Power plant automatic control method, system and program product based on fault detection

Abstract

The present application belongs to the technical field of power generation control, and specifically discloses a power generation equipment automatic control method, system and program product based on fault detection. The method comprises the following steps: constructing a load power time sequence by sampling power generation output monitoring data of the power generation equipment; detecting a load fault by using the load power time sequence; determining a load abnormality type; when it is determined that a load abnormality fluctuation occurs, obtaining PID control parameters through steady-state response calculation and parameter automatic setting, so that the PID controller performs steady-state control on the power generation equipment according to the PID control parameters, which can significantly improve the timeliness, adaptability and reliability of the power generation equipment automatic control under abnormal load conditions. Compared with the traditional power generation equipment automatic control method, the present application has the advantages of fast response speed, strong dynamic adaptability and high robustness, and is especially suitable for dynamic stable operation control of the power generation equipment under abnormal load characteristics.

Description

Technical Field

[0001] This invention belongs to the field of power generation control technology, specifically relating to automatic control methods, systems, and program products for power generation equipment based on fault detection. Background Technology

[0002] Gas turbine power generation equipment is a complete set of equipment that uses a gas turbine as its core. It converts fuel energy into mechanical energy by driving the impeller to rotate through a continuous flow of gas, and then converts the mechanical energy into electrical energy through a generator. Gas turbine power generation equipment plays a crucial role in peak shaving and main power supply in modern power systems. Its level of automation control directly affects the equipment's efficiency, reliability, emissions levels, and lifespan.

[0003] Traditional power generation equipment 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. Insufficient response speed: When facing variable loads, the fixed parameters lead to adjustment lag, making rapid tracking control difficult and potentially causing system oscillations or overshoot. 2. PID control parameters require manual tuning, but the load characteristics of power generation equipment may change, and static parameters cannot adapt to the dynamic process, resulting in decreased control performance. 3. When load conditions change, the original PID control parameters may become ineffective, exhibiting poor robustness. Summary of the Invention

[0004] The purpose of this invention is to provide an automatic control method, system, and program product for power generation equipment based on fault detection, so as to solve the above-mentioned problems existing in the prior art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] Firstly, a fault detection-based automatic control method for power generation equipment is provided, including:

[0007] Acquire power generation output monitoring data of the power generation equipment at the current sampling time, wherein the power generation output monitoring data includes load power;

[0008] Retrieve the load power of the power generation equipment at each historical sampling time before the current sampling time, and summarize the load power at each historical sampling time and the load power at the current sampling time in chronological order to obtain the load power time series.

[0009] The load power timing sequence is input into a preset load fault detection model to perform load fault detection and obtain the corresponding load fault detection results.

[0010] When determining that an abnormal load fluctuation has occurred based on the load fault detection results, the steady-state response factor is calculated using the load power at the current sampling time;

[0011] Determine the steady-state response characteristic parameters based on the steady-state response factor;

[0012] The initial PID parameters are calculated using the steady-state response characteristic parameters, and the final PID control parameters are determined based on the initial PID parameters.

[0013] The final PID control parameters are sent to the PID controller of the power generation equipment so that the PID controller can dynamically control the operation of the power generation equipment according to the PID control parameters.

[0014] In one possible design, the method further includes:

[0015] When it is determined that there is an overload situation based on the load fault detection results, the load rate is obtained by dividing the load power at the current sampling time by the rated power of the power generation equipment.

[0016] When the load rate is greater than the upper limit of the load rate but less than the first critical value, a load reduction command is output. When the load rate is greater than or equal to the first critical value, a shutdown command is output. The first critical value is higher than the upper limit of the load rate.

[0017] In one possible design, the method further includes:

[0018] When a load failure is detected and it is determined that the load is too low, the load rate is obtained by dividing the load power at the current sampling time by the rated power of the generating equipment.

[0019] When the load rate is less than the lower limit of the load rate but greater than the second critical value, an increase load command is output. When the load rate is less than or equal to the second critical value, a dummy load access command is output. The second critical value is lower than the lower limit of the load rate.

