Flue gas monitoring power supply stability control method based on inverse compensation

Abstract

The application discloses a flue gas monitoring power supply stability control method based on inversion compensation and relates to the technical field of power supply stability, which is used for solving the problems of unstable power supply of a flue gas monitoring room and easy interference of monitoring equipment, counting the start-stop times of power consumption equipment in a factory area to determine whether to enter an electric energy quality detection stage by setting a statistical time, collecting voltage signals at an input end of a power grid in the factory area and recording waveform peak count, analyzing voltage waveform features to extract distortion features, performing disturbance frequency analysis to generate an electric energy disturbance coefficient in combination with the peak count, classifying electric energy disturbance states, automatically selecting an electric energy compensation control method according to a classification result, implementing regulation and control on a power supply loop of the flue gas monitoring room, setting a monitoring window, detecting voltage drop of multiple power supply loops and temperature data of an energy storage module cell, calculating a power supply quality index according to the voltage drop, generating a compensation regulation score according to temperature analysis of a cell temperature rise rate, and improving power supply stability and energy efficiency in the factory area.

Description

Technical Field

[0001] This invention relates to the field of power supply stability technology, and more specifically, to a flue gas monitoring power supply stability control method based on inverter compensation. Background Technology

[0002] In industrial plants, especially in environments involving flue gas monitoring and emission control, the stability of the power supply system is crucial for the reliable operation of monitoring equipment. In the existing plant power grid, factors such as frequent start-ups and shutdowns of load equipment, long power lines, and uneven load distribution can easily lead to voltage fluctuations, voltage drops, and power disturbances, thereby affecting the normal operation of sensors and data acquisition equipment in the flue gas monitoring room.

[0003] The existing technology has the following shortcomings: Currently, existing technologies mainly rely on traditional voltage stabilizing equipment or fixed-capacity reactive power compensation devices, which cannot respond in a timely manner to voltage fluctuations and power disturbances caused by frequent start-ups and shutdowns of plant load equipment. They also lack dynamic compensation methods that integrate voltage waveform characteristics with the temperature rise status of energy storage modules, resulting in unstable power supply to flue gas monitoring rooms, susceptibility of monitoring equipment to interference, and reduced lifespan of energy storage modules. Therefore, a flue gas monitoring power supply stability control method based on inverter compensation is proposed.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide a flue gas monitoring power supply stability control method based on inverter compensation. This method solves the problems mentioned in the background art by using plant load start-stop statistics, voltage waveform and peak characteristic analysis, power disturbance state classification, dynamic selection of power compensation control methods, and comprehensive regulation by integrating voltage drop and energy storage module temperature rise data.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a flue gas monitoring power supply stability control method based on inverter compensation, comprising the following steps: Step S1: Set the statistical time, count the number of times the electrical equipment in the factory area starts and stops, and determine whether the power quality detection stage has been entered. When the power quality detection stage has been entered, detect the voltage signal and waveform spike count at the input end of the power grid in the factory area. Step S2: Based on the voltage signal and analyze the voltage waveform distortion characteristics, use waveform spike counting to perform disturbance frequency analysis to generate power disturbance coefficient, and combine the voltage waveform distortion characteristics to classify the power disturbance status of the power grid in the plant area. Step S3: Based on the classification results of the power disturbance state, select different power compensation control methods and regulate the power output of the power supply circuit of the flue gas monitoring room. Set the monitoring time and monitor the voltage drop data of multiple power supply circuits and the cell temperature data of the energy storage module. Step S4: Calculate the power quality index using voltage drop data, analyze the cell temperature rise rate based on cell temperature data, integrate the power quality index and cell temperature rise rate to evaluate the compensation and control score, and determine whether to change the power compensation control method based on the compensation and control score.

