| Título: | Power System Contingency Ranking using Fuzzy Logic Based Approach |
| Autores: |
Abdelaziz, Almoataz Youssef; Ain Shams University Taha, Adel; Ain Shams University Mostafa, Mahmoud Hassan, Ahmed |
| Fecha: | 2013-06-04 |
| Publicador: | International Journal of Intelligent Systems and Applications in Engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | Contingency Ranking; Fuzzy Sets; Line Flow Index; Fuzzy Inference System. |
| Descripción: | Voltage stability is a major concern in planning and operations of power systems. It is well known that voltage instability and collapse have led to major system failures. Modern transmission networks are more heavily loaded than ever before to meet the growing demand. One of the major consequences resulted from such a stressed system is voltage collapse or instability. This paper presents fuzzy approach for ranking the contingencies using composite-index based on parallel operated fuzzy inference engine. The Line Flow index (L.F) and bus Voltage Magnitude (VM) of the load buses are expressed in fuzzy set notation. Further, they are evaluated using Fuzzy rules to obtain overall Criticality Index. Contingencies are ranked based on decreasing order of Criticality Index and then provide the comparison of ranking obtained with Fast Voltage Stability Index (FVSI) method. |
| Idioma: | Inglés |
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