阅读说明：本技术 考虑环境因素修正电晕笼内空间电荷密度预测方法及系统 (Method and system for correcting space charge density prediction in corona cage by considering environmental factors ) 是由 刘宏波 廖瑞金 张玉敏 周生奇 王超 王立强 菅学辉 董文妍 温建春 李辰 苗骁 于 2021-06-23 设计创作，主要内容包括：本发明属于空间电荷密度预测领域,提供了一种考虑环境因素修正电晕笼内空间电荷密度预测方法及系统。其中,该方法包括获取导线施加电压、导线半径以及环境参数,所述环境参数包括气体温度、气体相对湿度和气体气压参数；基于导线施加电压、导线半径、环境参数以及空间电荷密度预测模型,预测出电晕笼内空间电荷密度；其中,空间电荷密度预测模型为：y-(c)＝-k-(0)+k-(1)T-k-(2)H-k-(3)A+k-(4)V+k-(5)R；其中y-(c)代表空间电荷密度,T表示气体温度,A表示气体气压,H为气体相对湿度,V为导线施加电压大小,R表示导线半径,k-(0)、k-(1)、k-(2)、k-(3)、k-(4)和k-(5)均为常系数。(The invention belongs to the field of space charge density prediction, and provides a method and a system for correcting space charge density prediction in a corona cage by considering environmental factors. The method comprises the steps of obtaining a lead applied voltage, a lead radius and environmental parameters, wherein the environmental parameters comprise gas temperature, gas relative humidity and gas pressure parameters; predicting the space charge density in the corona cage based on the wire applied voltage, the wire radius, the environmental parameters and the space charge density prediction model; the space charge density prediction model is as follows: y is c ＝‑k 0 +k 1 T‑k 2 H‑k 3 A+k 4 V+k 5 R; wherein y is c Representing space charge density, T representing gas temperature, A representing gas pressure, H representing gas relative humidity, V representing wire applied voltage, R representing wire radius, k 0 、k 1 、k 2 、k 3 、k 4 And k 5 All are constant coefficients.)

1. A method for predicting space charge density in a corona cage by considering environmental factors, which is characterized by comprising the following steps:

acquiring applied voltage of a lead, radius of the lead and environmental parameters, wherein the environmental parameters comprise gas temperature, gas relative humidity and gas pressure parameters;

predicting the space charge density in the corona cage based on the wire applied voltage, the wire radius, the environmental parameters and the space charge density prediction model;

the space charge density prediction model is as follows:

y_c＝-k₀+k₁T-k₂H-k₃A+k₄V+k₅R

wherein y is_cRepresenting space charge density, T representing gas temperature, A representing gas pressure, H representing gas relative humidity, V representing wire applied voltage, R representing wire radius, k₀、k₁、k₂、k₃、k₄And k₅All are constant coefficients.

2. The method for predicting space charge density in a corona cage based on environmental factor correction as claimed in claim 1, wherein said space charge density prediction model is obtained by multiple linear regression method.

3. The method for predicting space charge density in a corona cage based on environmental factor correction as claimed in claim 1, wherein the space charge density prediction model is:

y_c＝-1.881+0.009T-0.002H-0.819A+0.046V+1.134R。

4. the method for correcting the space charge density prediction in the corona cage in consideration of environmental factors as recited in claim 1, wherein the gas pressure is adjusted by means of a plexiglas box and a vacuum pump during the construction of the space charge density prediction model.

5. A system for correcting a space charge density prediction in a corona cage in view of environmental factors, comprising:

the device comprises a parameter acquisition module, a parameter acquisition module and a parameter processing module, wherein the parameter acquisition module is used for acquiring the applied voltage of a lead, the radius of the lead and environmental parameters, and the environmental parameters comprise gas temperature, gas relative humidity and gas pressure parameters;

the space charge density prediction module is used for predicting the space charge density in the corona cage based on the wire applied voltage, the wire radius, the environmental parameters and the space charge density prediction model;

the space charge density prediction model is as follows:

y_c＝-k₀+k₁T-k₂H-k₃A+k₄V+k₅R

wherein y is_cAnd represents space charge density, T represents gas temperature, A represents gas pressure, H represents gas relative humidity, V represents wire applied voltage, and R represents wire radius.

