A Scheduling Model of Household Application with a Battery Storage System Based on Charge/Discharge Characteristics of Lithium-ion Battery

Due to over-consumption of fossil fuel and aggravation of greenhouse effects, renewable power system is one of the viable solutions for household application. Lithium-ion batteries are widely used for energy storage and constant energy supply for the excellent electrochemical performances. This work demonstrates a stand-alone renewable power system with battery storage for a household application. An integrated approach is proposed for optimal scheduling of household application, coordinated with the battery storage performances based on battery charge/discharge characteristics. A mixed integer nonlinear programming (MINLP) model for scheduling of application and battery in household is established to minimize the levelized cost of energy (LCOE) of the system. Battery characteristics are optimized by considering the LCOE of the entire system. The strategies for application and battery scheduling in multiple periods are embedded into the model. Results show that the LCOE of the system obtained by the proposed model is reduced by optimizing the battery characteristics and multi-period scheduling schemes. The LCOE of the system depends intensively on the charge/discharge characteristics of battery. These results provide deep insights into design and operation of the battery storage system and the corresponding household power supply system.