A method, system and program product for the automated control of a gas turbine generator set

Abstract

The application belongs to the technical field of power generation control, and specifically discloses an automatic control method, system and program product for a gas turbine generator set, wherein dynamic calculation of PID adjustment parameters is performed by acquiring operation condition data and load prediction data of the gas turbine generator set, so that the PID controller can perform dynamic operation control on the gas turbine generator set, the gas turbine generator set can always maintain an optimal economic operation state, a leap from 'passive response' to 'active optimization' is realized, good predictability is achieved, and the purpose of global optimal control is achieved; the application can adjust control parameters in real time according to the operation condition change of the generator set, overcomes the shortcoming of performance decline of the traditional fixed parameter control mode when the operation condition changes, and has strong robustness; and the application can significantly improve the adaptability, economy and reliability of automatic control of the gas turbine generator set.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power generation control, and particularly relates to an automatic control method, system and program product for a gas turbine generator set. BACKGROUND

[0002] The gas turbine generator set is a complete set of equipment taking a gas turbine as a core, driving an impeller to rotate through continuously flowing gas, converting fuel energy into mechanical energy, and then converting the mechanical energy into electric energy through a generator. The gas turbine generator set plays an important role in peak regulation and main power supply in a modern power system, and the automation control level thereof is directly related to the efficiency, reliability, emission level and service life of the set.

[0003] The traditional gas turbine generator set control mainly adopts a classic PID (proportion-integral-derivative) control method or a control method based on a fixed parameter model. Such a control method still has the following disadvantages: 1. unable to make prospective adjustment according to dynamic operation conditions of the set and a load change trend of a power grid, and poor foresight; 2. lack of global collaborative optimization, and difficult to realize optimal economic operation of the whole set; and 3. difficult to maintain an optimal state when operation conditions (such as ambient temperature, air pressure and load demand) of the set change, and poor robustness. SUMMARY

[0004] The application aims to provide an automatic control method, system and program product for a gas turbine generator set, so as to solve the above problems in the prior art.

[0005] In order to achieve the above-mentioned purpose, the application adopts the following technical solutions:

[0006] In a first aspect, an automatic control method for a gas turbine generator set is provided, comprising:

[0007] acquiring real-time state monitoring data, predicted load data and operation environment parameters of the gas turbine generator set, wherein the real-time state monitoring data comprises actual power generation speed and actual exhaust temperature at a current time, the predicted load data comprises a load prediction value at a next time, and the operation environment parameters comprise operation environment temperature and operation environment air pressure;

[0008] determining target power generation speed and target exhaust temperature at the next time according to the operation environment temperature, the operation environment air pressure and the load prediction value at the next time;

[0009] calculating a comprehensive deviation value and a deviation change rate by using the target power generation speed and the target exhaust temperature at the next time and the actual power generation speed and the actual exhaust temperature at the current time;

[0010] determining a basic adjustment coefficient based on the comprehensive deviation value and the deviation change rate;

[0011] The PID regulation parameters are calculated by using the basic regulation coefficient, and are sent to the PID controller of the gas turbine generator set, so that the PID controller controls the dynamic operation of the gas turbine generator set according to the PID regulation parameters.

[0012] In a possible design, the target power generation rotating speed and the target exhaust temperature at the next moment are determined according to the operating environment temperature, the operating environment pressure and the predicted load value at the next moment, and the determination includes:

[0013] The operating environment temperature, the operating environment pressure and the predicted load value at the next moment are substituted into the preset equivalent power calculation formula to obtain the equivalent power, and the equivalent power calculation formula is:

[0014]

[0015] Wherein, P d is the equivalent power, P r is the predicted load value at the next moment, σ is the temperature correction coefficient, δ is the pressure correction coefficient, T a is the operating environment temperature, and P a is the operating environment pressure.

[0016] The rotating speed regulation reference parameter and the gas temperature regulation reference parameter are determined based on the equivalent power.

