Power transmission line operation scenario generation method, system, device and storage medium

Abstract

The application belongs to the field of power system automation, and discloses a power transmission line operation scene generation method, system, device and storage medium, which comprises the following steps: acquiring power transmission line parameters, loads and various environmental data of a power transmission line; obtaining the correlation coefficient of the power transmission line parameters and the loads and the correlation coefficient of the power transmission line parameters and various environmental data under the same load condition according to the power transmission line parameters, the loads and various environmental data of the power transmission line; obtaining various key influencing factors of the power transmission line parameters according to the correlation coefficient of the power transmission line parameters and the loads and the correlation coefficient of the power transmission line parameters and various environmental data under the same load condition; and generating typical operation scenes of the power transmission line according to the key influencing factors of the power transmission line parameters. The number of the typical operation scenes is not particularly large, the computing power is effectively saved, the comprehensiveness and representativeness of the typical operation scenes are ensured, and the foundation for the construction of a typical parameter library of the power transmission line is laid.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of power system automation, and relates to a power transmission line operation scene generation method, system, device and storage medium. BACKGROUND

[0002] In each line of a power system, especially a high-voltage power transmission line, the power transmission line parameters will change with the operation environment, even the line length will change in different seasons, due to the influence of factors such as the geological, climate and uneven distribution of ground resistivity along the line during operation.

[0003] Therefore, in the actual operation of the power grid, the power transmission line parameters will be greatly affected by factors such as environment, operation mode and power grid power flow, and the power transmission line parameters are no longer fixed values without correction throughout the year. Therefore, the power grid dispatching automation system proposes a model business requirement of constructing a typical parameter library of the power grid, which is used for power transmission line parameter evaluation based on different power transmission line operation scenes.

[0004] At present, the power transmission line operation scene is mainly divided according to the size of the power grid load, such as valley load, peak load and waist load. However, this method considers simple factors and only meets the business requirements of the power grid operation mode. For the power transmission line parameters greatly affected by the operation environment and load rate, this power transmission line operation scene generation method considers single factors and cannot accurately reflect the change characteristics of the power transmission line operation parameters. SUMMARY

[0005] The present application aims to overcome the above-mentioned shortcomings of the prior art and provide a power transmission line operation scene generation method, system, device and storage medium.

[0006] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0007] In a first aspect of the present application, a power transmission line operation scene generation method comprises:

[0008] obtaining power transmission line parameters, loads and various environmental data of the power transmission line;

[0009] obtaining the correlation coefficient of the power transmission line parameters and the loads and the correlation coefficient of the power transmission line parameters and the various environmental data under the same load condition according to the power transmission line parameters, the loads and the various environmental data of the power transmission line;

[0010] According to the correlation coefficient of the power transmission line parameter and the load and the correlation coefficient of the power transmission line parameter and each environmental data under the same load condition, each key influencing factor of the power transmission line parameter is obtained.

[0011] According to the key influencing factor of the power transmission line parameter, a typical operation scenario of the power transmission line is generated.

[0012] Optionally, the specific method for obtaining the correlation coefficient of the power transmission line parameter and the load and the correlation coefficient of the power transmission line parameter and each environmental data under the same load condition comprises the following steps:

[0013] The power transmission line parameter and the load and the power transmission line parameter and each environmental data under the same load condition are fitted by using a data fitting method, so as to obtain a fitting curve of the power transmission line parameter and the load and a fitting curve of the power transmission line parameter and each environmental data under the same load condition.

[0014] According to the fitting curve of the power transmission line parameter and the load, the correlation coefficient of the power transmission line parameter and the load is determined.

[0015] According to the fitting curve of the power transmission line parameter and each environmental data under the same load condition, the correlation coefficient of the power transmission line parameter and each environmental data under the same load condition is determined.

[0016] Optionally, the specific method for obtaining the key influencing factor of the power transmission line parameter according to the correlation coefficient of the power transmission line parameter and the load and the correlation coefficient of the power transmission line parameter and each environmental data under the same load condition comprises the following steps:

[0017] When the correlation coefficient of the power transmission line parameter and the load is greater than a preset first correlation coefficient threshold, the environmental data whose correlation coefficient is greater than the preset first correlation coefficient threshold in the correlation coefficients of the power transmission line parameter and each environmental data under the same load condition is selected, and the load is used together as the key influencing factor of the power transmission line parameter.

