Substation grid-connected line ferromagnetic resonance suppression method and system

Abstract

The invention relates to a transformer substation grid-connected line ferromagnetic resonance suppression method and system, and relates to the technical field of transformer substations, and the method comprises the following steps: real-time monitoring: monitoring the electrical parameters of a transformer substation grid-connected line in real time, including voltage, current and frequency; data analysis: judging whether ferromagnetic resonance characteristics exist or not through a data analysis algorithm, wherein the characteristics comprise voltage distortion and current fluctuation; if ferromagnetic resonance characteristics are detected, the intelligent regulation and control module is automatically started; and intelligent regulation and control: the intelligent regulation and control module dynamically adjusts the switching state of the compensation reactor and the capacitor bank according to the real-time data of the power grid so as to change the resonance condition of the system and suppress the resonance. The system has the advantages that data are read through real-time monitoring, the intelligent regulation and control module is automatically started or closed after analysis, the resonance condition of the system is changed, accordingly resonance is restrained, and if the expected effect is not achieved through adjustment, the adjustment strategy is automatically switched until the resonance is effectively restrained.

Description

TECHNICAL FIELD

[0001] The application relates to a substation, in particular to a substation grid-connected line ferromagnetic resonance suppression method and system. BACKGROUND

[0002] At present, in the substation grid-connected line, ferromagnetic resonance is a common electrical phenomenon, which can be caused by improper matching of power grid parameters, improper operation or equipment failure and other factors. Ferromagnetic resonance can cause voltage and current distortion, which can damage equipment and even cause power outage accidents, seriously affecting the stability and safety of the power system. The existing resonance suppression methods are mostly based on fixed parameters or simple logic control, which are difficult to adapt to complex and changeable power grid environment, have slow response speed and cannot effectively suppress resonance in time.

[0003] In view of the related technologies in the above, in order to solve the problem that resonance cannot be suppressed in time, a substation grid-connected line ferromagnetic resonance suppression method and system are provided. SUMMARY

[0004] The purpose of the present application is to provide a substation grid-connected line ferromagnetic resonance suppression method and system to solve the above-mentioned problems.

[0005] In the first aspect, the substation grid-connected line ferromagnetic resonance suppression method provided by the present application adopts the following technical scheme: comprising the following steps: Real-time monitoring: real-time monitoring of electrical parameters of the substation grid-connected line, including voltage, current and frequency; Data analysis: determining whether the characteristics of ferromagnetic resonance appear through a data analysis algorithm, the characteristics including voltage distortion and current fluctuation; Module start: if the characteristics of ferromagnetic resonance are detected, automatically starting an intelligent control module; Intelligent control: the intelligent control module dynamically adjusts the switching state of the compensation reactor and the capacitor bank according to the real-time data of the power grid, so as to change the resonance condition of the system and suppress the occurrence of resonance.

[0006] Preferably, in the real-time monitoring step, a sensor is used to measure the electrical parameters.

[0007] Preferably, the data analysis algorithm uses a wavelet transform algorithm to analyze the voltage and current signals, extract their time-frequency domain characteristics, and determine whether there is ferromagnetic resonance.

[0008] Preferably, the intelligent control module is a control system based on a microprocessor, and the intelligent control module is electrically connected with the sensor and performs calculation and control according to a preset algorithm.

[0009] Preferably, in the step of dynamically adjusting the switching state of the compensating reactor and the capacitor bank, the number and sequence of switching of the reactor and the capacitor are automatically adjusted according to the frequency and amplitude of the resonance to change the resonance frequency of the system so as to move away from the resonance point.

[0010] In a second aspect, the application provides a substation grid-connected line ferroresonance suppression system, which adopts the following technical scheme: a sensor module, including a voltage sensor, a current sensor, a compensation device module and a frequency sensor, is used to monitor the electrical parameters of the substation grid-connected line in real time; A data processing module receives the data transmitted by the sensor module and determines whether the characteristics of ferroresonance occur through a data analysis algorithm; An intelligent control module receives the determination result of the data processing module, and if the characteristics of ferroresonance are detected, immediately starts and adjusts the compensation parameters of the grid-connected line.

