| 人工智能在电力系统恢复中的应用综述 |
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| 引用本文： | 刘玉田,孙润稼,王洪涛,顾雪平. 人工智能在电力系统恢复中的应用综述[J]. 山东大学学报(工学版), 2019, 49(5): 1-8. DOI: 10.6040/j.issn.1672-3961.0.2019.122 |
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| 作者姓名： | 刘玉田 孙润稼 王洪涛 顾雪平 |
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| 作者单位： | 1. 电网智能化调度与控制教育部重点实验室(山东大学), 山东 济南 2500612. 华北电力大学电气与电子工程学院, 河北 保定 071003 |
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| 基金项目： | 国家重点研发计划项目(2017YFB0902600) |
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| 摘 要： | 归纳总结专家系统、模糊数学、进化计算以及机器学习等人工智能方法应用于电力系统恢复的研究成果,指出现有研究仍以离线恢复方法为主,处于在线决策研究起步阶段,并展望人工智能技术在系统恢复中的应用潜力。
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| 关 键 词： | 电力系统恢复 专家系统 模糊数学 进化计算 机器学习 深度学习 |
| 收稿时间： | 2019-03-28 |
Review on application of artificial intelligence in power system restoration |
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| Yutian LIU,Runjia SUN,Hongtao WANG,Xueping GU. Review on application of artificial intelligence in power system restoration[J]. Journal of Shandong University of Technology, 2019, 49(5): 1-8. DOI: 10.6040/j.issn.1672-3961.0.2019.122 |
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| Authors: | Yutian LIU Runjia SUN Hongtao WANG Xueping GU |
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| Affiliation: | 1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China2. School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, Hebei, China |
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| Abstract: | The research results of expert system, fuzzy mathematics, evolutionary algorithm and machine learning in power system restoration were summarized. It was pointed out that the existing researches were mainly offline restoration method and the researches about online decision-making were in the initial stage. In addition, the application potential of artificial intelligence technology in system restoration was prospected. |
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| Keywords: | power system restoration expert system fuzzy mathematics evolutionary computation machine learning deep learning |
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