Non‐parametric statistics‐based predictor enabling online transient stability assessment
Author:
Affiliation:
1. College of Electrical Engineering and Information TechnologySichuan UniversityChengduPeople's Republic of China
2. Department of Electrical and Computer EngineeringMichigan State UniversityEast LansingMichiganUSA
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.5802
Reference30 articles.
1. Definition and classification of power system stability;Kundur P.;IEEE Trans. Power Syst.,2004
2. Energy function for power system with detailed DC model: construction and analysis;Jiang N.;IEEE Trans. Power Syst.,2013
3. Structure-Preserved Power System Transient Stability Using Stochastic Energy Functions
4. Real‐time prediction and control of transient stability using transient energy function;Bhui P.;IEEE Trans. Power Syst.,2017
5. Online Detection of Loss of Synchronism Using Energy Function Criterion
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