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X-WR-CALDESC:Events for EE
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TZID:Asia/Kolkata
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TZOFFSETFROM:+0530
TZOFFSETTO:+0530
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DTSTART:20230101T000000
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DTSTART;TZID=Asia/Kolkata:20230620T080000
DTEND;TZID=Asia/Kolkata:20230707T170000
DTSTAMP:20260528T131832
CREATED:20230703T083659Z
LAST-MODIFIED:20230703T084023Z
UID:240793-1687248000-1688749200@ee.iisc.ac.in
SUMMARY:Summer School 2023
DESCRIPTION:Summer School 2023 Website Link \nsummer school | EE (iisc.ac.in)
URL:https://ee.iisc.ac.in/event/summer-school-2023/
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230621T160000
DTEND;TZID=Asia/Kolkata:20230621T183000
DTSTAMP:20260528T131832
CREATED:20230619T035749Z
LAST-MODIFIED:20230619T035749Z
UID:240776-1687363200-1687372200@ee.iisc.ac.in
SUMMARY:Ph. D. Colloquium - Ms. Anwesha Mukhopadhyay: 10.30 am Wed\, 21 June 2023: Reduced Electrolytic Capacitor-Based Single-Phase Converters: Topologies\, Control\, and Stability
DESCRIPTION:Ph. D. Thesis ColloquiumStudent: Anwesha MukhopadhyayAdvisor: Prof. Vinod JohnDegree: PhDDate and Time: 10:30 AM\, 21st June 2023Place: MMCR EE\, IISc.=======================================================Title: Reduced Electrolytic Capacitor-Based Single-Phase Converters: Topologies\, Control\, and StabilityAbstract: Single-phase power converters find wide applications as inverters for grid integration of solar photovoltaics\, fuel cells\, front-end converters for consumer electronics\, battery chargers for electric vehicles\, etc. Applications ranging from a few hundred Watts for household solar micro-inverters\, to multi-Megawatt levels for electric traction powertrain\, single-phase converters are adopted worldwide.In single-phase power conversion\, there is always a mismatch between the instantaneous input and output power\, producing a second-harmonic ripple in the dc link current. Electrolytic capacitors are conventionally deployed for filtering the second-harmonic ripple due to their low cost and excellent energy density. However\, their frequent premature failures often compromise the lifespan of the converters. Therefore\, in applications demanding higher reliability\, electrolytic capacitors are minimised or eliminated completely. In recent technologies demanding high power density\, active filters have minimised the electrolytic capacitors in the circuit. However\, the cost\, efficiency\, and power density trade-offs need scrutiny before adopting an active filter topology.Among the reported active filters (AF) for second-harmonic ripple mitigation\, series capacitor stacked buffer (SSB) topology has emerged as a popular choice owing to its high efficiency and compactness. The use of low VA-rated switching devices enables achieving the high efficiency equivalent to passive filters. Owing to these benefits\, the use of SSB is proposed in two-terminal active capacitors and active inductors and pulsed power applications.Despite its prospective utility in a range of applications\, the model of the SSB\, essential for implementing functional engineering control strategies under a wide range of operating conditions\, is not discussed in existing literature. In the first part of the work\, the plant model for controlling the buffer converter in voltage control mode as well as current control mode is developed. Using the proposed model\, a closed-loop control scheme is developed\, which ensures a fixed-frequency switching of the buffer converter. A step-by-step controller design procedure is elaborated\, and the controller gain limit is identified to ensure closed-loop stability. The stability limit and the filtering performance are verified experimentally on a hardware prototype.Based on the developed SSB model\, an average current mode control is implemented in the second part of the work. Unlike the existing methods of current mode control\, in the proposed scheme\, the current reference is estimated without using the dc-link current sensor\, which is verified experimentally.The SSB-based existing topologies\, though promising for many applications\, are not realised with minimum switch counts. As opposed to four switch H-bridge-based buffer converter\, two switch-based series capacitor stacked buffer converter topologies are synthesised in this part of the work. The generalised topology synthesis procedure and control challenges are identified. One of the proposed two-switch-based topologies named Series Capacitor Boost Hybrid Filter (SC-BOHF) is implemented and verified experimentally.Apart from the active solutions\, an alternative dc bus filter structure\, consisting of a combination of an inductor (L) and capacitor (C)\, tuned at the second harmonic (2ω) frequency\, reduces the capacitance requirement\, enhancing the likelihood of deployment of film capacitors. The proposed solid-state tuning restorer (SSTR) offers consistent filtering performance of the LC filter under frequency and parameter variations. As per the tuning requirement of the LC filter\, SSTR acts as an electronic inductor or capacitor. It also ensures a graceful degradation in the