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Measurement-Based Estimation of the Power Flow Jacobian Matrix.
- Source :
- IEEE Transactions on Smart Grid; Sep2016, Vol. 7 Issue 5, p2507-2515, 9p
- Publication Year :
- 2016
-
Abstract
- In this paper, we propose a measurement-based method to compute the power flow Jacobian matrix, from which we can infer pertinent information about the system topology in near real-time. A salient feature of our approach is that it readily adapts to changes in system operating point and topology; this is desirable as it provides power system operators with a way to update, as the system evolves, the models used in many reliability analysis tools. The method uses high-speed synchronized voltage and current phasor data collected from phasor measurement units to estimate entries of the Jacobian matrix through linear total least-squares (TLS) estimation. In addition to centralized TLS-based algorithms, we provide distributed alternatives aimed at reducing computational burden. Through numerical case studies, we illustrate the effectiveness of our proposed Jacobian-matrix estimation approach as compared with the conventional model-based one. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 19493053
- Volume :
- 7
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Smart Grid
- Publication Type :
- Academic Journal
- Accession number :
- 117618638
- Full Text :
- https://doi.org/10.1109/TSG.2015.2502484