BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Canada/Eastern BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20211104T021925Z UID:C4407A59-492C-41EE-A18B-72BD2AD03AED DTSTART;TZID=Canada/Eastern:20210721T183000 DTEND;TZID=Canada/Eastern:20210721T193000 DESCRIPTION:Modern control and protection systems of smart grids rely on th e estimation of frequency\, amplitude and phase-angle of voltage/current s ignals. It is known that estimation of the parameters of such signals is c rucial for seamless operation of electronically-coupled distributed genera tion (DG) systems and advanced measurement sensors such as phasor measurem ent units (PMUs). Moreover\, many robust control and islanding detection m ethods in microgrids\, as well as grid synchronization schemes for power e lectronics systems\, depend on accurate estimates of the frequency and pha se-angles. Estimation of voltage/current signal parameters has attracted a lot of attention. Various methods have been proposed to improve the param eter estimation in the presence of measurement noise\, harmonics\, and DC offset. Kalman filtering (KF)\, discrete Fourier transform (DFT) and Phase -locked loop (PLL) systems have been widely used in communication and powe r systems. The KF requires an accurate state-space model\, the knowledge o f the initial covariance matrix\, the variance of the process\, and that o f the measurement noise. On the other hand\, frequency variations\, inter- harmonics\, and spectral interference are challenges to the DFT-based meth ods. Unlike the KF and DFT based methods\, the PLL provides a stable and a ccurate reference for synchronization despite the system oscillations and distortions. Moreover\, the PLL has a simple and robust structure for impl ementations in digital platforms. Noise immunity and disturbance rejection capabilities of a PLL can be enhanced at the cost of computation time and stability characteristics. To overcome such challenges\, new and advanced PLLs have been proposed that improve the parameter estimation by utilizin g different filtering techniques.\n\nIn this talk\, several PLL structures will be presented and discussed. In particular\, the conventional single- phase PLL\, synchronous reference frame PLL (SRF-PLL)\, enhanced PLL (ePLL )\, and unified three-phase signal processor (UTSP) will be studied in det ails\, and their performances are compared using MATLAB simulations. This presentation will be suitable for researchers and engineers from power sys tems and control disciplines.\n\nSpeaker(s): Houshang Karimi\, \n\nVirtual : https://events.vtools.ieee.org/m/276405 LOCATION:Virtual: https://events.vtools.ieee.org/m/276405 ORGANIZER:shamsodin.taheri@uqo.ca SEQUENCE:14 SUMMARY:Advanced Phase-Locked Loop Algorithms for Modern Power System Appli cations URL;VALUE=URI:https://events.vtools.ieee.org/m/276405 X-ALT-DESC:Description: <br /><p>Modern control and protection systems of s mart grids rely on the estimation of frequency\, amplitude and phase-angle of voltage/current signals. It is known that estimation of the parameters of such signals is crucial for seamless operation of electronically-coupl ed distributed generation (DG) systems and advanced measurement sensors su ch as phasor measurement units (PMUs). Moreover\, many robust control and islanding detection methods in microgrids\, as well as grid synchronizatio n schemes for power electronics systems\, depend on accurate estimates of the frequency and phase-angles. Estimation of voltage/current signal param eters has attracted a lot of attention. Various methods have been proposed to improve the parameter estimation in the presence of measurement noise\ , harmonics\, and DC offset. Kalman filtering (KF)\, discrete Fourier tran sform (DFT) and Phase-locked loop (PLL) systems have been widely used in c ommunication and power systems. The KF requires an accurate state-space mo del\, the knowledge of the initial covariance matrix\, the variance of the process\, and that of the measurement noise. On the other hand\, frequenc y variations\, inter-harmonics\, and spectral interference are challenges to the DFT-based methods. Unlike the KF and DFT based methods\, the PLL pr ovides a stable and accurate reference for synchronization despite the sys tem oscillations and distortions. Moreover\, the PLL has a simple and robu st structure for implementations in digital platforms. Noise immunity and disturbance rejection capabilities of a PLL can be enhanced at the cost of computation time and stability characteristics. To overcome such challeng es\, new and advanced PLLs have been proposed that improve the parameter e stimation by utilizing different filtering techniques.</p>\n<p>In this tal k\, several PLL structures will be presented and discussed. In particular\ , the conventional single-phase PLL\, synchronous reference frame PLL (SRF -PLL)\, enhanced PLL (ePLL)\, and unified three-phase signal processor (UT SP) will be studied in details\, and their performances are compared using MATLAB simulations. This presentation will be suitable for researchers an d engineers from power systems and control disciplines.</p> END:VEVENT END:VCALENDAR