Optimal energy management is a major challenge for most energy storage systems (ESSs), which is especially a big concern for the superconducting fault current limiter-magnetic ESS (SFCL-MES). To prevent malfunction, the superconducting coil (SC) current of the SFCL-MES needs to be controlled strictly within a well-defined operational range. To optimally utilize the energy capability of the ESS while keeping the state of charge (SOC) within a safe range, a novel multi-input multi-output fuzzy logic controller (FLC), which adjusts both the filter time constant and the SOC regulator gains, is proposed for optimal energy utilization. The parameters of the FLC were further optimized offline by particle swarm optimization with real collected operational data. The optimized FLC has been successfully implemented on a 1MVA/1MJ prototype installed in a wind farm. The operational results of the prototype demonstrate the good performance of the proposed approaches.

最佳的能源管理是大多数储能系统（ESS）的主要挑战，这对于超导故障限流器-磁性ESS（SFCL-MES）尤其重要。为防止故障，SFCL-MES的超导线圈（SC）电流需要严格控制在明确定义的工作范围内。为了在保持充电状态（SOC）在安全范围内的同时最佳利用ESS的能量功能，新型的多输入多输出模糊逻辑控制器（FLC）可以同时调整滤波器时间常数和SOC调节器增益建议用于最佳能源利用。FLC的参数通过粒子群优化和实际收集的运行数据进一步离线优化。优化的FLC已成功安装在风电场中安装的1MVA / 1MJ原型上。原型的运行结果证明了所提出方法的良好性能。