High-efficiency variable frequency startup processing method and system for compressed air energy storage compressor system

Abstract

A method and system for efficiently variable-frequency starting processing of a compressed air energy storage compressor system, belonging to the field of information processing technology, analyzes the average starting speed of each day and its action coefficient, thereby allowing regulators to estimate and identify hidden defects in advance before the compressor exhibits obvious deviations from a reasonable working mode. Such advance notification message rules reduce the cost of stopping work due to compressor failure, improve the tendency and efficiency of protection work, thereby reducing long-term operation and maintenance costs, and can also adjust the compressor configuration or pre-set protection plan by analyzing the power suitability and working time of the compressor, which is suitable for increasing the service life of the compressor, ensuring the efficiency of the compressor, and simultaneously reducing aging caused by excessive use or inverter power mismatch. Through accurate speed calculation, regulators can better grasp and control the speed.

Description

Technical Field

[0001] The present invention belongs to the field of information processing technology, and in particular relates to a method and system for efficiently variable frequency starting processing of a compressed air energy storage compressor system. Background Art

[0002] As people pay more and more attention to the development and utilization of renewable energy, compressed air energy storage, as an efficient and sustainable energy storage method, is gradually becoming the focus of people's attention.

[0003] In the efficient variable frequency starting process of the compressed air energy storage compressor system, just as the existing technical solution with patent announcement number "CN115663858B" is used to execute the efficient variable frequency starting process of the compressed air energy storage compressor system, it includes a control device (the control device can be a PLC or an industrial computer), a frequency conversion device and a flywheel connected in sequence, and the frequency conversion device (the frequency conversion device can be a frequency converter) is also connected to the compressor via an electric motor. A speed transmitter connected to the control device is also provided on the compressor. The speed transmitter is used to sample the speed value of the compressor and transmit it to the control device. The control device is used to control the motor to switch to the power grid to obtain electrical energy if the compressor executes a start-up command; if the compressor executes a shutdown command, the control device controls the frequency conversion device through the motor according to the transmitted speed value of the compressor to make the compressor speed reach a pre-defined critical value.

[0004] Currently, the availability and efficiency of compressors are the main performance indicators to ensure the smooth operation of compressors and reduce operating costs. Therefore, efficient control and supervision of the working conditions of such compressors is the key to improving the efficiency of compressors and reducing operating costs.

[0005] The current control method of compressors often relies on regular on-site detection and manual registration of speed values. This method is not only time-consuming and labor-intensive, but also often leads to manual errors and is not conducive to the accuracy and timeliness of speed values. In addition, the current method cannot achieve real-time control and analysis of compressor conditions, which restricts the regulator's early prevention and efficient response to compressor failures.

[0006] Specifically, the defects of the current compressor control method are: in many compressor detection systems, they often only rely on a single real-time or periodic speed detection, without considering the relationship between the compressor working condition and the speed, which often results in a response only when the speed exceeds the reasonable range, and cannot predict and prevent hidden speed increases in advance. In addition, the current compressor control system often does not fully consider the effect of the input power and output power of the frequency converter on the speed change. Under some conditions, power changes are often the main factor causing the speed jump, but it is often ignored during numerical analysis. Finally, the current compressor control system often does not consider the effect of the total working time of the compressor on its performance. With the increase of working time, the aging of the compressor often causes the speed to increase, but such gradual changes are often ignored under normal control. Summary of the invention

[0007] In order to solve the defects in the prior art, the present invention proposes a high-efficiency variable frequency starting processing system and method for a compressed air energy storage compressor system, which analyzes the average starting speed of each day and its action coefficient, thereby allowing the regulator to estimate and identify hidden defects in advance before the compressor shows obvious deviation from the reasonable working mode. Such early notification message rules reduce the expenses caused by the suspension of work due to compressor failure, improve the tendency and efficiency of protection work, thereby reducing long-term operation and maintenance expenses. By real-time control of the compressor speed status and the power suitability of the inverter, it can not only ensure that the compressor works under the optimal condition, but also adjust the compressor configuration or the pre-set protection plan by analyzing the power suitability and working time of the compressor, which is suitable for increasing the service life of the compressor, ensuring the efficiency of the compressor, and simultaneously reducing the aging caused by excessive use or inverter power mismatch. Through accurate speed calculation, the regulator can better grasp and control the speed.

[0008] The present invention uses the following technical solutions.

[0009] A method for efficiently starting a compressed air energy storage compressor system with variable frequency operation, comprising:

[0010] The power transmitter 1 and the power transmitter 2 respectively sample the input power and the output power of the frequency conversion device and transmit them to the control device. The speed transmitter samples the speed value of the compressor and transmits it to the control device. If the compressor executes the start command, the control device controls the motor to switch to the power grid to obtain power; if the compressor executes the stop command, the control device controls the frequency conversion device through the motor according to the transmitted speed value of the compressor to make the compressor speed reach a pre-defined critical value;

[0011] The high-efficiency variable frequency starting processing method of the compressed air energy storage compressor system also includes:

[0012] Step 1: Obtain the past speed value, past power value, and past working value of each compressor to be analyzed;

[0013] Step 2: Perform a comprehensive analysis on the past speed values, past power values, and past working values ​​of each compressor to be analyzed, and obtain the average starting speed, power effect coefficient, and time effect coefficient of each compressor to be analyzed on each day in the past;

[0014] Step 3: Perform a comprehensive analysis on the average starting speed of each compressor to be analyzed on each day in the past, the power effect coefficient, and the time effect coefficient, and obtain the speed estimation value of each compressor to be analyzed;

[0015] Step 4: Perform an abnormal analysis on the past speed values ​​of each compressor to be analyzed based on the speed estimation value. If there is an abnormality, the compressor to be analyzed is analyzed to be a compressor that does not meet the pre-set level, and it is registered as a speed abnormality, and a speed abnormality advance notification message is transmitted to inform the corresponding controller.

