Advanced renewable energy system using functional electric power storage devices

为了将波动的可再生能源转化为可控的恒定功率，我们将其分解为波动和平均分量。波动部分由于响应速度快而被超导磁能（SMES）补偿，平均部分由于容量大而被氢气通过电解液吸收或由燃料电池供给。利用卡尔曼滤波算法预测平均功率。研究发现，所提出的功能储氢系统的电效率比单一储氢系统的电效率大。

In order to convert fluctuating renewable energies into controllable constant power, we resolve them into fluctuating and averaged components. While the fluctuating part is compensated by SMES (superconducting magnetic energy storage)due to its quick response, the averaged part is absorbed by hydrogen through electrolyte or supplied through fuel cell due to its large capacity. The average power is predicted by Kalman filter algorithm. It is found that electrical efficiency of the proposed functional storage systems becomes larger than that of single hydrogen storage system.