Combined sampling method for evaluating reliability of power system

A power system and reliability technology, applied in the field of power system reliability assessment, can solve the problem of low sampling efficiency, achieve the effect of improving sampling efficiency, reducing sampling times and calculation time, and reducing sampling times

Active Publication Date: 2017-11-24
RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER +1
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It overcomes the problem of low sampling efficiency of the scattered sampling method and the full probability formula method in the prior art, and it is also simpler and more accurate than other improved sampling methods or mixed methods of the prior art.

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
  • Combined sampling method for evaluating reliability of power system
  • Combined sampling method for evaluating reliability of power system
  • Combined sampling method for evaluating reliability of power system

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0038] A combined sampling method for power system reliability assessment, using the combined sampling method of equidistributed sampling and full probability formula sampling to evaluate system reliability indicators, in which a group of system components is selected to apply the full probability formula, if the system The number of all components is n, the number of selected system components is m, then the number of remaining components is n-m, then the remaining n-m components apply the equal dispersion sampling method to ensure that more components in the fault state appear, the specific steps are as follows :

[0039] 1) Input the original data: including the number of components, component capacity, forced outage rate, calculation accuracy β, and maximum sampling times N max , the number of subintervals h for equidistributed sampling.

[0040] 2) Take the product of component capacity and forced outage rate as the importance, sort the importance of all components, sele...

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 discloses a combined sampling method for evaluating the reliability of a power system. On the basis of the combined sampling method with equal-dispersed sampling and total-probability-formula sampling, a reliability index of a system is evaluated; one group of system elements are selected to apply the total probability formula and the equal-dispersed sampling method is applied to the rest elements of the system. The combined sampling method comprises the following steps: inputting original data and selecting one group of elements according to an importance degree principle; enumerating component events and corresponding probabilities of the selected system elements, carrying out equal-dispersed sub zone sampling on the rest elements of the system and carrying out combination with the events to form a system state; and calculating the state in each equal-dispersed sub zone, calculating a sample variance, carrying out multi-times cyclic sampling till meeting of a set requirement by the sample variance, and outputting a result. With the combined sampling method having the equal-dispersing method and the total probability formula method, the sample variance, the sampling number of times, and the calculation time are reduced; the sampling efficiency is improved; and the precision is enhanced.

Description

technical field [0001] This patent relates to the field of reliability assessment of power systems, and is especially suitable for a combined sampling method for reliability assessment of power systems requiring a large number of Monte Carlo samples. Background technique [0002] The reliability assessment of the power system in the prior art mainly includes the analytical method and the Monte Carlo method. Among them, the analytical method needs to enumerate all the states of the system. When the system scale is large, the problem of "curse of dimensionality" may appear. The mathematical model of the Monte Carlo method is relatively simple. Under certain precision requirements, the sampling frequency of the Monte Carlo method has nothing to do with the scale of the system, which can eliminate the problem of "dimension disaster" of the analytical method, and is especially suitable for large-scale power systems. Reliability assessment has thus received more and more attentio...

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): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06
Inventor 邱轩宇郭宜果兰峰卢福木张春辉李宗蔚张景翯匙阳阳王可欣付一木
Owner RES INST OF ECONOMICS & TECH STATE GRID SHANDONG 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

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