Research method of renewable energy power plant active power prediction error correlation

A technology for renewable energy and output forecasting, applied to load forecasting, circuit devices, and AC network circuits in AC networks

Inactive Publication Date: 2016-05-18
STATE GRID CORP OF CHINA +2
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, few literatures focus on the correlation between wind farm or photovoltaic power plant active output prediction errors

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
  • Research method of renewable energy power plant active power prediction error correlation
  • Research method of renewable energy power plant active power prediction error correlation
  • Research method of renewable energy power plant active power prediction error correlation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The technical solution of the present invention will be further introduced below in combination with specific embodiments.

[0050] The invention discloses a method for researching the correlation between prediction errors of active power output of renewable energy power stations, such as figure 1 shown, including the following steps:

[0051] S1: Modeling the error probability distribution of active power output prediction of renewable energy power plants;

[0052] S2: Modeling the joint cumulative probability distribution function between the active output prediction errors of renewable energy power plants;

[0053] S3: Applying the Kendall rank correlation coefficient to quantify the correlation between the active output prediction errors of renewable energy power plants;

[0054] S4: Summarize the distribution characteristics and correlation of active power output prediction errors of renewable energy power plants.

[0055] Among them, in step S1, based on the ge...

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 present invention discloses a research method of renewable energy power plant active power prediction error correlation. The method comprises the steps of (S1) modeling renewable energy power plant active power prediction error probability distribution, (S2) modeling the joint cumulative probability distribution function between renewable energy power plant active power prediction errors, (S3) applying a Kendall rank correlation coefficient to quantize the correlation between the renewable energy power plant active power prediction errors, and (S4) summarizing a renewable energy power plant active power prediction error distribution characteristic and correlation. According to the method, the adverse effect of a renewable energy active power uncertainty on grid scheduling and a renewable energy power generation enterprise is quantized, the scheduling of related departments to make a set start and stop plans and arranging the maintenance and repair of a set is facilitated, the rotation standby requirement of a system can be reduced, thus the operating cost is saved, and the market competitiveness of a novel energy power generation enterprise is improved.

Description

technical field [0001] The invention relates to a method for researching the correlation between errors in prediction of active power output of a renewable energy power station. Background technique [0002] In recent years, in response to the depletion of fossil energy and the deterioration of the natural environment, the pace of development and utilization of renewable energy in my country has been gradually accelerated. Taking wind energy and solar energy as examples, by the end of 2013, the installed capacity of wind power in my country's power grid had reached 91.413 million kilowatts, and the accumulated photovoltaic The network operates 1.942 million kilowatts, ranking first in the world in terms of scale. However, renewable energy is affected by external weather changes and system performance, and its output power is intermittent and fluctuating, which seriously interferes with the safe, stable and economical operation of the power system. In this context, the predic...

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): H02J3/48
CPCH02J3/003H02J3/48H02J2203/20
Inventor 包江民贺文严兵张新松袁越曹阳蔡博戎
Owner STATE GRID CORP OF CHINA
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