CN111985113B - Method and device for predicting noise of power transmission line - Google Patents

Method and device for predicting noise of power transmission line Download PDF

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CN111985113B
CN111985113B CN202010888549.4A CN202010888549A CN111985113B CN 111985113 B CN111985113 B CN 111985113B CN 202010888549 A CN202010888549 A CN 202010888549A CN 111985113 B CN111985113 B CN 111985113B
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corona
transmission line
determining
photon
test point
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CN111985113A (en
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周尚虎
韩梦龙
海景雯
康钧
王海亭
李生龙
李玉海
莫冰玉
郭冠军
杨雅萍
王志惠
王生杰
曲全磊
王生富
刘高飞
包正红
蒋玲
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State Grid Corp of China SGCC
State Grid Qinghai Electric Power Co Ltd
Electric Power Research Institute of State Grid Qinghai Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Qinghai Electric Power Co Ltd
Electric Power Research Institute of State Grid Qinghai Electric Power Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/26Measuring noise figure; Measuring signal-to-noise ratio
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/04Power grid distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/16Cables, cable trees or wire harnesses
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/10Noise analysis or noise optimisation

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  • General Engineering & Computer Science (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The application discloses a method and a device for predicting power transmission line noise. Wherein the method comprises the following steps: establishing a scene model of the power transmission line according to the characteristic information of the power transmission line; determining acoustic power of corona photonic clusters in the power transmission line in a scene model; and predicting the noise value of the test point according to the acoustic power of the corona photon cluster, wherein the test point is a test point with the distance from the power transmission line within a preset range. The method solves the technical problem that the noise below the transmission line cannot be accurately detected by adopting the traditional detection method because audible noise generated by corona of the high-altitude overhead transmission line is relatively large.

Description

Method and device for predicting noise of power transmission line
Technical Field
The present disclosure relates to the field of power transmission line noise prediction, and in particular, to a method and an apparatus for predicting power transmission line noise.
Background
Due to the high voltage level and high altitude, the influence of audible noise generated by line corona on the environment is more obvious, and although a large number of technical means are adopted in engineering design to inhibit the generation of corona, the problem of corona noise disturbance is still more concerned. Especially, with the continuous perfection and soundness of environmental protection regulations in China and the gradual enhancement of national environmental protection consciousness, the environmental protection pressure faced by audible noise of high-altitude overhead transmission lines is larger and larger, which puts higher requirements on the design and construction of high-voltage transmission lines: the method meets the power growth requirement, promotes the social and economic development, and simultaneously has to make environmental impact prediction and evaluation, ensure that the power grid can fully meet the environmental protection standard requirement, and realize the sustainable development of power grid enterprises. Currently, in the evaluation of the environmental impact of an alternating current overhead transmission line, the evaluation is mainly finished by means of actual measurement analogy. However, the on-site actual measurement has large climate change, limited test time conforming to good detection conditions and low working efficiency; the influence of instruments, testers and background noise is large, and although the influence is corrected to a certain extent according to the standard, a relatively accurate result is still difficult to obtain, and the influence condition of the corona noise of the overhead transmission line is objectively and truly reflected. This problem can be well solved if the noise level of the surrounding environment can be predicted by knowing the sound source size like a normal sound source. However, the corona onset point is near the wire with higher voltage and is influenced by the safety distance, so that the size of the corona onset point is difficult to accurately measure by the conventional means.
The audible noise generated by corona of the high-altitude overhead transmission line is relatively large, the traditional detection method is often influenced by large wind speed and background noise, the ideal test period is limited, and the accuracy cannot be fully ensured; meanwhile, due to the limitation of the charged safety distance, the problem of the noise below the high-altitude overhead transmission line cannot be predicted by measuring the noise of the corona photon group, and no effective solution is proposed at present.
Disclosure of Invention
The embodiment of the application provides a method and a device for predicting noise of a power transmission line, which are used for at least solving the technical problem that the noise below the power transmission line cannot be accurately detected by adopting a traditional detection method because audible noise generated by corona of the high-altitude overhead power transmission line is relatively large.
