Intelligent filament voltage stabilization control system and method thereof

Abstract

The invention provides an intelligent filament voltage stabilization control system and a method thereof, and relates to the technical field of filament voltage stabilization control. The invention calculates a voltage boost difference according to a normal distribution range of historical power grid voltage data and a rated voltage of a filament through a voltage amplification module; a filament detection module determines a voltage change at both ends of a filament caused by filament aging by calculating a filament thermal corrosion value; and calculates a safe voltage change rate of the filament according to a maximum thermal stress value of the filament; a voltage prediction module predicts a future power grid voltage value by establishing a power grid voltage prediction model; a voltage pre-adjustment module calculates a predicted voltage difference between a predicted voltage value and a current power grid voltage, and adjusts the voltage in advance to reduce a voltage adjustment rate; and a voltage modulation module adjusts a duty cycle of a PWM wave by calculating a duty cycle and an adjustment rate, so that the voltage value of the boosted power grid voltage is stabilized at the rated voltage of the filament.

Description

Technical Field

[0001] The present invention relates to the technical field of filament voltage stabilization control, and in particular to an intelligent filament voltage stabilization control system and a method thereof. Background Art

[0002] In traditional lamp design, the filament is the core component of light emission, and its service life and light quality depend largely on the stability of the supply voltage. Unstable or inappropriate voltage will cause the filament to burn out quickly or reduce the light emission efficiency, so stable voltage is the key to improving lamp performance and extending service life.

[0003] At present, due to grid voltage fluctuations and load changes, traditional voltage stabilization measures mainly rely on hardware such as transformers and voltage regulators to manually or semi-automatically adjust the voltage. These methods often respond slowly when dealing with rapid changes in the grid and complex load conditions, and it is difficult to achieve optimal energy efficiency management and cannot fully cope with the rapidly changing grid environment. These limitations affect the reliability and economy of lamps, especially in high-demand industrial and commercial lighting occasions. In addition, with the large-scale grid connection of renewable energy, the volatility of the grid has increased, and traditional technologies have been unable to meet the requirements of high precision and high response speed. Therefore, there is a need for an intelligent voltage control system that can respond to changes in grid status in real time, make comprehensive judgments on factors affecting voltage, and automatically optimize adjustment strategies.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0005] The object of the present invention is to provide an intelligent filament voltage stabilization control system and method thereof to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An intelligent filament voltage stabilization control system, comprising:

[0008] A voltage amplification module, the voltage amplification module is used to obtain historical grid voltage data of the filament use area whose voltage is to be regulated, calculate the voltage boost difference by calculating the normal distribution range of the grid voltage and according to the rated voltage of the filament, and boost the grid voltage;

[0009] A filament detection module, which is used to obtain the cumulative use time of the filament and the material parameters of the filament, calculate the voltage change ratio at both ends of the filament caused by filament aging by calculating the thermal corrosion value of the filament, and calculate the voltage safety change rate of the filament according to the maximum thermal stress value of the filament;

[0010] A voltage prediction module is used to establish a grid voltage prediction model, by acquiring the power data of the current grid, the meteorological data of the filament use area, and the time data to form a prediction data set as the input of the model to predict the voltage value of the future grid;

[0011] A voltage pre-regulation module, which is used to calculate the predicted voltage difference between the predicted voltage value and the current grid voltage, and calculate the future safety regulation coefficient according to the voltage safety change rate of the filament, determine whether the future voltage regulation rate will cause filament loss, and reduce the voltage regulation rate by adjusting the voltage in advance;

[0012] The voltage modulation module is used to modulate the PWM wave of the boosted grid voltage. According to the real-time grid voltage after boosting, the rated voltage value of the filament, the voltage change ratio at both ends of the filament and the voltage difference that needs to be adjusted in advance, the duty cycle of the PWM wave is adjusted by calculating the duty cycle and the adjustment rate, so that the voltage value of the boosted grid voltage is stabilized at the rated voltage of the filament.

[0013] Furthermore, the calculation steps for calculating the normal distribution range of the grid voltage are:

[0014] Calculate the average voltage and standard deviation of the historical grid voltage. The specific calculation formula is: in, is the average voltage of the historical power grid voltage, is the standard deviation of the historical grid voltage, For the collection of The historical grid voltage value, is the number of times the historical grid voltage values ​​are collected, is a positive integer;

[0015] The normal distribution model of the grid voltage is established, and the calculation formula is: in, is the voltage value in the historical grid voltage The probability density function of is the voltage value appearing in the historical grid voltage;

[0016] According to the normal distribution model of the grid voltage, the normal distribution of the historical grid voltage is analyzed, and the voltage distribution probability that needs to be boosted is determined. , calculate the voltage threshold that needs to be boosted: in, is the voltage threshold that needs to be boosted, is the voltage distribution probability that needs to be boosted.