filter characteristics during SSTR converter failure modes. The evolution of the SSTR configuration\, analysis of its VA rating\, and control requirements are studied in this work.The realisation that SSTR requires to behave as an electronic inductor and capacitor as per the sense of LC filter detuning motivated this part of the work\, where a unified active capacitor and inductor (UACI) is proposed and implemented without using any dc capacitor. Conventionally\, an H-bridge-based active capacitor or inductor requires large dc capacitances to ensure satisfactory current THD. In the proposed configuration\, a dc capacitor-less three-leg converter topology is proposed to emulate a two-terminal unified active capacitor and inductor. Based on the current reference\, the proposed configuration emulates inductive or capacitive characteristics and smoothly transits from one characteristic to another. The operation of the proposed UACI is studied\, and a closed-loop control scheme is developed.All the proposed methods are validated on hardware prototypes that have been developed as a part of the work.              ——————           ALL ARE WELCOME               —————
URL:https://ee.iisc.ac.in/event/ph-d-colloquium-ms-anwesha-mukhopadhyay-10-30-am-wed-21-june-2023-reduced-electrolytic-capacitor-based-single-phase-converters-topologies-control-and-stability/
LOCATION:MMCR\, Hall C 241\, 1st floor\, EE department
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230621T163000
DTEND;TZID=Asia/Kolkata:20230706T223000
DTSTAMP:20260528T131832
CREATED:20230612T003521Z
LAST-MODIFIED:20230718T050519Z
UID:240769-1687365000-1688682600@ee.iisc.ac.in
SUMMARY:Provisional Research Admission Results 2023
DESCRIPTION:Provisional research admission results 2023 \nProvisinal Result reserch 2023 \n 
URL:https://ee.iisc.ac.in/event/provisional-research-admission-results-2023/
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230626T163000
DTEND;TZID=Asia/Kolkata:20230626T183000
DTSTAMP:20260528T131832
CREATED:20230619T055437Z
LAST-MODIFIED:20230619T055437Z
UID:240778-1687797000-1687804200@ee.iisc.ac.in
SUMMARY:[CPRI Chair Talk] Prof Sukumar Brahma on 26th June 2023 at 11 am at MMCR\, EE Dept
DESCRIPTION:——————————————————————————————————– \nTitle: Source-Agnostic\, Inherently Directional Time-Domain Distance Relay \n——————————————————————————————————– \n\nAbstract: \nThere have been reported instances of legacy numerical distance relays failing to identify fault direction when they are fed by an inverter based resource (IBR) – solar\, wind or storage. This is largely because the response to fault from an inverter is radically different than the fault response of a traditional synchronous machine. This presentation will explain the reasons for misoperations and introduce design\, implementation\, testing and validation of a distance relay designed in time domain which avoids polarization problems in numerical legacy relays that operate in phasor domain. It will also report superior performance of the proposed relay when compared to the only time-domain distance relay in the market that operates based on travelling waves. \n\nBio: \nSukumar Brahma received his Bachelor of Engineering from Gujarat University in 1989\, Master of Technology from Indian Institute of Technology\, Bombay in 1997\, and PhD in from Clemson University in 2003; all in Electrical Engineering. He joined Clemson university as the Dominion Energy Distinguished Professor of Power Engineering in August 2018. He also serves as the director of the industry-funded Clemson University Electric Power Research Association (CUEPRA). Before joining Clemson he was William Kersting Endowed Chair Professor at New Mexico State University\, USA. Dr. Brahma has chaired IEEE Power and Energy Society’s Power and Energy Education Committee\, Life Long Learning Subcommittee and Distribution System Analysis Subcommittee. He is a member of the Power System Relaying and Control Committee (PSRCC)\, where he has been contributing to and leading working groups that produce reports\, guides and standards in the area of power system protection. He has been an editor for IEEE Transactions on Power Delivery\, and served as Guest Editor-in-Chief for the Special Issue on Frontiers of Power System Protection for the journal. His research\, widely published and funded by the National Science Foundation\, US Department of Energy\, utilities\, and other government agencies has focused on different aspects of power system modeling\, analysis\, and protection. Fundamentally\, it spans across diverse areas of electrical engineering and computer science\, integrating signal processing\, machine learning\, control and communication to holistically approach the emerging problems in the power and energy domain. Current research\, funded by the US Department of Energy\, investigates and addresses protection and fault location issues in integration of renewables with power systems and develops new paradigms in protection of smart grid\, at both transmission and distribution levels. \n\nDr. Brahma is a Distinguished Lecturer of the IEEE and CPRI Visiting Chair Professor at IISC in 2022-23. He has been elected IEEE Fellow “for contributions to power system protection with distributed and renewable generation”.