[0016] Further, in step 1, the past speed values ​​are the past speed values ​​of the compressor at various time intervals on previous days, the past power values ​​include the past output power values ​​of the frequency conversion device, the past input power values ​​of the frequency conversion device and the rated capacity of the frequency conversion device, and the past working values ​​are the total number of working days corresponding to the compressor on previous days.

[0017] Furthermore, in step 3, the method for obtaining the speed estimation value of each compressor to be analyzed includes: obtaining the average starting speed of each compressor to be analyzed on previous days, the power action coefficient, and the time action coefficient, and performing the overall analysis to obtain the average configuration speed of each compressor to be analyzed on previous days; using the set average calculation method to perform average analysis on the average configuration speed of each compressor to be analyzed on previous days to obtain the speed estimation value of each compressor to be analyzed.

[0018] Furthermore, in step 3, the equation for calculating the estimated speed value of each compressor to be analyzed is: ; Here, The first The estimated value of the speed of each compressor, The first Compressor's past The average daily configuration speed, The first Compressor's past Additional parameters of the daily average configuration speed, The first Compressor's past The average starting speed of the day, The first Compressor's past The power contribution coefficient of the day, The first Compressor's past The daily time effect coefficient, The first Compressor's past The average daily configuration speed, The first Compressor's past Additional parameters of the daily average configuration speed, , , is the number of compressors to parse, , is the number of past days obtained.

[0019] Furthermore, in step 3, , The method to obtain is: Compressor's past , The average configuration speed of the day is added together, and the amount obtained by the addition is used as the configuration speed addition amount. Compressor's past , The average daily configuration speed is divided by the sum of the configuration speeds to obtain the corresponding two quotients, and the two quotients are used as the corresponding additional parameters. , .

[0020] Further, in step 2, the method for obtaining the average starting speed of each compressor to be analyzed on each past day includes: obtaining the past speed values ​​of each time interval of each compressor to be analyzed on each past day, and performing pre-processing; performing mean analysis on the past speed values ​​of each time interval of each compressor to be analyzed on each past day after the pre-processing, and obtaining the average starting speed of each compressor to be analyzed on each past day.

[0021] Further, in step 2, the equation for calculating the average of the starting speeds of each compressor to be analyzed on each previous day is: ; Here, The first Compressor's past The average starting speed of the day, It is to be analyzed Compressor's past Day The past speed value of the time interval, , is the number of compressors to parse, , is the number of past days obtained, , is the total amount of time.

[0022] Further, in step 2, the method for obtaining the power action coefficient of each compressor to be analyzed on previous days includes: obtaining the rated capacity of the frequency conversion equipment of each compressor to be analyzed, the output power value of each time interval of each previous day, and the input power value of the frequency conversion equipment of each previous day at each time interval of the frequency converter power; performing subtraction mean analysis on the rated capacity of the frequency conversion equipment of each compressor to be analyzed and the output power value of each previous day at each time interval, respectively, to obtain the power subtraction mean one of each compressor to be analyzed on previous days; performing subtraction mean analysis on the rated capacity of the frequency conversion equipment of each compressor to be analyzed and the input power value of the frequency conversion equipment of each previous day at each time interval of the frequency converter power, respectively, to obtain the power subtraction mean two of each compressor to be analyzed on previous days; performing overall analysis on the power subtraction mean one and the power subtraction mean two of each compressor to be analyzed on previous days, respectively, to obtain the power action coefficient of each compressor to be analyzed on previous days.

[0023] Furthermore, in step 2, the equation for calculating the power action coefficient of each compressor to be analyzed on each previous day is: ; Here, The first Compressor's past The power contribution coefficient of the day, The first Compressor's past The average daily power reduction is one. The first Compressor's past The ratio parameter of the daily power reduction average is one, The same as the first The inverter equipment connected to the compressor Day The output power value of the time interval is The first The rated capacity of the inverter connected to each compressor, The first Compressor's past The average daily power reduction is two, The first Compressor's past The ratio parameter of the daily power subtraction mean value is The same as the first The inverter equipment connected to the compressor Day The input power value of the time interval is The first Compressor's past The daily adjustment parameters, , is the number of compressors to parse, , is the number of past days obtained, , is the total time interval.

[0024] Furthermore, in step 2, and The method to obtain is: Compressor's past The modulus of the average power subtraction amount of the day 1 and the modulus of the average power subtraction amount 2 are added, and the amount obtained by the addition is regarded as the power difference addition amount. Compressor's past The modulus of the average power subtraction amount 1 and the modulus of the average power subtraction amount 2 of the day are divided by the power difference addition amount to obtain two corresponding quotient values, and the two quotient values ​​are respectively regarded as corresponding ratio parameters and .

[0025] Further, in step 2, the method for obtaining the time effect coefficient of each compressor to be analyzed on each past day includes: obtaining the total number of working days corresponding to each compressor to be analyzed on each past day, and performing overall analysis to obtain the time effect coefficient of each compressor to be analyzed on each past day, and the calculation equation is: ; Here, The first Compressor's past The daily time effect coefficient, It is the first information to be parsed stored in the pre-set information table. The maximum speed variation parameter of each compressor, It is the first information to be parsed stored in the pre-set information table. The variable rate parameter of each compressor, is the Euler number, To parse Compressor's past The total number of working days corresponding to the day, It is the time adjustment parameter, , is the number of compressors to parse, , is the number of past days obtained.

[0026] Furthermore, in step 4, the past speed values ​​of each compressor at each time interval of each past day are compared and analyzed with the corresponding speed estimated values ​​of the compressor, and the total time intervals in which the past speed values ​​of each compressor are greater than the speed estimated values ​​are obtained; the total time intervals in which the past speed values ​​of each compressor are greater than the speed estimated values ​​are compared and analyzed with the set maximum time interval total, and the compressors corresponding to the time interval totals greater than the set maximum time interval totals are registered as having abnormal speeds, and simultaneously corresponding registrations are performed for each time interval in which the past speed values ​​of the compressor are greater than the speed estimated values, and an advance notification message of the speed abnormality is transmitted to inform the corresponding controllers.