[0017] Furthermore, the step of boosting the grid voltage by calculating the voltage boost difference according to the rated voltage of the filament is:

[0018] Calculate the voltage boost difference that needs to be boosted, and calculate the boosted voltage value based on the real-time voltage of the power grid. The specific calculation formula is: in, is the voltage step-up difference, is the rated voltage of the filament;

[0019] in, is the voltage value after boosting, is the real-time voltage.

[0020] Furthermore, the filament material parameters include the initial surface area of ​​the filament, the filament temperature, the activation energy of evaporation, the initial resistance, the initial length, the initial cross-sectional area, the maximum thermal stress value, the initial mass, the specific heat capacity and the elastic modulus.

[0021] Furthermore, the calculation formula of the thermal corrosion value of the filament is: in, is the thermal erosion value of the filament, is the initial surface area of ​​the filament, is the filament temperature, is the empirical coefficient, , is the activation energy of evaporation of the filament, is the gas constant of the filament contact, The cumulative usage time of the filament;

[0022] According to the filament thermal erosion value, the calculation formula for calculating the voltage change ratio at both ends of the filament caused by filament aging is: in, is the voltage change ratio across the filament, is the initial resistance of the filament, is the initial length of the filament, is the initial cross-sectional area of ​​the filament, is the filament voltage conversion coefficient;

[0023] The calculation formula for calculating the safe change rate of the filament voltage is: in, is the safe rate of change of the filament voltage, is the maximum thermal stress value of the filament, is the initial mass of the filament, is the specific heat capacity of the filament, is the elastic modulus of the filament, is the thermal expansion coefficient of the filament.

[0024] Furthermore, the power data includes the voltage, current and frequency of the power grid;

[0025] The meteorological data include temperature, humidity, and wind speed;

[0026] The time data includes days, weeks, months, holidays and seasons.

[0027] Furthermore, the grid voltage prediction model includes an input gate, a forget gate and an output gate based on a long short-term memory neural network;

[0028] The equation of the forget gate is: in, is the current switch state of the forget gate, represents the sigmoid function, is the forget gate weight, is the forget gate bias parameter, is the hidden state at the previous moment, is the prediction data set at the current moment;

[0029] Determine how much of the unit state at the previous moment needs to be retained to the current moment;

[0030] The equation for the input gate is: in, is the current switch state of the input gate, is the input gate weight, is the input gate bias parameter;

[0031] in, Candidate cell states, To represent the hyperbolic tangent function, is the candidate cell weight, is the candidate cell state bias parameter;

[0032] Determine how much of the network's input data needs to be saved to the unit state at the current moment;

[0033] The update equation is: in, Current cell state, is the cell state at the previous moment;

[0034] The output gate equation is: in, is the current switch state of the output gate, is the output gate weight, is the output gate bias parameter, is the future grid voltage value;

[0035] Controls how much of the current unit state needs to be output to the current output value;

[0036] Among them, the mathematical expressions of the sigmoid function and the hyperbolic tangent function are: in, is the sigmoid function, is the input of the sigmoid function, is the hyperbolic tangent function.

[0037] Furthermore, the calculation formula of the predicted voltage difference is: in, To predict the voltage difference, is the voltage value of the future power grid, is the real-time voltage, is the safe rate of change of the filament voltage, The predicted time difference between the current and future grid voltage values, Adjustment factor for future safety;

[0038] when When the voltage exceeds the safe change rate, it is judged that the voltage needs to be adjusted in advance;

[0039] when When the voltage is at a safe rate, it is determined that the voltage change rate has not been exceeded and there is no need to adjust the voltage in advance.

[0040] The specific calculation formula for adjusting the voltage in advance is: in, This is the voltage difference that needs to be adjusted in advance.

[0041] Furthermore, the calculation formula for adjusting the duty cycle of the grid AC PWM wave by calculating the duty cycle and adjusting the rate is: in, is the duty cycle, is the voltage value after boosting, is the voltage change ratio across the filament, is the rated voltage of the filament, is the voltage difference that needs to be adjusted in advance. To adjust the rate, is the safe rate of change of the filament voltage.

