Automatic control method, system and program product for gas turbine generator set

Abstract

The invention belongs to the technical field of power generation control, and particularly discloses an automatic control method and system for a gas turbine generator set and a program product, and the method comprises the steps: carrying out the dynamic calculation of PID adjustment parameters through obtaining the operation condition data and load prediction data of the gas turbine generator set; according to the method, the PID controller is enabled to perform dynamic operation control on the gas turbine generator set, so that the generator set can be ensured to be always kept in an optimal economical operation state, the crossing from passive response to active optimization is realized, the method has good predictability, and the purpose of global optimal control can be achieved; the control parameters can be adjusted in real time according to the working condition change of the generator set, the defect that the performance is reduced when the working condition changes in a traditional fixed parameter control mode is overcome, and extremely high robustness is achieved; the adaptability, economical efficiency and reliability of automatic control of the gas turbine generator set can be remarkably improved.

Description

Technical Field

[0001] This invention belongs to the field of power generation control technology, specifically relating to an automated control method, system, and program product for a gas turbine generator set. Background Technology

[0002] A gas turbine generator set is a complete set of equipment that uses a gas turbine as its core, driving the impeller to rotate through a continuous flow of gas, converting fuel energy into mechanical energy, and then converting the mechanical energy into electrical energy through a generator. Gas turbine generator sets play an important role in peak shaving and main power supply in modern power systems, and their level of automation control directly affects the unit's efficiency, reliability, emission levels, and lifespan.

[0003] Traditional gas turbine generator set control primarily employs classic PID (Proportional-Integral-Derivative) control methods or control methods based on fixed-parameter models. These control methods have the following shortcomings: 1. They cannot proactively adjust based on the dynamic operating conditions of the unit and the changing trends of the power grid load, resulting in insufficient predictability. 2. They lack global collaborative optimization, making it difficult to achieve optimal economic operation of the entire unit. 3. When the unit's operating conditions (such as ambient temperature, gas pressure, and load demand) change, it is difficult to maintain the optimal state, exhibiting poor robustness. Summary of the Invention

[0004] The purpose of this invention is to provide an automated control method, system, and program product for gas turbine generator sets to solve the aforementioned problems existing in the prior art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, an automated control method for a gas turbine generator set is provided, comprising: The system acquires real-time status monitoring data, predicted load data, and operating environment parameters of the gas turbine generator set. The real-time status monitoring data includes the actual generator speed and actual exhaust temperature at the current moment. The predicted load data includes the predicted load value at the next moment. The operating environment parameters include the operating environment temperature and operating environment pressure. The target generating speed and target exhaust temperature for the next moment are determined based on the ambient temperature, ambient air pressure, and the load forecast for the next moment. The comprehensive deviation value and deviation change rate are calculated using the target power generation speed and target exhaust temperature at the next moment, as well as the actual power generation speed and actual exhaust temperature at the current moment. The basic adjustment coefficient is determined based on the comprehensive deviation value and the rate of change of deviation. The PID control parameters are calculated using the basic control coefficient and then sent to the PID controller of the gas turbine generator set so that the PID controller can dynamically control the operation of the gas turbine generator set according to the PID control parameters.

[0006] In one possible design, determining the target generator speed and target exhaust temperature for the next moment based on the ambient temperature, ambient air pressure, and the load forecast for the next moment includes: The equivalent power is calculated by substituting the ambient temperature, ambient air pressure, and the predicted load value at the next moment into a preset equivalent power formula. The equivalent power formula is as follows:

[0007] Among them, P d For equivalent power, P r The load forecast value for the next time step, σ is the temperature correction factor, δ is the pressure correction factor, and T is the load forecast value for the next time step. a For the operating environment temperature, P a The ambient air pressure; The reference parameters for speed regulation and temperature regulation are determined based on equivalent power. Substituting the speed regulation reference parameters into the speed calculation formula, the target power generation speed at the next moment is obtained. The speed calculation formula is as follows:

[0008] Where, N t For the target power generation speed, N j This serves as the reference parameter for speed adjustment. Substituting the temperature regulation reference parameters into the temperature calculation formula, the target exhaust temperature for the next moment is obtained. The temperature calculation formula is as follows:

[0009] Among them, T t For the target exhaust temperature, T j K is the reference parameter for temperature regulation. T T is the set temperature compensation coefficient. b The set reference ambient temperature.

