A Data-driven Method for Estimating Parameter Uncertainty in PMU-based Power Plant Model Validation

被引：0
|
作者：
Eisenbarth, Jacob [1 ]
Wold, Josh [1 ]
机构：
[1] Montana Technol Univ, Butte, MT 59701 USA
来源：
2020 IEEE KANSAS POWER AND ENERGY CONFERENCE (KPEC) | 2020年
关键词：
Bootstrapping; Model Validation; Monte Carlo; Parameter Estimation and Uncertainty;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Event-based, online power plant model validation is an important component in economical maintenance of power grid reliability. It is well-known that any given event will not excite all portions of a power plant model, so those portions cannot be considered validated. This paper introduces a method to provide quantitative information about the uncertainty of model parameters for a given event. This information can be used to identify the portions of a model that should be considered validated and those that will require additional events to validate.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] A Data-Driven Model for Wind Plant Power Optimization by Yaw Control
    Gebraad, P. M. O.
    Teeuwisse, F. W.
    van Wingerden, J. W.
    Fleming, P. A.
    Ruben, S. D.
    Marden, J. R.
    Pao, L. Y.
    2014 AMERICAN CONTROL CONFERENCE (ACC), 2014, : 3128 - 3134
  • [22] A Data-Driven Deterministic Forecast-Based Probabilistic Method for Uncertainty Estimation of Wind Power Generation
    N. Kirthika
    K. I. Ramachandran
    Sasi K. Kottayil
    Arabian Journal for Science and Engineering, 2022, 47 : 14147 - 14162
  • [23] Data-driven Based Uncertainty Set Modeling Method for Microgrid Robust Optimization with Correlated Wind Power
    Li, Xinchen
    Liu, Yixin
    Guo, Li
    Li, Xialin
    Wang, Chengshan
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2023, 9 (02): : 420 - 432
  • [24] A Data-Driven Deterministic Forecast-Based Probabilistic Method for Uncertainty Estimation of Wind Power Generation
    KirthikanAff, N.
    Ramachandran, K., I
    Kottayil, Sasi K.
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2022, 47 (11) : 14147 - 14162
  • [25] Modeling of Nonlinear SOEC Parameter System Based on Data-Driven Method
    Hou, Dehao
    Ma, Wenjun
    Hu, Lingyan
    Huang, Yushui
    Yu, Yunjun
    Wan, Xiaofeng
    Wu, Xiaolong
    Li, Xi
    ATMOSPHERE, 2023, 14 (09)
  • [26] A Data-Driven Optimization Method Considering Data Correlations for Optimal Power Flow Under Uncertainty
    Hu, Ren
    Li, Qifeng
    IEEE ACCESS, 2023, 11 : 32041 - 32050
  • [27] A novel data-driven model based parameter estimation of nonlinear systems
    Ge, Xiaobiao
    Luo, Zhong
    Ma, Ying
    Liu, Haopeng
    Zhu, Yunpeng
    JOURNAL OF SOUND AND VIBRATION, 2019, 453 : 188 - 200
  • [28] A “data-driven uncertainty” computational method to model and predict instabilities of a frictional system
    Farouk Maaboudallah
    Noureddine Atalla
    Advanced Modeling and Simulation in Engineering Sciences, 10
  • [29] A "data-driven uncertainty" computational method to model and predict instabilities of a frictional system
    Maaboudallah, Farouk
    Atalla, Noureddine
    ADVANCED MODELING AND SIMULATION IN ENGINEERING SCIENCES, 2023, 10 (01)
  • [30] Data-Driven Model Validation Across Dimensions
    Renardy, Marissa
    Wessler, Timothy
    Blemker, Silvia
    Linderman, Jennifer
    Peirce, Shayn
    Kirschner, Denise
    BULLETIN OF MATHEMATICAL BIOLOGY, 2019, 81 (06) : 1853 - 1866
12345