A Robust-Based Home Energy Management Model for Optimal Participation of Prosumers in Competitive P2P Platforms
Nowadays, advanced metering and communication infrastructures make it possible to enable decentralized control and market schemes. In this context, prosumers can interact with their neighbors in an active manner, thus sharing resources. This practice, known as peer-to-peer (P2P), can be put into pra...
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2024-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/22/5735 |
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| author | Alaa Al Zetawi Marcos Tostado-Véliz Hany M. Hasanien Francisco Jurado |
| author_facet | Alaa Al Zetawi Marcos Tostado-Véliz Hany M. Hasanien Francisco Jurado |
| author_sort | Alaa Al Zetawi |
| collection | DOAJ |
| description | Nowadays, advanced metering and communication infrastructures make it possible to enable decentralized control and market schemes. In this context, prosumers can interact with their neighbors in an active manner, thus sharing resources. This practice, known as peer-to-peer (P2P), can be put into practice under cooperative or competitive premises. This paper focuses on the second case, where the peers partaking in the P2P platform compete among themselves to improve their monetary balances. In such contexts, the domestic assets, such as on-site generators and storage systems, should be optimally scheduled to maximize participation in the P2P platform and thus enable the possibility of obtaining monetary incomes or exploiting surplus renewable energy from adjacent prosumers. This paper addresses this issue by developing a home energy management model for optimal participation of prosumers in competitive P2P platforms. The new proposal is cast in a three-stage procedure, in which the first and last stages are focused on domestic asset scheduling, while the second step decides the optimal offering/bidding strategy for the concerned prosumer. Moreover, uncertainties are introduced using interval notation and equivalent scenarios, resulting in an amicable computational framework that can be efficiently solved by average machines and off-the-shelf solvers. The new methodology is tested on a benchmark four-prosumer community. Results prove that the proposed procedure effectively maximizes the participation of prosumers in the P2P platform, thus increasing their monetary benefits. The role of storage systems is also discussed, in particular their capability of increasing exportable energy. Finally, the influence of uncertainties on the final results is illustrated. |
| format | Article |
| id | doaj-art-879fd22cbf6d42cea7499b83fbb44a82 |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Energies |
| spelling | doaj-art-879fd22cbf6d42cea7499b83fbb44a822025-08-20T02:08:00ZengMDPI AGEnergies1996-10732024-11-011722573510.3390/en17225735A Robust-Based Home Energy Management Model for Optimal Participation of Prosumers in Competitive P2P PlatformsAlaa Al Zetawi0Marcos Tostado-Véliz1Hany M. Hasanien2Francisco Jurado3Department of Electrical Engineering, University of Jaén, 23700 Linares, SpainDepartment of Electrical Engineering, University of Jaén, 23700 Linares, SpainElectrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, EgyptDepartment of Electrical Engineering, University of Jaén, 23700 Linares, SpainNowadays, advanced metering and communication infrastructures make it possible to enable decentralized control and market schemes. In this context, prosumers can interact with their neighbors in an active manner, thus sharing resources. This practice, known as peer-to-peer (P2P), can be put into practice under cooperative or competitive premises. This paper focuses on the second case, where the peers partaking in the P2P platform compete among themselves to improve their monetary balances. In such contexts, the domestic assets, such as on-site generators and storage systems, should be optimally scheduled to maximize participation in the P2P platform and thus enable the possibility of obtaining monetary incomes or exploiting surplus renewable energy from adjacent prosumers. This paper addresses this issue by developing a home energy management model for optimal participation of prosumers in competitive P2P platforms. The new proposal is cast in a three-stage procedure, in which the first and last stages are focused on domestic asset scheduling, while the second step decides the optimal offering/bidding strategy for the concerned prosumer. Moreover, uncertainties are introduced using interval notation and equivalent scenarios, resulting in an amicable computational framework that can be efficiently solved by average machines and off-the-shelf solvers. The new methodology is tested on a benchmark four-prosumer community. Results prove that the proposed procedure effectively maximizes the participation of prosumers in the P2P platform, thus increasing their monetary benefits. The role of storage systems is also discussed, in particular their capability of increasing exportable energy. Finally, the influence of uncertainties on the final results is illustrated.https://www.mdpi.com/1996-1073/17/22/5735home energy managementpeer-to-peerprosumersmart home |
| spellingShingle | Alaa Al Zetawi Marcos Tostado-Véliz Hany M. Hasanien Francisco Jurado A Robust-Based Home Energy Management Model for Optimal Participation of Prosumers in Competitive P2P Platforms Energies home energy management peer-to-peer prosumer smart home |
| title | A Robust-Based Home Energy Management Model for Optimal Participation of Prosumers in Competitive P2P Platforms |
| title_full | A Robust-Based Home Energy Management Model for Optimal Participation of Prosumers in Competitive P2P Platforms |
| title_fullStr | A Robust-Based Home Energy Management Model for Optimal Participation of Prosumers in Competitive P2P Platforms |
| title_full_unstemmed | A Robust-Based Home Energy Management Model for Optimal Participation of Prosumers in Competitive P2P Platforms |
| title_short | A Robust-Based Home Energy Management Model for Optimal Participation of Prosumers in Competitive P2P Platforms |
| title_sort | robust based home energy management model for optimal participation of prosumers in competitive p2p platforms |
| topic | home energy management peer-to-peer prosumer smart home |
| url | https://www.mdpi.com/1996-1073/17/22/5735 |
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