A method for correcting the protection range of passive plasma lightning arrester to cope with the influence of micro-meteorology in plateau mountains

Abstract

The present application relates to the field of power system protection technology, and in particular to a method for correcting the protection range of a passive plasma lightning arrester to cope with the influence of micro-meteorology in plateau mountains. Considering that wind speed fluctuations will blow away the high-concentration particle flow emitted upward by PLP, thereby changing the protection range of the PLP device, this embodiment uses the maximum likelihood estimation method and the Newton iteration method to determine the scale parameter iteration function and the shape parameter iteration function that conform to the wind speed sequence fluctuation law, and substitutes the initial scale parameter into the scale parameter iteration function to calculate the target scale parameter updated based on the current wind speed law, and the target shape parameter obtained in the same way, thereby calculating the average wind speed based on the updated target scale parameter and target shape parameter, and correcting the protection range of the PLP device according to the average wind speed. It aims to solve the problem of how to consider the impact of wind speed on the protection range of PLP.

Description

Technical Field

[0001] The present application relates to the technical field of power system protection, and in particular to a method for correcting the protection range of a passive plasma lightning arrester to cope with the influence of micro-meteorological conditions in plateaus and mountains. Background Art

[0002] At present, a new type of lightning protection device has been proposed - Plasma Lightning Protector (PLP), which has a good effect in lightning protection. It uses the "tip-like effect" to make its own electric field strength under the thundercloud two orders of magnitude higher than the protected object, and gathers the thundercloud charge, so that the protected target is in a safe position with a relatively low electric field. It uses an induction array anti-lightning rod and a dielectric barrier strong ionization composite discharger, and uses the thundercloud electric field to achieve passive strong ionization. The strong ionization discharger generates and radiates high-concentration plasma in both directions from cloud to ground, and efficiently neutralizes the thundercloud charge induced by the anti-lightning rod, solving the fatal problem that the electric field self-shielding effect of the traditional lightning arrester array needle suppresses the increase of divergent current and is easily struck by lightning.

[0003] However, the inventor discovered during the process of conceiving and implementing this application that the PLP will be affected by wind speed when emitting plasma airflow upward, resulting in the actual protection range being smaller than the theoretically calculated protection range - this situation is particularly evident in areas with complex wind conditions where the wind speed is random, intermittent and volatile, such as plateau mountainous areas. Therefore, a method is needed to correct the protection range of a passive plasma lightning arrester based on plateau mountain micrometeorology, taking into account the influence of wind speed on the calculated protection range of PLP, thereby improving the protection reliability of the PLP device.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a method for correcting the protection range of a passive plasma lightning arrester to cope with the influence of micro-meteorology in plateau mountains, aiming to solve the problem of how to consider the influence of wind speed on the protection range of PLP.

[0006] To achieve the above purpose, the present application provides a method for correcting the protection range of a passive plasma lightning arrester to cope with the influence of plateau mountain micro-meteorology, the method comprising:

[0007] Acquire a wind speed sequence in a wind farm within a period of time collected by an anemometer, and construct a Weibull distribution function according to the wind speed sequence, wherein the Weibull distribution function includes a preset initial scale parameter, an initial shape parameter, and wind speeds in the wind speed sequence;

[0008] Based on the Weibull distribution function, a scale parameter iteration function and a shape parameter iteration function are determined by using a maximum likelihood estimation method and a Newton iteration method;

[0009] Determining a target scale parameter corresponding to the initial scale parameter by means of the scale parameter iteration function, and determining a target shape parameter corresponding to the initial shape parameter by means of the shape parameter iteration function;

[0010] Calculating an average wind speed in the wind farm according to the target scale parameter and the target shape parameter;

[0011] A protection altitude correction value of the PLP is updated based on the average wind speed, so as to update a protection range of the PLP based on the protection altitude correction value.

