Seasonal Storage Capacity Design for Distributed Power Flow System with Safe Operation Conditions

Today the development of distributed energy systems is centered on renewable energy resources. Since the renewable energy resources such as solar photovoltaic, fuel cell, and so on that are highly influencing by the environmental changes and human activities produce fluctuating energy outputs to meet the dynamic energy demands, it is a significant challenge to improve the power generation efficiency by designing an optimum storage capacity in the presence of power fluctuations before the installation phase. In this paper, a distributed power flow system that incorporates an optimization approach with safe operation conditions has been investigated with real experimental dataset of smart home environment by considering two power storages and two home appliances based on human daily activities in four different seasons. Numerical simulation results reveal that the optimum storage capacity varies greatly depending on seasonal power generations and daily schedule of human activities.