Power Flow Calculations by Deterministic Methods and Artificial Intelligence Method

Abstract

In this paper, we will present different methods for Power Flow Calculations. First, we will describe the deterministic methods; which are Gauss-Seidel (GS) and Newton-Raphson (NR) methods, in addition to that, we will use also a Newton based method Fast Decoupled Load Flow (FDLF). Second, we have the Artificial intelligence method Neural Network (NN). Matlab programs were developed for solving Power Flow problem using GS and NR methods and regarding the ANN, we established and trained artificial neural networks models for computing voltage magnitudes and voltage phase angles. We used these methods to solve the Power Flow problem of the Institute of Electrical and Electronics Engineers (IEEE) 14 bus system. The results that we obtained were presented in graphs at the end of the paper.

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  • EP ID EP505849
  • DOI 10.22161/ijaers.5.6.25
  • Views 35
  • Downloads 0

How To Cite

(2018). Power Flow Calculations by Deterministic Methods and Artificial Intelligence Method. International Journal of Advanced Engineering Research and Science, 5(6), -. https://europub.co.uk./articles/-A-505849