[0012] Optionally, the step of determining the scale parameter iterative function and the shape parameter iterative function based on the Weibull distribution by using the maximum likelihood estimation method and the Newton iteration method comprises:

[0013] Based on the initial scale parameter, the initial shape parameter and the wind speed in the Weibull distribution, constructing a maximum likelihood function, wherein the maximum likelihood function includes a first maximum likelihood function and a second maximum likelihood function;

[0014] Constructing a Jacobian matrix according to the first maximum likelihood function and the second maximum likelihood function;

[0015] Based on the Jacobian matrix and the initial scale parameter, a Newton iterative function is substituted to determine the scale parameter iterative function; and based on the Jacobian matrix and the shape parameter, a Newton iterative function is substituted to determine the shape parameter iterative function.

[0016] Optionally, the expression of the first maximum likelihood function is:

[0017]

[0018] The second maximum likelihood function is:

[0019]

[0020] The expression of the Jacobian matrix is:

[0021]

[0022] in:

[0023]

[0024]

[0025]

[0026]

[0027] In the formula, is the initial scale parameter, is the initial shape parameter, is the wind speed in the wind speed sequence, n is the total number of wind speeds in the wind speed sequence, is the maximum likelihood function with shape parameter k, is the maximum likelihood function with scale parameter c, is the Jacobian matrix.

[0028] Optionally, the expression of the scale parameter iteration function is:

[0029]

[0030] The expression of the shape parameter iteration function is:

[0031]

[0032] Optionally, the calculation expression of the average wind speed is:

[0033]

[0034] in, ;

[0035] In the formula, is the updated target scale parameter, is the target shape parameter after updating, is a function defined to simplify the expression of average wind speed.

[0036] Optionally, the calculation expression of the protection altitude correction value is:

[0037]

[0038] In the formula, is the protection height correction value of PLP, h is the installation height of PLP device, is the average wind speed, and t is the sampling time, which corresponds to the time when the PLP device releases plasma.

[0039] Optionally, the step of determining a target scale parameter corresponding to the initial scale parameter by using the scale parameter iterative function, and determining a target shape parameter corresponding to the initial shape parameter by using the shape parameter iterative function comprises:

[0040] Substituting the initial scale parameter into the scale parameter iteration function for iteration in a loop, and substituting the initial shape parameter into the shape parameter iteration function for iteration in a loop;

[0041] Determine a first difference between a value of a current scale parameter obtained in each iteration and a value of the scale parameter obtained in a previous iteration, and determine a second difference between a value of a current shape parameter obtained in each iteration and a value of the shape parameter obtained in a previous iteration;

[0042] When the first difference is less than or equal to a preset difference threshold, the iteration is stopped and the current scale parameter is used as the target scale parameter; and when the second difference is less than or equal to the preset difference threshold, the iteration is stopped and the current shape parameter is used as the target shape parameter.

[0043] In addition, to achieve the above-mentioned purpose, the present application also provides a plasma lightning arrester protection range correction system, which includes: a memory, a processor, and a passive plasma lightning arrester protection range correction program for responding to the influence of plateau and mountainous micrometeorology, which is stored in the memory and can be run on the processor. When the passive plasma lightning arrester protection range correction program for responding to the influence of plateau and mountainous micrometeorology is executed by the processor, the steps of correcting the protection range of the passive plasma lightning arrester for responding to the influence of plateau and mountainous micrometeorology as described in any of the above items are implemented.

[0044] This application has at least the following beneficial effects:

[0045] 1. Considering that wind speed fluctuations will disperse the high-concentration particle flow emitted upward by PLP, thereby changing the protection range of the PLP device, the Weibull distribution is introduced to explore the distribution law of wind speed;

[0046] 2. Use the maximum likelihood estimation method and Newton iteration method to determine the scale parameter iteration function and shape parameter iteration function that conform to the fluctuation law of the wind speed sequence, so as to achieve real-time update of the scale parameter and shape parameter;

[0047] 3. The average wind speed is calculated based on the updated target scale parameters and target shape parameters, and the protection range of the PLP device is corrected according to the average wind speed. The effect of wind speed on the PLP plasma concentration is qualitatively explained, thereby guiding the selection and installation of the PLP device. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A schematic diagram of the architecture of the hardware operating environment of the plasma lightning arrester protection range correction system involved in the embodiment of the present application;

[0049] Figure 2This is a flow chart of the first embodiment of the method for correcting the protection range of a passive plasma lightning arrester to cope with the influence of micro-meteorology in plateau mountains in this application;

[0050] Figure 3 Schematic diagram of the protection scope before and after modification of the second embodiment of the present application.

