Title :
Photovoltaic plant metering monitoring model and its calibration and parameter assessment
Author :
Qianzhi Zhang ; Jianmin Zhang ; Chuangxin Guo
Author_Institution :
Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China
Abstract :
Photovoltaic plants are more and more widespread in the world, which should be monitored by their connected bulk power grid company. By using PV module manufacture non-confidential datasheet, a practical PV plant model based on so called “2C PV Module Model” for the power grid company´s metering system is provided. A comprehensive parameter K is introduced into the model, which can be calibrated by trial or optimization method by using historical operation data, with no need of collection of topographic connection data as well as the detailed efficient coefficient parameters of energy transmission and converting of the plant, therefore greatly decreasing the modeling expenditure. Two useful models, in names of, minimum power calculation model, and maximum possible power prediction model with MPPT algorithm, have been explored for the power generation prediction, metering error or plant improper operation means prevention. The parameter sensitivity of model is also discussed for parameter assessment. Such model is validated by two operated PV plants.
Keywords :
calibration; maximum power point trackers; optimisation; photovoltaic power systems; power grids; power system measurement; 2C PV module model; MPPT algorithm; PV module manufacture nonconfidential datasheet; bulk power grid company; calibration assessment; historical operation data; maximum possible power prediction; metering error; minimum power calculation model; optimization method; parameter assessment; parameter sensitivity; photovoltaic plant metering monitoring model; power generation prediction; power grid company metering system; trial method; Analytical models; Data models; Monitoring; Power generation; Power grids; Predictive models; Temperature measurement; MPPT; maximum possible power prediction model; metering system; minimum power calculation model; monitoring; parameter sensitivity analysis; photovoltaic plant; simple model with less parameters;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345016