[0011] Preferably, the voltage sensor adopts a voltage transformer, the current sensor adopts a current transformer, the frequency sensor adopts a digital frequency meter, and the data processing module adopts a high-performance microprocessor.

[0012] Preferably, the intelligent control module adopts a programmable logic controller to adjust the switching state of the reactor and the capacitor through a control switch.

[0013] Preferably, the compensation device module is designed and configured according to the actual situation of the power grid, the compensating reactor adopts a dry-type reactor, and the capacitor bank adopts a shunt capacitor bank.

[0014] In summary, the application has at least one of the following beneficial technical effects: 1. Real-time monitoring is the basis of the entire ferroresonance suppression system, and accurate electrical parameters are obtained to provide a basis for subsequent data analysis and resonance determination. Voltage, current and frequency are important indicators reflecting the operation state of the power grid, and any abnormal change may indicate the occurrence of ferroresonance. The wavelet transform algorithm can effectively extract the local characteristics of the signal and has high sensitivity to ferroresonance characteristics such as voltage distortion and current fluctuation. By comparing with the threshold value, it can quickly and accurately determine whether ferroresonance occurs to provide a decision basis for subsequent intelligent control. Once the characteristics of ferroresonance are detected, the intelligent control module is automatically started to ensure that measures are taken to suppress the occurrence of resonance in the shortest time, reduce the damage of resonance to the power grid, and change the resonance conditions of the system by dynamically adjusting the switching state of the compensating reactor and the capacitor bank to suppress the occurrence of resonance. The intelligent control module can accurately adjust according to the real-time data of the power grid to improve the stability and reliability of the system. 2. High-precision sensors can accurately measure electrical parameters, providing reliable data support for subsequent data analysis and resonance judgment. Their rapid response capability can promptly capture changes in electrical parameters, and their anti-interference capability ensures the accuracy of measurement results, avoiding misjudgments caused by external interference. High-precision sensors include key parameters such as voltage, current, frequency, power factor, and harmonic content. Through multi-dimensional data acquisition, a more comprehensive data foundation is provided for accurate subsequent judgment of ferroresonance. Wavelet transform algorithms, with their multi-resolution analysis capabilities, can effectively extract local signal features. Through time-frequency domain analysis of voltage and current signals, the characteristics of ferroresonance can be accurately identified, improving the accuracy of resonance judgment. The microprocessor-based control system offers high flexibility and scalability, enabling rapid... The system rapidly processes data transmitted from sensors and performs precise calculations and control based on algorithms to achieve dynamic adjustment of reactors and capacitor banks, effectively suppressing ferroresonance. It automatically adjusts the number and sequence of reactors and capacitors based on the frequency and amplitude of the resonance, allowing for more precise changes to the system's resonance conditions, moving them away from the resonance point. This dynamic adjustment method can adapt to different resonance conditions, improving the resonance suppression effect. It can determine whether ferroresonance is present based on multiple electrical parameters, including voltage distortion, current fluctuations, abnormal power factor fluctuations, and a significant increase in specific harmonic content. The intelligent control module promptly and quickly suppresses resonance. During the adjustment process, the adjustment effect is monitored in real time. If the adjustment does not achieve the expected effect, the adjustment strategy is automatically switched until the resonance is effectively suppressed. 3. Install voltage sensors, current sensors, and frequency sensors at appropriate locations on the substation's grid-connected lines according to design requirements. Connect the sensors to the data processing module to ensure accurate data transmission. The data processing module uses a high-performance microprocessor and a data processing program is written. The microprocessor receives data transmitted from the sensor modules, calls wavelet transform algorithms to analyze the voltage and current signals, and determines whether ferroresonance characteristics exist. The intelligent control module is the system's execution part, responsible for adjusting the compensation parameters of the grid-connected lines based on the data processing module's judgment results. By adjusting compensation parameters in a timely manner, the resonance conditions of the system can be changed, and the occurrence of ferroresonance can be suppressed. Voltage transformers, current transformers, and digital frequency meters have high measurement accuracy and reliability, and can accurately acquire voltage, current, and frequency signals. High-performance microprocessors have powerful computing capabilities and processing speeds, and can quickly process data transmitted by sensors, improving the system's response speed and accuracy. Programmable logic controllers have advantages such as high reliability and flexible programming, and can accurately control the operation of switches according to preset programs, realizing the dynamic adjustment of reactors and capacitor banks. By adjusting the switching states of reactors and capacitors, the resonance conditions of the system can be changed, and ferroresonance can be suppressed. The design and configuration of compensation device modules need to be based on the actual conditions of the power grid to ensure that they can effectively adjust the resonance conditions of the system. Dry-type reactors have advantages such as being oil-free, fireproof, and explosion-proof, and are suitable for substations and other places. Parallel capacitor banks can improve the power factor of the power grid and improve the operating quality of the power grid. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the overall workflow structure of this application; Detailed Implementation

