Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Device and method for photovoltaic short-term load prediction of power distribution network

A load forecasting and power grid load technology, applied in forecasting, calculation, instrumentation, etc., can solve the problems of ignoring the difference of load characteristics, large amount of calculation, and low forecasting accuracy

Inactive Publication Date: 2017-05-31
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
View PDF0 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a distribution network short-term load forecasting method and device considering photovoltaics, which solves the problem that there are many load nodes in the distribution network. The load is superimposed together for forecasting, ignoring the differences of different load characteristics, and the technical problem of low forecasting accuracy

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
  • Device and method for photovoltaic short-term load prediction of power distribution network
  • Device and method for photovoltaic short-term load prediction of power distribution network
  • Device and method for photovoltaic short-term load prediction of power distribution network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The embodiment of the present invention provides a short-term load forecasting method and device for distribution network considering photovoltaics, which is used to solve the problem that there are many load nodes in the existing distribution network. If all of them are predicted separately, the calculation amount is large and there is an error accumulation effect ; If the loads of the whole area are superimposed together for prediction, the difference of different load characteristics is ignored, and the technical problem of low prediction accuracy.

[0058] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, not all, embodiments of the presen...

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

An embodiment of the invention of a device and a method for photovoltaic short-term load prediction of a power distribution network and aims to solve technical problems of high calculation quantity and error accumulation effects in single prediction of a large quantity of load nodes of an existing power distribution network and low prediction precision in superposition prediction of all loads in a whole area due to neglect of characteristic differences of different loads. The method for photovoltaic short-term load prediction of the power distribution network includes: S1, preprocessing missing data and bad data of net load power data formed by distributed photovoltaic and grid load; S2, dividing the net load power data meeting preset conditions into five cluster loads according to a fuzzy C clustering method; S3, respectively subjecting each cluster load to load prediction according to a similar day and support vector machine based short-term load prediction method, and subjecting load prediction results of each cluster load to superposition.

Description

technical field [0001] The invention relates to the technical field of electric power system load forecasting, in particular to a method and device for short-term load forecasting of distribution networks considering photovoltaics. Background technique [0002] With the continuous development of grid-connected photovoltaic power generation technology and the increase of policy support, the cost of photovoltaic power generation has been greatly reduced, and the penetration rate of distributed photovoltaic power generation in the distribution network has continued to increase, making the power load of the distribution network larger. The changes have had a certain impact on distribution network planning and power dispatching. At the same time, the intermittent and random defects of distributed photovoltaics also make the load forecasting work more complicated. If the impact of distributed photovoltaic changes on the load of the power system is not considered, and the load for...

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): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 张弛曾杰骆潘钿赵伟钟国彬梅成林谢宁徐琪张威赵景飞罗敏魏增福孟金岭邓凯王超易斌徐凯琪郑成立何婷周少雄
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com