Power distribution network three-dimensional simulation training credibility evaluation method based on cloud matter-element model

A three-dimensional simulation, distribution network technology, applied in teaching models, design optimization/simulation, electrical digital data processing, etc., can solve the problems of calculation difficulty, different evaluation results, and distortion of evaluation results.

Inactive Publication Date: 2017-05-24
EAST INNER MONGOLIA ELECTRIC POWER COMPANY +2
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Problems solved by technology

However, fuzzy similarity requires the participation of experts, which is inevitably accompanied by a large number of subjective factors. For distribution network training simulation, there are too many corresponding actual system evaluation indicators, resulting in too many similar elements, which brings certain problems to the calculation. Difficulty, resulting in distortion of eval

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  • Power distribution network three-dimensional simulation training credibility evaluation method based on cloud matter-element model
  • Power distribution network three-dimensional simulation training credibility evaluation method based on cloud matter-element model
  • Power distribution network three-dimensional simulation training credibility evaluation method based on cloud matter-element model

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Embodiment

[0072] Below is the step that adopts the specific embodiment of the present invention, as follows:

[0073] 1. According to the requirements of simulation credibility evaluation, the evaluation grades are divided into six grades: "Excellent", "Very Good", "Good", "General", "Poor", and "Very Poor". The linguistic values ​​of the judgment grades are transformed into cloud model representations respectively.

[0074] 2. According to the simulation of the task of "power outage and cable replacement", the expert group is invited to score each content in the credibility evaluation index system, and score according to the full score of 100 points. Assuming that the weight of each expert is equal, the average value of all expert scores is used as the index realization value.

[0075] 3. The scoring value of the expert group is input into the reverse cloud generator as follows, and the cloud representation of each indicator of the reliability of the subsystem to be evaluated is obtai...

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Abstract

The invention relates to a power distribution network three-dimensional simulation training credibility evaluation method based on a cloud matter-element model. A correlation function of a matter-element model is expressed with a normal cloud model with randomness and fuzziness considered, the relation between various simulation training reliability evaluation indexes and the evaluation intervals of various evaluation result levels is quantified with the correlation function, conversion between quantitative calculation and the qualitative concept is achieved, and finally a power distribution network three-dimensional simulation training credibility evaluation result is worked out according to the maximum membership degree principle. Finally, with a power outage cable replacement subsystem as the embodiment, the credibility of the power outage cable replacement subsystem is evaluated, which shows the superiority and feasibility of the cloud matter-element algorithm. The cloud matter-element algorithm with the cloud model and the matter-element model combined is adopted to evaluate the credibility of power distribution network training simulation, wherein the correlation function of the matter-element model is expressed with the normal cloud model, expert scoring uncertainty is considered, and qualitative index quantification is achieved.

Description

technical field [0001] The invention relates to the evaluation of the credibility of distribution network three-dimensional simulation training, in particular to a method for evaluating the reliability of distribution network three-dimensional simulation training based on a cloud matter-element model. Background technique [0002] Distribution network training simulation is a relatively new field of power training simulation research in the past two years, and the research on the reliability of distribution network training simulation is still in its infancy. Distribution network training simulation is different from numerical simulation. It does not only look at the error between the simulated value and the actual value, but also includes the visual experience brought by the animation performance, the auditory experience brought by the sound, and the impact of the operating environment on the response speed. , Whether the setting of operation steps is standardized, whether ...

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Application Information

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IPC IPC(8): G06F17/50G09B23/18
CPCG06F30/20G09B23/188Y02E60/00
Inventor 来文青陈丽云周岩林燕贞乔卉龚庆武
Owner EAST INNER MONGOLIA ELECTRIC POWER COMPANY
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