Optimal Configuration of BESS in Commercial Area Considering Virtual Energy Storage Characteristics of Load

Abstract

The rapid development of energy storage technology has gradually increased the economic efficiency and flexibility of power systems, while the virtual energy storage of load(VES) based on demand side management has received extensive attention as a kind of generalized energy storage. We take the commercial area prosumers as the research objects and establish the VES model of air conditioning load with time decoupling characteristics based on human comfort range. On this basis, considering the seasonal and climatic differences between load and photovoltaic (PV) power generation and the life cycle cost, a bi-level optimal configuration model for battery energy storage system (BESS) considering the VES characteristics is established, and the Gurobi solver combined with the modified differential evolution (MDE) is adopted. Finally, the specific example shows that the participation of VES can effectively improve the economic efficiency of BESS configuration in commercial area, and the impact of energy storage system on PV consumption is analyzed.

Keywords

• virtual energy storage
• air conditioning load
• battery energy storage
• optimal configuration
• differential evolution algorithm