[0027] A high-efficiency variable frequency starting processing system for a compressed air energy storage compressor system, comprising:

[0028] The control device is connected to the frequency conversion device, and the frequency conversion device is also connected to the compressor via the motor. A speed transmitter connected to the control device is also provided on the compressor. A power transmitter 1 and a power transmitter 2 are provided on the frequency conversion device. The power transmitter 1 and the power transmitter 2 are respectively used to sample the input power of the frequency conversion device and the output power of the frequency conversion device and transmit them to the control device. The speed transmitter is used to sample the speed value of the compressor and transmit it to the control device. If the compressor executes a start command, the control device controls the motor to switch to the power grid to obtain electric energy; if the compressor executes a stop command, the control device controls the frequency conversion device via the motor according to the transmitted speed value of the compressor to make the compressor speed reach a predefined critical value;

[0029] The modules executed on the control device include:

[0030] An acquisition module, which is used to obtain the past speed value, past power value, and past working value of each compressor to be analyzed;

[0031] An analysis module, which is used to perform overall analysis on the past speed values, past power values, and past working values ​​of each compressor to be analyzed, and obtain the average starting speed, power action coefficient, and time action coefficient of each compressor to be analyzed on each day in the past;

[0032] A calculation module, which is used to perform a comprehensive analysis on the average starting speed of each compressor to be analyzed on each day in the past, the power effect coefficient, and the time effect coefficient, and obtain the speed estimation value of each compressor to be analyzed;

[0033] The registration module is used to perform anomaly analysis on the past speed values ​​of each compressor to be analyzed based on the speed estimation value. If there is an anomaly, the compressor to be analyzed is analyzed to be a compressor that does not meet the pre-set level, and it is registered as a speed abnormality, and a speed abnormality advance notification message is transmitted to inform the corresponding controller.

[0034] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0035] By analyzing the average starting speed of each day and its action coefficient, it is possible to allow regulators to estimate and identify hidden defects in advance before the compressor shows obvious deviations from the reasonable working mode. This early notification rule reduces the cost of stopping work due to compressor failure and improves the efficiency and effectiveness of maintenance work, thereby reducing long-term operation and maintenance costs. By real-time monitoring of the compressor speed status and the power suitability of the inverter, it can not only ensure that the compressor works under the optimal condition, but also adjust the compressor configuration or pre-set protection plan by analyzing the power suitability and working time of the compressor, which is conducive to increasing the service life of the compressor, ensuring the efficiency of the compressor, and simultaneously reducing aging caused by excessive use or inverter power mismatch. Through accurate speed calculation, regulators can better grasp and control the speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of the high-efficiency variable frequency startup processing method of the compressed air energy storage compressor system described in the present invention;

[0037] Figure 2 It is a partial structural diagram of the high-efficiency variable frequency starting processing system of the compressed air energy storage compressor system described in the present invention. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will be combined with the drawings in the embodiments of the present invention to clearly and completely express the technical solution of the present invention. The embodiments expressed in this application are only partial embodiments of the present invention, not all embodiments. According to the spirit of the present invention, other embodiments obtained by technicians in this field without creative work are all within the protection scope of the present invention.

[0039] like Figure 1 As shown, a high-efficiency variable frequency startup processing method for a compressed air energy storage compressor system according to the present invention comprises:

[0040] Power transmitter 1 and power transmitter 2 respectively sample the input power and output power of the frequency conversion device and transmit them to the control device. The speed transmitter samples the speed value of the compressor and transmits it to the control device. If the compressor executes the start command, the control device controls the motor to switch to the power grid to obtain electricity; if the compressor executes the stop command, the control device controls the frequency conversion device through the motor according to the transmitted speed value of the compressor to make the compressor speed reach a pre-defined critical value; the control device also stores the transmitted speed value of the compressor, the input power of the frequency conversion device and the output power of the frequency conversion device.

[0041] The high-efficiency variable frequency starting processing method of the compressed air energy storage compressor system also includes:

[0042] First, the detailed past information of each compressor stored in the control device in advance is collected, such information includes the speed value of each day and each time interval, the output power value of the frequency conversion device and the input power value of the frequency conversion device, as well as the total number of working days of the compressor, and pre-processing is performed on these values ​​to ensure the accuracy and completeness of the values, creating conditions for subsequent analysis, and performing overall analysis on the values ​​after pre-processing to calculate the average starting speed of each day and the effect coefficient formed by the power and working time. Using this effect coefficient, combined with the average starting speed of the compressor, the average configuration speed of each day and the speed estimation value of the compressor are jointly calculated, and the speed estimation value obtained by calculation is used to determine whether the compressor has a speed abnormality. If the speed value of the compressor in a time interval is higher than the estimated value, then the time interval is registered as abnormal, and the abnormal situation is registered and notified, which includes the control device transmitting a speed abnormality advance notification message to the corresponding smart phone of the controller in the 4G network or WLAN via the 4G module or WIFI module connected to it, so as to take corresponding protection or adjustment measures accordingly. That is to say, the high-efficiency variable frequency startup processing method of the compressed air energy storage compressor system also includes:

[0043] Step 1: Obtain the past speed value, past power value, and past working value of each compressor to be analyzed;

[0044] Step 2: Perform a comprehensive analysis on the past speed values, past power values, and past working values ​​of each compressor to be analyzed, and obtain the average starting speed, power effect coefficient, and time effect coefficient of each compressor to be analyzed on each day in the past;

[0045] Step 3: Perform a comprehensive analysis on the average starting speed of each compressor to be analyzed on each day in the past, the power effect coefficient, and the time effect coefficient, and obtain the speed estimation value of each compressor to be analyzed;

[0046] Step 4: Perform an abnormality analysis on the past speed values ​​of each compressor to be analyzed based on the speed estimation value. If there is an abnormality, the compressor to be analyzed is analyzed as a compressor that does not meet the pre-set level, and it is registered as a speed abnormality, and an advance notification message of the speed abnormality is transmitted to the controller's smartphone to inform the corresponding controller.

