Calibrating Synchronous-Generator-Interfaced DG Models in Microgrids Using Multiple Event Data
- Washington State University
- Virginia Tech
- Beijing Jiaotong University
- BATTELLE (PACIFIC NW LAB)
- DOE
Microgrids, consisting of distributed generators (DGs), loads, and energy storage systems, play an important role in future smart grids. In order to evaluate how microgrids operate and their dynamic response, it is necessary to develop accurate dynamic models of DGs in microgrids. This paper proposes a systematic method to calibrate synchronous-generator-interfaced DG models. Challenges associated with model validation in microgrids are analyzed. Underlying parameters are categorized into two groups, i.e., the steady-state parameters and time constants, which are estimated in two successive stages using multiple event data. This methodology ensures that the validated model with the estimated parameters are applicable for all events. A modified unscented Kalman filter (UKF) is proposed to deal with the cases in which measurement of power angle is unavailable. The effectiveness of the proposed method is validated using field test data of a 2.6 MVA diesel generator in a real microgrid.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1607646
- Report Number(s):
- PNNL-SA-140537
- Journal Information:
- International Journal of Electrical Power & Energy Systems, Vol. 120
- Country of Publication:
- United States
- Language:
- English
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