DocumentCode
1994513
Title
Power system load dynamic characteristics identification based on Elman neural network
Author
Liao, Bin ; Ma, Rui
Author_Institution
Inst. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
4010
Lastpage
4013
Abstract
This paper analyzed and expounded the defects in the BP neural network is used to identify dynamic characteristics of power system load, this article introduces one kind has the function of dynamic feedback in Elman neural network load model, and this model has simple structure, convenient, few parameters, application of dynamic characteristics described and comprehensive load identification, so this article discusses the application of Elman neural network identification the dynamic characteristic of electrical load, and analyses identification process problems should be paid attentioned .The application shows that the identification method is useful and practical.
Keywords
load (electric); neural nets; power engineering computing; power system simulation; BP neural network; Elman neural network; dynamic feedback; power system load dynamic characteristics identification; Analytical models; Heuristic algorithms; Load modeling; Neurons; Power system dynamics; Power system stability; Training; Elman neural network; load dynamic characteristics; power system; system identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6058050
Filename
6058050
Link To Document