BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Toronto 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:20211106T224032Z UID:8132BF19-C5D9-4C5A-9781-07480CFFC336 DTSTART;TZID=America/Toronto:20211105T190000 DTEND;TZID=America/Toronto:20211105T200000 DESCRIPTION:Over the last few decades wind energy has emerged as one of the fastest growing mainstream power technologies due to its low cost and env ironmentally friendly nature compared to conventional fossil fuel based po wer generation. Considering available options of state-of-the-art generato r technologies in wind energy conversion system (WECS)\, doubly fed induct ion generator (DFIG) has become popular because of its economic operation\ , ability to regulate in sub-synchronous or super-synchronous speed and de coupled control of active and reactive power. Harnessing regulated power s upply from unpredictable wind blow\, extraction of maximum power from inte rmittent generation and supervision on nonlinear system dynamics of DFIG-W ECS are some of the critically challenging issues for wind energy system. Maximization of the power yielded from wind turbine is possible by optimiz ing tip-speed ratio\, turbine rotor speed or torque and blade angle. Tradi tionally\, maximum power point tracking (MPPT) control algorithm is based on the Hill Climb Search (HCS) method due to its simple implementation and turbine parameter-independent scheme. Since the conventional HCS algorith m has few drawbacks such as power fluctuation and speed-efficiency trade-o ff\, a new adaptive step size based HCS controller is developed in this wo rk to mitigate its deficiencies by incorporating wind speed measurement in the controller. Again\, conventional feedback linearization controllers a re sensitive to system parameter variations and disturbances on grid-conne cted WECS\, which demands advanced control techniques for stable and effic ient performance considering the nonlinear system dynamics. An adaptive ba ckstepping based nonlinear control (ABNC) scheme with iron-loss minimizati on algorithm for DFIG is also developed in this work to obtain both improv ed dynamic performance and reduced power loss.\n\nIn order to verify the e ffectiveness of the proposed control schemes\, simulation models are desig ned using Matlab/Simulink. The proposed MPPT control\, nonlinear control f or grid-connected mode of DFIG-WECS has been successfully implemented in r eal-time using DSP controller board DS1104 for a laboratory 350 W DFIG. In the laboratory environment a 4-quadrant dynamometer is used to emulate th e wind turbine to provide variable wind speed to the generator. The perfor mance of the proposed ABNC is also compared with the benchmark tuned propo rtional-integral (PI) controller under different operating conditions such variable wind speed\, grid voltage disturbance and parameter uncertaintie s and it exhibits excellent grip over the rotor side and grid side convert er control.\n\nVirtual: https://events.vtools.ieee.org/m/283915 LOCATION:Virtual: https://events.vtools.ieee.org/m/283915 ORGANIZER:ajmery.sultana@ryerson.ca SEQUENCE:3 SUMMARY:Recent Advances in Converter Control Techniques for Wind Energy Con version System URL;VALUE=URI:https://events.vtools.ieee.org/m/283915 X-ALT-DESC:Description: <br /><p>Over the last few decades wind energy has emerged as one of the fastest growing mainstream power technologies due to its low cost and environmentally friendly nature compared to conventional fossil fuel based power generation. Considering available options of stat e-of-the-art generator technologies in wind energy conversion system (WECS )\, doubly fed induction generator (DFIG) has become popular because of it s economic operation\, ability to regulate in sub-synchronous or super-syn chronous speed and decoupled control of active and reactive power. Harness ing regulated power supply from unpredictable wind blow\, extraction of ma ximum power from intermittent generation and supervision on nonlinear syst em dynamics of DFIG-WECS are some of the critically challenging issues for wind energy system. Maximization of the power yielded from wind turbine i s possible by optimizing tip-speed ratio\, turbine rotor speed or torque a nd blade angle. Traditionally\, maximum power point tracking (MPPT) contro l algorithm is based on the Hill Climb Search (HCS) method due to its simp le implementation and turbine parameter-independent scheme. Since the conv entional HCS algorithm has few drawbacks such as power fluctuation and spe ed-efficiency trade-off\, a new adaptive step size based HCS controller is developed in this work to mitigate its deficiencies by incorporating wind speed measurement in the controller. Again\, conventional feedback linear ization controllers are sensitive to system parameter variations and distu rbances on grid-connected WECS\, which demands advanced control techniques for stable and efficient performance considering the nonlinear system dyn amics. An adaptive backstepping based nonlinear control (ABNC) scheme with iron-loss minimization algorithm for DFIG is also developed in this work to obtain both improved dynamic performance and reduced power loss.</p>\n< p>&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; In order to verify the effectiveness of the proposed control schemes\, simulation models are designed using Matlab/Simulink. The proposed MPPT control\, non linear control for grid-connected mode of DFIG-WECS has been successfully implemented in real-time using DSP controller board DS1104 for a laborator y 350 W DFIG. In the laboratory environment a 4-quadrant dynamometer is us ed to emulate the wind turbine to provide variable wind speed to the gener ator. The performance of the proposed ABNC is also compared with the bench mark tuned proportional-integral (PI) controller under different operating conditions such variable wind speed\, grid voltage disturbance and parame ter uncertainties and it exhibits excellent grip over the rotor side and g rid side converter control.</p> END:VEVENT END:VCALENDAR