[0047] In a preferred but non-restrictive embodiment of the present invention, in step 1, the past speed values ​​are the past speed values ​​of the compressor at various time intervals on previous days, the past power values ​​include the output power values ​​of the past frequency conversion equipment, the input power values ​​of the past frequency conversion equipment and the rated capacity of the frequency conversion equipment, and the past working values ​​are the total number of working days corresponding to the compressor on previous days.

[0048] The output power value of the frequency conversion device in the past is the output power value of the frequency conversion device at each time interval of each previous day. The output power value is obtained by sampling and collecting at multiple moments in the time interval, and then performing mean analysis (that is, calculating the average of the output power values ​​sampled at each moment of the time interval). The input power value of the frequency conversion device in the past is the input power value of the frequency conversion device at each time interval of each previous day. The input power value of the frequency conversion device is obtained by sampling and collecting at multiple moments in the time interval, and then performing mean analysis (that is, calculating the average of the input power values ​​sampled at each moment of the time interval).

[0049] Here, the past speed values ​​are obtained through the speed transmitter, the rated capacity of the frequency conversion equipment is obtained through the frequency conversion equipment technical manual, the output power value of the frequency conversion equipment and the input power value of the frequency conversion equipment are obtained through the power transmitter, and the total number of working days is obtained through the historical records on the control device.

[0050] In a preferred but non-limiting embodiment of the present invention, in step 3, the method for obtaining the speed estimated value of each compressor to be analyzed includes: obtaining the average starting speed, power action coefficient, and time action coefficient of each compressor to be analyzed on previous days, and performing a full analysis to obtain the average configuration speed of each compressor to be analyzed on previous days; using a set average calculation algorithm to perform average analysis on the average configuration speed of each compressor to be analyzed on previous days, and obtaining the speed estimated value of each compressor to be analyzed.

[0051] In a preferred but non-limiting embodiment of the present invention, in step 3, the equation for calculating the estimated value of the speed of each compressor to be analyzed is: ; Here, The first The estimated value of the speed of each compressor, The first Compressor's past The average daily configuration speed, The first Compressor's past Additional parameters of the daily average configuration speed, The first Compressor's past The average starting speed of the day, The first Compressor's past The power contribution coefficient of the day, The first Compressor's past The daily time effect coefficient, The first Compressor's past The average daily configuration speed, The first Compressor's past Additional parameters of the daily average configuration speed, , , is the number of compressors to parse, , is the number of past days obtained.

[0052] In a preferred but non-limiting embodiment of the present invention, in step 3, , The method to obtain is: Compressor's past , The average configuration speed of the day is added together, and the amount obtained by the addition is used as the configuration speed addition amount. Compressor's past , The average daily configuration speed is divided by the sum of the configuration speeds to obtain the corresponding two quotients, and the two quotients are used as the corresponding additional parameters. , .

[0053] The present invention uses past information and action coefficients to perform overall analysis to more accurately calculate the working conditions of each compressor. By combining the average starting speed of each past day, the power action coefficient and the time action coefficient, this method can involve various parameters, such as the power condition of the inverter and the effect of compressor aging on the speed value. This method not only provides a comprehensive working condition perspective, but also is suitable for identifying compressors that often deviate from the reasonable speed mode due to external conditions or the weakening of the compressor's internal functions. By combining the set average operation algorithm, this method can flexibly refresh the speed calculation value to reflect the latest changes and trends. This method is particularly suitable for handling queue values ​​arranged in chronological order according to the sampling time points, and is suitable for smoothing short-term fluctuations in past information, thereby providing a more stable and usable speed calculation. Flexible calculation allows the method to efficiently adapt to new operating conditions and inverter power changes, thereby improving detection. The suitability and response function of the measurement method. This method calculates the average speed and performs speed estimation based on it to help regulators or controllers identify high-speed compressors or time intervals, thereby improving speed operation. This method can significantly improve the efficiency of speed regulation and reduce speed loss and costs by predicting and adjusting the speed plan in advance. At the same time, accurate speed estimation supports the setting of more efficient speed reduction methods and protection plans to further reduce operating costs. Using the set speed estimation value as the level, this method can identify abnormal operating conditions that exceed the normal consumption mode. This type of control and early notification mechanism is an important factor in detecting hidden compressor failures or inefficiencies in advance, so timely maintenance or improvement plans can be used to prevent defects from worsening. Timely failure detection and response is not only conducive to avoiding expensive maintenance and compressor replacement costs, but also to ensure the continuity of compressor work and operation.

[0054] In a preferred but non-limiting embodiment of the present invention, in step 2, the method for obtaining the average starting speed of each compressor to be analyzed on each past day includes: obtaining the past speed values ​​of each time interval of each compressor to be analyzed on each past day, and performing pre-processing; performing mean analysis on the past speed values ​​of each time interval of each compressor to be analyzed on each past day after the pre-processing, and obtaining the average starting speed of each compressor to be analyzed on each past day.

[0055] In a preferred but non-limiting embodiment of the present invention, in step 2, the equation for calculating the average of the starting speeds of each compressor to be analyzed on each previous day is: ; Here, The first Compressor's past The average starting speed of the day, It is to be analyzed Compressor's past Day The past speed value of the time interval, , is the number of compressors to parse, , is the number of past days obtained, , is the total amount of time intervals. The size of the time interval can be set in advance, such as one hour is one time interval.

