Adaptive energy-saving control method for air compression station house system

Abstract

The present application relates to the technical field of energy-saving control, and particularly relates to a self-adaptive energy-saving control method for an air compression station building system, which collects real-time mass flow, real-time volume flow, real-time gas supply main pipe pressure, real-time waste heat recovery valve opening, real-time compressor exhaust temperature, real-time compressor suction temperature and real-time electric power, carries out standardization processing, calculates real-time adiabatic efficiency of the compressor, takes the first-order derivative of the real-time adiabatic efficiency with respect to time as a real-time efficiency attenuation rate, and makes the instantaneous degradation of internal wear-leakage-oil temperature coupling explicit; through calculation of real-time thermal pressure resonance index and real-time energy efficiency attenuation momentum, the external thermal pressure excitation and the internal energy efficiency degradation are quantified; further, a thermal pressure-energy efficiency coupling potential index is calculated, and segmented control is carried out based on the thermal pressure-energy efficiency coupling potential index.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy-saving control, in particular to a self-adaptive energy-saving control method for an air compression station house system. BACKGROUND

[0002] A central air compression station house in a coastal chemical park is equipped with permanent magnet variable frequency screw compressors and two-stage adsorption dryers, which uniformly provide instrument air to an intermittent production line. Due to random events such as batch switching, purging, nitrogen sealing conversion, and emergency relief, the system's instantaneous flow fluctuates dramatically within the rated range. At the same time, the station house's exhaust heat is recovered for heating in winter, forming a triple coupling of "compressor exhaust temperature - waste heat demand - variable frequency speed regulation".

[0003] Under the condition of "random load + multi-machine coupling + waste heat linkage", the system must simultaneously minimize the specific work of production and maintain the stability of the pipe network pressure / dew point; however, the isentropic efficiency of the compressor is controlled by the second-order nonlinear decay of the suction temperature, oil temperature, and internal leakage, which cannot be observed in real time by existing linear PI models; frequent speed variation / unloading to track short-period loads exacerbates the superposition of valve switching transient heat release and pressure waves, introducing hysteresis instability. This constitutes a contradiction between "real-time energy efficiency optimization" and "dynamic stability", which is essentially a controllability-observability conflict between "internal unobservable aging - thermal pressure coupling nonlinear dynamics" and "external rapid random fluctuating load".

[0004] In the self-adaptive energy-saving control of the air compression station house system, in the face of random load and waste heat coupling, it is necessary to quantize the mutual amplification effect of efficiency decay and thermal pressure resonance in real time, and use the quantization result to realize adaptive control that is both energy-saving and stable, the existing technology does not use the adiabatic efficiency decay rate of the compressor as a feature. SUMMARY

[0005] The main purpose of the present application is to provide a self-adaptive energy-saving control method for an air compression station house system, by collecting real-time mass flow, real-time volume flow, real-time gas supply main pressure, real-time waste heat recovery valve opening, real-time compressor exhaust temperature, real-time compressor suction temperature, and real-time electric power and performing standardization processing and calculating the real-time adiabatic efficiency of the compressor, taking the first derivative of the real-time adiabatic efficiency with respect to time as the real-time efficiency decay rate, and making the instantaneous degradation of internal wear-leakage-oil temperature coupling explicit; by calculating the real-time thermal pressure resonance index and the real-time energy efficiency decay momentum, the external thermal pressure excitation and the internal energy efficiency degradation are quantified; further calculate the thermal pressure-energy coupling potential index, and perform segmented control based on the thermal pressure-energy coupling potential index.

[0006] The technical solution of the present application is as follows:

[0007] Firstly, an adaptive energy-saving control method for air compressor station systems is proposed, which includes the following steps:

[0008] S1. Collect real-time mass flow rate, real-time volumetric flow rate, real-time gas supply main pipe pressure, real-time waste heat recovery valve opening, real-time compressor discharge temperature, real-time compressor suction temperature, and real-time electrical power respectively, and perform standardization processing.

[0009] S2. Based on the standardized real-time mass flow rate, real-time compressor discharge temperature, real-time compressor suction temperature, and real-time electrical power, calculate the real-time adiabatic efficiency of the compressor, and use the first derivative of the real-time adiabatic efficiency with respect to time as the real-time efficiency decay rate.

[0010] S3. Calculate the real-time thermo-pressure resonance index based on the standardized real-time volumetric flow rate, real-time gas supply header pressure, and real-time compressor exhaust temperature; and calculate the real-time energy efficiency decay momentum based on the real-time adiabatic efficiency and real-time efficiency decay rate.

