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
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;
Conference_Titel :
Control '96, UKACC International Conference on (Conf. Publ. No. 427)
Print_ISBN :
0-85296-668-7
DOI :
10.1049/cp:19960545