[0010] In one possible design, determining the speed regulation reference parameters and temperature regulation reference parameters based on equivalent power includes: For equivalent power P d Linear fitting calculations were performed to obtain the speed regulation reference parameter N. j N j =A×P d+B, where A and B are the set first linear fitting coefficient and the second linear fitting coefficient, respectively; For equivalent power P d A quadratic polynomial fitting calculation is performed to obtain the temperature regulation reference parameter T. j T j =C×(P) d ) 2 +D×P d +E, where C, D, and E are the set first, second, and third polynomial fitting coefficients, respectively.

[0011] In one possible design, the calculation of the comprehensive deviation value and deviation change rate using the target power generation speed and target exhaust temperature at the next moment, and the actual power generation speed and actual exhaust temperature at the current moment, includes: The speed deviation is obtained by subtracting the actual power generation speed at the current moment from the target power generation speed at the next moment, and the temperature deviation is obtained by subtracting the target exhaust temperature at the next moment from the actual exhaust temperature at the current moment. The speed deviation and temperature deviation are normalized separately, and then the normalized speed deviation and temperature deviation are weighted and summed to obtain the comprehensive deviation value. The rate of change of deviation is obtained by dividing the overall deviation value by the time interval from the current moment to the next moment.

[0012] In one possible design, determining the basic adjustment coefficient based on the comprehensive deviation value and the rate of change of deviation includes: The comprehensive deviation value is substituted into a preset weight parameter table for matching to determine the corresponding weight parameter. The weight parameter table contains several comprehensive deviation value ranges and the weight parameter corresponding to each comprehensive deviation value range. The basic adjustment coefficient is calculated by substituting the weighting parameter, the comprehensive deviation value, and the deviation change rate into the preset basic adjustment coefficient formula. The basic adjustment coefficient formula is as follows:

[0013] Among them, K b Q is the basic adjustment coefficient, e is the comprehensive deviation value, f is the deviation change rate, sign() indicates the sign function processing, tanh() indicates the hyperbolic tangent function operation, and β is the set sensitivity parameter.

[0014] In one possible design, the PID control parameters include the proportional gain change ΔK. p , Integral time change ΔT i and the differential time change ΔT d .

[0015] In one possible design, the calculation of PID control parameters using the basic control coefficient includes: Substitute the basic adjustment coefficient into the preset formula for calculating the change in the proportional coefficient to obtain the change in the proportional coefficient ΔK. p The formula for calculating the change in the proportional coefficient is:

[0016] Among them, K b The basic adjustment coefficient, λ p S is the set proportional coefficient weighting parameter. p Adjust the step size for the set scaling factor; Substituting the basic adjustment coefficient into the preset formula for integral time change, the integral time change ΔT is obtained. i The formula for the integral time change is:

[0017] Where, λ i S is the set integral time weight parameter. i Adjust the step size for the set integration time; The basic adjustment coefficient is substituted into the preset formula for the differential time change to obtain the differential time change ΔT. d The formula for the differential time change is:

[0018] Where, λ d S is the set differential time weight parameter. d Adjust the step size for the set differential time.