6. The system for space charge density prediction in a corona cage with consideration to environmental factors of claim 5 wherein said space charge density prediction model is derived from a multiple linear regression method.

7. The system for space charge density prediction in a corona cage with consideration of environmental factors of claim 5 wherein the space charge density prediction model is:

y_c＝-1.881+0.009T-0.002H-0.819A+0.046V+1.134R。

8. the system for space charge density prediction in a corona cage with environmental factor correction of claim 5 wherein gas pressure is adjusted by a plexiglas chamber and a vacuum pump during construction of said space charge density prediction model.

9. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the method for correcting a space charge density prediction in a corona cage taking into account environmental factors as set forth in any one of claims 1 to 4.

10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method of any of claims 1-4 for correcting a space charge density prediction in a corona cage in consideration of environmental factors.

Technical Field

The invention belongs to the field of space charge density prediction, and particularly relates to a method and a system for correcting space charge density prediction in a corona cage by considering environmental factors.

Background

The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.

The existence of space charge in gas can influence the corona discharge characteristic of the transmission line and the ion current field distribution around the line, and is directly related to the engineering design and electromagnetic environment evaluation of the ultra/ultra-high voltage transmission line. At present, a numerical calculation method is a widely adopted means for researching space charge distribution in gas, but the calculation result of the space charge distribution is different from the actual distribution situation due to the arrangement of various assumptions in an algorithm, and the calculation result is more prominent under the influence factors of complex environments; in the prior art, space charge density in the atmosphere is measured by utilizing a sounding balloon and an electric field instrument when a thunderstorm occurs, but the distribution of the original charge density can be changed by introducing the electric field instrument; the prior art provides a construction of a space charge density test platform in gas, but does not obtain the actual distribution result of the space charge density. The inventor finds that the measurement accuracy of the gas space charge is limited by the hardware of a measurement system and a data analysis method, and the research progress is slow in recent years, so that the gas space charge measurement method is a recognized problem at home and abroad.

Disclosure of Invention

In order to solve the technical problems in the background art, the invention provides a method and a system for predicting space charge density in a corrected corona cage by considering environmental factors, which can accurately predict the space charge density in the corona cage.

In order to achieve the purpose, the invention adopts the following technical scheme:

a first aspect of the invention provides a method for correcting a space charge density prediction in a corona cage in consideration of environmental factors.

A method for correcting a space charge density prediction in a corona cage in consideration of environmental factors, comprising:

acquiring applied voltage of a lead, radius of the lead and environmental parameters, wherein the environmental parameters comprise gas temperature, gas relative humidity and gas pressure parameters;

predicting the space charge density in the corona cage based on the wire applied voltage, the wire radius, the environmental parameters and the space charge density prediction model;

the space charge density prediction model is as follows:

y_c＝-k₀+k₁T-k₂H-k₃A+k₄V+k₅R

wherein y is_cRepresenting space charge density, T representing gas temperature, A representing gas pressure, H representing gas relative humidity, V representing wire applied voltage, R representing wire radius, k₀、k₁、k₂、k₃、k₄And k₅All are constant coefficients.

A second aspect of the invention provides a system for correcting a space charge density prediction in a corona cage in view of environmental factors.

A system for correcting a space charge density prediction in a corona cage in view of environmental factors, comprising:

the device comprises a parameter acquisition module, a parameter acquisition module and a parameter processing module, wherein the parameter acquisition module is used for acquiring the applied voltage of a lead, the radius of the lead and environmental parameters, and the environmental parameters comprise gas temperature, gas relative humidity and gas pressure parameters;

the space charge density prediction module is used for predicting the space charge density in the corona cage based on the wire applied voltage, the wire radius, the environmental parameters and the space charge density prediction model;

the space charge density prediction model is as follows:

y_c＝-k₀+k₁T-k₂H-k₃A+k₄V+k₅R

wherein y is_cRepresenting space charge density, T representing gas temperature, A representing gas pressure, H representing gas relative humidity, V representing wire applied voltage, R representing wire radius, k₀、k₁、k₂、k₃、k₄And k₅All are constant coefficients.

