Short-term power prediction method for photovoltaic power generation system

A photovoltaic power generation system, power prediction technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve problems such as uncertainty volatility, unfavorable power grid security scheduling and energy management, and increased risk of power grid operation

Inactive Publication Date: 2016-03-30
TIANJIN UNIV
View PDF3 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although photovoltaic power generation has been widely used due to its many advantages, due to the influence of environmental factors on photovoltaic power generation systems, there are character

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
  • Short-term power prediction method for photovoltaic power generation system
  • Short-term power prediction method for photovoltaic power generation system
  • Short-term power prediction method for photovoltaic power generation system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The technical scheme of the present invention is described in detail below

[0038] (1), reclassification of weather types

[0039] To establish a classification prediction model for photovoltaic power generation systems, it is necessary to divide historical data according to weather types, so as to establish corresponding prediction models. Current weather forecasts can divide weather types into sunny, cloudy, cloudy, rainy, snowy, foggy, etc. Too many category divisions will cause the feature vectors of the dataset to be too scattered, which will bring difficulties to the training of the model. Since the main natural factors that affect the output of photovoltaic systems are light intensity and ambient temperature, cloudy days, rain, snow, and smog with small fluctuations in light intensity and low average values ​​can be combined and processed according to whether the natural environment is continuous, stable, and average. The size of the numerical value, etc., div...

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 relates to a short-term power prediction method for a photovoltaic power generation system. The method comprises the steps of re-dividing weather types: according to the factors that whether the variables of the natural environment are continuous and stable or not and the averaged values of the variables, dividing weather types in the generalized point of view; determining a similar day of a to-be-predicted day: determining a generalized weather type corresponding to the to-be-predicted day according to weather factors, selecting a historical day similar to the to-be-predicted day according to the grey correlation method, adopting the photovoltaic power output of the historical day as a model input, and selecting daily weather feature vectors; defining the degree of similarity between the to-be-predicted day and the above particular historical day; establishing a photovoltaic power generation short-term power prediction model based on a support vector machine, and optimizing the parameters of the prediction model according to the genetic algorithm. The above precision method is high in precision, and fast in convergence.

Description

technical field [0001] The invention relates to a power prediction method of a photovoltaic power generation system. Background technique [0002] Facing the increasingly severe energy situation and increasingly embarrassing environmental protection status, China has formulated relevant policies and development plans to vigorously develop renewable energy, and solar energy, as a complex and renewable energy, has caused a large amount of technology research and development investment in the energy industry. Solar power generation has the advantages of safety and reliability, high energy quality, no risk of depletion, no pollution, and simple maintenance. It is an important direction for the development of renewable energy. Although photovoltaic power generation has been widely used due to its many advantages, due to the influence of environmental factors on photovoltaic power generation systems, there are characteristics such as uncertainty, volatility, and intermittence, whi...

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): G06K9/62G06N3/12
CPCG06N3/12G06F18/2411
Inventor 王继东宋智林孙佳文
Owner TIANJIN UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap