Identificación eficiente de errores en estimación de estado usando un algoritmo genético especializado
In this paper a method to solve the state estimation problem in electric systems applying combinatorial optimization is presented. Its objective is the study of measures with difficult detection errors, which affect the performance and quality of the results when a classic state estimator is used. D...
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Institution: | Universidad EIA |
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Main Authors: | , , |
Format: | Artículo de revista |
Language: | Español |
Published: |
Fondo Editorial EIA
2013-11-08
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Subjects: | |
Online Access: | https://repository.eia.edu.co/handle/11190/124 |
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Summary: | In this paper a method to solve the state estimation problem in electric systems applying combinatorial optimization is presented. Its objective is the study of measures with difficult detection errors, which affect the performance and quality of the results when a classic state estimator is used. Due to the mathematical complexity, sensibility indicators are deduced from the theory of leverage points used in the Chu-Beasley optimization algorithm with the purpose of reducing the computational effort and enhance the quality of the results. The proposed method is validated in a 30-node IEEE system.
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Physical Description: | 11 p. |
ISSN: | ISSN 17941237 |