[0011] S4. Based on the real-time thermo-pressure resonance index and the real-time energy efficiency decay momentum, calculate the thermo-pressure-energy efficiency coupling potential index, and perform segmented control based on the thermo-pressure-energy efficiency coupling potential index.

[0012] A further improvement of this invention is that the formula for calculating the real-time adiabatic efficiency in S2 is:

[0013] ;

[0014] in, This represents the adiabatic efficiency at time t. This represents the mass flow rate at time t, in units of... , This represents the specific heat capacity at constant pressure, with units of 1. , This represents the compressor discharge temperature at time t, in Kelvin (K). This represents the compressor suction temperature at time t, in Kelvin (K). Represents the electrical power at time t, in units of t. The unit of t is s.

[0015] A further improvement of this invention is that the formula for calculating the real-time efficiency decay rate in S3 is:

[0016] ;

[0017] in, This represents the efficiency decay rate at time t, in units of... .

[0018] A further improvement of the present invention is that step S3 includes the following specific steps:

[0019] S31, calculating the time interval standard deviation of volume flow in the inner part as the standard deviation of load at time t, unit is and calculating the first derivative of real-time gas supply main pressure with respect to time, denoted as , unit is , wherein is the gas supply main pressure at time t, unit is ;

[0020] S32, calculating the real-time thermal pressure resonance index, the calculation formula of the real-time thermal pressure resonance index is:

[0021] ;

[0022] , wherein represents the rated volume flow, unit is , represents the pressure wave propagation delay, unit is s, represents the control bandwidth pressure difference reference value, which is 0.06 MPa, represents the nominal compressor exhaust temperature, unit is K.

[0023] Further improvement of the present application is that the S3 further comprises calculating the real-time energy efficiency attenuation momentum; the calculation formula of the real-time energy efficiency attenuation momentum is: ; wherein represents the energy efficiency attenuation momentum at time t, represents the thermal inertia constant, unit is s, represents the nominal adiabatic efficiency.

[0024] Further improvement of the present application is that the calculation formula of the thermal pressure-energy coupling potential index in the S4 is:

[0025] ;

[0026] , wherein represents the thermal pressure-energy coupling potential index at time t, , , respectively represent weight factors, ; represents a safety threshold, .

[0027] Further improvement of the present application is that the specific content of the segmented control based on the thermal pressure-energy coupling potential index in the S4 is: when , the current control strategy is maintained; when , the compressor frequency and the waste heat valve position are adjusted; when Switching control strategy and constraint .

[0028] In a second aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the adaptive energy-saving control method for the air compression station system.

[0029] In a third aspect, an electronic device is provided, and the electronic device comprises a memory configured to store instructions, and a processor configured to execute the instructions to cause the device to implement the adaptive energy-saving control method for the air compression station system.

[0030] The technical effects of the present application are as follows:

[0031] The adaptive energy-saving control method for the air compression station system is constructed, the real-time mass flow, the real-time volume flow, the real-time supply gas main pipe pressure, the real-time waste heat recovery valve opening, the real-time compressor exhaust temperature, the real-time compressor suction temperature and the real-time electric power are collected and standardized, and the real-time adiabatic efficiency of the compressor is calculated, the first-order derivative of the real-time adiabatic efficiency with respect to time is taken as the real-time efficiency attenuation rate, and the instantaneous degradation of the internal wear-leakage-oil temperature coupling is made explicit. The external thermal pressure excitation and the internal energy efficiency degradation are quantified uniformly by calculating the real-time thermal pressure resonance index and the real-time energy efficiency attenuation momentum. Further, the thermal pressure-energy coupling potential index is calculated, and the segmented control is performed based on the thermal pressure-energy coupling potential index. BRIEF DESCRIPTION OF DRAWINGS

[0032] Other features, objects and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments, read in conjunction with the accompanying drawings:

[0033] Figure 1 FIG. 1 is a flowchart of the adaptive energy-saving control method for the air compression station system of the present application. DETAILED DESCRIPTION