[0017] The rotating speed regulation reference parameter is substituted into the rotating speed calculation formula to obtain the target power generation rotating speed at the next moment, and the rotating speed calculation formula is:

[0018]

[0019] Wherein, N t is the target power generation rotating speed, and N j is the rotating speed regulation reference parameter.

[0020] The gas temperature regulation reference parameter is substituted into the gas temperature calculation formula to obtain the target exhaust temperature at the next moment, and the gas temperature calculation formula is:

[0021]

[0022] Wherein, T t is the target exhaust temperature, T j is the gas temperature regulation reference parameter, K T is the set temperature compensation coefficient, and T b is the set reference environment temperature.

[0023] In a possible design, the rotating speed regulation reference parameter and the gas temperature regulation reference parameter are determined based on the equivalent power, and the determination includes:

[0024] 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;

[0025] 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.

[0026] 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:

[0027] 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.

[0028] 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.

[0029] 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.

[0030] In one possible design, determining the basic adjustment coefficient based on the comprehensive deviation value and the rate of change of deviation includes:

[0031] 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.

[0032] 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:

[0033]

[0034] Among them, K bis a base tuning coefficient, Q is a weight parameter, e is a comprehensive deviation value, f is a deviation change rate, sign(.) represents a sign function processing, tanh(.) represents a hyperbolic tangent function operation, and β is a set sensitivity parameter.

[0035] In one possible design, the PID tuning parameters include a proportional coefficient change ΔK p , an integral time change ΔT i , and a differential time change ΔT d .

[0036] In one possible design, the calculating the PID tuning parameters using the base tuning coefficient includes:

[0037] substituting the base tuning coefficient into a preset proportional coefficient change calculation formula to calculate a proportional coefficient change ΔK p , the proportional coefficient change calculation formula being:

[0038]

[0039] wherein K b is the base tuning coefficient, λ p is a set proportional coefficient weight parameter, and S p is a set proportional coefficient adjustment step;

[0040] substituting the base tuning coefficient into a preset integral time change calculation formula to calculate an integral time change ΔT i , the integral time change calculation formula being:

[0041]

[0042] wherein λ i is a set integral time weight parameter, and S i is a set integral time adjustment step;

[0043] substituting the base tuning coefficient into a preset differential time change calculation formula to calculate a differential time change ΔT d , the differential time change calculation formula being:

[0044]

[0045] wherein λ d is a set differential time weight parameter, and S d is a set differential time adjustment step.

[0046] In a second aspect, an automatic control system for a gas turbine generator set is provided, which comprises a data acquisition unit, a target estimation unit, a deviation determination unit, a coefficient determination unit, and a parameter control unit, wherein:

[0047] The data acquisition unit is configured to acquire real-time state monitoring data, predicted load data, and operating environment parameters of the gas turbine generator set, wherein the real-time state monitoring data comprises actual power generation speed and actual exhaust temperature at a current time point, the predicted load data comprises a predicted load value at a next time point, and the operating environment parameters comprise operating environment temperature and operating environment air pressure.

[0048] The target estimation unit is configured to determine target power generation speed and target exhaust temperature at the next time point according to the operating environment temperature, the operating environment air pressure, and the predicted load value at the next time point.

[0049] The deviation determination unit is configured to calculate a comprehensive deviation value and a deviation change rate by using the target power generation speed and the target exhaust temperature at the next time point and the actual power generation speed and the actual exhaust temperature at the current time point.

[0050] The coefficient determination unit is configured to determine a basic adjustment coefficient based on the comprehensive deviation value and the deviation change rate.

[0051] The parameter control unit is configured to calculate PID adjustment parameters by using the basic adjustment coefficient, and send the PID adjustment parameters to a PID controller of the gas turbine generator set, so that the PID controller performs dynamic operation control on the gas turbine generator set according to the PID adjustment parameters.

[0052] In a third aspect, an automatic control system for a gas turbine generator set is provided, which comprises:

[0053] A memory configured to store instructions;

[0054] A processor configured to read the instructions stored in the memory and execute the automatic control method for the gas turbine generator set according to any one of the first aspect.

