A Review on Artificial Intelligence for Grid Stability Assessment
- ORNL
- University of Tennessee, Knoxville (UTK)
- University of Tennessee (UT)
- National Renewable Energy Laboratory (NREL)
Artificial intelligence provides a convenient route for power grid stability assessment. Compared with simulation-based approaches, artificial intelligence can potentially save time on model development and numerical computation in stability assessment. This paper first reviewed existing literature on using artificial intelligence for power grid stability assessment. Then a machine-leaning-based tool is presented and developed to assess power grid transient stability, frequency stability, and small signals stability. Test results verified the accuracy and effectiveness of the AI tool for power grid stability assessment.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1771880
- Resource Relation:
- Conference: 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) - Tempe, Arizona, United States of America - 11/11/2020 5:00:00 AM-1/13/2021 5:00:00 AM
- Country of Publication:
- United States
- Language:
- English
Similar Records
A Review on Artificial Intelligence (AI) for Stability Assessment: Preprint
High-Resolution Fiber-Optic Sensing System for 4D Mapping, Detection, and Characterization, and Integrity Assessment of Legacy Wellbores for Carbon Storage
Status Report on Regulatory Criteria Applicable to the Use of Artificial Intelligence (AI) and Machine Learning (ML)
Conference
·
Wed Nov 18 00:00:00 EST 2020
·
OSTI ID:1771880
+10 more
High-Resolution Fiber-Optic Sensing System for 4D Mapping, Detection, and Characterization, and Integrity Assessment of Legacy Wellbores for Carbon Storage
Technical Report
·
Fri Jun 02 00:00:00 EDT 2023
·
OSTI ID:1771880
Status Report on Regulatory Criteria Applicable to the Use of Artificial Intelligence (AI) and Machine Learning (ML)
Technical Report
·
Fri Sep 01 00:00:00 EDT 2023
·
OSTI ID:1771880
+2 more