Dynamic balancing of powers in islanded microgrid using distributed energy resources and prosumers for efficient energy management

In recent years, Most of countries think to combine between existing electrical grid and a smart grid using renewable resources as solution with the intention of achieving 100% of green power in the future, The objective is to decrease costs of production and importation of energy, protecting environment and citizens health by closing all power plants like nuclear plant. The process of delivering energy is production, transmission and distribution; we focus on distribution process in this paper because in default transmission or in outage case we have to response to majority of demand in the islanded region during outage. The problem is to how optimize energy distribution and distribute smartly the exiting energy produced or stored in the local region with integration of prosumers for an efficient power management. We propose in this paper a smart approach for an advanced balancing of powers based on dynamic selection algorithm to collect real time information and select entities that will be powered. The selection is based on some parameters like geographic position, obligatory load, optional load, level of priority, and local self-production if exist. The selection is dynamic because parameters can be changed and the information is detected by controller installed in each entity all connected to the regional data center to analyze and make decisions to manage and improve reliability of power supply by supplying load during power outage. As result of emergency strategy we obtain a smart outage distribution network for the intentional islanding. An intelligent algorithm is developed as proposition of solution to the problem with discussion results of the distribution model simulation.