Westwick, DavidRosehart, WilliamHossain, Tasnim2016-04-292016-04-2920162016Hossain, T. (2016). Blind Identification of the Electromechanical Modes of a Power System using a Wiener Model (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25148http://hdl.handle.net/11023/2912In this thesis, a blind system identification technique using a Wiener model is used to estimate the power system modes. A Wiener model, a universal approximator consisting of a dynamic linear system followed by a memoryless nonlinear element, is used to estimate the power system nonlinearities. It also constructs a set of intermediate data, which can be used by a linear estimation technique such as subspace identification for estimating the power system electromechanical modes. In this research, a blind variant of a subspace method, Numerical Algorithm for Subspace State Space System IDentification (N4SID), is used. The algorithm is tested with simulation data from the Kundur two-area network. The accuracy and reliability of these estimates are accessed by carrying out Monte Carlo simulations. The estimated results obtained from the simulated system using a Wiener model were very accurate with reduced prediction errors and was a good fit for the power system.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Engineering--Electronics and ElectricalElectromechanical modesSystem IdentificationWiener ModelPower SystemN4SIDmaster thesis10.11575/PRISM/25148