[0007] In a preferred embodiment, in step S1, a statistical time is set, the current of each electrical device in the factory area during the statistical time is obtained through a current transformer, and the current sequence of each electrical device is integrated. Select a current sequence of an electrical device, subtract each adjacent current and take the absolute value to obtain a current change sequence; If there is a current change in the current change sequence of electrical equipment that is greater than or equal to a preset current change threshold, then the corresponding current change corresponds to a start-up or shutdown of the electrical equipment. Conversely, if the change in current is normal, then the change in current is considered to be a normal current fluctuation. The number of times electrical equipment starts and stops within a statistical period is counted as the start-stop count.

[0008] In a preferred embodiment, in step S1, the number of times each electrical device starts and stops is added together to obtain the number of times the electrical devices in the factory area start and stop within the statistical time period; The frequency of starting and stopping electrical equipment in the factory area is obtained by dividing the number of times the equipment starts and stops within the statistical period by the statistical period. If the start-stop frequency of electrical equipment in the factory area is greater than or equal to the preset start-stop frequency threshold, then the power quality detection stage will begin. Conversely, it will not enter the power quality testing stage.

[0009] In a preferred embodiment, in step S1, when entering the power quality detection stage, a preset acquisition period is set, the voltage signal at the input end of the power grid in the plant area is obtained through a voltage transformer, the voltage signal is converted into a digital signal, and integrated into a voltage signal sequence at the input end of the power grid in the plant area. The waveform spike count at the input terminal of the power grid is obtained by analyzing the voltage signal sequence at the input terminal of the power grid using the waveform analysis unit.

[0010] In a preferred embodiment, in step S2, the voltage signal sequence at the input end of the power grid in the plant area is traversed, the first rising zero crossing point is selected, and the first rising zero crossing point is combined with the voltage signal at the input end of the power grid in the plant area to form an actual voltage waveform sequence. The preset ideal waveform is divided into voltage signals corresponding to multiple acquisition times according to the acquisition time interval, and then integrated into an ideal voltage waveform sequence. The root mean square error (RMSE) between the actual voltage waveform sequence and the ideal voltage waveform sequence is calculated using the RMSE calculation method, and the RMSE value is used as a characteristic of voltage waveform distortion.

[0011] In a preferred embodiment, in step S2, the ratio of the waveform spike count at the input terminal of the power grid to the preset acquisition period is used as the disturbance frequency. The electrical energy disturbance coefficient is obtained by standardizing the disturbance frequency. The distortion characteristic coefficients are obtained by standardizing the voltage waveform distortion characteristics. The power disturbance state value of the power grid in the plant area is calculated by combining the distortion characteristic coefficient and the power disturbance coefficient. If the power disturbance state value of the power grid in the plant area is greater than or equal to the preset power disturbance state threshold, the power disturbance state of the power grid in the plant area is determined to be a high disturbance state. Conversely, the power disturbance state of the power grid in the plant area is determined to be a low disturbance state.

[0012] In a preferred embodiment, in step S3, different power compensation control methods are selected based on the classification results of the power disturbance state, and the power output of the power supply circuit of the flue gas monitoring room is regulated: If the classification result of the power disturbance state is low disturbance state, then the inverter output modulation compensation method is selected. If the classification result of the power disturbance state is a high disturbance state, then the energy storage module linkage compensation method is selected.

[0013] In a preferred embodiment, in step S3, the monitoring time is set and multiple sampling times are divided, and the voltage of each power supply circuit of the flue gas monitoring room is obtained through a digital multi-channel voltage sensor. The difference between the maximum and minimum voltage of the power supply circuit is taken as the voltage drop of the power supply circuit in the flue gas monitoring room. The voltage drop amplitude of each power supply circuit is integrated into the voltage drop data of each power supply circuit in the flue gas monitoring room; The cell temperature of the energy storage module at each sampling time is obtained by a thermistor sensor and integrated into the cell temperature data of the energy storage module.

[0014] In a preferred embodiment, in step S4, the voltage drop data of each power supply circuit in the flue gas monitoring room are averaged to calculate the power supply quality index. The cell temperature rise rate at the current sampling moment is obtained by dividing the difference between the cell temperature at the current sampling moment and the cell temperature at the previous adjacent sampling moment by a fixed sampling time interval. The average value of the cell temperature rise rate at each sampling time is used to obtain the cell temperature rise rate.