[0051] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] In order to better understand the above technical solution, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0053] As an implementation plan, Figure 1 This is a schematic diagram of the architecture of the hardware operating environment of the plasma lightning arrester protection range correction system involved in the embodiment of the present application.

[0054] like Figure 1 As shown, the plasma lightning arrester protection range correction system may include: a processor 1001, such as a CPU, a memory 1005, a user interface 1003, a network interface 1004, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0055] Those skilled in the art will understand that Figure 1 The plasma lightning arrester protection range correction system architecture shown in the figure does not constitute a limitation on the plasma lightning arrester protection range correction system, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0056] like Figure 1As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a passive plasma lightning arrester protection range correction program for responding to the influence of plateau mountain micro-meteorology. Among them, the operating system is a program for managing and controlling the hardware and software resources of the plasma lightning arrester protection range correction system, the passive plasma lightning arrester protection range correction program for responding to the influence of plateau mountain micro-meteorology, and the operation of other software or programs.

[0057] exist Figure 1 In the plasma lightning arrester protection range correction system shown, the user interface 1003 is mainly used to connect to the terminal and communicate data with the terminal; the network interface 1004 is mainly used for the background server and communicates data with the background server; the processor 1001 can be used to call the passive plasma lightning arrester protection range correction program stored in the memory 1005 to cope with the influence of plateau mountain micrometeorology.

[0058] In this embodiment, the plasma lightning arrester protection range correction system includes: a memory 1005, a processor 1001, and a passive plasma lightning arrester protection range correction program for responding to the influence of plateau mountain micrometeorology stored in the memory and running on the processor, wherein:

[0059] When the processor 1001 calls the passive plasma lightning arrester protection range correction program for responding to the influence of plateau mountain micro-meteorology stored in the memory 1005, the following operations are performed:

[0060] Acquire a wind speed sequence in a wind farm within a period of time collected by an anemometer, and construct a Weibull distribution function according to the wind speed sequence, wherein the Weibull distribution function includes a preset initial scale parameter, an initial shape parameter, and wind speeds in the wind speed sequence;

[0061] Based on the Weibull distribution function, a scale parameter iteration function and a shape parameter iteration function are determined by using a maximum likelihood estimation method and a Newton iteration method;

[0062] Determining a target scale parameter corresponding to the initial scale parameter by means of the scale parameter iteration function, and determining a target shape parameter corresponding to the initial shape parameter by means of the shape parameter iteration function;

[0063] Calculating an average wind speed in the wind farm according to the target scale parameter and the target shape parameter;

[0064] A protection altitude correction value of the PLP is updated based on the average wind speed, so as to update a protection range of the PLP based on the protection altitude correction value.

[0065] When the processor 1001 calls the passive plasma lightning arrester protection range correction program for responding to the influence of plateau mountain micro-meteorology stored in the memory 1005, the following operations are performed:

[0066] Based on the initial scale parameter, the initial shape parameter and the wind speed in the Weibull distribution, constructing a maximum likelihood function, wherein the maximum likelihood function includes a first maximum likelihood function and a second maximum likelihood function;

[0067] Constructing a Jacobian matrix according to the first maximum likelihood function and the second maximum likelihood function;

[0068] Based on the Jacobian matrix and the initial scale parameter, a Newton iterative function is substituted to determine the scale parameter iterative function; and based on the Jacobian matrix and the shape parameter, a Newton iterative function is substituted to determine the shape parameter iterative function.

