Boosting prairie dog optimizer for optimal planning of multiple wind turbine and photovoltaic distributed generators in distribution networks considering different dynamic load models.
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| Title: | Boosting prairie dog optimizer for optimal planning of multiple wind turbine and photovoltaic distributed generators in distribution networks considering different dynamic load models. |
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| Authors: | Elseify MA; Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena, 83513, Egypt., Hashim FA; Faculty of Engineering, Helwan University, Cairo, Egypt.; Faculty of Information Technology, Middle East University, Amman, 11831, Jordan., Hussien AG; Department of Computer and Information Science, Linköping University, 581 83, Linköping, Sweden. abdelazim.hussien@liu.se.; Faculty of Science, Fayoum University, Fayoum, 63514, Egypt. abdelazim.hussien@liu.se., Abdel-Mawgoud H; Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt., Kamel S; Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt. |
| Source: | Scientific reports [Sci Rep] 2024 Jun 19; Vol. 14 (1), pp. 14173. Date of Electronic Publication: 2024 Jun 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-024-64667-4 |
