Data processing method and system for state estimation based on improved algorithm

A state estimation and improved algorithm technology, applied in the field of data governance, can solve problems such as back-end data garbage, inconsistent quality marks, etc., and achieve the effect of satisfying fast acquisition and solving the lack of data information

Pending Publication Date: 2020-11-03
GUIZHOU POWER GRID CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although many DAS master station systems have been in operation for many years, due to the frequent changes of distribution automation system models, the time scale and quality marks of historical data collected and stored at the same time are inconsistent, and a large amount of accumulated back-end data has become "garbage".

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  • Data processing method and system for state estimation based on improved algorithm
  • Data processing method and system for state estimation based on improved algorithm
  • Data processing method and system for state estimation based on improved algorithm

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Embodiment 1

[0044] refer to Figure 1-8 , which is the first embodiment of the present invention, this embodiment provides a data processing method based on the state estimation of the improved algorithm, including:

[0045] S1: Obtain multi-source data by using equipment parameters and measurement data. What needs to be explained is that multi-source data includes distribution network digital state retrieval and XML-based data import and export;

[0046] Among them, digital state recovery refers to providing the data and status required by the scattered power data according to the data requirements of the advanced application of the distribution network, and the data should be classified, compressed and stored according to the requirements of the specified distribution network application analysis , to meet the data requirements and fast acquisition of advanced application analysis of different distribution networks; digital state recovery includes data interaction based on the relation...

Embodiment 2

[0160] refer to Figure 9 , is the second embodiment of the present invention, which is different from the first embodiment in that it provides a data processing system based on state estimation of an improved algorithm, including a data acquisition module 100, a bad data identification module 200, The bad data identification module 300, the weight identification module 400 and the estimation module 500 are more specific, wherein the data acquisition module 100 is used to collect the electrical parameters of the power equipment, the topological connection of the power equipment, the measurement data of the equipment, and the electricity quantity, and obtain the information needed for the grid computing application. basic data, and upload the collected data to the bad data identification module 200; the bad data identification module 200 is connected with the data acquisition module 100, and can receive the information uploaded by the data acquisition module 100, which is used t...

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Abstract

The invention discloses a data processing method and system for state estimation based on an improved algorithm. The method comprises the following steps: obtaining multi-source data by utilizing equipment parameters and measurement data; carrying out bad data processing on the multi-source data, and finding and eliminating DAS bad data by utilizing a compatibility analysis strategy; repairing andchecking the bad data required by economic operation analysis and calculation of each distribution network; according to distribution network application analysis requirements, storing the repaired bad data into a corresponding topic database in a classified and compressed manner for observability analysis processing to obtain an observability analysis result; performing virtual measurement on the observability analysis result by utilizing state estimation based on an improved algorithm. The observability and measurement redundancy of virtual measurement of the power distribution network areimproved, the problem of data information loss of the power distribution network is solved, and data requirements and rapid acquisition of advanced application analysis of different power distributionnetworks are met; and a high-precision, complete and reliable power distribution system state is estimated by utilizing power distribution network measurement information.

Description

technical field [0001] The present invention relates to the technical field of data governance, in particular to a data processing method and system for state estimation based on an improved algorithm. Background technique [0002] In recent years, a large amount of operation data has been generated during the operation of DAS. These data come from different types and manufacturers, and are transmitted to the terminal data of DAS by different communication methods. Due to the lack of unified time scale or measurement coverage, the reliability of distribution network Insufficient observability. At the same time, the distribution network changes frequently with the advancement of urban construction, and the model changes every day. This frequently changed model and non-observable data restrict the deepening application of DAS. Many applications, such as economical operation analysis, planning analysis, theoretical line loss calculation, etc. cannot be run effectively. In ord...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06F16/22G06Q50/06
CPCG06F16/215G06F16/22G06Q50/06
Inventor 丁健马春雷吴金勇申勇吴克忠周镇义
Owner GUIZHOU POWER GRID CO LTD
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