ARTIFICIAL NEURAL NETWORK APPROACH: AN APPLICATION TO HARMONIC LOAD FLOW FOR RADIAL SYSTEMS

Autor: Bala Venkatesh, K.S. Suresh, A. Arunagiri, Mustajab Ahmed Khan, R. Ramesh Kumar
Rok vydání: 2010
Předmět:
Zdroj: Yanbu Journal of Engineering and Science. 1
ISSN: 1658-5321
Popis: Radial Distribution Systems (RDS) require special load flow methods to solve power flow equations owing to their high R/X ratio. Increasing use of power electronic devices and effect of magnetic saturation cause harmonics in RDS. This paper reports a multi-layer feed forward ANN with error back propagation learning algorithm for the calculation of bus voltages and power loss for different harmonic components. The proposed method is tested upon a 33-bus RDS and the results are reported for various harmonics. Extensive testing of the proposed ANN based approach indicates its viability for harmonic load flow assessment for radial systems.
Databáze: OpenAIRE