According to an aspect of an embodiment of the present application, there is provided a method for predicting noise of a power transmission line, including: establishing a scene model of the power transmission line according to the characteristic information of the power transmission line; determining acoustic power of corona photonic clusters in the power transmission line in a scene model; and predicting the noise value of the test point according to the acoustic power of the corona photon cluster, wherein the test point is a test point with the distance from the power transmission line within a preset range.
Optionally, before determining the acoustic power of the corona bolus in the transmission line, the method further comprises: and determining the acoustic power of the corona photon cluster with the unit photon number in the power transmission line.
Optionally, determining the acoustic power of the corona bolus of photons per photon number in the transmission line includes: respectively determining the space coordinates of a first corona photon group and a second corona photon group in the power transmission line; determining a first distance between the first corona photon group and the test point according to the space coordinates of the first corona photon group, and determining a second distance between the second corona photon group and the test point according to the space coordinates of the second corona photon group; and determining the acoustic power of the corona photon group with the unit photon number in the power transmission line according to the first distance and the second distance.
Optionally, before determining the acoustic power of the corona bolus of photons per photon number in the transmission line according to the first distance and the second distance, the method further comprises: determining a first attenuation amount of the first corona photon group to the test point due to geometric divergence according to the first distance, and determining a second attenuation amount of the second corona photon group to the test point due to geometric divergence according to the second distance; determining a third attenuation amount of the first corona photon group to the test point due to atmospheric absorption according to the first distance, and determining a fourth attenuation amount of the second corona photon group to the test point due to atmospheric absorption according to the second distance; and determining a fifth attenuation amount of the first corona photon group to the test point due to the ground effect according to the first distance, and determining a sixth attenuation amount of the second corona photon group to the test point due to the ground effect according to the second distance.
Optionally, before determining the acoustic power of the corona bolus of photons per photon number in the transmission line according to the first distance and the second distance, the method further comprises: and obtaining background noise of the test point under a preset octave frequency band and continuous equivalent Z sound level of the test point.
Optionally, determining the acoustic power of the corona bolus of photons per photon number in the transmission line according to the first distance and the second distance includes: and determining the acoustic power of the corona photon group with the number of photons per unit in the power transmission line according to the first attenuation amount, the second attenuation amount, the third attenuation amount, the fourth attenuation amount, the fifth attenuation amount, the sixth attenuation amount, the continuous equivalent Z sound level of the test point and the background noise of the test point under the preset octave frequency band.
Optionally, determining the acoustic power of the corona bolus in the transmission line includes: and determining the acoustic power of the corona photon clusters in the electric line according to the total number of the corona photon clusters in the electric line and the acoustic power of the corona photon clusters in the unit photon number.
Optionally, establishing a scene model of the power transmission line according to the characteristics of the power transmission line includes: determining at least one of the following parameters of a scene where the power transmission line is located: the size of the scene, the base point coordinates of the scene, the altitude at which the scene is located, the temperature and humidity of the scene, and the background noise of the scene.
Optionally, predicting the noise value of the test point according to the acoustic power of the corona bolus comprises: searching the spectrum attenuation of the acoustic power of the corona photon group at the test point from a preset atmospheric absorption coefficient table according to at least one parameter of a scene where the power transmission line is located; determining the spectrum noise of the test point according to the acoustic power and the spectrum attenuation of the corona photon cluster; and determining the noise value of the continuous equivalent A sound level of the test point according to the spectrum noise of the test point.
According to another aspect of the embodiments of the present application, there is further provided a device for predicting noise of a power transmission line, including: the building module is used for building a scene model of the power transmission line according to the characteristic information of the power transmission line; the determining module is used for determining the acoustic power of the corona photon group in the power transmission line in the scene model; the prediction module is used for predicting the noise value of the test point according to the acoustic power of the corona photon group, wherein the test point is a test point with the distance from the power transmission line within a preset range.
According to still another aspect of the embodiments of the present application, there is further provided a computer readable storage medium, where the computer readable storage medium includes a stored program, and when the program runs, the apparatus where the computer readable storage medium is controlled to execute the above method for predicting power transmission line noise.