[0056] The present invention accurately calculates the average of the speed values ​​at each time interval of each day, and the obtained initial speed average can more accurately reflect the specific working condition of the compressor. This method improves the accuracy and availability of values ​​by removing the effects of random fluctuations and abnormal values. More accurate values ​​support more effective program settings, and assist compressor regulators to grasp the speed level and working condition of the compressor. Through standardized registration and analysis of past speed values, the changing trend of the compressor speed value can be identified. For example, if the speed average of a compressor continues to increase, this often means that the efficiency of the compressor is still weakening or there is a hidden failure. Early identification of the trend can enable early intervention to prevent higher maintenance costs or more critical situations. In the event of a compressor failure, the calculated average starting speed of each day in the past can be used to improve the speed control plan. For example, by comparing different compressors or speed averages, the supervisor can identify the high-speed compressor, and use the set plan to improve its speed, or adjust the compressor operation method to reduce the speed. This is not only conducive to reducing speed overhead, but also improves the speed operation efficiency of the entire compressor. The calculation of the speed average sets a speed level for the compressor, which can be used as a level for estimating the effectiveness of the compressor improvement or improvement plan. At the same time, continuous control and comparison with the level value can immediately detect deviations from the normal range, allowing the controller to respond immediately to ensure that the compressor continues to operate in the best condition.

[0057] In a preferred but non-limiting embodiment of the present invention, in step 2, the method for obtaining the power action coefficient of each compressor to be analyzed on each previous day includes: obtaining the rated capacity of the frequency conversion equipment of each compressor to be analyzed, the output power value of each time interval of each previous day, and the input power value of the frequency conversion equipment of each previous day at each time interval of the frequency converter power; performing subtraction mean analysis on the rated capacity of the frequency conversion equipment of each compressor to be analyzed and the output power value of each time interval of each previous day, respectively, to obtain the power action coefficient of each compressor to be analyzed. The average power subtraction amount of each compressor in the past days is obtained; the rated capacity of the frequency converter of each compressor to be analyzed and the input power value of the frequency converter at each time interval in the past days of the frequency converter power are respectively subjected to the subtraction mean analysis to obtain the average power subtraction amount of each compressor in the past days; the average power subtraction amount of each compressor in the past days and the average power subtraction amount of each compressor in the past days are respectively subjected to overall analysis to obtain the power efficiency coefficient of each compressor in the past days.

[0058] In a preferred but non-limiting embodiment of the present invention, in step 2, the equation for calculating the power action coefficient of each compressor to be analyzed on each previous day is: ; Here, The first Compressor's past The power contribution coefficient of the day, The first Compressor's past The average daily power reduction is one. The first Compressor's past The ratio parameter of the daily power reduction average is one, The same as the first The inverter equipment connected to the compressor Day The output power value of the time interval is The first The rated capacity of the inverter connected to each compressor, The first Compressor's past The average daily power reduction is two, The first Compressor's past The ratio parameter of the daily power subtraction mean value is: The same as the first The inverter equipment connected to the compressor Day The input power value of the time interval is The first Compressor's past The daily adjustment parameter, and its value is adjusted flexibly according to specific needs, , is the number of compressors to parse, , is the number of past days obtained, , is the total time interval.

[0059] In a preferred but non-limiting embodiment of the present invention, in step 2, and The method to obtain is: Compressor's past The modulus of the average power subtraction amount of the day 1 and the modulus of the average power subtraction amount 2 are added, and the amount obtained by the addition is regarded as the power difference addition amount. Compressor's past The modulus of the average power subtraction amount 1 and the modulus of the average power subtraction amount 2 of the day are divided by the power difference addition amount to obtain two corresponding quotient values, and the two quotient values ​​are respectively regarded as corresponding ratio parameters and .

[0060] The present invention analyzes the difference between the output power and rated capacity of the inverter device, as well as the difference between the output power value of the inverter device and the input power of the inverter device, and performs overall analysis in combination with the adjustable adjustment parameters of the motor, so as to more accurately grasp the working efficiency of the compressor under different inverter power conditions. The calculation of the power efficiency coefficient allows the regulator to adjust the setting of the compressor or the inverter power to approach the optimal working condition, thereby reducing speed loss and improving the overall working efficiency. Power is the main factor that determines the function and service life of the compressor. By detecting the power of the inverter and comparing it with the rated condition, this method can help to estimate hidden compressor failures in advance. For example, if the actual working power of a compressor is continuously greater than or less than the rated capacity, it often means that the compressor needs protection or has hidden failure risks. Such early detection can reduce sudden failures and related maintenance costs. Early protection can avoid expensive emergency maintenance. Through standardized analysis of the inverter device The power value and the calculation of the power effect coefficient can provide effective numerical support for compressor supervision. This value can be used to improve the speed supervision plan, improve the compressor configuration, or adjust the operation time to adapt to power changes, and finally help the supervisor to make a more feasible operation plan. Standardized power control and effect coefficient analysis provide an effective technology to track the long-term performance of the compressor. It is not only suitable for real-time adjustment of operation to deal with short-term power fluctuations, but also can identify long-term trends and patterns, providing a basis for future compressor improvements or replacements. Long-term numerical summary can also help analyze the durability of the compressor and the power suitability of the inverter, and provide key factors for constructing a more efficient and more usable compressor. The analysis of the output power of the inverter device and the input power of the inverter device are combined to globally estimate the effect of the inverter power status on the compressor performance. This kind of analysis allows the compressor operation to better adapt to the inverter power changes and ensure that the compressor can have good performance even under adverse conditions.

[0061] In a preferred but non-limiting embodiment of the present invention, in step 2, the method for obtaining the time effect coefficient of each compressor to be analyzed on each past day includes: obtaining the total number of working days corresponding to each compressor to be analyzed on each past day, and performing overall analysis to obtain the time effect coefficient of each compressor to be analyzed on each past day, and the calculation equation is: ; Here, The first Compressor's past The daily time effect coefficient, It is the first information to be parsed stored in the pre-set information table. The maximum speed variation parameter of a compressor, which describes the maximum rate at which the speed will increase from the initial condition of the compressor to the end of its service life. It is the first information to be parsed stored in the pre-set information table. The speed parameter of a compressor controls the speed at which the speed reaches the maximum value, that is, the increase rate. is the Euler number, To parse Compressor's past The total number of working days corresponding to the day, It is the time adjustment parameter, , is the number of compressors to parse, , is the number of past days obtained. Compressor's past The total number of working days corresponding to the day is the Compressor's past The total number of working days starting from the date. The value can be determined according to specific needs.

