Study Social Characteristics of Estimate Electrical Load
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Over 1.5 billion people in the world today are still without access to electricity with many of them living in rural and remote areas that are far away from the national main grid. First, an examination of the issues surrounding microgrids for rural electrification is carried out with a major focus on the sustainability challenges. Informed by this examination, the important factors to consider when evaluating sustainability are presented and an easy-to-use sustainability evaluation tool kit is proposed and tested against three microgrid projects. This approach utilizes “Mixed Integer Linear Programming (MILP)” to optimally size the PV microgrid and the “Density Based Spatial Clustering of Applications with Noise (DBSCAN)” algorithm to aggregate load and meteorological data. MATLAB software is used to execute the optimization algorithm. The critical elements that have to be considered when designing microgrids for rural communities are addressed with the aim of reducing the overall cost of electricity.
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