Dissipativity reinforcement in feedback systems and its application to expanding power systems
Dissipativity reinforcement in feedback systems and its application to expanding power systems
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DOI：
10.1002/rnc.3965
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发表时间：
2018-03
影响因子：
3.9
通讯作者：
Kengo Urata;M. Inoue
中科院分区：
文献类型：
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作者：
Kengo Urata;M. Inoue
本文着重于互连的被动系统的性能分析和改进由被动子系统组成的反馈系统继承了参数依赖性的被动性，并给出了参数过渡。与子系统相比，反馈系统被严格改善，这在本文中被称为耗散性。随后，我们将整个系统逐渐加强，然后将参数依赖性的被动性延伸到频率依赖性通过迭代反馈连接进行加固，尤其是涉及大量可再生能源生成器的电力系统，我们提出了设计电源系统的策略，以便整个系统的耗散性能逐渐通过规模扩展增强，即随着安装能量发电机的数量的增加。
This paper focuses on the performance analysis and improvement of interconnected passive systems. We assume that each subsystem has a special passivity property that is characterized by 2 parameters. The parameters are also utilized for evaluating the dissipation performance as the L2‐gain. Then, the feedback system composed of passive subsystems inherits the parameter‐dependent passivity, and the parameter transition is given. In addition, it is shown that the dissipation performance of the feedback system is strictly improved as compared with that of the subsystems, which is called dissipativity reinforcement in this paper. Furthermore, we expand the feedback system to a larger‐scale system via the iterative feedback connection of the passive subsystems. Then, the performance of the entire system is gradually reinforced with the increase in the number of subsystems. Subsequently, we extend the class of parameter‐dependent passivity to a frequency‐dependent one. Finally, dissipativity reinforcement via an iterative feedback connection is applied to a power system that involves a large number of renewable energy generators. In particular, we propose a strategy for designing the power system, such that the dissipation performance of the entire system is gradually reinforced via scale expansion, ie, with the increase in the amount of energy generators installed.