[0016] The following is in conjunction with the appendix Figure 1 This application will be described in further detail below.

[0017] Example 1: A method for suppressing ferroresonance in grid-connected lines of substations, referring to... Figure 1 This includes the following steps: Real-time monitoring: Real-time monitoring of electrical parameters of substation grid-connected lines, including voltage, current and frequency; Data analysis: Data analysis algorithms are used to determine whether ferromagnetic resonance characteristics are present, including voltage distortion and current fluctuations; Module startup: If ferromagnetic resonance characteristics are detected, the intelligent control module will be automatically started; Intelligent control: The intelligent control module dynamically adjusts the switching status of the compensation reactor and capacitor bank based on real-time power grid data to change the resonance conditions of the system and suppress the occurrence of resonance.

[0018] Specifically, real-time monitoring is the foundation of the entire ferroresonance suppression system. By acquiring accurate electrical parameters, it provides a basis for subsequent data analysis and resonance judgment. Voltage, current, and frequency are important indicators reflecting the operating status of the power grid, and any abnormal changes may indicate the occurrence of ferroresonance. Wavelet transform algorithms can effectively extract local features of signals and have high sensitivity to ferroresonance features such as voltage distortion and current fluctuations. By comparing with thresholds, it can quickly and accurately determine whether ferroresonance has occurred, providing a decision-making basis for subsequent intelligent control. Once ferroresonance features are detected, the intelligent control module is automatically activated, ensuring that measures are taken to suppress the occurrence of resonance in the shortest possible time, reducing the damage of resonance to the power grid. By dynamically adjusting the switching states of compensation reactors and capacitor banks, the resonance conditions of the system can be changed, thereby suppressing the occurrence of resonance. The intelligent control module can make precise adjustments based on real-time data of the power grid, improving the stability and reliability of the system.

[0019] In the real-time monitoring step, sensors are used to measure electrical parameters.

[0020] Specifically, high-precision sensors can accurately measure electrical parameters, providing reliable data support for subsequent data analysis and resonance judgment. Their rapid response capability can promptly capture changes in electrical parameters, and their anti-interference capability can ensure the accuracy of measurement results and avoid misjudgments caused by external interference. High-precision sensors include key parameters such as voltage, current, frequency, power factor, and harmonic content. Through multi-dimensional data acquisition, they provide a more comprehensive data foundation for accurate subsequent judgment of ferroresonance.

[0021] The data analysis algorithm uses wavelet transform to analyze voltage and current signals, extract their time-frequency domain features, and determine whether ferromagnetic resonance exists.

