DocumentCode
2606521
Title
A study on power system state estimation under extremely bad conditions
Author
Mao, Anjia
Author_Institution
Dept. of Electr. Eng., North China Electr. Power Univ., Beijing, China
fYear
2009
fDate
6-7 April 2009
Firstpage
1
Lastpage
6
Abstract
During the operation of modern power system, the unanticipated occurrence of large disturbances, communication errors, exceptions in SCADA system and lacking of maintenances etc will affect the normal operation of state estimation, which plays a significant role in keeping the security of power system. Therefore, to seek a state estimation algorithm that can keep fairly good momentum and can obtain a relative accurate result under these extreme conditions is meaningful both in theory and in practice. On the basis of analyzing the extremely bad conditions and the unfavorable impactions they brought during the system operations, this paper proposes a state estimation method which consists of heuristic double topology modeling method and WLS state estimation on the combination system. In the method, the accuracy of the structure model and the measurements, which are the determining factor of the state estimation result, can be ensured by the heuristic double modeling method, therefore, the state estimation in this paper can still obtain a relative accurate result even in extremely bad conditions. The testing scenario proves the validity and availability of the method in this paper.
Keywords
SCADA systems; power system state estimation; SCADA system; WLS state estimation; heuristic double topology modeling method; power system state estimation; Medical services; Observability; Power measurement; Power system analysis computing; Power system measurements; Power system reliability; Power system security; Power system stability; Power systems; State estimation; Bad Area Identification and Equivalent; Extended Topology Analysis; Extremely Bad Conditions; Power System State Estimation; SCADA System;
fLanguage
English
Publisher
ieee
Conference_Titel
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4934-7
Type
conf
DOI
10.1109/SUPERGEN.2009.5348379
Filename
5348379
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