Title :
BCO based technique for line outage identification in congestion management
Author :
Rahim, M.N.A. ; Musirin, I. ; Hamid, Z.A. ; Kamari, N. A Mohamed
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
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 particular. 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.
Keywords :
ant colony optimisation; evolutionary computation; particle swarm optimisation; power system faults; power system management; BCO; IEEE 26-RTS bus; IEEE 30-bus reliability test system bus; bee colony optimization; catastrophic event; congestion management; evolutionary programming; line outage identification; metropolitan country; particle swarm optimisation; Equations; Genetic algorithms; Joining processes; Optimization; Power engineering; Power transmission lines; Bee colony algorithm; Evolutionary Programming; congestion management; electrical; urbanization;
Conference_Titel :
Power Engineering and Optimization Conference (PEDCO) Melaka, Malaysia, 2012 Ieee International
Conference_Location :
Melaka
Print_ISBN :
978-1-4673-0660-7
DOI :
10.1109/PEOCO.2012.6230896
