Intelligent Scheduling Technology For Energy Storage Systems

With the continuous expansion of new energy grid integration, the demand for flexible regulation resources in the power grid is increasing. The home energy storage battery system, through charge/discharge decisions, can improve energy management in the distribution network and reduce demand response costs, becoming a crucial support for the stable operation of the power system.

In power plant applications, the residential energy storage device needs to respond dynamically based on grid dispatch instructions and market price signals. The system can develop optimized charge/discharge plans by monitoring grid frequency, voltage, and other operating parameters in real time, combined with load forecast data. Dynamic charge/discharge control strategies can be established based on the different requirements of the grid for renewable energy power output and the battery's own operational constraints.

At the configuration strategy level, the power-to-capacity ratio of the home battery storage with solar device directly affects the system's regulation capability. Smoothing power fluctuations places far greater demands on power configuration than on energy configuration; some batteries are designed with short-term discharge modes exceeding rated power. The energy management system needs to comprehensively consider constraints such as state of charge (SOC) boundaries, charge/discharge rate limits, and cycle life.