Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system
| Main Authors: | Abas, Nur Ainna Shakinah; Universiti Teknologi Mara, Musirin, Ismail; Universiti Teknologi Mara, Jelani, Shahrizal; UCSI University, Mansor, Mohd Helmi; Universiti Tenaga Nasional, Honnoon, Naeem M. S.; Universiti Tenaga Nasional, Othman, Muhammad Murtadha; Universiti Tenaga Nasional |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Institute of Advanced Engineering and Science
, 2019
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| Subjects: | |
| Online Access: |
http://journal.portalgaruda.org/index.php/EEI/article/view/1771 http://journal.portalgaruda.org/index.php/EEI/article/view/1771/1231 |
Daftar Isi:
- 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.