Congestion management using hybrid fish bee optimization

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dc.campusChennai
dc.contributor.authorThangalakshmi, S.
dc.contributor.authorValsalal, P.
dc.date.accessioned2023-07-21T10:49:55Z
dc.date.accessioned2025-03-31T17:00:09Z
dc.date.available2023-03-30T07:04:43Z
dc.date.available2023-07-21T10:49:55Z
dc.date.issued2013-12
dc.description.abstractCongestion management is a task performed by Independent System Operator (ISO) to ensure the operation of transmission system within limits. In an emerging electric power market, congestion management is highly important and inefficient management can be a barrier to electricity trading. To minimize congestion, it is required to maximize transmission line generation and decrease its cost. A Hybrid Fish Bee Swarm Optimization based algorithm to manage congestion is proposed to achieve this objective. The Fish Bee Swarm Optimization is based on two algorithms namely Artificial Bee Colony (ABC) and Fish School Search (FSS) methods. The proposed algorithm is validated on an IEEE 30 bus system. Results show the performance of the proposed optimization technique decreases congestion.
dc.identifier.issn1992-8645
dc.identifier.urihttps://dspacenew8-imu.refread.com/handle/123456789/2513
dc.language.isoen
dc.publisherJournal of Theoretical and Applied Information Technology
dc.schoolSchool of Marine Engineering and Technology
dc.subjectCongestion Management
dc.subjectHybrid optimization
dc.subjectArtificial Bee Colony
dc.titleCongestion management using hybrid fish bee optimization
dc.typeArticle

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