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MCS Matlab Code (for Smart Grid Applications)

version 1.0.0 (5.05 KB) by Tawfiq Aljohani
MCS Matlab Code (for Smart Grid Applications), conducted as a previous study and published in an open access journal.

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Updated 12 Sep 2021

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The reliability of power systems is a critical aspect of modern power system planning, design, and operation. The ascendance of the smart grid concept has provided high hopes of developing an intelligent network 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 the 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) and 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.
Cite as: Aljohani, T. M., & Beshir, M. J. (2017). Matlab code to assess the reliability of the smart power distribution system using monte carlo simulation. Journal of Power and Energy Engineering, 5(8), 30-44.

Cite As

Tawfiq Aljohani (2021). MCS Matlab Code (for Smart Grid Applications) (https://www.mathworks.com/matlabcentral/fileexchange/99129-mcs-matlab-code-for-smart-grid-applications), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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