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BCO based technique for line outage identification in congestion management

Authors: M. N. A. Rahim; I. Musirin; Z. A. Hamid; N. A. M. Kamari;

BCO based technique for line outage identification in congestion management

Abstract

In a modern urbanization metropolitan country, energy especially electrical energy is considered as an inevitable necessity because of their need have been seen apparently increase every year. Since then, the congestion in the power system had brought serious problems for the utility in particula. If the problems are not handled with care, a grisly catastrophic event is waiting, thus an appropriate method is recommended in order to explore a new approach to solve congestion issue. In this paper, congestion management with the bee colony optimisation (BCO) technique in solving the congestion problems in power system is presented. The BCO has been used in IEEE 30-Bus Reliability Test System (RTS) Bus and IEEE 26-RTS Bus to validate its capability. However for the verification purposes, other optimization such as Evolutionary Programming (EP) and Particle Swarm Optimisation Technique (PSO) are also be used.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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