BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20221202T195718Z UID:F9B396DC-D8DC-4885-82E5-46EF8630FDD8 DTSTART;TZID=America/New_York:20221202T120000 DTEND;TZID=America/New_York:20221202T130000 DESCRIPTION:Abstract:\n\nTo make well-informed decisions\, power system ope rators need accurate timely estimates of the operational conditions of the power grid. Up to the present time\, conventional static state estimators have been widely deployed in utility control centers to improve the estim ation accuracy and expand the monitoring areas. However\, these estimators are no longer sufficient for monitoring the modern power grid\, which is experiencing increasing uncertainty and variation driven by the high penet ration of intermittent renewable energy sources (mainly solar and wind). I n fact\, conventional static state estimation methods for power grids ofte n fail to provide any useful information during transmission-line tripping and cascading grid failures when the power system rapidly changes\, and s tate estimation results are crucially needed.\n\nIn this presentation\, th e conventional state estimation is reviewed. Also\, a dynamic state estima tion (DSE) approach is proposed that can not only estimate current operati onal conditions but also predict their future trends and quantify their un certainty. To minimize the financial cost of measurement devices while ach ieving observability of important system states\, observability and detect ability studies are carried out to guide measurement placement and model s election. It is shown that many dynamic states in the power systems are ma rginally observable (virtually unobservable). If an observer model can be chosen to make the eigenvalues of the corresponding states stable\, the DS E can still converge to the true value of the states.\n\nCo-sponsored by: Binghamton Data Science TAE\n\nSpeaker(s): Ning Zhou\, \n\nAgenda: \nLunch available.\n\nParking info for external guests: Please park at the[visito r parking lot](https://www.google.com/search?q=388+West+Dr%2C+Vestal%2C+NY +13850&rlz=1C1GKLA_enUS670US670&oq=388+West+Dr%2C+Vestal%2C+NY+13850&aqs=c hrome..69i57j69i60l3.636j0j4&sourceid=chrome&ie=UTF-8) and get a ticket wh en you enter the parking lot. Bring your ticket to Dr. Ning Zhou. We will give you a prepaid parking pass for exiting the parking lot. Here is the d irection from the visitor parking lot to Acdiamic Building A: [Parking map ](https://events.vtools.ieee.org/event_media/download/20168)\n\nRoom: 340\ , Bldg: Academic A \, 4400 Vestal Pkwy East\, Binghamton University\, BING HAMTON\, New York\, United States\, 13902\, Virtual: https://events.vtools .ieee.org/m/334779 LOCATION:Room: 340\, Bldg: Academic A \, 4400 Vestal Pkwy East\, Binghamton University\, BINGHAMTON\, New York\, United States\, 13902\, Virtual: htt ps://events.vtools.ieee.org/m/334779 ORGANIZER:ziang.zhang@binghamton.edu SEQUENCE:7 SUMMARY:Binghamton Data Science TAE / IEEE PES Seminar: Integrated Dynamic State Estimation in Power Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/334779 X-ALT-DESC:Description: <br /><p><strong><u>Abstract: </u></strong></p>\n<p >To make well-informed decisions\, power system operators need accurate ti mely estimates of the operational conditions of the power grid. Up to the present time\, conventional static state estimators have been widely deplo yed in utility control centers to improve the estimation accuracy and expa nd the monitoring areas. However\, these estimators are no longer sufficie nt for monitoring the modern power grid\, which is experiencing increasing uncertainty and variation driven by the high penetration of intermittent renewable energy sources (mainly solar and wind). In fact\, conventional s tatic state estimation methods for power grids often fail to provide any u seful information during transmission-line tripping and cascading grid fai lures when the power system rapidly changes\, and state estimation results are crucially needed.</p>\n<p>In this presentation\, the conventional sta te estimation is reviewed. Also\, a dynamic state estimation (DSE) approac h is proposed that can not only estimate current operational conditions bu t also predict their future trends and quantify their uncertainty. To mini mize the financial cost of measurement devices while achieving observabili ty of important system states\, observability and detectability studies ar e carried out to guide measurement placement and model selection. It is sh own that many dynamic states in the power systems are marginally observabl e (virtually unobservable). If an observer model can be chosen to make the eigenvalues of the corresponding states stable\, the DSE can still conver ge to the true value of the states.</p><br /><br />Agenda: <br /><p>Lunch available.</p>\n<p>Parking info for external guests:&nbsp\;Please park at the<a href="https://www.google.com/search?q=388+West+Dr%2C+Vestal%2C+NY+13 850&amp\;rlz=1C1GKLA_enUS670US670&amp\;oq=388+West+Dr%2C+Vestal%2C+NY+1385 0&amp\;aqs=chrome..69i57j69i60l3.636j0j4&amp\;sourceid=chrome&amp\;ie=UTF- 8"> visitor parking lot</a> and get a ticket when you enter the parking lo t. Bring your ticket to Dr. Ning Zhou. We will give you a prepaid parking pass for exiting the parking lot.&nbsp\;Here is the direction from the vis itor parking lot to Acdiamic Building A: <a href="https://events.vtools.ie ee.org/event_media/download/20168">Parking map</a></p> END:VEVENT END:VCALENDAR