Method and device for GRU-based medium and long-term prediction of irradiance of photovoltaic power station

A photovoltaic power station and irradiance technology, which is applied in the field of irradiance prediction, can solve problems such as the impact of irradiance prediction and the inability to provide guidance for medium and long-term planning and scheduling of power systems, so as to achieve rational utilization of resources and reduce equipment Loss, achieve simple effect

Inactive Publication Date: 2017-05-10
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, most of the existing irradiance predictions are short-term predictions, which cannot provide guidance for medium and long-term planning and scheduling of power systems.
Moreover, most of the current prediction methods need to collect meteorological data related to irradiance, such as temperature, humidity and cloud cover, etc. Errors in the process of collecting these additional data will have a certain impact on subsequent irradiance predictions

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
  • Method and device for GRU-based medium and long-term prediction of irradiance of photovoltaic power station
  • Method and device for GRU-based medium and long-term prediction of irradiance of photovoltaic power station
  • Method and device for GRU-based medium and long-term prediction of irradiance of photovoltaic power station

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] refer to figure 1 , a GRU-based mid-to-long-term prediction method for photovoltaic power plant irradiance disclosed in this embodiment, specifically includes the following steps:

[0047] Step K101: Collect solar irradiance data at the location of the photovoltaic power station.

[0048] The solar irradiance directly affects the power generated by the photovoltaic power station, and the solar irradiance data at the location of the photovoltaic power station needs to be collected in advance and stored in the local database. In the actual application of data input into the GRU threshold recurrent unit neural network model, the solar irradiance data to be called refers to medium and long-term data in the present invention, generally more than two years. In practical applications, irradiance data collection is generally carried out in real time.

[0049] Step K102: Load the solar irradiance data at the location of the photovoltaic power station collected in step K101 int...

Embodiment 2

[0065] For a structural block diagram of a medium- and long-term prediction device for photovoltaic power plant irradiance based on GRU disclosed in Embodiment 2 of the present invention, see image 3 ,include:

[0066] The collection module K301 is used to collect the data of the solar irradiance at the location of the designated photovoltaic power station.

[0067] In practical applications, the solar irradiance acquisition module needs to be installed reasonably at the location of the designated photovoltaic power station, and the installation position and angle of the module will have a certain impact on the data acquisition work. The type selection and installation of the collection module can be determined by those skilled in the art in an appropriate way, or by manual experience, which is not limited in the present invention.

[0068] The prediction module K302 uses the neural network model based on the GRU threshold recurrent unit to predict the irradiance of the phot...

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 discloses a method and a device for GRU-based medium and long-term prediction of irradiance of a photovoltaic power station, relates to methods and devices for medium and long-term prediction of the irradiance of the photovoltaic power station and belongs to the field of irradiance prediction. The method comprises the steps that solar irradiance data at the position of the photovoltaic power station is collected; the solar irradiance at the position of the photovoltaic power station is predicted based on a GRU (threshold recursion unit) neural network model; an electric power department performs medium and long-term planning and scheduling according to an obtained irradiance prediction result, reasonable utilization of resources is realized, and equipment loss and other problems caused by unreasonable increase of the installed capacity are reduced. The invention furthermore discloses the device for implementing the method. The device comprises a collection module, a prediction module and a decision making module. Based on the GRU (threshold recursion unit) neural network model, a memory function is achieved, and medium and long-term prediction of the irradiance of the photovoltaic power station can be realized. Besides, the method and the device also have the advantages of high accuracy, high efficiency and simple implementation.

Description

technical field [0001] The invention belongs to the technical field of irradiance prediction, and in particular relates to a method and device for mid- and long-term prediction of irradiance of a photovoltaic power station based on a GRU (gated recurrent unit, threshold recursive unit) neural network model. Background technique [0002] Due to the increasing popularity of photovoltaic power plants, solar irradiance prediction is becoming increasingly important. To ensure the stable operation of power systems, accurate irradiance prediction is crucial. [0003] However, most of the existing irradiance predictions are short-term predictions, which cannot provide guidance for medium and long-term planning and dispatching of power systems. Moreover, most of the current prediction methods need to collect meteorological data related to irradiance, such as temperature, humidity and cloud cover, etc. Errors in the process of collecting these additional data will have a certain impa...

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): G06Q10/04G06Q10/06G06Q50/06G06N3/04
CPCG06N3/04G06Q10/04G06Q10/06375G06Q50/06
Inventor 马中静汪小娟王鹏邵云峰陆志成杨楠
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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