Determination of voltage stability boundary values in electrical power systems by using the Chaotic Particle Swarm Optimization algorithm
•CPSO is a direct method without a continuous power flow to compute the critical values in a power system.•CPSO is an effective method and reach the desired performance.•Chaotic maps such as logistic map and Henon map can be used against the random number generator. A power system has critical value...
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Published in | International journal of electrical power & energy systems Vol. 64; pp. 873 - 879 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.01.2015
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Subjects | |
Online Access | Get full text |
ISSN | 0142-0615 1879-3517 |
DOI | 10.1016/j.ijepes.2014.08.012 |
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Summary: | •CPSO is a direct method without a continuous power flow to compute the critical values in a power system.•CPSO is an effective method and reach the desired performance.•Chaotic maps such as logistic map and Henon map can be used against the random number generator.
A power system has critical values which are the limit values of voltage stability. These values are the highest active power taken by the load busses, voltage amplitude and the angle of the busses. In this research the critical values in electric power systems are defined with use of Chaotic Particle Swarm Optimization (CPSO) algorithm. In this study CPSO has been aimed to use logistic map and Henon map as chaotic maps to control the values of the parameters in velocity update formulation. Initially, critical values of voltage stability have been found by simple Particle Swarm Optimization (PSO). Then the same values have been found with CPSO. Accordingly, the results have been evaluated and observed that the stability critical values found by CPSO can be used to produce good potential solutions. Simulation results are promising and show the effectiveness of the applied approach. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0142-0615 1879-3517 |
DOI: | 10.1016/j.ijepes.2014.08.012 |