Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system
This paper presents the optimal multiple distributed generations (MDGs) installation for improving the voltage profile and minimizing power losses of distribution system using the integrated monte-carlo evolutionary programming (EP). EP was used as the optimization technique while monte carlo simula...
| Published in: | Bulletin of Electrical Engineering and Informatics |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2019
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071394911&doi=10.11591%2feei.v8i3.1631&partnerID=40&md5=a6376ad443583b89c0189ba58ce183d7 |
| Summary: | This paper presents the optimal multiple distributed generations (MDGs) installation for improving the voltage profile and minimizing power losses of distribution system using the integrated monte-carlo evolutionary programming (EP). EP was used as the optimization technique while monte carlo simulation is used to find the random number of locations of MDGs. This involved the testing of the proposed technique on IEEE 69-bus distribution test system. It is found that the proposed approach successfully solved the MDGs installation problem by reducing the power losses and improving the minimum voltage of the distribution system. © 2019 Institute of Advanced Engineering and Science. All rights reserved. |
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| ISSN: | 20893191 |
| DOI: | 10.11591/eei.v8i3.1631 |