Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical Strategies
<p dir="ltr">The increase in the installation of distributed energy resources (DERs) globally has led to a remarkable transformation in the structure of smart grids due to the growing number of energy participants. Recently, electricity markets (EM) have received substantial attentio...
محفوظ في:
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| مؤلفون آخرون: | |
| منشور في: |
2024
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513541063573504 |
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| author | Anas Karaki (17947808) |
| author2 | Luluwah Al-Fagih (10063137) |
| author2_role | author |
| author_facet | Anas Karaki (17947808) Luluwah Al-Fagih (10063137) |
| author_role | author |
| dc.creator.none.fl_str_mv | Anas Karaki (17947808) Luluwah Al-Fagih (10063137) |
| dc.date.none.fl_str_mv | 2024-12-19T15:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2024.3436935 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Evolutionary_Game_Theory_as_a_Catalyst_in_Smart_Grids_From_Theoretical_Insights_to_Practical_Strategies/29907101 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Game theory evolutionary games electricity markets reinforcement learning multi-agent system dynamic populations Statistics Social factors Smart grids Reviews Power system dynamics Games Electricity supply industry Market research Reinforcement learning Multi-agent systems |
| dc.title.none.fl_str_mv | Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical Strategies |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The increase in the installation of distributed energy resources (DERs) globally has led to a remarkable transformation in the structure of smart grids due to the growing number of energy participants. Recently, electricity markets (EM) have received substantial attention as a viable solution for the complex issue of managing DERs. Modeling the power grid as a complex system of interacting components facilitates investigating the interaction among electricity producers and consumers to maintain the total generation and demand at a balance. In this work, we present a review of the recent advances in adopting evolutionary game theory (EGT), to mitigate challenges in the emerging smart grid, as a decision-making framework for trading dynamics and considering large populations. It includes a taxonomy of various EGT applications in energy trading dynamics, DER management, and policy and infrastructure development. Finally, the linkage between multi-agent reinforcement learning (MARL) and EGT is provided, highlighting their mathematical parallels in the context of smart grid applications.</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.2024.3436935" target="_blank">https://dx.doi.org/10.1109/access.2024.3436935</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_c99b86de7e7b950318a4ef032982d8f8 |
| identifier_str_mv | 10.1109/access.2024.3436935 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29907101 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical StrategiesAnas Karaki (17947808)Luluwah Al-Fagih (10063137)EngineeringElectrical engineeringGame theoryevolutionary gameselectricity marketsreinforcement learningmulti-agent systemdynamic populationsStatisticsSocial factorsSmart gridsReviewsPower system dynamicsGamesElectricity supply industryMarket researchReinforcement learningMulti-agent systems<p dir="ltr">The increase in the installation of distributed energy resources (DERs) globally has led to a remarkable transformation in the structure of smart grids due to the growing number of energy participants. Recently, electricity markets (EM) have received substantial attention as a viable solution for the complex issue of managing DERs. Modeling the power grid as a complex system of interacting components facilitates investigating the interaction among electricity producers and consumers to maintain the total generation and demand at a balance. In this work, we present a review of the recent advances in adopting evolutionary game theory (EGT), to mitigate challenges in the emerging smart grid, as a decision-making framework for trading dynamics and considering large populations. It includes a taxonomy of various EGT applications in energy trading dynamics, DER management, and policy and infrastructure development. Finally, the linkage between multi-agent reinforcement learning (MARL) and EGT is provided, highlighting their mathematical parallels in the context of smart grid applications.</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.2024.3436935" target="_blank">https://dx.doi.org/10.1109/access.2024.3436935</a></p>2024-12-19T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2024.3436935https://figshare.com/articles/journal_contribution/Evolutionary_Game_Theory_as_a_Catalyst_in_Smart_Grids_From_Theoretical_Insights_to_Practical_Strategies/29907101CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/299071012024-12-19T15:00:00Z |
| spellingShingle | Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical Strategies Anas Karaki (17947808) Engineering Electrical engineering Game theory evolutionary games electricity markets reinforcement learning multi-agent system dynamic populations Statistics Social factors Smart grids Reviews Power system dynamics Games Electricity supply industry Market research Reinforcement learning Multi-agent systems |
| status_str | publishedVersion |
| title | Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical Strategies |
| title_full | Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical Strategies |
| title_fullStr | Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical Strategies |
| title_full_unstemmed | Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical Strategies |
| title_short | Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical Strategies |
| title_sort | Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical Strategies |
| topic | Engineering Electrical engineering Game theory evolutionary games electricity markets reinforcement learning multi-agent system dynamic populations Statistics Social factors Smart grids Reviews Power system dynamics Games Electricity supply industry Market research Reinforcement learning Multi-agent systems |