[0055] In a fourth aspect, a computer readable storage medium is provided, which stores instructions, and when the instructions are executed on a computer, the computer executes the automatic control method for the gas turbine generator set according to any one of the first aspect. Meanwhile, a computer program product is also provided, which executes the automatic control method for the gas turbine generator set according to any one of the first aspect when the computer program product is executed on a computer.

[0056] Beneficial effects: the application carries out dynamic calculation of PID regulating parameters by acquiring the operation condition data and load prediction data of the gas turbine generator set, so that the PID controller can perform dynamic operation control on the gas turbine generator set, which can ensure that the generator set always maintains the optimal economic operation state, realizes the leap from 'passive response' to 'active optimization', has good predictability, and can achieve the purpose of global optimal control; the application can adjust the control parameters in real time according to the working condition change of the generator set, which overcomes the performance decline of the traditional fixed parameter control mode when the working condition changes, and has strong robustness; the application can significantly improve the adaptability, economy and reliability of the automatic control of the gas turbine generator set. BRIEF DESCRIPTION OF DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0058] Figure 1 It is a flowchart of the method in embodiment 1 of the present application.

[0059] Figure 2 It is a schematic diagram of the system in embodiment 2 of the present application.

[0060] Figure 3 It is a schematic diagram of the system in embodiment 3 of the present application. DETAILED DESCRIPTION

[0061] It should be noted that the description of these embodiments is used to help understand the present application, but does not constitute a limitation of the present application. The specific structure and functional details disclosed herein are only used to describe the example embodiments of the present application. However, the present application can be embodied in many alternative forms, and should not be understood as limited in the embodiments set forth herein.

[0062] It should be understood that, unless otherwise explicitly specified and limited, the corresponding terms should be broadly understood, for example, 'connection' can be fixed connection, or detachable connection, or integrally connected; can be directly connected, or indirectly connected through intermediate medium, or internal communication of two elements. For those skilled in the art, the specific meaning of the above terms in the embodiments can be understood according to the specific circumstances.

[0063] In the following description, specific details are provided to facilitate a full understanding of the example embodiments. However, a person of ordinary skill in the art will understand that the example embodiments can be practiced without these specific details. For example, devices can be shown in block diagram form to avoid obscuring the examples. In other instances, well-known processes, structures, and techniques have not been shown in detail to avoid obscuring the examples.

[0064] Embodiment 1

[0065] The embodiment provides an automatic control method of a gas turbine generator set, which can be applied to a corresponding gas turbine generator set control system, such as Figure 1 As shown in the figure, the method comprises the following steps:

[0066] S1. Obtain real-time state monitoring data, predicted load data, and operating environment parameters of the gas turbine generator set, wherein the real-time state monitoring data comprises actual power generation speed and actual exhaust temperature at the current time, the predicted load data comprises load prediction value at the next time, and the operating environment parameters comprise operating environment temperature and operating environment air pressure.

[0067] In specific implementation, the control system first obtains real-time state monitoring data, predicted load data, and operating environment parameters of the gas turbine generator set, wherein the real-time state monitoring data comprises actual power generation speed and actual exhaust temperature at the current time, the predicted load data comprises load prediction value at the next time, and the operating environment parameters comprise operating environment temperature and operating environment air pressure.

[0068] S2. Determine target power generation speed and target exhaust temperature at the next time according to the operating environment temperature, the operating environment air pressure, and the load prediction value at the next time.

[0069] In specific implementation, the control system substitutes the operating environment temperature, the operating environment air pressure, and the load prediction value at the next time into a preset equivalent power formula to obtain equivalent power, wherein the equivalent power formula is:

[0070]

[0071] wherein P d is the equivalent power, P r is the load prediction value at the next time, σ is a temperature correction coefficient, δ is a pressure correction coefficient, T a is the operating environment temperature (℃), and P a is the operating environment air pressure (kPa).

