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X-WR-CALDESC:Events for EE
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TZID:Asia/Kolkata
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TZOFFSETFROM:+0530
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20231201T150000
DTEND;TZID=Asia/Kolkata:20231201T170000
DTSTAMP:20260527T224650
CREATED:20231128T085732Z
LAST-MODIFIED:20231128T085732Z
UID:241165-1701442800-1701450000@ee.iisc.ac.in
SUMMARY:[EE Ph. D. Colloq.] - Dual Mode Operation of Grid-tied Inverters: Modeling\, Islanding Detection\, and Transfer of Control
DESCRIPTION:Ph. D. Thesis ColloquiumStudent: Sugoto MaulikAdvisor: Prof. Vinod JohnDegree: PhDDate and Time: 03:00 PM\, 1st December 2023Place: MMCR EE\, IISc.=========================================Title: Dual Mode Operation of Grid-tied Inverters: Modeling\, Islanding Detection\, and Transfer of ControlAbstract: Increased penetration of renewable energy sources like solar PVs and wind is fundamentally altering the power flow dynamics in distribution networks. These localized forms of generation add redundancy to the power system and increase its load-handling capacity. However\, these advantages come at the cost of reduced stability and altered protection requirements. These distributed forms of generation (DGs) are interfaced with the power grid via power electronic converters operating at high bandwidths compared to conventional sources. While these offer higher performance\, but consequently lower the stability margins. An analytical framework is thus necessary for modeling and stability analysis of such systems. The dynamics involved in modeling a grid-tied DG system span a wide spectrum of frequencies. While simplified modeling can lead to inaccuracies\, an all-inclusive model leads to complex and unintuitive models. This work proposes a systematic approach to model the behavior of 3-phase AC grid-tied DG systems using dynamic phasors. Dynamic phasors allow for a state-space representation of the relevant dynamics.The developed state space model is used for the following:1.      Islanding detectionIslands are formed in 3-phase distribution networks when an active DG is disconnected from the grid. If undetected\, the DG continues to energize its local loads\, leading to safety concerns. In this work\, a state-feedback approach is developed for islanding detection\, which places a system pole in the right half plane (RHP). This ensures the destabilization of the islanded network and a zero non-detection zone. Methods for tuning of the control parameters to meet the system islanding detection requirements are proposed. The scheme is designed and implemented experimentally.2.      Transfer of ControlPost-island detection\, the DG is required to disconnect from the grid while ensuring uninterrupted power flow to its local loads. A control scheme involving a voltage control loop and grid current feed-forward is developed to achieve a fast transfer from grid-following to grid-forming mode of operation. The introduced voltage control loop ensures that rated voltage is maintained across the loads\, and the grid current feed-forward is used to minimize the transients during the transfer process. The method is designed and implemented in conjunction with the islanding detection scheme and verified experimentally with local loads.3.      Stability analysis of grid-tied DG systemsOwing to the formation of microgrids and weak grids in the distribution network\, the stability assessment of such networks becomes essential. This assessment is performed by extending the dynamic phasor-based model for islanded systems to model grid-tied systems as well. The developed model includes the dynamics of the PLL\, grid\, DG current levels\, and load. In addition to passive loads\, considered in the relevant literature\, the proposed model also incorporates the effect of constant power and constant current type power electronic loads. It is demonstrated\, analytically and experimentally\, that the presence of local loads has a stabilizing impact on the synchronization stability of a DG. Additionally\, an upper limit on the bandwidth of power-electronic type constant power loads is derived\, affirming the observation that high bandwidth loads lead to reduced system stability.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/ee-ph-d-colloq-dual-mode-operation-of-grid-tied-inverters-modeling-islanding-detection-and-transfer-of-control/
