Converter station valve side bushing resistance divider self-calibration method and system

Abstract

The application discloses a converter station valve side sleeve pipe resistance divider self-calibration method and system, relates to the technical field of resistance divider self-calibration, and comprises the following steps: configuring a sensor, and collecting resistance divider data; a model of the relationship between the resistance value of the valve side sleeve pipe resistance divider and measurement error is established; the output resistance data is input into an optimized IABC algorithm, and iterative search is performed according to the model and the input data to determine the optimal resistance value setting and realize the predetermined calibration target. The converter station valve side sleeve pipe resistance divider self-calibration method provided by the application considers the interactive effect of voltage and temperature, considers the influence of the actual working environment on the resistance, and selects the optimal resistance under the actual working state. The IABC algorithm improves the efficiency and precision of calibration by simulating the behavior of bees searching for food and the judgment of collective fitness, so that the resistance divider can be automatically adjusted to the optimal state under different conditions, and the stable operation of the converter station is ensured.

Description

Technical Field

[0001] This invention relates to the field of self-calibration technology for resistor voltage dividers, specifically to a self-calibration method and system for a valve-side bushing resistor voltage divider in a converter station. Background Technology

[0002] With the rapid development of power systems, converter stations, as key nodes connecting different power grids and achieving efficient energy conversion and transmission, play a crucial role in ensuring power quality and system stability. Against this backdrop, the accuracy of valve-side bushing resistive voltage dividers is critical to the normal operation of converter stations, as they directly affect the accuracy of voltage measurements and the reliability of the system. However, traditional resistive voltage divider calibration methods often rely on manual intervention, which is not only time-consuming and labor-intensive but also difficult to adapt to rapidly changing operating conditions and environmental factors, such as temperature and voltage fluctuations, all of which can lead to measurement errors and degraded system performance.

[0003] Existing technologies have several shortcomings in handling the self-calibration of resistive voltage dividers. First, most existing methods fail to effectively integrate the effects of environmental factors, such as temperature and voltage variations, on the resistive voltage divider values, thus limiting calibration accuracy. Second, there is a lack of an efficient algorithm to automatically optimize the calibration process to adapt to constantly changing operating conditions. Furthermore, existing calibration methods often rely on complex hardware configurations and manual operation, increasing calibration costs and time, and reducing the operating efficiency of converter stations.

[0004] To address the shortcomings of existing technologies, our invention proposes an innovative self-calibration method and system for the valve-side bushing resistance divider in converter stations. By introducing an advanced IABC algorithm and an interactive model that comprehensively considers environmental factors such as voltage and temperature, our method not only achieves higher-precision resistance measurement and calibration but also automatically adapts to different operating conditions, significantly improving the operating efficiency and stability of converter stations. In particular, by deploying an intelligent sensor network and constructing a precise resistance-error relationship model, our invention can effectively capture and analyze temperature distribution and its impact on measurement accuracy. Furthermore, by optimizing the algorithm, it automatically adjusts the resistance value to achieve the predetermined calibration target, thereby overcoming many limitations of traditional calibration methods. Summary of the Invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by this invention is that existing self-calibration methods for resistor voltage dividers have insufficient accuracy, are complex to operate and have low efficiency, and how to achieve automation without being limited by temperature and voltage.

[0007] To address the aforementioned technical problems, this invention provides the following technical solution: a self-calibration method for a converter station valve-side bushing resistance divider, comprising configuring a sensor to collect resistance divider data; establishing a model of the relationship between the resistance value of the valve-side bushing resistance divider and the measurement error; inputting the output resistance data and running an optimized IABC algorithm; performing iterative search based on the model and input data to determine the optimal resistance value setting and achieve the predetermined calibration target.

[0008] As a preferred embodiment of the self-calibration method for the resistor divider in the converter station valve side bushing of the present invention, the configuration of sensors for collecting resistor divider data includes configuring voltage sensors and current sensors, determining the resistance based on the built-in four-wire measurement, deploying temperature sensors in the resistor divider and converter station valve side bushing environment to capture temperature distribution and changes, and transmitting data based on a wireless sensor network.

[0009] As a preferred embodiment of the self-calibration method for the converter station valve-side bushing resistance divider described in this invention, the model for establishing the relationship between the resistance value of the valve-side bushing resistance divider and the measurement error includes constructing an objective function that minimizes the resistance error and maximizes the measurement accuracy, expressed as: in, Indicates the regulating factor. This represents the actual value of the i-th resistor. This represents the measured value of the i-th resistor. This indicates the maximum resistance error.

