ANN based online voltage estimation

作者：Aravindhababu P^*; Balamurugan G

来源：Applied Soft Computing, 2012, 12(1): 313-319.

DOI：10.1016/j.asoc.2011.08.041

• Artificial neural network
• Voltage stability
• Voltage collapse proximity indicator
• VAR support

A new ANN based algorithm that requires only a minimum number of inputs is proposed to estimate the voltage magnitude of each critical bus in a power system under normal and/or contingent states. The basic philosophy is to develop an online tool, with a view to predict the occurrence of voltage collapse due to either an outage and/or projected changes in load. Besides the scheme contemplates to aid in the process of computing the approximate VAR support/sheddable load that is required to prevent voltage instability, which is imminent on account of the stressed operating nature of the present day power networks. The performance is evaluated through standard IEEE 14, 30 and 57 bus test systems and the simulation results are presented to demonstrate its validity and suitability for practical applications.

• 出版日期2012-1