[0019] Secondly, an automated control system for a gas turbine generator set is provided, comprising a data acquisition unit, a target prediction unit, a deviation determination unit, a coefficient determination unit, and a parameter control unit, wherein: The data acquisition unit is used to acquire real-time status monitoring data, predicted load data, and operating environment parameters of the gas turbine generator set. The real-time status monitoring data includes the actual generator speed and actual exhaust temperature at the current moment. The predicted load data includes the predicted load value at the next moment. The operating environment parameters include the operating environment temperature and operating environment pressure. The target prediction unit is used to determine the target generator speed and target exhaust temperature for the next moment based on the ambient temperature, ambient air pressure, and the load forecast value for the next moment. The deviation determination unit is used to calculate the comprehensive deviation value and deviation change rate using the target power generation speed and target exhaust temperature at the next moment, as well as the actual power generation speed and actual exhaust temperature at the current moment. The coefficient determination unit is used to determine the basic adjustment coefficient based on the comprehensive deviation value and the rate of change of deviation. The parameter control unit is used to calculate the PID control parameters using the basic adjustment coefficients and send the PID control parameters to the PID controller of the gas turbine generator set, so that the PID controller can perform dynamic operation control of the gas turbine generator set according to the PID control parameters.

[0020] Thirdly, an automated control system for a gas turbine generator set is provided, comprising: Memory, used to store instructions; The processor is configured to read instructions stored in the memory and execute any one of the gas turbine generator set automation control methods described in the first aspect above, according to the instructions.

[0021] Fourthly, a computer-readable storage medium is provided, on which instructions are stored, which, when executed on a computer, cause the computer to perform any one of the automated control methods for a gas turbine generator set described in the first aspect. Simultaneously, a computer program product is also provided, which, when executed on a computer, performs any one of the automated control methods for a gas turbine generator set described in the first aspect.

[0022] Beneficial effects: This invention dynamically calculates PID control parameters by acquiring operating condition data and load forecast data of the gas turbine generator set, enabling the PID controller to dynamically control the gas turbine generator set. This ensures that the generator set always maintains the optimal economic operating state, achieving a leap from "passive response" to "active optimization," with good predictive ability and the ability to achieve global optimal control. This invention can adjust control parameters in real time according to changes in the generator set's operating conditions, overcoming the performance degradation of traditional fixed parameter control methods when operating conditions change, and has extremely strong robustness. This invention can significantly improve the adaptability, economy, and reliability of automated control of gas turbine generator sets. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart illustrating the method in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the system configuration in Embodiment 2 of the present invention; Figure 3 This is a schematic diagram of the system configuration in Embodiment 3 of the present invention. Detailed Implementation

[0025] It should be noted that the descriptions of these embodiments are intended to aid in understanding the invention and do not constitute a limitation thereof. The specific structural and functional details disclosed herein are merely for describing exemplary embodiments of the invention. However, the invention may be embodied in many alternative forms and should not be construed as being limited to the embodiments described herein.

[0026] It should be understood that, unless otherwise explicitly specified and limited, the corresponding terms should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in the embodiments according to the specific circumstances.

[0027] Specific details are provided in the following description to provide a complete understanding of the exemplary embodiments. However, those skilled in the art will understand that the exemplary embodiments can be implemented without these specific details. For example, apparatus may be shown in block diagrams to avoid obscuring the examples with unnecessary details. In other embodiments, well-known processes, structures, and techniques may be omitted with non-essential details to avoid obscuring the embodiments.

[0028] Example 1: This embodiment provides an automated control method for a gas turbine generator set, which can be applied to corresponding gas turbine generator set control systems, such as... Figure 1 As shown, the method includes the following steps: S1. Acquire real-time status monitoring data, predicted load data, and operating environment parameters of the gas turbine generator set. The real-time status monitoring data includes the actual generator speed and actual exhaust temperature at the current moment. The predicted load data includes the predicted load value at the next moment. The operating environment parameters include the operating environment temperature and operating environment pressure.

[0029] In practice, the control system first acquires real-time status monitoring data, predicted load data, and operating environment parameters of the gas turbine generator set. The real-time status monitoring data includes the actual generator speed and actual exhaust temperature at the current moment, the predicted load data includes the predicted load value at the next moment, and the operating environment parameters include the operating environment temperature and operating environment pressure.