[0015] In a preferred embodiment, in step S4, a compensation control score is calculated by combining the power supply quality index and the cell temperature rise rate. If the compensation control score is greater than or equal to the preset compensation control threshold, it is determined that the power compensation control method should be changed. Conversely, it is determined that no change should be made to the power compensation control method.

[0016] The technical effects and advantages of this invention are as follows: This invention uses a set statistical time to count the number of start-ups and shutdowns of electrical equipment in the plant area to determine whether the power quality detection phase has begun. When the detection conditions are met, the voltage signal at the input end of the plant's power grid is collected and the waveform spike count is recorded. The waveform characteristics of the voltage signal are analyzed to extract voltage waveform distortion characteristics. The disturbance frequency analysis is performed based on the waveform spike count to generate a power disturbance coefficient. The power disturbance coefficient and voltage waveform distortion characteristics are combined to classify the power disturbance state of the plant's power grid. Based on the classification results, the corresponding power compensation control method is automatically selected to regulate the power output of the power supply circuit of the flue gas monitoring room. At the same time, a monitoring time window is set to detect voltage drop data of multiple power supply circuits and monitor the cell temperature data of the energy storage module. The power quality index is calculated based on the voltage drop data, and the cell temperature rise rate is analyzed based on the cell temperature data. The two are combined to generate a compensation control score, and it is used to determine whether the current power quality adjustment method needs to be changed. Dynamic compensation control is performed based on the thermal characteristics of the energy storage module to achieve adaptive adjustment of power quality for key loads such as the flue gas monitoring room, thereby improving the overall power supply stability and energy efficiency of the plant area. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the implementation of the flue gas monitoring power supply stability control method based on inverter compensation according to the present invention.

[0018] Figure 2 This is a schematic diagram illustrating the steps of the flue gas monitoring power supply stability control method based on inverter compensation according to the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] This invention uses a set statistical time to count the number of start-ups and shutdowns of electrical equipment in a factory area to determine whether a power quality monitoring phase has begun. When the monitoring conditions are met, the voltage signal at the input of the factory power grid is collected and the waveform spike count is recorded. The waveform characteristics of the voltage signal are analyzed to extract voltage waveform distortion characteristics. The frequency of disturbance is analyzed in conjunction with the waveform spike count to generate a power disturbance coefficient. The power disturbance coefficient and voltage waveform distortion characteristics are combined to classify the power disturbance state of the factory power grid. Based on the classification results, the corresponding power compensation control method is automatically selected to regulate the power output of the power supply circuit of the flue gas monitoring room. At the same time, a monitoring time window is set to detect voltage drop data of multiple power supply circuits and monitor the cell temperature data of the energy storage module. The power quality index is calculated based on the voltage drop data, and the cell temperature rise rate is analyzed based on the cell temperature data. The two are combined to generate a compensation control score, and it is used to determine whether the current power quality adjustment method needs to be changed. Dynamic compensation control is performed in conjunction with the thermal characteristics of the energy storage module to achieve adaptive adjustment of power quality for key loads such as the flue gas monitoring room.

[0021] Example 1: A flue gas monitoring power supply stability control method based on inverter compensation, such as... Figures 1 to 2 As shown, it includes the following steps: Step S1: Set the statistical time, count the number of times the electrical equipment in the factory area starts and stops, and determine whether the power quality detection stage has been entered. When the power quality detection stage has been entered, detect the voltage signal and waveform spike count at the input end of the power grid in the factory area. Step S2: Based on the voltage signal and analyze the voltage waveform distortion characteristics, use waveform spike counting to perform disturbance frequency analysis to generate power disturbance coefficient, and combine the voltage waveform distortion characteristics to classify the power disturbance status of the power grid in the plant area. Step S3: Based on the classification results of the power disturbance state, select different power compensation control methods and regulate the power output of the power supply circuit of the flue gas monitoring room. Set the monitoring time and monitor the voltage drop data of multiple power supply circuits and the cell temperature data of the energy storage module. Step S4: Calculate the power quality index using voltage drop data, analyze the cell temperature rise rate based on cell temperature data, integrate the power quality index and cell temperature rise rate to evaluate the compensation and control score, and determine whether to change the power quality regulation and control method based on the compensation and control score.