[0042] The present invention further provides an intelligent filament voltage stabilization control method, which is executed by the above-mentioned filament voltage stabilization control system, and the steps of the filament voltage stabilization control method include:

[0043] Step 1: Obtain the historical grid voltage data of the filament usage area whose voltage is to be regulated, calculate the normal distribution range of the grid voltage, and calculate the voltage boost difference according to the rated voltage of the filament to boost the grid voltage;

[0044] Step 2: Obtain the cumulative usage time of the filament and the filament material parameters, calculate the voltage change ratio at both ends of the filament caused by filament aging by calculating the filament thermal corrosion value, and calculate the safe voltage change rate of the filament according to the maximum thermal stress value of the filament;

[0045] Step 3: Establish a grid voltage prediction model, obtain the current grid power data, the meteorological data of the filament use area, and the time data to form a prediction data set as the input of the model to predict the future grid voltage value;

[0046] Step 4: Calculate the predicted voltage difference between the predicted voltage value and the current grid voltage, and calculate the future safety adjustment coefficient according to the voltage safety change rate of the filament, determine whether the future voltage adjustment rate will cause filament loss, and reduce the voltage adjustment rate by adjusting the voltage in advance;

[0047] Step 5: Modulate the boosted grid voltage into a PWM wave. According to the real-time grid voltage after boosting, the rated voltage of the filament, the voltage change ratio at both ends of the filament and the voltage difference that needs to be adjusted in advance, the duty cycle of the PWM wave is adjusted by calculating the duty cycle and the adjustment rate, so that the voltage value of the boosted grid voltage is stabilized at the rated voltage of the filament.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] The present invention calculates the voltage boost difference according to the normal distribution range of historical grid voltage data and the rated voltage of the filament through a voltage amplification module; the filament detection module calculates the voltage change ratio at both ends of the filament caused by filament aging by calculating the filament thermal corrosion value; and calculates the safe voltage change rate of the filament according to the maximum thermal stress value of the filament; the voltage prediction module predicts the voltage value of the future grid by establishing a grid voltage prediction model; the voltage pre-adjustment module calculates the predicted voltage difference between the predicted voltage value and the current grid voltage, and adjusts the voltage in advance to reduce the voltage adjustment rate; the voltage modulation module adjusts the duty cycle of the PWM wave by calculating the duty cycle and the adjustment rate, so that the voltage value of the boosted grid voltage is stabilized at the rated voltage of the filament;

[0050] The present invention also calculates the voltage boost difference through the normal distribution range of historical grid voltage data and the rated voltage of the filament, determines a voltage threshold according to the voltage distribution probability, and raises the voltage threshold to the rated voltage of the filament to ensure that the boosted voltage is not lower than the rated voltage, so as to reduce the subsequent impact on the filament voltage regulation. The filament detection module calculates the voltage change ratio at both ends of the filament caused by filament aging by calculating the filament thermal corrosion value, and calculates the safe voltage change rate of the filament according to the maximum thermal stress value of the filament, so that the voltage stabilization system can flexibly adjust the output voltage to adapt to the resistance change caused by thermal corrosion, and ensure the normal operation and life extension of the filament while adjusting the voltage. The voltage prediction module predicts the future grid voltage value by establishing a grid voltage prediction model. The voltage pre-adjustment module calculates the predicted voltage difference between the predicted voltage value and the current grid voltage, and adjusts the voltage in advance to reduce the voltage regulation rate to avoid sudden and drastic voltage changes, which may cause damage to the filament due to excessively fast voltage adjustment at both ends of the filament. The voltage modulation module calculates the duty cycle and adjustment rate, adjusts the duty cycle of the PWM wave, stabilizes the voltage value of the boosted grid voltage at the rated filament voltage, and adjusts the duty cycle of the PWM wave to accurately and flexibly control the voltage. Through a smooth adjustment process, the system can achieve fine control and avoid unnecessary voltage shocks to the filament. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the overall system structure of the present invention;

[0052] Figure 2 It is a schematic diagram of the overall method flow of the present invention. DETAILED DESCRIPTION

[0053] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0054] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0055] Example

[0056] See also Figure 1 , the present invention provides a technical solution:

[0057] An intelligent filament voltage stabilization control system includes a voltage amplification module, a filament detection module, a voltage prediction module, a voltage pre-adjustment module and a voltage modulation module, wherein:

[0058] The voltage amplification module is used to obtain historical grid voltage data of the filament usage area whose voltage is to be regulated, and to boost the grid voltage by calculating the normal distribution range of the grid voltage and the voltage boost difference according to the rated voltage of the filament.

