DocumentCode
572360
Title
An Integrated Method for under Frequency Load Shedding Based on Hybrid Intelligent System-Part II: UFLS Design
Author
Shariati, Omid ; Zin, A.A.M. ; Khairuddin, Azhar ; Pesaran, M. Hashem ; Aghamohammadi, M.R.
Author_Institution
Dept. of Elec. Power Eng., IAU-Birjand Branch, Birjand, Iran
fYear
2012
fDate
27-29 March 2012
Firstpage
1
Lastpage
9
Abstract
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.
Keywords
frequency response; genetic algorithms; load shedding; neural nets; power system simulation; UFLS design; computer systems; hybrid artificial neural network-genetic algorithm; hybrid intelligent system; optimisation problems; power system dynamic performance assessment; power system frequency response modelling; under frequency load shedding system design; Frequency control; Power system dynamics; Power system stability; Stability analysis; Time frequency analysis; Voltage measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location
Shanghai
ISSN
2157-4839
Print_ISBN
978-1-4577-0545-8
Type
conf
DOI
10.1109/APPEEC.2012.6307692
Filename
6307692
Link To Document