Investigating the Smart Grid Reliability in the Presence of Distributed Generation Resources and Its Impact on the Profitability and Network Stability
The electric power industry is considered as an infrastructure industry, which plays an important role in the economic development and community welfare. The absences of power blackout and service continuity are the main expectations of electricity subscribers caused by increasing dependence of society on electrical energy. Implementing a secure, reliable and efficient distribution grid on the current network requires moving towards smart grids. Self-healing capabilities are considered as one of the important features of smart distribution grids. Self-healing concept in smart grid is one of the critical issues, due to high cost of resolving power blackout and its role in reducing costs. The emergence of smart grids and distributed products has led to numerous changes in various study concepts and the exploitation of the power system. This thesis investigated the reliability of smart grids by taking into account the effects of distributed generation sources. After presenting an appropriate model for analyzing the given problem, results of its application to the sample system have been analyzed using simulation of reliability indices in MATLAB software and the effect of different parameter changes on the indicators has been reported with the aim of improving the performance of the power system. One of the key features of this study was examining the impact of layout system elements changes. It was indicated that the self-healing ability has a positive effect on reducing the time needed for electrical energy reconnection and its reliability.