[0062] The following is an example of a maximum speed variation parameter:

[0063] For example, facing a compressor, the speed values ​​obtained in the past 7 days are: 640 rpm, 636 rpm, 644 rpm, 638 rpm, 634 rpm, 632 rpm, 636 rpm;

[0064] Based on this calculation, the average speed is used to obtain the basic speed:

[0065] ;

[0066] According to the compressor parameters given in the technical manual and the approximate compressor speed values ​​in the past, the compressor speed is estimated to increase by about ;

[0067] Based on this, the later speed is estimated: ;

[0068] Then the maximum speed variation parameter of the compressor is:

[0069] , that is .

[0070] The following is an example of calculation for a rate-of-change parameter:

[0071] For example, if a compressor is estimated to have a service life of ten years and reaches its maximum speed in five years, ;

[0072] Then the variable rate parameter of the compressor is: .

[0073] The present invention estimates in advance the total number of working days of the compressor and the corresponding speed changes. This method can accurately estimate the aging of the compressor function in advance. By using the maximum speed change parameter and the change rate parameter, the supervisor can estimate in advance the future speed change trend of the compressor, so as to construct a more efficient protection plan or estimate in advance the replacement time of the compressor. This kind of advance estimation is not only conducive to reducing sudden compressor failures, but also can improve the compressor configuration and cost investment. By analyzing the working time of the compressor and the estimated speed change in advance, the supervisor can more accurately determine when to perform protection or replacement to maintain the efficient operation of the compressor. For example, if a compressor is close to its estimated speed, The speed increases critical amount, and it is often necessary to perform maintenance or plan replacement in advance to avoid insufficient efficiency and hidden operating hazards. This method can significantly reduce the operation interruptions and related costs caused by compressor aging. The calculation time effect coefficient allows the regulator to control the speed changes of the compressor and apply the plan before the compressor efficiency decreases, such as adjusting the compressor workload or refreshing the compressor configuration to improve the speed operation. This is not only conducive to reducing speed costs, but also improves the speed efficiency of the entire compressor. By real-time detection of the compressor's operating time and speed changes, this method can timely identify conditions that often lead to compressor failure. This type of control ensures the availability and stability of the compressor operation.

[0074] In a preferred but non-restrictive embodiment of the present invention, in step 4, the past speed values ​​of each compressor at each time interval of each past day are compared and analyzed with the corresponding speed estimated values ​​of the compressor, and the total time intervals in which the past speed values ​​of each compressor are greater than the speed estimated values ​​are obtained; the total time intervals in which the past speed values ​​of each compressor are greater than the speed estimated values ​​are compared and analyzed with the set maximum time interval total, and the compressors corresponding to the time interval totals greater than the set maximum time interval totals are registered as having abnormal speeds, and corresponding registrations are synchronously performed for each time interval in which the past speed values ​​of the compressor are greater than the speed estimated values, and an advance notification message of the speed abnormality is transmitted to the controller's smartphone to inform the corresponding controller.

[0075] The method of the present invention allows the supervisor to detect abnormal operating conditions of the compressor in real time, such as an abnormal increase in the speed value, which is often an early sign of compressor failure, configuration error or protection requirements. By identifying such anomalies in real time, the supervisor can intervene before the defect causes more serious compressor damage or is not suitable for the efficient operation of the compressor. Such early detection reduces the need for urgent maintenance, reduces protection costs, and ensures the continuous operation of the compressor. By analyzing the speed value of the compressor and comparing it with the pre-defined estimated value, the speed can be efficiently controlled and supervised. In the face of a compressor that continuously exhibits high speed, the supervisor can involve speed improvement plans, such as adjusting Saving operating time, replacing more efficient compressors or reconfiguring the parameters of the compressor is not only conducive to reducing speed overhead, but also makes the protection plan more accurate and efficient. For example, based on the analysis of past speed values, the supervisor can first deal with the compressors that often have abnormal speeds, thereby improving the efficiency of protection work and the availability of the compressor. At the same time, through standardized analysis, the supervisor can better grasp the working status and performance trends of the compressor, and provide corresponding support for future compressor investment and improvement. The notification of abnormal speed actively ensures that the abnormal situation can be efficiently transmitted to the supervisor, greatly improving the response speed of handling the abnormality.

[0076] like Figure 2 As shown, a high-efficiency variable frequency starting processing system for a compressed air energy storage compressor system according to the present invention comprises:

[0077] The control device (the control device may be a PLC or an industrial computer) is connected to the frequency conversion device, and the frequency conversion device (the frequency conversion device may be a frequency converter) is also connected to the compressor via an electric motor. A speed transmitter connected to the control device is also provided on the compressor, and a power transmitter 1 and a power transmitter 2 are provided on the frequency conversion device. The power transmitter 1 and the power transmitter 2 are respectively used to sample the input power of the frequency conversion device and the output power of the frequency conversion device and transmit them to the control device. The speed transmitter is used to sample the speed value of the compressor and transmit it to the control device. The control device is used to control the motor to switch to the power grid to obtain electric energy if the compressor executes a start command; if the compressor executes a stop command, the control device controls the frequency conversion device via the electric motor according to the transmitted speed value of the compressor to make the compressor speed reach a predefined critical value;

[0078] The modules executed on the control device include:

[0079] An acquisition module, which is used to obtain the past speed value, past power value, and past working value of each compressor to be analyzed;

[0080] An analysis module for performing overall analysis on the past rotational speed values, past power values, and past working values of each compressor to be analyzed, and obtaining the average starting rotational speed, power effect coefficient, and time-using effect coefficient of each day in the past for each compressor to be analyzed;

[0081] A calculation module for performing overall analysis on the average starting rotational speed, power effect coefficient, and time-using effect coefficient of each day in the past for each compressor to be analyzed, and obtaining the rotational speed calculation value of each compressor to be analyzed;

[0082] A registration module for performing abnormal analysis on the past rotational speed values of each compressor to be analyzed according to the rotational speed calculation value. If there is an abnormality, it analyzes that the compressor is a compressor to be analyzed that does not meet the preset standard, registers it as a rotational speed abnormality, and sends a rotational speed abnormality early warning message to inform the corresponding controller.

