Open AccessResearch on distributed photovoltaic power prediction based on centralized photovoltaic output
Author(s) -
Xiaoxiao Huang,
Rongwei Fan,
Xinglin Guo,
Jian Chen,
Lingxu Guo,
Zhikang Yuan,
Kunyue Wang,
Jiaan Zhang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/467/1/012080
Subject(s) - photovoltaic system , irradiance , power (physics) , grid , computer science , maximum power point tracking , grid connected photovoltaic power system , electronic engineering , electrical engineering , engineering , mathematics , physics , voltage , optics , quantum mechanics , inverter , geometry
Distributed photovoltaic does not provide output data when it is connected to power grid due to cost constraints, which adversely affects power grid dispatching. Considering the solar irradiance correlation between output of centralized and distributed photovoltaic stations in a region, a method for predicting the output of distributed photovoltaic power generation is proposed. Sinusoid function is used to fit the output of unshielded photovoltaic system by using the least square method, and the unshielded coefficient is proposed to represent the variation of photovoltaic output. The output of distributed photovoltaic (DPV) can be predicted by combining the unshielded coefficient and the reference power curve. The method is verified by a provincial power grid in northern China, the results show that the method has high accuracy, especially for small fluctuations.