Study on detecting and identifying and correcting bad and wrong data in power system
Shi Zhi-ping, WU Jun-ji, Wang Hu, Shi Ling-jun, Lifang Fan · 2009
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.