According to still another aspect of the embodiments of the present application, there is further provided a processor, configured to execute a program stored in a memory, where the program executes the above method for predicting power transmission line noise.
In the embodiment of the application, a scene model of the power transmission line is established according to the characteristic information of the power transmission line; determining acoustic power of corona photonic clusters in the power transmission line in a scene model; according to the method, the noise value of a test point is predicted according to the acoustic power of a corona photon group, the test point is a test point with the distance from a power transmission line within a preset range, and the distribution condition of noise under the line is predicted by testing the size of the corona point of an overhead alternating current wire, so that the prediction analysis capability of the audible noise environment influence of the high-altitude overhead power transmission line is greatly improved, the technical effects of technical support and reference are provided for the engineering construction of the high-altitude area alternating current overhead power transmission line, and the technical problem that the audible noise generated by corona of the high-altitude overhead power transmission line is relatively large, and the noise size under the power transmission line cannot be accurately detected by adopting a traditional detection method is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a flowchart of a method for predicting transmission line noise according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a photonic burst distribution of a single-loop transmission line in accordance with embodiments of the present application;
fig. 3 is a schematic diagram of a method for predicting transmission line noise according to an embodiment of the present application;
FIG. 4 is a site survey point layout of a 330KV overhead transmission line according to an embodiment of the present application;
FIG. 5 is a graph showing the comparison of predicted and measured equivalent A sound levels at 1-9 points;
fig. 6 is a block diagram of a prediction apparatus for power transmission line noise according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present application, there is provided an embodiment of a method for predicting transmission line noise, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different from that herein.
The mechanism of audible noise generation on the power line is explained first as follows:
when the transmission line works, an electric field exists near the lead. Due to cosmic rays and other effects, there are a large number of free electrons in the air, which are accelerated by the electric field and strike gas molecules. The degree of acceleration of free electrons increases with increasing electric field strength, as does the energy accumulated by the free electrons before they strike the gas atoms. If the electric field strength reaches the critical value of gas ionization, the energy accumulated by free electrons before impact is enough to impact electrons from gas atoms and generate new ions, at this time, air in a small range near the wire starts to ionize, if the electric field strength near the wire is large enough to aggravate gas ionization, a large amount of electron collapse is formed, and a large amount of electrons and positive and negative ions are generated. The electric field strength is larger near the surface of the wire, and gradually decreases with increasing distance from the wire. Therefore, the ionization region caused by the electric field strength of the transmission line cannot be expanded to be large, and can be limited to a small region near the transmission line. Collisions between electrons and gas atoms such as nitrogen and oxygen in the air are mostly elastic collisions, and electrons lose only a part of their kinetic energy during collisions. When an electron strikes an atom with a sufficient intensity, the atom is excited to a higher energy state, which alters the orbital state of one or more electrons, while the impinging electron loses some of its kinetic energy. The excited atoms may then return to normal, releasing energy in the process, producing photons. Electrons may also collide with positive ions, converting them to neutral atoms, a process known as radiative recombination, which also gives off excess energy. Along with ionization, recombination and other processes, a large number of photons are radiated, blue halation can be seen in the dark in the space near the wires, and a hissing sound is also generated, namely corona. This particular form of gas discharge is known as corona discharge and is also the basic principle of audible noise generation in overhead transmission lines.
As altitude increases, there is a decrease in atmospheric pressure and a decrease in relative air density. For the lines with the same surface field intensity, the average free travel of charged particles can be increased due to the fact that the relative density of air is reduced, the energy is higher than that of low-altitude areas before air molecules are collided, the probability that collision kinetic energy is larger than electron free energy is increased, and finally the corona discharge probability of the lines is increased, so that corona onset voltage is reduced and noise level is improved. In addition, the strong ultraviolet radiation in high altitude areas can cause the increase of the number of free electrons around the lead wires, can promote the occurrence of corona discharge and correspondingly increase audible noise. In this way, according to the traditional overhead transmission line noise prediction method, the increase of corona noise is increased by about 0.3dB when the altitude is increased by 100m, so that the influence of altitude change on noise is roughly estimated. Therefore, the audible noise level has become an important consideration in line structure design and wire selection when conducting line construction in high altitude areas.
