Architecture and Key Technologies of Hybrid-Intelligence-Based Decision-Making of Operation Modes for New Type Power Systems
With the construction of new type power systems, the number of operating scenarios and computational workload that need to be considered in analyzing operation modes increases greatly, the safety and stability mechanism becomes more complex, the uncertainty of the safe operation boundary increases,...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2023-09-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202308102 |
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| author | Qinglai GUO Jian LAN Yanzhen ZHOU Zhengcheng WANG Hongtai ZENG Hongbin SUN |
| author_facet | Qinglai GUO Jian LAN Yanzhen ZHOU Zhengcheng WANG Hongtai ZENG Hongbin SUN |
| author_sort | Qinglai GUO |
| collection | DOAJ |
| description | With the construction of new type power systems, the number of operating scenarios and computational workload that need to be considered in analyzing operation modes increases greatly, the safety and stability mechanism becomes more complex, the uncertainty of the safe operation boundary increases, and the difficulty of adjusting operating mode increases significantly. The traditional decision-making method based on human experience is facing major challenges. Artificial intelligence provides new solutions but still faces challenges such as insufficient samples, poor interpretability, low exploration efficiency, etc. Focusing on the specific problems of the operation mode decision-making of the new type power systems, this paper proposes a research framework for operation mode decision-making of the new type power systems based on hybrid intelligence. The analysis and discussion are carried out from four aspects: sample generation of operation mode, analysis of the safety boundary and stability influencing factors, intelligent adjusting of operation mode, model interpretability and update, which provide a feasible technology path for applying hybrid intelligence to new type power systems. |
| format | Article |
| id | doaj-art-fbda994b3a93414380246be3aec5ab27 |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2023-09-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-fbda994b3a93414380246be3aec5ab272025-08-20T02:47:37ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492023-09-0156911310.11930/j.issn.1004-9649.202308102zgdl-56-09-guoqinglaiArchitecture and Key Technologies of Hybrid-Intelligence-Based Decision-Making of Operation Modes for New Type Power SystemsQinglai GUO0Jian LAN1Yanzhen ZHOU2Zhengcheng WANG3Hongtai ZENG4Hongbin SUN5Department of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaWith the construction of new type power systems, the number of operating scenarios and computational workload that need to be considered in analyzing operation modes increases greatly, the safety and stability mechanism becomes more complex, the uncertainty of the safe operation boundary increases, and the difficulty of adjusting operating mode increases significantly. The traditional decision-making method based on human experience is facing major challenges. Artificial intelligence provides new solutions but still faces challenges such as insufficient samples, poor interpretability, low exploration efficiency, etc. Focusing on the specific problems of the operation mode decision-making of the new type power systems, this paper proposes a research framework for operation mode decision-making of the new type power systems based on hybrid intelligence. The analysis and discussion are carried out from four aspects: sample generation of operation mode, analysis of the safety boundary and stability influencing factors, intelligent adjusting of operation mode, model interpretability and update, which provide a feasible technology path for applying hybrid intelligence to new type power systems.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202308102new type power systemsoperation mode analysishybrid intelligenceknowledge discovery |
| spellingShingle | Qinglai GUO Jian LAN Yanzhen ZHOU Zhengcheng WANG Hongtai ZENG Hongbin SUN Architecture and Key Technologies of Hybrid-Intelligence-Based Decision-Making of Operation Modes for New Type Power Systems Zhongguo dianli new type power systems operation mode analysis hybrid intelligence knowledge discovery |
| title | Architecture and Key Technologies of Hybrid-Intelligence-Based Decision-Making of Operation Modes for New Type Power Systems |
| title_full | Architecture and Key Technologies of Hybrid-Intelligence-Based Decision-Making of Operation Modes for New Type Power Systems |
| title_fullStr | Architecture and Key Technologies of Hybrid-Intelligence-Based Decision-Making of Operation Modes for New Type Power Systems |
| title_full_unstemmed | Architecture and Key Technologies of Hybrid-Intelligence-Based Decision-Making of Operation Modes for New Type Power Systems |
| title_short | Architecture and Key Technologies of Hybrid-Intelligence-Based Decision-Making of Operation Modes for New Type Power Systems |
| title_sort | architecture and key technologies of hybrid intelligence based decision making of operation modes for new type power systems |
| topic | new type power systems operation mode analysis hybrid intelligence knowledge discovery |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202308102 |
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