Steam turbine optimization control method, system and equipment based on boiler-turbine-network coordination and storage medium

Abstract

The invention discloses a steam turbine optimization control method, system and device based on boiler, turbine and power grid coordination and a storage medium. The method comprises the following steps that boiler operation data, steam turbine operation data and power grid operation data are obtained; calculating to obtain a boiler load adjustment total amount, and calculating to obtain a steam turbine main steam pressure set value and a steam turbine power set value based on the boiler load adjustment total amount; monitoring the bed temperature change rate and the main steam pressure change rate of the boiler; and under the condition that the bed temperature change rate is smaller than a first preset threshold value and the main steam pressure change rate is smaller than a second preset threshold value, the steam turbine main steam pressure set value and the steam turbine power set value are issued to a steam turbine digital electro-hydraulic control system. Efficient and stable operation of the steam turbine is achieved, the energy utilization efficiency is improved, and the stability and reliability of the system are enhanced.

Description

Technical Field

[0001] The present invention belongs to the field of steam turbine control and relates to a steam turbine optimization control method, system, equipment and storage medium based on boiler-machine network coordination. Background Art

[0002] With the increasing proportion of large-capacity coal-fired units and the expansion of renewable energy grid integration, power system stability issues are becoming increasingly prominent. In actual operation, steam turbines are affected by multiple factors, including boiler steam supply, grid load demand, and the equipment's own status. Traditional steam turbine control has the following drawbacks: First, there is a delay in responding to dynamic changes in boiler steam parameters, resulting in large errors in matching steam intake volume and steam quality, and a significant loss in thermal efficiency; second, when grid load fluctuates, the steam turbine's load adjustment strategy is not optimized, which can easily lead to unit oscillation risks; third, the independent operation of each subsystem lacks coordination, and there is a lack of overall coordinated control of the system. Summary of the Invention

[0003] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a steam turbine optimization control method, system, equipment and storage medium based on boiler-machine network coordination to achieve efficient and stable operation of the steam turbine, improve energy utilization efficiency, and enhance the stability and reliability of the system.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions: A steam turbine optimization control method based on boiler-machine network coordination is characterized by comprising the following processes: Obtain boiler operation data, steam turbine operation data and power grid operation data; Calculate the total boiler load adjustment based on the acquired boiler operating data, turbine operating data, and power grid operating data, and calculate the turbine main steam pressure set value and turbine power set value based on the total boiler load adjustment; Monitor the boiler bed temperature change rate and main steam pressure change rate; Under the condition that the bed temperature change rate is less than a first preset threshold and the main steam pressure change rate is less than a second preset threshold, the turbine main steam pressure set value and the turbine power set value are sent to the turbine digital electro-hydraulic control system.

[0005] Preferably, the process of calculating the total amount of boiler load adjustment is: determining the total amount of boiler load adjustment based on the flow change of the heat network user sub-meter, the turbine back pressure change, the large user pressure change and the end user pressure change.

[0006] Preferably, the process of calculating the turbine main steam pressure set value and the turbine power set value is: determining the turbine main steam pressure set value based on the total boiler load adjustment, the turbine steam inlet flow rate and the grid frequency; determining the turbine power set value based on the total boiler load adjustment, the turbine back pressure and the grid load demand.

[0007] Preferably, before calculating the total amount of boiler load adjustment, mean filtering is performed on the acquired boiler operation data, steam turbine operation data and power grid operation data.

[0008] Preferably, the number of boilers in operation is determined based on the total amount of boiler load adjustment, and load set values ​​or main steam pressure set values ​​are allocated to boilers in automatic control operation.

[0009] Preferably, the load setting value of the desuperheater and pressure reducer and the target opening value of the desuperheater valve are calculated based on the total amount of boiler load adjustment.

[0010] Preferably, after the power setting value is transmitted to the digital electro-hydraulic control system of the steam turbine, the heat consumption rate of the steam turbine is monitored; based on the heat consumption rate, the coefficients used in calculating the total boiler load adjustment, the turbine main steam pressure setting value and the turbine power setting value are adjusted.

[0011] A steam turbine optimization control system based on boiler-machine network coordination includes: Data acquisition module, used to obtain boiler operation data, steam turbine operation data and power grid operation data; The coordinated optimization scheduling module is used to calculate the total boiler load adjustment based on the acquired boiler operation data, turbine operation data and power grid operation data, and based on the total boiler load adjustment, calculate the turbine main steam pressure set value and turbine power set value; Monitoring module, used to monitor the bed temperature change rate and main steam pressure change rate of the boiler; The delayed execution module is used to send the turbine main steam pressure set value and the turbine power set value to the turbine digital electro-hydraulic control system under the condition that the bed temperature change rate is less than a first preset threshold and the main steam pressure change rate is less than a second preset threshold.

[0012] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the steam turbine optimization control method based on boiler-turbine network coordination are implemented.