[0069] When the processor 1001 calls the passive plasma lightning arrester protection range correction program for responding to the influence of plateau mountain micro-meteorology stored in the memory 1005, the following operations are performed:

[0070] Substituting the initial scale parameter into the scale parameter iteration function for iteration in a loop, and substituting the initial shape parameter into the shape parameter iteration function for iteration in a loop;

[0071] Determine a first difference between a value of a current scale parameter obtained in each iteration and a value of the scale parameter obtained in a previous iteration, and determine a second difference between a value of a current shape parameter obtained in each iteration and a value of the shape parameter obtained in a previous iteration;

[0072] When the first difference is less than or equal to a preset difference threshold, the iteration is stopped and the current scale parameter is used as the target scale parameter; and when the second difference is less than or equal to the preset difference threshold, the iteration is stopped and the current shape parameter is used as the target shape parameter.

[0073] Based on the hardware architecture of the plasma lightning arrester protection range correction system of the above-mentioned power system protection technology, an embodiment of the passive plasma lightning arrester protection range correction method for coping with the influence of micro-meteorology in plateau mountains is proposed in this application.

[0074] Reference Figure 2 In the first embodiment, the method for correcting the protection range of the passive plasma lightning arrester to cope with the influence of plateau mountain micro-meteorology includes the following steps:

[0075] Step S10, obtaining a wind speed sequence in the wind farm within a period of time collected by an anemometer, and constructing a Weibull distribution function according to the wind speed sequence, wherein the Weibull distribution function includes a preset initial scale parameter, an initial shape parameter, and wind speeds in the wind speed sequence;

[0076] In this embodiment, a two-parameter Weibull distribution function is used to fit the wind speed, and the two parameters include a scale parameter and a shape parameter.

[0077] The initial scale parameter and the initial shape parameter are preset values. The wind speed in the wind speed sequence is a collection value obtained by an anemometer. The wind speed sequence is a sequence consisting of multiple wind speed values ​​collected at a time interval.

[0078] Scale parameters in wind speed distribution and shape parameters The values ​​of are closely related to the statistical characteristics of wind speed. Their values ​​reflect the distribution characteristics of wind speed:

[0079] Scale parameter It is related to the typical value of wind speed and can be understood as the characteristic scale of wind speed. Determines the width or concentration of wind speed distribution. The larger the value of indicates, the higher the typical wind speed value is. In wind energy assessment, Usually proportional to the average wind speed.

[0080] Shape parameters It determines the shape of wind speed distribution and reflects the volatility of wind speed and the degree of skewness of distribution.

[0081] when When <1, the wind speed distribution decays exponentially, indicating that the wind speed is low and fluctuates greatly.

[0082] when =1, the Weibull distribution degenerates into an exponential distribution, indicating that the wind speed is more dispersed.

[0083] when =2, the Weibull distribution is called the Rayleigh distribution, which is suitable for situations where the wind speed distribution is relatively symmetrical.

[0084] when When >3, the wind speed distribution is close to the normal distribution, indicating that the wind speed is more concentrated and the fluctuation is smaller.

[0085] Optionally, in some specific implementations, the initial scale parameter may be preset to 2, and the initial shape parameter may be preset to 6.

[0086] Optionally, a Weibull distribution function is constructed based on the wind speed sequence. The Weibull distribution function The expression is as follows:

[0087] (1)

[0088] in, Refers to the actual wind speed in a certain area Less than or equal to the assumed wind speed The probability of is the scale parameter, is the shape parameter, is the assumed wind speed in m / s.

[0089] Step S20, based on the Weibull distribution function, using maximum likelihood estimation method and Newton iteration method to determine the scale parameter iteration function and the shape parameter iteration function;

[0090] Step S30, determining a target scale parameter corresponding to the initial scale parameter by using the scale parameter iteration function, and determining a target shape parameter corresponding to the initial shape parameter by using the shape parameter iteration function;

[0091] In this embodiment, since wind speed fluctuations will blow away the high-concentration particle flow emitted upward by PLP and thus change the protection range of the PLP device, in order to fully explore the wind speed time series fluctuation law and thereby correct the protection range of PLP, the maximum likelihood estimation method and Newton iteration method are used to determine the scale parameter iteration function and shape parameter iteration function that conform to the wind speed sequence fluctuation law, and then the initial scale parameters are substituted into the scale parameter iteration function to calculate the target scale parameters updated based on the current wind speed law, as well as the target shape parameters obtained in the same way.

