Year: 2016
Type: article
Abstract: Changes in the modern Grid: • Penetration of Renewables • Storage devices • Loads becomes active (not controlled) Challenges • Strong fluctuations/uncertainty • Needs real-time observability, control • Millions of devices, many entities Data Analytics can improve resiliency in the Dynamic Grid New (available) Solutions • Hardware: Smart meters, PMUs, micro-PMUs • Software/New algorithms: Machine Learning, IoT Vision: Design Algorithms for smart meter data to learn and control (state of the grid) Features: • Build upon Physics of Power flow & the network/graph features.• Scalable and computationally tractable • Address desired (spatio-temporal) sparsity
Language: English
Topic: Smart Grid and Power Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2469366108