This paper presents method of feature subset selection in dynamic stability assessment (DSA) power system using artificial neural networks (ANN). In the application of ANN on DSA power system, feature subset selection aims to reduce the number of training features, cost and memory computer. | TAÏP CHÍ PHAÙT TRIEÅN KH&CN, TAÄP 18, SOÁ K3- 2015 Feature subset selection in dynamic stability assessment power system using artificial neural networks Nguyen Ngoc Au 1 Quyen Huy Anh 1 Phan Thi Thanh Binh 2 1 2 Ho Chi Minh city University of Technical and Education Ho Chi Minh city University of Technology, VNU-HCM (Manuscript Received on October 30nd, 2014, Manuscript Revised July 08nd, 2015) ABSTRACT This paper presents method of feature subset selection in dynamic stability assessment (DSA) power system using artificial neural networks (ANN). In the application of ANN on DSA power system, feature subset selection aims to reduce the number of training features, cost and memory computer. However, the major challenge is to reduce the number of features but classification rate gets a high Sequential Backward Selection (SBS), Sequential Forward Floating Selection (SFFS) and Feature Ranking (FR) algorithm to feature subset selection. The effectiveness of the algorithms was tested on the GSO-37bus power system. With the same number of features, the calculation results show that SFS algorithm yielded higher classification rate than FR, SBS algorithm. SFS algorithm yielded the same accuracy. This paper proposes applying classification rate as SFFS algorithm. Sequential Forward Selection (SFS), Key words: feature subset selection, dynamic stability assessment, artificial neural networks, and power system. 1. INTRODUCTION Modern power systems are forced to operate under highly stressed operating conditions closer to their stability limits. The operation of power systems is challenged increasingly significant because investment sources and transmission systems are not developed to meet the load demand. While operating the power system is always faced with unusual circumstances such as a generator outage, loss of a line, sudden dropping of a large load, switching of station or substation, and Trang 15 SCIENCE & TECHNOLOGY DEVELOPMENT, , - .
