Optimal management of renewable energy resources is a priority, especially in a global energy mix where fossil fuels are increasingly exploited. The major challenge associated with these renewable resources lies in their intermittency. Complementarity and optimal management of these resources are therefore essential. This article proposes a model for managing renewable energies in power grid systems with a storage system. The resulting model has been tested. Python 3.10 programming language was used to solve the optimization problem, using mixted integer linear programming. To test the model, a special case study was carried out in the South of Togo, representing almost 96% of the country's electrical loads. In this study, resources were first evaluated for one year, then compared according to their evolution over the years. The results showed that the country's energy potential is considerable, but unevenly distributed. The study showed that in the north and center of the country, solar energy and biomass are the main resources available. In the south, on the other hand, energy potential is based on solar, wind, hydro and biomass. The optimization results obtained for the south of the country have enabled to plan better the management of these resources over the course of the year. The results show a composition of maximum load satisfaction, with 39% from grid compared with 8% from hydro, 10% from wind, 12% from batteries systems and 31% from photovoltaic systems. The storage required for energy management is estimated at 220 kWh, with an optimal annual value for the objective cost function of around 67885.10212 USD. The model thus obtained provides a decision-making tool for the optimal management of renewable resources.
| Published in | American Journal of Energy Engineering (Volume 12, Issue 3) |
| DOI | 10.11648/j.ajee.20241203.12 |
| Page(s) | 62-79 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Optimal Management, Model, Renewable Energy, Programming, Optimization
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APA Style
Yao, B., Moyème, K., Sedzro, K. S., Pidéname, T., Yendoubé, L. (2024). Optimal Planning of Renewables Energies Management in Power Energy Systems. American Journal of Energy Engineering, 12(3), 62-79. https://doi.org/10.11648/j.ajee.20241203.12
ACS Style
Yao, B.; Moyème, K.; Sedzro, K. S.; Pidéname, T.; Yendoubé, L. Optimal Planning of Renewables Energies Management in Power Energy Systems. Am. J. Energy Eng. 2024, 12(3), 62-79. doi: 10.11648/j.ajee.20241203.12
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Download@article{10.11648/j.ajee.20241203.12,
author = {Bokovi Yao and Kabe Moyème and Kwami Senam Sedzro and Takouda Pidéname and Lare Yendoubé},
title = {Optimal Planning of Renewables Energies Management in Power Energy Systems
},
journal = {American Journal of Energy Engineering},
volume = {12},
number = {3},
pages = {62-79},
doi = {10.11648/j.ajee.20241203.12},
url = {https://doi.org/10.11648/j.ajee.20241203.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajee.20241203.12},
abstract = {Optimal management of renewable energy resources is a priority, especially in a global energy mix where fossil fuels are increasingly exploited. The major challenge associated with these renewable resources lies in their intermittency. Complementarity and optimal management of these resources are therefore essential. This article proposes a model for managing renewable energies in power grid systems with a storage system. The resulting model has been tested. Python 3.10 programming language was used to solve the optimization problem, using mixted integer linear programming. To test the model, a special case study was carried out in the South of Togo, representing almost 96% of the country's electrical loads. In this study, resources were first evaluated for one year, then compared according to their evolution over the years. The results showed that the country's energy potential is considerable, but unevenly distributed. The study showed that in the north and center of the country, solar energy and biomass are the main resources available. In the south, on the other hand, energy potential is based on solar, wind, hydro and biomass. The optimization results obtained for the south of the country have enabled to plan better the management of these resources over the course of the year. The results show a composition of maximum load satisfaction, with 39% from grid compared with 8% from hydro, 10% from wind, 12% from batteries systems and 31% from photovoltaic systems. The storage required for energy management is estimated at 220 kWh, with an optimal annual value for the objective cost function of around 67885.10212 USD. The model thus obtained provides a decision-making tool for the optimal management of renewable resources.},
year = {2024}
}
TY - JOUR T1 - Optimal Planning of Renewables Energies Management in Power Energy Systems AU - Bokovi Yao AU - Kabe Moyème AU - Kwami Senam Sedzro AU - Takouda Pidéname AU - Lare Yendoubé Y1 - 2024/10/29 PY - 2024 N1 - https://doi.org/10.11648/j.ajee.20241203.12 DO - 10.11648/j.ajee.20241203.12 T2 - American Journal of Energy Engineering JF - American Journal of Energy Engineering JO - American Journal of Energy Engineering SP - 62 EP - 79 PB - Science Publishing Group SN - 2329-163X UR - https://doi.org/10.11648/j.ajee.20241203.12 AB - Optimal management of renewable energy resources is a priority, especially in a global energy mix where fossil fuels are increasingly exploited. The major challenge associated with these renewable resources lies in their intermittency. Complementarity and optimal management of these resources are therefore essential. This article proposes a model for managing renewable energies in power grid systems with a storage system. The resulting model has been tested. Python 3.10 programming language was used to solve the optimization problem, using mixted integer linear programming. To test the model, a special case study was carried out in the South of Togo, representing almost 96% of the country's electrical loads. In this study, resources were first evaluated for one year, then compared according to their evolution over the years. The results showed that the country's energy potential is considerable, but unevenly distributed. The study showed that in the north and center of the country, solar energy and biomass are the main resources available. In the south, on the other hand, energy potential is based on solar, wind, hydro and biomass. The optimization results obtained for the south of the country have enabled to plan better the management of these resources over the course of the year. The results show a composition of maximum load satisfaction, with 39% from grid compared with 8% from hydro, 10% from wind, 12% from batteries systems and 31% from photovoltaic systems. The storage required for energy management is estimated at 220 kWh, with an optimal annual value for the objective cost function of around 67885.10212 USD. The model thus obtained provides a decision-making tool for the optimal management of renewable resources. VL - 12 IS - 3 ER -
Department of Electrical Engineering, Engineering Sciences Research Laboratory, Regional Center of Excellence for Electricity Control, University of Lome, Lome, Togo
Regional Center of Excellence for Electricity Control, Solar Energy Laboratory, University of Lome, Lome, Togo
National Renewable Energy Laboratory, Colorado, USA
Electrical Engineer, University of Lome, Lome, Togo
Regional Center of Excellence for Electricity Control, Solar Energy Laboratory, University of Lome, Lome, Togo
