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Multi-source power meteorological fusion data overall evaluation method and system and storage medium

A data and power technology, applied in systems and storage media, in the field of the overall evaluation method of multi-source power and meteorological fusion data, which can solve the problems of uneven observation quality and the inability of fusion data to fully meet business needs.

Pending Publication Date: 2021-01-15
STATE GRID HUNAN ELECTRIC POWER +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Observational data from different sources and observational data from the same source with different characteristics all have uneven observation quality, which also has an inevitable impact on the overall credibility of the fusion data.
[0004] There are many types of existing data fusion technologies, but the overall effect evaluation method of fusion data still cannot fully meet business needs

Method used

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  • Multi-source power meteorological fusion data overall evaluation method and system and storage medium
  • Multi-source power meteorological fusion data overall evaluation method and system and storage medium
  • Multi-source power meteorological fusion data overall evaluation method and system and storage medium

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Experimental program
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Effect test

Embodiment 1

[0020] This embodiment discloses an overall evaluation method for multi-source power meteorological fusion data, such as figure 1 shown, including:

[0021] Step S1. Divide the multi-source power meteorological fusion data into six types of data: satellite, radar, online monitoring device, manual observation, release by the meteorological department, and historical data calculation; and divide the data quality corresponding to each type of data into: accurate, wrong , missing test and other four situations; and calculate the occurrence probability of each type of data corresponding to the four situations.

[0022] In this step, if the generation of data of type "Other" is considered to be affected by "Error" or "Missing", then "Other" is a function of "Error" and "Missing".

[0023] The data quality type occurrence probability of the six sources of data is shown in Table 1:

[0024] Table 1:

[0025]

[0026] Step S2. Combining satellite and radar occurrence probability ...

Embodiment 2

[0100] Corresponding to the above method, this embodiment discloses an overall evaluation system for multi-source power meteorological fusion data: including a memory, a processor, and a computer program stored in the memory and operable on the processor, the processor executes the The computer program implements the steps of the above-mentioned method.

Embodiment 3

[0102] Similarly, this embodiment discloses a computer storage medium on which a computer program is stored, and when the program is executed by a processor, the steps in the above method are implemented.

[0103] To sum up, the overall evaluation method, system and computer storage medium of the multi-source power meteorological fusion data respectively disclosed in the above-mentioned embodiments of the present invention have at least the following beneficial effects:

[0104] D-S evidence theory is a probability analysis method for multi-source interference conditions, which can quickly grasp the overall characteristics and form concise and intuitive evaluation results. Therefore, introducing the D-S evidence theory into the reliability evaluation of multi-source fusion data of power meteorology can realize the rapid analysis of information. According to the evaluation results, the selection of multi-source data, the acquisition of fusion data can be optimized and the resear...

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Abstract

The invention relates to the field of power grid protection, and discloses a multi-source power meteorological fusion data overall evaluation method and system, and a storage medium, so as to optimizethe selection of multi-source data and ensure the quality of data fusion. The method comprises the following steps: dividing multi-source power meteorological fusion data into six types of data including satellites, radars, online monitoring devices, manual observation, meteorological department release and historical data calculation; dividing the data quality corresponding to each type of datainto four conditions of accuracy, errors, missing measurement and the like; calculating the occurrence probabilities of various types of data corresponding to four conditions, and performing first, second and third evaluation of data fusion credibility based on a D-S evidence theory method, including grouping calculation of normalization constants, grouping and calculating the occurrence probabilities of various types of data features, and forming a final quantitative evaluation result.

Description

technical field [0001] The invention relates to the field of protection of power grids, in particular to an overall evaluation method, system and storage medium for multi-source power meteorological fusion data. Background technique [0002] With the continuous expansion of the scale of power grid construction, the requirements for professional meteorological services for power grid operation guarantee are constantly increasing. As a special technical field that provides technical support for power operation and maintenance, power meteorology requires a solid foundation of observation data. In order to effectively grasp the real-time meteorological information near the transmission line, the real-time meteorological data of electric power fully utilize remote sensing observation methods such as satellite observation and radar observation, online monitoring device monitoring, and conventional observation methods of manual on-site observation. The data information forms a mul...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06H02J3/00
CPCG06Q10/04G06Q10/06395G06Q50/06H02J3/00H02J2203/20Y02A90/10
Inventor 邸悦伦郭俊章国勇叶钰
Owner STATE GRID HUNAN ELECTRIC POWER
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