Model Predictive Control for Hybrid Energy Storage Systems with Prescribed Performance

This paper presents a cooperative control strategy for a photovoltaic-storage hybrid parallel power system in substations. By integrating prescribed performance control (PPC) and model predictive control (MPC), the strategy dynamically optimizes power allocation between batteries and supercapacitors, significantly enhancing the system’s dynamic response speed and control precision. This enables an efficient response to load demands and optimized system stability. Simulation results demonstrate that the proposed strategy achieves high reliability and cost-effectiveness.