[0022] The specific implementation is as follows: In step S1, a statistical time is set, and the current of each electrical device in the factory area is obtained through the current transformer installed on the electrical equipment in the factory area during the statistical time. The current of each electrical device in the factory area is integrated into a current sequence of each electrical device according to the sampling order. Select a current sequence of an electrical device, and subtract each adjacent current in the current sequence of the electrical device and take the absolute value to obtain the current change sequence of the electrical device. The current change sequence of the electrical equipment is compared with a preset current change threshold for judgment. If there is a current change in the current change sequence of electrical equipment that is greater than or equal to a preset current change threshold, then the corresponding current change corresponds to a start-up or shutdown of the electrical equipment. If there is a current change in the current change sequence of the electrical equipment that is less than the preset current change threshold, then the corresponding current change is determined to be a normal current fluctuation. The number of times electrical equipment starts and stops within a statistical period is counted as the number of times electrical equipment starts and stops. Repeat the above steps to obtain the number of times each electrical device in the factory area starts and stops within the statistical time period; It should be noted that the statistical time refers to the time period for continuous collection and analysis of current data of all electrical equipment in the factory area within a fixed time window. The statistical time is set according to the start-stop frequency and power fluctuation characteristics of the electrical equipment in the factory area, and is generally a fixed period of 10 to 30 minutes. If the equipment in the factory area starts and stops frequently, the statistical time can be set to 10 minutes; if the equipment in the factory area operates relatively stably, it can be set to 30 minutes. The current transformer is a measuring device based on the principle of electromagnetic induction, used to proportionally convert the large current on the primary side into a small current on the secondary side, which is used to measure the current of each electrical equipment in the factory area during the statistical time. The preset current change threshold is a judgment standard value used to distinguish between normal current fluctuations and changes in start-stop status of equipment. It is used to identify whether the current change reflects the start-stop behavior of the equipment. It is determined based on the rated current and operating fluctuation range of each electrical equipment in the factory area. The average value of the current fluctuation amplitude of the equipment under stable operating conditions and the typical current change of the equipment at the moment of start-stop is used as the preset current change threshold.

[0023] The number of times each electrical device in the factory area is started and stopped is added together to obtain the number of times the electrical device in the factory area is started and stopped within the statistical time period. The frequency of starting and stopping electrical equipment in the factory area is obtained by dividing the number of times the equipment starts and stops within the statistical period by the statistical period. The start-up and shutdown frequency of electrical equipment in the factory area is compared with the preset start-up and shutdown frequency threshold to determine the following: If the start-stop frequency of electrical equipment in the factory area is greater than or equal to the preset start-stop frequency threshold, the factory area is determined to be in a high-frequency load disturbance state and enters the power quality detection stage. If the start-stop frequency of the electrical equipment in the factory area is less than the preset start-stop frequency threshold, the factory area is determined to be in a stable load operation state and will not enter the power quality detection stage. When entering the power quality detection stage, a preset acquisition cycle is set, and the voltage signal at the input end of the power grid is obtained through the voltage transformer installed at the input end of the power grid in the plant area; The voltage signal at the input terminal of the power grid in the plant area is converted into a digital signal by an analog-to-digital converter and integrated into a voltage signal sequence at the input terminal of the power grid in the plant area. The voltage signal sequence at the input end of the power grid is analyzed by the built-in waveform analysis unit of the power quality analyzer to obtain the waveform spike count at the input end of the power grid.