A third aspect of the invention provides a computer-readable storage medium.

A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method for correcting a space charge density prediction in a corona cage in consideration of environmental factors as described above.

A fourth aspect of the invention provides a computer apparatus.

A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the method for correcting a space charge density prediction in a corona cage in consideration of environmental factors as described above when executing the program.

Compared with the prior art, the invention has the beneficial effects that:

according to the method, based on the result of quantitative distribution of the space charge density of the gas under the influence of multiple factors, a space charge density prediction model under the correction of considering environmental factors is constructed, and based on the wire applied voltage, the wire radius, the environmental parameters and the space charge density prediction model, the prediction accuracy of the space charge density in the corona cage is improved.

Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.

FIG. 1 is a flow chart of a method for correcting space charge density prediction in a corona cage in consideration of environmental factors according to an embodiment of the present invention;

FIG. 2 is a graph comparing predicted values and actual measured values of a space charge density prediction method according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of a system for predicting space charge density in a corona cage by considering environmental factors.

Detailed Description

The invention is further described with reference to the following figures and examples.

It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.

Example one

As shown in fig. 1, the present embodiment provides a method for predicting space charge density in a corona cage by considering environmental factors, which specifically includes the following steps:

step 1: acquiring applied voltage of a lead, radius of the lead and environmental parameters, wherein the environmental parameters comprise gas temperature, gas relative humidity and gas pressure parameters;

step 2: predicting the space charge density in the corona cage based on the wire applied voltage, the wire radius, the environmental parameters and the space charge density prediction model;

the space charge density prediction model is as follows:

y_c＝-k₀+k₁T-k₂H-k₃A+k₄V+k₅R

wherein y is_cRepresenting space charge density, T representing gas temperature, A representing gas pressure, H representing gas relative humidity, V representing wire applied voltage, R representing wire radius, k₀、k₁、k₂、k₃、k₄And k₅All are constant coefficients.

In a specific implementation, the space charge density prediction model is obtained according to a multiple linear regression method.

A probing platform with a space charge generation system, a signal receiving system and an acoustic emission system as carriers is built in a laboratory, the space charge in the corona cage is excited by using acoustic waves to vibrate, the vibrating space charge generates a changing electric field signal, and an electric field antenna is used for receiving the acoustic excitation electric field signal and performing inversion calculation to obtain the density distribution of the space charge.

In order to comprehensively analyze the influence of factors such as the size of applied voltage, the size of a lead, temperature, relative humidity, air pressure and the like on the space charge density distribution, the space charge measuring device is moved into an artificial climate chamber in the chapter, and the change of the charge density distribution characteristic is researched by adjusting the environment through the artificial climate chamber and a self-made air pressure chamber. The method comprises the steps of pretreating a lead sample before a test, wherein the pretreatment of the sample aims to clean and smooth the surface of the lead before the space charge density distribution measurement test is started, so that the roughness of the surface of the lead is kept as consistent as possible, and the influence of the roughness of the surface of the lead on the space charge measurement test is avoided.

The adjustment of the ambient temperature and the relative humidity in the experiment is mainly carried out in a climatic chamber. A space charge generating system (corona cage part) and a signal receiving system (low-frequency electric field antenna) are placed in an artificial climate chamber, the distribution characteristics of the space charge can be directly influenced by changing the temperature and the relative humidity in the climate chamber, and the electric field antenna can receive the changed electric field signal. Since the acoustic excitation system consists of a series of circuit boards, which may be damaged by direct placement in a high humidity environment, the acoustic excitation system is placed in the environment outside the climatic chamber, with the ultrasound transducer and the acoustic excitation system connected by thin wires.

