Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing
Due to the complexity of modern power distribution network, a hybridization of heuristic method which is called as Evolutionary Particle Swarm Optimization (EPSO) is introduced to identify the open and closed switching operation plans for network reconfiguration. The objectives of this work are t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Trans Tech Publications
2014
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/13857/1/2015-AMM.699.809.pdf http://eprints.utem.edu.my/id/eprint/13857/ http://www.scientific.net |
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| Summary: | Due to the complexity of modern power distribution network, a hybridization of heuristic
method which is called as Evolutionary Particle Swarm Optimization (EPSO) is introduced to
identify the open and closed switching operation plans for network reconfiguration. The objectives of
this work are to reduce the power losses and improve the voltage profile in the overall system
meanwhile minimizing the computational time. The proposed combination of Particle Swarm
Optimization (PSO) and Evolutionary Programming (EP) is introduced to make it faster in order to
find the optimal solution. The proposed method is applied and it impacts to the network
reconfiguration for real power loss and voltage profiles is investigated respectively. The proposed
method is tested on a IEEE 33-bus system and it is compared to the traditional PSO and EP method
accordingly. The results of this study is hoped to help the power engineer to configure the smart and
less lossed network in the future. |
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