[0059] Normal distribution is a probability distribution widely used to describe random phenomena. It has characteristics such as symmetry and maximum entropy, and is applicable to many natural and social phenomena. Through normal distribution, we can understand the concentration trend and dispersion of data, as well as the prediction of future changes. In the voltage stabilization control of power grids, the grid voltage will fluctuate due to various factors such as load changes and power equipment failures, and these fluctuations may cause unstable power supply voltage. Therefore, the overall fluctuation distribution of voltage will be similar to normal distribution. Normal distribution helps us analyze the range and probability of voltage fluctuations, and provides a more accurate and reasonable basis for regulation.

[0060] Using normal distribution, we can estimate the probability of voltage values ​​appearing in different ranges. For example, the probability of voltage values ​​appearing within a reasonable range is high, while the probability of voltage values ​​exceeding this range is low. Through this probability analysis, we can more accurately determine the normal fluctuation range of the grid voltage, determine a voltage threshold based on the voltage distribution probability, and raise the voltage threshold to the rated voltage of the filament to ensure that the boosted voltage is not lower than the rated voltage, so as to reduce the subsequent impact on the filament voltage regulation.

[0061] In this embodiment, the calculation steps for calculating the normal distribution range of the grid voltage are:

[0062] Calculate the average voltage and standard deviation of the historical grid voltage. The specific calculation formula is: in, is the average voltage of the historical power grid voltage, is the standard deviation of the historical grid voltage, For the collection of The historical grid voltage value, is the number of times the historical grid voltage values ​​are collected, is a positive integer;

[0063] The normal distribution model of the grid voltage is established, and the calculation formula is: in, is the voltage value in the historical grid voltage The probability density function of is the voltage value appearing in the historical grid voltage;

[0064] According to the normal distribution model of the grid voltage, the normal distribution of the historical grid voltage is analyzed, and the voltage distribution probability that needs to be boosted is determined. , calculate the voltage threshold that needs to be boosted: in, is the voltage threshold that needs to be boosted, is the voltage distribution probability that needs to be boosted;

[0065] The probability density function of the normal distribution is a symmetrical bell-shaped curve, with the center of the curve being the average voltage. , the standard deviation is on both sides of the curve The distribution width is determined by the fact that about 68% of the data points are located at About 95% of the data points are located in About 99.7% of the data points are located in The voltage distribution probability of the boost voltage is therefore lie in Select according to the actual situation.

[0066] In this embodiment, the step of boosting the grid voltage by calculating the voltage boost difference according to the rated voltage of the filament is as follows:

[0067] Calculate the voltage boost difference that needs to be boosted, and calculate the boosted voltage value based on the real-time voltage of the power grid. The specific calculation formula is: in, is the voltage step-up difference, is the rated voltage of the filament;

[0068] in, is the voltage value after boosting, is the real-time voltage.

[0069] The filament detection module is used to obtain the cumulative usage time and filament material parameters of the filament, calculate the voltage change ratio at both ends of the filament caused by filament aging by calculating the filament thermal corrosion value, and calculate the safe voltage change rate of the filament according to the maximum thermal stress value of the filament.

[0070] Filament thermal erosion refers to the material loss of the filament due to thermal factors during long-term use. This loss is usually caused by the gradual oxidation or evaporation of the filament material due to high temperature, causing the filament to gradually become thinner and its resistance value to increase. The increase in resistance will cause the voltage required at both ends of the filament to change in order to maintain the same current level.

[0071] Specifically, as the thermal erosion value of the filament increases, its material cross-section decreases, resulting in increased resistance. The increased resistance requires a higher voltage to maintain the original power output of the filament. This requires the voltage stabilization system to flexibly adjust the output voltage to adapt to the resistance change caused by thermal erosion, ensuring the normal operation and life extension of the filament.

[0072] To ensure safety and filament efficiency, the safe voltage change rate of the filament needs to be calculated, which is the maximum allowable rate of voltage change without exceeding the maximum thermal stress value of the filament. This calculation takes into account the thermal expansion and mechanical stress characteristics of the filament material to ensure that even when the voltage is adjusted, the filament will not break or be damaged due to excessive thermal stress. In this way, the service life of the filament can be effectively extended and the stability of the lamp can be guaranteed.

[0073] In this embodiment, the filament material parameters include the initial surface area of ​​the filament, the filament temperature, the activation energy of evaporation, the initial resistance, the initial length, the initial cross-sectional area, the maximum thermal stress value, the initial mass, the specific heat capacity and the elastic modulus.

