Abstract
This paper shows an application of Artificial Network Technique for the analysis of load flow and determines the power system static states that is, bus voltages magnitudes and voltage angles of a balanced radial distribution system, without executing the power flow algorithm, for any given load. As the performance of the conventional load flow methods such as Fast decoupled load flow, Newton-Raphson load flow is found to be very poor under critical conditions such as high R/X ratio, heavily loading condition etc. The proposed method makes use of a multi-layer feed forward ANN with error back propagation learning algorithm. The effectiveness of the proposed ANN-BPN based approach is tested by sample IEEE 33-bus, indicating its viability for RDS load flow assessment and results are presented.
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