[0018] When the correlation coefficient of the power transmission line parameter and the load is not greater than the preset first correlation coefficient threshold, the environmental data whose correlation coefficient is greater than the preset first correlation coefficient threshold in the correlation coefficients of the power transmission line parameter and each environmental data under the same load condition is selected as the key influencing factor of the power transmission line parameter.

[0019] Optionally, the specific method for generating the typical operation scenario of the power transmission line according to the key influencing factor of the power transmission line parameter comprises the following steps:

[0020] A preset intensity level of the key influencing factor of the power transmission line parameter is obtained, and according to the key influencing factor of the power transmission line parameter and the preset intensity level of the key influencing factor of the power transmission line parameter, a Taguchi orthogonal experiment method is used to generate the typical operation scenario of the power transmission line.

[0021] Optionally, further comprising:

[0022] According to the correlation coefficient of the transmission line parameter and each environmental data under the same load condition, the meteorological disaster factor of the transmission line parameter is obtained.

[0023] The boundary value of the meteorological disaster factor is obtained, and according to the boundary value of the meteorological disaster factor, the extreme operation scene of the transmission line is generated by using the enumeration method in combination with the load level of the transmission line.

[0024] Optionally, the specific method for obtaining the meteorological disaster factor of the transmission line parameter according to the correlation coefficient of the transmission line parameter and each environmental data under the same load condition is that:

[0025] The environmental data with a correlation coefficient greater than a preset second correlation coefficient threshold in the correlation coefficient of the transmission line parameter and each environmental data under the same load condition is selected as the meteorological disaster factor of the transmission line parameter.

[0026] In the second aspect of the present application, a transmission line operation scene generation system comprises:

[0027] The data acquisition module is configured to acquire the transmission line parameter, the load and each environmental data of the transmission line.

[0028] The data processing module is configured to acquire the correlation coefficient of the transmission line parameter and the load and the correlation coefficient of the transmission line parameter and each environmental data under the same load condition according to the transmission line parameter, the load and each environmental data of the transmission line.

[0029] The key influence factor determination module is configured to obtain each key influence factor of the transmission line parameter according to the correlation coefficient of the transmission line parameter and the load and the correlation coefficient of the transmission line parameter and each environmental data under the same load condition.

[0030] The typical scene generation module is configured to generate the typical operation scene of the transmission line according to the key influence factor of the transmission line parameter.

[0031] Optionally, the specific method for generating the typical operation scene of the transmission line according to the key influence factor of the transmission line parameter is that: the preset intensity level of the key influence factor of the transmission line parameter is acquired, and the typical operation scene of the transmission line is generated by using the Taguchi orthogonal experiment method according to the key influence factor of the transmission line parameter and the preset intensity level of the key influence factor of the transmission line parameter.

[0032] Optionally, further comprising:

[0033] The meteorological disaster factor determination module is configured to obtain the meteorological disaster factor of the transmission line parameter according to the correlation coefficient of the transmission line parameter and each environmental data under the same load condition.

[0034] An extreme scenario generation module is configured to acquire boundary values of meteorological disaster factors, and generate extreme operation scenarios of the power transmission line by using an enumeration method according to the boundary values of the meteorological disaster factors and in combination with a load level of the power transmission line.

[0035] In a third aspect, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the power transmission line operation scenario generation when executing the computer program.

[0036] In a fourth aspect, a computer readable storage medium stores a computer program, and the computer program implements the steps of the power transmission line operation scenario generation when executed by a processor.

[0037] Compared with the prior art, the present application has the following beneficial effects:

[0038] The power transmission line operation scenario generation method fully considers the influence of loads and various environmental data on power transmission line parameters, and calculates the correlation coefficients of the power transmission line parameters and the loads and the correlation coefficients of the power transmission line parameters and various environmental data under the same load condition, and then selects various key influencing factors of the power transmission line parameters from numerous influencing factors, and then generates typical operation scenarios of the power transmission line according to the various key influencing factors of the power transmission line parameters. Based on the selection of the key influencing factors, the number of typical operation scenarios is not particularly large, the computing power is effectively saved, the comprehensiveness and representativeness of the typical operation scenarios are guaranteed, and the change characteristics of the power transmission line parameters are fully reflected based on the analysis of the typical operation scenarios, thereby laying a foundation for the construction of a typical parameter library of the power transmission line. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 The power transmission line operation scenario generation method flowchart of the embodiment of the present application is shown in the figure;

[0040] Figure 2 The power transmission line operation scenario generation system structure block diagram of the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0041] In order to enable personnel in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor should be within the scope of protection of the present application.

