Intelligent System for Radial Distribution Load Flow

Research Area: Volume 1 Issue 5, Sept. 2012 Year: 2012
Type of Publication: Article Keywords: Ladder Iterative Technique, RX ratio, Artificial Neural Networks ANNs, Backpropagation Network BPN, Radial Distribution System RDS, Forward-Backward Sweep
Authors:
  • Vaishali Holkar
  • Dr. Deepika Masand
Journal: IJEIR Volume: 1
Number: 5 Pages: 419-424
Month: Sept.
ISSN: 2277-5668
Abstract:
This paper shows an application of Artificial Neural Networks (ANNs) to determine the bus voltages and phase angles of a radial distribution system, without executing the complicated load flow algorithm, for any given load. The performance of the conventional load flow methods such as Newtoh-Raphson load flow, Fast decoupled load flow is found to be very poor under critical conditions such as high R/X ratio, heavily loading condition etc.To overcome the limitations of these regularly used methods a simple and reliable ladder iterative technique is used for solving the power balance equations of radial distribution system (RDS). The proposed method make use of a multi-layer feed forward ANN with error back propagation learning algorithm for calculation of bus voltages and its angles. A sample IEEE 33-bus is extensively tested with the proposed ANN based approach indicating its viability for RDS load flow assessment and results are presented.

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