Smart grid is a technological advancement to the traditional power system that provides efficient and reliable utilization of energy resources. Large number of sensors are becoming part of the power network to improve its efficiency. These sensors enable communication between home appliances and power generators to enhance home appliance automation, monitoring and remote control capabilities. As smart power grid incorporates a large number of data-generating embedded sensors; key questions are where in the network to process and analyze the data, and how to perform the analysis. In this paper a test bed is discussed to highlight advantages of distributed smart grid architecture by comparing central and local processing of data. Furthermore, it discusses the advantages of local processing of sensors' generated data to manage big data and introduces machine learning algorithms for data processing. In addition to that, we present results for our test bed that prototypes distributed smart grid architecture. Finally, it concludes with the discussion of our results and future up-gradation of power system.
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Ahsan et al. (2017) studied this question.
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