Clustering based Load Flow for Three Phase Unbalanced Distribution System with Voltage Sensitive Component Models

Clustering based Load Flow for Three Phase Unbalanced Distribution System with Voltage Sensitive Component Models

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UKUIW

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Clustering based Load Flow for Three Phase Unbalanced Distribution System with Voltage Sensitive Component Models

T. Murali Krishna JNT University Hyderabad, India

N.V. Ramana

S. Kamakshaiah

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Abstract

This paper presents a novel distribution power flow algorithm to estimate losses and analyze unbalanced distribution systems. An unbalanced distribution network is decomposed into clusters. The unbalanced laterals are solved using the backward/forward sweep method in each phase. The clustering of total network makes faster computation. The three phase modeling of all the distribution transformers, feeders, shunt capacitors and loads compile efficient algorithm. Load modeling is voltage dependent which makes up the load as voltage sensitive. The proposed method is tested on the IEEE 13 Node test system and the results are verified.

Clustering based Load Flow for Three Phase Unbalanced Distribution System with Voltage Sensitive Component Models

Authors

T. Murali Krishna JNT University Hyderabad, India

N.V. Ramana

S. Kamakshaiah

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How to Cite

T. Murali Krishna. 2013. “. Global Journal of Research in Engineering – F: Electrical & Electronic GJRE-F Volume 13 (GJRE Volume 13 Issue F9): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

GJRE Volume 13 Issue F9
Pg. 1- 8

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Submission Received December 13, 2012
Accepted January 3, 2013
Published January 15, 2013

Keywords

backward/forward sweep Clustering distribution system modeling load flow radial distribution system voltage sensitive components

Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: T. Murali Krishna, N.V. Ramana, S. Kamakshaiah (PhD/Dr. count: 0)

View Count (all-time): 205

Total Views (Real + Logic): 5016

Total Downloads (simulated): 2590

Publish Date: 2013 07, Fri

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Total Views: 5016

Total Downloads: 2590

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