[0022] Specifically, the wavelet transform algorithm features multi-resolution analysis, which can effectively extract local features of signals. Through time-frequency domain analysis of voltage and current signals, it can accurately identify the characteristics of ferromagnetic resonance and improve the accuracy of resonance judgment.

[0023] The intelligent control module is a microprocessor-based control system. The intelligent control module is electrically connected to the sensor and performs calculations and control according to a preset algorithm.

[0024] Specifically, microprocessor-based control systems offer high flexibility and scalability, enabling rapid processing of data transmitted from sensors and precise calculation and control based on algorithms. This allows for dynamic adjustment of reactors and capacitor banks, effectively suppressing ferroresonance.

[0025] In the step of dynamically adjusting the switching status of the compensation reactor and capacitor bank, the number and sequence of reactors and capacitors are automatically adjusted according to the resonant frequency and amplitude to change the resonant frequency of the system and move it away from the resonant point.

[0026] Specifically, by automatically adjusting the number and sequence of reactors and capacitors based on the frequency and amplitude of the resonance, the resonance conditions of the system can be changed more precisely, moving it away from the resonance point. This dynamic adjustment method can adapt to different resonance conditions and improve the resonance suppression effect. During the adjustment process, the adjustment effect is continuously monitored in real time by sensors. If the adjustment does not achieve the expected effect, the adjustment strategy is automatically switched until the resonance is effectively suppressed.

[0027] The implementation principle of this application embodiment is as follows: Real-time monitoring is the foundation of the entire ferroresonance suppression system. By acquiring accurate electrical parameters, it provides a basis for subsequent data analysis and resonance judgment. Voltage, current, and frequency are important indicators reflecting the operating status of the power grid. Any abnormal changes may indicate the occurrence of ferroresonance. Wavelet transform algorithm can effectively extract local features of the signal and has high sensitivity to ferroresonance features such as voltage distortion and current fluctuations. By comparing with a threshold, it can quickly and accurately determine whether ferroresonance has occurred, providing a decision basis for subsequent intelligent control. Once ferroresonance features are detected, the intelligent control module is automatically activated, which can ensure that measures are taken to suppress the occurrence of resonance in the shortest possible time and reduce the damage of resonance to the power grid. By dynamically adjusting the switching state of the compensation reactor and capacitor bank, the resonance conditions of the system can be changed, thereby suppressing the occurrence of resonance. The intelligent control module can make precise adjustments based on the real-time data of the power grid, improving the stability and reliability of the system. High-precision sensors accurately measure electrical parameters, providing reliable data support for subsequent data analysis and resonance determination. Their rapid response capability allows for timely detection of changes in electrical parameters, and their anti-interference capability ensures the accuracy of measurement results, avoiding misjudgments caused by external interference. These high-precision sensors include key parameters such as voltage, current, frequency, power factor, and harmonic content. Through multi-dimensional data acquisition, a more comprehensive data foundation is provided for accurate subsequent determination of ferroresonance. Wavelet transform algorithms, with their multi-resolution analysis capabilities, effectively extract local signal features. Time-frequency domain analysis of voltage and current signals accurately identifies the characteristics of ferroresonance, improving the accuracy of resonance determination. The microprocessor-based control system offers high flexibility and scalability, enabling rapid... The system processes data transmitted from sensors and performs precise calculations and control based on algorithms to achieve dynamic adjustment of reactors and capacitor banks, effectively suppressing ferroresonance. It automatically adjusts the number and sequence of reactors and capacitors based on the frequency and amplitude of the resonance, allowing for more precise changes to the system's resonance conditions, moving them away from the resonance point. This dynamic adjustment method can adapt to different resonance conditions, improving the resonance suppression effect. It can determine the presence of ferroresonance characteristics based on multiple electrical parameters, including voltage distortion, current fluctuations, abnormal power factor fluctuations, and a significant increase in specific harmonic content. The intelligent control module promptly and quickly suppresses resonance. During the adjustment process, the system monitors the adjustment effect in real time; if the adjustment does not achieve the expected effect, it automatically switches the adjustment strategy until the resonance is effectively suppressed.

