Design of an Optimized Model for Residential Load Control using Electric Price Variability for Future Grids

Abstract

In recent times, research is focused on optimal techniques for efficient and effective distribution and utilization of energy in future grids. Aim of the researchers is to plan such a system which can timely manage and meet the power demand requirements effectively. Domestic appliances consume the massive part of the total electricity. Household energy consumption is considered the most inelastic and uncontrollable as compared with the consumption of any other end user. Demand side management in smart grids is an optimized approach in future smart grids in which consumers are well aware of their energy consumption and they can make decision accordingly. This can evenly distribute loads throughout the day and reduce system tension and outages. This research paper presents household EMS (EMS) in which controllable or non-critical loads are controlled systematically and shifts the peak hours loads to the offpeak hours and distribute the total energy evenly throughout the day. Previously different models have been designed to distribute the loads flatly throughout the day while this EMS technique distribute the loads evenly as well as reduces the electricity costs effectively. Previous works lack flexibility for additional loads; EMS model described here is flexible and adjusts for “On Demand” loads