[0072] Determine speed adjustment reference parameters and temperature adjustment reference parameters based on the equivalent power, comprising: adjusting the equivalent power P d ​A linear fitting calculation is performed to obtain a rotation speed adjustment reference parameter N j , N j =A×P d +B, where A and B are respectively a first linear fitting coefficient and a second linear fitting coefficient set by the user; a quadratic polynomial fitting calculation is performed on the equivalent power P d to obtain a gas temperature adjustment reference parameter T j , T j =C×(P d ) 2 +D×P d +E, where C, D and E are respectively a first polynomial fitting coefficient, a second polynomial fitting coefficient and a third polynomial fitting coefficient set by the user;

[0073] The rotation speed adjustment reference parameter is substituted into a rotation speed calculation formula to obtain a target power generation rotation speed at the next moment, the rotation speed calculation formula being:

[0074]

[0075] where N t is the target power generation rotation speed, and N j is the rotation speed adjustment reference parameter;

[0076] The gas temperature adjustment reference parameter is substituted into a gas temperature calculation formula to obtain a target exhaust gas temperature at the next moment, the gas temperature calculation formula being:

[0077]

[0078] where T t is the target exhaust gas temperature, T j is the gas temperature adjustment reference parameter, T b is a reference ambient temperature set by the user (for example, 15), and K T is a temperature compensation coefficient set by the user (determined by the characteristics of the unit, which is an empirical value or obtained through manufacturer data, for example, K T =0.5 means that the target exhaust gas temperature set value is increased by 0.5℃ for every 1℃ increase in the operating environment temperature, to compensate for performance degradation).

[0079] S3. A comprehensive deviation value and a deviation change rate are calculated using the target power generation rotation speed and the target exhaust gas temperature at the next moment and the actual power generation rotation speed and the actual exhaust gas temperature at the current moment.

[0080] In specific implementation, the control system obtains a speed deviation by subtracting the actual power generation speed at the current time from the target power generation speed at the next time, and obtains a temperature deviation by subtracting the target exhaust temperature at the next time from the actual exhaust temperature at the current time; then the speed deviation and the temperature deviation are normalized respectively, and the normalized speed deviation and the normalized temperature deviation are weighted and summed to obtain a comprehensive deviation value; finally, the comprehensive deviation value is divided by the time interval from the current time to the next time to obtain a deviation change rate.

[0081] S4. Determine a basic adjustment coefficient based on the comprehensive deviation value and the deviation change rate.

[0082] In specific implementation, the control system substitutes the comprehensive deviation value into a preset weight parameter table to match and determine a corresponding weight parameter, the weight parameter table contains a plurality of comprehensive deviation value intervals and weight parameters corresponding to each comprehensive deviation value interval, for example, the weight parameter corresponding to the comprehensive deviation value interval (0-0.25) is 0, the weight parameter corresponding to the comprehensive deviation value interval [0.25-0.5) is 1, and so on.

[0083] Then the weight parameter, the comprehensive deviation value and the deviation change rate are substituted into a preset basic adjustment coefficient formula to calculate the basic adjustment coefficient, the basic adjustment coefficient formula is:

[0084]

[0085] wherein, K b is the basic adjustment coefficient, Q is the weight parameter, e is the comprehensive deviation value, f is the deviation change rate, sign(.) represents sign function processing, tanh(.) represents hyperbolic tangent function operation, and β is a set sensitivity parameter.

[0086] S5. Calculate PID adjustment parameters using the basic adjustment coefficient, and send the PID adjustment parameters to a PID controller of the gas turbine generator set, so that the PID controller controls the dynamic operation of the gas turbine generator set according to the PID adjustment parameters.

[0087] In specific implementation, the PID adjustment parameters include a proportional coefficient change amount ΔK p , an integral time change amount ΔT i and a differential time change amount ΔT d . When calculating the PID adjustment parameters using the basic adjustment coefficient, the control system substitutes the basic adjustment coefficient into a preset proportional coefficient change amount formula to calculate the proportional coefficient change amount ΔK p , the proportional coefficient change amount formula is:

[0088]

[0089] 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:

[0090]

[0091] 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:

[0092]

[0093] Where, λ d S is the set differential time weight parameter. d Adjust the step size for the set differential time.