[0020] In one possible design, the load fault detection model employs a trained and tested LSTM model.

[0021] In one possible design, the calculation of the steady-state response factor using the load power at the current sampling moment includes:

[0022] The load power at the current sampling moment is substituted into the preset steady-state response factor formula for calculation to obtain the corresponding steady-state response factor. The steady-state response factor formula is as follows:

[0023]

[0024] Where X is the steady-state response factor, P F P represents the load power at the current sampling time. E Q is the rated power of the power generation equipment. min Q is the set lower limit of the load factor. maxThis is the upper limit of the set load rate.

[0025] In one possible design, determining the steady-state response characteristic parameters based on the steady-state response factor includes:

[0026] The steady-state response factors are substituted into a preset response parameter table for matching to determine the corresponding steady-state gain parameter K, lag time L, and time constant T. The steady-state response characteristic parameters are then formed using the corresponding steady-state gain parameter K, lag time L, and time constant T. The response parameter table is pre-configured with several steady-state response factor intervals and the steady-state gain parameter, lag time, and time constant associated with each steady-state response factor interval.

[0027] In one possible design, the calculation of initial PID parameters using steady-state response characteristic parameters, and the determination of final PID control parameters based on the initial PID parameters, includes:

[0028] The steady-state gain parameter K, lag time L, and time constant T, which are included in the steady-state response characteristic parameters, are substituted into the preset initial PID parameter calculation model for calculation to obtain the proportional gain, integral time, and derivative time. The initial PID parameter calculation model is as follows:

[0029]

[0030] Among them, K p For proportional gain, T i Let T be the integration time. d For the differential time, C1, C2, and C3 are the set first, second, and third tuning coefficients, respectively;

[0031] Using the proportional gain K p and integration time T i Calculate the integral gain K i K i =K p / T i Using proportional gain K p and differential time T d Calculate the differential gain K d K d =K p ×T d ;

[0032] Using proportional gain K p Integral gain K i and differential gain K d These parameters form the final PID control parameters.

[0033] Secondly, an automatic control system for power generation equipment based on fault detection is provided, including a data acquisition unit, a timing construction unit, a fault detection unit, a steady-state response unit, a parameter determination unit, a parameter calculation unit, and an operation control unit, wherein:

[0034] The data acquisition unit is used to acquire the power generation output monitoring data of the power generation equipment at the current sampling time, wherein the power generation output monitoring data includes the load power;

[0035] The timing construction unit is used to retrieve the load power of the power generation equipment at each historical sampling time before the current sampling time, and summarize the load power at each historical sampling time and the load power at the current sampling time in chronological order to obtain the load power timing sequence.

[0036] The fault detection unit is used to input the load power time sequence into a preset load fault detection model to perform load fault detection and obtain the corresponding load fault detection results.

[0037] The steady-state response unit is used to calculate the steady-state response factor using the load power at the current sampling time when it is determined that an abnormal load fluctuation has occurred based on the load fault detection results.

[0038] The parameter determination unit is used to determine the steady-state response characteristic parameters based on the steady-state response factor.

[0039] The parameter calculation unit is used to calculate the initial PID parameters using the steady-state response characteristic parameters, and to determine the final PID control parameters based on the initial PID parameters.

[0040] The operation control unit is used to send the final PID control parameters to the PID controller of the power generation equipment, so that the PID controller can dynamically control the operation of the power generation equipment according to the PID control parameters.

[0041] Thirdly, it provides an automatic control system for power generation equipment based on fault detection, including:

[0042] Memory, used to store instructions;

[0043] A processor is configured to read instructions stored in the memory and execute any of the fault detection-based automatic control methods for power generation equipment described in the first aspect above, according to the instructions.

[0044] 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 fault detection-based automatic control methods for power generation equipment described in the first aspect. Simultaneously, a computer program product is also provided, which, when executed on a computer, performs any one of the fault detection-based automatic control methods for power generation equipment described in the first aspect.

