The Application of Artificial Intelligence Technology in Smart Energy
At present, the development of energy system tends to be clean and intelligent. China has upgraded the development of smart energy to national strategy. As the core link of energy system, power system is widely used, with strong regulation ability and complex control, especially with the increasing...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_01037.pdf |
| _version_ | 1818448510237802496 |
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| author | Jiang Xiaotao Zhao Ming Xin Liu Wei Xu Ruo Bing |
| author_facet | Jiang Xiaotao Zhao Ming Xin Liu Wei Xu Ruo Bing |
| author_sort | Jiang Xiaotao |
| collection | DOAJ |
| description | At present, the development of energy system tends to be clean and intelligent. China has upgraded the development of smart energy to national strategy. As the core link of energy system, power system is widely used, with strong regulation ability and complex control, especially with the increasing proportion of new energy and various forms of consumption. Now the power system presents the characteristics of complex nonlinearity, strong uncertainty and strong coupling. There are many limitations in traditional modeling, optimization and control technology, and artificial intelligence technology will be an effective measure to solve the control and decision-making problems of complex system. Firstly, this paper analyzes the application prospect of artificial intelligence technology in power system and the application of artificial intelligence technology in power grid operation. It establishes the prediction model of power grid operation mode, the model can help operators of power system quickly adjust the power flow to convergence state, and then greatly improve the calculation efficiency of power grid operation mode. |
| first_indexed | 2024-12-14T20:20:39Z |
| format | Article |
| id | doaj.art-97020d28e25b4406ae01cbb7300ffe83 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-14T20:20:39Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-97020d28e25b4406ae01cbb7300ffe832022-12-21T22:48:45ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011850103710.1051/e3sconf/202018501037e3sconf_iceeb2020_01037The Application of Artificial Intelligence Technology in Smart EnergyJiang Xiaotao0Zhao Ming Xin1Liu Wei2Xu Ruo Bing3State Gird Nanjing Power Supply CompanyDepartment, China Electric Power Research InstituteDepartment, China Electric Power Research InstituteState Gird Nanjing Power Supply CompanyAt present, the development of energy system tends to be clean and intelligent. China has upgraded the development of smart energy to national strategy. As the core link of energy system, power system is widely used, with strong regulation ability and complex control, especially with the increasing proportion of new energy and various forms of consumption. Now the power system presents the characteristics of complex nonlinearity, strong uncertainty and strong coupling. There are many limitations in traditional modeling, optimization and control technology, and artificial intelligence technology will be an effective measure to solve the control and decision-making problems of complex system. Firstly, this paper analyzes the application prospect of artificial intelligence technology in power system and the application of artificial intelligence technology in power grid operation. It establishes the prediction model of power grid operation mode, the model can help operators of power system quickly adjust the power flow to convergence state, and then greatly improve the calculation efficiency of power grid operation mode.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_01037.pdf |
| spellingShingle | Jiang Xiaotao Zhao Ming Xin Liu Wei Xu Ruo Bing The Application of Artificial Intelligence Technology in Smart Energy E3S Web of Conferences |
| title | The Application of Artificial Intelligence Technology in Smart Energy |
| title_full | The Application of Artificial Intelligence Technology in Smart Energy |
| title_fullStr | The Application of Artificial Intelligence Technology in Smart Energy |
| title_full_unstemmed | The Application of Artificial Intelligence Technology in Smart Energy |
| title_short | The Application of Artificial Intelligence Technology in Smart Energy |
| title_sort | application of artificial intelligence technology in smart energy |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_01037.pdf |
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