Realistic Home Energy Management System Using Exogenous Grid Signals

One of the most promising concepts which make smart grid (SG) superior over the traditional grid is demand side management (DSM). However, most of the recent DSM techniques are centralized by nature and primarily focus on industrial consumers. In contrast, this paper proposes a realistic home energy management system (RHEMS) which incorporate the residential sector into DSM activities and facilitate the integration of renewable energy sources (RESs). Our proposed RHEMS handle the problem of cost minimization as an optimization problem, and household appliances along with RES are scheduled in response to the real-time pricing of the electricity market. First, the constrained optimization problem is mathematically formulated and then solved by using the genetic algorithm. Simulation results show that the proposed scheme significantly reduce the energy expenses of the consumer i.e. by 35.53%.