Clustering Analysis Between Fault Conditions and Voltage Sags Severity: An Industrial Case Study
| Autor: | Bibiana Petry Ferraz, Roberto Chouhy Leborgne, Roger Alves de Oliveira, Renato Goncalves Ferraz, Ruth Agustini |
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| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science 05 social sciences Fault (power engineering) 01 natural sciences Reliability engineering Electric power system Work (electrical) Knowledge extraction Sensitivity (control systems) 0509 other social sciences 050904 information & library sciences Cluster analysis 0105 earth and related environmental sciences Vulnerability (computing) Voltage |
| Zdroj: | 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA). |
| DOI: | 10.1109/tdc-la.2018.8511737 |
| Popis: | This work presents an analysis of clusters between the severity of voltage sags and the fault conditions in a power system. Short circuits are the main causes of voltage sags, which combined with the sensitivity of modern equipment have resulted in significant financial losses due to the significant number of industrial shutdowns. In order to carry out the study, data from voltage sags monitoring in an industrial consumer over seventeen months were evaluated. Equally, the electrical faults historical of the transmission network to which this industry is inserted were utilized in this research. The severity of the events was quantified according to IEEE 1564 standardization, which defines the use of this unique indicator in the voltage sags evaluation. From the simultaneity of these contingencies, a unique dataset was obtained to realize the knowledge discovery through Weka software. Such data mining resulted in the relation between the voltage sags events and those of electrical faults in the power system. Additionally, the most critical points of the system were identified as well as their equipment, which can serve as a basis for vulnerability area analysis and for mitigation solutions to short-term voltage variations in any power system. |
| Databáze: | OpenAIRE |
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