Optimal location and size of distributed generation to reduce power losses based on differential evolution technique
An electric power system generate electricity to meet demands. Distributed Generation (DG) allows electricity to be generated in a small capacity where the customer is located. In this paper, multi-objective functions based on the indices of system performance are formulated and used to determine th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Universiti Putra Malaysia Press
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/55831/1/19-JTS%28S%29-0095-2016-4thProof.pdf http://psasir.upm.edu.my/id/eprint/55831/ http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2025%20(S)%20Jan.%202017/19-JTS(S)-0095-2016-4thProof.pdf |
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| Summary: | An electric power system generate electricity to meet demands. Distributed Generation (DG) allows electricity to be generated in a small capacity where the customer is located. In this paper, multi-objective functions based on the indices of system performance are formulated and used to determine the best location. The Differential Evolution technique (DE) has been employed to calculate optimal sizing for each location. Unity power factor DG model have been studied in this work and the problems solved with one DG unit. IEEE 14 bus has been used as a test system. |
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