Comprehensive approach for prediction and assessment of power system transient stability in real-time

2013 ◽  
Author(s):  
Diego E. Echeverria ◽  
Jose L. Rueda ◽  
Jaime C. Cepeda ◽  
Delia G. Colome ◽  
Istvan Erlich
Keyword(s):  
Power System ◽  
Real Time ◽  
Transient Stability ◽  
Comprehensive Approach

Application of Bayesian Learning Mechanism in Power System Transient Stability Assessment

2010 ◽  
Vol 108-111 ◽  
pp. 765-770
Author(s):  
Lin Niu ◽  
Jian Guo Zhao ◽  
Ke Jun Li ◽  
Zhen Yu Zhou
Keyword(s):  
Machine Learning ◽  
Power System ◽  
Real Time ◽  
Bayesian Learning ◽  
Transient Stability ◽  
Decision Function ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Svm Classifier ◽  
Stability Assessment

One of the most challenging problems in real-time operation of power system is the prediction of transient stability. Fast and accurate techniques are imperative to achieve on-line transient stability assessment (TSA). This problem has been approached by various machine learning algorithms, however they find a class decision estimate rather than a probabilistic confidence of the class distribution. To counter the shortcoming of common machine learning methods, a novel machine learning technique, i.e. ‘relevance vector machine’ (RVM), for TSA is presented in this paper. RVM is based on a probabilistic Bayesian learning framework, and as a feature it can yield a decision function that depends on only a very fewer number of so-called relevance vectors. The proposed method is tested on New England power system, and compared with a state-of-the-art ‘support vector machine’ (SVM) classifier. The classification performance is evaluated using false discriminate rate (FDR). It is demonstrated that the RVM classifier can yield a decision function that is much sparser than the SVM classifier while providing higher classification accuracy. Consequently, the RVM classifier greatly reduces the computational complexity, making it more suitable for real-time implementation.

scholarly journals Real-time transient stability assessment in power system based on improved SVM

2018 ◽  
Vol 7 (1) ◽  
pp. 26-37 ◽  
Author(s):  
Wei HU ◽  
Zongxiang LU ◽  
Shuang WU ◽  
Weiling ZHANG ◽  
Yu DONG ◽  
...  
Keyword(s):  
Power System ◽  
Real Time ◽  
Transient Stability ◽  
Stability Assessment

An Instructional Power Systems Laboratory

1997 ◽  
Vol 34 (1) ◽  
pp. 5-15
Author(s):  
Jan Heydeman
Keyword(s):  
Steady State ◽  
Power Systems ◽  
Power System ◽  
Real Time ◽  
Transient Stability ◽  
Dynamic Loads ◽  
Research And Teaching ◽  
University Of Technology ◽  
Power Frequency

A real time analog power system simulator for research and teaching has been developed at Delft University of Technology. The simulator consists of 1 swing bus, 7 generators, 2 tap changing transformers, 9 dynamic loads, 12 lines and 12 busbars. Experiments on control of voltage and power-frequency and on steady-state and transient stability are shown.

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