[0024] It needs to be explained that the preset start-stop frequency threshold is a criterion value used to distinguish between a plant area in a high-frequency load disturbance state and a stable load operation state. It is calculated by statistically analyzing historical operating data of the plant area, taking the average and standard deviation of the historical start-stop frequencies of the electrical equipment, and using the sum of these values ​​as the preset start-stop frequency threshold. The preset acquisition period refers to the time period during which the voltage transformer samples the voltage signal at the input end of the plant's power grid. It is determined based on the plant's power grid frequency and power disturbance analysis requirements, and satisfies the Nyquist sampling theorem. The voltage transformer is a measuring transformer that proportionally transforms high voltage into low voltage to obtain the voltage signal at the input end of the plant's power grid. The analog-to-digital converter (ADC) is an electronic device that converts continuously changing analog signals into discrete digital signals, used to convert the voltage signal at the input end of the plant's power grid into a digital signal. The waveform analysis unit built into the power quality analyzer is the core functional unit in the analyzer that performs real-time waveform processing and feature extraction on the voltage digital signal acquired at the input end of the plant's power grid, used to obtain the waveform spike count at the input end of the plant's power grid.

[0025] In step S2, the voltage signal sequence at the input end of the power grid in the plant area is traversed, the first rising zero crossing point is selected, and the first rising zero crossing point is combined with the voltage signal at the input end of the power grid in the plant area to form the actual voltage waveform sequence. The preset ideal waveform is divided into voltage signals corresponding to multiple acquisition times according to the acquisition time interval, and then integrated into an ideal voltage waveform sequence. The root mean square error (RMSE) between the actual voltage waveform sequence and the ideal voltage waveform sequence is calculated using the RMSE calculation method, and this RMSE value is used as the voltage waveform distortion characteristic. It should be noted that voltage waveform distortion characteristics can comprehensively reflect the degree of voltage waveform distortion, including the influence of harmonics, interharmonics and other components, and are an important basis for evaluating steady-state indicators of power quality.

[0026] The ratio of the waveform spike count at the input end of the power grid in the plant area to the preset acquisition period is used as the disturbance frequency; The electrical energy disturbance coefficient is obtained by standardizing the disturbance frequency. The distortion characteristic coefficients are obtained by standardizing the voltage waveform distortion characteristics. The power disturbance state value of the power grid in the plant area is calculated by combining the distortion characteristic coefficient and the power disturbance coefficient. The calculation formula is as follows: ,in, The distortion characteristic coefficients, The electrical energy disturbance coefficient is... This represents the power disturbance state value of the power grid in the plant area; It should be noted that this formula uses the Euclidean norm, which can be geometrically interpreted as the distance from the current state point to the origin in the characteristic space composed of two dimensions: distortion and disturbance. This calculation method can simultaneously respond to two different types of power quality problems: waveform distortion and spike disturbance. The larger the power disturbance coefficient, the worse the power quality of the power grid in the plant area, and the larger the power disturbance state value. The smaller the distortion characteristic coefficient and the smaller the power disturbance coefficient, the closer the voltage of the power grid in the plant area is to the preset ideal waveform, and the smaller the power disturbance state value.

[0027] The power disturbance state value of the plant's power grid is compared with the preset power disturbance state threshold for judgment: If the power disturbance state value of the power grid in the plant area is greater than or equal to the preset power disturbance state threshold, the power disturbance state of the power grid in the plant area is determined to be a high disturbance state. If the power disturbance state value of the power grid in the plant area is less than the preset power disturbance state threshold, then the power disturbance state of the power grid in the plant area is determined to be a low disturbance state.

[0028] It needs to be explained that the rising zero-crossing point refers to the instant when the voltage in an AC signal changes from a negative value to a positive value through zero; the preset ideal waveform refers to the reference voltage waveform that the power grid input terminal should have under the conditions of no disturbance, no load impact, and power quality fully meeting the standards, which is usually a sinusoidal AC waveform; the root mean square error method is obtained by taking the square root of the average of the squared differences between the actual voltage waveform sequence and the corresponding sampling points of the ideal voltage waveform sequence, and is used to quantify the degree of distortion of the voltage waveform; the standardization processing methods include, but are not limited to, standard linear transformation based on interval scaling, Z-Score standardization method based on statistics, or normalization method based on nonlinear mapping function. The application methods of standardization processing will not be elaborated here; the preset power disturbance state threshold is a reference value used to judge the power disturbance state level of the power grid in the plant area. By statistically analyzing the power disturbance state values ​​of the power grid in the plant area under stable operation and high disturbance conditions, a critical value that can distinguish between high disturbance and low disturbance is selected as the threshold.

