A Decentralized Game Theoretic Approach for Virtual Storage System Aggregation in a Residential Community
The current electricity market is better described as an oligopoly than a market of perfect competition from which, in fact, it may be rather far. The increasing penetration of residential distributed energy resources has led to a significant number of prosumers in the electricity market. Microgrid...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9741419/ |
| _version_ | 1828949955819077632 |
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| author | Mohamad Aziz Hanane Dagdougui Issmail Elhallaoui |
| author_facet | Mohamad Aziz Hanane Dagdougui Issmail Elhallaoui |
| author_sort | Mohamad Aziz |
| collection | DOAJ |
| description | The current electricity market is better described as an oligopoly than a market of perfect competition from which, in fact, it may be rather far. The increasing penetration of residential distributed energy resources has led to a significant number of prosumers in the electricity market. Microgrid community, a group of single controllable entity prosumers, is a promising component of the smart grid which will potentially yield a free electricity market. In this paper, we present a novel formation for a residential community microgrid that includes a coalition of prosumer households with solar photovoltaic systems. These households are connected through a virtual power bank that consists of households’ storage batteries and that mediates the communications between the households and the main grid. Using an application of mean field game theory, we find Nash Equilibrium strategies under which such sharing could minimize a linear combination of the households’ energy generation cost, energy consumption cost and revenue of sold energy. The resulting approach is tested on a case study of a constructed community micro-grid in Montreal, Quebec, Canada. The proposed mean field game approach can help decrease the aggregated cost and the individual energy cost. A comparative analytical study on the benefit of sharing was also performed, demonstrating that each prosumer is expected to have at least a 40 percent reduction on their individual cost if belonging to a microgrid community of 100 prosumers located in Montreal city. |
| first_indexed | 2024-12-14T06:16:20Z |
| format | Article |
| id | doaj.art-4ab18fc3591045f685599ed11d86b3fd |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T06:16:20Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4ab18fc3591045f685599ed11d86b3fd2022-12-21T23:14:01ZengIEEEIEEE Access2169-35362022-01-0110348463485710.1109/ACCESS.2022.31621439741419A Decentralized Game Theoretic Approach for Virtual Storage System Aggregation in a Residential CommunityMohamad Aziz0https://orcid.org/0000-0002-8091-8158Hanane Dagdougui1https://orcid.org/0000-0001-7500-0468Issmail Elhallaoui2Department of Mathematical and Industrial Engineering, GERAD, Polytechnique Montreal, Montreal, QC, CanadaDepartment of Mathematical and Industrial Engineering, GERAD, Polytechnique Montreal, Montreal, QC, CanadaDepartment of Mathematical and Industrial Engineering, GERAD, Polytechnique Montreal, Montreal, QC, CanadaThe current electricity market is better described as an oligopoly than a market of perfect competition from which, in fact, it may be rather far. The increasing penetration of residential distributed energy resources has led to a significant number of prosumers in the electricity market. Microgrid community, a group of single controllable entity prosumers, is a promising component of the smart grid which will potentially yield a free electricity market. In this paper, we present a novel formation for a residential community microgrid that includes a coalition of prosumer households with solar photovoltaic systems. These households are connected through a virtual power bank that consists of households’ storage batteries and that mediates the communications between the households and the main grid. Using an application of mean field game theory, we find Nash Equilibrium strategies under which such sharing could minimize a linear combination of the households’ energy generation cost, energy consumption cost and revenue of sold energy. The resulting approach is tested on a case study of a constructed community micro-grid in Montreal, Quebec, Canada. The proposed mean field game approach can help decrease the aggregated cost and the individual energy cost. A comparative analytical study on the benefit of sharing was also performed, demonstrating that each prosumer is expected to have at least a 40 percent reduction on their individual cost if belonging to a microgrid community of 100 prosumers located in Montreal city.https://ieeexplore.ieee.org/document/9741419/Smart gridmicrogridoptimizationdecentralized controldecentralized mean field game theorydynamical game |
| spellingShingle | Mohamad Aziz Hanane Dagdougui Issmail Elhallaoui A Decentralized Game Theoretic Approach for Virtual Storage System Aggregation in a Residential Community IEEE Access Smart grid microgrid optimization decentralized control decentralized mean field game theory dynamical game |
| title | A Decentralized Game Theoretic Approach for Virtual Storage System Aggregation in a Residential Community |
| title_full | A Decentralized Game Theoretic Approach for Virtual Storage System Aggregation in a Residential Community |
| title_fullStr | A Decentralized Game Theoretic Approach for Virtual Storage System Aggregation in a Residential Community |
| title_full_unstemmed | A Decentralized Game Theoretic Approach for Virtual Storage System Aggregation in a Residential Community |
| title_short | A Decentralized Game Theoretic Approach for Virtual Storage System Aggregation in a Residential Community |
| title_sort | decentralized game theoretic approach for virtual storage system aggregation in a residential community |
| topic | Smart grid microgrid optimization decentralized control decentralized mean field game theory dynamical game |
| url | https://ieeexplore.ieee.org/document/9741419/ |
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