Research on the influence of resilient grid learning ability on power system
In recent years, as the penetration rate of renewable energy has become higher and higher, the amount of power electronic equipment access has increased, and the power system has shown obvious “double high” characteristics, this puts forward higher requirements for the safe and stable operation of t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-05-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721011598 |
| _version_ | 1811258022483197952 |
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| author | Chenhong Huang Zhen Zheng Xiaoli Ma Huamin Yan Min Wang Zongyin Fan |
| author_facet | Chenhong Huang Zhen Zheng Xiaoli Ma Huamin Yan Min Wang Zongyin Fan |
| author_sort | Chenhong Huang |
| collection | DOAJ |
| description | In recent years, as the penetration rate of renewable energy has become higher and higher, the amount of power electronic equipment access has increased, and the power system has shown obvious “double high” characteristics, this puts forward higher requirements for the safe and stable operation of the power system. Based on the current background and research, this paper starts with the concept of resilient grid and studies the influence of the learning ability of resilient grid on the power system. First of all, this article analyzes the driving factors of learning ability from two perspectives of scientific and technological progress and policy orientation. Among them, scientific and technological progress includes internal driving and external driving, and policy orientation includes macro-level and micro-level; Secondly, this paper studies the influence of various factors on the restoration of the distribution network and the power market, and proves it through calculation examples; Finally, this paper summarizes and looks forward to the significance and role of learning driving factors in the construction of new power systems. |
| first_indexed | 2024-04-12T18:06:44Z |
| format | Article |
| id | doaj.art-f119deae723540faa340136ef7f36767 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-12T18:06:44Z |
| publishDate | 2022-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-f119deae723540faa340136ef7f367672022-12-22T03:21:59ZengElsevierEnergy Reports2352-48472022-05-0184350Research on the influence of resilient grid learning ability on power systemChenhong Huang0Zhen Zheng1Xiaoli Ma2Huamin Yan3Min Wang4Zongyin Fan5State Grid Shanghai Qingpu Electric Power Supply Company, Shanghai, 201700, ChinaState Grid Shanghai Qingpu Electric Power Supply Company, Shanghai, 201700, ChinaState Grid Shanghai Qingpu Electric Power Supply Company, Shanghai, 201700, ChinaState Grid Shanghai Qingpu Electric Power Supply Company, Shanghai, 201700, ChinaCollege of Energy and Electrical Engineering, Hohai University, Nanjing, 211100, China; Corresponding author.College of Energy and Electrical Engineering, Hohai University, Nanjing, 211100, ChinaIn recent years, as the penetration rate of renewable energy has become higher and higher, the amount of power electronic equipment access has increased, and the power system has shown obvious “double high” characteristics, this puts forward higher requirements for the safe and stable operation of the power system. Based on the current background and research, this paper starts with the concept of resilient grid and studies the influence of the learning ability of resilient grid on the power system. First of all, this article analyzes the driving factors of learning ability from two perspectives of scientific and technological progress and policy orientation. Among them, scientific and technological progress includes internal driving and external driving, and policy orientation includes macro-level and micro-level; Secondly, this paper studies the influence of various factors on the restoration of the distribution network and the power market, and proves it through calculation examples; Finally, this paper summarizes and looks forward to the significance and role of learning driving factors in the construction of new power systems.http://www.sciencedirect.com/science/article/pii/S2352484721011598Resilient gridLearning abilityThe restoration of networkThe electricity market |
| spellingShingle | Chenhong Huang Zhen Zheng Xiaoli Ma Huamin Yan Min Wang Zongyin Fan Research on the influence of resilient grid learning ability on power system Energy Reports Resilient grid Learning ability The restoration of network The electricity market |
| title | Research on the influence of resilient grid learning ability on power system |
| title_full | Research on the influence of resilient grid learning ability on power system |
| title_fullStr | Research on the influence of resilient grid learning ability on power system |
| title_full_unstemmed | Research on the influence of resilient grid learning ability on power system |
| title_short | Research on the influence of resilient grid learning ability on power system |
| title_sort | research on the influence of resilient grid learning ability on power system |
| topic | Resilient grid Learning ability The restoration of network The electricity market |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721011598 |
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