[0029] In step S3, different power compensation control methods are selected based on the classification results of the power disturbance state, and the power output of the power supply circuit of the flue gas monitoring room is regulated: If the classification result of the power disturbance state is low disturbance state, then the inverter output modulation compensation method is selected. If the classification result of the power disturbance state is a high disturbance state, then the energy storage module linkage compensation method is selected. It should be noted that the inverter output modulation compensation method refers to a control method that compensates for voltage fluctuations by adjusting the output characteristics of the inverter when the power disturbance is relatively minor. Based on the monitored voltage deviation, the modulation ratio and output phase angle of the inverter are finely adjusted to correct the amplitude and phase of the output voltage, so that it is consistent with the ideal voltage waveform again. The energy storage module linkage compensation method refers to a compensation control method that coordinates the energy storage module and the inverter to participate in voltage regulation when a severe power disturbance is detected. The energy storage module releases electrical energy to quickly compensate for voltage drops or instantaneous power gaps, while the inverter adjusts the amplitude and phase of the output voltage to achieve dual-layer dynamic compensation.

[0030] The monitoring time is set and multiple sampling times are divided. The voltage of each power supply circuit in the flue gas monitoring room is obtained through a digital multi-channel voltage sensor. Select a power supply circuit for the flue gas monitoring room and use the difference between the maximum and minimum voltage of the power supply circuit as the voltage drop amplitude of the power supply circuit for the flue gas monitoring room. Repeat the above steps to obtain the voltage drop amplitude of each power supply circuit of the flue gas monitoring room, and integrate them into the voltage drop data of each power supply circuit of the flue gas monitoring room. The cell temperature of the energy storage module at each sampling time is obtained by a thermistor sensor and integrated into the cell temperature data of the energy storage module.

[0031] It needs to be explained that monitoring time refers to the time window within a continuous period of time for collecting, integrating, and analyzing parameters such as current changes, power supply circuit voltage, and energy storage module temperature of various electrical equipment in the plant area. Based on the sampling and processing capabilities of the flue gas monitoring system, the monitoring time is set within the range of 1 to 5 minutes to ensure that sufficient data can be obtained for analysis of voltage drop amplitude and cell temperature rise rate, without affecting real-time control. A digital multi-channel voltage sensor is a sensor device that can simultaneously measure multiple voltage channels and directly convert analog voltage signals into digital signals for output. It is used to obtain the voltage of each power supply circuit in the flue gas monitoring room. A thermistor sensor is a sensor that utilizes the characteristic of material resistance changing with temperature to obtain the cell temperature of the energy storage module at each sampling time.

[0032] In step S4, the power quality index is calculated by averaging the voltage drop data of each power supply circuit in the flue gas monitoring room. It should be noted that the power quality index aims to quantify the overall stability of the voltage on the critical load side after the implementation of compensation measures. The smaller the index value, the smaller the voltage fluctuation of each circuit, the better the power quality, and the better the compensation control effect.

[0033] Select the cell temperature at a certain sampling moment from the cell temperature data of the energy storage module, and divide the difference between the cell temperature at this sampling moment and the cell temperature at the adjacent previous sampling moment by a fixed sampling time interval to obtain the cell temperature rise rate at that sampling moment. It should be noted that excessively rapid temperature rise not only affects the lifespan of the battery cells, but also makes monitoring the rate of temperature rise a crucial step in assessing the safety and sustainability of the compensation scheme, ensuring that the system provides power compensation without introducing additional operational risks.

