کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
381533 | 1437489 | 2009 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: On-line voltage security assessment of power systems using core vector machines On-line voltage security assessment of power systems using core vector machines](/preview/png/381533.png)
This paper presents a core vector machine (CVM)-based algorithm for on-line voltage security assessment of power systems. To classify the system security status, a CVM has been trained for each contingency. The proposed CVM-based security assessment has very small training time and space in comparison with support vector machines (SVM) and artificial neural networks (ANNs)-based algorithms. The proposed algorithm produces less support vectors (SV) and therefore is faster than existing algorithms. In this paper, a new decision tree (DT)-based feature selection technique has been presented, too. The proposed CVM algorithm has been applied to New England 39-bus power system. The simulation results show the effectiveness and the stability of the proposed method for on-line voltage security assessment procedure of large-scale power system.
Journal: Engineering Applications of Artificial Intelligence - Volume 22, Issues 4–5, June 2009, Pages 695–701