Power grid reliability real time parallel assessment method base on Monte-Carlo simulation task dynamic distribution

A dynamic allocation and reliability technology, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve the problem that the limited time and space processing capacity of serial single processing technology cannot meet the needs of engineering calculations, and achieve reduced communication times and high simulation accuracy , the effect of improving parallel efficiency

Pending Publication Date: 2017-05-31
STATE GRID CORP OF CHINA +1
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the continuous emergence of large-scale and complex power systems, the limited space-time processing capability of serial single-processing technology can no longer meet the requirements of engineering calculations

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 grid reliability real time parallel assessment method base on Monte-Carlo simulation task dynamic distribution
  • Power grid reliability real time parallel assessment method base on Monte-Carlo simulation task dynamic distribution
  • Power grid reliability real time parallel assessment method base on Monte-Carlo simulation task dynamic distribution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] The present invention will be further described below:

[0014] As shown in the figure, this real-time parallel evaluation method of power grid reliability based on the dynamic allocation of Monte Carlo simulation tasks, first of all, data input, based on the Demouvre-Laplace central limit theorem to estimate the corresponding LOLP index variance coefficient of the system when it converges The number of sampling times is conservatively estimated, and then tasks are allocated according to the estimated value of the number of sampling times. After each slave processor receives the simulation task, it first extracts N / p system states through a parallel random number generator, and then performs fault consequences for each similar fault state. Analyze and form reliability indicators under N / p system states, then send the simulation results to the main processor and end the task, and immediately receive the simulation results from each slave processor after the main processor...

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 grid reliability real time parallel assessment method base on Monte-Carlo simulation task dynamic distribution. Firstly, data are input, based on the De Moivre-Laplace central-limit theorem, a sampling frequency corresponding to LOLP index variance coefficient convergence of the system is estimated for conservative projection. Then, the task distribution is carried out according to the estimated value of the sampling frequency. After each processor receives a simulation task, N / p system states are extracted through parallel random number generators for carrying out fault result analysis to fault states of the same class so as to form reliable indexes in the N / p system states. Simulation results are sent to a major processor and tasks are finished, and the major processor immediately receives the simulation results sent by the processors after completing task%. The beneficial effects are that the method is high in simulation precision, the inter-processor communication frequency (or time) is also reduced while the convergence precision is ensured, and the Monte-Carlo simulation efficiency is further improved.

Description

technical field [0001] The invention belongs to the field of power supply planning and reliability evaluation of power generation systems, in particular to a real-time parallel evaluation method for power grid reliability based on dynamic distribution of Monte Carlo simulation tasks. Background technique [0002] With the rapid expansion of the power system scale and the increasingly complex grid structure, the amount of data that needs to be processed and calculated when analyzing various indicators of the grid has doubled, and its modeled calculation analysis is facing severe challenges of computational complexity. Even for the most basic power flow calculation, the traditional serial calculation method has been difficult to meet the requirements of real-time analysis and control of large-scale power systems, and parallel computing provides a feasible way for this type of large-scale calculation. With the advent of inexpensive parallel Beowulf clusters, there are attractiv...

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): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 商佳宜王坚俊应康楼华辉廖培吴汕陈琳熊军
Owner STATE GRID CORP OF CHINA
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