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Filtering by: Committee Member Cotilla-Sanchez, J. Eduardo Remove constraint Committee Member: Cotilla-Sanchez, J. Eduardo Subject Kalman filtering Remove constraint Subject: Kalman filtering

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  • Distributed Dynamic Multi-Area State Estimation with Fusion Technique

    Creator:
    Guo, Jia
    Abstract:
    As the power system grows larger and more complex, real-time monitoring and control become very significant in order to achieve reliable operation of the power system. Before any security assessment can be made or control actions are taken, the reliable estimate of the existing state of the system must be...
    Resource Type:
    Dissertation
    Full Text:
    mentor for my Ph.D. study. I would also like to thank Prof. Eduardo Cotilla-Sanchez.for his insightful

  • Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter

    Creator:
    Muñoz Constantine, Juan Pablo
    Abstract:
    Due to the popularity of electronically controlled loads and the widespread use of alternative energy sources such as wind turbines and solar cells, the power quality at the distribution level must be carefully monitored. One of the many different means to monitor power quality is through frequency measurements. Nonlinearities cause...
    Resource Type:
    Masters Thesis
    Full Text:
    as ( )  s j kT k kV Ae v (2.9) where A is the amplitude of the complex signal kV and

  • Extended Kalman Filter Simulink Model for Nonlinear System Modeling

    Creator:
    So, Ratanak
    Abstract:
    The objective of the work presented herein is the development of the extended Kalman filter for nonlinear system modeling. A standard Kalman filter is a well-known filter for estimating the state of a system, assuming the system is linear and it has a Gaussian distribution in its noise. In reality,...
    Resource Type:
    Masters Thesis
    Full Text:
    (4.15) ω̇ = −3λ 2J Iasin(θ) + 3λ 2J Ibcos(θ)− Fω J +4α (4.16) θ̇ = ω (4.17) y = [ Ia Ib