Mesut Baran / North Carolina State University

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    • Title: Real-Time Monitoring of Distribution Systems: Challenges

    Date: September 10, 2021

    Bio:Mesut E. Baran graduated from Middle East Technical University, Ankara Turkey in 1979 with BS in EE. He received his Ph.D. in EE from the University of California Berkeley in1988. After working with Control Data Incorporation’s Energy Management Systems division for about a year and a half, he joined North Carolina State University in Raleigh in 1991. He is currently a professor at NC State. His research interests include analysis and control of distribution and transmission systems; application of computational methods to power engineering problems. Currently, he is a member of the Freedm Systems Center at NC State focusing on both research and education aspects of renewable electric energy systems and their integration into the electric power distribution systems. Dr. Baran is a Fellow of IEEE.

    Abstract:This seminar will provide an overview of the presenter’s efforts within the last 30 years towards development of analytical tools for real-time monitoring of distribution systems. One of the goals of the review is to highlight some of the challenges associated with development of such tools and their adoption in practice. The review will introduce the early efforts towards the development of the main tool, which is distribution system state estimation (DSSE). Then, the challenges faced towards adoption of DSSE in practice will be reviewed. The adoption of some data analytics for addressing the challenges on load estimation and meter placement will be introduced. In the last part of the presentation, recent efforts by the author towards addressing some of the challenges faced during field implementation of DSSE will be covered.

    Learning Material: Talk Flyer Talk Slides

    Interacting Material:

    1. Papers
      1. Impedance-based stability analysis of a single-phase community microgrid in islanded mode
      2. A novel frequency support control method for PV plants using tracking LQR
      3. A critical evaluation of grid stability and codes, energy storage and smart loads in power systems with wind generation
    2. Data
      1. Cost benefit analysis
      2. Large scale system simulation
      3. Hardware in the loop


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