Fuzzy ARTMAP based forecast of renewable generation for a high frequency AC microgrid

A single phase high frequency AC (HFAC) microgrid is a novel solution towards integration of renewable energy sources in a distributed generation system. Power flow and power quality issues in the HFAC microgrid are controlled by the active filtering solutions called universal active power line conditioner (UPLC) and unified power quality conditioner (UPQC) respectively. After power quality and power flow issues are resolved, a next important task is optimization of operating costs of the HFAC microgrid. Optimization greatly depends on the power generation and the power output from renewable sources strongly depends on the weather. Therefore, the forecast of power generation is required for implementing a distributed intelligent energy management system (DIEMS). A fuzzy ARTMAP neural network is used to predict hourly day-type outputs based on which generation can be forecasted. The results obtained shows the successful implementation of HFAC microgrid with adequate power flow and power quality control as well as the promising future scope of an intelligent energy management system with fuzzy ARTMAP based day-type forecasting