DocumentCode
3580682
Title
A New Contribution to Distribution Load Flow Analysis for Radial and Mesh Distribution Systems
Author
Bhimarasetti, Ravi Teja ; Kumar, Ashwani
Author_Institution
Dept. of Electr. Eng., NIT Kurukshetra, Kurukshetra, India
fYear
2014
Firstpage
1229
Lastpage
1236
Abstract
This paper presents a new and efficient method for solving the load flow problem of a distribution system. It is mainly based on network topology, basic circuit laws and power summation technique. The main contribution of this paper is: (i) proposing a new and efficient load flow method for radial and weakly meshed distribution systems, (ii) evaluating the impact of load models, different X/R ratios, load growth and tolerance levels, (iii) analysis of impact of number of loops on weakly meshed distribution systems, (iv) comparison of radial and weakly meshed distribution system. The results are obtained for voltage profile, total power losses time of computation, and number of iterations. Computer program coded to implement this power flow solution scheme in MATLAB and successfully applied to several practical distribution networks with radial and weakly meshed structure. Effectiveness of the proposed load flow method has been presented on IEEE 33 bus and IEEE 69 bus radial and meshed distribution networks. The proposed load flow method is compared with existing load flow method Teng J. H. To demonstrate its effectiveness. The test result shows that the proposed method possesses faster convergence characteristics for the distribution networks.
Keywords
distribution networks; load flow; basic circuit laws; distribution load flow analysis; distribution networks; load growth; network topology; power summation technique; radial distribution systems; tolerance levels; voltage profile; weakly mesh distribution systems; Convergence; Impedance; Load flow analysis; Load modeling; Mesh networks; Reactive power; Load flow; load growth; radial and mesh distribution systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN
978-1-4799-6928-9
Type
conf
DOI
10.1109/CICN.2014.255
Filename
7065675
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