Abstract
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.
Recommended Citation
Arunagiri, A.; K, Suresh; Venkatesh, B.; Ramesh Kumar, R.; and Ahmed Khan, Mustajab
(2010),
ARTIFICIAL NEURAL NETWORK APPROACH: AN APPLICATION TO HARMONIC LOAD FLOW FOR RADIAL SYSTEMS,
Yanbu Journal of Engineering and Science: Vol. 1:
Iss.
1, 1-11.
DOI: https://doi.org/10.53370/001c.23734
Available at:
https://yjes.researchcommons.org/yjes/vol1/iss1/1
