Author(s)

Tawfiq M. Aljohani¹, Mohammed J. Beshir²

¹Department of Electrical Engineering, Taibah University, Medina, KSA.
²University of Southern California, Los Angeles, California, USA.

Reliability of power systems is a key aspect in modern power system planning, design, and operation. The ascendance of the smart grid concept has provided high hopes of developing an intelligent network that is capable of being a self-healing grid, offering the ability to overcome the interruption problems that face the utility and cost it tens of millions in repair and loss. In this work, we develop a MATLAB code to examine the effect of the smart grid applications in improving the reliability of the power distribution networks via Monte Carlo Simulation approach. The system used in this paper is the IEEE 34 test feeder. The objective is to measure the installations of the Automatic Reclosers (ARs) as well as the Distributed Generators (DGs) on the reliability indices, SAIDI, SAIFI, CAIDI and EUE, and make comparisons with results from a previous study done by the authors using another approach. The MATLAB code should provide close results to the output of the previous research to verify its effectiveness.

Monte Carlo Simulation, Matlab Code for Power Systems Reliability, Power System Reliability, Distributed Generators, Auto Reclosers, Reliability Indices, Smart Grid

Aljohani, T. and Beshir, M. (2017) Matlab Code to Assess the Reliability of the Smart Power Distribution System Using Monte Carlo Simulation. Journal of Power and Energy Engineering, 5, 30-44. doi: 10.4236/jpee.2017.58003.