Developed cluster of SVC installation in power system network via hybrid meta-heuristic method

Jumaat, Siti Amely; Musirin, Ismail; Othman, M. M.; Mokhlis, Hazlie; Rahmat, Nur Ezan

doi:10.1109/aeect.2013.6716457

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Evolutionary Particle Swarm Optimization1

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2014

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“…This section explains Evolutionary Particle Swarm Optimization (EPSO) that is one of the optimization techniques based on swarm intelligence [11][12][13]. The optimal location and sizing of FACTS devices with objective function to minimize the transmission loss along with monitoring the voltage profile of buses in the system and calculating the cost of installation.…”

Section: Evolutionary Particle Swarm Optimizationmentioning

confidence: 99%

A hybrid meta-heuristics optimization technique for loss minimization and cluster identification in power system network

Jumaat

Musirin

Othman

et al. 2014

2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014)

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This paper introduces a new approach of hybrid metaheuristics based technique for minimizing the transmission loss and the clustering of FACTS device installation in power system network. The proposed Evolutionary Particle Swarm Optimization technique has been implemented to minimize the transmission loss, to improve the voltage and monitor the cost of installation in the system. Subsequently, cluster identification through FACTS device installation in power system is proposed which aims to demonstrate the area for FACTs devices to be installed. Comparison with respect to conventional Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) has been done to realize the effectiveness of proposed techniques.

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Section: Evolutionary Particle Swarm Optimizationmentioning

confidence: 99%