[0083] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0084] By analyzing the average starting rotational speed of each day and its effect coefficient, it allows the supervisor to estimate and identify hidden defects in advance before the compressor shows an obvious deviation from the reasonable working mode. Such an early warning message rule reduces the cost caused by the suspension of work due to compressor failure, improves the tendency and efficiency of preventive work, thereby reducing the long-term operation and maintenance cost. By immediately controlling the rotational speed status of the compressor and the suitability of the frequency converter power, it can not only ensure that the compressor works in the optimal state, but also adjust the compressor configuration or the preset preventive plan by analyzing the power suitability and working time of the compressor, which is conducive to increasing the service life of the compressor, ensuring the efficiency of the compressor, and simultaneously reducing the aging caused by overuse or inappropriate frequency converter power. Through accurate rotational speed calculation, it enables the supervisor to better grasp and control the rotational speed.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the relevant art should understand that modifications or equivalent replacements can still be made to the specific implementation manners of the present invention. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A method for efficiently starting a compressed air energy storage compressor system with variable frequency, characterized in that: include: The power transmitter 1 and the power transmitter 2 respectively sample the input power and the output power of the frequency conversion device and transmit them to the control device. The speed transmitter samples the speed value of the compressor and transmits it to the control device. If the compressor executes the start command, the control device controls the motor to switch to the power grid to obtain power; if the compressor executes the stop command, the control device controls the frequency conversion device through the motor according to the transmitted speed value of the compressor to make the compressor speed reach a pre-defined critical value; The high-efficiency variable frequency starting processing method of the compressed air energy storage compressor system also includes: Step 1: Obtain the past speed value, past power value, and past working value of each compressor to be analyzed; Step 2: Perform a comprehensive analysis on the past speed values, past power values, and past working values ​​of each compressor to be analyzed, and obtain the average starting speed, power effect coefficient, and time effect coefficient of each compressor to be analyzed on each day in the past; Step 3: Perform a comprehensive analysis on the average starting speed of each compressor to be analyzed on each day in the past, the power effect coefficient, and the time effect coefficient, and obtain the speed estimation value of each compressor to be analyzed; Step 4: Perform abnormal analysis on the past speed values ​​of each compressor to be analyzed based on the speed estimation value. If there is an abnormality, the compressor to be analyzed is analyzed to be a compressor that does not meet the pre-set level, and it is registered as a speed abnormality, and a speed abnormal advance notification message is transmitted to inform the corresponding controller; In step 1, the past speed values ​​are the past speed values ​​of the compressor at various time intervals on each past day, the past power values ​​include the past output power values ​​of the frequency conversion device, the past input power values ​​of the frequency conversion device and the rated capacity of the frequency conversion device, and the past working values ​​are the total number of working days corresponding to each past day of the compressor.

2. The method for efficiently starting a compressed air energy storage compressor system with variable frequency according to claim 1, characterized in that: In step 3, the method for obtaining the estimated speed value of each compressor to be analyzed includes: obtaining the average of the starting speed of each compressor to be analyzed on each previous day, the power action coefficient, and the time action coefficient, and performing a comprehensive analysis to obtain the average of the configured speed of each compressor to be analyzed on each previous day; using a set average calculation method to perform average analysis on the average of the configured speed of each compressor to be analyzed on each previous day, and obtaining the estimated speed value of each compressor to be analyzed; In step 3, the equation for calculating the estimated value of the rotation speed of each compressor to be analyzed is: ; Here, The first The estimated value of the speed of each compressor, The first Compressor's past The average daily configuration speed, The first Compressor's past Additional parameters of the daily average configuration speed, The first Compressor's past The average starting speed of the day, The first Compressor's past The power contribution coefficient of the day, The first Compressor's past The daily time effect coefficient, The first Compressor's past The average daily configuration speed, The first Compressor's past Additional parameters of the daily average configuration speed, , , is the number of compressors to parse, , is the number of past days obtained.

3. The high-efficiency variable frequency startup processing method for a compressed air energy storage compressor system according to claim 2 is characterized in that: In step 3, , The method to obtain is: Compressor's past , The average configuration speed of the day is added together, and the amount obtained by the addition is used as the configuration speed addition amount. Compressor's past , The average daily configuration speed is divided by the sum of the configuration speeds to obtain the corresponding two quotients, and the two quotients are used as the corresponding additional parameters. , .

4. The high-efficiency variable frequency startup processing method for a compressed air energy storage compressor system according to claim 3 is characterized in that: In step 2, the method for obtaining the average starting speed of each compressor to be analyzed on each past day includes: obtaining the past speed value of each time interval of each compressor to be analyzed on each past day, and performing pre-processing; performing mean analysis on the past speed value of each time interval of each compressor to be analyzed on each past day after pre-processing, and obtaining the average starting speed of each compressor to be analyzed on each past day; In step 2, the equation for calculating the average starting speed of each compressor to be analyzed on each previous day is: ; Here, The first Compressor's past The average starting speed of the day, It is to be analyzed Compressor's past Day The past speed value of the time interval, , is the number of compressors to parse, , is the number of past days obtained, , is the total amount of time.

