Research of State Estimation in Power Network Based on Data Mining Technology

Abstract:

In this paper, a new method that extracting and fixing load characteristic curve in the power system network state estimation is proposed, based on the combination of The data mining technology in the critical meams assorts algorithm and effective index standards. In the course of the study, this paper put forward a new algorithm ,which simulates used matlab software programming and combined with the actual load data, and extracts load characteristic curve for amended. Revised characteristic curve will serve as a typical load model used to add system state estimation of pseudo measure. The simulation results fully support that the proposed method is rational and effective.

• Periodical: Applied Mechanics and Materials (Volumes 448-453)
• Pages: 2594-2598
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.448-453.2594
• Online since: October 2013
• Authors: Guo Yan Liang, Yang Gao, Liu Zhang, Ao Ran Xu*
• Keywords: Data Mining (DM), K-Means Algorithm, Load Characteristic Curve

References

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