[0092] Therefore, based on the Weibull distribution function, the maximum likelihood estimation method and Newton iteration method are used to determine the scale parameter iteration function and shape parameter iteration function.

[0093] Specifically and optionally, a maximum likelihood function is first constructed based on an initial scale parameter, an initial shape parameter and a wind speed, wherein the maximum likelihood function includes a first maximum likelihood function and a second maximum likelihood function.

[0094] Among them, the first maximum likelihood function The expression is:

[0095]

[0096] The second maximum likelihood function for:

[0097]

[0098] In the formula, is the initial scale parameter, is the initial shape parameter, is the wind speed in the wind speed sequence, and n is the total number of wind speeds in the wind speed sequence

[0099] Further, a Jacobian matrix is ​​constructed according to the first maximum likelihood function and the second maximum likelihood function, wherein the Jacobian matrix The expression is:

[0100]

[0101] In the formula, the expressions of each element in the Jacobian matrix are as follows:

[0102]

[0103]

[0104]

[0105]

[0106] After obtaining the Jacobian matrix, the Newton iteration method is used to obtain the iterative functions of the respective parameters:

[0107] First, let the Newton iteration method function be:

[0108]

[0109] in, is the approximate value of the t-th iteration, is the value of the t+1th iteration, is the function F(x) in The function value at is expressed as:

[0110]

[0111] in, is the Jacobian matrix The inverse matrix of is expressed as follows:

[0112]

[0113] Substituting the scale parameter c into the Newton iteration function, the expression of the scale parameter iteration function is obtained as follows:

[0114]

[0115] Similarly, substituting the shape parameter l into the Newton iteration function, the expression of the shape parameter iteration function is obtained as follows:

[0116]

[0117] Further, after obtaining the iterative functions of each parameter, the initial scale parameter is substituted into the scale parameter iterative function to calculate the target scale parameter updated based on the current wind speed law, and the target shape parameter is obtained in the same way. Specifically and optionally, for how to determine the target scale parameter and / or target shape parameter, the following rules may be referred to:

[0118] Step 1, cyclically substituting the initial scale parameter into the scale parameter iterative function for iteration, and cyclically substituting the initial shape parameter into the shape parameter iterative function for iteration;

[0119] Step 2, determining a first difference between a value of a current scale parameter obtained in each iteration and a value of a scale parameter obtained in a previous iteration, and determining a second difference between a value of a current shape parameter obtained in each iteration and a value of a shape parameter obtained in a previous iteration;

[0120] Step 3: when the first difference is less than or equal to a preset difference threshold, stop iteration and use the current scale parameter as the target scale parameter; and when the second difference is less than or equal to the preset difference threshold, stop iteration and use the current shape parameter as the target shape parameter.

[0121] That is, when the difference between the value of the n+1th iteration and the previous value is less than or equal to the preset difference threshold, it is considered to be converged and the iteration is stopped.

[0122] Optionally, the preset difference threshold may be 0.05.

[0123] Step S40, calculating the average wind speed in the wind farm according to the target scale parameter and the target shape parameter;

[0124] In this embodiment, after the target scale parameter and the target shape parameter are calculated, the average wind speed in the wind farm is calculated based on the target scale parameter and the target shape parameter. The expression of the average wind speed is as follows:

[0125]

[0126] After finishing, we get:

[0127]

[0128] in, .

[0129] In the formula, is the updated target scale parameter, is the target shape parameter after updating, is a function defined to simplify the expression of average wind speed.

[0130] Step S50: updating the protection height correction value of the PLP based on the average wind speed, so as to update the protection range of the PLP based on the protection height correction value.

