الملخص

This paper presents a Multi-class Support Vector Machine (SVM) based Pattern Recognition (PR) approach for static security assessment in power systems. The multi-class SVM classifier design is based on the calculation of a numeric index called the static security index. The proposed multi-class SVM based pattern recognition approach is tested on IEEE 57 Bus, 118 Bus and 300 Bus benchmark systems. The simulation results of the SVM classifier are compared to a Multilayer Perceptron (MLP) network and the Method of Least Squares (MLS). The SVM classifier was found to give high classification accuracy and a smaller misclassification rate compared to the other classifier techniques.

الكلمات المفتاحية

static security assessmentpower systemsmulti-class support vector machinepattern recognitionsecurity classificationIEEE test systemsmultilayer perceptron comparison

بيانات النشر

المعرّف الرقمي
10.24200/tjer.vol9iss1pp21-30
المجلة
المجلة العُمانية للبحوث الهندسية, 9(1), 21
الناشر
جامعة السلطان قابوس
وصول مفتوح
وصول مفتوح ذهبي
الترخيص
CC BY 4.0

اقتبس هذه المقالة

APA 7

Kalyani, S., & Swarup, K. S. (2012). Classification of Static Security Status Using Multi-Class Support Vector Machines. The Journal of Engineering Research, 9(1), 21. https://doi.org/10.24200/tjer.vol9iss1pp21-30

MLA 9

Kalyani, S, and K. Shanti Swarup. "Classification of Static Security Status Using Multi-Class Support Vector Machines." The Journal of Engineering Research, vol. 9, no. 1, 2012, pp. 21. https://doi.org/10.24200/tjer.vol9iss1pp21-30.

شيكاغو (المؤلف–التاريخ)

Kalyani, S, and K. Shanti Swarup. 2012. "Classification of Static Security Status Using Multi-Class Support Vector Machines." The Journal of Engineering Research 9 (1): 21. https://doi.org/10.24200/tjer.vol9iss1pp21-30.

هارفارد

Kalyani, S. and Swarup, K. S. (2012) 'Classification of Static Security Status Using Multi-Class Support Vector Machines', The Journal of Engineering Research, 9(1), pp. 21. doi:10.24200/tjer.vol9iss1pp21-30.

فانكوفر

Kalyani S, Swarup KS. Classification of Static Security Status Using Multi-Class Support Vector Machines. The Journal of Engineering Research. 2012;9(1):21. doi:10.24200/tjer.vol9iss1pp21-30

IEEE

S. Kalyani, and K. S. Swarup, "Classification of Static Security Status Using Multi-Class Support Vector Machines," The Journal of Engineering Research, vol. 9, no. 1, pp. 21, 2012, doi: 10.24200/tjer.vol9iss1pp21-30.

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