A New Memory Updation Heuristic Scheme for Energy Management System in Smart Grid
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In the last decade, high energy demand is observed due to increase in population. Due to high demand of energy, numerous challenges in the existing power systems are raised i.e., robustness, stability and sustainability. This work is focused for the residential sector Energy Management System (EMS), especially for the smart homes. An EMS is proposed which shifts the electricity load from high price to low price hours. To fulfill the high load demand of electricity consumers, we have proposed a new Memory Updation Heuristic Scheme (MUHS), which efficiently schedule the appliance from on peak to off peak hours. The objective of our new scheme MUHS is to automate the EMS. The significance of our new proposed MUHS scheme shown the efficiency by reducing Cost, Peak to Average Ratio (PAR) and increase User Comfort (UC) by balancing the load demand in peak times.
KeywordsSmart homes Demand side management Energy Management System Appliance scheduling Critical Peak Pricing
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