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Paper Details
Paper Title
Enhanced Newton Method Based Radial Distribution System Load Flow Analysis with Extrapolation TechniquesTechniques
Authors
  Dr. Hassan Kuhba
Abstract
This paper presents a modified Newton method of load flow analysis for radial distribution systems. It is derived with the Jacobian matrix is in UDUT form, where U is a constant upper triangular matrix depending solely on system topology and D is a block diagonal matrix. With this formulation, the conventional steps of forming the Jacobian matrix, LU factorization and forward/back substitution are replaced by back/forward sweeps on radial feeders with equivalent impedances. The method has advantages over Newton’s method in terms of speed of solution (no. of iterations), and reliability of convergence by inserting a minimization technique (Linear and/or Geometric Extrapolation Techniques) as well as a cubic interpolation technique can be used. The algorithm exhibits a quadratic convergence as well as a control of the convergence. As such the method converges for cases when conventional Newton’s method and some other popular methods diverge. Two large distribution systems of 490 nodes and 722 nodes with different R/X ratio in line impedance are used to examine the performance of the method. These tests have shown that the proposed method is as robust and efficient as the forward/back sweep method. The proposed method can be extended to the solution of three phase unbalanced representation.
Keywords- Extrapolation Techniques, Load Flow Analysis, Newton's Method, Radial Distribution System, Successive Over Relaxation
Publication Details
Unique Identification Number - IJEDR1602013Page Number(s) - 88-97Pubished in - Volume 4 | Issue 2 | April 2016DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Dr. Hassan Kuhba,   "Enhanced Newton Method Based Radial Distribution System Load Flow Analysis with Extrapolation TechniquesTechniques", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.88-97, April 2016, Available at :http://www.ijedr.org/papers/IJEDR1602013.pdf
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