Fig. 1 is a flowchart of a method for predicting noise of a power transmission line according to an embodiment of the present application, as shown in fig. 1, the method includes the following steps:
step S102, a scene model of the power transmission line is established according to the characteristic information of the power transmission line.
Step S104, determining acoustic power of the corona bolus in the transmission line in the scene model.
According to the conventional noise meter measuring method, the closer the measuring point is to the sound source, the smaller the influence of other sound sources and background noise is, and the more accurate the test result data is. However, the overhead transmission line cannot meet such measurement conditions, and besides being influenced by the safety distance, the corona onset points may be more and the distance is closer, so that it is difficult to eliminate the interference between the corona onset points and obtain the magnitude of each corona noise. Ultraviolet imaging has been widely used in current engineering to monitor the corona intensity of overhead transmission lines, and monitoring finds that as the corona is stronger, the more photons of ultraviolet imaging, the more noise measured under the line is, and a certain positive correlation exists between the photons of the corona and the corona noise of the wire. The corona point position of the power transmission line is related to the surface condition of the lead, the corona point position is often unevenly distributed, and photon clusters which are often relatively concentrated are shot by an ultraviolet imager, so that once the mathematical relationship between the corona photon number and the corona clusters is established, the noise size of the point cloud clusters can be known, and then the noise size of any point in the space in a power transmission corridor can be obtained through sound source calculation. Therefore, the acoustic power of the photonic cluster per unit photon number is first obtained through experiments. Each photonic cluster is used as a sound source in the calculation, and the acoustic power generated by a single photonic sound source is assumed to be completely equal. Because the relation between the photon and the noise is established, the road section with obvious corona and better detection environment condition is selected, and only then, various external interferences can be reduced to the minimum, so that the size of the photon cluster sound source obtained by the test is ensured to be closer to a true value.
And S106, predicting the noise value of a test point according to the acoustic power of the corona photon group, wherein the test point is a test point with the distance from the power transmission line within a preset range.
Through the steps, the distribution condition of noise under the line is predicted by testing the corona point size of the overhead alternating current conductor, so that the prediction and analysis capability of the audible noise environment influence of the high-altitude overhead power transmission line is greatly improved, and technical effects of technical support and reference are provided for the engineering construction of the high-altitude area alternating current overhead power transmission line.
According to an alternative embodiment of the present application, it is also necessary to determine the acoustic power of the corona bolus per photon number in the transmission line before step S104 is performed.
In an alternative embodiment of the present application, the acoustic power of the corona bolus of photons per photon number in the transmission line is determined by: respectively determining the space coordinates of a first corona photon group and a second corona photon group in the power transmission line; determining a first distance between the first corona photon group and the test point according to the space coordinates of the first corona photon group, and determining a second distance between the second corona photon group and the test point according to the space coordinates of the second corona photon group; and determining the acoustic power of the corona photon group with the unit photon number in the power transmission line according to the first distance and the second distance.
In another optional embodiment of the present application, before determining the acoustic power of the corona photonic group of the unit photon number in the power transmission line according to the first distance and the second distance, determining a first attenuation amount of the first corona photonic group to the test point due to geometric divergence according to the first distance, and determining a second attenuation amount of the second corona photonic group to the test point due to geometric divergence according to the second distance; determining a third attenuation amount of the first corona photon group to the test point due to atmospheric absorption according to the first distance, and determining a fourth attenuation amount of the second corona photon group to the test point due to atmospheric absorption according to the second distance; and determining a fifth attenuation amount of the first corona photon group to the test point due to the ground effect according to the first distance, and determining a sixth attenuation amount of the second corona photon group to the test point due to the ground effect according to the second distance.
According to an alternative embodiment of the present application, before determining the acoustic power of the corona photon cluster of the unit photon number in the power transmission line according to the first distance and the second distance, it is further required to obtain the background noise of the test point under the preset octave band and the continuous equivalent Z sound level of the test point.