[0034] Repeat the above steps to obtain the cell temperature rise rate at each sampling time within the monitoring period; The average value of the cell temperature rise rate at each sampling time within the monitoring period is used to obtain the cell temperature rise rate. The power quality index and the cell temperature rise rate are standardized to obtain the power quality factor and the temperature rise rate factor. The compensation and control score is calculated by combining the power supply quality factor and the temperature rise rate factor. The calculation formula is as follows: ,in, For power quality factor, The rate of temperature rise factor, and To preset the weighting coefficients, To compensate for the adjustment score; It should be noted that the larger the power quality factor and the larger the temperature rise rate factor, the lower the power quality, the faster the cell temperature rises, and the higher the compensation and control score. Conversely, the higher the power quality, the slower the cell temperature rises, and the lower the compensation and control score.

[0035] The compensation control score is compared with the preset compensation control threshold for judgment. If the compensation control score is greater than or equal to the preset compensation control threshold, it is determined that the power quality regulation and control method should be changed. If the compensation control score is less than the preset compensation control threshold, it is determined that the power quality regulation and control method will not be changed.

[0036] It should be explained that the preset weighting coefficient is an important parameter for balancing the influence of power quality factor and temperature rise rate factor on the compensation control score. Using historical voltage fluctuation and energy storage module temperature rise data of the plant area, the compensation control effect under different weighting coefficients is statistically analyzed. The weight combination that can more accurately reflect the actual pressure and control needs of the system is selected as the preset weighting coefficient. The preset compensation control threshold is a key parameter used to determine whether the current power quality regulation and control method needs to be adjusted. Historical data of voltage fluctuation and energy storage module temperature rise of each power supply circuit in the flue gas monitoring room are collected, the corresponding compensation control score is calculated, and the frequency of voltage drop or abnormal temperature rise in the system under different compensation control scores is statistically analyzed. The compensation control score that can balance the frequency of false triggering and safety margin is selected as the threshold.

[0037] Finally, it should be noted that in this paper, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0038] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0039] In this document, the singular forms “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that terms such as “comprising / including” or “having” specify the presence of the stated features, integrals, steps, operations, components, parts, or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, integrals, steps, operations, components, parts, or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.

[0040] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0041] The above description of the disclosed embodiments will enable those skilled in the art to make or use various modifications to these embodiments. It will be readily apparent to those skilled in the art that the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A flue gas monitoring power supply stability control method based on inverter compensation, characterized in that: Includes the following steps: Step S1: Set the statistical time, count the number of times the electrical equipment in the factory area starts and stops, and determine whether the power quality detection stage has been entered. When the power quality detection stage has been entered, detect the voltage signal and waveform spike count at the input end of the power grid in the factory area. Step S2: Based on the voltage signal and analyze the voltage waveform distortion characteristics, use waveform spike counting to perform disturbance frequency analysis to generate power disturbance coefficient, and combine the voltage waveform distortion characteristics to classify the power disturbance status of the power grid in the plant area. In step S2, the voltage signal sequence at the input end of the power grid in the plant area is traversed, the first rising zero crossing point is selected, and the first rising zero crossing point is combined with the voltage signal at the input end of the power grid in the plant area to form the actual voltage waveform sequence. The preset ideal waveform is divided into voltage signals corresponding to multiple acquisition times according to the acquisition time interval, and then integrated into an ideal voltage waveform sequence. The root mean square error between the actual voltage waveform sequence and the ideal voltage waveform sequence is calculated by the root mean square error calculation method, and the root mean square error value is used as the voltage waveform distortion characteristic. In step S2, the ratio of the waveform spike count at the input terminal of the power grid to the preset acquisition period is used as the disturbance frequency; The electrical energy disturbance coefficient is obtained by standardizing the disturbance frequency. The distortion characteristic coefficients are obtained by standardizing the voltage waveform distortion characteristics. The power disturbance state value of the power grid in the plant area is calculated by combining the distortion characteristic coefficient and the power disturbance coefficient. If the power disturbance state value of the power grid in the plant area is greater than or equal to the preset power disturbance state threshold, the power disturbance state of the power grid in the plant area is determined to be a high disturbance state. Conversely, the power disturbance state of the power grid in the plant area is determined to be a low disturbance state. Step S3: Based on the classification results of the power disturbance state, select different power compensation control methods and regulate the power output of the power supply circuit of the flue gas monitoring room. Set the monitoring time and monitor the voltage drop data of multiple power supply circuits and the cell temperature data of the energy storage module. In step S3, different power compensation control methods are selected based on the classification results of the power disturbance state, and the power output of the power supply circuit of the flue gas monitoring room is regulated: If the classification result of the power disturbance state is low disturbance state, then the inverter output modulation compensation method is selected. If the classification result of the power disturbance state is a high disturbance state, then the energy storage module linkage compensation method is selected. Step S4: Calculate the power quality index using voltage drop data, analyze the cell temperature rise rate based on cell temperature data, integrate the power quality index and cell temperature rise rate to evaluate the compensation and control score, and determine whether to change the power compensation control method based on the compensation and control score.

