Prediction method and prediction system for predicting generating capacity of photovoltaic power generation system

A photovoltaic power generation system and forecasting method technology, applied in forecasting, instruments, data processing applications, etc., can solve the problems of limited cloud movement trajectory, increased forecasting error, limited forecasting time, etc.

Active Publication Date: 2017-09-05
HUAWEI TECH CO LTD
View PDF7 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, because the shape and trajectory of the cloud layer may change greatly over a long period of time, when a certain cloud layer does not enter or has left the current field of view of the sky imaging system, the analysis of the cloud trajectory before and after its appearance will generate The step effect increases the prediction error, making it impossible to predict the trajectory of the cloud during this period through the sky imaging system, which leads to the limited cloud trajectory obtained by the sky imaging system in the above prediction method, resulting in the photovoltaic system in the prior art. The forecasting method of the power generation system of the power generation system is within the allowable range of the forecast error, and the time that can be predicted is relatively limited, that is, the power generation capacity of the photovoltaic power generation system can only be predicted in a short period of time in the future (such as within 2 hours), and it cannot be predicted for a longer period of time. The power generation of the photovoltaic power generation system within a certain time period (such as outside 2 hours)

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Prediction method and prediction system for predicting generating capacity of photovoltaic power generation system
  • Prediction method and prediction system for predicting generating capacity of photovoltaic power generation system
  • Prediction method and prediction system for predicting generating capacity of photovoltaic power generation system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0085] As mentioned in the background technology section, the prediction method of the power generation of the photovoltaic power generation system in the prior art is within the allowable range of error, and the time for predicting the power generation of the photovoltaic power generation system is relatively limited.

[0086] In view of this, an embodiment of the present invention provides a method for predicting the power generation of a photovoltaic power generation system, the method comprising:

[0087] setting at least one first preset moment;

[0088] Collect the sky picture at the first preset time, and obtain the proportion of the cloud area in the sky area in the sky picture corresponding to the first preset time, and the corresponding sky area in the sky picture completely covers the photovoltaic power generation system The overall picture of the photovoltaic power station in China;

[0089] Substituting the ratio of the cloud layer area to the sky area in the sky...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiments of the invention disclose a prediction method and a prediction system for predicting the generating capacity of a photovoltaic power generation system. The prediction method comprises the following steps: estimating the proportion of the area of cloud in the sky in the sky area corresponding to a second preset moment according to the proportion of the area of cloud in the sky in the sky area corresponding to a first preset moment; calculating the total solar radiation at the second preset moment according to the proportion of the area of cloud in the sky in the sky area corresponding to the second preset moment; and finally, predicting the generating capacity of a photovoltaic power generation system at the second preset moment according to the total solar radiation and the temperature at the second preset moment. The error of the prediction method for predicting the generating capacity of a photovoltaic power generation system provided by the embodiments of the invention is within the allowable error range. The time range for prediction is extended.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation, in particular to a method and system for predicting the power generation of a photovoltaic power generation system. Background technique [0002] In recent years, more and more photovoltaic power generation systems have been connected to the grid for operation, but the randomness and intermittency of their power generation have increasingly prominent negative impacts on the economical, safe and reliable operation of the power system. Therefore, there is an urgent need for photovoltaic The power generation of the power generation system is accurately predicted so that corresponding technical measures can be taken to suppress or compensate fluctuations in photovoltaic power generation to ensure the economical, safe and reliable operation of the power system. [0003] At present, the short-term prediction method of photovoltaic power generation system mainly adopts the indirect...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 蔡涛刘方诚
Owner HUAWEI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products