[0042] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and in the above drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0043] First, the related terms involved in the embodiments of the present application are introduced:

[0044] Synchronized phasor measurement device (phasor measurement unit, PMU): a phasor measurement unit using global positioning system second pulse as a synchronous clock, which can be used in the fields of dynamic monitoring, system protection and system analysis and prediction of power system. It is an important equipment to ensure the safe operation of power grid. Hundreds of PMUs have been installed and used worldwide. The results of field test, operation and application research show that the synchronized phasor measurement technology has application or application prospect in power system state estimation and dynamic monitoring, stability prediction and control, model verification, relay protection, fault location, etc.

[0045] Wide area measurement system (Wide Area Measurement System, WAMS): a new generation of power grid dynamic monitoring and control system based on synchronized phasor technology, with the technical characteristics of high-precision synchronized phasor measurement, high-speed communication and rapid reaction, which is very suitable for real-time monitoring of dynamic process of large-span power grid.

[0046] The present application will be described in further detail below in conjunction with the drawings:

[0047] Referring to Figure 1 In an embodiment of the present application, a power transmission line operation scenario generation method is provided, which fully considers the influence of load and various environmental data on power transmission line parameters, constructs a full permutation power transmission line operation scenario set containing all influencing factors, thereby laying a foundation for the construction of a typical parameter library of power transmission line, and based on subsequent analysis of these operation scenarios, the change characteristics of power transmission line operation parameters can be better reflected.

[0048] Specifically, the power transmission line operation scenario generation method comprises the following steps:

[0049] S1: obtaining power transmission line parameters, load and various environmental data of the power transmission line.

[0050] Specifically, first, the measurement data of the PMU is acquired from the WAMS system, generally including the voltage phasor of the first end of the transmission line, the current phasor of the first end, the voltage phasor of the end, the current phasor of the end, and the load, etc., and then the transmission line resistance, reactance and ground admittance parameters of the transmission line are calculated according to the voltage phasor of the first end of the transmission line, the current phasor of the first end, the voltage phasor of the end and the current phasor of the end. Among them, the transmission line resistance, reactance and ground admittance parameters are the transmission line parameters of the transmission line. Generally, the environmental data of the transmission line is acquired from the on-line monitoring system of the power transmission and transformation, and the environmental data includes one or several of the air temperature, temperature, wind speed, relative humidity, wind direction and sunshine intensity.

[0051] S2: According to the transmission line parameters, the load and each environmental data of the transmission line, the correlation coefficient of the transmission line parameters and the load and the correlation coefficient of the transmission line parameters and each environmental data under the same load condition are obtained.

[0052] Specifically, the correlation coefficient of the transmission line parameters and the load is calculated by analyzing the correlation between the transmission line parameters and the load; the correlation coefficient of the transmission line parameters and each environmental data under the same load condition is calculated by analyzing the correlation between the transmission line parameters and the air temperature, temperature, wind speed, relative humidity, wind direction and sunshine intensity under the same load condition.

[0053] In this embodiment, the specific method for obtaining the correlation coefficient of the transmission line parameters and the load and the correlation coefficient of the transmission line parameters and each environmental data under the same load condition is: fitting the transmission line parameters and the load and the transmission line parameters and each environmental data under the same load condition by using a data fitting method to obtain the fitting curve of the transmission line parameters and the load and the fitting curve of the transmission line parameters and each environmental data under the same load condition; determining the correlation coefficient of the transmission line parameters and the load according to the fitting curve of the transmission line parameters and the load; determining the correlation coefficient of the transmission line parameters and each environmental data under the same load condition according to the fitting curve of the transmission line parameters and each environmental data under the same load condition. Among them, the data fitting method can be realized by using the existing data fitting function.

[0054] S3: According to the correlation coefficient of the transmission line parameters and the load and the correlation coefficient of the transmission line parameters and each environmental data under the same load condition, the key influencing factors of the transmission line parameters are obtained.

[0055] Specifically, according to the correlation coefficient of the power transmission line parameter and the load and the correlation coefficient of the power transmission line parameter and each environmental data under the same load condition, it can be considered that the greater the correlation coefficient, the greater the influence of the factor on the power transmission line parameter. Therefore, the correlation coefficients of the power transmission line parameter and the load, the air temperature, the temperature, the wind speed, the relative humidity, the wind direction and the sunshine intensity can be sorted, and the factor with a larger correlation coefficient can be selected as the key influencing factor.