2. The flue gas monitoring power supply stability control method based on inverter compensation according to claim 1, characterized in that: In step S1, a statistical time is set, and the current of each electrical device in the factory area during the statistical time is obtained through a current transformer and integrated into a current sequence of each electrical device. Select a current sequence of an electrical device, subtract each adjacent current and take the absolute value to obtain a current change sequence; If there is a current change in the current change sequence of electrical equipment that is greater than or equal to a preset current change threshold, then the corresponding current change corresponds to a start-up or shutdown of the electrical equipment. Conversely, if the change in current is normal, then the change in current is considered to be a normal current fluctuation. The number of times electrical equipment starts and stops within a statistical period is counted as the start-stop count.

3. The flue gas monitoring power supply stability control method based on inverter compensation according to claim 2, characterized in that: In step S1, the number of start-ups and shutdowns of each electrical device is added together to obtain the number of start-ups and shutdowns of the electrical devices in the factory area within the statistical time period; The frequency of starting and stopping electrical equipment in the factory area is obtained by dividing the number of times the equipment starts and stops within the statistical period by the statistical period. If the start-stop frequency of electrical equipment in the factory area is greater than or equal to the preset start-stop frequency threshold, then the power quality detection stage will begin. Conversely, it will not proceed to the power quality testing stage.

4. The flue gas monitoring power supply stability control method based on inverter compensation according to claim 1, characterized in that: In step S1, when entering the power quality detection stage, a preset acquisition period is set, the voltage signal at the input end of the power grid in the plant area is obtained through the voltage transformer, the voltage signal is converted into a digital signal, and integrated into a voltage signal sequence at the input end of the power grid in the plant area. The waveform spike count at the input terminal of the power grid is obtained by analyzing the voltage signal sequence at the input terminal of the power grid using the waveform analysis unit.

5. The flue gas monitoring power supply stability control method based on inverter compensation according to claim 1, characterized in that: In step S3, the monitoring time is set and multiple sampling times are divided. The voltage of each power supply circuit in the flue gas monitoring room is obtained through a digital multi-channel voltage sensor. The difference between the maximum and minimum voltage of the power supply circuit is taken as the voltage drop of the power supply circuit in the flue gas monitoring room. The voltage drop amplitude of each power supply circuit is integrated into the voltage drop data of each power supply circuit in the flue gas monitoring room; The cell temperature of the energy storage module at each sampling time is obtained by a thermistor sensor and integrated into the cell temperature data of the energy storage module.

6. The flue gas monitoring power supply stability control method based on inverter compensation according to claim 5, characterized in that: In step S4, the power quality index is calculated by averaging the voltage drop data of each power supply circuit in the flue gas monitoring room. The cell temperature rise rate at the current sampling moment is obtained by dividing the difference between the cell temperature at the current sampling moment and the cell temperature at the previous adjacent sampling moment by a fixed sampling time interval. The average value of the cell temperature rise rate at each sampling time is used to obtain the cell temperature rise rate.

7. The flue gas monitoring power supply stability control method based on inverter compensation according to claim 6, characterized in that: In step S4, the compensation control score is calculated by combining the power supply quality index and the cell temperature rise rate. If the compensation control score is greater than or equal to the preset compensation control threshold, it is determined that the power compensation control method should be changed. Conversely, it is determined that no change should be made to the power compensation control method.

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