Volume 1 Number 4 (Oct. 2009)
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IJCEE 2009 Vol.1 (4): 414-418 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2009.V1.63

A Fuzzy Based Efficient Load Flow Analysis

Jaydeep Chakravorty, Sandeep Chakravorty, and Smarajit Ghosh

Abstract—Load flow calculation is one of the most basic problems in power engineering. The repetitive solution of a large set of linear equations in load flow problem is one of the most time consuming parts of power systems simulations. Load flows are calculated using the traditional method such as Gauss Seidel or Newton Raphson methods. Gauss Seidel algorithm is an iterative numerical procedure and in this method the number of iteration depends on the acceleration factor (α). Here we attempt to choose the acceleration factor (α) using fuzzy logic technique so as to minimize the number of iteration and get the result in minimum required time. Comparison of the method with traditional method has been shown in the paper which proves the validity of the result. The paper shows as to how the application of Fuzzy technique in choosing an appropriate acceleration factor reduces the number of iteration and helps in obtaing the solution at a faster rate with optimum number of iteration. The simulation in carried out in MATLAB environment.

Index Terms—Load flow, Fuzzy logic technique. Gauss Seidel Method

Jaydeep Chakravorty is with Sikkim Manipal Institute of Technology under Sikkim Manipal University, Department of Electrical & Electronics Engineering,Maitar,Rangpo,EsatSikkim,India
Sandeep Chakravorty is with Sikkim Manipal Institute of Technology under Sikkim Manipal University, Department of Electrical & Electronics Engineering,Maitar,Rangpo,EsatSikkim,India
Smarajit Ghosh is with the Thapar University, Department of Electrical & Instrumentation Engineering,Patiala,Punjab−147004, India

Cite: Jaydeep Chakravorty, Sandeep Chakravorty, and Smarajit Ghosh, "A Fuzzy Based Efficient Load Flow Analysis," International Journal of Computer and Electrical Engineering vol. 1, no. 4, pp. 414-418, 2009.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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