Compressive Sensing Based Situational Awareness and Sensor Placement for DC Microgrids with Relatively Fixed Operation Patterns
Compressive Sensing Based Situational Awareness and Sensor Placement for DC Microgrids with Relatively Fixed Operation Patterns
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DOI：
10.1109/pesgm48719.2022.9916706
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发表时间：
2020-10
期刊：
影响因子：
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通讯作者：
Shutang You;Yilu Liu
中科院分区：
文献类型：
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作者：
Shutang You;Yilu Liu
针对直流微网运行模式相对固定的情况，提出了一种状态估计和传感器配置方法。它是基于压缩感知理论发展起来的。在拟议的框架下制定了各种类型的衡量标准和组成部分。提出了一种最小化测量矩阵相干性从而提高估计精度的测量布局策略。仿真结果表明，所提出的状态估计和传感器布置方法可以有效地减少传感器的数量，以达到一定的估计精度。
This paper proposes a state estimation and sensor placement method for DC microgrids that has relatively fixed operation patterns. It is developed based on compressive sensing theory. Formulations of various types of measurements and components are developed under the proposed framework. A measurement placing strategy to minimize the coherence of the measurement matrix and thus increase estimation accuracy is presented. Simulation results show that the proposed state estimation and sensor placing approach can effectively reduce the number of sensors to achieve a certain level of estimation accuracy.