LOCATION:MMCR\, Hall C 241\, 1st floor\, EE department
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20231211T110000
DTEND;TZID=Asia/Kolkata:20231211T130000
DTSTAMP:20260527T224650
CREATED:20231211T040647Z
LAST-MODIFIED:20231211T040647Z
UID:241170-1702292400-1702299600@ee.iisc.ac.in
SUMMARY:[Talk] TCE Lecture Series on Power Systems
DESCRIPTION:Title:  Control and Management of Electric Grid with Inverter-Based Resources (IBRs)  \nSpeaker: \nProf Sukumar Kamalasadan \nProfessor and Distinguished Scholar \nDepartment of Electrical & Computer Engineering \nThe University of North Carolina at Charlotte \n Abstract: \nIn this talk\, the management and control of the electric grid with renewables is discussed. Functions that include renewable energy resources\, energy storage\, advanced management systems\, and the operational framework is illustrated. Further\, operational methods including newer management and control tools are presented with a special emphasis on supply-side management functions. Finally\, evolving methods and pathways of electric grid management that integrate data sets generated from sensors and meters are discussed with a special emphasis on the overall reliability and resiliency of the electric grid with renewable energy resources. \n \n \nShort Biography: \nSukumar Kamalasadan is a Professor and Distinguished Scholar of electric power engineering at the University of North Carolina at Charlotte (UNCC) and the Director of power energy and intelligent systems lab (PEISL) within the Energy Production and Infrastructure Center (EPIC) at UNCC. He received his Ph.D. degree in electrical engineering from the University of Toledo\, OH in 2004. His research interests include inverter-based resources modeling and integration\, data-driven approaches to power grid modernization\, smart grid\, microgrid\, power system operation and optimization\, and power system dynamics\, stability\, and control. Prof. Kamalasadan’s research for the last 20 years has resulted in tools and methods that have a high-level impact on electric utility modernization with a fleet-wide deployment of his tools that enabled modern grid management and control towards 100% integration of renewable energy. His research work has secured more than $12M in grants and contracts notably from the US Department of Energy\, National Science Foundation (NSF)\, Siemens Energy\, Duke Energy Corporation\, Schweitzer Engineering Lab\, and several other industries. He is the chief architect of Duke Energy Smart Grid Laboratory at UNCC\, a $5M facility. Prof. Kamalasadan has co-authored more than 250 refereed journal and conference articles and has received several awards from IEEE and NSF including the National Science Foundation CAREER award. He has delivered more than 100 talks in the form of tutorials\, keynotes\, panels\, and webinars/workshops at various international IEEE conferences.
URL:https://ee.iisc.ac.in/event/talk-tce-lecture-series-on-power-systems/
LOCATION:MMCR\, Hall C 241\, 1st floor\, EE department
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DTSTART;TZID=Asia/Kolkata:20231221T110000
DTEND;TZID=Asia/Kolkata:20231221T130000
DTSTAMP:20260527T224650
CREATED:20231218T044331Z
LAST-MODIFIED:20231218T044331Z
UID:241280-1703156400-1703163600@ee.iisc.ac.in
SUMMARY:[EE/CPS Seminar] Apurv Shukla - Differentially Private Online Resource Allocation
DESCRIPTION:EE/CPS SeminarSpeaker: Apurv ShuklaPostdoctoral Associate at Texas A&M UniversityTitle: Differentially Private Online Resource AllocationDate: Thursday\, 21 December 2023Time: 11amVenue: EE MMCR (C241)Abstract:We consider an online resource allocation problem when thedecision-maker wishes to preserve the privacy of incoming arrivals andrewards. We present a family of algorithms based on private meanestimation and primal-dual schemes that achieve optimal utilityguarantees. We establish utility and privacy bounds on the behavior ofalgorithms in this family under minimal assumptions on the arrivalprocess. These results are further corroborated by a set of numericalexperiments that demonstrate the tightness of our bounds.Biography of the speaker:Apurv is a Postdoctoral Associate at Texas A&M working with Prof. Le Xieand Prof. PR Kumar. His research interest lies in learning and controlwith applications in power systems. He obtained his PhD from ColumbiaUniversity and his bachelor’s degree from IIT Kharagpur.