[0045] Beneficial Effects: This invention constructs a load power time series by sampling power output monitoring data from power generation equipment. It then uses this time series for load fault detection to determine the type of load anomaly. When abnormal load fluctuations are detected, PID control parameters are obtained through steady-state response calculation and automatic parameter tuning. This allows the PID controller to perform steady-state control of the power generation equipment based on these parameters, significantly improving the timeliness, adaptability, and reliability of automated control of power generation equipment under abnormal load conditions. Compared to traditional automatic control methods for power generation equipment, this invention offers advantages such as fast response speed, strong dynamic adaptability, and high robustness, making it particularly suitable for the dynamic and stable operation control of power generation equipment under abnormal load characteristics. Attached Figure Description

[0046] 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.

[0047] Figure 1 This is a flowchart illustrating the method in Embodiment 1 of the present invention;

[0048] Figure 2 This is a schematic diagram of the system configuration in Embodiment 2 of the present invention;

[0049] Figure 3 This is a schematic diagram of the system configuration in Embodiment 3 of the present invention. Detailed Implementation

[0050] 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.

[0051] 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.

[0052] 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.

[0053] Example 1:

[0054] This embodiment provides an automatic control method for power generation equipment based on fault detection, which can be applied to corresponding power generation equipment control systems, such as... Figure 1 As shown, the method includes the following steps:

[0055] S1. Obtain the power generation output monitoring data of the power generation equipment at the current sampling time, wherein the power generation output monitoring data includes load power.

[0056] In practice, the control system first acquires the power generation output monitoring data of the power generation equipment at the current sampling time. The power generation output monitoring data includes load power, and may also include power factor, three-phase voltage / current, frequency, etc.

[0057] S2. Retrieve the load power of the power generation equipment at each historical sampling time before the current sampling time, and summarize the load power at each historical sampling time and the load power at the current sampling time in chronological order to obtain the load power time sequence.

[0058] In practice, after determining the load power at the current sampling time, the control system can retrieve the load power of the power generation equipment at each historical sampling time before the current sampling time (the system saves the load power obtained from each previous sampling in advance), and then summarize the load power at each historical sampling time and the load power at the current sampling time in chronological order to obtain the load power time sequence.

[0059] S3. Input the load power timing sequence into the preset load fault detection model to perform load fault detection and obtain the corresponding load fault detection results.

[0060] In practice, the control system inputs the load power time series data into a pre-set load fault detection model for load fault detection, obtaining the corresponding load fault detection results. The load fault detection model can be a trained and tested LSTM (Long Short-Term Memory) model. For example, the LSTM model includes an input layer (e.g., the load power time series data from the past hour, with a time step of 2 minutes), a hidden layer (containing 2-3 layers of LSTM units, such as 64 / 128 nodes, with the activation function tanh), and an output layer (a linear activation function predicting the load fault type). During training and testing, a pre-labeled load power time series sample set can be used, divided into a training set and a test set in a 7:3 ratio.

[0061] S4. When it is determined that there is an abnormal load fluctuation based on the load fault detection results, the steady-state response factor is calculated using the load power at the current sampling time.

[0062] In practice, when the control system determines that an overload has occurred based on the load fault detection results, it first divides the load power at the current sampling time by the rated power of the generating equipment to obtain the load factor. When the load factor is greater than the upper limit but less than the first critical value, a load reduction command is output to reduce the load on the load side. When the load factor is greater than or equal to the first critical value, a shutdown command is output to trip the main circuit breaker, cut off the output, and shut down the generating equipment. The first critical value is higher than the upper limit of the load factor.

[0063] When the control system determines that the load is too low based on the load fault detection results, it first divides the load power at the current sampling time by the rated power of the generating equipment to obtain the load factor. When the load factor is less than the lower limit of the load factor but greater than the second critical value, it outputs a load increase command to increase the load on the load side. When the load factor is less than or equal to the second critical value, it outputs a dummy load connection command to connect the generating equipment to a dummy load box to consume excess power. The second critical value is lower than the lower limit of the load factor.

