| 数据挖掘在电力系统暂态稳定评估中的应用综述 |
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| 引用本文： | 童晓阳,叶圣永. 数据挖掘在电力系统暂态稳定评估中的应用综述[J]. 电网技术, 2009, 33(20) |
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| 作者姓名： | 童晓阳 叶圣永 |
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| 作者单位： | 西南交通大学电气工程学院,四川省,成都市,610031;西南交通大学电气工程学院,四川省,成都市,610031 |
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| 摘 要： | 人工智能和数据挖掘在发现潜在问题和提高计算效率等方面有较大的优越性。综述了几年来人工智能与数据挖掘等技术应用于电力系统暂态稳定评估所取得的研究成果。对所涉及的主成分分析、遗传算法、粗糙集、信息熵等数据预处理方法,神经网络与支持向量机等分类器,可视化显示等方面的研究成果进行了深入的分析和比较,指出了存在的问题,并对以后的发展方向进行了一定的展望。
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| 关 键 词： | 电力系统 暂态稳定评估 人工智能 数据挖掘 |
A Survey on Application of Data Mining in Transient Stability Assessment of Power System |
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| TONG Xiao-yang,YE Sheng-yong. A Survey on Application of Data Mining in Transient Stability Assessment of Power System[J]. Power System Technology, 2009, 33(20) |
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| Authors: | TONG Xiao-yang YE Sheng-yong |
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| Affiliation: | TONG Xiao-yang,YE Sheng-yong(School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,Sichuan Province,China) |
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| Abstract: | Artificial intelligence and data mining possess obvious superiority in finding potential problems during online and offline transient stability assessment(TSA) and improving computational efficiency.In this paper,the progress of the research on applying artificial intelligence and data mining to TSA of power system in recent years is summarized.The research results of data preprocessing methods such as principal component analysis,genetic algorithm,rough set and information entropy concerning with the resea... |
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| Keywords: | power system transient stability assessment artificial intelligence data mining |
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