In another alternative embodiment of the present application, determining the acoustic power of the corona bolus of photons per photon number in the transmission line as a function of the first distance and the second distance comprises: and determining the acoustic power of the corona photon group with the number of photons per unit in the power transmission line according to the first attenuation amount, the second attenuation amount, the third attenuation amount, the fourth attenuation amount, the fifth attenuation amount, the sixth attenuation amount, the continuous equivalent Z sound level of the test point and the background noise of the test point under the preset octave frequency band.
FIG. 2 is a schematic diagram of a photonic crystal distribution of a single-circuit power transmission line according to an embodiment of the present application, wherein each of A, B two phases has a photonic crystal with relatively concentrated corona, and the spatial coordinates of the photonic crystal are A (x a ,y a ,z a )、B(x b ,y b ,z b ) Since corona noise can reach the level of environmental impact, rather than a small number of photons, often a group of thousands of photons, 1000 photons can be used as a reference unit, and the number of photons at two points A, B is assumed to be N1 and N2 thousands, respectively, for convenience of description. 5 measuring points are arranged below the corona section line in the direction perpendicular to the wire, the ground clearance is 1.5m, the space positions of the measuring points are (x 1, y1, 1.5), (x 2, y2, 1.5), (x 3, y3, 1.5), (x 4, y4, 1.5), (x 5, y5, 1.5), and the equivalent A sound level of the five measuring points and the 1/1 octave sound pressure level of the 31.5-8000Hz section are measured through a noise meter.
It should be noted that the photonic clusters in the a phase and the B phase in fig. 2 (i.e., the first corona photonic cluster and the second corona photonic cluster described above) may be located in any one of the a phase, the B phase, and the C phase circuits or in any two-phase circuit, and fig. 2 is merely an example.
Under a certain octave band, the Z sound level of the measuring point 1 is assumed to be L p The unit photon digital sound power is L w The background noise of the multiple frequency band is L E A, B acoustic power L at two corona points wA 、L wB The method comprises the following steps of:
A. b distance r from two corona points to test point 1 A (the first distance mentioned above) and r B (the second distances described above) are respectively:
A. b two CoronasAttenuation A of Point-to-Point test Point 1 due to geometric divergence divA (first attenuation amount) and A divB The (second attenuation amounts) are respectively:
A divA =20lg(r A ) (5)
A divB =20lg(r B ) (6)
assuming that the atmospheric attenuation coefficient is alpha according to the test temperature and humidity, A, B the attenuation amount A of the test point 1 from two corona points to the test point 1 caused by atmospheric absorption atmA (third attenuation amount) and A atmB The (fourth attenuation amounts) are respectively:
A. attenuation A of two corona points to test point 1 caused by ground effect grA (fifth attenuation amount) and A grB The (sixth attenuation amount) is calculated as 0 if the calculation result is smaller than 0 as shown in the formula (9) and the formula (10), respectively.
The noise of the test point is the combination of the noise generated by each corona point and the environmental noise, so the method comprises the following steps:
by the above formula, the following can be obtained by combining the formulas (1) and (2):
by adopting the formula, a plurality of test points of a certain octave can obtain a plurality of L of the octave band w Fitting analysis of these values yields the unit photon acoustic power level for that octave band.
According to the deduction method, according to the line corona and noise detection experimental result with the altitude of 2100m, the sound power level spectrum value of the unit photon group (the photon number is 1000) sound source is calculated and obtained, and the spectrum value is shown in table 1. In other actual engineering noise prediction, the calculation can be performed according to the related parameters of the photon group detected by the ultraviolet imager and the acoustic power spectrum value of the photon group sound source in table 1.
TABLE 1 altitude 2100m unit bolus-acoustic power level spectral values
According to an alternative embodiment of the present application, the acoustic power of the corona bolus in the transmission line is determined when step S102 is performed by: and determining the acoustic power of the corona photon clusters in the power transmission line according to the total number of the corona photon clusters in the power transmission line and the acoustic power of the corona photon clusters in the unit photon number.
In the above, the acoustic power of the corona photon group with the unit photon number is calculated, and the total acoustic power of the corona photon group in the power transmission line can be calculated according to the total number of the corona photon groups in the power transmission line.
