Title :
Identifying critical measurements & sets for power system state estimation
Author :
Filho, Milton Brown Do Coutto ; De Souza, Julio Cesar Stacchini ; De Oliveira, Flavia Menezes Fernandes ; Schilling, Marcus Th
Author_Institution :
Inst. of Comput., Fluminense Fed. Univ., Rio de Janeiro, Brazil
Abstract :
Data redundancy is an important prerequisite for state estimation. During system operation, critical redundancy levels can be reached, creating adverse conditions for the state estimation process, especially regarding data validation. In this paper a numerical algorithm for the identification of critical measurements and sets is proposed. Results covering its application to typical power system networks are presented and discussed
Keywords :
monitoring; observability; power system measurement; power system state estimation; redundancy; simulated annealing; critical measurements identification; critical redundancy levels; critical sets identification; data redundancy; data validation; numerical algorithm; observability; power system monitoring; power system networks; power system state estimation; Data acquisition; Loss measurement; Medical services; Observability; Power measurement; Power system analysis computing; Power system measurements; Power system reliability; Redundancy; State estimation;
Conference_Titel :
Power Tech Proceedings, 2001 IEEE Porto
Conference_Location :
Porto
Print_ISBN :
0-7803-7139-9
DOI :
10.1109/PTC.2001.964911