URL:https://ee.iisc.ac.in/event/cpri-chair-talk-prof-sukumar-brahma-on-26th-june-2023-at-11-am-at-mmcr-ee-dept/
LOCATION:MMCR\, Hall C 241\, 1st floor\, EE department
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DTSTART;TZID=Asia/Kolkata:20230630T110000
DTEND;TZID=Asia/Kolkata:20230630T130000
DTSTAMP:20260528T131832
CREATED:20230626T033835Z
LAST-MODIFIED:20230626T033835Z
UID:240780-1688122800-1688130000@ee.iisc.ac.in
SUMMARY:[EE Seminar] - Prof. Saikat Chatterjee\, KTH - {Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning}\, Friday\, June 30th\, 11am\, MMCR\, EE.
DESCRIPTION:The IEEE Signal Processing Society\, Bangalore Chapter\, and the Electrical Engineering\, IISc are happy to host the following talk\,\n \nVenue : MMCR (C241)\, EE\, IISc\nTime : 11am-12noon\nDate : 30-June-2023\nSpeaker : Prof. Saikat Chatterjee (KTH)\n \n================\n\nTitle:        DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup\nAbstract:\nWe address the tasks of Bayesian state estimation and forecasting for a model-free process in an unsupervised learning setup. In the seminar\, we discuss our new method called DANSE – Data-driven Nonlinear State Estimation method. DANSE provides a closed-form posterior of the state of the model- free process\, given linear measurements of the state. In addition it provides a closed-form posterior for forecasting. We show how data-driven recurrent neural networks (RNNs) are used in the DANSE to provide closed-form prior of the state and posterior. The training of DANSE\, mainly learning the parameters of RNN\, is executed in an unsupervised learning approach. In unsupervised learning\, we have access to a training dataset consisting of only a set of measurement data trajectories\, but we do not have any access to the state trajectories. Therefore\, DANSE does not have access to state information in training data and can not use supervised learning. Using simulated linear and non- linear process models (Lorenz attractor and Chen attractor)\, we evaluate the unsupervised learning- based DANSE. We show that the proposed DANSE\, without knowledge of the process model and without supervised learning\, provides a competitive performance against model-driven methods\, such as Kalman filter (KF)\, extended KF (EKF) and unscented KF (UKF)\, and a recently proposed hybrid method called KalmanNet.\nPreprint of the paper: https://arxiv.org/abs/2306.03897\nBio:\nSaikat Chatterjee is associate professor at School of Electrical Engineering and Computer Science\, KTH-Royal Institute of Technology\, Sweden. He received a Ph.D. degree from Indian Institute of Science\, India. His website: https://www.kth.se/profile/sach\n\n=================\n\n\n\n​All are welcome\,
URL:https://ee.iisc.ac.in/event/ee-seminar-prof-saikat-chatterjee-kth-data-driven-non-linear-state-estimation-of-model-free-process-in-unsupervised-learning-friday-june-30th-11am-mmcr-ee/
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