Decentralized PV Energy Trading: A Case Study of Residential Households in Qatar
<p dir="ltr">This paper describes a peer-to-peer (P2P) energy trading market framework based on game theory and agent-based modeling (ABM) that enables owners of photovoltaic (PV) systems to sell the electricity they produce to neighbors and the grid. Energy is traded at a rate deter...
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2024
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| _version_ | 1864513540078960640 |
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| author | Nassma Mohandes (17983741) |
| author2 | Sertac Bayhan (16388511) Antonio Sanfilippo (127041) Haitham Abu-Rub (16855500) |
| author2_role | author author author |
| author_facet | Nassma Mohandes (17983741) Sertac Bayhan (16388511) Antonio Sanfilippo (127041) Haitham Abu-Rub (16855500) |
| author_role | author |
| dc.creator.none.fl_str_mv | Nassma Mohandes (17983741) Sertac Bayhan (16388511) Antonio Sanfilippo (127041) Haitham Abu-Rub (16855500) |
| dc.date.none.fl_str_mv | 2024-10-28T15:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2024.3479270 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Decentralized_PV_Energy_Trading_A_Case_Study_of_Residential_Households_in_Qatar/30094462 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Economics Applied economics Engineering Electrical engineering Agent-based modeling electricity market evolutionary game game theoretical models M-leader N-follower Stackelberg game peer-to-peer trading (P2P) Games Game theory Electricity Data models Buildings Batteries Renewable energy sources Energy exchange Distributed power generation Costs |
| dc.title.none.fl_str_mv | Decentralized PV Energy Trading: A Case Study of Residential Households in Qatar |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">This paper describes a peer-to-peer (P2P) energy trading market framework based on game theory and agent-based modeling (ABM) that enables owners of photovoltaic (PV) systems to sell the electricity they produce to neighbors and the grid. Energy is traded at a rate determined by local energy producers and consumers. The energy price is dynamic and depends on changes in the generation-to-demand ratio throughout the day. The amount of excess energy produced is listed in the market by all available sellers, along with the generation type, price, and location. The market framework was tested using multiple scenarios, which were determined by including battery storage, reduction of subsidies for non-renewable energy, introduction of a carbon tax, and increasing PV capacity to study outcomes of solar PV trading. The results suggest that when greater PV capacity is assumed, the benefits of trading increase, and a larger proportion of household demand is met locally without the need to buy energy from the grid. Adding battery storage to the system enhances trading, provides more energy for sale, and reduces the amount of energy purchased from the grid. The model presented can be scaled up to model several neighborhoods or an entire city.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3479270" target="_blank">https://dx.doi.org/10.1109/access.2024.3479270</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_a4651b1983d217d8ee7d4a3d42dd1072 |
| identifier_str_mv | 10.1109/access.2024.3479270 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30094462 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Decentralized PV Energy Trading: A Case Study of Residential Households in QatarNassma Mohandes (17983741)Sertac Bayhan (16388511)Antonio Sanfilippo (127041)Haitham Abu-Rub (16855500)EconomicsApplied economicsEngineeringElectrical engineeringAgent-based modelingelectricity marketevolutionary gamegame theoretical modelsM-leaderN-follower Stackelberg gamepeer-to-peer trading (P2P)GamesGame theoryElectricityData modelsBuildingsBatteriesRenewable energy sourcesEnergy exchangeDistributed power generationCosts<p dir="ltr">This paper describes a peer-to-peer (P2P) energy trading market framework based on game theory and agent-based modeling (ABM) that enables owners of photovoltaic (PV) systems to sell the electricity they produce to neighbors and the grid. Energy is traded at a rate determined by local energy producers and consumers. The energy price is dynamic and depends on changes in the generation-to-demand ratio throughout the day. The amount of excess energy produced is listed in the market by all available sellers, along with the generation type, price, and location. The market framework was tested using multiple scenarios, which were determined by including battery storage, reduction of subsidies for non-renewable energy, introduction of a carbon tax, and increasing PV capacity to study outcomes of solar PV trading. The results suggest that when greater PV capacity is assumed, the benefits of trading increase, and a larger proportion of household demand is met locally without the need to buy energy from the grid. Adding battery storage to the system enhances trading, provides more energy for sale, and reduces the amount of energy purchased from the grid. The model presented can be scaled up to model several neighborhoods or an entire city.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3479270" target="_blank">https://dx.doi.org/10.1109/access.2024.3479270</a></p>2024-10-28T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2024.3479270https://figshare.com/articles/journal_contribution/Decentralized_PV_Energy_Trading_A_Case_Study_of_Residential_Households_in_Qatar/30094462CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300944622024-10-28T15:00:00Z |
| spellingShingle | Decentralized PV Energy Trading: A Case Study of Residential Households in Qatar Nassma Mohandes (17983741) Economics Applied economics Engineering Electrical engineering Agent-based modeling electricity market evolutionary game game theoretical models M-leader N-follower Stackelberg game peer-to-peer trading (P2P) Games Game theory Electricity Data models Buildings Batteries Renewable energy sources Energy exchange Distributed power generation Costs |
| status_str | publishedVersion |
| title | Decentralized PV Energy Trading: A Case Study of Residential Households in Qatar |
| title_full | Decentralized PV Energy Trading: A Case Study of Residential Households in Qatar |
| title_fullStr | Decentralized PV Energy Trading: A Case Study of Residential Households in Qatar |
| title_full_unstemmed | Decentralized PV Energy Trading: A Case Study of Residential Households in Qatar |
| title_short | Decentralized PV Energy Trading: A Case Study of Residential Households in Qatar |
| title_sort | Decentralized PV Energy Trading: A Case Study of Residential Households in Qatar |
| topic | Economics Applied economics Engineering Electrical engineering Agent-based modeling electricity market evolutionary game game theoretical models M-leader N-follower Stackelberg game peer-to-peer trading (P2P) Games Game theory Electricity Data models Buildings Batteries Renewable energy sources Energy exchange Distributed power generation Costs |