jaue2021-083: Optimally sizing and economic analysis of energy storage system in home energy management system

Abstract

With the popularization of distributed generation and renewable energy technology, the demand side
management of residential energy system has been further developed. Aiming at the problems of low operation
efficiency and insufficient system security in residential distributed system, the application of energy storage
technology can realize peak shaving and valley filling, improve the system reliability and stability. On this basis,
the rational utilization of energy storage equipment and the coordinated operation with other energy supply
equipment have become the key to improve the system economy and flexibility from the user side. In this study, an
independent house in “Jono zero carbon advanced community” in Japan is selected as the research object. Based on
the measured energy consumption data of one year, energy storage equipment is introduced to optimize the system.
Four cases are designed according to the introduction of different energy storage devices, and an optimization model
is established based on adaptive particle swarm optimization(APSO) algorithm. The results indicate that energy
storage equipment can optimize the economy of residential energy system to varying degrees.