[0010] As a preferred embodiment of the self-calibration method for the converter station valve-side bushing resistance divider described in this invention, the model for establishing the relationship between the resistance value of the valve-side bushing resistance divider and the measurement error further includes incorporating the influence of operating voltage and ambient temperature during operation, constructing an interaction model of voltage and temperature, expressed as: in, and These represent the optimal operating points for voltage and temperature, respectively. and These are parameters that adjust the sensitivity to voltage and temperature. and It is an introduced parameter that adjusts the effect of the voltage and temperature interaction on sensitivity. It is a coefficient that adjusts the nonlinear interaction between voltage and temperature. It is a function of the interaction effect of voltage and temperature, expressed as: in, It is a coefficient that modulates the intensity of the interaction effect.

[0011] As a preferred embodiment of the self-calibration method for the converter station valve-side bushing resistor divider described in this invention, the step of inputting the output resistance data and running the optimized IABC algorithm includes setting each bee to represent a possible resistance. , It is a set of resistor configurations, determined based on the objective function of minimizing resistance error and maximizing measurement accuracy. fitness, when If the fitness level is lower than the preset value, it is considered that the resistance has an error. The bee represented by the resistance is deleted. After deletion, the IABC algorithm is initialized, represented as: in, It is the first The resistor configuration for each bee, and These are the minimum and maximum resistance values, respectively. and These are the initial voltage and temperature conditions. This represents a pseudo-random number generation function; The local optimum search is performed during the hired bee phase, represented as: in, express Another set of resistors within the preset range; follow the bee phase to perform better resistance analysis, and select the better solution for exploration. Represented as: in, It is the first The fitness value of each solution.

[0012] As a preferred embodiment of the self-calibration method for the converter station valve-side bushing resistor divider described in this invention, the determination of the optimal resistance value setting includes performing a new environmental adaptability analysis when generating a new, better resistance during the reconnaissance bee phase, expressed as: in, and These are the current voltage and temperature conditions.

[0013] As a preferred embodiment of the self-calibration method for the converter station valve-side bushing resistor divider described in this invention, the determination of the optimal resistance value setting further includes, after completing the generation of a better resistance, performing an update of the optimal solution condition judgment, expressed as: if When a new set of resistors meets the optimal condition, it is identified as the optimal resistor and no further updates or iterations are performed. The output resistor is then self-calibrated. When a new set of resistors does not meet the optimal condition, the iteration continues.

[0014] Another objective of this invention is to provide a self-calibration system for a converter station valve-side bushing resistor divider. This system can select the optimal resistance under actual working conditions by considering the interaction effect of voltage and temperature and the influence of the actual working environment on the resistance. This solves the problem that current self-calibration methods for resistor dividers fail to effectively integrate environmental factors on the resistor voltage division value, thus limiting the calibration accuracy.

[0015] As a preferred embodiment of the self-calibration system for the valve-side bushing resistive voltage divider in the converter station according to the present invention, it includes: a data acquisition module, a model building module, and an IABC calibration module; the data acquisition module is used to configure sensors and acquire resistive voltage divider data; the model building module is used to establish a model of the relationship between the resistance value of the valve-side bushing resistive voltage divider and the measurement error; the IABC calibration module is used to input the output resistance data and run an optimized IABC algorithm, perform iterative search based on the model and input data, determine the optimal resistance value setting, and achieve the predetermined calibration target.

[0016] A computer device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement a self-calibration method for a converter station valve-side bushing resistive voltage divider.

[0017] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a self-calibration method for a converter station valve-side bushing resistive voltage divider.

[0018] The beneficial effects of this invention are as follows: The self-calibration method for the resistor divider in the valve-side bushing of the converter station provided by this invention considers the interaction effect of voltage and temperature, as well as the influence of the actual working environment on the resistance, and selects the optimal resistance under actual working conditions. The IABC algorithm improves the efficiency and accuracy of calibration by simulating the behavior of bees searching for food and judging the fitness of the set, enabling the resistor divider to automatically adjust to the optimal state under different conditions, ensuring the stable operation of the converter station. This invention achieves better results in both calibration efficiency and calibration accuracy. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 The first embodiment of the present invention provides an overall flowchart of a self-calibration method for a converter station valve-side bushing resistor divider.

[0021] Figure 2 A line graph showing the data of a self-calibration method for a converter station valve-side bushing resistor divider provided in the second embodiment of the present invention.

[0022] Figure 3 The following is an overall flowchart of a self-calibration system for a converter station valve-side bushing resistor divider, provided as a third embodiment of the present invention. Detailed Implementation

[0023] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0024] Example 1 Reference Figure 1 As one embodiment of the present invention, a self-calibration method for a converter station valve-side bushing resistance divider is provided, comprising: S1: Configure the sensor to collect data from the resistor divider.

[0025] Furthermore, the system configures sensors to collect data from the resistive voltage divider, including configuring voltage and current sensors, determining resistance based on built-in four-wire measurements, deploying temperature sensors in the resistive voltage divider and converter station valve-side bushing environment to capture temperature distribution and changes, and transmitting data via a wireless sensor network.

