Photovoltaic power station efficiency attenuation prediction method

A technology of efficiency attenuation and prediction method, applied in the direction of instruments, data processing applications, information technology support systems, etc., can solve the problem of not being able to grasp the decline trend and time of photovoltaic power station efficiency, reducing investor income, and difficult to further propose accurate and reliable performance of photovoltaic power station evaluation methods, etc.

Active Publication Date: 2016-12-07
HOHAI UNIV CHANGZHOU
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the inability to grasp the decline trend and time of the efficiency of photovoltaic power plants, it is difficult to further propose accurate and reliable performance evaluation methods for photovoltaic power plants, resulting in the failu

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
  • Photovoltaic power station efficiency attenuation prediction method
  • Photovoltaic power station efficiency attenuation prediction method
  • Photovoltaic power station efficiency attenuation prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0119]1. The data used in this example is collected from the outdoor 10kWp actual measurement platform of Hohai University. First, the original sample data on November 3, 2014 was selected, and a set of data was extracted every 1 minute during the time period from 8:00AM to 4:00PM. A total of 480 sets were used as measured samples, and their power signals were denoised. The original power signal curve as figure 2 As shown, the processing process is as follows image 3 as shown, image 3 Among them, s is the original power signal, a4 is the main signal, d1, d2, d3, and d4 are 4 kinds of Gaussian white noise doped in different frequencies in the main signal, and 5 signals overlap to form the original power signal, s=a 4 +d 1 +d 2 +d 3 +d 4 , the power signal curve after denoising is as follows Figure 4 shown. It can be seen that the sample curve after denoising eliminates the interference of external noise signals, the overall smoothness increases, and the burrs disapp...

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 photovoltaic power station efficiency attenuation prediction method. The method comprises the steps that firstly, actually-measured power station operating environment parameters and output power are selected as actually-measured samples; a power station simulation platform is established, the environment parameters of the actually-measured samples are input into the simulation platform, and simulation samples under corresponding environment parameters are obtained; the power of the two sets of samples is regarded as a signal source, an actually-measured power signal and a simulated power signal are denoised, and data obtained after denoising is used for calculating power station output efficiency EFF values at corresponding moments; the obtained EFF value sequence is decomposed through an EMD method, and all the EFF values obtained after decomposition through the EMD method are stored as a historical sequence; sample points are drawn from the historical sequence and input into an efficiency attenuation prediction model, and predicted values are obtained. The method overcomes the defect that through an existing model, photovoltaic power station efficiency attenuation under different outdoor conditions is not predicted sufficiently, and the method is beneficial for market-oriented operation of a photovoltaic power station and further achievement of failure prediction and healthy management technologies of the photovoltaic power station.

Description

technical field [0001] The invention relates to a method for predicting efficiency attenuation of a photovoltaic power station, which belongs to the technical field of photovoltaic power generation. Background technique [0002] With the rapid development of photovoltaic power generation technology, the number of photovoltaic power plants that have been built or are under construction in the country is increasing day by day, and the scale is becoming larger and larger, but the problems in the operation process are also constantly highlighted. [0003] First of all, the downstream competition in the photovoltaic industry is fierce, and the operation of power stations is not ideal. As the price of photovoltaic products continues to fall, enterprises have turned their attention to the downstream of the industry to seize the photovoltaic power station market. However, in the process of fierce market competition, it is inevitable that some operating companies will be eliminated,...

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
IPC IPC(8): G06Q50/06
CPCG06Q50/06Y02E40/70Y04S10/50
Inventor 丁坤刘振飞高列王越丁汉祥冯莉覃思宇
Owner HOHAI UNIV CHANGZHOU
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