[0064] When the control system determines that an abnormal load fluctuation has occurred based on the load fault detection results, it can calculate the steady-state response factor using the load power at the current sampling time. This involves substituting the load power at the current sampling time into a preset steady-state response factor formula to obtain the corresponding steady-state response factor. The steady-state response factor formula is as follows:

[0065]

[0066] Where X is the steady-state response factor, P F P represents the load power at the current sampling time. E Q is the rated power of the power generation equipment. min Q is the set lower limit of the load factor. maxThis is the upper limit of the set load rate.

[0067] S5. Determine the steady-state response characteristic parameters based on the steady-state response factor.

[0068] In practical implementation, after determining the steady-state response factor, the control system can substitute the steady-state response factor into a preset response parameter table for matching, and determine the corresponding steady-state gain parameter K, lag time L, and time constant T. The corresponding steady-state gain parameter K, lag time L, and time constant T are then used to form steady-state response characteristic parameters. The response parameter table is pre-configured with several steady-state response factor intervals and the steady-state gain parameter, lag time, and time constant associated with each interval. The configuration of the response parameter table can be pre-determined through a step test, i.e., by constructing a first-order plus pure lag model to simulate abnormal load fluctuations in the power generation equipment, to determine the steady-state response characteristic parameters from each abnormal load fluctuation point to the steady-state load transition under optimal control conditions. Here, the steady-state gain parameter K represents the steady-state change in the power generation equipment speed / throttle opening, the lag time L represents the time from the start of the step to the equipment producing a significant response, and the time constant T represents the time required for the equipment response to reach 63.2% of the steady-state value minus the lag time L.

[0069] S6. Calculate the initial PID parameters using the steady-state response characteristic parameters, and determine the final PID control parameters based on the initial PID parameters.

[0070] In specific implementation, after determining the steady-state response characteristic parameters, the control system substitutes the steady-state gain parameter K, lag time L, and time constant T contained in the steady-state response characteristic parameters into a preset initial PID parameter calculation model for calculation, to obtain the proportional gain, integral time, and derivative time. The initial PID parameter calculation model is as follows:

[0071]

[0072] Among them, K p For proportional gain, T i Let T be the integration time. d For the differential time, C1, C2, and C3 are the first, second, and third tuning coefficients, respectively. For example, based on existing tuning experience and prior knowledge, C1 can be set to 1.2, C2 can be set to 2, and C3 can be set to 0.5.

[0073] Then use the proportional gain K p and integration time T i Calculate the integral gain K i K i =K p / T i Using proportional gain K pand differential time T d Calculate the differential gain K d K d =K p ×T d Finally, the proportional gain K is utilized. p Integral gain K i and differential gain K d These parameters form the final PID control parameters.

[0074] S7. Send the final PID control parameters to the PID controller of the power generation equipment so that the PID controller can dynamically control the operation of the power generation equipment according to the PID control parameters.

[0075] In practice, the control system sends the final PID control parameters to the PID controller of the power generation equipment, so that the PID controller can dynamically control the operation of the power generation equipment according to the PID control parameters, thereby achieving steady-state control of the power generation equipment under abnormal load fluctuations.

[0076] Compared with traditional automatic control methods for power generation equipment, this method has the advantages of fast response speed, strong dynamic adaptability and high robustness. It is especially suitable for dynamic and stable operation control of power generation equipment under abnormal load conditions, and can significantly improve the timeliness, adaptability and reliability of automatic control of power generation equipment under abnormal load conditions.

