Integrated Scheduling of Hybrid Generation and Demand Response Program for a Building

Abstract

This paper illustrates a comprehensive model of an energy management system and a novel control algorithm in a building in a grid-connected state. This study attempts to provide an approach including a proposed scheduling algorithm and a hybrid model of electricity generation to reduce the electricity consumption cost and increase the reliability of the grid in summer due to the great demands of electricity for using air condition systems. The model consists of cogeneration of a photovoltaic system and a diesel generator with a battery storage system. The electrical consumption profile of home appliances used in the daytime is modeled. Then an algorithm is introduced to observe and schedule the electrical appliances and charge and discharge the batteries in an optimal way. The results depict that the unified model and proposed control strategy are performed successfully and the peak of electrical demand is eliminated appropriately. The occupants also can benefit financially in grid-connected mode by selling extra domestic electricity generation to the grid over the peak time period.