CIM/XML Format-Based SCADA Data Analysis and Application

Article Preview

Abstract:

With the putting forward and continuous expansion of the IEC 61970, the data interaction among heterogeneous system becomes possible, and continues to be put into practical application. In this paper, Firstly, CIM (common information model) was introduced, and the CIM/XML format was used to describe SCADA data. Secondly, SCADA data were analyzed and stored in database through the program. Finally, the specific application of analyzing SCADA data is described through the application in area of voltage Sag.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3040-3046

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Draft IEC 61970: Energy Management System Application Program Interface (EMS-API)-Part301: Common Information Model (CIM) Base, Revision6, 2001.

DOI: 10.3403/30276859

Google Scholar

[2] Draft IEC 61970: Energy Management System Application Program Interface (EMS-API)-Part501: CIM RDF Schema, Revision6, 2001.

DOI: 10.3403/30102736u

Google Scholar

[3] Xidong Liu, The Research and Application Based on XML data exchange [D]. Shandong: Shandong University, 2007:5. [In Chinese]

Google Scholar

[4] Aiping Wu, Jianyun Cheng, Zhijian Qu. The Implementation of Real-time database model SCADA system based on CIM [J]. Proceedings of the CSU-EPSA.

Google Scholar

[5] Diwei Xu. The Research of CIM XML/RDF files parsing on Distribution network management system [J]. Electric power education. [In Chinese]

Google Scholar

[6] Weimin Mi, Lingxiao Wei, Jing Qian. Scheduling system in the Beijing Electric Power Corporation grid model combination method based on the CIM XML [J]. Power System Technology, 2008:5. [In Chinese]

Google Scholar

[7] Lingqun Liu, Xiangning Xiao. Supply voltage sag domain analysis [J]. Modern power. [In Chinese]

Google Scholar

[8] Ganyun Lv,Xiaodong Wang .Voltage Sags Detection And Identification Based On Phase-Shift And RBF Neural Network Fuzzy Systems and Knowledge Discovery[C].China,2007.Volume 1:684- 688. [In Chinese]

DOI: 10.1109/fskd.2007.610

Google Scholar