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Full-Text Articles in Power and Energy

Causes Of The Blackout: The Grid Operation And Environment, Almoataz Youssef Abdelaziz Nov 2011

Causes Of The Blackout: The Grid Operation And Environment, Almoataz Youssef Abdelaziz

Almoataz Youssef Abdelaziz

Despite huge advancements in different power system components, operations, and protection technologies, todayÕs power systems are more vulnerable to blackouts than ever before. Deregulation, market competition, and increasing demands, in addition to less investment in transmission assets, all contribute to the critical state power systems operate at. Two main characteristics of the power system are always being put under the scope of study, reliability and security. This paper takes a subjective thorough look at the previous numerous blackout events, surveyed by the authors, that have been encountered by different power systems around the globe and classifies them into different types …


Wide Aea Protection (Wap) Systems: Benefits, Schemes, And Examples, Almoataz Youssef Abdelaziz Oct 2011

Wide Aea Protection (Wap) Systems: Benefits, Schemes, And Examples, Almoataz Youssef Abdelaziz

Almoataz Youssef Abdelaziz

No abstract provided.


Fault Classification Of Series-Compensated Transmission Lines Using Support Vector Machine, Almoataz Youssef Abdelaziz Jul 2011

Fault Classification Of Series-Compensated Transmission Lines Using Support Vector Machine, Almoataz Youssef Abdelaziz

Almoataz Youssef Abdelaziz

Recently, series compensation is widely used in transmission. However, this creates several problems to conventional protection approaches. This paper presents overcurrent protection and fault classification approach for series compensated transmission line using support vector machine (SVM). Postfault three lines current samples for half cycle are used as inputs to SVMs. The time taken for fault classification is 10 ms after the fault inception. Four SVMs are used; three SVMs (SVMa, SVMb and SVMc) are used for faulty phase detection and last SVM (SVMg) is used for ground detection. The polynomial kernel SVM is designed to provide the optimal classification conditions. …