| Autor: |
Radhakrishnan Srinivasan, Manu Parashar, Naresh Acharya, Chaitanya Ashok Baone, Mustafa Tekin Dokucu, J.J. Sanchez-Gasca, Anup Menon, Anil Jampala, Brian Thomas |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 IEEE Power & Energy Society General Meeting (PESGM). |
| DOI: |
10.1109/pesgm.2018.8586550 |
| Popis: |
This paper proposes a solution for dynamic model validation and calibration leveraging measurement data. The proposed solution is designed to meet key engineering challenges associated with implementing a generic and scalable solution, and can work across multiple dynamic simulation engines with minimal exchange of information. A nonlinear least squares based parameter estimation formulation is considered and its benefits over some of the variants of Kalman filters are discussed. The efficacy of the proposed algorithm is demonstrated on realistic dynamic models of a variety of power plants and measurement data provided by NERC. Finally, an envisioned product implementation accounting for practical implementation challenges is presented. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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