Intelligent techniques for power systems vulnerability assessment

Other Title(s)

التقنيات الذكية لتقييم هشاشة نظم القوى الكهربائية

Author

al-Sharqawi, Muhammad

Source

Sultan Qaboos University Journal for Scientific Research-Science and Technology

Issue

Vol. 2002, Issue 7 (30 Jun. 2002), pp.23-29, 7 p.

Publisher

Sultan Qaboos University College of Science

Publication Date

2002-06-30

Country of Publication

Oman

No. of Pages

7

Main Subjects

Physics
Electronic engineering

Topics

Abstract AR

تولي شركات إنتاج الكهرباء نظم القوى أعلى الأوليات حيث تعتبر القوى الكهربائية من مسائل الأمن القومي و يهتم نظام تقييم الهشاشة بقدرة نظم القوى الكهربائية على توفير الخدمة في حالات الطوارئ.

تعرض هذه الورقة طريقة يتم بها تقييم هشاشة نظم القوى بشكل مباشر من دون أن تقطع الخدمة و ذلك باستخدام التقنيات الذكية.

Abstract EN

With power grids considered national security matters, the reliable operation of the system is of top priority to utilities.

This concern is amplified by the utility’s deregulation, which increases the system’s openness while simultaneously decreasing the applied degree of control.

Vulnerability Assessment (VA) deals with the power system’s ability to continue to provide service in case of an unforeseen catastrophic contingency.

Such contingencies may include unauthorized tripping, breaks in communication links, sabotage or intrusion by external agents, human errors, natural calamities and faults.

These contingencies could lead to a disruption of service to part or all of the system.

The service disruption is known as outage or blackout.

The paper outlines an approach by which feature extraction and boundary tracking can be implemented to achieve on line vulnerability assessment.

American Psychological Association (APA)

al-Sharqawi, Muhammad. 2002. Intelligent techniques for power systems vulnerability assessment. Sultan Qaboos University Journal for Scientific Research-Science and Technology،Vol. 2002, no. 7, pp.23-29.
https://search.emarefa.net/detail/BIM-25849

Modern Language Association (MLA)

al-Sharqawi, Muhammad. Intelligent techniques for power systems vulnerability assessment. Sultan Qaboos University Journal for Scientific Research-Science and Technology No. 7 (2002), pp.23-29.
https://search.emarefa.net/detail/BIM-25849

American Medical Association (AMA)

al-Sharqawi, Muhammad. Intelligent techniques for power systems vulnerability assessment. Sultan Qaboos University Journal for Scientific Research-Science and Technology. 2002. Vol. 2002, no. 7, pp.23-29.
https://search.emarefa.net/detail/BIM-25849

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 28-29

Record ID

BIM-25849