论文标题
多功能系统的多时间量表识别
Multi-time scale identification for multi-energy system
论文作者
论文摘要
多能系统的各种好处，例如节能和减少排放。耦合组件能够将能量从一个时间尺度系统传输到另一个时间尺度系统，因此多能系统具有多时间尺度的特征和宽阔的带宽，从而在动态建模中造成了困难。在这项工作中，研究了两次尺度系统的识别。开发了一种方法来解决该问题，该问题使用信号前进行过滤和减法。两次尺度系统的高频和低频部分被单独识别，然后组合以在平行结构中形成合并。证明了该方法的一致性，并使用案例研究来验证该方法的有效性。
Multi-energy systems have been leaping forward for its various benefits, e.g., energy conservation and emission reduction. Coupling components are capable of transmitting energy from one time scale system to another time scale system, so the multi-energy system exhibits multi-time scale characteristic and broad bandwidth, thereby causing difficulties in dynamic modeling. In this work, two-time scale system identification is studied. A method is developed to solve the problem, which is uses 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 incorporated in parallel structure. The consistency of the method is proved and case studies are used to verify the effectiveness of the method.
