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University of New Orleans

Comparison of Power Flow Algorithms for inclusion in On-line Power Systems Operation Tools

Abstract

dc:description.abstract

<p>The goal of this thesis is to develop a new, fast, adaptive load flow algorithm that "automatically alternates" numerical methods including Newton-Raphson method, Gauss-Seidel method and Gauss method for a load flow run to achieve less run time. Unlike the proposed method, the traditional load flow analysis uses only one numerical method at a time. This adaptive algorithm performs all the computation for finding the bus voltage angles and magnitudes, real and reactive powers for the given generation and load values, while keeping track of the proximity to convergence of a solution. This work focuses on finding the algorithm that uses multiple numerical techniques, rather than investigating programming techniques and programming languages. The convergence time is compared with those from using each of the numerical techniques. The proposed method is implemented on the IEEE 39-bus system with different contingencies and the solutions obtained are verified with PowerWorld Simulator, a commercial software for load flow analysis.</p>

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Electrical Engineering
Year
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bokka, Naveen
Contributors dc:contributor
  • Leevongwat, Ittiphong
  • Rastgoufard, Parviz
  • Chen, Huimin

Subjects

dc:subject × 6

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.uno.edu/td/1237
OAI identifier oai:identifier
oai:scholarworks.uno.edu:td-2220

Chain of custody

source
Harvested from
University of New Orleans
Base URL
scholarworks.uno.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Bokka, Naveen. Comparison of Power Flow Algorithms for inclusion in On-line Power Systems Operation Tools. Thesis thesis, 2010. https://scholarworks.uno.edu/td/1237