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Renewable Energy using Smart Grid Embedded System in an Internet of Thing

Gauri Raut, Urmila Deshmukh

Abstract


The customer domain of the smart grid naturally blends with smart home and smart building systems, but typical proposed approaches are “distributor-centric” rather than “customer-centric,” undermining user acceptance, and are often sparingly scalable. To solve this problem, we propose a detailed architecture and an implementation of a “last-meter” smart grid the portion of the smart grid on customer premises embedded in an internet-of-things (IoT) platform. Our system determines both the fraction of power consumed by the network compared to the energy storage based on the battery in the site, and when and how much to charge the battery-based storage using the power of the network. We implement our innovative system using IoT and Smart grid concept. The main inputs of our control algorithm are 1) the current energy level of the battery, 2) a prophecy of the future generation of solar/wind energy, 3) a calculation of future models of energy consumption and 4) prices of electricity based on the market. The output is the measure of vitality that the system must expend, and also the vitality to release or charge the battery from inexhaustible sources or the system, for any timeframe. The vitality spending plan broadens our underlying work in Smart Charge in various ways.

Keywords: internet of things, renewable energy, sensors, smart grid, wireless transmission

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DOI: https://doi.org/10.37628/ijaic.v4i1.877

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