Reconfiguration of Smart Distribution Network in the Presence of Renewable DG's Using GWO Algorithm

In this paper, the optimal reconfiguration of smart distribution system is performed with the aim of active power loss reduction and voltage stability improvement. The distribution network is considered equipped with wind turbines and solar cells as Renewable DG's (RDG's). Because of the p...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2017-08, Vol.83 (1), p.12003
Main Authors: Siavash, M., Pfeifer, C., Rahiminejad, A., Vahidi, B.
Format: Article
Language:English
Subjects:
Algorithms
Genetic algorithms
Loss reduction
Optimization
Particle swarm optimization
Photovoltaic cells
Reconfiguration
Solar cells
Turbines
Voltage stability
Wind power
Wind turbines
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Summary:In this paper, the optimal reconfiguration of smart distribution system is performed with the aim of active power loss reduction and voltage stability improvement. The distribution network is considered equipped with wind turbines and solar cells as Renewable DG's (RDG's). Because of the presence of smart metering devices, the network state is known accurately at any moment. Based on the network conditions (the amount of load and generation of RDG's), the optimal configuration of the network is obtained. The optimization problem is solved using a recently introduced method known as Grey Wolf Optimizer (GWO). The proposed approach is applied on 69-bus radial test system and the results of the GWO are compared to those of Particle Swarm Optimization (PSO), and Genetic Algorithm (GA). The results show the effectiveness of the proposed approach and the selected optimization method.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/83/1/012003