Two-Stage Multi-time Scale Energy Management & Control framework for Home Area Power Network

The working phenomenon of the Energy Management System (EMS) in a smart home revolves extensively around the availability of cheap energy sources and the flexibility of users' load demands. In this paper, we introduce a home EMS that manages the load following energy supply entities (ESEs). A day-ahead scheduler observes the decision signals for various ESEs that minimizes the net energy cost for a consumer. Furthermore, a real-time robust control strategy is adopted to eradicate the phenomenon of uncertainties in the system. The uncertainties arise due to the intermittent nature of solar energy source and changeable load demands. This paper incorporates two-stage scheduling and controlling mechanism that works both in off-line and on-line modes to handle a device schedule and guarantees the availability of power at any time. At the first stage, a mixed-integer linear programming based algorithm activates the cost-effective energy in-feed from various ESEs. Whereas, the second stage enforces the power quality by balancing load demands with energy supply in real-time. Moreover, we implement the optimal scheduling decisions in realtime by incorporating MATLAB/Simulink based physical models of various components of the power system.