A method for ultra-short-term forecasting of photovoltaic power generation power

An ultra-short-term forecasting, photovoltaic power station technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as forecast failure, affecting the ultra-short-term forecasting accuracy of photovoltaic power generation power, and improve accuracy, optimize and adjust real-time grid scheduling plans , the effect of reducing spinning reserve capacity

Active Publication Date: 2017-12-29
NARI TECH CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In practical engineering applications, once the input data source is temporarily interrupted, the prediction at that moment will fail, affecting the ultra-short-term prediction accuracy of the photovoltaic power generation power.

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 method for ultra-short-term forecasting of photovoltaic power generation power
  • A method for ultra-short-term forecasting of photovoltaic power generation power
  • A method for ultra-short-term forecasting of photovoltaic power generation power

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The technical scheme of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0024] An ultra-short-term forecasting method for photovoltaic power generation power, the overall flow chart is as follows figure 1 shown, including the following steps:

[0025] Step 1: Obtain historical measured power data and short-term predicted power data of photovoltaic power plants;

[0026] Step 2: Preprocessing the historical measured power data and short-term predicted power data of the photovoltaic power plant to remove invalid data;

[0027] Step 3: According to the preprocessed historical measured power data and short-term predicted power data of photovoltaic power plants, use the ultra-short-term forecast model of photovoltaic powe...

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 generated power super-short-term prediction method. The method includes the following steps that firstly, historical measured power data and short-term predicted power data of a photovoltaic power station are acquired; secondly, the historical measured power data and the short-term predicted power data of the photovoltaic power station are preprocessed; thirdly, according to the preprocessed historical measured power data and the preprocessed short-term predicted power data of the photovoltaic power station, super-short-term prediction powers, corresponding to different prediction periods, of the photovoltaic power station are acquired through a photovoltaic power station generated power super-short-term prediction model based on the prediction periods; fourthly, according to the acquired super-short-term prediction powers of the photovoltaic power station, the optimal prediction period of the photovoltaic power station generated power super-short-term prediction model is determined; fifthly, super-short-term power prediction of the photovoltaic power station is conducted based on the photovoltaic power station generated power super-short-term prediction model based on the optimal prediction period. According to the method, the photovoltaic power station generated power super-short-term prediction accuracy is improved.

Description

technical field [0001] The invention relates to a method for ultra-short-term forecasting of photovoltaic power generation power, and belongs to the technical field of photovoltaic power generation forecasting. Background technique [0002] Under the pressure of the increasing shortage of global fossil energy and the deteriorating environmental pollution, rational development of renewable energy and improvement of energy utilization are the key to solving the increasingly prominent energy demand growth, energy shortage, and energy utilization in the process of rapid economic and social development in our country. The inevitable choice of contradiction between environmental protection and environmental protection. As a renewable green and clean energy, solar energy is gradually favored by various countries, and photovoltaic power generation has developed rapidly. However, due to the intermittent, fluctuating and periodic characteristics of photovoltaic power generation, the ...

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): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 李科张国建郭彦飞周永华郭宇能梁进
Owner NARI 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