A hierarchical approach for P2P energy trading considering community energy storage and PV‐enriched system operator
Abstract The requirements to reduce dependence on fossil fuels and minimize harmful emissions necessitate using renewable energy more effectively. In this regard, a Peer‐to‐Peer (P2P) energy trading market in which excess power is sold to neighbors is emerging in place of the typical market where ex...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-12-01
|
| Series: | IET Generation, Transmission & Distribution |
| Online Access: | https://doi.org/10.1049/gtd2.12636 |
| _version_ | 1798023137048133632 |
|---|---|
| author | Tayfur Gokcek Ibrahim Sengor Barry P. Hayes Ozan Erdinc |
| author_facet | Tayfur Gokcek Ibrahim Sengor Barry P. Hayes Ozan Erdinc |
| author_sort | Tayfur Gokcek |
| collection | DOAJ |
| description | Abstract The requirements to reduce dependence on fossil fuels and minimize harmful emissions necessitate using renewable energy more effectively. In this regard, a Peer‐to‐Peer (P2P) energy trading market in which excess power is sold to neighbors is emerging in place of the typical market where excess power is sold back to the grid. In this study, a bi‐level optimal bidding strategy is proposed in which community energy storage systems (CES) and community photovoltaic (CPV) generation are considered. Moreover, individual PV and CES are taken into account for each household. While optimal scheduling of prosumers is carried out at the lower level, the local clearing price considering the profit of Energy Sharing Provider (ESP) is obtained at the upper level. Furthermore, various case studies consisting of Peer‐to‐Grid (P2G), P2P, and CES‐supported P2P are created under different storage capacities. The devised mixed‐integer linear programming (MILP) based model is tested using each case study, validating the proposed model and proving its effectiveness. |
| first_indexed | 2024-04-11T17:41:27Z |
| format | Article |
| id | doaj.art-c6df94e6410c4d29a5ad14c518ab649e |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-11T17:41:27Z |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-c6df94e6410c4d29a5ad14c518ab649e2022-12-22T04:11:28ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952022-12-0116234738474910.1049/gtd2.12636A hierarchical approach for P2P energy trading considering community energy storage and PV‐enriched system operatorTayfur Gokcek0Ibrahim Sengor1Barry P. Hayes2Ozan Erdinc3Department of Electrical Engineering Yildiz Technical University Istanbul TurkeyMaREI, the SFI Research Centre for Energy, Climate and Marine University College Cork Cork IrelandMaREI, the SFI Research Centre for Energy, Climate and Marine University College Cork Cork IrelandDepartment of Electrical Engineering Yildiz Technical University Istanbul TurkeyAbstract The requirements to reduce dependence on fossil fuels and minimize harmful emissions necessitate using renewable energy more effectively. In this regard, a Peer‐to‐Peer (P2P) energy trading market in which excess power is sold to neighbors is emerging in place of the typical market where excess power is sold back to the grid. In this study, a bi‐level optimal bidding strategy is proposed in which community energy storage systems (CES) and community photovoltaic (CPV) generation are considered. Moreover, individual PV and CES are taken into account for each household. While optimal scheduling of prosumers is carried out at the lower level, the local clearing price considering the profit of Energy Sharing Provider (ESP) is obtained at the upper level. Furthermore, various case studies consisting of Peer‐to‐Grid (P2G), P2P, and CES‐supported P2P are created under different storage capacities. The devised mixed‐integer linear programming (MILP) based model is tested using each case study, validating the proposed model and proving its effectiveness.https://doi.org/10.1049/gtd2.12636 |
| spellingShingle | Tayfur Gokcek Ibrahim Sengor Barry P. Hayes Ozan Erdinc A hierarchical approach for P2P energy trading considering community energy storage and PV‐enriched system operator IET Generation, Transmission & Distribution |
| title | A hierarchical approach for P2P energy trading considering community energy storage and PV‐enriched system operator |
| title_full | A hierarchical approach for P2P energy trading considering community energy storage and PV‐enriched system operator |
| title_fullStr | A hierarchical approach for P2P energy trading considering community energy storage and PV‐enriched system operator |
| title_full_unstemmed | A hierarchical approach for P2P energy trading considering community energy storage and PV‐enriched system operator |
| title_short | A hierarchical approach for P2P energy trading considering community energy storage and PV‐enriched system operator |
| title_sort | hierarchical approach for p2p energy trading considering community energy storage and pv enriched system operator |
| url | https://doi.org/10.1049/gtd2.12636 |
| work_keys_str_mv | AT tayfurgokcek ahierarchicalapproachforp2penergytradingconsideringcommunityenergystorageandpvenrichedsystemoperator AT ibrahimsengor ahierarchicalapproachforp2penergytradingconsideringcommunityenergystorageandpvenrichedsystemoperator AT barryphayes ahierarchicalapproachforp2penergytradingconsideringcommunityenergystorageandpvenrichedsystemoperator AT ozanerdinc ahierarchicalapproachforp2penergytradingconsideringcommunityenergystorageandpvenrichedsystemoperator AT tayfurgokcek hierarchicalapproachforp2penergytradingconsideringcommunityenergystorageandpvenrichedsystemoperator AT ibrahimsengor hierarchicalapproachforp2penergytradingconsideringcommunityenergystorageandpvenrichedsystemoperator AT barryphayes hierarchicalapproachforp2penergytradingconsideringcommunityenergystorageandpvenrichedsystemoperator AT ozanerdinc hierarchicalapproachforp2penergytradingconsideringcommunityenergystorageandpvenrichedsystemoperator |