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 understand...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | bachelorThesis |
| اللغة: | spa |
| منشور في: |
2018
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://dspace.ups.edu.ec/handle/123456789/15782 |
| الوسوم: |
إضافة وسم
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إضافة وسم | الملخص: | 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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