Power system weak link identification method based on risk evaluation

A power system and weak link technology, applied in the field of power system analysis, can solve problems such as the law of power flow distribution in the power system that does not take into account the size of the load, and the judgment deviation of weak links, so as to prevent large-scale power outages, reduce power outage risks, and improve The effect of the operational safety level

Active Publication Date: 2013-12-04
TSINGHUA UNIV
View PDF3 Cites 44 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Vulnerability assessment method based on betweenness (Cao Jia, Chen Xiaogang, Sun Ke. Identification of vulnerable lines in large power systems based on complex network theory. Electric Power Automation Equipment, 2006, 26(12):1-5) Calculation of weighted lines for each line Betweenness is used as an identification method for vulnerable line indicators. The meaning of betweenness is the ratio of the number of paths passing through the line in all the shortest paths in the power network to the total number of shortest paths. This method does not take into account the load of each node and the power system. The law of power flow distribution may also cause deviations in the judgment of weak links

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
  • Power system weak link identification method based on risk evaluation
  • Power system weak link identification method based on risk evaluation
  • Power system weak link identification method based on risk evaluation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0157] Taking the IEEE reliability standard test power system (IEEE RTS-79) as an example, the risk assessment-based power system weak link identification method proposed by the present invention is described, and the effect achieved by the present invention is verified. The IEEE RTS-79 power system includes a total of 24 nodes, 32 generator sets, and 38 branches, with a maximum load of 2850MW and an installed capacity of 3405MW. IEEE RTS-79 power system network topology diagram such as figure 2 As shown, the maximum load curve of the power system in each week in one year is as follows image 3 The generator parameters are shown in Table 1, the load ratio of each node is shown in Table 2, and the branch (line and transformer) parameters are shown in Table 3.

[0158] Table 1 IEEE RTS-79 generator set reliability data

[0159]

[0160]

[0161] Table 2 IEEE RTS-7 node load ratio

[0162]

[0163]

[0164] Table 3 IEEE RTS-79 branch circuit (line and transformer)...

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 power system weak link identification method based on risk evaluation and belongs to the field of power system analysis. The method includes acquiring fault probability of elements of a power system, a future load curve of the power system, states of the elements and load of nodes of the power system; utilizing a minimum load shedding loss optimization model to judge the failure state of the power system and determining the optimum load shedding quantity of each node under each element sampling state; finishing calculation of risk indicators of the power system through repeated sampling and power system failure state judgment; conducting statistics on the weak link characteristic quantity corresponding to faults of generators and an electric transmission and transformation device, calculating five element weakness recognition indicators of the elements according to the risk indicators and the weak link characteristic quantity and finally sorting the recognition indicator values to recognize the weak link of a generator set and the electric transmission and transformation device. By means of the method, the weak link of the power system is improved, large-area power failure of the power system is prevented, and operation safety of the power system is improved.

Description

technical field [0001] The invention belongs to the field of power system analysis, and in particular relates to a method for identifying weak links of the power system through risk assessment in power planning schemes. Background technique [0002] The source of blackout accidents in the power system lies in its uncertain characteristics. The random faults in the power system are often beyond the scope of human control, and the load is always uncertain. Therefore, the power system is always under the potential risk of blackout. Power system safety and reliability is one of the main objectives considered in power planning. The power system cannot eliminate all safety risks. The goal in power planning ensures that the planned power grid reaches a certain level of safety and reliability, and rationally optimizes the planning scheme to improve the safety and reliability of the power system as much as possible. The power system contains many generators and power transmission an...

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): G06Q10/06G06Q50/06
Inventor 张宁康重庆夏清吴迪刘静琨辛建波万军彪熊宁李辉王智冬
Owner TSINGHUA UNIV
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