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A Requirement Coefficient Analysis Method Based on Historical Collection Data of Distribution Transformer Time Series

A technology of distribution transformers and time series, applied in neural learning methods, electrical components, circuit devices, etc., can solve the problems of undiscussed dynamic characteristics of required coefficients and large values ​​of required coefficients, and achieve the effect of improving the evaluation ability of load rate

Active Publication Date: 2020-01-31
STATE GRID FUJIAN ELECTRIC POWER CO LTD +3
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Problems solved by technology

However, the value of the requirement coefficient given in the above-mentioned specification is too large. Relevant studies have used numerical regression analysis methods, mathematical statistics methods, and kernel density estimation Parzen window methods to make certain corrections to its value, but none of them discussed the requirement coefficient. Dynamic characteristics of coefficients changing with time

Method used

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  • A Requirement Coefficient Analysis Method Based on Historical Collection Data of Distribution Transformer Time Series
  • A Requirement Coefficient Analysis Method Based on Historical Collection Data of Distribution Transformer Time Series
  • A Requirement Coefficient Analysis Method Based on Historical Collection Data of Distribution Transformer Time Series

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Embodiment 1

[0016] This embodiment takes a single transformer in a provincial capital city as an example to illustrate the specific method of the present invention. The original data is a time series composed of the reported installed capacity of the transformer and the load variables related to the demand coefficient. The range of time series is from the 13th month of operation to the 48th month, a total of 36 sets of monthly data.

[0017] 1. Data collection.

[0018] Including the installed capacity of distribution transformers reported by residents in the distribution network, the maximum monthly three-phase current, phase voltage, current transformer transformation ratio CT and voltage transformer transformation ratio PT.

[0019] 2. Coefficient calculation is required.

[0020] The required coefficient calculation is shown in formula (1):

[0021]

[0022] In the formula, l is the maximum monthly load of the load user transformer, and L is the installed capacity of the user lo...

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Abstract

The invention discloses a power distribution transformer time sequence-based demand coefficient analysis method of historical acquisition data. By analyzing time sequence-based demand coefficient historical data, an inherent law is mined, and a development trend in future is further forecasted. By the method, the dynamic characteristic of a demand coefficient with time change is fully considered, the demand coefficient forecast value of next month is acquired by employing a data mining algorithm, the load ratio estimation capability of a power distribution transformer is improved, and data support is provided for relevant operation of a power grid department.

Description

technical field [0001] The invention relates to a method for calculating the load rate of a distribution network transformer, in particular to a method for predicting the required coefficient of a distribution network resident load transformer. Background technique [0002] In recent years, with the rapid development of my country's economy, electricity consumption has increased sharply; users' requirements for power quality have been continuously improved, and the use of power transformers for residents in distribution networks has received widespread attention. In the actual operation of the distribution network, the installed capacity of residential load transformers may not all be connected to the distribution network, and the capacity connected to the distribution network changes with time. Studying the ratio of the actual access capacity of distribution transformers to the installed capacity of distribution transformers can not only better guide the scientific and reas...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00G06N3/08
CPCG06N3/08H02J3/00H02J3/003H02J2203/20
Inventor 郑佩祥夏圣峰庄玉林郑勇陈辉河李函江南黄毅标陈祥伟刘楷董学松
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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