[0026] S2: Establish a model for the relationship between the resistance value of the valve-side bushing resistance voltage divider and the measurement error.

[0027] Furthermore, establishing a model for the relationship between the resistance value of the valve-side bushing resistance divider and the measurement error involves constructing an objective function that minimizes the resistance error and maximizes the measurement accuracy, expressed as: in, Indicates the regulating factor. This represents the actual value of the i-th resistor, which is often the resistance value specified by the manufacturer. This represents the measured value of the i-th resistor. This indicates the maximum possible resistance error.

[0028] It should be noted that the model establishing the relationship between the resistance value of the valve-side bushing resistance divider and the measurement error also includes incorporating the effects of operating voltage and ambient temperature during operation, constructing an interaction model between voltage and temperature, expressed as: in, and These represent the optimal operating points for voltage and temperature, respectively. and These are parameters that adjust the sensitivity to voltage and temperature. and It is an introduced parameter that adjusts the effect of the voltage and temperature interaction on sensitivity. It is a coefficient that adjusts the nonlinear interaction between voltage and temperature. It is a function of the interaction effect of voltage and temperature, expressed as: in, It is a coefficient that modulates the intensity of the interaction effect.

[0029] S3: Input the output resistance data and run the optimized IABC algorithm. Iteratively search based on the model and input data to determine the optimal resistance value setting and achieve the predetermined calibration target.

[0030] Furthermore, the output resistance data is input and the optimized IABC algorithm is run, which involves setting each bee to represent a possible resistance. , It is a set of resistor configurations, determined based on the objective function of minimizing resistance error and maximizing measurement accuracy. fitness, when If the fitness level is lower than the preset value, it is considered that the resistance has an error. The bee represented by the resistance is deleted. After deletion, the IABC algorithm is initialized, represented as: in, It is the first The resistor configuration for each bee, and These are the minimum and maximum resistance values, respectively. and These are the initial voltage and temperature conditions. This represents a pseudo-random number generation function.

[0031] The local optimum search is performed during the hired bee phase, represented as: in, express Another set of resistors within the preset range. Following the bee phase, perform a better resistance analysis and explore the probability of selecting a better solution. Represented as: in, It is the first The fitness value of each solution.

[0032] It should be noted that determining the optimal resistance setting includes performing a new environmental adaptation analysis when generating new, better resistances during the reconnaissance bee phase, expressed as: in, and The current voltage and temperature conditions are considered. The dynamic optimization process introduced by the new environmental adaptability analysis ensures the real-time nature and flexibility of the resistive voltage divider calibration. By considering the performance of the converter station valve-side bushing resistive voltage divider under different voltage and temperature conditions, this method can adapt to fluctuations and changes in grid operation, improving the robustness of the calibration method. During the reconnaissance phase, the new environmental adaptability analysis optimizes the measurement accuracy of the resistance value by precisely matching the resistance configuration with the current voltage and temperature conditions. This matching reduces measurement errors caused by environmental changes, thereby improving the performance and safety of the entire converter station system. Traditional calibration methods may require repeated experiments under fixed conditions to determine the optimal resistance configuration. In contrast, the new environmental adaptability analysis allows for real-time adjustments, reducing the need for repeated calibrations and saving time and costs.

[0033] It should also be noted that determining the optimal resistance value setting also includes updating the optimal solution condition after generating a better resistance, as shown below: if When a new set of resistors meets the optimal condition, it is identified as the optimal resistor and no further updates or iterations are performed. The output resistor is then self-calibrated. When a new set of resistors does not meet the optimal condition, the iteration continues.

[0034] Example 2 Reference Figure 2As an embodiment of the present invention, a self-calibration method for a converter station valve-side bushing resistance voltage divider is provided. To verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculations and simulation experiments.

[0035] First, a brand new resistor device was selected for the experiment. Based on the data provided by the manufacturer, and after completing the adjustment, the actual resistance value was determined. Since the resistor was brand new, the current actual resistance was the optimal resistor configuration.

[0036] For sensor configuration, high-precision voltage and current sensors are employed, and the resistance value of the resistive voltage divider is determined using a four-wire measurement method. Simultaneously, to capture the effect of temperature on the resistance value, temperature sensors are deployed on the resistive voltage divider and its surrounding environment. All sensors are connected to a wireless sensor network, ensuring real-time data transmission while reducing wiring complexity.

[0037] Reference Figure 2 By comparing the experimental data, it can be seen that after calibration, the calibration data curve of our invention can almost match the real resistance data. However, the traditional method does not adopt the algorithm of this invention and adopts the conventional calibration method, which can be clearly seen to have a certain deviation, and its output calibration scheme has a large error.