[0074] The calculation formula of the thermal erosion value of the filament is: in, is the thermal erosion value of the filament, is the initial surface area of ​​the filament, is the filament temperature, is the empirical coefficient, , is the activation energy of evaporation of the filament, is the gas constant of the filament contact, The cumulative usage time of the filament;

[0075] According to the filament thermal erosion value, the calculation formula for calculating the voltage change ratio at both ends of the filament caused by filament aging is: in, is the voltage change ratio across the filament, is the initial resistance of the filament, is the initial length of the filament, is the initial cross-sectional area of ​​the filament, is the filament voltage conversion coefficient;

[0076] The calculation formula for calculating the safe change rate of the filament voltage is: in, is the safe rate of change of the filament voltage, is the maximum thermal stress value of the filament, is the initial resistance of the filament, is the initial mass of the filament, is the specific heat capacity of the filament, is the elastic modulus of the filament, is the thermal expansion coefficient of the filament.

[0077] The voltage prediction module is used to establish a grid voltage prediction model, by acquiring the power data of the current grid, the meteorological data of the filament use area, and the time data to form a prediction data set as the input of the model to predict the voltage value of the future grid.

[0078] In this embodiment, the power data includes the voltage, current and frequency of the power grid;

[0079] The meteorological data include temperature, humidity, and wind speed;

[0080] The time data includes days, weeks, months, holidays and seasons.

[0081] The voltage of the power grid reflects the power supply level and stability of the power grid, the current reflects the load of the power grid, and the frequency is an indicator of the stability of the power grid operation. These parameters directly affect the performance of the power grid and the voltage supply to the connected filaments. Meteorological conditions can affect the efficiency and safety of power equipment. For example, rising temperatures may cause increased resistance in wires, thereby affecting voltage levels; changes in humidity can affect the insulation performance of electrical equipment; wind speed mainly affects the output of wind power generation, indirectly affecting the voltage supply of the entire power grid. Time data can predict models to understand the cyclical changes in power demand. For example, power consumption patterns on weekdays and weekends are different, there may be higher power demand on holidays, and seasonal changes can affect residential and commercial power consumption patterns.

[0082] Grid voltage data is a typical time series data, and its characteristics and future values ​​largely depend on the patterns and trends of historical data. The characteristics of the long short-term memory neural network, which is good at processing time series data, can effectively capture the change pattern of grid voltage data over time. The grid voltage is affected by many factors in the past, such as historical load, weather changes, and seasonal factors. The long short-term memory neural network can effectively "remember" important information over a long span and "forget" irrelevant information through its internal gate control mechanism, which makes it more accurate in predicting voltage. Incorporating different types of data into the prediction model, such as power usage data, meteorological conditions, and time tags, can provide a more comprehensive perspective to analyze and predict changes in grid voltage. The long short-term memory neural network can process data from these different sources and integrate this information to improve the accuracy and reliability of the prediction. The environment of the power grid is constantly changing, including changes in daily consumption patterns and emergencies. The long short-term memory neural network model can update its weights based on real-time data and adapt to these changes, thereby providing continuous and accurate voltage prediction.

[0083] By predicting future grid voltage changes, the system can react in advance and adjust the voltage of the filaments, thereby avoiding the impact of voltage fluctuations on the filaments. This pre-adjustment helps maintain the filaments at the optimal voltage, ensuring the lighting effect and filament life. The voltage difference calculated using the prediction model allows the system to adjust the voltage in a smoother manner, avoiding the impact on the filaments caused by sudden voltage fluctuations and overly fast voltage regulation. Smooth voltage regulation reduces equipment wear and extends equipment life.

[0084] In this embodiment, the grid voltage prediction model is based on a long short-term memory neural network and includes an input gate, a forget gate and an output gate;

[0085] The equation of the forget gate is: in, is the current switch state of the forget gate, represents the sigmoid function, is the forget gate weight, is the forget gate bias parameter, is the hidden state at the previous moment, is the prediction data set at the current moment;

[0086] Determine how much of the unit state at the previous moment needs to be retained to the current moment;

[0087] The equation for the input gate is: in, is the current switch state of the input gate, is the input gate weight, is the input gate bias parameter;

[0088] in, Candidate cell states, To represent the hyperbolic tangent function, is the candidate cell weight, is the candidate cell state bias parameter;

[0089] Determine how much of the network's input data needs to be saved to the unit state at the current moment;

[0090] The update equation is: in, Current cell state, is the cell state at the previous moment;

[0091] The output gate equation is: in, is the current switch state of the output gate, is the output gate weight, is the output gate bias parameter, is the future grid voltage value;

[0092] Controls how much of the current unit state needs to be output to the current output value;

[0093] Among them, the mathematical expressions of the sigmoid function and the hyperbolic tangent function are: in, is the sigmoid function, is the input of the sigmoid function, is the hyperbolic tangent function.