According to an alternative embodiment of the present application, step S102 may be implemented by: determining at least one of the following parameters of a scene where the power transmission line is located: the size of the scene, the base point coordinates of the scene, the altitude at which the scene is located, the temperature and humidity of the scene, and the background noise of the scene.
According to an alternative embodiment of the present application, step S106 may be implemented by: searching the spectrum attenuation of the acoustic power of the corona photon group at the test point from a preset atmospheric absorption coefficient table according to at least one parameter of a scene where the power transmission line is located; determining the spectrum noise of the test point according to the acoustic power and the spectrum attenuation of the corona photon cluster; and determining the noise value of the continuous equivalent A sound level of the test point according to the spectrum noise of the test point.
Fig. 3 is a schematic diagram of a method for predicting noise of a power transmission line according to an embodiment of the present application, where, as shown in fig. 3, scene modeling is used to determine a size of a scene, coordinates of a base point of the scene, an altitude at which the scene is located, a temperature and humidity of the scene, and background noise of the scene. The photonic group distribution data determines the three-dimensional spatial position of the photonic group in the scene, and the number of photonic units of the photonic group. And calculating noise distribution, namely calculating the noise value at the predicted point by checking a photon-noise relation table and an atmospheric absorption coefficient table according to the scene model and photon group distribution data.
The above method is described below with an engineering example:
fig. 4 is a layout diagram of on-site measurement points of a 330KV overhead transmission line according to an embodiment of the present application, as shown in fig. 4, a 330KV overhead transmission line 21# -22# tower is selected for prediction analysis, the altitude is 1900m, the wires are 2 split single loops, A, B, C three-phase wires are arranged in a triangle, the relative heights of two wires A, C are 15.5m, and the relative height of a middle B is 23.4m. The ultraviolet imager detects 9 relatively concentrated corona points, the photon numbers of which are respectively 4 ten thousand, 1.6 ten thousand, 5 ten thousand, 2.2 ten thousand, 8 ten thousand, 0.5 ten thousand, 2.5 ten thousand and 4.9 ten thousand, and the total photon number is 30.3 ten thousand. The spatial position of each corona photon cluster, the number of photons, and the spatial position of the underlying measurement point are shown in fig. 4. In the figure, 1-9 points are 9 measuring points along the vertical direction of a wire, the intervals between 1-8 measuring points are 5m, the intervals between 8 and 9 measuring points are 10m, the ground is basically horizontal, the ground clearance height of all the measuring points is 1.5m, and the audible noise continuous equivalent A sound level Leq (A) of the 9 measuring points, the 1/1 octave frequency spectrum value of Z metering weight and the background noise value are obtained through on-site actual measurement.
Table 2 audible noise measurements below overhead line
By using the predictive calculation model, according to corona distribution, a spectrum relation table of unit photon group-sound power level and background noise, the noise values of 1-9 points in original actual measurement are predicted, as shown in table 3:
TABLE 3 original measured point audible noise prediction
Comparing table 3 with table 2,1 to 9 point audible noise prediction error is obtained as shown in table 4. As can be seen from the above table 4, the predicted value of each point bit noise obtained by the model prediction is close to the actual measured value, although the error range of the spectrum value is within + -3.5 dB and slightly higher, the error range of the continuous equivalent A sound level Leq (A) is within-1.6-1.2 dB, so that the engineering requirement can be met.
Tables 4 1-9 Point audible noise prediction error
Fig. 5 is a graph showing a comparison of 1-9 point continuous equivalent a sound level predicted values and actual measured values, wherein the predicted value curves and the actual measured curves are basically identical. In addition, the unit photon group-sound power level spectrum relation table applied at this time is obtained under the condition that the altitude is 2100m, and the influence is not great when the unit photon group-sound power level spectrum relation table is used for analyzing the case of the altitude of 1900m, wherein the analysis is mainly caused by the fact that the analysis method calculates noise through the corona photon number, and the difference of the altitude is reflected through the photon number, so that compensation calculation is not needed in other ways, the prediction becomes more convenient and efficient, and besides the prediction analysis can be used for the prediction analysis of the corona audible noise of the high-altitude overhead transmission line, the analysis of the corona noise under other different altitude conditions can be realized.
