Event Sponsorship & Exhibitor Opportunities 
Impact of lightning and short circuits on polarization and coherent 100 Gb/s links in aerial fiber cables with metallic components (OPGW)
As optical communication systems evolve beyond 50 Gb/s and adopt coherent modulation techniques such as DP-QPSK and 64-QAM, lightning-induced currents in OPGW can cause rapid and significant changes in fiber birefringence and the state of polarization (SOP), potentially exceeding receiver compensation capabilities, increasing bit error rates, degrading system performance, and necessitating advanced polarization monitoring and control mechanisms to maintain network reliability and resilience.
Inverter-Based Resources Standards in Electric Power Grids
The evolving IEEE 2800.x standards suite is establishing comprehensive technical, testing, and performance requirements to support the reliable interconnection, compliance, and future grid-forming capabilities of inverter-based resources across North American bulk power systems.
IBR Interconnection and Grid Planning
As inverter-based resources expand, grid planning must adapt to reduced inertia and complex dynamics by improving interconnection processes, coordinating transmission and controls, and adopting advanced modeling and control strategies to maintain stability and reliability in increasingly IBR-dominated power systems.
C57.156 on IEEE Guide for Tank Rupture Mitigation of Liquid
This guide outlines strategies to mitigate tank rupture and insulating liquid release in energized liquid-immersed power transformers and reactors caused by internal faults. It also summarizes key factors—such as arc energy, hydraulic pressure, and tank strength—and identifies design and monitoring approaches to reduce risk.
Synchronized Point on Wave Measurement
Point-on-wave measurement (POW) captures high-speed, time-synchronized power system waveforms to accurately record transients and, with modern low-cost computing and communications enabling continuous recording, supports new analytical methods for monitoring grid and equipment health.
Learning Hybrid Optimization for Large Scale Complex Problems
Hybrid optimization methods that combine physics-based algorithms with data-driven learning provide scalable, robust solutions to complex, uncertain, and renewable-rich electric power system problems.