[0131] In this embodiment, after calculating the average wind speed obtained based on the updated target scale parameter and target shape parameter, the protection height correction value of the PLP is updated based on the average wind speed. The calculation expression of the protection height correction value is: for:

[0132]

[0133] In the formula, is the protection height correction value of PLP, h is the installation height of PLP device, is the average wind speed, and t is the sampling time, which corresponds to the time when the PLP device releases plasma.

[0134] Finally, based on the protection altitude correction value Update the protection scope of the PLP.

[0135] Optionally, correct the protection radius of the PLP device on the ground for:

[0136]

[0137] The updated protection radius Substituting the protection range calculation formula of the PLP device, the protection range after the PLP update can be obtained.

[0138] It should be noted that the calculation formula of the protection range of the PLP is not the focus of disclosure in this embodiment. Those skilled in the art can obtain it by using the protection range calculation formula of the traditional lightning protection device, which will not be repeated here.

[0139] In the technical solution provided in this embodiment, it is considered that wind speed fluctuations will blow away the high-concentration particle flow emitted upward by PLP, thereby changing the protection range of the PLP device. Therefore, this embodiment uses the maximum likelihood estimation method and the Newton iteration method to determine the scale parameter iteration function and the shape parameter iteration function that conform to the wind speed sequence fluctuation law, and substitutes the initial scale parameters into the scale parameter iteration function to calculate the target scale parameters updated based on the current wind speed law, as well as the target shape parameters obtained in the same way, so as to calculate the average wind speed based on the updated target scale parameters and target shape parameters, and correct the protection range of the PLP device according to the average wind speed.

[0140] Second embodiment

[0141] Based on the first embodiment, this embodiment provides a method including specific values, referring to Figure 3The schematic diagram of the protection range before and after correction is shown. Assume that the value of the collected wind speed sequence is:

[0142]

[0143] The initial scale parameter c is preset to 2, and the initial shape parameter k is preset to 6, assuming that the original installation height of the PLP device is 10 m.

[0144] First, substitute the initial scale parameter c into the scale parameter iteration function:

[0145]

[0146] And substitute the initial shape parameter k into the shape parameter iteration function:

[0147]

[0148] Iterate successively and get:

[0149] ;

[0150] ;

[0151] ;

[0152] tends to converge, so the target scale parameter is obtained With shape parameters .

[0153] Calculate the average wind speed :

[0154]

[0155] Press

[0156]

[0157] The actual protection height of the PLP device under the influence of wind speed is obtained. After correction, the protection radius of the PLP device on the ground is:

[0158] That is, the protection radius of the modified PLP device on the ground is .

[0159] In addition, it can be understood by a person skilled in the art that all or part of the processes in the method for implementing the above embodiment can be completed by instructing the relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the plasma lightning arrester protection range correction system to implement the process steps of the embodiment of the above method.

[0160] Therefore, the present application also provides a computer-readable storage medium, which stores a passive plasma lightning arrester protection range correction program for responding to the influence of plateau and mountainous micrometeorology. When the passive plasma lightning arrester protection range correction program for responding to the influence of plateau and mountainous micrometeorology is executed by a processor, it implements the various steps of the passive plasma lightning arrester protection range correction method for responding to the influence of plateau and mountainous micrometeorology as described in the above embodiment.

[0161] The computer-readable storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk, etc., which are computer-readable storage media that can store program codes.

[0162] It should be noted that since the storage medium provided in the embodiment of the present application is the storage medium used to implement the method of the embodiment of the present application, based on the method introduced in the embodiment of the present application, the person skilled in the art can understand the specific structure and deformation of the storage medium, so it is not repeated here. All storage media used in the method of the embodiment of the present application belong to the scope of protection of this application.

[0163] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0164] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0165] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0166] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0167] It should be noted that in the claims, any reference signs placed between brackets shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claim. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The present application may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.