[0028] Example 2: A ferroresonance suppression system for grid-connected lines in substations, referring to... Figure 1 It includes sensor modules, including voltage sensors, current sensors, compensation device modules and frequency sensors, for real-time monitoring of electrical parameters of substation grid-connected lines; The data processing module receives data transmitted from the sensor module and uses data analysis algorithms to determine whether ferromagnetic resonance characteristics are present. The intelligent control module receives the judgment results from the data processing module. If ferroresonance characteristics are detected, it immediately starts and adjusts the compensation parameters of the grid-connected line.

[0029] Specifically, according to design requirements, voltage sensors, current sensors, and frequency sensors are installed at appropriate locations on the substation's grid-connected lines. These sensors are connected to a data processing module to ensure accurate data transmission. The data processing module employs a high-performance microprocessor and has a written data processing program. The microprocessor receives data from the sensor modules, uses wavelet transform algorithms to analyze the voltage and current signals, and determines whether ferroresonance characteristics exist. The intelligent control module, the system's execution unit, is responsible for adjusting the compensation parameters of the grid-connected lines based on the data processing module's judgment results. By adjusting the compensation parameters in a timely manner, the system's resonance conditions can be altered, suppressing the occurrence of ferroresonance.

[0030] The voltage sensor uses a voltage transformer, the current sensor uses a current transformer, the frequency sensor uses a digital frequency meter, and the data processing module uses a high-performance microprocessor.

[0031] Specifically, voltage transformers, current transformers, and digital frequency meters have high measurement accuracy and reliability, and can accurately acquire voltage, current, and frequency signals. High-performance microprocessors have powerful computing capabilities and processing speed, and can quickly process the data transmitted by sensors, improving the system's response speed and accuracy.

[0032] The intelligent control module uses a programmable logic controller to adjust the switching status of reactors and capacitors by controlling switches.

[0033] Specifically, programmable logic controllers (PLCs) have advantages such as high reliability and flexible programming. They can accurately control the operation of switches according to preset programs, realize dynamic adjustment of reactors and capacitor banks, and change the resonance conditions of the system and suppress ferroresonance by adjusting the switching state of reactors and capacitors.

[0034] The compensation device module is designed and configured according to the actual situation of the power grid. The compensation reactor adopts dry-type reactor and the capacitor bank adopts parallel capacitor bank.

[0035] Specifically, the design and configuration of the compensation device module need to be based on the actual situation of the power grid to ensure that it can effectively adjust the resonance conditions of the system. Dry-type reactors have advantages such as being oil-free, fireproof, and explosion-proof, and are suitable for substations and other places. Parallel capacitor banks can improve the power factor of the power grid and improve the operating quality of the power grid.

[0036] The implementation principle of this application embodiment is as follows: Voltage sensors, current sensors, and frequency sensors are installed at appropriate locations on the substation grid-connected line according to design requirements. The sensors are connected to a data processing module to ensure accurate data transmission. The data processing module employs a high-performance microprocessor and a data processing program is written. The microprocessor receives data transmitted from the sensor module, calls a wavelet transform algorithm to analyze the voltage and current signals, and determines whether ferroresonance characteristics exist. The intelligent control module, the execution part of the system, is responsible for adjusting the compensation parameters of the grid-connected line based on the judgment results of the data processing module. By adjusting compensation parameters in a timely manner, the resonance conditions of the system can be changed, and the occurrence of ferroresonance can be suppressed. Voltage transformers, current transformers, and digital frequency meters have high measurement accuracy and reliability, and can accurately acquire voltage, current, and frequency signals. High-performance microprocessors have powerful computing capabilities and processing speeds, and can quickly process data transmitted by sensors, improving the system's response speed and accuracy. Programmable logic controllers have advantages such as high reliability and flexible programming, and can accurately control the operation of switches according to preset programs, realizing the dynamic adjustment of reactors and capacitor banks. By adjusting the switching states of reactors and capacitors, the resonance conditions of the system can be changed, and ferroresonance can be suppressed. The design and configuration of compensation device modules need to be based on the actual conditions of the power grid to ensure that they can effectively adjust the resonance conditions of the system. Dry-type reactors have advantages such as being oil-free, fireproof, and explosion-proof, and are suitable for substations and other places. Parallel capacitor banks can improve the power factor of the power grid and improve the operating quality of the power grid.

