Abstract
The widely used method of least squares for state estimation is revisited. The commonly used least squares philosophy is based on the L2 Hölder norm. The L1 and L∞ norms are considered for applications in power engineering. The effects of outliers in measurements and multicolinearity on state estimation are studied. An application in parameter estimation for synchronous generators is given as an example.
Original language | English (US) |
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Pages (from-to) | 699-712 |
Number of pages | 14 |
Journal | Electric Power Components and Systems |
Volume | 33 |
Issue number | 7 |
DOIs | |
State | Published - Jul 2005 |
Keywords
- Parameter estimation
- Power system state estimation
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Mechanical Engineering
- Electrical and Electronic Engineering