Quantitative analysis method for toughness of intelligent power distribution network containing various types of loads in sandstorm weather

A quantitative analysis, intelligent power distribution technology, applied in the direction of climate sustainability, power network operating system integration, AC network voltage adjustment, etc. Effect

Pending Publication Date: 2019-12-03
ECONOMIC RES INST OF STATE GRID GANSU ELECTRIC POWER +3
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, to provide a quantitative analysis method for the toughness of the distribution network to ensure a certain proportion of important

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
  • Quantitative analysis method for toughness of intelligent power distribution network containing various types of loads in sandstorm weather
  • Quantitative analysis method for toughness of intelligent power distribution network containing various types of loads in sandstorm weather
  • Quantitative analysis method for toughness of intelligent power distribution network containing various types of loads in sandstorm weather

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] Use the improved IEEE-33 node system based on actual conditions to analyze the resilience of the distribution network under extreme weather. figure 2 It is the network framework structure diagram of the revised IEEE-33 node system. The coordinate system is established with node 1 as the origin. Each line is 5km long and has an average span of 50m. The distribution network line uses LGJ-240 / 30 steel strands; the pole tower is composed of 12m concrete poles with a strength grade of G; the typhoon landing coordinates are (-125km, -40km), and the typhoon is moving along the positive direction of the x-axis at a speed of 25km / h Movement; typhoon landing time is the simulation start time. Since the overhead line cannot be automatically reclosed after the line is disconnected or the tower collapses, the average repair time of the line is assumed to be 5 hours; according to the evaluation process of the resilience of the distribution network proposed in the present invention, 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 invention relates to a quantitative analysis method for toughness of an intelligent power distribution network containing various types of loads in sandstorm weather. The method comprises the following steps of simulating a sandstorm wind field and obtaining the wind speed of each point, calculating the load effect of a power distribution network according to the wind speed and the wind direction, respectively obtaining the fault rate of a power distribution network line and the fault rate of a tower, calculating the fault rate of a power distribution network overhead line, and obtaining afault scene of the power distribution network at a certain moment in the extreme weather; giving different weights to various levels of loads according to the importance of the loads; judging whethera system line is overloaded or not after a fault occurs, and implementing a load shedding measure on a current load when the line is overloaded; calculating the load reduction amount of the current scene according to the weight, sequentially completing calculation of the load loss of each time period, then calculating the average comprehensive load reduction of the load, and calculating a toughness index of the power distribution network. According to the method, a problem of high electric energy supply pressure in the windy and dusty weather is better solved, and disaster resistance of the power distribution network is effectively improved.

Description

Technical field [0001] The invention belongs to the technical field of quantitative analysis of the resilience of an intelligent distribution network, and particularly relates to a quantitative analysis method of the resilience of an intelligent distribution network with multiple types of loads under windy and sandy weather. Background technique [0002] In recent years, many natural disasters and unreasonable man-made operations have caused large-scale continuous power outages, which have brought unprecedented challenges to the power system. The impact of extreme weather on the power system is generally difficult to resist. In 2008, the snow disaster in southern my country destroyed power facilities in 13 provinces and cities, damaged more than 129 lines, and cut out 14.66 million households. In 2016, Jiangsu Province was hit by a tornado and 135,000 households were out of power. Although the frequency of extreme weather is relatively low, the damage to the power system is often...

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): H02J3/14
CPCH02J3/14Y04S20/222Y02B70/3225
Inventor 宋军王洲杨昌海葛磊蛟任彦辉徐铭张军姜景芮贾春蓉妥建军彭婧杨婷婷刘永成刘正英杨国山曹喆李媛迟昆
Owner ECONOMIC RES INST OF STATE GRID GANSU ELECTRIC POWER
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