[0056] In this embodiment, the specific method for obtaining the key influencing factor of the power transmission line parameter according to the correlation coefficient of the power transmission line parameter and the load and the correlation coefficient of the power transmission line parameter and each environmental data under the same load condition is as follows: when the correlation coefficient of the power transmission line parameter and the load is greater than a preset first correlation coefficient threshold, the environmental data with a correlation coefficient greater than the preset first correlation coefficient threshold among the correlation coefficients of the power transmission line parameter and each environmental data under the same load condition are selected as the key influencing factor of the power transmission line parameter together with the load; when the correlation coefficient of the power transmission line parameter and the load is not greater than the preset first correlation coefficient threshold, the environmental data with a correlation coefficient greater than the preset first correlation coefficient threshold among the correlation coefficients of the power transmission line parameter and each environmental data under the same load condition are selected as the key influencing factor of the power transmission line parameter.

[0057] The first correlation coefficient threshold can be set according to specific business requirements, based on historical experience or expert experience, or can be referenced to the size of the current correlation coefficient to some extent. For example, the first correlation coefficient threshold is set to 0.9, when the correlation coefficient of the power transmission line parameter and the load is greater than 0.9, the load is the key influencing factor of the power transmission line parameter, and it is also necessary to determine the correlation coefficient of the power transmission line parameter and each environmental data under the same load condition. The environmental data with a correlation coefficient greater than 0.9 among the correlation coefficients of the power transmission line parameter and each environmental data under the same load condition are selected as the key influencing factor of the power transmission line parameter together with the load.

[0058] S4: generating a typical operation scene of the power transmission line according to the key influencing factor of the power transmission line parameter.

[0059] Specifically, based on the key influencing factor of the power transmission line parameter, the typical operation scene of the power transmission line can be obtained by combining different forms of each key influencing factor.

[0060] In this embodiment, the specific method for generating the typical operation scene of the power transmission line according to the key influencing factor of the power transmission line parameter is as follows: obtaining a preset intensity level of the key influencing factor of the power transmission line parameter, and generating the typical operation scene of the power transmission line by using the Taguchi orthogonal experiment method according to the key influencing factor of the power transmission line parameter and the preset intensity level of the key influencing factor of the power transmission line parameter.

[0061] The preset intensity level of the key influencing factor of the power transmission line parameter can be determined according to the actual regulation and control business of the power grid, based on analysis of typical operation modes of the power grid from power grid operation information, and in combination with expert experience. When analyzing the typical operation modes of the power grid from power grid operation information, the typical operation modes of the power grid are generally analyzed according to a power grid system load curve, a subarea power grid load curve, a new energy power generation output curve, and a power transmission line load rate.

[0062] For example, referring to Table 1, when the key influencing factor of the power transmission line parameter is the four factors of air temperature, load, wind speed, and relative humidity, three intensity levels are preset for each factor.

[0063] Table 1: Preset intensity level of key influencing factor of power transmission line parameter

[0064]

[0065] When the Taguchi orthogonal experiment method is used, a Taguchi orthogonal table is established according to the principles of single-column appearance of each intensity level, equal number of intensity level appearances, and full permutation of different intensity levels between any two columns.

[0066] For example, referring to Table 2, a Taguchi orthogonal table is established based on the key influencing factors and intensity levels in Table 1, and then typical operation scenarios of the power transmission line are generated.

[0067] Table 2: Taguchi orthogonal table based on key influencing factors and intensity levels in Table 1

[0068]

[0069]

[0070] As can be seen, there are 9 different typical operation scenarios of the power transmission line in Table 2. If the traditional full-factor experiment method is used, 4 key influencing factors and 3 intensity levels for each key influencing factor will be combined into 81 typical operation scenarios. Therefore, by using the Taguchi orthogonal method to generate typical operation scenarios, the number of typical operation scenarios can be greatly reduced, the typical operation scenarios can be simplified, and computing power can be saved.

