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    Dynamic Simulation of Divided Wall Columns and Investigating Their Control Strategies

    , M.Sc. Thesis Sharif University of Technology Ghoreishi Mohammadi, Aref (Author) ; Shahrokhi, Mohammad (Supervisor) ; Vafa, Ehsan (Supervisor)
    Abstract
    Because of lower energy consumption and lower capital cost, divided wall columns attracted wide attention. The main challenge of these units is their controllability. In this thesis dynamic simulation and control of a divided wall column is investigated and an adaptive model predictive controller has been used for control purpose. For dynamic simulation the Aspen Dynamics software and for applying control strategy the MATLAB software have been utilized. The model used for model predictive controller has been obtained by using open loop responses of the system. The main advantage of presented work over the existing ones is using the input-output transfer function of the system model instead... 

    Damping Critical Electromechanical Oscillations in Power System Through Remedial Actions Using Wide Area Measurement System (WAMS)

    , Ph.D. Dissertation Sharif University of Technology Setareh, Mohammad (Author) ; Parniani, Mostafa (Supervisor) ; Aminifar, Farrokh (Co-Supervisor)
    Abstract
    Nowadays, by proliferation the basis of the phasor-based synchronous wide area measurement system (WAMS), its application for improving electromechanical oscillations damping has been considered by researchers. In interconnected power systems, inter-area modes are usually critical modes. There are two approaches for damping these modes by utilizing WAMS: 1) the traditional approach of using power system stabilizers with wide area signals; and 2) discrete corrective actions by changing the operating conditions. The first approach requires a thorough study at the design stage, installation and testing. Besides, the controller is designed for a specific operating point. Nevertheless, in the... 

    Ambient data-based online electromechanical mode estimation by error-feedback lattice RLS filter

    , Article IEEE Transactions on Power Systems ; 2017 ; 08858950 (ISSN) Setareh, M ; Parniani, M ; Aminifar, F ; Sharif University of Technology
    Abstract
    This paper proposes a novel error-feedback lattice recursive least-squares (EF-LRLS) filter for online estimation of power system oscillatory modes. The EF-LRLS filter is applied to ambient data provided by phasor measurement units to identify the autoregressive (AR) model parameters. This filter has a modular structure; accordingly, if the length of the filter equals N, it identifies AR(1) to AR(N) models concurrently. In the proposed method, removing very low and high frequencies and re-sampling steps are fulfilled in an online fashion. This adaptive filter has less computational complexity than standard RLS filter, making it an appropriate choice for online system identification. The...