Optimal sizing of hybrid Systems for Power loss Reduction and Voltage improvement using PSO algorithm: Case study of Guissia Rural Grid
This work proposes a method for sizing and reducing power losses (MSRPL) of a hybrid photovoltaic and wind system (HPWS) in a radial distribution network (RDN) by developing an objective function, thanks to particles swarm optimization (PSO). The constraints defined on the objective function has per...
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| Published in | Energy reports Vol. 8; pp. 86 - 95 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.11.2022
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2352-4847 2352-4847 |
| DOI | 10.1016/j.egyr.2022.06.093 |
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| Abstract | This work proposes a method for sizing and reducing power losses (MSRPL) of a hybrid photovoltaic and wind system (HPWS) in a radial distribution network (RDN) by developing an objective function, thanks to particles swarm optimization (PSO). The constraints defined on the objective function has permitted us to size the photovoltaic generator, wind turbine and total production cost. The proposed system configuration (PSC) improved the voltage level and minimized the power losses (PL) in the radial network. The proposed PSO algorithm was tested on Guissia (10°30’N, 15°18’E) rural electric grid (GREG) in the far north of Cameroon, which has a radial configuration. The integration of a battery bank allowed the system to have the power factor correction and production of active and reactive power. The test on IEEE 33-bus and IEEE 69 bus showed the robustness of the system and the reliability of the proposed method which also minimized the total cost of the system over 20 years. |
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| AbstractList | This work proposes a method for sizing and reducing power losses (MSRPL) of a hybrid photovoltaic and wind system (HPWS) in a radial distribution network (RDN) by developing an objective function, thanks to particles swarm optimization (PSO). The constraints defined on the objective function has permitted us to size the photovoltaic generator, wind turbine and total production cost. The proposed system configuration (PSC) improved the voltage level and minimized the power losses (PL) in the radial network. The proposed PSO algorithm was tested on Guissia (10°30’N, 15°18’E) rural electric grid (GREG) in the far north of Cameroon, which has a radial configuration. The integration of a battery bank allowed the system to have the power factor correction and production of active and reactive power. The test on IEEE 33-bus and IEEE 69 bus showed the robustness of the system and the reliability of the proposed method which also minimized the total cost of the system over 20 years. |
| Author | Kitmo Ngoussandou, Bello-Pierre Kidmo, Dieudonné Kaoga Djidimbélé, Répélé Raidandi, Danwe Bajaj, Mohit |
| Author_xml | – sequence: 1 givenname: Répélé surname: Djidimbélé fullname: Djidimbélé, Répélé organization: Department of Renewable Energy, National Advanced School of Engineering of Maroua, University of Maroua, Cameroon – sequence: 2 givenname: Bello-Pierre surname: Ngoussandou fullname: Ngoussandou, Bello-Pierre organization: Department of Renewable Energy, National Advanced School of Engineering of Maroua, University of Maroua, Cameroon – sequence: 3 givenname: Dieudonné Kaoga orcidid: 0000-0003-4244-2731 surname: Kidmo fullname: Kidmo, Dieudonné Kaoga email: kidmokaoga@gmail.com organization: Department of Renewable Energy, National Advanced School of Engineering of Maroua, University of Maroua, Cameroon – sequence: 4 surname: Kitmo fullname: Kitmo organization: Department of Renewable Energy, National Advanced School of Engineering of Maroua, University of Maroua, Cameroon – sequence: 5 givenname: Mohit surname: Bajaj fullname: Bajaj, Mohit organization: Department of Electrical Engineering, National Institute of Technology Delhi, India – sequence: 6 givenname: Danwe surname: Raidandi fullname: Raidandi, Danwe organization: Department of Civil Engineering and Architecture, National Advanced School of Engineering of Maroua, University of Maroua, Cameroon |
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| Keywords | Power loss Radial distribution Guissia rural electric grid PSO algorithm |
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| SubjectTerms | Guissia rural electric grid Power loss PSO algorithm Radial distribution |
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| Title | Optimal sizing of hybrid Systems for Power loss Reduction and Voltage improvement using PSO algorithm: Case study of Guissia Rural Grid |
| URI | https://dx.doi.org/10.1016/j.egyr.2022.06.093 https://doi.org/10.1016/j.egyr.2022.06.093 https://doaj.org/article/d0fddbd64a79475d9c10dffdc32ffa20 |
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