ONLINE TRANSIENT STABILITY ASSESSMENT AND ENHANCEMENT BY PATTERN-RECOGNITION TECHNIQUES

• Type: Article in International Scientific Journal
• Date: 1988

Authors

João Peças Lopes (Author) FEUP; Fernando Maciel Barbosa (Author) FEUP; DESA, JPM (Author) Other

Journal

Title: Electric Machines and Power Systems

Vol. 15 No. 5

Pages: 293-310

ISSN: 0731-356X

Publisher: Taylor & Francis

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 9 Citations

Scientific classification

CORDIS: Technological sciences

Other information

Authenticus ID: P-001-TMS

DOI: 10.1080/07313568808909340

Abstract (EN): This paper presents a new candidate method for on-line transient security assessment and enhancement based on pattern recognition techniques. Transient state variables are used as primary features and the classifier is obtained in two phases, through the combination of an optimum discriminant transformation together with a probabilistic procedure. The proposed security functions can be further refined by means of a second level classifier based on an optimal discrimination plane and using a weighted K nearest neighbor rule. It is shown that this method provides also an efficient and simple tool for on-line preventive control. Results obtained for several contingencies in the CIGRE test system are discussed.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 18