[0071] In summary, the power transmission line operation scene generation method fully considers the influence of loads and various environmental data on the power transmission line parameters, and calculates the correlation coefficients of the power transmission line parameters and the loads and the correlation coefficients of the power transmission line parameters and various environmental data under the same load condition, and then selects various key influencing factors of the power transmission line parameters from numerous influencing factors, and then generates typical operation scenes of the power transmission line according to the various key influencing factors of the power transmission line parameters. Based on the selection of the key influencing factors, the number of the typical operation scenes is not particularly large, the computing power is effectively saved, and the comprehensiveness and representativeness of the typical operation scenes are guaranteed, and then based on the analysis of the typical operation scenes, the change characteristics of the power transmission line parameters can be fully reflected, thereby laying a foundation for the construction of the typical parameter library of the power transmission line.

[0072] Meanwhile, referring to Chinese patent application CN113283043A, a scene reduction solving method suitable for high-dimensional large-scale scenes is disclosed, which includes defining a scene reduction model; initializing a typical scene set; solving a transmission matrix and obtaining a discrete probability distribution; iteratively solving the typical scene set until the Wasserstein distance changes less than a certain threshold or the number of iterations reaches a set number; selecting the nearest scene to the typical scene from the initial scene to reconstruct the typical scene set, and using the typical scene set and its discrete probability distribution in the random optimization problem of the power system. Compared with the present application, this method is mainly used to solve the random optimization problem of the power system, and uses an uncertain scene reduction method. However, on the one hand, the typical scene probability distribution function of the actual system is difficult to obtain; on the other hand, the calculation efficiency of selecting the typical scene from the initial scene is limited, and the practicability is not good.

[0073] In a possible implementation, the power transmission line operation scene generation method further includes: obtaining meteorological disaster factors of the power transmission line parameters according to the correlation coefficients of the power transmission line parameters and various environmental data under the same load condition; obtaining boundary values of the meteorological disaster factors, and generating extreme operation scenes of the power transmission line by using an enumeration method according to the boundary values of the meteorological disaster factors and the load level of the power transmission line.

[0074] The specific method of obtaining the meteorological disaster factors of the power transmission line parameters according to the correlation coefficients of the power transmission line parameters and various environmental data under the same load condition is: selecting environmental data with a correlation coefficient greater than a preset second correlation coefficient threshold from the correlation coefficients of the power transmission line parameters and various environmental data under the same load condition as the meteorological disaster factors of the power transmission line parameters. The second correlation coefficient threshold is similar to the first correlation coefficient threshold, and can be set based on historical experience or expert experience according to specific business requirements.

[0075] After the meteorological disaster factors of the transmission line parameters are determined, the boundary values of the meteorological disaster factors of the transmission line parameters are determined according to specific meteorological disaster factors. For example, after the above steps, it is determined that the meteorological disaster factors of the transmission line parameters include temperature, wind speed, relative humidity and load, which correspond to actual high temperature, low temperature, gale, rainstorm and lightning and other meteorological disasters respectively. When the boundary values of the meteorological disaster factors are obtained, they are generally obtained based on statistical methods, such as the maximum value of air temperature and the minimum value of air temperature corresponding to the boundary value of temperature, and corresponding to high temperature and low temperature meteorological disasters respectively; the maximum value of wind speed corresponds to the boundary value of wind speed, and corresponds to gale meteorological disaster; the maximum value of humidity corresponds to the boundary value of relative humidity, and corresponds to rainstorm meteorological disaster; the maximum value and the minimum value of load correspond to the boundary value of load, because lightning line will cause line trip, affect the overall power flow distribution of the system, make part of the transmission line overload, and the corresponding cut-off interruptible load will also cause part of the transmission line to be unloaded, so it corresponds to lightning meteorological disaster.

[0076] Further, according to the boundary values of the meteorological disaster factors, combined with the load level of the transmission line, the enumeration method is used to generate the extreme operating scenarios of the transmission line. For example, referring to Table 3, based on the massive historical data stored by the power grid, the maximum and minimum values of the meteorological disaster factors of the transmission line are combined, and the transmission line has a total of 4 extreme scenarios.

[0077] Table 3: Extreme operating scenarios of transmission line

[0078] Extreme operating scenario number Weather disaster boundary value combination 1 High temperature + heavy load 2 Low temperature + high wind + heavy load 3 High wind + high relative humidity + heavy load 4 High wind + high relative humidity + light load

[0079] By fully considering the extreme cases of the external environment and using the enumeration method to generate the extreme operating scenarios of the transmission line, by combining the typical operating scenarios with the extreme operating scenarios, the number of transmission line operating scenarios is reduced, and the transmission line operating scenario differentiation degree can be effectively improved, so that the transmission line operating scenario is fully covered with the least transmission line operating scenario, and the foundation is laid for the construction of the typical parameter library of the transmission line.