The embodiment of the application provides the prediction of the audible noise environmental impact of the high-altitude overhead transmission line by adopting the corona method on the basis of evaluating and researching the audible noise environmental impact generated by the corona of the overhead transmission line in the high-altitude area. The relation between the corona photon number and the audible noise sound power level and a predictive calculation model are established, and the correctness of the method is verified through engineering examples. The method can overcome the defect that the traditional noise test is easily interfered by factors such as background noise, wind speed, altitude and the like, improves the accuracy of a test result, and improves the working efficiency; the prediction analysis capability of the audible noise environment influence of the high-altitude overhead transmission line is greatly improved, and technical support and reference are provided for the engineering construction of the alternating-current overhead transmission line in the high-altitude area.
Fig. 6 is a structural diagram of a prediction apparatus for noise of a power transmission line according to an embodiment of the present application, as shown in fig. 6, the apparatus includes:
the establishing module 60 is configured to establish a scene model of the power transmission line according to the characteristic information of the power transmission line.
A determining module 62 is used for determining the acoustic power of the corona bolus in the transmission line in the scene model.
The prediction module 64 is configured to predict a noise value of a test point according to acoustic power of the corona photon cluster, where the test point is a test point whose distance from the power transmission line is within a preset range.
It should be noted that, the preferred implementation manner of the embodiment shown in fig. 6 may refer to the related description of the embodiment shown in fig. 1, which is not repeated herein.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium comprises a stored program, and the equipment where the computer readable storage medium is located is controlled to execute the method for predicting the noise of the power transmission line when the program runs.
The computer-readable storage medium is for storing a program that performs the following functions: establishing a scene model of the power transmission line according to the characteristic information of the power transmission line; determining acoustic power of corona photonic clusters in the power transmission line in a scene model; and predicting the noise value of the test point according to the acoustic power of the corona photon cluster, wherein the test point is a test point with the distance from the power transmission line within a preset range.
The embodiment of the application also provides a processor, which is used for running a program stored in a memory, wherein the program runs to execute the above power transmission line noise prediction method.
The processor is configured to execute a program that performs the following functions: establishing a scene model of the power transmission line according to the characteristic information of the power transmission line; determining acoustic power of corona photonic clusters in the power transmission line in a scene model; and predicting the noise value of the test point according to the acoustic power of the corona photon cluster, wherein the test point is a test point with the distance from the power transmission line within a preset range.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a read-Only Memory (ROM), a random access Memory (RQHYJYM, RQHYJYndom QHYJYccess Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application and are intended to be comprehended within the scope of the present application.

Claims (8)

1. The method for predicting the noise of the power transmission line is characterized by comprising the following steps of:
establishing a scene model of the power transmission line according to the characteristic information of the power transmission line;
determining acoustic power of corona photonic clusters in the transmission line in the scene model;
predicting a noise value of a test point according to the acoustic power of the corona photon group, wherein the test point is a test point with a distance from the power transmission line within a preset range;
before determining the acoustic power of the corona bolus in the transmission line, the method further comprises: determining the acoustic power of a corona photon group with unit photon number in the power transmission line; determining the acoustic power of the corona photonic group of the unit photon number in the power transmission line, comprising: respectively determining the space coordinates of a first corona photon group and a second corona photon group in the power transmission line; determining a first distance between the first corona photon group and the test point according to the space coordinates of the first corona photon group, and determining a second distance between the second corona photon group and the test point according to the space coordinates of the second corona photon group; determining the acoustic power of the corona photon group of the unit photon number in the power transmission line according to the first distance and the second distance;
establishing a scene model of the power transmission line according to the characteristics of the power transmission line, wherein the scene model comprises the following steps: determining at least one of the following parameters of a scene where the power transmission line is located: the method comprises the steps of determining the size of a scene, the base point coordinates of the scene, the altitude of the scene, the temperature and humidity of the scene and the background noise of the scene;
predicting a noise value of a test point according to the acoustic power of the corona photon cluster, wherein the method comprises the following steps: searching the frequency spectrum attenuation of the acoustic power of the corona photon group at the test point from a preset atmospheric absorption coefficient table according to at least one parameter of the scene where the power transmission line is located; determining the spectrum noise of the test point according to the acoustic power of the corona photon group and the spectrum attenuation; and determining the noise value of the continuous equivalent A sound level of the test point according to the spectrum noise of the test point.
