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Operation pattern recognition via Mass data in bulk transmission grid

In bulk transmission grid, big quantity of data is accumulated, but is not effectively utilized. In this paper, a data-driven analysis framework for operation pattern recognition is proposed, which makes use of mass data in bulk transmission grid to dig deeper underlying information. The concept of...

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Main Authors:	Xianzhuang Liu, Wei Hu, Le Zheng, Yong Min, Xialing Xu, Yong Li, Rui Yu
Format:	Conference Proceeding
Language:	English
Subjects:	Bulk transmission grid clustering Clustering algorithms Clustering methods Data visualization data-driven analysis Load flow Maintenance engineering operation pattern Power system stability
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creator	Xianzhuang Liu Wei Hu Le Zheng Yong Min Xialing Xu Yong Li Rui Yu
description	In bulk transmission grid, big quantity of data is accumulated, but is not effectively utilized. In this paper, a data-driven analysis framework for operation pattern recognition is proposed, which makes use of mass data in bulk transmission grid to dig deeper underlying information. The concept of operation pattern is put forward, and the two sub-patterns of the operation pattern are defined. Then procedure for operation pattern recognition is introduced, which adopts clustering as the main algorithm. Furthermore, the algorithm details are discussed. Finally the proposed method is tested on a real grid, visualized results are given.
doi_str_mv	10.1109/PESGM.2017.8273832
format	conference_proceeding
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ispartof	2017 IEEE Power & Energy Society General Meeting, 2017, p.1-5
issn	1944-9933
language	eng
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source	IEEE Xplore All Conference Series
subjects	Bulk transmission grid clustering Clustering algorithms Clustering methods Data visualization data-driven analysis Load flow Maintenance engineering operation pattern Power system stability
title	Operation pattern recognition via Mass data in bulk transmission grid
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