Application of power sensors in the control and monitoring of a residential microgrid
The conception of the Smart Grid (SG) paradigm is to offer many benefits to the transmission, distribution, and consumption of energy. One catalyzer ingredient of the SG repertoire of changes is the idea of microgrids. As a new low voltage distribution subsystem, microgrids are expected to improve reliability, help integrate distributed resources, isolate power disturbances, and ameliorate load and supply balance. In this paper, we study a microgrid power scheduling problem with renewable sources and energy storage where five different classes of appliances are prioritized by smart meters. A novel formulation and solution based on mixed integer programming are proposed. Preliminary simulations show the efficacy of the optimization to schedule power among users and appliances of a microgrid in terms of the total power consumed and the number of power usage requests accepted by the system.