[0030] S2. Determine the target generator speed and target exhaust temperature for the next moment based on the ambient temperature, ambient air pressure, and the load forecast for the next moment.

[0031] In practice, the control system substitutes the ambient temperature, ambient air pressure, and the predicted load value at the next moment into a preset equivalent power formula to calculate the equivalent power. The equivalent power formula is as follows:

[0032] Among them, P d For equivalent power, P r The load forecast value for the next time step, σ is the temperature correction factor, δ is the pressure correction factor, and T is the load forecast value for the next time step. a P represents the ambient temperature (°C). a The ambient air pressure (kPa); Determining speed regulation reference parameters and temperature regulation reference parameters based on equivalent power includes: determining the equivalent power P d Linear fitting calculations were performed to obtain the speed regulation reference parameter N. j N j =A×P d +B, where A and B are the set first and second linear fitting coefficients, respectively; for the equivalent power P d A quadratic polynomial fitting calculation is performed to obtain the temperature regulation reference parameter T. j T j =C×(P) d ) 2 +D×P d +E, where C, D and E are the set first polynomial fitting coefficient, second polynomial fitting coefficient and third polynomial fitting coefficient, respectively; Substituting the speed regulation reference parameters into the speed calculation formula, the target power generation speed at the next moment is obtained. The speed calculation formula is as follows:

[0033] Where, N t For the target power generation speed, N j This serves as the reference parameter for speed adjustment. Substituting the temperature regulation reference parameters into the temperature calculation formula, the target exhaust temperature for the next moment is obtained. The temperature calculation formula is as follows:

[0034] Among them, T t For the target exhaust temperature, T j T is the reference parameter for temperature regulation. b For the set reference ambient temperature (e.g., 15), KT The set temperature compensation coefficient (determined by the unit characteristics, is an empirical value or obtained from manufacturer data, such as K) T =0.5 indicates that for every 1°C increase in ambient temperature, the target exhaust temperature setpoint is increased by 0.5°C to compensate for performance degradation.

[0035] S3. Calculate the comprehensive deviation value and deviation change rate using the target generator speed and target exhaust temperature at the next moment, as well as the actual generator speed and actual exhaust temperature at the current moment.

[0036] In practice, the control system subtracts the actual power generation speed at the current moment from the target power generation speed at the next moment to obtain the speed deviation, and subtracts the target exhaust temperature at the next moment from the actual exhaust temperature at the current moment to obtain the temperature deviation. Then, the speed deviation and temperature deviation are normalized respectively, and the normalized speed deviation and temperature deviation are weighted and summed to obtain the comprehensive deviation value. Finally, the comprehensive deviation value is divided by the time interval from the current moment to the next moment to obtain the deviation change rate.

[0037] S4. Determine the basic adjustment coefficient based on the comprehensive deviation value and the deviation change rate.

[0038] In practice, the control system substitutes the comprehensive deviation value into a preset weight parameter table for matching and determines the corresponding weight parameter. The weight parameter table contains several comprehensive deviation value ranges and the weight parameter corresponding to each comprehensive deviation value range. For example, the weight parameter corresponding to the comprehensive deviation value range (0-0.25) is 0, the weight parameter corresponding to the comprehensive deviation value range (0.25-0.5) is 1, and so on.

[0039] Then, the weighting parameters, the comprehensive deviation value, and the deviation change rate are substituted into the preset basic adjustment coefficient formula for calculation to obtain the basic adjustment coefficient. The basic adjustment coefficient formula is as follows:

[0040] Among them, K b Q is the basic adjustment coefficient, e is the comprehensive deviation value, f is the deviation change rate, sign() indicates the sign function processing, tanh() indicates the hyperbolic tangent function operation, and β is the set sensitivity parameter.

