Open AccessModelling and validating photovoltaic power inverter model for power system stability analysis
Author(s) -
Ma Jin,
Zhao DaWei,
Qian MinHui,
Zhu LingZhi,
Geng Hua
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0603
Subject(s) - photovoltaic system , stability (learning theory) , inverter , computer science , power (physics) , maximum power point tracking , credibility , electric power system , electricity , mains electricity , reliability engineering , engineering , electrical engineering , machine learning , physics , quantum mechanics , law , political science
This study presents model development and validation of the photovoltaic (PV) power using the real test data. The major contributions of this research are in two‐fold: First, the western electricity coordinating council (WECC) PV power plant model is discussed through comparison with tested data from one commercial PV inverter in China. The WECC PV model is modified and the improvement can provide more holistic view on the PV power plant dynamics. Second, the hybrid data simulation method is applied to validate the validity of the generic PV power model based on the real‐test data. The model simulation outputs are compared with the real measurements under typical scenarios. The research results presented in the study propose the application range for the generic PV power model for the electromechanic related stability analysis. Furthermore, the study also proposes the model improvement suggestions to increase the model credibility in simulating large system stability dynamics.