Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning
To meet the demand of scalability and decision-making foresight of the traditional dispatching automation system in the new power system, a novel pre-dispatching method of new generation dispatching and control was proposed. First, the power grid digital twin was established in the description subsy...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Shanghai Jiao Tong University
2021-12-01
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| Series: | Shanghai Jiaotong Daxue xuebao |
| Subjects: | |
| Online Access: | http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-S2-37.shtml |
| _version_ | 1798027151321071616 |
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| author | WANG Xingzhi, ZHAI Haibao, YAN Yaqin, WU Qingxi |
| author_facet | WANG Xingzhi, ZHAI Haibao, YAN Yaqin, WU Qingxi |
| author_sort | WANG Xingzhi, ZHAI Haibao, YAN Yaqin, WU Qingxi |
| collection | DOAJ |
| description | To meet the demand of scalability and decision-making foresight of the traditional dispatching automation system in the new power system, a novel pre-dispatching method of new generation dispatching and control was proposed. First, the power grid digital twin was established in the description subsystem layer, which can reflect the state of power grid primary equipment, secondary equipment, and environment. Then, in the prediction subsystem level, the deep learning models were used to learn and predict future situation or accident risk of power grid operation in power grid digital twin. Finally, the feasibility of the proposed method was verified by the implementation example of East China Grid. The application results show that the pre-dispatching method improves the efficiency of system in dealing with the operation control problems of the new power system, which also provides a useful reference for comprehensive construction, popularization, and application of new generation power systems. |
| first_indexed | 2024-04-11T18:46:44Z |
| format | Article |
| id | doaj.art-d216bee6ff9b407dbcd16524d037374c |
| institution | Directory Open Access Journal |
| issn | 1006-2467 |
| language | zho |
| last_indexed | 2024-04-11T18:46:44Z |
| publishDate | 2021-12-01 |
| publisher | Editorial Office of Journal of Shanghai Jiao Tong University |
| record_format | Article |
| series | Shanghai Jiaotong Daxue xuebao |
| spelling | doaj.art-d216bee6ff9b407dbcd16524d037374c2022-12-22T04:08:45ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672021-12-0155S2374110.16183/j.cnki.jsjtu.2021.S2.006Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep LearningWANG Xingzhi, ZHAI Haibao, YAN Yaqin, WU Qingxi01. East Branch of State Grid Corporation of China, Shanghai 200120, China;2. National Power Dispatching Control Center, Beijing 100031, China;3. Nari Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, ChinaTo meet the demand of scalability and decision-making foresight of the traditional dispatching automation system in the new power system, a novel pre-dispatching method of new generation dispatching and control was proposed. First, the power grid digital twin was established in the description subsystem layer, which can reflect the state of power grid primary equipment, secondary equipment, and environment. Then, in the prediction subsystem level, the deep learning models were used to learn and predict future situation or accident risk of power grid operation in power grid digital twin. Finally, the feasibility of the proposed method was verified by the implementation example of East China Grid. The application results show that the pre-dispatching method improves the efficiency of system in dealing with the operation control problems of the new power system, which also provides a useful reference for comprehensive construction, popularization, and application of new generation power systems.http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-S2-37.shtmldigital twindeep learningpre-dispatchingnew generation dispatching and control system |
| spellingShingle | WANG Xingzhi, ZHAI Haibao, YAN Yaqin, WU Qingxi Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning Shanghai Jiaotong Daxue xuebao digital twin deep learning pre-dispatching new generation dispatching and control system |
| title | Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning |
| title_full | Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning |
| title_fullStr | Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning |
| title_full_unstemmed | Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning |
| title_short | Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning |
| title_sort | pre dispatching method of new generation dispatching and control system based on digital twin and deep learning |
| topic | digital twin deep learning pre-dispatching new generation dispatching and control system |
| url | http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-S2-37.shtml |
| work_keys_str_mv | AT wangxingzhizhaihaibaoyanyaqinwuqingxi predispatchingmethodofnewgenerationdispatchingandcontrolsystembasedondigitaltwinanddeeplearning |