[0037] The embodiments described in this specific implementation are preferred embodiments of this application and are not intended to limit the scope of protection of this application. Identical components are represented by the same reference numerals. Therefore, all equivalent changes made to the structure, shape, and principle of this application should be included within the scope of protection of this application.

Claims

1. A method for suppressing ferroresonance in grid-connected lines of substations, characterized in that, Includes the following steps: Real-time monitoring: Real-time monitoring of electrical parameters of substation grid-connected lines, including voltage, current and frequency; Data analysis: Data analysis algorithms are used to determine whether ferromagnetic resonance characteristics are present, including voltage distortion and current fluctuations; Module startup: If ferromagnetic resonance characteristics are detected, the intelligent control module will be automatically started; Intelligent control: The intelligent control module dynamically adjusts the switching status of the compensation reactor and capacitor bank based on real-time power grid data to change the resonance conditions of the system and suppress the occurrence of resonance.

2. The method for suppressing ferroresonance in a substation grid-connected line according to claim 1, characterized in that, In the real-time monitoring step, sensors are used to measure electrical parameters.

3. The method for suppressing ferroresonance in a substation grid-connected line according to claim 1, characterized in that, The data analysis algorithm uses wavelet transform to analyze voltage and current signals, extract their time-frequency domain features, and determine whether ferromagnetic resonance exists.

4. The method for suppressing ferroresonance in a substation grid-connected line according to claim 1, characterized in that, The intelligent control module is a microprocessor-based control system. The intelligent control module is electrically connected to the sensor and performs calculations and control according to a preset algorithm.

5. The method for suppressing ferroresonance in a substation grid-connected line according to claim 1, characterized in that, In the step of dynamically adjusting the switching state of the compensation reactor and capacitor bank, the number and sequence of switching of the reactor and capacitor are automatically adjusted according to the resonant frequency and amplitude to change the resonant frequency of the system and move it away from the resonant point.

6. A ferroresonance suppression system for substation grid-connected lines, based on the ferroresonance suppression method for substation grid-connected lines according to any one of claims 1-5, characterized in that, It includes sensor modules, including voltage sensors, current sensors, compensation device modules, and frequency sensors, for real-time monitoring of electrical parameters of substation grid-connected lines; The data processing module receives data transmitted from the sensor module and uses data analysis algorithms to determine whether ferromagnetic resonance characteristics are present. The intelligent control module receives the judgment results from the data processing module. If ferroresonance characteristics are detected, it immediately starts and adjusts the compensation parameters of the grid-connected line.

7. A ferroresonance suppression system for substation grid-connected lines according to claim 6, characterized in that, The voltage sensor uses a voltage transformer, the current sensor uses a current transformer, the frequency sensor uses a digital frequency meter, and the data processing module uses a high-performance microprocessor.

8. A ferroresonance suppression system for substation grid-connected lines according to claim 6, characterized in that, The intelligent control module uses a programmable logic controller to adjust the switching status of reactors and capacitors by controlling switches.

9. A ferroresonance suppression system for a substation grid-connected line according to claim 6, characterized in that, The compensation device module is designed and configured according to the actual situation of the power grid. The compensation reactor adopts a dry-type reactor, and the capacitor bank adopts a parallel capacitor bank.

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