When adjusting atmospheric pressure under the experimental environment, because the connection of thin wire makes the climatic chamber be difficult to maintain the stability of inside atmospheric pressure, consequently adjusts atmospheric pressure through organic glass case and vacuum pump. Similar to a phytotron, a corona cage and an ultrasonic transducer are arranged in a cylindrical organic glass box, and the joint of the thin lead and the organic glass cylinder is sealed by sealant. A plexiglas cavity with a length of 1.5m and a width of 0.5m has sufficient capacity to accommodate a space charge measurement system. Further, the limiting pressure of the vacuum pump was 0.06MPa, and the rotational speed was 1400 RPM. The gas pressure can be adjusted from 0.1MPa to 0.06MPa under the regulation of a vacuum pump. The air pressure sensors are arranged in the measuring device and distributed at different positions of the cavity, the pressure in the cavity can be monitored, detected data are transmitted to the digital instrument, and the reading tolerance of the monitoring sensors is less than +/-2%. The applied voltage is in the range of-31 kV to-46 kV, and the radius of the lead is 1.0mm, 1.5mm and 2.0 mm.

After space charge density distribution under the influence of different factors is obtained, research finds that the applied voltage, the wire size, the temperature, the relative humidity and the air pressure can generate independent influence on the space charge density distribution, and a certain linear correlation relation is presented between the given applied voltage, the wire size, the temperature, the relative humidity and the air pressure and the space charge density. Therefore, a multiple linear regression method is selected to analyze the comprehensive influence of the factors on the space charge density distribution.

28 sets of space charge experimental data of 11 applied voltages, 3 wire radii, 5 sets of gas temperatures, 6 sets of gas relative humidities and 5 sets of gas pressures were selected for establishing and verifying a space charge density distribution model. From 28 groups of samples, 20 groups of data were selected for model building, and the remaining 8 groups of data were used for later experimental validation of the prediction model. And establishing a multivariate linear regression model by taking the space charge density as a dependent variable and the applied voltage, the radius of the lead, the gas temperature, the gas relative humidity and the gas pressure as independent variables. The space charge density prediction model is as follows:

y_c＝-1.881+0.009T-0.002H-0.819A+0.046V+1.134R。

wherein y is_cRepresents space charge density (. times.10)^-4C/m³) T represents temperature (. degree. C.), A represents ambient air pressure (MPa), H represents relative humidity (%), V represents applied voltage level (kV), and R represents wire radius (mm).

And carrying out statistical test on the prediction model, and finding that the goodness-of-fit is equal to 0.95, the significance level is less than 0.01, and the residual error accords with normal distribution. In addition, 8 groups of experimental data are used for comparing the calculation results of the prediction models randomly set under the environmental conditions, as shown in fig. 2, the results show that the calculation values are high in coincidence degree with laboratories, and therefore the accuracy of the prediction models provided by the invention can be verified.

Example two

As shown in fig. 3, the present embodiment provides a system for predicting space charge density in a corona cage by considering environmental factors, which specifically includes the following modules:

the device comprises a parameter acquisition module, a parameter acquisition module and a parameter processing module, wherein the parameter acquisition module is used for acquiring the applied voltage of a lead, the radius of the lead and environmental parameters, and the environmental parameters comprise gas temperature, gas relative humidity and gas pressure parameters;

the space charge density prediction module is used for predicting the space charge density in the corona cage based on the wire applied voltage, the wire radius, the environmental parameters and the space charge density prediction model;

the space charge density prediction model is as follows:

y_c＝-k₀+k₁T-k₂H-k₃A+k₄V+k₅R

wherein y is_cRepresenting space charge density, T representing gas temperature, A representing gas pressure, H representing gas relative humidity, V representing wire applied voltage, R representing wire radius, k₀、k₁、k₂、k₃、k₄And k₅All are constant coefficients.

It should be noted that, each module of the present embodiment corresponds to each step of the first embodiment one to one, and the specific implementation process is the same, which will not be described herein again.

EXAMPLE III

The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method for correcting a space charge density prediction in a corona cage in consideration of environmental factors as described in the first embodiment above.

Example four

The present embodiment provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to perform the steps of the method for predicting a space charge density in a corona cage by considering environmental factors as described in the first embodiment.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.