Peak shaving and valley filling potential of energy management system in high-rise residential building

Abstract

In recent years, China has recognized rapidly increasing High-rise Residential Building (HRB) constructions due to the high rate of urbanization. The intensive and variable electricity demand in HRBs exerts large pressure on grid. Pairing Energy Management System (EMS) with PV storage system provides a clean and efficient way to utilize local renewable resources. By dispatching shiftable loads and storage resources, EMS could effectively reshape the electricity net demand profiles and match customer demand and PV generation. In this paper, a Multi-Agent System (MAS) framework is employed to investigate the peak shaving and valley filling potential of EMS in a HRB which is equipped with PV storage system. The effects of EMS on shiftable loads and PV storage resources are analyzed. The simulation results reveal the feasibility of the proposed approach to effectively flatten the HRB electricity demand and net demand profiles. With the help of EMS, the peak-to-valley ratio of demand profiles and net demand profile are reduced significantly.