Open AccessReview on model validation and parameter estimation approaches of wind power generators
Author(s) -
Hu YiLiang,
Wu YuanKang
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0761
Subject(s) - wind power , sensitivity (control systems) , electric power system , computer science , stability (learning theory) , estimation theory , power (physics) , estimation , calibration , reliability engineering , control theory (sociology) , engineering , mathematics , statistics , algorithm , systems engineering , machine learning , physics , control (management) , quantum mechanics , electronic engineering , artificial intelligence , electrical engineering
For the power system planning and operation, the accuracy of the dynamic simulation results plays an important role. To ensure the efficient and reliable operation of the power system, the mismatch between the simulated response and the actual response should be smaller than a threshold value. Therefore, the researches on the model validation and parameter calibration of the generating units have been widely discussed in the past decades. In the recent years, the installation number of the wind turbines (WTs) and wind farms in the modern power system is increasing significantly. Considering the impact of the wind power generation on the power system stability, the WT model should be integrated into the dynamic simulation of the power system. Thus, the research on the WT model validation and parameter estimation is the latest trend. This study gives an overall review of WT equivalent models for the parameter estimation problems in the literature. Because the parameter estimation is regarded as the optimisation problem, this study also summarises the optimisation algorithms utilised in most research. Finally, the approaches of the sensitivity analysis applied to reduce the search domain of the optimisation problem are reviewed in this study.