Optimal integration of photovoltaic power into the electricity network using Slime mould algorithms: Application to the interconnected grid in North Cameroon
This document proposes a method for determining the optimal point of integration of PV Generated into the electricity grid. The Slime mould optimization algorithm ( SMOA) is applied to determine the best node in the case of one and two injection points. The problem has been modelled as an optimizati...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721008829 |
| _version_ | 1819174815497453568 |
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| author | F. Fissou Amigue S. Ndjakomo Essiane S. Perabi Ngoffe G. Abessolo Ondoa G. Mengata Mengounou P.T. Nna Nna |
| author_facet | F. Fissou Amigue S. Ndjakomo Essiane S. Perabi Ngoffe G. Abessolo Ondoa G. Mengata Mengounou P.T. Nna Nna |
| author_sort | F. Fissou Amigue |
| collection | DOAJ |
| description | This document proposes a method for determining the optimal point of integration of PV Generated into the electricity grid. The Slime mould optimization algorithm ( SMOA) is applied to determine the best node in the case of one and two injection points. The problem has been modelled as an optimization problem where the objective is to minimize joule losses and the main constraint is to regulate the voltage at each point. The proposed method was implemented in MATLAB and applied in the nodes of the IEEE networks 33 and 69 and the north interconnected grid (NIG) of north Cameroon. The results allowed us to determine the optimal points of the NIG allowing us to inject with less losses. Comparison of the results obtained with other algorithms showed that the SMOA has the best reduction in power losses and a good improvement in the voltage profile. |
| first_indexed | 2024-12-22T20:44:58Z |
| format | Article |
| id | doaj.art-feaa716cb947402188a677875b97f03e |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-22T20:44:58Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-feaa716cb947402188a677875b97f03e2022-12-21T18:13:15ZengElsevierEnergy Reports2352-48472021-11-01762926307Optimal integration of photovoltaic power into the electricity network using Slime mould algorithms: Application to the interconnected grid in North CameroonF. Fissou Amigue0S. Ndjakomo Essiane1S. Perabi Ngoffe2G. Abessolo Ondoa3G. Mengata Mengounou4P.T. Nna Nna5University of Douala, Laboratory of Technology and Applied Sciences of Douala, Cameroon; Corresponding author.University of Douala, Laboratory of Technology and Applied Sciences of Douala, Cameroon; University of Yaoundé 1, Higher Technical Teacher Training College of Ebolowa, CameroonUniversity of Douala, Laboratory of Technology and Applied Sciences of Douala, Cameroon; University of Ngaoundere, Higher Teacher Training College of Bertoua, CameroonUniversity of Douala, Institute of Fisheries and Aquatic Sciences, CameroonUniversity of Douala, Laboratory of Technology and Applied Sciences of Douala, CameroonUniversity of Douala, Laboratory of Technology and Applied Sciences of Douala, CameroonThis document proposes a method for determining the optimal point of integration of PV Generated into the electricity grid. The Slime mould optimization algorithm ( SMOA) is applied to determine the best node in the case of one and two injection points. The problem has been modelled as an optimization problem where the objective is to minimize joule losses and the main constraint is to regulate the voltage at each point. The proposed method was implemented in MATLAB and applied in the nodes of the IEEE networks 33 and 69 and the north interconnected grid (NIG) of north Cameroon. The results allowed us to determine the optimal points of the NIG allowing us to inject with less losses. Comparison of the results obtained with other algorithms showed that the SMOA has the best reduction in power losses and a good improvement in the voltage profile.http://www.sciencedirect.com/science/article/pii/S2352484721008829OptimizationPV GeneratedIntegrationSlime mould algorithm |
| spellingShingle | F. Fissou Amigue S. Ndjakomo Essiane S. Perabi Ngoffe G. Abessolo Ondoa G. Mengata Mengounou P.T. Nna Nna Optimal integration of photovoltaic power into the electricity network using Slime mould algorithms: Application to the interconnected grid in North Cameroon Energy Reports Optimization PV Generated Integration Slime mould algorithm |
| title | Optimal integration of photovoltaic power into the electricity network using Slime mould algorithms: Application to the interconnected grid in North Cameroon |
| title_full | Optimal integration of photovoltaic power into the electricity network using Slime mould algorithms: Application to the interconnected grid in North Cameroon |
| title_fullStr | Optimal integration of photovoltaic power into the electricity network using Slime mould algorithms: Application to the interconnected grid in North Cameroon |
| title_full_unstemmed | Optimal integration of photovoltaic power into the electricity network using Slime mould algorithms: Application to the interconnected grid in North Cameroon |
| title_short | Optimal integration of photovoltaic power into the electricity network using Slime mould algorithms: Application to the interconnected grid in North Cameroon |
| title_sort | optimal integration of photovoltaic power into the electricity network using slime mould algorithms application to the interconnected grid in north cameroon |
| topic | Optimization PV Generated Integration Slime mould algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721008829 |
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