URL:https://ee.iisc.ac.in/event/ee-cps-seminar-apurv-shukla-differentially-private-online-resource-allocation/
LOCATION:MMCR\, Hall C 241\, 1st floor\, EE department
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20231222T100000
DTEND;TZID=Asia/Kolkata:20231222T113000
DTSTAMP:20260527T224650
CREATED:20231212T083929Z
LAST-MODIFIED:20231212T083929Z
UID:241198-1703239200-1703244600@ee.iisc.ac.in
SUMMARY: Ph.D. Thesis Defence: Resource-Aware State-Triggered Networked Control Systems
DESCRIPTION: Ph.D. Thesis Defence.Speaker: Anusree RajanSupervisor: Pavankumar TallapragadaDate and Time: Friday\, 22 December 2023\, at 10 amVenue (Hybrid): MMCR (C241)\, EE DepartmentMS Teams LinkTitle: Resource-Aware State-Triggered Networked Control SystemsAbstract:Networked control systems are very popular nowadays\, with different fields of applications such as environmental monitoring\, industrial automation\, military surveillance\, and disaster management. State-triggered control is a commonly used control method in the field of networked control systems owing to its advantage of efficient utilization of resources while simultaneously achieving control objectives. In this control method\, the communication times are opportunistic and implicitly determined by a triggering rule. In addition\, state-triggered control can be designed with provable guarantees for a variety of systems\, including nonlinear systems\, distributed systems\, and multi-agent systems\, and for a variety of control objectives\, such as stabilization\, filtering\, trajectory tracking\, distributed optimization\, multi-agent consensus\, and model predictive control.However\, the question of how to theoretically analyze the resource usage by a state-triggered control system is not well understood even in the simplest settings. Understanding inter-event times generated by a triggering rule is necessary for higher level planning and scheduling for control over shared or constrained resources as well as for the analytical quantification of the usage of communication or other resources compared to a time-triggered controller. This motivates the first part of the thesis\, in which\, we provide a systematic way to analyze the evolution of inter-event times in planar linear systems\, under a general class of scale-invariant event triggering rules. We provide a sufficient condition for the convergence or non-convergence of inter-event times to a steady state value. We also provide a sufficient condition for the asymptotic average inter-event time to be a constant for all non-zero initial states of the system. Then\, under a special case\, we comment on the asymptotic behaviour of the inter-event times\, including on whether the inter-event times converge to a periodic sequence. Later\, we extend our analysis of inter-event times to linear systems under region-based self-triggered control. In this control method\, the state space is partitioned into a finite number of conic regions and each region is associated with a fixed inter-event time. We provide several necessary conditions and sufficient conditions for the local convergence of inter-event times to a constant or to a given periodic sequence.In the second part of this thesis\, we consider a design problem. Most of the existing event- or self-triggered controllers are designed using sampled-data zero-order-hold (ZOH) control input. However\, many communication protocols used in networked control systems\, such as TCP and UDP\, have a minimum packet size. So\, ZOH control may lead to under-utilization of each packet while also increasing the number of communication instances. On the other hand\, use of non-ZOH control leads to better utilization of the minimum payload of each packet while also reducing the overall number of communication instances. With these motivations\, we propose a new control method called event-triggered parametrized control (ETPC). In this control method\, between two consecutive events\, each control input to the plant is a linear combination of a set of linearly independent scalar functions. At each event\, the coefficients of the parameterized control input are chosen to minimize the error in approximating a continuous time control signal and then they are communicated to the actuator. We\, first\, showcase this method by focusing on the specific problem of stabilization of linear systems. We design two event-triggering rules that guarantee global asymptotic stability of the origin of the closed loop system under some conditions on the model uncertainty. Later\, we use a similar idea to propose an event-triggered polynomial control method for trajectory tracking of unicycle robots. We design an event-triggered parametrized controller for trajectory tracking by a unicycle robot and provide guarantees for uniform ultimate boundedness of the tracking error.Due to time limitations\, the defence will focus on the second part of the thesis.——————————- All are Welcome —————————-
URL:https://ee.iisc.ac.in/event/ph-d-thesis-defence-resource-aware-state-triggered-networked-control-systems/
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20231229T080000
DTEND;TZID=Asia/Kolkata:20240116T170000
DTSTAMP:20260527T224650
CREATED:20231229T084231Z
LAST-MODIFIED:20231229T084509Z
UID:241290-1703836800-1705424400@ee.iisc.ac.in
SUMMARY:Courses offered by EE faculty during Jan-April Semester 2024
DESCRIPTION:Courses offered by EE faculty during Jan-April Semester 2024 \nEE Courses_JanTerm2024
URL:https://ee.iisc.ac.in/event/courses-offered-by-ee-faculty-during-jan-april-semester-2024/
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