[0080] The following is an apparatus embodiment of the present application, which can be used to execute the method embodiments of the present application. For details not disclosed in the apparatus embodiment, please refer to the method embodiments of the present application.

[0081] Referring to Figure 2In another embodiment of the present invention, a transmission line operation scenario generation system is provided, which can be used to implement the above-mentioned transmission line operation scenario generation method. Specifically, the transmission line operation scenario generation system includes a data acquisition module, a data processing module, a key influencing factor determination module, and a typical scenario generation module. The data acquisition module is used to acquire transmission line parameters, load, and various environmental data of the transmission line; the data processing module is used to acquire the correlation coefficient between the transmission line parameters and load, and the correlation coefficient between the transmission line parameters and various environmental data under the same load condition, based on the transmission line parameters, load, and various environmental data; the key influencing factor determination module is used to obtain the key influencing factors of the transmission line parameters based on the correlation coefficient between the transmission line parameters and load, and the correlation coefficient between the transmission line parameters and various environmental data under the same load condition; the typical scenario generation module is used to generate typical operation scenarios of the transmission line based on the key influencing factors of the transmission line parameters.

[0082] In one possible implementation, the specific method for obtaining the correlation coefficient between transmission line parameters and load, and the correlation coefficient between transmission line parameters and various environmental data under the same load conditions, is as follows: The transmission line parameters and load, and the transmission line parameters and various environmental data under the same load conditions are fitted using a data fitting method to obtain the fitting curves of the transmission line parameters and load, and the fitting curves of the transmission line parameters and various environmental data under the same load conditions; the correlation coefficient between the transmission line parameters and load is determined based on the fitting curves of the transmission line parameters and load; and the correlation coefficient between the transmission line parameters and various environmental data under the same load conditions is determined based on the fitting curves of the transmission line parameters and various environmental data under the same load conditions.

[0083] In one possible implementation, the specific method for obtaining the key influencing factors of transmission line parameters based on the correlation coefficient between transmission line parameters and load, and the correlation coefficient between transmission line parameters and various environmental data under the same load conditions, is as follows: when the correlation coefficient between transmission line parameters and load is greater than a preset first correlation coefficient threshold, environmental data whose correlation coefficient between transmission line parameters and various environmental data under the same load conditions is greater than the preset first correlation coefficient threshold is selected, and these environmental data, along with the load, are used as key influencing factors of transmission line parameters; when the correlation coefficient between transmission line parameters and load is not greater than the preset first correlation coefficient threshold, environmental data whose correlation coefficient between transmission line parameters and various environmental data under the same load conditions is greater than the preset first correlation coefficient threshold is selected as key influencing factors of transmission line parameters.

[0084] In a possible implementation, the specific method for generating the typical operation scenario of the power transmission line according to the key influencing factors of the power transmission line parameters comprises the following steps: obtaining preset intensity levels of the key influencing factors of the power transmission line parameters; and generating the typical operation scenario of the power transmission line by using the Taguchi orthogonal experiment method according to the key influencing factors of the power transmission line parameters and the preset intensity levels of the key influencing factors of the power transmission line parameters.

[0085] In a possible implementation, the power transmission line operation scenario generation system further comprises a meteorological disaster factor determination module and an extreme scenario generation module. The meteorological disaster factor determination module is configured to obtain meteorological disaster factors of the power transmission line parameters according to correlation coefficients of the power transmission line parameters and the environment data under the same load condition. The extreme scenario generation module is configured to obtain boundary values of the meteorological disaster factors, and generate an extreme operation scenario of the power transmission line by using an enumeration method according to the boundary values of the meteorological disaster factors and the load level of the power transmission line.

[0086] In a possible implementation, the specific method for obtaining the meteorological disaster factors of the power transmission line parameters according to the correlation coefficients of the power transmission line parameters and the environment data under the same load condition comprises the following steps: selecting, from the correlation coefficients of the power transmission line parameters and the environment data under the same load condition, environment data with a correlation coefficient greater than a preset second correlation coefficient threshold value as the meteorological disaster factors of the power transmission line parameters.