5. The high-efficiency variable frequency startup processing method for a compressed air energy storage compressor system according to claim 4 is characterized in that: In step 2, the method for obtaining the power action coefficient of each compressor to be analyzed on each previous day includes: obtaining the rated capacity of the frequency conversion device of each compressor to be analyzed, the output power value of each time interval of each previous day, and the input power value of the frequency conversion device of each previous day at each time interval of the frequency converter power; performing subtraction mean analysis on the rated capacity of the frequency conversion device of each compressor to be analyzed and the output power value of each previous day at each time interval, respectively, to obtain the power subtraction mean 1 of each compressor to be analyzed on each previous day; performing subtraction mean analysis on the rated capacity of the frequency conversion device of each compressor to be analyzed and the input power value of the frequency conversion device of each previous day at each time interval of the frequency converter power, respectively, to obtain the power subtraction mean 2 of each compressor to be analyzed on each previous day; performing overall analysis on the power subtraction mean 1 and the power subtraction mean 2 of each compressor to be analyzed on each previous day, respectively, to obtain the power action coefficient of each compressor to be analyzed on each previous day; In step 2, the equation for calculating the power action coefficient of each compressor to be analyzed on each previous day is: ; Here, The first Compressor's past The power contribution coefficient of the day, The first Compressor's past The average daily power reduction is one. The first Compressor's past The ratio parameter of the daily power reduction to the mean value of one, The same as the first The inverter equipment connected to the compressor Day The output power value of the time interval is The first The rated capacity of the inverter connected to each compressor, The first Compressor's past The average daily power reduction is 2, The first Compressor's past The ratio parameter of the daily power subtraction mean value is The same as the first The inverter equipment connected to the compressor Day The input power value of the time interval is The first Compressor's past The daily adjustment parameters, , is the number of compressors to parse, , is the number of past days obtained, , is the total amount of time.

6. The high-efficiency variable frequency startup processing method for a compressed air energy storage compressor system according to claim 5 is characterized in that: In step 2, and The method to obtain is: Compressor's past The modulus of the power subtraction mean 1 and the modulus of the power subtraction mean 2 are added, and the sum is taken as the power difference addition. Compressor's past The modulus of the average power subtraction amount 1 and the modulus of the average power subtraction amount 2 of the day are divided by the power difference addition amount to obtain two corresponding quotient values, and the two quotient values ​​are respectively regarded as corresponding ratio parameters and .

7. The method for high-efficiency variable frequency startup of a compressed air energy storage compressor system according to claim 6, characterized in that: In step 2, the method for obtaining the time effect coefficient of each compressor to be analyzed on each past day includes: obtaining the total number of working days corresponding to each compressor to be analyzed on each past day, and performing overall analysis to obtain the time effect coefficient of each compressor to be analyzed on each past day, and the calculation equation is: ; Here, The first Compressor's past The daily time effect coefficient, It is the first information to be parsed stored in the pre-set information table. The maximum speed variation parameter of each compressor, It is the first information to be parsed stored in the pre-set information table. The speed parameter of each compressor, is the Euler number, To parse Compressor's past The total number of working days corresponding to the day, It is the time adjustment parameter, , is the number of compressors to parse, , is the number of past days obtained.

8. The high-efficiency variable frequency startup processing method for a compressed air energy storage compressor system according to claim 7 is characterized in that: In step 4, the past speed values ​​of each compressor at each time interval of each day in the past are compared and analyzed with the corresponding speed estimated value of the compressor, and the total time intervals in which the past speed value of each compressor is greater than the speed estimated value are obtained; The total time intervals when the past speed value of each compressor is greater than the speed estimated value are compared and analyzed with the set maximum time interval total, and the compressor corresponding to the time interval total value greater than the set maximum time interval total value is registered as abnormal speed. Simultaneously, corresponding registration is performed for each time interval when the past speed value of the compressor is greater than the speed estimated value, and an advance notification message of the speed abnormality is transmitted to inform the corresponding controller.

9. A high-efficiency variable frequency startup processing system for a compressed air energy storage compressor system, characterized in that: include: The control device is connected to the frequency conversion device, and the frequency conversion device is also connected to the compressor via the motor. A speed transmitter connected to the control device is also provided on the compressor. A power transmitter 1 and a power transmitter 2 are provided on the frequency conversion device. The power transmitter 1 and the power transmitter 2 are respectively used to sample the input power of the frequency conversion device and the output power of the frequency conversion device and transmit them to the control device. The speed transmitter is used to sample the speed value of the compressor and transmit it to the control device. If the compressor executes a start command, the control device controls the motor to switch to the power grid to obtain electric energy; if the compressor executes a stop command, the control device controls the frequency conversion device via the motor according to the transmitted speed value of the compressor to make the compressor speed reach a predefined critical value; The modules executed on the control device include: An acquisition module is used to obtain the past speed values, past power values, and past working values ​​of each compressor to be analyzed; the past speed values ​​are the past speed values ​​of the compressor at each time interval on each past day, the past power values ​​include the output power values ​​of the past frequency conversion equipment, the input power values ​​of the past frequency conversion equipment, and the rated capacity of the frequency conversion equipment, and the past working values ​​are the total number of working days corresponding to each past day of the compressor; An analysis module, which is used to perform overall analysis on the past speed values, past power values, and past working values ​​of each compressor to be analyzed, and obtain the average starting speed, power action coefficient, and time action coefficient of each compressor to be analyzed on each day in the past; A calculation module, which is used to perform a comprehensive analysis on the average starting speed of each compressor to be analyzed on each day in the past, the power effect coefficient, and the time effect coefficient, and obtain the speed estimation value of each compressor to be analyzed; The registration module is used to perform anomaly analysis on the past speed values ​​of each compressor to be analyzed based on the speed estimation value. If there is an anomaly, the compressor to be analyzed is analyzed to be a compressor that does not meet the pre-set level, and it is registered as a speed abnormality, and a speed abnormality advance notification message is transmitted to inform the corresponding controller.

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