Data-driven electric quantity sensor error online evaluation closed-loop improvement method and system and medium

A power sensor, data-driven technology, applied in the measurement of electrical variables, instruments, measuring devices, etc., can solve the problems of weak generalization of the deduction method and inaccurate deduction results, so as to improve the accuracy of the deduction of the results and the realization method is efficient. Safety and the effect of improving generalizability

Active Publication Date: 2020-06-12
STATE GRID HUNAN ELECTRIC POWER +2
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Problems solved by technology

[0005] Technical problem to be solved by the present invention: Aiming at the deficiencies of the existing open-loop measurement error deduction technology, a data-driven closed-loop improvement method, system and medium for online evaluation of electric quantity sensor errors are provided. The present invention adopts a closed-loop operation method to realize electric quantity Online sensor error evaluation does not require on-site testing, does not need to change the topology of the physical system, does not affect the physical operation, and at the same time can solve the problem of poor generalization of the open-loop measurement error deduction method and inaccurate deduction results to a certain extent. Effectively improve the accuracy of the deduction results, improve the generalization of the deduction model, and have the advantages of efficient and safe implementation methods without affecting the physical system

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  • Data-driven electric quantity sensor error online evaluation closed-loop improvement method and system and medium
  • Data-driven electric quantity sensor error online evaluation closed-loop improvement method and system and medium
  • Data-driven electric quantity sensor error online evaluation closed-loop improvement method and system and medium

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Embodiment 1

[0048] Such as figure 1 As shown, the implementation steps of the data-driven online evaluation closed-loop improvement method for electric quantity sensor error in this embodiment include:

[0049] 1) Initialize the number of iterations n and the number of error deduction Q;

[0050] 2) Create the sensor data correction model set S of the nth iteration n ;

[0051] 3) Synchronously collect the sensing data of the power sensor group according to the time series and generate the sensing data set DATA;

[0052] 4) Correct the model set S according to the sensing data of the nth iteration n Generating the sensor data correction coefficient set A after the nth iteration n , modify the coefficient set A according to the sensing data n Generate correction data set DATA'(n) with sensing data set DATA;

[0053] 5) Update the value of the error derivation times Q, and perform power sensor error deduction on the corrected data set DATA'(n) according to the open-loop data-driven al...

Embodiment 2

[0106] This embodiment is basically the same as Embodiment 1, and the main difference is that the sensing data correction model in this embodiment is a PID-like correction model, and its function expression is shown in the following formula:

[0107]

[0108] In the above formula, S Ln Represents the dynamic step-by-step correction model of the nth iteration of any L-th power sensor, E Ln E L(n-1) It is the result of the n-1th error deduction model implemented by the Lth power sensor error deduction model, K a 、K b 、K c is the PID coefficient, n is the number of iterations, and m is the iterative evolution scale of the modified model. In this embodiment, the PID-like coefficient K is set a =5,K b =0.1,K c = 0.5. In particular, when n=0, S Ln =1. image 3 For this embodiment, based on the PID-like correction model, the closed-loop iterative derivation of the gradual change process of the measurement error, image 3 It can also be seen that the more the number of i...

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Abstract

The invention discloses a data-driven electric quantity sensor error online evaluation closed-loop improvement method and system and a medium. The method comprises the steps of creating an electric quantity sensor data correction model set of the nth iteration; acquiring electric quantity sensing data to generate a sensing data set; generating an electric quantity sensing data correction coefficient set after the nth iteration according to the electric quantity sensing data correction model set, and correcting the electric quantity sensing data set to generate a correction data set; carrying out electric quantity and electric quantity sensor error deduction on the correction data set according to an open-loop data driving algorithm to form a deduction result; if the end condition is not met, updating the number n of iterations and the electric quantity sensing data correction model, accumulating an electric quantity sensing data correction coefficient set, and continuing iteration; otherwise, outputting an iterative result. The invention does not need field tests, does not need to change the topology of a physical system, does not affect physical operation, can effectively improvethe result deduction accuracy, improves the generalization of a deduction model, achieves high efficiency and safety, and does not affect the physical system.

Description

technical field [0001] The invention relates to an error evaluation method for an electric quantity sensor during operation, in particular to a data-driven electric quantity sensor error online evaluation closed-loop improvement method, system and medium. Background technique [0002] Sensors are an important device for measuring physical parameters and a key medium connecting the physical world and the information world. With the continuous development and wide application of big data, the Internet of Things, and 5G communication technologies, the demand for cyber-physical fusion is increasing, and the role of the basic structure of sensor networks is becoming more and more important. Its reliability and accuracy directly determine the effectiveness of the cyber-physical fusion process. , need to carry out error evaluation. Especially for power sensors, which involve trade settlement, safety protection and other purposes, they are measuring instruments that are mandatory f...

Claims

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Application Information

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IPC IPC(8): G01R35/04
CPCG01R35/04
Inventor 李恺陈向群谈丛谭海波解玉满杨方黄红桥周宇烨卜文彬王海元
Owner STATE GRID HUNAN ELECTRIC POWER
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