2. The method of claim 1, wherein prior to determining the acoustic power of the corona bolus of photons per photon number in the transmission line as a function of the first distance and the second distance, the method further comprises:
determining a first attenuation amount of the first corona photon group to the test point caused by geometric divergence according to the first distance, and determining a second attenuation amount of the second corona photon group to the test point caused by geometric divergence according to the second distance;
determining a third attenuation amount of the first corona photon group to the test point caused by atmospheric absorption according to the first distance, and determining a fourth attenuation amount of the second corona photon group to the test point caused by atmospheric absorption according to the second distance;
and determining a fifth attenuation amount of the first corona photon group to the test point due to the ground effect according to the first distance, and determining a sixth attenuation amount of the second corona photon group to the test point due to the ground effect according to the second distance.
3. The method of claim 2, wherein prior to determining the acoustic power of the corona bolus of photons per photon number in the transmission line as a function of the first distance and the second distance, the method further comprises:
and obtaining the background noise of the test point under the preset octave band and the continuous equivalent Z sound level of the test point.
4. A method according to claim 3, wherein determining the acoustic power of the corona bolus of photons per photon number in the transmission line as a function of the first distance and the second distance comprises:
and determining the sound power of the corona photon group with the unit photon number in the power transmission line according to the first attenuation amount, the second attenuation amount, the third attenuation amount, the fourth attenuation amount, the fifth attenuation amount, the sixth attenuation amount, the continuous equivalent Z sound level of the test point and the background noise of the test point under a preset octave frequency band.
5. The method of claim 1, wherein determining the acoustic power of the corona bolus in the electrical transmission line comprises:
and determining the acoustic power of the corona photon clusters in the power transmission line according to the total number of the corona photon clusters in the power transmission line and the acoustic power of the corona photon clusters of the unit photon number.
6. A power transmission line noise prediction apparatus, comprising:
the building module is used for building a scene model of the power transmission line according to the characteristic information of the power transmission line;
the determining module is used for determining the acoustic power of the corona photon group in the power transmission line in the scene model;
the prediction module is used for predicting the noise value of a test point according to the acoustic power of the corona photon group, wherein the test point is a test point with the distance from the power transmission line within a preset range;
the predicting device is further configured to determine, before determining the acoustic power of the corona photonic group in the power transmission line, the acoustic power of the corona photonic group with the number of unit photons in the power transmission line, where determining the acoustic power of the corona photonic group with the number of unit photons in the power transmission line includes: respectively determining the space coordinates of a first corona photon group and a second corona photon group in the power transmission line; determining a first distance between the first corona photon group and the test point according to the space coordinates of the first corona photon group, and determining a second distance between the second corona photon group and the test point according to the space coordinates of the second corona photon group; determining the acoustic power of the corona photon group of the unit photon number in the power transmission line according to the first distance and the second distance;
the establishing module is further configured to determine at least one parameter of a scene where the power transmission line is located, where the parameter is as follows: the method comprises the steps of determining the size of a scene, the base point coordinates of the scene, the altitude of the scene, the temperature and humidity of the scene and the background noise of the scene;
the prediction module is further configured to predict a noise value of a test point according to acoustic power of the corona photon group, and includes: searching the frequency spectrum attenuation of the acoustic power of the corona photon group at the test point from a preset atmospheric absorption coefficient table according to at least one parameter of the scene where the power transmission line is located; determining the spectrum noise of the test point according to the acoustic power of the corona photon group and the spectrum attenuation; and determining the noise value of the continuous equivalent A sound level of the test point according to the spectrum noise of the test point.
7. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program, when run, controls a device in which the computer-readable storage medium is located to perform the method of predicting transmission line noise according to any one of claims 1 to 5.
8. A processor for executing a program stored in a memory, wherein the program is executed to perform the method of predicting transmission line noise according to any one of claims 1 to 5.
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