[0034] Embodiment 1

[0035] The embodiment proposes an adaptive energy-saving control method for an air compression station house system. Real-time mass flow, real-time volume flow, real-time air supply main pipe pressure, real-time waste heat recovery valve opening, real-time compressor exhaust temperature, real-time compressor suction temperature and real-time electric power are collected and standardized, and the real-time adiabatic efficiency of the compressor is calculated. The first-order derivative of the real-time adiabatic efficiency with respect to time is taken as the real-time efficiency attenuation rate, and the instantaneous degradation of the internal wear-leakage-oil temperature coupling is made explicit. The real-time thermal pressure resonance index and the real-time energy efficiency attenuation momentum are calculated, and the external thermal pressure excitation and the internal energy efficiency degradation are quantified. The thermal pressure-energy coupling potential index is further calculated, and the segmented control is performed based on the thermal pressure-energy coupling potential index. Specifically, as shown in Figure 1 The adaptive energy-saving control method for the air compression station house system proposed in the embodiment includes the following specific steps:

[0036] S1, real-time mass flow, real-time volume flow, real-time air supply main pipe pressure, real-time waste heat recovery valve opening, real-time compressor exhaust temperature, real-time compressor suction temperature and real-time electric power are collected and standardized;

[0037] S2, based on the standardized real-time mass flow, real-time compressor exhaust temperature, real-time compressor suction temperature and real-time electric power, the real-time adiabatic efficiency of the compressor is calculated, and the first-order derivative of the real-time adiabatic efficiency with respect to time is taken as the real-time efficiency attenuation rate;

[0038] S3, the real-time volume flow, real-time air supply main pipe pressure and real-time compressor exhaust temperature after standardization are calculated to obtain the real-time thermal pressure resonance index; and based on the real-time adiabatic efficiency and the real-time efficiency attenuation rate, the real-time energy efficiency attenuation momentum is calculated;

[0039] S4, based on the real-time thermal pressure resonance index and the real-time energy efficiency attenuation momentum, the thermal pressure-energy coupling potential index is calculated, and the segmented control is performed based on the thermal pressure-energy coupling potential index.

[0040] In the embodiment, the calculation formula of the real-time adiabatic efficiency in S2 is:

[0041] ;

[0042] wherein, represents the adiabatic efficiency at time t, represents the mass flow at time t, the unit is , represents the specific heat capacity at constant pressure, the unit is , represents the compressor exhaust temperature at time t, the unit is K, represents the compressor suction temperature at time t, the unit is K, Represents the electric power at time t, in units of t. The unit of t is s.

[0043] In this embodiment, the formula for calculating the real-time efficiency decay rate in S3 is:

[0044] ;

[0045] in, This represents the efficiency decay rate at time t, in units of... .

[0046] In this embodiment, step S3 includes the following specific steps:

[0047] S31, Calculation Time Interval Standard deviation of volumetric flow rate within The standard deviation of the load at time t, in units of And calculate the first derivative of the real-time gas supply main pipe pressure with respect to time, denoted as The unit is ,in, The pressure of the main gas supply line at time t, in units of... ;

[0048] S32. Calculate the real-time thermo-pressure resonance index. The formula for calculating the real-time thermo-pressure resonance index is as follows:

[0049] ;

[0050] in, This indicates the rated volumetric flow rate, in units of... , This indicates the propagation delay of pressure waves, measured in seconds (s). This represents the reference value for the control bandwidth differential pressure, with a value of 0.06 MPa. This indicates the nominal compressor discharge temperature, expressed in Kelvin (K).

[0051] In this embodiment, step S3 further includes calculating the real-time energy efficiency decay momentum; the formula for calculating the real-time energy efficiency decay momentum is: ;in, This represents the energy-efficient decay momentum at time t. This represents the thermal inertia constant, with units of seconds (s). This represents the nominal adiabatic efficiency.

[0052] In this embodiment, the formula for calculating the thermo-pressure-energy-efficiency coupling potential index in step S4 is as follows:

[0053] ;

[0054] in, a thermal pressure-energy coupling potential index at time t, 、 、 respectively represent weight factors, ; represents a safety threshold, .

[0055] In this embodiment, the specific content of the segment control based on the thermal pressure-energy coupling potential index in S4 is as follows: when , the current control strategy is maintained; when , the compressor frequency and the waste heat valve position are adjusted; when , the control strategy is switched and is constrained.

[0056] The threshold and the weight can be set according to the default settings of the present application, or can be set by the operator.

[0057] Embodiment 2

[0058] The embodiment provides an electronic device, comprising a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes the adaptive energy-saving control method for the air compression station building system by calling the computer program stored in the memory.

[0059] The electronic device can have relatively large differences due to different configurations or performances, and can include one or more processors (Central Processing Units, CPUs) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to realize the adaptive energy-saving control method for the air compression station building system provided by the above-mentioned method embodiment. The electronic device can also include other components for realizing device functions, for example, the electronic device can also have a wired or wireless network interface and an input and output interface, etc., so as to perform data input and output. This embodiment will not be described here.

