Multi-energy systems have been leaping forward for its various benefits, e.g., energy conservation and emission reduction. Multi-energy systems exhibit multi-time scaled characteristic and broad bandwidth, thereby causing difficulties in dynamic modeling. In this work, two-time scaled system identification is studied. A method is developed to solve the problem, which uses proper test signal design, signal pre-filtering and subtraction. The high and low frequency parts of the two-time scale system are identified separately and then combined to form the total system in a parallel structure. The consistency of the method is proved and case studies are used to verify the effectiveness of the method.

多能源系统因其各种优点（例如节能和减排）而飞跃发展。多能量系统表现出多次时间缩放的特性和较宽的带宽，从而在动态建模中造成困难。在这项工作中，研究了两次按比例缩放的系统识别。开发了一种解决该问题的方法，该方法使用适当的测试信号设计，信号预滤波和减法。分别确定两次刻度系统的高频和低频部分，然后将它们组合起来以形成并行结构的整个系统。证明了该方法的一致性，并通过案例研究验证了该方法的有效性。