Energy Management of Smart Homes Considering Appliance Scheduling Flexibility

Abstract

Home Energy Management (HEM) is considered a great potential for energy efficiency in smart grids. With the advent of advanced metering infrastructure (AMI), demand side management (DSM) become possible where households (HHs) change their consumption behavior in response to electricity time varying prices provided by the utility. An optimization algorithm for HEM considering appliance scheduling flexibility is proposed with the aim of electricity bill cost minimization. The appliance scheduling is done on weekly basis to be able to model a more realistic scenario which is able to shift the operation of some appliances that aren't required to operate daily throughout the week. The problem is formulated as a binary integer programming (BIP) problem. Single home scenario is considered in this work. Real time pricing (RTP) is considered to be the electricity pricing tariff that incentivize the users to adjust their energy consumption. The performance of the proposed algorithm is tested under different simulation scenarios. Results show the effectiveness of the algorithm in minimizing the electricity bill cost.