[0041] S5. Calculate the PID control parameters using the basic control coefficients and send the PID control parameters to the PID controller of the gas turbine generator set so that the PID controller can perform dynamic operation control of the gas turbine generator set according to the PID control parameters.

[0042] In specific implementation, the PID control parameters include the proportional coefficient change ΔK.p , Integral time change ΔT i and the differential time change ΔT d When the control system calculates the PID control parameters using the basic adjustment coefficient, the basic adjustment coefficient is substituted into the preset formula for the proportional coefficient change to obtain the proportional coefficient change ΔK. p The formula for calculating the change in the proportional coefficient is:

[0043] Among them, K b The basic adjustment coefficient, λ p S is the set proportional coefficient weighting parameter. p Adjust the step size for the set proportional coefficient; substitute the basic adjustment coefficient into the preset integral time change formula to calculate the integral time change ΔT. i The formula for the integral time change is:

[0044] Where, λ i S is the set integral time weight parameter. i Adjust the step size for the set integral time; substitute the basic adjustment coefficient into the preset formula for the differential time change to obtain the differential time change ΔT. d The formula for the differential time change is:

[0045] Where, λ d S is the set differential time weight parameter. d Adjust the step size for the set differential time.

[0046] Determine the change in the proportionality coefficient ΔK p , Integral time change ΔT i and the differential time change ΔT d Then, the control system will change the proportional coefficient ΔK p , Integral time change ΔT i and the differential time change ΔT d The data is sent to the PID controller of the gas turbine generator set so that the PID controller can adjust the proportional coefficient change ΔK accordingly. p , Integral time change ΔT i and the differential time change ΔT d Dynamic operation control of gas turbine generator sets involves superimposing the corresponding proportional coefficient change ΔK onto the PID control parameters at the current moment. p , Integral time change ΔT i and the differential time change ΔT d.

[0047] This method ensures that the generator set always maintains optimal economic operation, achieving a leap from "passive response" to "active optimization." It possesses excellent predictability and can achieve globally optimal control. Simultaneously, it can adjust control parameters in real time according to changes in the generator set's operating conditions, overcoming the performance degradation of traditional fixed-parameter control methods under changing conditions, and exhibiting strong robustness. This method can significantly improve the adaptability, economy, and reliability of the automated control of gas turbine generator sets.

[0048] Example 2: This embodiment provides an automated control system for a gas turbine generator set, such as... Figure 2 As shown, it includes a data acquisition unit, a target prediction unit, a deviation determination unit, a coefficient determination unit, and a parameter control unit, wherein: The data acquisition unit is used to acquire real-time status monitoring data, predicted load data, and operating environment parameters of the gas turbine generator set. The real-time status monitoring data includes the actual generator speed and actual exhaust temperature at the current moment. The predicted load data includes the predicted load value at the next moment. The operating environment parameters include the operating environment temperature and operating environment pressure. The target prediction unit is used to determine the target generator speed and target exhaust temperature for the next moment based on the ambient temperature, ambient air pressure, and the load forecast value for the next moment. The deviation determination unit is used to calculate the comprehensive deviation value and deviation change rate using the target power generation speed and target exhaust temperature at the next moment, as well as the actual power generation speed and actual exhaust temperature at the current moment. The coefficient determination unit is used to determine the basic adjustment coefficient based on the comprehensive deviation value and the rate of change of deviation. The parameter control unit is used to calculate the PID control parameters using the basic adjustment coefficients and send the PID control parameters to the PID controller of the gas turbine generator set, so that the PID controller can perform dynamic operation control of the gas turbine generator set according to the PID control parameters.

[0049] Example 3: This embodiment provides an automated control system for a gas turbine generator set, such as... Figure 3 As shown, at the hardware level, it includes: The data interface is used to establish data communication between the processor and external data terminals; Memory, used to store instructions; The processor is used to read instructions stored in the memory and execute the gas turbine generator set automation control method in Embodiment 1 according to the instructions.