[0038] Example 3 Reference Figure 3 As an embodiment of the present invention, a self-calibration system for a converter station valve-side bushing resistor divider is provided, including a data acquisition module, a model building module, and an IABC calibration module.

[0039] The data acquisition module is used to configure the sensor and collect data from the resistance divider. The model building module is used to establish a model of the relationship between the resistance value of the valve-side bushing resistance divider and the measurement error. The IABC calibration module is used to input the output resistance data and run the optimized IABC algorithm, performing iterative search based on the model and input data to determine the optimal resistance value setting and achieve the predetermined calibration target.

[0040] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0041] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0042] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0043] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc. It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0044] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A self-calibration method for a converter station valve-side bushing resistance divider, characterized in that, include: Configure sensors to collect data from the resistive voltage divider; Establish a model relating the resistance value of the valve-side bushing resistance voltage divider to the measurement error; The output resistance data is input and the optimized IABC algorithm is run. Based on the model and input data, the algorithm iteratively searches to determine the optimal resistance value setting and achieve the predetermined calibration goal. The model establishing the relationship between the resistance value of the valve-side bushing resistance divider and the measurement error includes constructing an objective function that minimizes the resistance error and maximizes the measurement accuracy, expressed as: in, Indicates the regulating factor. This represents the actual value of the i-th resistor. This represents the measured value of the i-th resistor. Indicates the maximum resistance error. The total number of resistors involved in the resistance error calculation; The model establishing the relationship between the resistance value of the valve-side bushing resistive voltage divider and the measurement error also includes incorporating the effects of operating voltage and ambient temperature during operation, constructing an interaction model of voltage and temperature, expressed as: in, and These represent the optimal operating points for voltage and temperature, respectively. and These are parameters that adjust the sensitivity to voltage and temperature. and It is an introduced parameter that adjusts the effect of the voltage and temperature interaction on sensitivity. It is a coefficient that adjusts the nonlinear interaction between voltage and temperature. It is a function of the interaction effect of voltage and temperature, expressed as: in, It is a coefficient that modulates the intensity of the interaction effect; The process of inputting the output resistance data and running the optimized IABC algorithm includes assuming each bee represents a possible resistance. , It is the first The resistor configuration for each bee is determined based on the objective function of minimizing resistance error and maximizing measurement accuracy. fitness, when If the fitness level is lower than the preset value, it is considered that the resistance has an error. The bee represented by the resistance is deleted. After deletion, the IABC algorithm is initialized, represented as: in, It is the first The resistor configuration for each bee, and These are the minimum and maximum resistance values, respectively. and These are the initial voltage and temperature conditions. This represents a pseudo-random number generation function; The local optimum search is performed during the hired bee phase, represented as: in, express Another set of resistors within the preset range; Following the bee phase, perform a better resistance analysis and explore the probability of selecting a better solution. Represented as: in, It is the first The fitness value of each solution.

2. The self-calibration method for the converter station valve-side bushing resistance voltage divider as described in claim 1, characterized in that: The configured sensors collect data from the resistive voltage divider, including configuring voltage and current sensors. The resistance is determined based on the built-in four-wire measurement. Temperature sensors are deployed in the resistive voltage divider and the converter station valve side bushing environment to capture temperature distribution and changes. Data is transmitted based on a wireless sensor network.

3. The self-calibration method for the converter station valve-side bushing resistance voltage divider as described in claim 2, characterized in that: The determination of the optimal resistance value setting includes performing a new environmental adaptation analysis when generating a new, better resistance during the reconnaissance bee phase, expressed as: in, and These are the current voltage and temperature conditions.

4. The self-calibration method for the converter station valve-side bushing resistance voltage divider as described in claim 3, characterized in that: The determination of the optimal resistance value setting also includes updating the optimal solution condition judgment after completing one generation of a better resistance, expressed as: if When a new set of resistors meets the optimal condition, it is identified as the optimal resistor and no further updates or iterations are performed. The output resistor is then self-calibrated. When a new set of resistors does not meet the optimal condition, the iteration continues.

5. A system employing the self-calibration method for the converter station valve-side bushing resistance voltage divider as described in any one of claims 1 to 4, characterized in that: Includes a data acquisition module, a model building module, and an IABC calibration module; The data acquisition module is used to configure the sensor and acquire data from the resistive voltage divider. The model building module is used to establish a model of the relationship between the resistance value of the valve-side bushing resistance voltage divider and the measurement error; The IABC calibration module is used to input the output resistance data and run the optimized IABC algorithm. Based on the model and input data, iterative search is performed to determine the optimal resistance value setting and achieve the predetermined calibration target.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the self-calibration method for the converter station valve-side bushing resistor divider as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the self-calibration method for the converter station valve-side bushing resistor divider as described in any one of claims 1 to 4.

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