[0060] Those skilled in the art know that the present application can be implemented as a system, a method or a computer program product. Therefore, the present disclosure can be embodied in the form of a complete hardware, a complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present application can also be implemented as a computer program product in one or more computer readable media, which contains computer readable program code.

[0061] Any combination of one or more computer readable medium can be utilized. The computer readable medium can be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium can be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

[0062] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks.

[0063] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks. Figure 1 one or more functions specified in the flowchart block or blocks.

[0064] The embodiments of the present application described above are illustrative, and not restrictive, of the present application. Various modifications can be made to the embodiments of the present application without departing from the spirit of the present application. The scope of the present application should be determined by the following claims.

Claims

1. An adaptive energy-saving control method for air compressor station systems, characterized in that: The method comprises the following specific steps: S1, collecting real-time mass flow, real-time volume flow, real-time gas supply main pipe pressure, real-time waste heat recovery valve opening, real-time compressor exhaust temperature, real-time compressor suction temperature and real-time electric power respectively and performing standardization processing; S2, calculating real-time adiabatic efficiency of the compressor based on the real-time mass flow, the real-time compressor exhaust temperature, the real-time compressor suction temperature and the real-time electric power after standardization processing, and taking the first-order derivative of the real-time adiabatic efficiency with respect to time as a real-time efficiency attenuation rate; S3, calculating a real-time thermal pressure resonance index based on the real-time volume flow, the real-time gas supply main pipe pressure and the real-time compressor exhaust temperature after standardization processing; and calculating a real-time energy efficiency attenuation momentum based on the real-time adiabatic efficiency and the real-time efficiency attenuation rate; S4, calculating a thermal pressure-energy coupling potential index based on the real-time thermal pressure resonance index and the real-time energy efficiency attenuation momentum, and performing segmented control based on the thermal pressure-energy coupling potential index.

2. The self-adaptive energy-saving control method for the air compression station building system according to claim 1, characterized in that: The calculation formula of the real-time adiabatic efficiency in S2 is: ； wherein, represents the adiabatic efficiency at time t, represents the mass flow rate at time t, in units of , represents the specific heat capacity at constant pressure, in units of , represents the compressor discharge temperature at time t, in units of K, represents the compressor suction temperature at time t, in units of K, represents the electric power at time t, in units of , t is in units of s.

3. The self-adaptive energy-saving control method for the air compression station building system according to claim 2, characterized in that: The calculation formula of the real-time efficiency attenuation rate in S3 is: ； wherein, represents the efficiency decay rate at time t, with units of .

4. The self-adaptive energy-saving control method for the air compression station building system according to claim 3, characterized in that: The S3 comprises the following specific steps: S31, calculate time interval volume flow standard deviation in the inner as the load standard deviation at time t, unit and calculate the first derivative of the real-time gas supply main pressure with respect to time, denoted as , unit , wherein is the gas supply main pressure at time t, unit ; S32, calculating a real-time thermal pressure resonance index, and the calculation formula of the real-time thermal pressure resonance index is: ； wherein, represents the rated volume flow, in m3 / h, , represents the pressure wave propagation delay, in s, represents the control bandwidth pressure difference reference value, with a value of 0.06 MPa, represents the nominal compressor discharge temperature, in K.

5. The adaptive energy-saving control method for the air compression station building system according to claim 4, characterized in that: The S3 further comprises calculating a real-time energy efficiency decay momentum; a calculation formula of the real-time energy efficiency decay momentum is: ; wherein, represents an energy efficiency decay momentum at t moment, represents a thermal inertia constant, in s, represents a nominal adiabatic efficiency.

6. The self-adaptive energy-saving control method for the air compression station building system according to claim 5, characterized in that: The calculation formula of the thermal pressure-energy coupling potential index in S4 is: ； wherein, represents the thermal pressure-energy coupling potential index at time t, , , respectively represent a weight factor, ; represents a safety threshold, .

7. The self-adaptive energy-saving control method for the air compression station building system according to claim 6, characterized in that: The specific content of the segment control based on the thermal pressure-energy coupling potential index in the S4 is: when the current control strategy is maintained; when the compressor frequency and the waste heat valve position are adjusted; when the control strategy is switched and the is restricted.

8. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the adaptive energy-saving control method for the air compression station system according to any one of claims 1-7.

9. An electronic device, comprising: The device comprises a memory for storing instructions and a processor for executing the instructions to enable the device to perform the adaptive energy-saving control method for the air compression station system according to any one of claims 1-7.

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