[0077] Example 2:

[0078] This embodiment provides an automatic control system for power generation equipment based on fault detection, such as... Figure 2 As shown, it includes a data acquisition unit, a timing construction unit, a fault detection unit, a steady-state response unit, a parameter determination unit, a parameter calculation unit, and an operation control unit, wherein:

[0079] The data acquisition unit is used to acquire the power generation output monitoring data of the power generation equipment at the current sampling time, wherein the power generation output monitoring data includes the load power;

[0080] The timing construction unit is used to retrieve the load power of the power generation equipment at each historical sampling time before the current sampling time, and summarize the load power at each historical sampling time and the load power at the current sampling time in chronological order to obtain the load power timing sequence.

[0081] The fault detection unit is used to input the load power time sequence into a preset load fault detection model to perform load fault detection and obtain the corresponding load fault detection results.

[0082] The steady-state response unit is used to calculate the steady-state response factor using the load power at the current sampling time when it is determined that an abnormal load fluctuation has occurred based on the load fault detection results.

[0083] The parameter determination unit is used to determine the steady-state response characteristic parameters based on the steady-state response factor.

[0084] The parameter calculation unit is used to calculate the initial PID parameters using the steady-state response characteristic parameters, and to determine the final PID control parameters based on the initial PID parameters.

[0085] The operation control unit is used to send the final PID control parameters to the PID controller of the power generation equipment, so that the PID controller can dynamically control the operation of the power generation equipment according to the PID control parameters.

[0086] Example 3:

[0087] This embodiment provides an automatic control system for power generation equipment based on fault detection, such as... Figure 3 As shown, at the hardware level, it includes:

[0088] The data interface is used to establish data communication between the processor and external data terminals;

[0089] Memory, used to store instructions;

[0090] The processor is used to read instructions stored in the memory and execute the automatic control method for power generation equipment based on fault detection in Embodiment 1 according to the instructions.

[0091] 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.

[0092] Example 4:

[0093] This embodiment provides a computer-readable storage medium storing instructions. When these instructions are executed on a computer, the computer performs the automatic control method for power generation equipment based on fault detection 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.

[0094] This embodiment also provides a computer program product that, when run on a computer, executes the automatic control method for power generation equipment based on fault detection in Embodiment 1. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0095] 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 automatic control method for power generation equipment based on fault detection, characterized in that, include: Acquire power generation output monitoring data of the power generation equipment at the current sampling time, wherein the power generation output monitoring data includes load power; Retrieve the load power of the power generation equipment at each historical sampling time before the current sampling time, and summarize the load power at each historical sampling time and the load power at the current sampling time in chronological order to obtain the load power time series. The load power timing sequence is input into a preset load fault detection model to perform load fault detection and obtain the corresponding load fault detection results. When a load abnormality fluctuation is determined based on the load fault detection results, the steady-state response factor is calculated using the load power at the current sampling time. This includes substituting the load power at the current sampling time into a preset steady-state response factor formula to obtain the corresponding steady-state response factor. The steady-state response factor formula is as follows: Where X is the steady-state response factor, P F P represents the load power at the current sampling time. E Q is the rated power of the power generation equipment. min Q is the set lower limit of the load factor. max The upper limit of the set load rate; Determining steady-state response characteristic parameters based on steady-state response factors includes: substituting the steady-state response factors into a preset response parameter table for matching, determining the corresponding steady-state gain parameter K, lag time L, and time constant T, and using the corresponding steady-state gain parameter K, lag time L, and time constant T to form steady-state response characteristic parameters. The response parameter table is pre-configured with several steady-state response factor intervals and the steady-state gain parameter, lag time, and time constant associated with each steady-state response factor interval. The initial PID parameters are calculated using the steady-state response characteristic parameters, and the final PID control parameters are determined based on the initial PID parameters. The final PID control parameters are sent to the PID controller of the power generation equipment so that the PID controller can dynamically control the operation of the power generation equipment according to the PID control parameters.

2. The automatic control method for power generation equipment based on fault detection according to claim 1, characterized in that, The method further includes: When it is determined that there is an overload situation based on the load fault detection results, the load rate is obtained by dividing the load power at the current sampling time by the rated power of the power generation equipment. When the load rate is greater than the upper limit of the load rate but less than the first critical value, a load reduction command is output. When the load rate is greater than or equal to the first critical value, a shutdown command is output. The first critical value is higher than the upper limit of the load rate.