[0050] Optionally, the system also includes an internal bus, through which the processor, memory, and data interface can be interconnected. This internal bus can be a PCIe (Peripheral Component Interconnect Eexpress) bus, which can be divided into an address bus, a data bus, a control bus, etc. The memory can include, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Flash Memory, First Input First Output (FIFO), and / or First In Last Out (FILO). The processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0051] Example 4: This embodiment provides a computer-readable storage medium storing instructions. When these instructions are executed on a computer, the computer performs the automated control method for a gas turbine generator set as described in Embodiment 1. The computer-readable storage medium refers to a data storage medium, which may include, but is not limited to, floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or Memory Sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0052] This embodiment also provides a computer program product that, when run on a computer, executes the gas turbine generator set automation control method of Embodiment 1. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0053] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An automated control method for a gas turbine generator set, characterized in that, include: The system acquires real-time status monitoring data, predicted load data, and operating environment parameters of the gas turbine generator set. The real-time status monitoring data includes the actual generator speed and actual exhaust temperature at the current moment. The predicted load data includes the predicted load value at the next moment. The operating environment parameters include the operating environment temperature and operating environment pressure. The target generating speed and target exhaust temperature for the next moment are determined based on the ambient temperature, ambient air pressure, and the load forecast for the next moment. The comprehensive deviation value and deviation change rate are calculated using the target power generation speed and target exhaust temperature at the next moment, as well as the actual power generation speed and actual exhaust temperature at the current moment. The basic adjustment coefficient is determined based on the comprehensive deviation value and the rate of change of deviation. The PID control parameters are calculated using the basic control coefficient and then sent to the PID controller of the gas turbine generator set so that the PID controller can dynamically control the operation of the gas turbine generator set according to the PID control parameters.

2. The automated control method for a gas turbine generator set according to claim 1, characterized in that, The process of determining the target generator speed and target exhaust temperature for the next moment based on the ambient temperature, ambient air pressure, and the load forecast for the next moment includes: The equivalent power is calculated by substituting the ambient temperature, ambient air pressure, and the predicted load value at the next moment into a preset equivalent power formula. The equivalent power formula is as follows: Among them, P d For equivalent power, P r The load forecast value for the next time step, σ is the temperature correction factor, δ is the pressure correction factor, and T is the load forecast value for the next time step. a For the operating environment temperature, P a The ambient air pressure; The reference parameters for speed regulation and temperature regulation are determined based on equivalent power. Substituting the speed regulation reference parameters into the speed calculation formula, the target power generation speed at the next moment is obtained. The speed calculation formula is: Where, N t For the target power generation speed, N j This serves as the reference parameter for speed adjustment. Substituting the temperature regulation reference parameters into the temperature calculation formula, the target exhaust temperature for the next moment is obtained. The temperature calculation formula is as follows: Among them, T t For the target exhaust temperature, T j K is the reference parameter for temperature regulation. T T is the set temperature compensation coefficient. b The set reference ambient temperature.

3. The automated control method for a gas turbine generator set according to claim 2, characterized in that, The determination of speed regulation reference parameters and temperature regulation reference parameters based on equivalent power includes: For equivalent power P d Linear fitting calculations were performed to obtain the speed regulation reference parameter N. j N j =A×P d +B, where A and B are the set first linear fitting coefficient and the second linear fitting coefficient, respectively; For equivalent power P d A quadratic polynomial fitting calculation is performed to obtain the temperature regulation reference parameter T. j T j =C×(P) d ) 2 +D×P d +E, where C, D, and E are the set first, second, and third polynomial fitting coefficients, respectively.

