An integrated method for under frequency load shedding based on hybrid intelligent system-part ii: UFLS design

• Main Authors: Shariati, Omid, Mohd. Zin, Abdullah Asuhaimi, Khairuddin, Azhar, Pesaran, Mahmoud, Aghamohammadi, Mohammadreza
• Format: Article
• Published: 2012
• Subjects: QC Physics
• Online Access: http://eprints.utm.my/id/eprint/46598/; http://dx.doi.org/10.1109/APPEEC.2012.6307692

The first part of this two part paper has proposed a novel strategy for frequency response modelling of modern power system, as it recommended a new application of artificial neural network in assessment of power system dynamic performance. The intelligent methods have shown a high ability in estimation and optimisation problems, as the recent advances in computer systems and intelligent methods have created new opportunities. The current paper proposes an integrated under frequency load shedding system based on genetic algorithm which is able to consider all effective factors at the same time. It also presents a new hybrid artificial neural network-genetic algorithm basis system for under frequency load shedding which is a quick, simple and applied method of UFLS. This assessment includes a review of significant researches on under frequency load shedding design and application.