3. The automatic control method for power generation equipment based on fault detection according to claim 1, characterized in that, The method further includes: When a load failure is detected and it is determined that the load is too low, the load rate is obtained by dividing the load power at the current sampling time by the rated power of the generating equipment. When the load rate is less than the lower limit of the load rate but greater than the second critical value, an increase load command is output. When the load rate is less than or equal to the second critical value, a dummy load access command is output. The second critical value is lower than the lower limit of the load rate.

4. The automatic control method for power generation equipment based on fault detection according to claim 1, characterized in that, The load fault detection model uses a trained and tested LSTM model.

5. The automatic control method for power generation equipment based on fault detection according to claim 1, characterized in that, The process of calculating initial PID parameters using steady-state response characteristic parameters and determining final PID control parameters based on these initial PID parameters includes: The steady-state gain parameter K, lag time L, and time constant T, which are included in the steady-state response characteristic parameters, are substituted into the preset initial PID parameter calculation model for calculation to obtain the proportional gain, integral time, and derivative time. The initial PID parameter calculation model is as follows: Among them, K p For proportional gain, T i Let T be the integration time. d For the differential time, C1, C2, and C3 are the set first, second, and third tuning coefficients, respectively; Using the proportional gain K p and integration time T i Calculate the integral gain K i K i =K p / T i Using proportional gain K p and differential time T d Calculate the differential gain K d K d =K p ×T d ; Using proportional gain K p Integral gain K i and differential gain K d These parameters form the final PID control parameters.

6. An automatic control system for power generation equipment based on fault detection, characterized in that, It includes a data acquisition unit, a timing construction unit, a fault detection unit, a steady-state response unit, a parameter determination unit, a parameter calculation unit, and an operation control unit, wherein: The data acquisition unit is used to acquire the power generation output monitoring data of the power generation equipment at the current sampling time, wherein the power generation output monitoring data includes the load power; The time series construction unit is used to retrieve the load power of the power generation equipment at each historical sampling time before the current sampling time, and summarize the load power at each historical sampling time and the load power at the current sampling time in chronological order to obtain the load power time series. The fault detection unit is used to input the load power time sequence into a preset load fault detection model to perform load fault detection and obtain the corresponding load fault detection results. A steady-state response unit is used to calculate a steady-state response factor using the load power at the current sampling time when an abnormal load fluctuation is determined based on the load fault detection results. This includes substituting the load power at the current sampling time into a preset steady-state response factor formula to obtain the corresponding steady-state response factor. The steady-state response factor formula is as follows: Where X is the steady-state response factor, P F P represents the load power at the current sampling time. E Q is the rated power of the power generation equipment. min Q is the set lower limit of the load factor. max The upper limit of the set load rate; The parameter determination unit is used to determine steady-state response characteristic parameters based on steady-state response factors, including: substituting the steady-state response factors into a preset response parameter table for matching, determining the corresponding steady-state gain parameter K, lag time L, and time constant T, and using the corresponding steady-state gain parameter K, lag time L, and time constant T to form steady-state response characteristic parameters. The response parameter table is pre-configured with several steady-state response factor intervals and the steady-state gain parameter, lag time, and time constant associated with each steady-state response factor interval. The parameter calculation unit is used to calculate the initial PID parameters using the steady-state response characteristic parameters, and to determine the final PID control parameters based on the initial PID parameters. The operation control unit is used to send the final PID control parameters to the PID controller of the power generation equipment, so that the PID controller can dynamically control the operation of the power generation equipment according to the PID control parameters.

7. An automatic control system for power generation equipment based on fault detection, characterized in that, include: Memory, used to store instructions; A processor is configured to read instructions stored in the memory and execute the automatic control method for power generation equipment based on fault detection as described in any one of claims 1-5 according to the instructions.

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 power generation equipment based on fault detection as described in any one of claims 1-5.

Images