Resilient, Comfort and Economic Operation of Smart Nanogrid

Nowadays, the management of power consumption has been one of the main concerns for researchers, because of energy generation problems, high cost and environment pollutions. An integrated, fast and accurate system can earn satisfaction of occupants and also cost reduction. Some loads are very vulnerable to natural disasters, thus this interruptions are costly for customers. The resiliency concept is introduced accordingly. The model presented in this research is a Nanogrid, equipped with DGs, batteries and electric vehicle, and power consumer. This research devotes an effort to optimize household energy cost, occupants comfort and Nanogrid resiliency with optimal scheduling of all elements considering uncertainty of distributed energy. If needed, utility can reduce potential peaks occurrence in grid, too. Finally, the performance of the method is discussed by simulation on a typical model. Simulation results under different pricing and weather modes, show effectiveness of proposed model on reducing the quantities of each considered cost functions.