考虑荷电状态和功率爬坡率的飞轮-电池混合储能系统能量管理

A flywheel and lithium-ion battery's complementary power and energy characteristics offer grid services with an enhanced power response, energy capacity, and cycling capability with a prolonged system lifetime. Real-time power management and considering storage components' state of charge (SoC) and ramp rate are crucial for optimizing performance. However, there is a need for further improvements in SoC correction techniques and rigorous, realistic testing to ensure accurate and efficient management strategies. This article proposes a Moving Average (MA) and fuzzy logic-based power management for a Hybrid Flywheel and battery energy storage system that optimally share the power among the two technologies, considering the flywheel's SoC and the battery's ramp rate as the most concerning variable of each technology. The system minimizes SoC and ramp rate imbalances by integrating MAs for dynamic energy demand adjustments and fuzzy logic controllers for efficient power redistribution. A power Hardware-in-the-Loop experimental validation utilizing a 120 kW, 7.2 kWh flywheel-based energy storage system coupled with a simulated battery demonstrates improved SoC correction and ramp rate management performance.