Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control
With integration of large-scale renewable energy, new controllable devices, and required reinforcement of power grids, modern power systems have typical characteristics such as uncertainty, vulnerability and openness, which makes operation and control of power grids face severe security challenges....
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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China electric power research institute
2024-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10375976/ |
| _version_ | 1797216156467068928 |
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| author | Shixiong Fan Jianbo Guo Shicong Ma Lixin Li Guozheng Wang Haotian Xu Jin Yang Zening Zhao |
| author_facet | Shixiong Fan Jianbo Guo Shicong Ma Lixin Li Guozheng Wang Haotian Xu Jin Yang Zening Zhao |
| author_sort | Shixiong Fan |
| collection | DOAJ |
| description | With integration of large-scale renewable energy, new controllable devices, and required reinforcement of power grids, modern power systems have typical characteristics such as uncertainty, vulnerability and openness, which makes operation and control of power grids face severe security challenges. Application of artificial intelligence (AI) technologies represented by machine learning in power grid regulation is limited by reliability, interpretability and generalization ability of complex modeling. Mode of hybrid-augmented intelligence (HAI) based on human-machine collaboration (HMC) is a pivotal direction for future development of AI technology in this field. Based on characteristics of applications in power grid regulation, this paper discusses system architecture and key technologies of human-machine hybrid-augmented intelligence (HHI) system for large-scale power grid dispatching and control (PGDC). First, theory and application scenarios of HHI are introduced and analyzed; then physical and functional architectures of HHI system and human-machine collaborative regulation process are proposed. Key technologies are discussed to achieve a thorough integration of human/machine intelligence. Finally, state-of-the-art and future development of HHI in power grid regulation are summarized, aiming to efficiently improve the intelligent level of power grid regulation in a human-machine interactive and collaborative way. |
| first_indexed | 2024-04-24T11:41:29Z |
| format | Article |
| id | doaj.art-437991eb9f4c4468a72cbc53b3dcacd6 |
| institution | Directory Open Access Journal |
| issn | 2096-0042 |
| language | English |
| last_indexed | 2024-04-24T11:41:29Z |
| publishDate | 2024-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| series | CSEE Journal of Power and Energy Systems |
| spelling | doaj.art-437991eb9f4c4468a72cbc53b3dcacd62024-04-09T19:47:18ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422024-01-0110111210.17775/CSEEJPES.2023.0094010375976Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and ControlShixiong Fan0Jianbo Guo1Shicong Ma2Lixin Li3Guozheng Wang4Haotian Xu5Jin Yang6Zening Zhao7China Electric Power Research Institute,Beijing,China,100192China Electric Power Research Institute,Beijing,China,100192China Electric Power Research Institute,Beijing,China,100192China Electric Power Research Institute,Beijing,China,100192Beijing Huairou Laboratory,Beijing,China,101400China Electric Power Research Institute,Beijing,China,100192School of Engineering the University of Glasgow,Glasgow,UK,G12 8QQChina Electric Power Research Institute,Beijing,China,100192With integration of large-scale renewable energy, new controllable devices, and required reinforcement of power grids, modern power systems have typical characteristics such as uncertainty, vulnerability and openness, which makes operation and control of power grids face severe security challenges. Application of artificial intelligence (AI) technologies represented by machine learning in power grid regulation is limited by reliability, interpretability and generalization ability of complex modeling. Mode of hybrid-augmented intelligence (HAI) based on human-machine collaboration (HMC) is a pivotal direction for future development of AI technology in this field. Based on characteristics of applications in power grid regulation, this paper discusses system architecture and key technologies of human-machine hybrid-augmented intelligence (HHI) system for large-scale power grid dispatching and control (PGDC). First, theory and application scenarios of HHI are introduced and analyzed; then physical and functional architectures of HHI system and human-machine collaborative regulation process are proposed. Key technologies are discussed to achieve a thorough integration of human/machine intelligence. Finally, state-of-the-art and future development of HHI in power grid regulation are summarized, aiming to efficiently improve the intelligent level of power grid regulation in a human-machine interactive and collaborative way.https://ieeexplore.ieee.org/document/10375976/Artificial intelligencehuman-machine collaborative controlhuman-machine hybrid intelligenceoptimization and evolutionpower grid dispatching and control |
| spellingShingle | Shixiong Fan Jianbo Guo Shicong Ma Lixin Li Guozheng Wang Haotian Xu Jin Yang Zening Zhao Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control CSEE Journal of Power and Energy Systems Artificial intelligence human-machine collaborative control human-machine hybrid intelligence optimization and evolution power grid dispatching and control |
| title | Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control |
| title_full | Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control |
| title_fullStr | Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control |
| title_full_unstemmed | Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control |
| title_short | Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control |
| title_sort | framework and key technologies of human machine hybrid augmented intelligence system for large scale power grid dispatching and control |
| topic | Artificial intelligence human-machine collaborative control human-machine hybrid intelligence optimization and evolution power grid dispatching and control |
| url | https://ieeexplore.ieee.org/document/10375976/ |
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