Fuzzy logic technique for congestion line identification in power system

• Published in: ARPN Journal of Engineering and Applied Sciences
• Main Author: Mohd Ali N.Z.; Musirin I.; Abdullah H.; Suliman S.I.
• Format: Article
• Language: English
• Published: Asian Research Publishing Network 2015
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953439996&partnerID=40&md5=94a2bdd1217bebefd38138e967ab2006

Congestion problem is a significant issue in power system due to the increasing demand in this vicinity. Failure in properly managing the issue may lead to insecure power delivery to the consumer. Flexible Alternating Current Transmission (FACTs) can be a possible solution for the compensating purposes. This requires proper decision making so that proper sizing can be identified which in turns reducing monetary losses. This paper presents fuzzy logic technique for congested line identification as a decision tool. A pre-developed line voltage stability index, termed as fast voltage stability index (FVSI) is chosen as the incorporating instrument in this study. A sensitivity analysis equation is formulated termed as Fuzzy Congestion Index (FCI). Validation was conducted using the IEEE 30-Bus Reliable Test System (RTS). Results from the study revealed that the proposed technique managed to correctly identify the congested line. FCI was compared FVSI, indicating that the proposed technique revealed the suitability for identifying the congested line. This technique is also feasible for further implementation in larger and practical system.