Name
Abstract | ||
|---|---|---|
This paper proposes an application of the cubature Kalman filter (CKF) to the power system dynamic state estimation (PSDSE) utilizing the measurements from the remote terminal units as well as the phasor measurement units. The CKF process utilizes the spherical cubature and Gaussian quadrature rules to estimate the probability density functions of the state space and the measurement space. This he... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIM.2017.2677698 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Power measurement,Phasor measurement units,Kalman filters,Power system dynamics,Voltage measurement,Measurement uncertainty,Estimation | Units of measurement,Control theory,Phasor,Measurement uncertainty,Electric power system,Hessian matrix,Control engineering,Electronic engineering,Kalman filter,State space,Linearization,Mathematics | Journal |
Volume | Issue | ISSN |
66 | 8 | 0018-9456 |
Citations | PageRank | References |
1 | 0.36 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sharma, A. | 1 | 2 | 2.15 |
| S. C. Srivastava | 2 | 87 | 12.71 |
| Saikat Chakrabarti | 3 | 188 | 21.86 |