[0168] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0169] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for correcting the protection range of a passive plasma lightning arrester to cope with the influence of micro-meteorology in plateau mountains, characterized in that: The method comprises the following steps: Acquire a wind speed sequence in a wind farm within a period of time collected by an anemometer, and construct a Weibull distribution function according to the wind speed sequence, wherein the Weibull distribution function includes a preset initial scale parameter, an initial shape parameter, and wind speeds in the wind speed sequence; Based on the Weibull distribution function, a scale parameter iteration function and a shape parameter iteration function are determined by using a maximum likelihood estimation method and a Newton iteration method; Determining a target scale parameter corresponding to the initial scale parameter by means of the scale parameter iteration function, and determining a target shape parameter corresponding to the initial shape parameter by means of the shape parameter iteration function; Calculating an average wind speed in the wind farm according to the target scale parameter and the target shape parameter; updating a protection height correction value of the PLP based on the average wind speed, so as to update a protection range of the PLP based on the protection height correction value; The calculation expression of the average wind speed is: ； in, ; In the formula, is the updated target scale parameter, is the target shape parameter after updating, is a function defined to simplify the expression of average wind speed; The calculation expression of the protection altitude correction value is: ； In the formula, is the protection height correction value of PLP, h is the installation height of PLP device, is the average wind speed, and t is the sampling time, which corresponds to the time when the PLP device releases plasma.

2. The method according to claim 1, characterized in that The step of determining the scale parameter iterative function and the shape parameter iterative function based on the Weibull distribution by using the maximum likelihood estimation method and the Newton iteration method comprises: Based on the initial scale parameter, the initial shape parameter and the wind speed in the Weibull distribution, constructing a maximum likelihood function, wherein the maximum likelihood function includes a first maximum likelihood function and a second maximum likelihood function; Constructing a Jacobian matrix according to the first maximum likelihood function and the second maximum likelihood function; Based on the Jacobian matrix and the initial scale parameter, a Newton iterative function is substituted to determine the scale parameter iterative function; and based on the Jacobian matrix and the shape parameter, a Newton iterative function is substituted to determine the shape parameter iterative function.

3. The method according to claim 2, characterized in that The expression of the first maximum likelihood function is: ； The second maximum likelihood function is: ； The expression of the Jacobian matrix is: ； in: ； ； ； ； In the formula, is the initial scale parameter, is the initial shape parameter, is the wind speed in the wind speed sequence, n is the total number of wind speeds in the wind speed sequence, is the maximum likelihood function with shape parameter k, is the maximum likelihood function with scale parameter c, is the Jacobian matrix.

4. The method according to claim 3, characterized in that The expression of the scale parameter iteration function is: ； The expression of the shape parameter iteration function is: 。 5. The method according to claim 1, characterized in that The step of determining the target scale parameter corresponding to the initial scale parameter by the scale parameter iteration function, and determining the target shape parameter corresponding to the initial shape parameter by the shape parameter iteration function comprises: Substituting the initial scale parameter into the scale parameter iteration function for iteration in a loop, and substituting the initial shape parameter into the shape parameter iteration function for iteration in a loop; Determine a first difference between a value of a current scale parameter obtained in each iteration and a value of the scale parameter obtained in a previous iteration, and determine a second difference between a value of a current shape parameter obtained in each iteration and a value of the shape parameter obtained in a previous iteration; When the first difference is less than or equal to a preset difference threshold, the iteration is stopped and the current scale parameter is used as the target scale parameter; and when the second difference is less than or equal to the preset difference threshold, the iteration is stopped and the current shape parameter is used as the target shape parameter.

6. A plasma lightning arrester protection range correction system, characterized in that: The plasma lightning arrester protection range correction system includes: a memory, a processor, and a passive plasma lightning arrester protection range correction program for responding to the influence of plateau and mountainous micrometeorology, which is stored in the memory and can be run on the processor. When the passive plasma lightning arrester protection range correction program for responding to the influence of plateau and mountainous micrometeorology is executed by the processor, the steps of correcting the passive plasma lightning arrester protection range for responding to the influence of plateau and mountainous micrometeorology as described in any one of claims 1 to 5 are implemented.

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