Model Parameter Calibration in Power Systems

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Model Parameter Calibration in Power Systems

University of VermontScholarworks @ UVMGraduate College Dissertations and ThesesDissertations and Theses2020Model Parameter Calibration in Power Syste

Model Parameter Calibration in Power SystemsemsYuhao WuUniversity of VermontFollow this and additional works at: https 7/scholarworks.uvm.edu/graddisÔ* Part of the Computer Sciences CommonsRecom

mended CitationWu, Yuhao, ’Model Parameter Calibration in Power Systems" (2020). Graduate College Dissertations and Theses. 1248.https://scholarworks. Model Parameter Calibration in Power Systems

uvm edu/graddis/1248This Thesis is brought to you for free and open access by the Dissertations and Theses at Scholarworks @ UVM. It has been accepted

Model Parameter Calibration in Power Systems

for inclusion in Graduate College Dissertations and Theses by an authorized administrator of Scholarworks © UVM. For more information, please contact

University of VermontScholarworks @ UVMGraduate College Dissertations and ThesesDissertations and Theses2020Model Parameter Calibration in Power Syste

Model Parameter Calibration in Power Systemsf VermontIn Partial Fulfillment of the Requirements for the Degree of Master of ScienceSpecializing in Computer ScienceMay. 2020Defense Date: March 19

. 2020Thesis Examination Committee:Safwan Wshah. Ph.D.. AdvisorHamid R. Ossareh. Ph.D., ChairpersonJoseph Near. Ph.D.Cynthia J. Forehand. Ph.D., Dean Model Parameter Calibration in Power Systems

of the Graduate CollegeAbstractIn power systems, accurate device modeling is crucial for grid reliability, availability, and resiliency. Many critical

Model Parameter Calibration in Power Systems

tasks such as planning or even realtime operation decisions rely on accurate modeling. This research presents an approach for model parameter calibra

University of VermontScholarworks @ UVMGraduate College Dissertations and ThesesDissertations and Theses2020Model Parameter Calibration in Power Syste

Model Parameter Calibration in Power Systemsd thus may have multiple solutions. We arc trying to solve this problem by applying a deep learning architecture that is trained to estimate model par

ameters from simulated Phasor Measurement Unit (PMU) data. The data recorded after system disturbances proved to have valuable information to verify p Model Parameter Calibration in Power Systems

ower system devices. A quantitative evaluation of the system results is pres ided. Results showed high accuracy in estimating model parameters of 0.01

Model Parameter Calibration in Power Systems

7 MSF. on the testing dataset. We also provide that the proposed system has scalability under the same topology. Wc consider these promising results t

University of VermontScholarworks @ UVMGraduate College Dissertations and ThesesDissertations and Theses2020Model Parameter Calibration in Power Syste

Model Parameter Calibration in Power Systems for allowing me to pursue this research in his Artificial Intelligence Laboratory (VaiL). He was a great help as an advisor and a source of informati

on and academic feedback. 1 would like to thank Ramadan Elmoudi for providing the data generation software (PSSE). Finally. I would like to thank Must Model Parameter Calibration in Power Systems

afa Matar for sharing his experience in the power system.

University of VermontScholarworks @ UVMGraduate College Dissertations and ThesesDissertations and Theses2020Model Parameter Calibration in Power Syste