Abstract
This paper presents an optimal power control scheduling of a distributed energy system in presence of demand response. The distributed energy system comprises of a solar photovoltaic (PV) module and a battery bank storage system. A non-convex mixed binary integer programming technique is used to model flexible and inflexible smart home appliances. Two
scenarios are considered in the case study. The results show that efficient scheduling of smart home appliances combined with optimal control of distributed energy system can significantly reduce the total daily electricity cost by more than 50%. The optimal control of distributed energy system was also shown to have an effect on the scheduling of smart home appliances.