Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A real-time prediction method and device for photovoltaic system power generation

A technology for generating power and photovoltaic system, which is applied in the field of real-time forecasting of photovoltaic system power generation, which can solve the problems of inaccurate calculation and big data computing resources, and achieve the effects of improving computing accuracy, dispersing computing resources, and improving computing efficiency.

Active Publication Date: 2020-10-27
SOLWAY ONLINE BEIJING NEW ENERGY TECH CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, this technology needs to consume a large amount of data computing resources. On the other hand, the modeling based on a large amount of historical data actually smooths out the different power generation characteristics of different dates in the historical data, and the calculation is not accurate.

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
  • A real-time prediction method and device for photovoltaic system power generation
  • A real-time prediction method and device for photovoltaic system power generation
  • A real-time prediction method and device for photovoltaic system power generation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] see figure 1 , a method for real-time prediction of power generation by a photovoltaic system provided in this embodiment, comprising the following steps:

[0062] S101. Obtain historical weather data on a specified date, and classify the historical weather data into historical weather data corresponding to different weather types according to weather types.

[0063] Specifically, in this step, the historical weather forecast data of the city where the photovoltaic power station is located is obtained, and the weather is classified into several categories such as "clear", "cloudy", "cloudy", "rainy", "snowy", etc. A fixed mode, because the daily cumulative radiation has a great influence on the power generation of photovoltaic power plants, so the characteristics of the illumination data under different weather modes are analyzed, such as figure 2 As shown, to judge whether there is a significant difference in the daily cumulative radiation under different weather pat...

Embodiment 2

[0113] Based on the above method for real-time prediction of photovoltaic system power generation, the present invention also provides a real-time prediction device for photovoltaic system power generation, characterized in that the device includes:

[0114] The historical data acquisition module is used to obtain the historical weather forecast data and historical photovoltaic power plant operation data of the place where the photovoltaic power station generates electricity;

[0115] A time synchronization module, configured to classify the historical weather data into historical weather data corresponding to different weather types according to the weather type; and establish a mapping relationship between the historical photovoltaic power plant operating data and the weather type at the corresponding time;

[0116] The data processing module is used to add data tags to the daily operating data of photovoltaic power plants; obtain historical weather data under different weath...

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 invention provides a method and a device for real-time prediction of generation power of a photovoltaic system. The method includes steps: A, acquiring historical weather data of a specified date and historical photovoltaic power station running date of the corresponding date; B, classifying the historical weather data according to weather types into historical weather data corresponding to different weather type, building a mapping relation between the historical photovoltaic power station running data and the weather types of corresponding time, and adding a data label for daily photovoltaic station running data; C, acquiring the historical weather data in different weather types corresponding to the historical photovoltaic station running data according to the data labels, and performing data cleaning and normalization processing on the historical weather data; D, respectively acquiring photovoltaic system generation power real-time prediction models corresponding to different weather types according to processed data; selecting the photovoltaic system generation power real-time prediction model corresponding to current weather type to predict current generation of the photovoltaic system. In this way, generation power prediction accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of renewable energy, in particular to a method and device for real-time prediction of power generated by a photovoltaic system. Background technique [0002] The theoretical power generation calculation of photovoltaic system has high practical value in the field of photovoltaic power generation. High-precision and real-time power generation calculation results, on the one hand, can help power station owners discover problems such as power station failures or performance degradation in a timely manner, and quantify the loss of power generation caused by problems; Photovoltaic power generation users defrauded of high subsidies realize effective supervision, and timely discover abnormal situations where the on-grid power is significantly higher than the expected power generation. [0003] Photovoltaic power generation is a multi-variable coupled nonlinear process, the most important variables of which are sol...

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 Patents(China)
IPC IPC(8): G06F17/15
CPCG06Q10/04G06Q50/06Y04S10/50Y02A30/00
Inventor 孙翰墨申烛郭宗军
Owner SOLWAY ONLINE BEIJING NEW ENERGY TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com