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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Miller, W. Lewis, J. |
| Copyright Year | 1963 |
| Abstract | Estimation of the dynamic state of a power system is the first prerequisite for control and stability prediction under transient conditions. Since the magnetic flux linkages which characterize the instantaneous state of the machines and the system are not directly measurable, a variable-dimension stage-invariant Kalman filter was developed and used to estimate the state of the system based on measurements at each individual machine of instantaneous field and armature current, field and armature voltage, and angular deviation of machine rotor shaft from a synchronous phasor reference. Gaussian white noise in the measurements was assumed, and the filter provided a recursive near-optimal minimum variance estimate of the state of the nonlinear system. |
| Sponsorship | IEEE Control Systems Society |
| Starting Page | 841 |
| Ending Page | 846 |
| Page Count | 6 |
| File Size | 889060 |
| File Format | |
| ISSN | 00189286 |
| Volume Number | 16 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1971-12-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power system dynamics State estimation Power systems Power system stability Power system transients Magnetic field measurement Power system measurements Current measurement Power system control Magnetic variables control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications |
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