Localización de fallas en microredes eléctricas basado en un modelo Markoviano.
The present paper analyzes the effect produced by the appearance of a state or failure event on the system and its environment, component or control structure from the result of algorithms of fault location or FDIs for Electric Microgrids, using a Markovian model. This method will help to und...
| Autor Principal: | Morejón Bastidas, José Luis |
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| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: |
http://dspace.ups.edu.ec/handle/123456789/15782 |
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| Sumario: |
The present paper analyzes the effect
produced by the appearance of a state or
failure event on the system and its
environment, component or control
structure from the result of algorithms of
fault location or FDIs for Electric
Microgrids, using a Markovian model.
This method will help to understand the
propagation of faults and their effect on
the Microgrids, in addition to allowing
the identification and location of the
important faults and its control with fault
tolerance techniques.
This method not only implements a fault
location algorithm, it also achieves a
scheme to analyze the fault propagation
that occur in Microgrids (MG). For this
case, fault locations, the detection of
critical points in which a failure can
occur, as well as the determination of the
most probable route for its propagation,
are considered the aim to be resolved. The
model was created using the Markov
process.
It is important to consider that in order for
the Markov process to obtain results close
to reality, it is necessary to consider not
only a model that simulates the dynamic
behavior of the system, but also to have
more in-depth studies that provide
statistical and probabilistic data on failure
events, their propagation and decision
making once located. |
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