期刊
IEEE TRANSACTIONS ON POWER SYSTEMS
卷 33, 期 1, 页码 681-690出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2017.2712762
关键词
Dynamic state Jacobian matrix; dynamic system state matrix; online dynamic stability monitoring; phasor measurement units; topological error identification
资金
- McGill University
- Skoltech Initiative
- Ministry of Education and Science of Russian Federation [14.615.21.0001, RFMEFI61514X0001]
In this paper, a hybrid measurement- and model-based method is proposed which can estimate the dynamic state Jacobian matrix and the dynamic system state matrix in near real time utilizing statistical properties extracted from PMU measurements. The proposed method can be used to detect and identify network topology changes that have not been reflected in an assumed network model. Additionally, an application of the estimated system state matrix in online dynamic stability monitoring is presented.
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