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DTSTART;TZID=Asia/Shanghai:20230112T140000
DTEND;TZID=Asia/Shanghai:20230112T150000
DTSTAMP:20240627T005457Z
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LAST-MODIFIED:20240627T005457Z
UID:35512-1673532000-1673535600@www.eit.edu.au
SUMMARY:Renewable Energy Based Distributed Generation System
DESCRIPTION:The live presentation of this event has already taken place. \nPlease view the PDF slides here or watch the video recording below: \n\n\n  \nWith emerging trends and advances in techniques in power electronics\, Unified Power Quality Conditioner (UPQC) has a superior performance compared to other methods. The webinar discusses the application of an ANN-based UPQC to enhance the power quality of a three-phase Low-voltage network connected to a hybrid distribution generation (DG) system. The proposed work emphasizes the detailed performance analysis of a distributed generation system that integrates a solar PV and wind energy system by utilizing the Unified Power Quality Conditioner (UPQC) with an artificial neural network (ANN) controller with respect to a proportional-integral (PI) controller. The core objective of the proposed ANN is to offer good steady and dynamic state performance compared to the PID controller. \nThe system called UPQC-ANN-RE feeds energy generated by a photovoltaic array and a wind turbine into the electrical grid and loads attached to a system of 3-phase 4-wire electrical distribution. In addition to inserting active/real power in the utility grid\, the system of UPQC-ANN-RE functions as a UPQC\, improving power quality signs e.g.\, voltage and current harmonics and power factor. A detailed analysis of the active-real power flow by converters is carried out to allow a good understanding of the operation of the UPQC-ANN-RE. The simulation outcomes are presented to assess the dynamic and steady-state performance of the system of UPQC-ANN-RE connected to an electrical distribution system and to compare the consequences with the PI controller. s. \nKey takeaways from this webinar: \n\nRenewable Energy sector\nDistributed Generation systems\nPower system Quality\n\nPresenter: Dr. Munira Batool \, EIT Unit Coordinator and Lecturer. \nI am working as an Online Lecturer\, Unit Coordinator\, and Postgraduate Research Supervisor in the Electrical Engineering Department of EIT\, Australia. Graduated with a Ph.D. degree from Curtin University\, Perth Australia in May 2019. \nI have over 14 years of extensive experience of teaching and research in the university sector. I am also currently working as Assistant Professor in the University of Engineering and Technology\, Taxila Pakistan. I am equipped with commendable teaching experiences in Power System Generation\, Power System Transmission\, Power System Distribution and Utilization\, Power System Protection\, and Electric Power System Analysis. My research interests include Distributed Energy Generation based Power systems\, renewable energy sources integration and control\, microgrids\, and smart grid. Initially\, this was applied to improve the performance of Distributed Energy Generation systems using optimization methods. More recently\, my research efforts have involved the optimal sizing and siting of renewable energy sources (like PV and Wind etc.) in distribution networks using novel Power Electronic converters and controllers. I am proud to be a subject matter expertise on modeling and simulating renewable energy-based power system networks using software commonly used in the industry. The results of my research have been published in high-ranked journal and conference papers. \n\nJoin us to learn more at this must-attend event for engineering professionals and aspiring engineers alike. \nReserve your spot at this free webinar today! \n\nThe webinar will be recorded and will be sent out to registered attendees afterwards.\nA certificate of attendance will be provided to attendees who request one near the end of the live webinar session.\n\nPlease note: the time stated on this event is in Australian Western Standard Time (AWST). You will need to convert this to your own time zone.
URL:https://www.eit.edu.au/event/renewable-energy-based-distributed-generation-system/
LOCATION:Online
CATEGORIES:Technical Engineering Topics Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.eit.edu.au/wp-content/uploads/2022/12/EIT_Renewable_Energy_System.jpg
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