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Dr. Robert Broadwater from Virginia Tech will present a seminar on Friday, December 2nd at 12:20 PM to 1:10 PM in MHK Room 404. All CURENT students are encouraged to attend. The lecture will be viewable on WebEx. 

Presenter: Dr. Robert Broadwater, Virginia Tech

Title: In Pursuit of Realistic, Reusable, Collaborative, Electric Grid Models

Time: Friday, December 2nd, 12:20 PM – 1:10 PM EST

Location: Min Kao Building, Room 404

Abstract
Results from a recently sponsored DOE survey on the benefits and challenges of using holistic power system models (i.e.,  Transmission/Substation/Primary Distribution/Secondary Distribution) will be presented.  A number of models that represent realistic power system construction, but which collectively pose challenges to current power flow technology, will be reviewed.  Fundamental concepts of a new approach to system analysis, Graph Trace Analysis (GTA), will be presented.  The application of GTA to holistic power system analysis will be discussed. 

Biography
Robert Broadwater is a professor at Virginia Tech and serves as CTO for EDD.  He designed the Distribution Engineering Workstation for the Electric Power Research Institute.  He developed real-time, power plant simulations for Babcock & Wilcox and the Tennessee Valley Authority.  He holds software patents related to electric power plant controls, and has experience working on nuclear, fossil, and hydro plants.  A reconfiguration for restoration algorithm conceived by him was used to prevent a large power outage in St. Louis. He developed the Discrete Ascent Optimal Programming algorithm for solving large, constrained systems. He has developed an approach to system analysis, based on the Computer Science generic programming paradigm, referred to as Graph Trace Analysis. GTA based power flow algorithms can solve large T&D problems without using matrices.   GTA has been used by his PhD graduate students to solve power flow problems on models containing several million objects, and to solve multi-domain engineering problems.  GTA algorithms naturally distribute to multiple processors. He has published chapters in several engineering handbooks and has directed over 40 PhD students. Software that he has helped develop is used by electric utilities, universities, and national labs in the United States, South America, the Middle East, and Asia.

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Meeting/Access Number: 623 921 177

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