4. The automated control method for a gas turbine generator set according to claim 1, characterized in that, The calculation of the comprehensive deviation value and deviation change rate using the target power generation speed and target exhaust temperature at the next moment, and the actual power generation speed and actual exhaust temperature at the current moment, includes: The speed deviation is obtained by subtracting the actual power generation speed at the current moment from the target power generation speed at the next moment, and the temperature deviation is obtained by subtracting the target exhaust temperature at the next moment from the actual exhaust temperature at the current moment. The speed deviation and temperature deviation are normalized separately, and then the normalized speed deviation and temperature deviation are weighted and summed to obtain the comprehensive deviation value. The rate of change of deviation is obtained by dividing the overall deviation value by the time interval from the current moment to the next moment.

5. The automated control method for a gas turbine generator set according to claim 1, characterized in that, The determination of the basic adjustment coefficient based on the comprehensive deviation value and the rate of change of deviation includes: The comprehensive deviation value is substituted into a preset weight parameter table for matching to determine the corresponding weight parameter. The weight parameter table contains several comprehensive deviation value ranges and the weight parameter corresponding to each comprehensive deviation value range. The basic adjustment coefficient is calculated by substituting the weighting parameters, the comprehensive deviation value, and the deviation change rate into a preset formula. The formula for the basic adjustment coefficient is as follows: Among them, K b Q is the basic adjustment coefficient, e is the comprehensive deviation value, f is the deviation change rate, sign() indicates the sign function processing, tanh() indicates the hyperbolic tangent function operation, and β is the set sensitivity parameter.

6. The automated control method for a gas turbine generator set according to claim 1, characterized in that, The PID control parameters include the proportional coefficient change ΔK. p , Integral time change ΔT i and the differential time change ΔT d .

7. The automated control method for a gas turbine generator set according to claim 6, characterized in that, The calculation of PID control parameters using the basic control coefficient includes: Substitute the basic adjustment coefficient into the preset formula for calculating the change in the proportional coefficient to obtain the change in the proportional coefficient ΔK. p The formula for calculating the change in the proportional coefficient is: Among them, K b The basic adjustment coefficient, λ p S is the set proportional coefficient weighting parameter. p Adjust the step size for the set scaling factor; Substituting the basic adjustment coefficient into the preset formula for integral time change, the integral time change ΔT is obtained. i The formula for the integral time change is: Where, λ i S is the set integral time weight parameter. i Adjust the step size for the set integration time; The basic adjustment coefficient is substituted into the preset formula for the differential time change to obtain the differential time change ΔT. d The formula for the differential time change is: Where, λ d S is the set differential time weight parameter. d Adjust the step size for the set differential time.

8. An automated control system for a gas turbine generator set, characterized in that, It includes a data acquisition unit, a target prediction unit, a deviation determination unit, a coefficient determination unit, and a parameter control unit, wherein: The data acquisition unit is used to acquire real-time status monitoring data, predicted load data, and operating environment parameters of the gas turbine generator set. The real-time status monitoring data includes the actual generator speed and actual exhaust temperature at the current moment. The predicted load data includes the predicted load value at the next moment. The operating environment parameters include the operating environment temperature and operating environment pressure. The target prediction unit is used to determine the target generator speed and target exhaust temperature for the next moment based on the ambient temperature, ambient air pressure, and the load forecast value for the next moment. The deviation determination unit is used to calculate the comprehensive deviation value and deviation change rate using the target power generation speed and target exhaust temperature at the next moment, as well as the actual power generation speed and actual exhaust temperature at the current moment. The coefficient determination unit is used to determine the basic adjustment coefficient based on the comprehensive deviation value and the rate of change of deviation. The parameter control unit is used to calculate the PID control parameters using the basic adjustment coefficients and send the PID control parameters to the PID controller of the gas turbine generator set, so that the PID controller can perform dynamic operation control of the gas turbine generator set according to the PID control parameters.

9. An automated control system for a gas turbine generator set, characterized in that, include: Memory, used to store instructions; A processor is configured to read instructions stored in the memory and execute the automated control method for a gas turbine generator set according to any one of claims 1-7.

10. A computer program product, characterized in that, When the computer program product is run on a computer, it executes the automatic control method for gas turbine generator sets as described in any one of claims 1-7.

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