Week of Events
IEEE PES Web-Based Tutorial: AI-driven Decarbonization for Power Systems, Pt 1/4
IEEE PES Web-Based Tutorial: AI-driven Decarbonization for Power Systems, Pt 1/4
Presented by: Dawei Qiu, Lecturer, University of Exeter, Shengrong Bu, Associate Professor, Brock University, Canada, Zhu Han, Professor, University of Houston This multiple session web-based tutorial: Will provide a comprehensive overview of strategies for power system decarbonization, focusing on three key approaches: electric vehicles, microgrids, and peer-to-peer energy trading. It will explore the associated challenges and demonstrate how advanced techniques, including deep reinforcement learning and big data analytics, can be leveraged to address these challenges effectively. Session one will discuss: Decarbonisation approach for power systems a. Power systems and decentralized flexibility b. Decarbonization framework c. Market design for low-carbon transitions Presenters Homepage/ Bio: Dawei Qiu: https://experts.exeter.ac.uk/43059-dawei-qiu Zhu Han: http://www2.egr.uh.edu/~zhan2/ Shengrong Bu: https://brocku.ca/mathematics-science/engineering/faculty-staff/shengrong-bu/#bio After the Webinar The recording, slides and education credit will be available in the PES Resource Center, https://resourcecenter.ieee-pes.org/education/webinars within 3-5 business days following the session.
Fast Broken Conductor Detection for Wildfire Prevention
Fast Broken Conductor Detection for Wildfire Prevention
A large percentage of all power line caused wildfire ignitions involve broken conductors. One idea to quickly detect broken conductors & de-energize the falling conductor before hitting the ground will be presented. The basic principle is based on the concept of connection impedance between two points in the power system. Open to all. Region 6-Western US San Francisco Virtual only