[0094] 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 .

[0095] The method can ensure that the generator set always maintains the optimal economic operation state, realizes the leap from "passive response" to "active optimization", has good predictability, and can achieve the purpose of global optimal control; at the same time, the control parameters can be adjusted in real time according to the working condition changes of the generator set, overcoming the performance decline of the traditional fixed parameter control mode when the working condition changes, and having strong robustness. The method can significantly improve the adaptability, economy and reliability of the automatic control of the gas turbine generator set.

[0096] Embodiment 2

[0097] The embodiment provides a kind of gas turbine generator set automatic control system, as shown in Figure 2 It includes data acquisition unit, target estimation unit, deviation determination unit, coefficient determination unit and parameter control unit, wherein:

[0098] Data acquisition unit, for obtaining the real-time state monitoring data of gas turbine generator set, predicted load data and operating environment parameters, the real-time state monitoring data includes the actual power generation speed and actual exhaust temperature at the current time, the predicted load data includes the load prediction value at the next time, and the operating environment parameters include operating environment temperature and operating environment air pressure;

[0099] Target estimation unit, for determining the target power generation speed and target exhaust temperature at the next time according to operating environment temperature, operating environment air pressure and load prediction value at the next time;

[0100] Deviation determination unit, for calculating the comprehensive deviation value and deviation change rate by using the target power generation speed and target exhaust temperature at the next time and the actual power generation speed and actual exhaust temperature at the current time;

[0101] Coefficient determination unit, for determining the basic adjustment coefficient based on the comprehensive deviation value and the deviation change rate;

[0102] Parameter control unit, for calculating PID adjustment parameters using the basic adjustment coefficient, and sending the PID adjustment parameters to the PID controller of the gas turbine generator set, so that the PID controller controls the dynamic operation of the gas turbine generator set according to the PID adjustment parameters.

[0103] Embodiment 3

[0104] The embodiment provides a kind of gas turbine generator set automatic control system, as shown in Figure 3 At the hardware level, it includes:

[0105] Data interface, for establishing data connection between processor and external data terminal;

[0106] Memory, for storing instructions;

[0107] a processor configured to read instructions stored in the memory and perform the method of automatically controlling the gas turbine generator set according to the instructions.

[0108] Optionally, the system further comprises an internal bus, and the processor, the memory and the data interface are connected to each other through the internal bus. The internal bus can be a Peripheral Component Interconnect Eexpress (PCIe) bus, and the bus can be divided into an address bus, a data bus, a control bus, etc. The memory can include, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Flash Memory, a First Input First Output (FIFO) memory and / or a First In Last Out (FILO) memory, etc. The processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc. The processor can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component.

[0109] Embodiment 4:

[0110] The embodiment provides a computer readable storage medium, and instructions are stored on the computer readable storage medium. When the instructions are run on a computer, the computer is caused to perform the method of automatically controlling the gas turbine generator set according to the instructions in Embodiment 1. The computer readable storage medium is a carrier for storing data, and can include, but is not limited to, a floppy disk, a compact disc, a hard disk, a flash memory, a USB flash disk and / or a Memory Stick, etc. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device.

[0111] The embodiment also provides a computer program product, and when the computer program product is run on a computer, the method of automatically controlling the gas turbine generator set according to the instructions in Embodiment 1 is performed. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device.

[0112] It should be pointed out finally that the above only describes the preferred embodiments of the present application and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

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 time period are determined based on the ambient temperature, ambient air pressure, and the load forecast for the next time period, including: 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; 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: 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; 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 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.

3. 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 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: 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.

4. 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 .

5. The automated control method for a gas turbine generator set according to claim 4, 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.

6. 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 time step based on the ambient temperature, ambient air pressure, and the load forecast for the next time step, including: 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; 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: 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; 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.

7. 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 1-5.

8. 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 1-5.

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