Ali Abur / Northeastern University

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  • abur@ece.neu.edu

  • Title: Tracking Faults and Network Model Changes Using Phasor Measurements


    Date: March 29, 2021


    Bio: Ali Abur received his B.S. degree at Orta Doğu Teknik Üniversitesi, Ankara, Turkey and M.S. and Ph.D. degrees from The Ohio State University. He joined the Department of Electrical Engineering at Texas A&M University where he worked as a Professor between 1985 and 2005. In 2005, he moved to the Department of Electrical and Computer Engineering at Northeastern University in Boston where he served as the department chair until 2013. He is currently a professor in the same department. He is a Fellow of the IEEE.



    Abstract: Phasor measurement units (PMU) are rapidly populating substations and providing valuable data and measurements. These are streamed at much faster rates and in a synchronized manner compared to the existing supervisory control and data acquisition (SCADA) measurements. In this tutorial, we will discuss potential network applications which can benefit from availability of such measurements. We will first describe a fault location procedure which relies on voltage measurements provided by a limited number of PMUs to detect and locate faults on any of the transmission lines in a large power grid. This approach also takes advantage of the “Dantzig selector” estimator to formulate and solve this problem. The same approach will then be used to solve the problem of detecting unreported topology changes in external networks. This problem is particularly important for real-time contingency analysis of interconnected power grids when ICCP links fail and real time data are temporarily or permanently not available from neighboring systems. Finally, we will present a tracking estimator for non-transposed three phase transmission line model parameters based on PMU measurements which will enhance the performance of control and protection functions relying on accurate line models.


    Learning Materials: Talk Flyer Talk Slides


    Interacting Materials:

    1. Papers
      1. Fault Location in Active Distribution Networks Containing Distributed Energy Resources (DERs)
      2. Improvement of fault location method based on sparse PMU measurements
      3. Fault Location Using Wide-Area Measurements and Sparse Estimation
      4. Sparse estimation based external system line outage detection
      5. Robust fault location for two and three terminal lines using synchronized phasor measurements
      6. Identification of faults using sparse optimization
      7. Robust Fault Location Using Least-Absolute-Value Estimator
      8. Optimal Deployment of Wide-Area Synchronized Measurements for Fault-Location Observability
      9. Traveling-Wave-Based Fault-Location Technique for Transmission Grids Via Wide-Area Synchronized Voltage Measurements
      10. Tracking changes in the external network model
      11. Travelling wave based fault location for teed circuits
      12. Fault location using wavelets
    2. Videos
      1. Reputation-based Fair Power Allocation to Plug-in Electric Vehicles in the Smart Grid
      2. Advanced Phasor Measurement Units for the Real-Time Monitoring
      3. Grid Fault Location Detection Using System Simulation and Machine Learning
    3. Data



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