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A Model-Based Diagnostic Strategy for Lunar Direct Current Microgrids

Heyer, Gabriel
http://orcid.org/0000-0002-0434-2177
http://rave.ohiolink.edu/etdc/view?acc_num=osu168987030038331

Abstract Details

2023, Master of Science, Ohio State University, Mechanical Engineering.
The National Aeronautics and Space Administration announcement indicating intent to return to the moon as a part of the Artemis plan has sparked research supporting the development of lunar surface technologies. Among these technologies are lunar power systems to provide energy for life support, lunar science experiments, and in-situ resource utilization. A candidate technology in this respect are direct current microgrids which are capable of grid reconfiguration and the integration of distributed energy resources and loads. There properties provide enhanced grid reliability in the face of system faults. However, existing power systems protections and diagnostics lack key detection and isolation capabilities when considering the wide range of faults that can occur in the direct current microgrid environment. This work seeks to develop a model-based fault diagnosis scheme for direct current microgrids using structural analysis methodologies. The proposed diagnostic concept includes three stages. First, traditional overcurrent protection for the rapid mitigation of low impedance short circuit faults. Second, sensor validation algorithms to detect sensor failure. Third, a model-based diagnostics concept leveraging analytical redundancy concepts to detect and isolate the remaining system faults. A structural microgrid model is created and applied for sensor placement analysis, detectability and isolability analysis, and residual generation. These residuals are used to design diagnostic tests to evaluate the presence of faults in the system. Microgrid models are developed in Simulink to generate calibration data for these diagnostic tests. A statistical microgrid model is developed to enable Monte Carlo analysis for the generation of validation data. The proposed diagnostic scheme is shown to provide fast fault detection while maintaining low error rates. It is demonstrated that model-based diagnostics offer the capability to detect and isolate a wider range of faults compared to traditional microgrid protections alone.
Giorgio Rizzoni (Advisor)
Matilde D'Arpino (Advisor)
Qadeer Ahmed (Committee Member)
187 p.
Mechanical Engineering
Fault diagnosis; microgrid; model-based; structural analysis

Recommended Citations

Citations

  • Heyer, G. (2023). A Model-Based Diagnostic Strategy for Lunar Direct Current Microgrids [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu168987030038331

    APA Style (7th edition)

  • Heyer, Gabriel. A Model-Based Diagnostic Strategy for Lunar Direct Current Microgrids . 2023. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu168987030038331.

    MLA Style (8th edition)

  • Heyer, Gabriel. "A Model-Based Diagnostic Strategy for Lunar Direct Current Microgrids ." Master's thesis, Ohio State University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=osu168987030038331

    Chicago Manual of Style (17th edition)

osu168987030038331
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© 2023, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.