[0087] The foregoing embodiments of the power transmission line operation scenario generation method involve all related contents of the steps, which can be cited as the function description of the function modules of the power transmission line operation scenario generation device in the embodiments of the present application, and will not be repeated here.

[0088] The division of the modules in the embodiments of the present application is illustrative, and is only a logical function division. In actual implementation, another division mode can be used. In addition, the function modules in each embodiment of the present application can be integrated in one processor, or can be physically separated, or two or more modules can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software function module.

[0089] In another embodiment of the present application, a computer device is provided, which comprises a processor and a memory, the memory is configured to store a computer program, the computer program comprises program instructions, and the processor is configured to execute the program instructions stored in the computer storage medium. The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, and are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions in the computer storage medium to implement a corresponding method process or a corresponding function; the processor in the embodiments of the present application can be used for the operation of the power line operation scene generation method.

[0090] In another embodiment of the present application, the present application further provides a storage medium, specifically a computer readable storage medium (Memory), which is a memory device in a computer device, and is configured to store programs and data. It can be understood that the computer readable storage medium herein can include an internal storage medium in the computer device, and of course can also include an expansion storage medium supported by the computer device. The computer readable storage medium provides a storage space, and the storage space stores an operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and the instructions can be one or more computer programs (including program codes). It should be noted that the computer readable storage medium herein can be a high-speed RAM memory, or a non-volatile memory such as at least one disk memory. One or more instructions stored in the computer readable storage medium can be loaded and executed by the processor to implement the corresponding steps of the power line operation scene generation method in the above embodiments.

[0091] Those skilled in the art will appreciate that embodiments of the application can be devised for a method, a system, or a computer program product. Accordingly, the present application can be embodied in the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0092] The present application is described in reference to the flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0093] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0094] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. ​ one or more functions specified in the flowchart illustrations and / or block diagrams.

[0095] Finally, it should be noted that the above-mentioned embodiments are merely intended for describing and illustrating, not limiting the technical solutions of the present application. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific embodiments of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and any modifications or equivalent replacements without departing from the spirit and scope of the present application should be covered in the protection scope of the claims of the present application.

Claims

1. A method for generating operation scenarios of power transmission lines, characterized in that, include: Obtain transmission line parameters, load, and environmental data for the transmission lines; Based on the transmission line parameters, load, and various environmental data, the correlation coefficients between transmission line parameters and load, and the correlation coefficients between transmission line parameters and various environmental data under the same load conditions, are obtained. Based on the correlation coefficients between transmission line parameters and load, and the correlation coefficients between transmission line parameters and various environmental data under the same load conditions, the key influencing factors of transmission line parameters are obtained. Based on the key influencing factors of transmission line parameters, typical operating scenarios for transmission lines are generated. The specific method for obtaining the correlation coefficient between transmission line parameters and load, and the correlation coefficient between transmission line parameters and various environmental data under the same load conditions, is as follows: The data fitting method was used to fit the transmission line parameters with the load and the transmission line parameters with various environmental data under the same load conditions, so as to obtain the fitting curves of the transmission line parameters with the load and the fitting curves of the transmission line parameters with various environmental data under the same load conditions. Based on the fitting curve of transmission line parameters and load, determine the correlation coefficient between transmission line parameters and load; Based on the fitting curves of transmission line parameters and various environmental data under the same load conditions, the correlation coefficients between transmission line parameters and various environmental data under the same load conditions are determined. The specific method for obtaining the key influencing factors of transmission line parameters based on the correlation coefficient between transmission line parameters and load, and the correlation coefficient between transmission line parameters and various environmental data under the same load conditions, is as follows: When the correlation coefficient between transmission line parameters and load is greater than the preset first correlation coefficient threshold, environmental data with a correlation coefficient greater than the preset first correlation coefficient threshold among the correlation coefficients between transmission line parameters and various environmental data under the same load conditions are selected and used together with the load as key influencing factors of transmission line parameters. When the correlation coefficient between transmission line parameters and load is not greater than the preset first correlation coefficient threshold, environmental data with a correlation coefficient greater than the preset first correlation coefficient threshold among the correlation coefficients between transmission line parameters and various environmental data under the same load conditions are selected as the key influencing factors of transmission line parameters.

