Implementation of Load Flow Analysis using NR method

Authors

  • Anshu Pandey Department of Electrical Engineering, MS University of Baroda, Vadodara, Gujarat, India
  • Siddharth Dahiya Material Research Lab, Sharda University, Greater Noida, India
  • Sageer Mohammad Research and Development department, Tech Trunk Pvt Ltd., Hyderabad, India
  • Vivek Pandey Department of Elcetronics and Communication, MS University of Baroda, Vadodara, Gujarat, India

DOI:

https://doi.org/10.37591/joarb.v2i3.549

Abstract

Load flow studies are one of the most important aspects of power system analysis and design. This paper presents an optimal analysis technique for load flow analysis using Newton Raphson Algorithm for solving set of nonlinear equations. The main objective of load flow analysis is to evaluate the magnitude and phase angle of voltage at each bus as well as real and reactive power flowing in each transmission line. For load flow analysis of a transmission network, there are several methods of mathematical calculations which consists of several steps depending on the number of buses in a transmission network or the size of the transmission network. These mathematical computations can be done by using several mathematical algorithms like lambda iteration and gradient methods to find optimal solution of a set of no linear equations. In this paper we have used the most known and mostly used method, Newton Raphson method to solve set of nonlinear equations. In this project we have developed programming algorithm to implement complex NR mathematical calculations and implemented in MATLAB programming interface.

Keywords: Newton Raphson Method, Real and Reactive power, Power flow

Cite this Article
Anshu Pandey, Siddharth Dahiya, Sageer Mohammad et al. Implementation of Load Flow Analysis using NR Method. Journal of Advancements in Robotics. 2015; 2(3): 8–13p.

References

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Zhiping Yang, Chen Shen, Mariesa L. Crow, et al. An Improved STATCOM Model for Power Flow Analysis, University of Missouri, 2000.

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Published

2015-12-16

Issue

Section

Research Articles