Planning distribution network using the multi-agent game and distribution system operators
When planning the distribution network, the income of each market entity is calculated by a fixed price. How to take the price of power into account while developing the planning strategy for each organization in the actual power market is an urgent issue that needs to be addressed imminently. To ad...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1244394/full |
| _version_ | 1827889273970360320 |
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| author | Jiangnan Li Tao Wang Shouquan Tang Jiru Jiang Shuyao Chen |
| author_facet | Jiangnan Li Tao Wang Shouquan Tang Jiru Jiang Shuyao Chen |
| author_sort | Jiangnan Li |
| collection | DOAJ |
| description | When planning the distribution network, the income of each market entity is calculated by a fixed price. How to take the price of power into account while developing the planning strategy for each organization in the actual power market is an urgent issue that needs to be addressed imminently. To address this problem, considering the continuous change in the market price due to the change in the supply–demand relationship in the actual power market, this article proposes a distribution network planning method which considers the distribution system operator (DSO) and multi-agent game. First, the planning decision model of distribution network companies and power users with different interest subjects is constructed with grid planning and DG operation as decision variables. Second, DSO is introduced to the game framework. Based on the distribution locational marginal pricing (DLMP), a price accounting model is being developed. Then, the transfer relationships and game behavior among the distribution company, power users, and DSO are analyzed. Finally, an iterative search algorithm is used to solve a multi-agent game planning model of a distribution network that takes into account price signals in the power market. Examples based on IEEE 33-bus systems validate the suggested method’s validity and efficacy. |
| first_indexed | 2024-03-12T20:54:09Z |
| format | Article |
| id | doaj.art-05fe468145f146ff9aaacc9fef9c52f9 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-12T20:54:09Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-05fe468145f146ff9aaacc9fef9c52f92023-07-31T21:35:01ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-07-011110.3389/fenrg.2023.12443941244394Planning distribution network using the multi-agent game and distribution system operatorsJiangnan Li0Tao Wang1Shouquan Tang2Jiru Jiang3Shuyao Chen4Shenzhen Power Supply Company, China Southern Power Grid, Shenzhen, ChinaElectric Power Research Institute, China Southern Power Grid, Guangzhou, ChinaShenzhen Power Supply Company, China Southern Power Grid, Shenzhen, ChinaShenzhen Power Supply Company, China Southern Power Grid, Shenzhen, ChinaShenzhen Power Supply Company, China Southern Power Grid, Shenzhen, ChinaWhen planning the distribution network, the income of each market entity is calculated by a fixed price. How to take the price of power into account while developing the planning strategy for each organization in the actual power market is an urgent issue that needs to be addressed imminently. To address this problem, considering the continuous change in the market price due to the change in the supply–demand relationship in the actual power market, this article proposes a distribution network planning method which considers the distribution system operator (DSO) and multi-agent game. First, the planning decision model of distribution network companies and power users with different interest subjects is constructed with grid planning and DG operation as decision variables. Second, DSO is introduced to the game framework. Based on the distribution locational marginal pricing (DLMP), a price accounting model is being developed. Then, the transfer relationships and game behavior among the distribution company, power users, and DSO are analyzed. Finally, an iterative search algorithm is used to solve a multi-agent game planning model of a distribution network that takes into account price signals in the power market. Examples based on IEEE 33-bus systems validate the suggested method’s validity and efficacy.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1244394/fulldistribution network planningDSODLMPmulti-agent gameiterative search algorithm |
| spellingShingle | Jiangnan Li Tao Wang Shouquan Tang Jiru Jiang Shuyao Chen Planning distribution network using the multi-agent game and distribution system operators Frontiers in Energy Research distribution network planning DSO DLMP multi-agent game iterative search algorithm |
| title | Planning distribution network using the multi-agent game and distribution system operators |
| title_full | Planning distribution network using the multi-agent game and distribution system operators |
| title_fullStr | Planning distribution network using the multi-agent game and distribution system operators |
| title_full_unstemmed | Planning distribution network using the multi-agent game and distribution system operators |
| title_short | Planning distribution network using the multi-agent game and distribution system operators |
| title_sort | planning distribution network using the multi agent game and distribution system operators |
| topic | distribution network planning DSO DLMP multi-agent game iterative search algorithm |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1244394/full |
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