[0094] The voltage pre-regulation module is used to calculate the predicted voltage difference between the predicted voltage value and the current grid voltage, and calculate the future safety adjustment coefficient according to the voltage safety change rate of the filament, determine whether the future voltage adjustment rate will damage the filament, and reduce the voltage adjustment rate by adjusting the voltage in advance.

[0095] By predicting voltage changes and adjusting the voltage in advance based on the safe change rate of the filament, drastic voltage changes on the filament can be avoided. This gradual adjustment helps reduce the thermal stress and physical loss of the filament caused by the sudden voltage change, thereby extending the life of the filament. Because the filament will continue to expand and contract thermally when experiencing frequent voltage changes. This repeated thermal cycle will cause physical fatigue of the filament material, thereby reducing the service life of the filament.

[0096] In this embodiment, the calculation formula for the predicted voltage difference is: in, To predict the voltage difference, is the voltage value of the future power grid, is the real-time voltage, is the safe rate of change of the filament voltage, The predicted time difference between the current and future grid voltage values, Adjustment factor for future safety.

[0097] The safety regulation factor is a quantitative indicator used to measure the degree to which the voltage can be safely adjusted within a specific time interval.

[0098] when When the voltage exceeds the safe change rate, it is judged that the voltage needs to be adjusted in advance;

[0099] when When the voltage is at a safe rate, it is determined that the voltage change rate has not been exceeded and there is no need to adjust the voltage in advance.

[0100] The specific calculation formula for adjusting the voltage in advance is: in, This is the voltage difference that needs to be adjusted in advance.

[0101] The voltage modulation module is used to modulate the PWM wave of the boosted grid voltage. According to the real-time voltage of the boosted grid, the rated voltage value of the filament, the voltage change ratio at both ends of the filament and the voltage difference that needs to be adjusted in advance, the duty cycle of the PWM wave is adjusted by calculating the duty cycle and the adjustment rate, so that the voltage value of the boosted grid voltage is stabilized at the rated voltage of the filament.

[0102] PWM wave is a technology that regulates voltage or current by controlling the duty cycle of the signal, that is, the ratio of the high level time within the signal cycle to the total cycle. PWM wave achieves the purpose of controlling power output by adjusting the switching time ratio of the electrical signal at a fixed frequency, that is, the proportion of the time duration of the high level and the low level.

[0103] By adjusting the duty cycle of the PWM wave, the voltage can be precisely controlled. For the intelligent filament voltage stabilization system, precise voltage control is crucial because the filament is very sensitive to voltage fluctuations. Excessive voltage fluctuations may cause premature aging or damage to the filament. Through PWM modulation, the system can adjust the voltage very flexibly.

[0104] By precisely adjusting the PWM wave duty cycle, a smooth voltage output can be achieved to avoid affecting the performance of the filament due to excessive voltage fluctuations. For example, if the grid voltage fluctuates greatly, PWM regulation can "smooth" these fluctuations into a stable output voltage, keeping the output voltage relatively stable. Stable voltage helps avoid thermal stress and physical damage caused by excessively high or low voltage.

[0105] Compared with linear step-down, PWM regulation has less power loss because PWM changes the voltage by simply changing the on-off time of the switch rather than consuming additional energy.

[0106] In this embodiment, the calculation formula for adjusting the duty cycle of the grid AC PWM wave by calculating the duty cycle and adjusting the rate is: in, is the duty cycle, is the voltage value after boosting, is the voltage change ratio across the filament, is the rated voltage of the filament, is the voltage difference that needs to be adjusted in advance. To adjust the rate, is the safe rate of change of the filament voltage.

[0107] The larger the duty cycle, the higher the average output voltage; the smaller the duty cycle, the lower the average output voltage. In voltage regulation control, by adjusting the duty cycle, the system can accurately control the boosted grid voltage to ensure that it meets the rated operating voltage of the filament.

[0108] The adjustment rate refers to the rate at which the duty cycle of the PWM wave changes per unit time, that is, the amplitude of the duty cycle change per second. It determines the speed at which the PWM wave adjusts the duty cycle. The adjustment rate determines how fast the system adjusts the duty cycle. If the adjustment rate is too fast, it may cause a drastic change in the voltage output, causing system instability; if the adjustment rate is too slow, it may cause a delay in the system response and fail to compensate for the fluctuation of the grid voltage in time, causing voltage instability. An appropriate adjustment rate can help the system smoothly transition to the target voltage and avoid voltage fluctuations or "overshoot" caused by over-regulation. Through a smooth adjustment process, the system can achieve fine control, avoid unnecessary voltage shocks to the filament, and ensure that the filament voltage always remains within a safe range.

