Tutorial Descriptions, Schedule, Pricing, & Instructors
TUTORIALS WILL BE PRESENTED ONLINE
Mathematical Optimization in Active Power Distribution Systems
Dates & Sessions:
- Session 1: Fundamentals Registration
February 24, 2021 1-3 PM EST - Session 2: Applications Registration
February 26, 2021 1-3 PM EST
Price: PES Member $50, IEEE Member $74. Non-member $99 (per session)
Lead Instructor: Dr. Anamika Dubey, Washington State University
Instructors: Anamika Dubey, Washington State University, Sumit Paudyal, Florida International University, Sukumar Kamalasadan, The University of North Carolina at Charlotte
The proliferation of distributed energy resources and the deployment of advanced sensing and control technologies in electric power distribution systems calls for coordinated management of the grid’s resources. This has led to a growing interest in academia and industry alike on optimization methods for the large-scale unbalanced power distribution systems for improved operational efficiency and resilience. The current fast-paced research in this domain is driven by the challenging mathematical problem of three-phase optimal power flow (OPF).
The goal of this tutorial is to introduce the state-of-the-art optimization methods applied to unbalanced power distribution systems and their use cases for the distribution systems applications. We will start with a discussion on the different models for formulating the distribution OPF problem and discuss their trade-offs. Next, we will describe the approach to formulate two distribution-level applications, Conservation Voltage Reduction (CVR) and DG-assisted feeder restoration, as an optimization problem. The application cases will include a hand-on tutorial on modeling the optimization problem using OpenDSS, Matlab/Python, Julia for the IEEE test systems.
After the Tutorial:
- Educational Credits will be available on the registration web page in the IEEE PES Resource Center for purchase within seven (7) business days.
- All tutorial recordings and corresponding slides will be available for download on the IEEE PES Resource Center within seven (7) business days.
- NOTE:The slides will be made available before the live event
For any questions, please contact LaToya Gourdine at l.gourdine@ieee.org
NI4AI Workshop on PMU and Time Series Data Analysis at Scale
Dates & Sessions:
- Session 1: Introduction to PMU data and applications
February 23, 2021 1-3 PM EST - Session 2: Artificial Intelligence and the Grid
February 25, 2021 1-3 PM EST
Price: PES Member $50, IEEE Member $74. Non-member $99 (per session)
Lead Instructor: Laurel Dunn, UC Berkeley
Instructors: Alexandra von Meier, UC Berkeley, Kevin Jones, Dominion Energy, Sean Murphy, PingThings, Chris Ryan, PingThings, Laurel Dunn, UC Berkeley, Mohini Bariya, UC Berkeley, Miles Rusch, UC Berkeley
This tutorial is designed to train researchers and practitioners to begin analyzing synchrophasor (i.e., PMU) and point on wave data. The course covers concepts from power engineering and data science, and will show attendees how to develop efficient workflows for analyzing and visualizing time series data at scale. The first day of the course will cover foundational concepts from power systems engineering, and will relate PMU data to physical properties of the grid. The session will discuss phasor calculation, and methods for using phasor data to compute frequency. We will close with a summary of best practices and lessons learned from using PMU data in industry. The second day will teach attendees how to develop fast and efficient AI/ML workflows. Panelists will step through code they’ve developed to analyze time series grid data for applications in data science and engineering. The tutorial will demonstrate workflows using PredictiveGridTM, a high performance data analytics platform available for anyone to use through the National Infrastructure for AI on the Grid (NI4AI). The course will include a high-level discussion about the opportunities and outlook for AI on the grid, and will connect attendees with resources for continued learning. The course is organized through NI4AI (ni4ai.org), an online community that offers open access grid data, educational content, and a state-of-the-art data analytics platform designed to eliminate barriers to working with time series data at scale.
After the Tutorial:
- Educational Credits will be available on the registration web page in the IEEE PES Resource Center for purchase within seven (7) business days.
- All tutorial recordings and corresponding slides will be available for download on the IEEE PES Resource Center within seven (7) business days.
- NOTE:The slides will be made available before the live event
For any questions, please contact LaToya Gourdine at l.gourdine@ieee.org