Work

Contingency detection in modern power systems: A stochastic hybrid system method

Year: 2024

Type: article

Source: Sustainable Energy Grids and Networks

DOI: 10.1016/j.segan.2024.101414

Authors: Shuo Yuan, Le Yi Wang, George Yin, Masoud H. Nazari

Institutions: Wayne State University, University of Connecticut

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: bronze

Funder: National Science Foundation

Awards: Collaborative Research: AMPS Stochastic Algorithms for Early Detection and Risk Prediction of Hidden Contingencies in Modern Power Systems, Collaborative Research: AMPS Stochastic Algorithms for Early Detection and Risk Prediction of Hidden Contingencies in Modern Power Systems

OpenAlex ID: W4391556574

FWCI: 1.026

Cites: 18

Cited by: 10

Related to: 10