Power Scheduling In a Smart Home Using Earliglow Optimization

Abstract

Implementation of Renewable Energy Sources (RES) has reshaped the current power grid and given birth to what’s now commonly referred to as the Smart Grid (SG). RES innovations have enhanced accessibility of electrical power to satisfy the consumer loads chiefly for residential and commercial entities. Industry consumes the bulk of generated power. The proposed Home Energy Management System (HEMS) uses the Earliglow algorithm for load shifting within the context of Demand Side Management. The simulation results are compared with other results in the literature: These results show that the combination of RES and Energy Storage Systems (ESS) can provide substantial electricity cost cutting using both Critical Peak Pricing (CPP) and Time of Use (ToU) utility tariffs. Additionally, electricity cost reduction under the CPP and ToU regimes are demonstrated. The importance of the results lies in the possible deferral of costly electrical network capacity expansion often necessitated by ever growing demand of electricity as well as possibility of greater reach of electrical energy to the wider populace in the developing world.