数据挖掘技术在电力系统暂态稳定预测中的应用

2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings Pub Date : 2004-04-05 DOI:10.1109/DRPT.2004.1338527

X. Tao, H. Renmu, Wang Peng, Xu Dongjie

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引用次数: 16

摘要

提出了一种测量与仿真装置历史数据的数据挖掘框架。以暂态稳定预测为例，建立了数据挖掘流程。暂态稳定的数据市场是由各种数据源建立起来的。数据市场便于在线分析处理。同时，基于数据市场可以构建多种数据挖掘模型。我们可以获得更多关于电力系统暂态稳定的知识。采用IEEE 39总线测试系统验证了该方法的有效性。

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Applications of data mining technique for power system transient stability prediction

This paper presents a data mining framework for the historical data of measurement and simulation units. Taking example for transient stability prediction, this paper establishes a data mining flow. The data market of transient stability is built up by all kinds of data sources. The data market is convenient for online analytical processing. At the same time, many model of data mining can be constructed based on the data market. We can acquire more knowledge of the power system transient stability. The IEEE 39-Bus test system is employed to demonstrate the validity of the proposed approach.

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来源期刊

2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings

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