Voltage stability assessment using a new FSQV method and artificial neural networks

• Type: Article in International Conference Proceedings Book
• Date: 2006

Authors

Andrade, AC (Author) Other; Fernando Maciel Barbosa (Author) FEUP; José Nuno Fidalgo (Author) FEUP; José Rui da Rocha Pinto Ferreira (Author) FEUP

Conference proceedings International

Title: Circuits and Systems for Signal Processing , Information and Communication Technologies, and Power Sources and Systems, Vol 1 and 2, Proceedings

Pages: 1003-1006

13th IEEE Mediterranean Electrotechnical Conference (MELECON 2006)

Benalmadena, SPAIN, MAY 16-19, 2006

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-004-PB5

Abstract (EN): Voltage stability has been of the major concern in power system operation. To prevent these problems, technical staff evaluates frequently the distance of the operation state to the voltage collapse point. This distance normally is calculated with power flow equations. This classic technique is very slow for electric power systems with large dimension. In abnormal exploration situations it may introduce serious limitation in the voltage stability analysis process. So, the application of a fast and reliable evaluation technique is very important to diminish the evaluation time. This paper presents a study of the application of artificial neural network (ANN) to the evaluation of this distance to the voltage collapse point. To detection the point of collapse the new method FSQV was used.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4