the well-known method in complex non-linear systems. This technique and method gets more information on the load point and system reliability index in comparison to the other method which is analytical method. Because of the uncertainty of both wind turbine and photovoltaic output power, it is not easy to use the analytical method to evaluate the reliability of a system compromising these recourses. However, the output power of WT and PV can be predicted by generating a large number of scenarios in desired time. Therefore, by applying MCS to simulate the output power of Wind Turbine and Photo Voltaic could be used to facing with complexities of another method which is analytical