Simulation and Analysis of conventional based Power System State Estimation using MATLAB

Authors

  • Parvej M. Ansari Assistant Professor, Electrical Engg. S. P. C. E., Ta-Visnagar, Dist-Mehsana, Gujarat, India
  • Priyank R Bhavsa Assistant Professor, Electrical Engg. S. P. C. E., Ta-Visnagar, Dist-Mehsana, Gujarat, India
  • Ramkrushna C. Nayak P.G. Student, Electrical Engg. Department, S. P. C. E. Visnagar, Dist-Mehsana, India

Keywords:

State Estimation, Weighted Least Square (WLS), Normal Equation Method, Singular Value Decomposition (SVD),MATLAB software

Abstract

As the power system grows larger and more complex, real time monitoring and control becomes vital in order to
achieve a reliable operation of the power system. Especially, with world wide restructuring of the power industry, power system
state estimation has got more importance as a real time monitoring tool. Because of the open access and the operation of the
transmission networks, the patterns of power flow in deregulated power system have become less predictable compared to the
integrated systems of the past. In order to achieve a more secure and economic operation of such a complicated system, utility
operators are to be properly informed of the operating condition of the current power system. Hence real time monitoring of
system is an extremely important part of the modern day Energy management system or energy control centers.
In this paper, a new fundamental WLS based Static State Estimation technique namely Singular Value Decomposition is used
which is far better than WLS based Normal Equation method. Furthermore, comparative analysis of both WLS based techniques
has been taken out for various operating situations of the power system. For the verification of both the algorithms IEEE-14 bus
test case system is utilized and results are carried out using m.file in MATLAB software.

Published

2015-05-25

How to Cite

Parvej M. Ansari, Priyank R Bhavsa, & Ramkrushna C. Nayak. (2015). Simulation and Analysis of conventional based Power System State Estimation using MATLAB. International Journal of Advance Research in Engineering, Science & Technology, 2(5), 392–397. Retrieved from https://ijarest.org/index.php/ijarest/article/view/188