Distribution system state estimation using physics-guided deep learning approach

Author:

Raghuvamsi Y.,Teeparthi KiranORCID,D.M. Vinod Kumar,Abdul Imran,Parri Srihari

Publisher

Elsevier BV

Reference31 articles.

1. Situational awareness in distribution grid using micro-PMU data: A machine learning approach;Shahsavari;IEEE Trans. Smart Grid,2019

2. Locating the source of events in power distribution systems using micro-PMU data;Farajollahi;IEEE Trans. Power Syst.,2018

3. Power system state estimation: A survey;Wu;Int. J. Electr. Power Energy Syst.,1990

4. System state estimation considering EV penetration with unknown behavior using quasi-Newton method;Nie;IEEE Trans. Power Syst.,2016

5. Y. Weng, Q. Li, R. Negi, M. Ilić, Semidefinite programming for power system state estimation, in: 2012 IEEE Power and Energy Society General Meeting, 2012, pp. 1–8.

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