Entropy weight and grey relational analysis based virtual capacitance collaborative control for multiple energy storage units

Flexible virtual capacitance control (FVCC) for converter can improve the stability and dynamics of DC bus voltage, but among multiple converters, essential inertia distribution is capable optimizing performance. To rationality distribution, a collaborative (VCCC) strategy energy storage units (ESUs) proposed. Firstly, system required total adjusted according to each individual battery's rated capacity state-of-charge (SOC). Then comes establishment an evaluation mechanism, which takes accounts battery SOC margin, power margin regulation speed. The entropy weight grey relational analysis are used calculate ESU's coefficient then adjust their in real-time. results show that adjustment beneficial controlling batteries within safe range. ESU with smallest or slowest speed supports least inertia, reduce problems such as overload protection action auxiliary limitation, so cooperative effects. Finally, effectiveness proposed verified by hardware-in-the-loop (HIL) simulation experiments.