Distributed wind power generation grid-connected posterior probability line loss allocation method considering wind speed intensity

A wind turbine, distributed technology, applied in wind power generation, electrical components, circuit devices, etc., can solve problems such as difficulty in accurately measuring the actual utilization of power transmission and transformation equipment by power transmission users, and difficulty in achieving fairness and reasonableness of network fees.

Active Publication Date: 2016-06-01
SOUTH CHINA UNIV OF TECH
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The network loss allocation algorithms currently used in the world include: loss micro-increasing rate method, power deco

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
  • Distributed wind power generation grid-connected posterior probability line loss allocation method considering wind speed intensity
  • Distributed wind power generation grid-connected posterior probability line loss allocation method considering wind speed intensity
  • Distributed wind power generation grid-connected posterior probability line loss allocation method considering wind speed intensity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0064] A probabilistic line loss allocation method after distributed wind power generation is connected to the grid considering wind speed intensity, such as figure 1 As shown, the steps in the following order are included:

[0065] S1. Determine the research object, that is, the specific distributed wind power generation unit, and further clarify the wind speed characteristics of the area where the research object is located through the investigation and analysis of income;

[0066] S2. Through scene decoupling and curve fitting methods, establish the practical discrete output characteristics of distributed wind turbines with changes in wind speed and intensity;

[0067] S3. Summarize the actual network topology, basic ledger information and electrical operating parame...

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 distributed wind power generation grid-connected posterior probability line loss allocation method considering wind speed intensity. The method comprises the following steps: firstly determining a research object, namely a specific distributed wind power generator set, to definitely research the wind speed characteristics of an area where the research object is located; then establishing the practicability discrete output force characteristics of the distributed wind power generator seat based on scene decoupling-curve fitting and the wind speed intensity; then carrying out load flow calculation containing the distributed wind power generator set and line loss allocation calculation based on a load flow track algorithm; solving the line loss rate allocated by the distributed wind power generator set under different scenes again; and finally determining the line loss allocation rate of the distributed wind power generator set according to each occurrence probability of wind speed intensity of the area. According to the method, the probability distribution characteristics of territorial wind speed intensity are considered firstly to carry out probability line loss allocation research; and the allocation method can further help power supply departments to price wheeling cost allocation for the grid-connected distributed wind power generator set on the basis of determining the line loss allocation rate.

Description

technical field [0001] The invention relates to the analysis field of grid-connected distributed wind power generation and power line loss allocation research, in particular to a probability line loss allocation method after grid-connected distributed wind power generation considering wind speed intensity. Background technique [0002] With the introduction of the national smart grid development strategy, the grid-connection of distributed power sources has increasingly become an important technical feature of smart grids. The introduction and integration of distributed power sources into the existing distribution network system is the development trend of distributed power sources. Among them, distributed wind power generation has received widespread attention due to the "inexhaustible and inexhaustible" characteristics of the pollution-free wind energy it uses and the rich offshore wind energy resources in my country. For coastal islands, grassland pastoral areas, mountain...

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): H02J3/38G06F17/50
CPCH02J3/386G06F30/367Y02E10/76
Inventor 安晓华欧阳森杨家豪
Owner SOUTH CHINA UNIV OF TECH
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