2. The method for generating transmission line operation scenarios according to claim 1, characterized in that, The specific method for generating typical operating scenarios for transmission lines based on key influencing factors of transmission line parameters is as follows: The preset intensity levels of key influencing factors of transmission line parameters are obtained. Based on the key influencing factors of transmission line parameters and their preset intensity levels, the Taguchi orthogonal experimental method is used to generate typical operating scenarios for transmission lines.

3. The method for generating transmission line operation scenarios according to claim 1, characterized in that, Also includes: Based on the correlation coefficients between transmission line parameters and various environmental data under the same load conditions, the meteorological disaster factors of transmission line parameters are obtained; Obtain the boundary values ​​of meteorological disaster factors, and based on the boundary values ​​of meteorological disaster factors and the load level of transmission lines, use an enumeration method to generate extreme operating scenarios for transmission lines.

4. The method for generating transmission line operation scenarios according to claim 3, characterized in that, The specific method for obtaining the meteorological disaster factors of transmission line parameters based on the correlation coefficients between transmission line parameters and various environmental data under the same load conditions is as follows: Environmental data with a correlation coefficient greater than a preset second correlation coefficient threshold among the correlation coefficients between transmission line parameters and various environmental data under the same load conditions are selected as meteorological disaster factors for transmission line parameters.

5. A system for generating operation scenarios of power transmission lines, characterized in that, include: The data acquisition module is used to acquire transmission line parameters, load, and various environmental data of the transmission line. The data processing module is used to obtain the correlation coefficient between the transmission line parameters and the load, and the correlation coefficient between the transmission line parameters and the environmental data under the same load conditions, based on the transmission line parameters, load, and various environmental data of the transmission line. The key influencing factor determination module is used to determine the key influencing factors of transmission line parameters based on the correlation coefficient between transmission line parameters and load, and the correlation coefficient between transmission line parameters and various environmental data under the same load conditions. The typical scenario generation module is used to generate typical operating scenarios for transmission lines based on the key influencing factors of transmission line parameters. The specific method for obtaining the correlation coefficient between transmission line parameters and load, and the correlation coefficient between transmission line parameters and various environmental data under the same load conditions, is as follows: The data fitting method was used to fit the transmission line parameters with the load and the transmission line parameters with various environmental data under the same load conditions, so as to obtain the fitting curves of the transmission line parameters with the load and the fitting curves of the transmission line parameters with various environmental data under the same load conditions. Based on the fitting curve of transmission line parameters and load, determine the correlation coefficient between transmission line parameters and load; Based on the fitting curves of transmission line parameters and various environmental data under the same load conditions, the correlation coefficients between transmission line parameters and various environmental data under the same load conditions are determined. The specific method for obtaining the key influencing factors of transmission line parameters based on the correlation coefficient between transmission line parameters and load, and the correlation coefficient between transmission line parameters and various environmental data under the same load conditions, is as follows: When the correlation coefficient between transmission line parameters and load is greater than the preset first correlation coefficient threshold, environmental data with a correlation coefficient greater than the preset first correlation coefficient threshold among the correlation coefficients between transmission line parameters and various environmental data under the same load conditions are selected and used together with the load as key influencing factors of transmission line parameters. When the correlation coefficient between transmission line parameters and load is not greater than the preset first correlation coefficient threshold, environmental data with a correlation coefficient greater than the preset first correlation coefficient threshold among the correlation coefficients between transmission line parameters and various environmental data under the same load conditions are selected as the key influencing factors of transmission line parameters.

6. The transmission line operation scenario generation system according to claim 5, characterized in that, The specific method for generating typical operating scenarios of transmission lines based on key influencing factors of transmission line parameters is as follows: obtain the preset intensity level of key influencing factors of transmission line parameters, and generate typical operating scenarios of transmission lines using the Taguchi orthogonal experimental method based on the key influencing factors of transmission line parameters and the preset intensity level of key influencing factors of transmission line parameters.

7. The transmission line operation scenario generation system according to claim 5, characterized in that, Also includes: The meteorological disaster factor determination module is used to obtain the meteorological disaster factors of transmission line parameters based on the correlation coefficient between transmission line parameters and various environmental data under the same load conditions. The extreme scenario generation module is used to obtain the boundary values ​​of meteorological disaster factors and, based on the boundary values ​​of meteorological disaster factors and the load level of the transmission line, generate extreme operating scenarios of the transmission line using an enumeration method.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the step of generating the transmission line operation scenario as described in any one of claims 1 to 4.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of generating the transmission line operation scenario as described in any one of claims 1 to 4.

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