{
"$type": "site.standard.document",
"description": "The present disclosure provides a method and system for power prediction of a photovoltaic power station based on operating data of grid-connected inverters, including: constructing a photovoltaic module model according to parameters of a photovoltaic module in a photovoltaic power station…",
"path": "/patents/1294088",
"publishedAt": "2021-06-24T00:00:00.000Z",
"site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
"tags": [
"H02S50/00",
"SHANDONG UNIVERSITY"
],
"textContent": "The present disclosure provides a method and system for power prediction of a photovoltaic power station based on operating data of grid-connected inverters, including: constructing a photovoltaic module model according to parameters of a photovoltaic module in a photovoltaic power station; constructing a power prediction model based on an artificial neural network algorithm; acquiring output data of a photovoltaic array when being shaded by static shadows of different thicknesses and different shading areas, constructing a training set to train the power prediction model, and obtaining a trained power prediction model; and acquiring, classifying, and normalizing output powers in real-time operating data of an inverter when the photovoltaic array is under a clear sky condition, and predicting a output power of the entire photovoltaic power station by using the trained power prediction model, the power prediction including a rolling prediction of the output power of the photovoltaic power station under a clear sky condition and a minute-level power prediction of the photovoltaic power station when being shaded by a dynamic cloud cluster. The present disclosure reduces a device cost and overcomes the defect that cloud clusters of different thicknesses affect the precision of power prediction of the photovoltaic array.",
"title": "METHOD AND SYSTEM FOR POWER PREDICTION OF PHOTOVOLTAIC POWER STATION BASED ON OPERATING DATA OF GRID-CONNECTED INVERTERS"
}