Work

Compressive Sensing Based Situational Awareness and Sensor Placement for DC Microgrids with Relatively Fixed Operation Patterns

Year: 2020

Type: preprint

Abstract: This paper proposes a DC microgrid state estimation and sensor placement method based on compressive sensing. 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2010.11218

Authors: You, Shutang, Liu, Yilu

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

Funders: National Science Foundation, U.S. Department of Energy, Division of Electrical, Communications and Cyber Systems

Awards: CPS: Small: Data-driven Real-time Data Authentication in Wide-Area Energy Infrastructure Sensor Networks, G3748995679, NSF Engineering Research Center for Ultra-wide-area Resilient Electric Energy Transmission Network

OpenAlex ID: W4286793288

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