[0109] See also Figure 2 The present invention also provides an intelligent filament voltage stabilization control method, which is executed by the above-mentioned filament voltage stabilization control system, and the steps of the filament voltage stabilization control method include:

[0110] Step 1: Obtain the historical grid voltage data of the filament usage area whose voltage is to be regulated, calculate the normal distribution range of the grid voltage, and calculate the voltage boost difference according to the rated voltage of the filament to boost the grid voltage;

[0111] Step 2: Obtain the cumulative usage time of the filament and the filament material parameters, calculate the voltage change ratio at both ends of the filament caused by filament aging by calculating the filament thermal corrosion value, and calculate the safe voltage change rate of the filament according to the maximum thermal stress value of the filament;

[0112] Step 3: Establish a grid voltage prediction model, obtain the current grid power data, the meteorological data of the filament use area, and the time data to form a prediction data set as the input of the model to predict the future grid voltage value;

[0113] Step 4: Calculate the predicted voltage difference between the predicted voltage value and the current grid voltage, and calculate the future safety adjustment coefficient according to the voltage safety change rate of the filament, determine whether the future voltage adjustment rate will cause filament loss, and reduce the voltage adjustment rate by adjusting the voltage in advance;

[0114] Step 5: Modulate the boosted grid voltage into a PWM wave. According to the real-time grid voltage after boosting, the rated voltage of the filament, the voltage change ratio at both ends of the filament and the voltage difference that needs to be adjusted in advance, the duty cycle of the PWM wave is adjusted by calculating the duty cycle and the adjustment rate, so that the voltage value of the boosted grid voltage is stabilized at the rated voltage of the filament.

[0115] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0116] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0117] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0118] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An intelligent filament voltage stabilization control system, characterized in that: include: A voltage amplification module, the voltage amplification module is used to obtain historical grid voltage data of the filament use area whose voltage is to be regulated, calculate the voltage boost difference by calculating the normal distribution range of the grid voltage and according to the rated voltage of the filament, and boost the grid voltage; A filament detection module, which is used to obtain the cumulative use time of the filament and the material parameters of the filament, calculate the voltage change ratio at both ends of the filament caused by filament aging by calculating the thermal corrosion value of the filament, and calculate the voltage safety change rate of the filament according to the maximum thermal stress value of the filament; A voltage prediction module is used to establish a grid voltage prediction model, by acquiring the power data of the current grid, the meteorological data of the filament use area, and the time data to form a prediction data set as the input of the model to predict the voltage value of the future grid; A voltage pre-regulation module, which is used to calculate the predicted voltage difference between the predicted voltage value and the current grid voltage, and calculate the future safety regulation coefficient according to the voltage safety change rate of the filament, determine whether the future voltage regulation rate will cause filament loss, and reduce the voltage regulation rate by adjusting the voltage in advance; The voltage modulation module is used to modulate the PWM wave of the boosted grid voltage. According to the real-time grid voltage after boosting, the rated voltage value of the filament, the voltage change ratio at both ends of the filament and the voltage difference that needs to be adjusted in advance, the duty cycle of the PWM wave is adjusted by calculating the duty cycle and the adjustment rate, so that the voltage value of the boosted grid voltage is stabilized at the rated voltage of the filament.

2. The intelligent filament voltage stabilization control system according to claim 1, characterized in that: The calculation steps for calculating the normal distribution range of the grid voltage are: Calculate the average voltage and standard deviation of the historical grid voltage. The specific calculation formula is: in, is the average voltage of the historical power grid voltage, is the standard deviation of the historical grid voltage, For the collection of The historical grid voltage value, is the number of times the historical grid voltage values ​​are collected, is a positive integer; The normal distribution model of the grid voltage is established, and the calculation formula is: in, is the voltage value in the historical grid voltage The probability density function of is the voltage value that appears in the historical power grid voltage; According to the normal distribution model of the grid voltage, the normal distribution of the historical grid voltage is analyzed, and the voltage distribution probability that needs to be boosted is determined. , calculate the voltage threshold that needs to be boosted: in, is the voltage threshold that needs to be boosted, is the voltage distribution probability that needs to be boosted.

