A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources
Abstract This paper reports the optimum operation of a virtual power plant (VPP) to reduce the reliance on coal and gas-based energy generation. This practice not only promotes the incorporation of renewable-based energy sources but also reduces the reliance on fossil-based resources which are limit...
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-09164-y |
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| author | Anubhav Kumar Pandey Chaima Mansour Nandini K. K. Vinay Kumar Jadoun Jayalakshmi N. S. |
| author_facet | Anubhav Kumar Pandey Chaima Mansour Nandini K. K. Vinay Kumar Jadoun Jayalakshmi N. S. |
| author_sort | Anubhav Kumar Pandey |
| collection | DOAJ |
| description | Abstract This paper reports the optimum operation of a virtual power plant (VPP) to reduce the reliance on coal and gas-based energy generation. This practice not only promotes the incorporation of renewable-based energy sources but also reduces the reliance on fossil-based resources which are limited in the reserves. The selected VPP system comprises small hydropower, wind turbine, solar photovoltaics and fuel cells accompanied by a co-generation unit. The proposed VPP is also equipped with a storage facility applicable as a flexible storage option i.e., an electric vehicle followed by an energy storage system. In addition, the primary objective of this work is to lessen the overall cost associated with the system along with a reduction in the generated emissions. Moreover, a Golden Jackal-based Optimization inspired by nature is utilized in a single and multi-objective framework to attain the desired target objectives. Furthermore, the scheduling of the VPP system is carried out on a day-ahead basis and the outcome in terms of cost and emission is compared with the available work in the literature and the result reveals the effectiveness of the system in terms of quality solutions sets for the objectives, minimum computational time and better convergence behavior. In particular, there is a reduction in cost by 2.1% and 0.62% when compared with the salp swarm algorithm and beluga whale algorithm followed by 2.12% and 1.18% in emission. Furthermore, the cost/emission of the VPP system is also abridged by employing a Pareto-based approach which shows the suitability and effectiveness of the developed system. |
| format | Article |
| id | doaj-art-0219718c3b1e43a7a4bfb449871d5c9b |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-0219718c3b1e43a7a4bfb449871d5c9b2025-08-20T04:01:49ZengNature PortfolioScientific Reports2045-23222025-07-0115112310.1038/s41598-025-09164-yA Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resourcesAnubhav Kumar Pandey0Chaima Mansour1Nandini K. K.2Vinay Kumar Jadoun3Jayalakshmi N. S.4Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher EducationDepartment of Energy, National School of Engineer of TunisDepartment of Electrical and Electronics Engineering, NMAM Institute of Technology, Nitte (Deemed to be University)Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher EducationDepartment of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher EducationAbstract This paper reports the optimum operation of a virtual power plant (VPP) to reduce the reliance on coal and gas-based energy generation. This practice not only promotes the incorporation of renewable-based energy sources but also reduces the reliance on fossil-based resources which are limited in the reserves. The selected VPP system comprises small hydropower, wind turbine, solar photovoltaics and fuel cells accompanied by a co-generation unit. The proposed VPP is also equipped with a storage facility applicable as a flexible storage option i.e., an electric vehicle followed by an energy storage system. In addition, the primary objective of this work is to lessen the overall cost associated with the system along with a reduction in the generated emissions. Moreover, a Golden Jackal-based Optimization inspired by nature is utilized in a single and multi-objective framework to attain the desired target objectives. Furthermore, the scheduling of the VPP system is carried out on a day-ahead basis and the outcome in terms of cost and emission is compared with the available work in the literature and the result reveals the effectiveness of the system in terms of quality solutions sets for the objectives, minimum computational time and better convergence behavior. In particular, there is a reduction in cost by 2.1% and 0.62% when compared with the salp swarm algorithm and beluga whale algorithm followed by 2.12% and 1.18% in emission. Furthermore, the cost/emission of the VPP system is also abridged by employing a Pareto-based approach which shows the suitability and effectiveness of the developed system.https://doi.org/10.1038/s41598-025-09164-yEnergy managementMetaheuristicOptimizationRenewable sourcesVirtual power plant |
| spellingShingle | Anubhav Kumar Pandey Chaima Mansour Nandini K. K. Vinay Kumar Jadoun Jayalakshmi N. S. A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources Scientific Reports Energy management Metaheuristic Optimization Renewable sources Virtual power plant |
| title | A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources |
| title_full | A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources |
| title_fullStr | A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources |
| title_full_unstemmed | A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources |
| title_short | A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources |
| title_sort | golden jackal based optimal operation and optimization of a virtual power plant involving renewable resources |
| topic | Energy management Metaheuristic Optimization Renewable sources Virtual power plant |
| url | https://doi.org/10.1038/s41598-025-09164-y |
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