Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A multi-algorithm fusion system for power grid state estimation

A power grid state estimation and state estimation technology, which is applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems such as the difficulty of big data processing, and achieve the goals of achieving flexibility, improving efficiency, and improving accuracy and efficiency Effect

Inactive Publication Date: 2016-12-07
芜湖大学科技园发展有限公司
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although there are many algorithms for state estimation, and the optimization of the algorithms is becoming more and more perfect, each algorithm will have shortcomings, and each algorithm also has its own adaptation conditions
Therefore, it is still difficult to satisfy the big data processing of complex power grids only by a certain algorithm for state estimation.

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
  • A multi-algorithm fusion system for power grid state estimation
  • A multi-algorithm fusion system for power grid state estimation
  • A multi-algorithm fusion system for power grid state estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] Embodiment 1, manually configure metadata to perform state estimation and output the result.

[0061] To realize state estimation in Web mode, first start the state estimation function module from Felix, and create new grid metadata on the data platform through "New Input → Get An Instance → Start Update". In this program, the test file is .\_data\ edata\db_data.txt, the configuration file is EReaderCfg 4DB.Properties, you may wish to name the grid metadata as ieee, and then create the measurement metadata, the test file in this program is .\_data\edata\db_meas.txt, the configuration file For EReaderCfg4DB.Properties, you may wish to name the grid metadata as meas, and then log in to the state estimation page (this time using a local computer for testing, so the URL is: 127.0.0.1:8080 / ztgj / index.html), enter the user and password to enter State estimation pages such as figure 2 As shown; create a new state estimation result metadata named result, and then select the g...

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 multi-algorithm fusion system for power grid state estimation, including weighted least squares method, fast decomposition method, orthogonal transformation method, and measurement state transformation method. The system is designed based on the idea of ​​data fusion, and these algorithms are mutually fused to realize the power grid State estimation makes the estimation results not only retain the advantages of their respective algorithms, but also avoid the disadvantages of a single algorithm. The system supports two algorithm fusion modes, one is the serial mode, that is, each estimation algorithm is executed successively in a certain order, and the output of the former algorithm is used as the input of the latter algorithm. The state estimation result; the second is the parallel mode, that is, each estimation algorithm is executed separately to obtain its own state estimation result, and then these results are weighted and combined to obtain the final state estimation result.

Description

technical field [0001] The invention relates to the field of power system data algorithms, in particular to a multi-algorithm fusion system for power grid state estimation. Background technique [0002] With the rapid development of the power system, the network structure and operation mode of the power system are becoming more and more complex, which requires the modern dispatching system to accurately, quickly and comprehensively grasp the actual operation mode and operation status of the power system. Various advanced applications of energy management systems (EMS) in modern power systems, such as voltage stability analysis, transient stability analysis and safety-constrained scheduling, all rely on real-time reliable data provided by state estimation. Therefore, state estimation has become an important part of EMS, especially in the electricity market environment. [0003] Although there are many algorithms for state estimation, and the optimization of the algorithms is...

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 Patents(China)
IPC IPC(8): G06F19/00
Inventor 陈颖黄少伟汪石农葛愿余诺
Owner 芜湖大学科技园发展有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com