DocumentCode
2148693
Title
A genetic algorithm for network partitioning in power system state estimation
Author
Orero, S.O. ; Irving, M.R.
Author_Institution
Inst. of Power Syst., Brunel Univ., Uxbridge, UK
Volume
1
fYear
1996
fDate
2-5 Sept. 1996
Firstpage
162
Abstract
This paper outlines a new approach for network partitioning for state estimation in electric power systems. A genetic algorithm is used to partition a modified network tree structure that guarantees the observability of the resulting partitioned sub networks.
Keywords
genetic algorithms; observability; power system control; power system interconnection; power system state estimation; genetic algorithm; modified network tree structure; network partitioning; partitioned subnetworks; power system state estimation;
fLanguage
English
Publisher
iet
Conference_Titel
Control '96, UKACC International Conference on (Conf. Publ. No. 427)
ISSN
0537-9989
Print_ISBN
0-85296-668-7
Type
conf
DOI
10.1049/cp:19960545
Filename
651371
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