An Approach Towards Efficient Scheduling of Home Energy Management System Using Backtracking Search Optimization and Tabu Search

Smart grid is an emerging technology which is successfully implemented by the use of different communication methods. Demand side management (DSM) plays a significant role in the management of load and energy consumption in order to reduce cost in the smart grids. Smart buildings and smart homes are usually considered important for reducing the electricity consumption by home energy management controllers (HEMC). In this paper, an energy management controller (EMC) is proposed with an objective to minimize the energy consumption, curtail load demand, reduce electricity usage and minimize peak to average (PAR) ratio with increased user comfort level. For this purpose, three evolutionary and iterative techniques were proposed as backtracking search optimization algorithm (BSOA), tabu search (TS) and their hybrid as tabu backtracking search optimization (TBSO) algorithm. Simulations were performed in MATLAB by using real time pricing (RTP) tariff for bill calculation. 9 household appliances were scheduled and results proved that our proposed hybrid technique outperforms the remaining two in terms of cost minimization.