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Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient Conditions

Authors :
Jinpeng Guo
Xiaozhe Wang
Boon-Teck Ooi
Source :
IEEE Access, Vol 8, Pp 96878-96887 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

In this paper, an online model-free method is proposed to estimate the dynamic model of a power system with distributed renewable energy sources (RES). The proposed method, requiring no knowledge of network topology and model parameters, is computationally efficient and can be implemented online. The impact of missing PMUs is evaluated in detail, which shows that most entries of the dynamic model can still be well estimated in the case of missing PMUs. Simulation studies in the modified IEEE 68-bus system demonstrate that the proposed method can provide accurate estimation of the dynamic model in different operating conditions. The method can help detect topology change even when some PMUs are lost.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.fa2dce94014541e88d37cbc8190ebe17
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2020.2997291