BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20201101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210205T204656Z UID:CFA10343-DE47-498A-8464-C2757253FB93 DTSTART;TZID=US/Eastern:20210121T165000 DTEND;TZID=US/Eastern:20210121T180000 DESCRIPTION:Please join this webinar with Dr. Ulrich Muenz\, head of autono mous systems and control at Siemens Technology. 1 PDH will be provided to attendees who will be tracked and proven to be in attendance for this enti re webinar.\n\nAbstract:\n\nReliable power system operation with 100% inve rter based renewable generation is an unsolved and challenging problem. Th e main reason is that today’s power systems require that at least 25% of the load is supplied by synchronous generators at any time\, e.g. gas tur bines\, steam turbines\, or diesel generators\, as documented in studies f or Hawaii and Ireland [1][2]. One of the most challenging factors for achi eving reliable operation with 100% inverter based renewable generation is dynamic security\, i.e.\, power system stability after N-1 contingencies. This road block for high renewable generation can be overcome using Dynami c Security Optimization (DSO) technology for tuning controller parameters of generation units in order to improve the dynamic security of the power system [3][4]. In this presentation\, we provide an overview of the develo ped technology as well as first results from our U.S. Department of Energy ARPA-E funded project with Hawaiian Electric’s\, Hawaii Island Service Territory (HECO) as well as our partners Pacific Northwestern National Lab oratory and OPAL-RT.\nDynamic Security Optimization continuously adapts th e local controllers of both conventional and renewable generators to incre ase power oscillation damping and ensure power system reliability as the g eneration mix changes. This will be demonstrated in the course of our proj ect in a real-time simulation of Hawai`i Island’s power system. Compared to many alternative solutions for power oscillations damping\, the Dynami c Security Optimization solution does not require real-time communication and is brownfield-ready because it builds on existing controller structure s and does not require a fundamental change of the control architecture.\n \nReferences:\n[1] J. Cole\, “Oahu Distributed PV Grid Stability Study\, ” Hawaii Natural Energy Institute\, 2016. [Online]. Available: https://w ww.hnei.hawaii.edu/projects/oahu-distributed-pv-grid-stability-study.\n[2] “Annual Renewable Energy Constraint and Curtailment Report\,” EIRGRID and SONI. [Online]. Available: http://www.eirgrid.ie/site-files/library/E irGrid/Annual-Renewable-Constraint-and-Curtailment-Report-2016-v1.0.pdf.\n [3] A. Mešanović\, D. Unseld\, U. Münz\, C. Ebenbauer\, and R. Findeise n\, “Parameter tuning and optimal design of decentralized structured con trollers for power oscillation damping in electrical networks\,” in 2018 Annual American Control Conference (ACC)\, 2018\, pp. 3828–3833.\n[4] A . Mešanović\, U. Münz\, J. Bamberger\, and R. Findeisen\, “Controller Tuning for the Improvement of Dynamic Security in Power Systems\,” in 2 018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Eu rope)\, 2018\, pp. 1–6.\n\nCo-sponsored by: IEEE PES Region 2\n\nSpeaker (s): Ulrich Munz\, \n\nAgenda: \n4:50 - 5:00 PM: Welcome and Introduction\ n\n5:00 - 5:55 PM: Presentation\n\n5:55 - 6:00 PM: Q&A\n\nColumbus\, Ohio\ , United States\, Virtual: https://events.vtools.ieee.org/m/253732 LOCATION:Columbus\, Ohio\, United States\, Virtual: https://events.vtools.i eee.org/m/253732 ORGANIZER:pshrestha1@aep.com SEQUENCE:14 SUMMARY:PES Webinar: Dynamic Security Optimization for Hawaii Island’s Po wer Systems with 100% Inverter-based Generation URL;VALUE=URI:https://events.vtools.ieee.org/m/253732 X-ALT-DESC:Description: <br /><p><strong>Please join this&nbsp\;webinar wit h Dr. Ulrich Muenz\, head of autonomous systems and control at Siemens Tec hnology. 1 PDH will be provided to attendees who will be tracked and prove n to be in attendance for this entire webinar.</strong></p>\n<p><strong>Ab stract:</strong>&nbsp\;</p>\n<p>Reliable power system operation with 100% inverter based renewable generation is an unsolved and challenging problem . The main reason is that today&rsquo\;s power systems require that at lea st 25% of the load is supplied by synchronous generators at any time\, e.g . gas turbines\, steam turbines\, or diesel generators\, as documented in studies for Hawaii and Ireland [1][2]. One of the most challenging factors for achieving reliable operation with 100% inverter based renewable gener ation is dynamic security\, i.e.\, power system stability after N-1 contin gencies. This road block for high renewable generation can be overcome usi ng Dynamic Security Optimization (DSO) technology for tuning controller pa rameters of generation units in order to improve the dynamic security of t he power system [3][4]. In this presentation\, we provide an overview of t he developed technology as well as first results from our U.S. Department of Energy ARPA-E funded project with Hawaiian Electric&rsquo\;s\, Hawaii I sland Service Territory (HECO) as well as our partners Pacific Northwester n National Laboratory and OPAL-RT.<br /> Dynamic Security Optimization con tinuously adapts the local controllers of both conventional and renewable generators to increase power oscillation damping and ensure power system r eliability as the generation mix changes. This will be demonstrated in the course of our project in a real-time simulation of Hawai`i Island&rsquo\; s power system. Compared to many alternative solutions for power oscillati ons damping\, the Dynamic Security Optimization solution does not require real-time communication and is brownfield-ready because it builds on exist ing controller structures and does not require a fundamental change of the control architecture.</p>\n<p>References:<br />[1] J. Cole\, &ldquo\;Oahu Distributed PV Grid Stability Study\,&rdquo\; Hawaii Natural Energy Insti tute\, 2016. [Online]. Available: https://www.hnei.hawaii.edu/projects/oah u-distributed-pv-grid-stability-study.<br />[2] &ldquo\;Annual Renewable E nergy Constraint and Curtailment Report\,&rdquo\; EIRGRID and SONI. [Onlin e]. Available: http://www.eirgrid.ie/site-files/library/EirGrid/Annual-Ren ewable-Constraint-and-Curtailment-Report-2016-v1.0.pdf.<br />[3] A. Me&sca ron\;anović\, D. Unseld\, U. M&uuml\;nz\, C. Ebenbauer\, and R. Findeisen \, &ldquo\;Parameter tuning and optimal design of decentralized structured controllers for power oscillation damping in electrical networks\,&rdquo\ ; in 2018 Annual American Control Conference (ACC)\, 2018\, pp. 3828&ndash \;3833.<br />[4] A. Me&scaron\;anović\, U. M&uuml\;nz\, J. Bamberger\, an d R. Findeisen\, &ldquo\;Controller Tuning for the Improvement of Dynamic Security in Power Systems\,&rdquo\; in 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)\, 2018\, pp. 1&ndash\;6.</p> \n<p>&nbsp\;</p><br /><br />Agenda: <br /><p><strong>4:50 - 5:00 PM: Welco me and Introduction</strong></p>\n<p><strong>5:00 - 5:55 PM: Presentation< /strong></p>\n<p><strong>5:55 - 6:00 PM: Q&amp\;A</strong></p> END:VEVENT END:VCALENDAR