IRFLMDNN: hybrid model for PMU data anomaly detection and re-filling with improved random forest and Levenberg Marquardt algorithm optimized dynamic neural network

Author:

Yu MiaoORCID,Yang Chenyu,Li Weize,Du Weijie,Li Jinglin

Funder

State Key Laboratory of Pyramid Talent Training Project of Beijing University of Civil Engineering and Architecture

BUCEA Post Graduate Innovation Project

Security Control and Simulation for Power System and Large Power Generation Equipment

Project of Beijing Association of Higher Education

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference43 articles.

1. Phadke AG, Thorp JS (2008) Synchronized phasor measurements and their applications. Springer, New York, p 81

2. Phadke AG, Bi T (2018) Phasor measurement units, WAMS, and their applications in protection and control of power systems. J Mod Power Syst Clean Energy 6(4):619–629

3. Duan G, Yan Y, Xie X, Tao H, Yang D, Li J (2015) Development status quo and tendency of wide area phasor measuring technology. Autom Electr Power Syst 39(1):73–80 (in Chinese)

4. Xu F, Xue A, Chang N, Kong H, Xu J (2021) Research status and prospects of detection, correction and recovery for abnormal synchrophasor data in power system. Proc CSEE 41(20):6869–6886 (in Chinese)

5. Zhang Q, Vittal V, Heydt GT, Logic N, Sturgill S (2011) The integrated calibration of synchronized phasor measurement data in power transmission systems. IEEE Trans Power Delivery 26(4):2573–2581

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