An Online Smart Microgrid Energy Monitoring and Management System

Energy demand has shown an increase in the recent years, and distributed energy generation and load management systems are essential components in modern MicroGrids (MG). An effective and continuous monitoring of the grid represented a challenge, an online evaluation is necessary to improve the generation and load distribution performance. This paper presents an energy saving and management design strategy based on Fuzzy Logic Control in a residential grid-connected AC microgrid. A control strategy based on human reasoning aimed to reduce the grid power fluctuation, and improve battery lifecycle. In this system, PhotoVoltaic cells "PV", Inverter, and Max Power Point Tracing MPPT are used in addition to a battery bank. The proposed method regulates the power flow of the microgrid, improved the Load-management performance. Experimental studies are carried out to test and validate the proposed system using an online Fuzzy-Logic regulation with multiple Loads and Battery-charge conditions. Results have shown a recognized improvement in the grid fluctuations profile as function of load/power generations. This is also expected to enhance/improve the instantaneous grid power balance and demands response.