3. The intelligent filament voltage stabilization control system according to claim 2, characterized in that: The steps of boosting the grid voltage by calculating the voltage boost difference according to the rated voltage of the filament are as follows: Calculate the voltage boost difference that needs to be boosted, and calculate the boosted voltage value based on the real-time voltage of the power grid. The specific calculation formula is: in, is the voltage step-up difference, is the rated voltage of the filament; in, is the voltage value after boosting, is the real-time voltage.

4. The intelligent filament voltage stabilization control system according to claim 1, characterized in that: The filament material parameters include the initial surface area of ​​the filament, the filament temperature, the activation energy of evaporation, the initial resistance value, the initial length, the initial cross-sectional area, the maximum thermal stress value, the initial mass, the specific heat capacity and the elastic modulus.

5. The intelligent filament voltage stabilization control system according to claim 4, characterized in that: The calculation formula of the thermal erosion value of the filament is: in, is the thermal erosion value of the filament, is the initial surface area of ​​the filament, is the filament temperature, is the empirical coefficient, , is the activation energy of evaporation of the filament, is the gas constant of the filament contact, The cumulative usage time of the filament; According to the filament thermal erosion value, the calculation formula for calculating the voltage change ratio at both ends of the filament caused by filament aging is: in, is the voltage change ratio across the filament, is the initial resistance of the filament, is the initial length of the filament, is the initial cross-sectional area of ​​the filament, is the filament voltage conversion coefficient; The calculation formula for calculating the safe change rate of the filament voltage is: in, is the safe rate of change of the filament voltage, is the maximum thermal stress value of the filament, is the initial mass of the filament, is the specific heat capacity of the filament, is the elastic modulus of the filament, is the thermal expansion coefficient of the filament.

6. The intelligent filament voltage stabilization control system according to claim 1, characterized in that: The power data includes voltage, current and frequency of the power grid; The meteorological data include temperature, humidity, and wind speed; The time data includes days, weeks, months, holidays and seasons.

7. The intelligent filament voltage stabilization control system according to claim 1, characterized in that: The calculation formula of the predicted voltage difference is: in, To predict the voltage difference, is the voltage value of the future power grid, is the real-time voltage, is the safe rate of change of the filament voltage, The predicted time difference between the current and future grid voltage values, Adjustment factor for future safety; when When the voltage exceeds the safe change rate, it is judged that the voltage needs to be adjusted in advance; when When the voltage is at a safe rate, it is determined that the voltage change rate has not been exceeded and there is no need to adjust the voltage in advance. The specific calculation formula for adjusting the voltage in advance is: in, This is the voltage difference that needs to be adjusted in advance.

8. The intelligent filament voltage stabilization control system according to claim 1, characterized in that: The calculation formula for adjusting the duty cycle of the grid AC PWM wave by calculating the duty cycle and adjusting the rate is: in, is the duty cycle, is the voltage value after boosting, is the voltage change ratio across the filament, is the rated voltage of the filament, is the voltage difference that needs to be adjusted in advance. To adjust the rate, is the safe rate of change of the filament voltage.

9. An intelligent filament voltage stabilization control method, characterized in that: The filament voltage stabilization control method is executed by the filament voltage stabilization control system according to any one of claims 1 to 8, and the filament voltage stabilization control method comprises the following steps: Step 1: Obtain the historical grid voltage data of the filament usage area whose voltage is to be regulated, calculate the normal distribution range of the grid voltage, and calculate the voltage boost difference according to the rated voltage of the filament to boost the grid voltage; Step 2: Obtain the cumulative usage time of the filament and the filament material parameters, calculate the voltage change ratio at both ends of the filament caused by filament aging by calculating the filament thermal corrosion value, and calculate the safe voltage change rate of the filament according to the maximum thermal stress value of the filament; Step 3: Establish a grid voltage prediction model, obtain the current grid power data, the meteorological data of the filament use area, and the time data to form a prediction data set as the input of the model to predict the future grid voltage value; Step 4: Calculate the predicted voltage difference between the predicted voltage value and the current grid voltage, and calculate the future safety adjustment coefficient according to the voltage safety change rate of the filament, determine whether the future voltage adjustment rate will cause filament loss, and reduce the voltage adjustment rate by adjusting the voltage in advance; Step 5: Modulate the boosted grid voltage into a PWM wave. According to the real-time grid voltage after boosting, the rated voltage of the filament, the voltage change ratio at both ends of the filament and the voltage difference that needs to be adjusted in advance, the duty cycle of the PWM wave is adjusted by calculating the duty cycle and the adjustment rate, so that the voltage value of the boosted grid voltage is stabilized at the rated voltage of the filament.

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