A Distributed Photovoltaic Acquisition and Estimation Optimization Method Based on Trusted Nodes

A distributed photovoltaic and optimization method technology, applied in transmission systems, electrical components, etc., can solve problems such as waste of sampling resources, complex calculation time-consuming, complex calculation methods, etc., to improve calculation efficiency, ensure calculation accuracy, and reduce calculation complexity degree of effect

Active Publication Date: 2022-02-15
EAST CHINA BRANCH OF STATE GRID CORP +1
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method can estimate the output of distributed photovoltaic nodes, this method not only needs to rely on meteorological monitoring equipment, but also collects the panel temperature and solar radiation values ​​of virtual centralized photovoltaic nodes, and also predicts solar irradiance and temperature value, there are problems that require additional meteorological monitoring equipment and have complex calculation methods
The other is a distributed photovoltaic irradiance measurement and distribution method based on compressed sensing technology. The technology sparsely optimizes the polynomial model between the overall output of photovoltaics and the irradiance of each photovoltaic power station in the area, and selects the most representative photovoltaic power station layout measurement. Although this method can reduce redundant measurement points, the compressive sensing technology In practical applications, not only a large amount of data needs to be collected, but also a large amount of sampling resources are wasted in the compression process, and the calculation is complex and time-consuming

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 Distributed Photovoltaic Acquisition and Estimation Optimization Method Based on Trusted Nodes
  • A Distributed Photovoltaic Acquisition and Estimation Optimization Method Based on Trusted Nodes
  • A Distributed Photovoltaic Acquisition and Estimation Optimization Method Based on Trusted Nodes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] In the following, a trusted node-based distributed photovoltaic collection distribution and estimation optimization method proposed by the present invention will be described in detail by planning M measurement photovoltaic nodes in an area with a total of N distributed photovoltaic nodes. as attached figure 1 The method shown comprises the steps of,

[0069] S100: Calculate the similarity between each photovoltaic node according to the static data of the distributed photovoltaic nodes in the region;

[0070] S200: Take the M measured photovoltaic nodes in the area as trusted photovoltaic nodes, set their diagonal similarity s(i,i)=V, and set the other N-M photovoltaic nodes as non-measured photovoltaic nodes, set their diagonal similarity Similarity s(i, i)=0, where N is the total number of photovoltaic nodes in the area, M≤N, 1≤i≤N, V>0;

[0071] S300: According to the similarity, with the measured photovoltaic node as the center point, group the non-measured photov...

Embodiment 2

[0102] This embodiment provides a distributed photovoltaic collection layout and output estimation system, as shown in the attached Figure 5 As shown, the distributed photovoltaic collection and distribution and output estimation system includes,

[0103] Similarity calculation unit 100: used to calculate the similarity between each photovoltaic node according to the static data of the distributed photovoltaic nodes in the area;

[0104] Measurement node selection unit 200: Initially, trustworthy nodes in the area are used as measurement nodes, and other photovoltaic nodes are set as non-measurement photovoltaic nodes;

[0105] Node grouping unit 300: used to group non-measured photovoltaic nodes with the measured photovoltaic node as the center point according to the similarity, and to calculate the comprehensive deviation in the region;

[0106] Grouping decision unit 400: used to judge whether the comprehensive deviation is less than the error threshold, if not, used to t...

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 provides a trusted node-based distributed photovoltaic collection distribution and estimation optimization method, the method includes the following steps, according to the static data of the distributed photovoltaic nodes in the area, calculating the similarity between the photovoltaic nodes; selecting The known trusted photovoltaic nodes are used as measurement photovoltaic nodes, and according to the similarity, the non-measurement photovoltaic nodes are grouped with the measurement photovoltaic node as the center; according to the actual output, similarity and installed capacity of the measurement photovoltaic nodes, Estimate output of non-measuring PV nodes. The present invention provides a method and system for distributed photovoltaic collection distribution and estimation optimization based on trusted nodes, and provides an optimized layout of measured photovoltaic nodes for distributed photovoltaic nodes based on trusted photovoltaic nodes, considering the actual output of measured photovoltaic nodes And other real-time estimation algorithms of non-measuring photovoltaic nodes can effectively estimate the real-time output of non-measuring photovoltaic nodes in the area in real time.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power generation, and in particular relates to a trusted node-based distributed photovoltaic collection distribution and estimation optimization method. Background technique [0002] With the limitations of conventional energy such as coal, oil, and natural gas and the increasingly prominent environmental problems, new energy sources that are clean, environmentally friendly and renewable have attracted more and more attention. The development of the new energy industry is not only an effective supplement to the entire energy supply system, but also an important measure for environmental governance and ecological protection, and is the ultimate energy choice to meet the sustainable development of human society. Among them, solar energy, which has many advantages such as clean and environmental protection, no pollution, high utilization value and no shortage of resources, has an irreplaceable p...

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): H04L41/0823H04L41/0893H04L67/12H04L67/1097
CPCH04L41/0823H04L41/0893H04L67/025H04L67/12H04L67/1097
Inventor 陆建宇叶海侯勇何星刘拥军王利锋方兴其胡蓉胡朝阳李珂
Owner EAST CHINA BRANCH OF STATE GRID CORP
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