Open AccessOnline synchronous generator out‐of‐step prediction by electrical power curve fitting
Author(s) -
Sobbouhi Ali Reza,
Vahedi Abolfazl
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5938
Subject(s) - transient (computer programming) , electric power system , fault (geology) , rotor (electric) , generator (circuit theory) , matlab , computer science , time domain , permanent magnet synchronous generator , control theory (sociology) , power (physics) , curve fitting , stability (learning theory) , algorithm , voltage , engineering , electrical engineering , physics , control (management) , quantum mechanics , artificial intelligence , machine learning , seismology , computer vision , geology , operating system
In this study, by using generator electrical output power and rotor speed, a new algorithm for out‐of‐step prediction is proposed. In this online method, after fault clearance, the trend of generator output power will be predicted using sinusoidal variable frequency function curve fitting. Finally, time‐domain equal area criterion (TDEAC) is used to evaluate the transient stability. The mathematical proofing of TDEAC and its validity in large‐scale systems are presented too. Real‐time prediction, fast calculation, using only local parameters and estimation of the remaining time until instability are some of the proposed method's advantages. The performance of this algorithm is examined on IEEE 39‐bus New England and Iran electrical power network systems. The results show that the proposed method represents a valuable alternative for out‐of‐step protection possessing fast and high‐efficiency performance. The simulations are carried out using the Power Factory ® software and the proposed algorithm has been developed in MATLAB.