An optimized approach for home appliances scheduling in smart grid

In this paper, we present a novel home energy management model with enhanced load categorization and multiple scheduling options. Concepts of partial baseline and reserved interrupting loads are used to enhance the traditional load categorization. The proposed model uses multiple pricing schemes namely Time of Use (ToU) and Real Time Pricing (RTP) day ahead case. The energy cost minimization problem has been solved by multiple optimization techniques namely Knapsack and Particle Swarm Optimization (PSO). Comparative results of multiple pricing schemes have been discussed which prove the effectiveness of the proposed model.