A Linear Programming Based Load Scheduling System Considering Dynamic Pricing and Renewable Energy

This paper aims for reducing the energy demand in Morocco by means of developing the management system state-of-the-art. Three different scenarios are investigated, where dynamic pricing is applied along with effective appliance load scheduling to minimize the energy bill of the consumer. This paper starts by describing the current energy situation in Morocco with a focus on renewable energies. The paper defines a variety of dynamic pricing policies and describes the core model of home energy management systems. Three different scenarios are considered, each with different energy needs presented as sets of appliances classified in two distinct categories that serve as the main electricity load. The proposed model considers multiple constraints along with an optimization function that either minimizes the energy bill or maximizes the use of renewable energies generation within a household. MATLAB will be utilized to produce an adequate recommended schedule for each scenario. Results show that the proposed algorithms reduce the energy bill from 30% to 66%, depending on the tested scenario, as a result of shifting up to 12 kWh of the load profile from the peak consumption hours to the hours where renewable energy generation is maximized.