Study on detecting and identifying and correcting bad and wrong data in power system

Aiming at the distinction of the number, type and correlation, respectively, of bad data, three methods based on land-voltage, node power balance and BP neural network, respectively, were proposed to correct bad data, which are applicable in different situations. The simulation results show that the...

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Bibliographic Details
Main Authors: Shi Zhi-ping, Wu Jun-ji, Wang Hu, Shi Ling-jun, Fan Li-fang
Format: Conference Proceeding
Language:English
Subjects:
Bad data
correction
land-voltage
Load flow
Load forecasting
neural network
Neural networks
node power balance
Power measurement
Power system dynamics
Power system measurements
Power systems
Power transmission lines
State estimation
Voltage
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Description
Summary:Aiming at the distinction of the number, type and correlation, respectively, of bad data, three methods based on land-voltage, node power balance and BP neural network, respectively, were proposed to correct bad data, which are applicable in different situations. The simulation results show that the three methods can correct bad data effectively with a high precision in their own application scope.
ISSN:2156-9681
DOI:10.1109/SUPERGEN.2009.5348342