BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260607T174548Z UID:7F8D7B26-42AB-4C24-A7F4-301447111CDA DTSTART;TZID=America/New_York:20260716T120000 DTEND;TZID=America/New_York:20260716T130000 DESCRIPTION:IEEE WIE AG Schenectady is going to organize WIE Distinguished Lecture (virtual webinar) on "Measurements and Models Applied to Emerging Power Systems" on 16 July 2026\, Thursday\, 12-1 pm EDT. The speaker is Dr . Mihaela Albu\, Professor\, National University of Science and Technology Politehnica Bucharest\, Romania.\n\nModern control algorithms in the emer ging power systems process information delivered mainly by distributed\, s ynchronized measurement systems\, and available in data streams with diffe rent reporting rates. Beyond existing measurement approaches currently emb edded in SCADA framework\, smart meters and high-resolution waveform-based monitoring devices like phasor measurement units (PMUs) which can include fault-recorder functionality\, a new paradigm is on the way to be largely deployed\, based on synchronized measurement information conveyed by poin t-on-wave and sampled-values delivered by new instrument transformers. How ever\, it is expected that on short time horizon the two approaches will c o-exist and this requires special attention to be paid to the different in formation compression rate offered by each measurement chain: for example\ , the lossless compression in case of sampled-data standard has to be corr elated with the lossy information model used by the phasor measurement sys tems.\nThere are several applications where data received with high report ing rate must be used together with aggregated data from measurement equip ment having a lower reporting rate (complying with power quality data aggr egation standards) and the accompanying question is how adequate the energ y transfer models in such variety of cases are. For example\, the emerging active distribution grids operation is impacted by high variability of th e energy transfer and consequently a new model approximation for its chara cteristic quantities (voltages\, currents) is needed. Such a model is requ ired not only in order to be able to correctly design future measurement s ystems but also for better assessing the quality of existing “classical ” measurements\, still in use for power quality improvement\, voltage co ntrol\, frequency control\, network parameter’ estimation etc. The state -of-art in power quality measurements and associated signal processing is applied in emerging control algorithms dedicated to microgrids (including DC and hybrid) and energy communities\, new systems with low inertia and t herefore unprecedent operational constraints. Some of those constraints ar e linked to measurement processes with operational features and therefore they might fail to meet the needs of the user\, unless a careful analysis of the model uncertainties is performed. One key challenge is how to avoid information loss associated with inadequate selection of reporting rate\, measurement window\, filter characteristics etc. which will disguise powe r supply issues/variability\, especially in the case of renewables-based d istributed generation 1.\n\nThe talk will address:\no Measurement paradigm in power systems\no Phasor Measurement Units and WAMSC\no Model uncertain ty and measurement sources of errors\no Information compression\, lossy al gorithms used in existing measurement systems\no Applications and challeng es.\nFlexibility versus variability\;\nEdge computing\;\nEnhancing grid in telligence\;\nData Analytics\nThis presentation provides an overview of th ese techniques\, with examples from worldwide measurement solutions enabli ng modern control deployment.\n\nVirtual: https://events.vtools.ieee.org/m /561302 LOCATION:Virtual: https://events.vtools.ieee.org/m/561302 ORGANIZER:raisa.fabiha@ieee.org SEQUENCE:33 SUMMARY:Distinguished Lecture (VIRTUAL): "Measurements and Models Applied t o Emerging Power Systems" URL;VALUE=URI:https://events.vtools.ieee.org/m/561302 X-ALT-DESC:Description: <br /><p>IEEE WIE AG Schenectady is going to organi ze WIE Distinguished Lecture (virtual webinar) on "Measurements and Models Applied to Emerging Power Systems" on 16 July 2026\, Thursday\, 12-1 pm E DT. The speaker is Dr. Mihaela Albu\, Professor\, National University of S cience and Technology Politehnica Bucharest\,&nbsp\;Romania.</p>\n<p>Moder n control algorithms in the emerging power systems process information del ivered mainly by distributed\, synchronized measurement systems\, and avai lable in data streams with different reporting rates. Beyond existing meas urement approaches currently embedded in SCADA framework\, smart meters an d high-resolution waveform-based monitoring devices like phasor measuremen t units (PMUs) which can include fault-recorder functionality\, a new para digm is on the way to be largely deployed\, based on synchronized measurem ent information conveyed by point-on-wave and sampled-values delivered by new instrument transformers. However\, it is expected that on short time h orizon the two&nbsp\;approaches will co-exist and this requires special at tention to be paid to the different&nbsp\;information compression rate off ered by each measurement chain: for example\, the lossless&nbsp\;compressi on in case of sampled-data standard has to be correlated with the lossy&nb sp\;information model used by the phasor measurement systems.<br>There are several applications where data received with high reporting rate must be used together with aggregated data from measurement equipment having a lo wer reporting rate (complying with power quality data aggregation standard s) and the accompanying question is how adequate the energy transfer model s in such variety of cases are. For example\, the emerging active distribu tion grids operation is impacted by high variability of the energy transfe r and consequently a new model approximation for its characteristic quanti ties (voltages\, currents) is needed. Such a model is required not only in order to be able to correctly design future measurement systems but also for better assessing the quality of&nbsp\;existing &ldquo\;classical&rdquo \; measurements\, still in use for power quality improvement\, voltage&nbs p\;control\, frequency control\, network parameter&rsquo\; estimation etc. The state-of-art in power&nbsp\;quality measurements and associated signa l processing is applied in emerging control&nbsp\;algorithms dedicated to microgrids (including DC and hybrid) and energy communities\, new&nbsp\;sy stems with low inertia and therefore unprecedent operational constraints. Some of those&nbsp\;constraints are linked to measurement processes with o perational features and therefore&nbsp\;they might fail to meet the needs of the user\, unless a careful analysis of the model&nbsp\;uncertainties i s performed. One key challenge is how to avoid information loss associated &nbsp\;with inadequate selection of reporting rate\, measurement window\, filter characteristics etc.&nbsp\;which will disguise power supply issues/ variability\, especially in the case of renewables-based distributed gener ation 1.</p>\n<p>The talk will address:<br>o Measurement paradigm in power systems<br>o Phasor Measurement Units and WAMSC<br>o Model uncertainty an d measurement sources of errors<br>o Information compression\, lossy algor ithms used in existing measurement systems<br>o Applications and challenge s.<br>Flexibility versus variability\;<br>Edge computing\;<br>Enhancing gr id intelligence\;<br>Data Analytics<br>This presentation provides an overv iew of these techniques\, with examples from worldwide&nbsp\;measurement s olutions enabling modern control deployment.</p> END:VEVENT END:VCALENDAR