[0013] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the steam turbine optimization control method based on boiler-turbine-network coordination.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention realizes the precise matching and coordinated operation between boilers, steam turbines and power grids through the boiler-turbine-power grid collaborative optimization scheduling model. According to the dynamic changes in the heat network user load, the steam production of the boiler and the operating parameters of the steam turbine are adjusted in time to avoid the waste and excessive consumption of steam, thereby improving the utilization efficiency of energy and reducing production costs. The turbine delayed execution model effectively avoids the risk of system oscillation caused by the parameter adjustment of the steam turbine when the boiler load adjustment is not yet stable. By real-time monitoring of the rate of change of the boiler bed temperature and the main steam pressure, the steam turbine is ensured to be in a stable state before the corresponding parameter adjustment is made, thereby enhancing the stability and reliability of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flow chart of the steam turbine optimization control method based on boiler-machine network coordination of the present invention; Figure 2 This is a flow chart of the boiler-turbine-power grid coordinated optimization scheduling model of the present invention; Figure 3 This is a workflow diagram of the steam turbine delayed execution model of the present invention. DETAILED DESCRIPTION

[0016] The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limiting the present invention.

[0017] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like, indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the said features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention pertains. The terms "installed", "connected", and "connected" should be understood in a broad sense, for example, they can be fixedly connected, detachably connected, or integrally connected; they can be mechanically connected, electrically connected, or able to communicate with each other; they can be directly connected, or indirectly connected through an intermediate medium, or they can be internally connected between two elements or an interactive relationship between two elements. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0019] In the present invention, unless otherwise expressly specified or limited, a first feature being "above" or "below" a second feature may include the first and second features being in direct contact, or may include the first and second features being in contact not directly but through another feature between them. Furthermore, a first feature being "above," "above," and "above" a second feature may include the first feature being directly above or obliquely above the second feature, or may simply mean that the first feature is higher in level than the second feature. A first feature being "below," "below," and "below" a second feature may include the first feature being directly below or obliquely below the second feature, or may simply mean that the first feature is lower in level than the second feature.

[0020] The disclosure below provides many different embodiments or examples for realizing different structures of the present invention. In order to simplify the disclosure of the present invention, the components and settings of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. In addition, the present invention may repeat reference numbers and / or reference letters in different examples. Such repetition is for the purpose of simplicity and clarity and does not in itself indicate the relationship between the various embodiments and / or settings discussed. In addition, the present invention provides examples of various specific processes and materials, but those skilled in the art will recognize the application of other processes and / or the use of other materials.

[0021] like Figure 1 As shown in FIG, the steam turbine optimization control method based on boiler-machine network coordination described in this embodiment includes the following processes: Step 1: Data collection and processing: Collect boiler operating data, turbine operating data, and power grid operating data, and perform preprocessing and mean filtering on the collected data.

[0022] The boiler operation data includes but is not limited to boiler main gas flow, boiler main steam pressure, bed temperature, coal feeder status, boiler automatic control (APC) related parameters (such as load target value, main steam pressure target value, communication status, one-button cut-off status, pressure regulation mode status, etc.).

[0023] The turbine operation data includes turbine inlet steam flow, turbine back pressure, turbine extraction flow, turbine exhaust flow, turbine power generation, turbine main steam pressure target value, turbine power target value, turbine pressure regulation mode status, turbine power mode status, turbine manual mode status, etc.

[0024] The grid operation data includes grid frequency, grid load demand, and voltage.

[0025] The data preprocessing and mean filtering process is as follows: preprocess the large amount of raw data collected to remove outliers and noise interference. By setting a reasonable data threshold range, outlier data points that exceed the range are eliminated; and the mean filtering algorithm is used to smooth the data. The specific formula is: (1) in, For the n The filtered value of the data point, For n Centered 2 m +1 adjacent data point, m is the filter window radius.

[0026] Step 2: If Figure 2 As shown in the figure, a boiler-turbine-grid coordinated optimization dispatch model is established. First, a turbine exhaust pressure sub-model is established to determine the turbine operating status in real time and provide benchmark parameters for other sub-models; a boiler load adjustment total sub-model is established to calculate the boiler total load adjustment (Δ B ); establish a boiler dual-reduction adjustment sub-model to coordinate the temperature and pressure reduction devices to ensure steam quality; the above three, together with the turbine adjustment sub-model and the boiler adjustment sub-model, constitute the boiler-turbine-grid coordinated optimization scheduling model.

[0027] The turbine exhaust pressure sub-model is used to determine whether the turbine is currently operating and to determine the reference values ​​for the main steam pressure and power settings of each turbine. When the turbine speed is greater than 2990 r / min and the power generation is greater than 5 MW, the turbine is considered to be in operation. At this time, the reference values ​​for the turbine main steam pressure and power settings are the current turbine main steam pressure and power target values. The mathematical expression is: (2) Among them, 1 indicates the running state and 0 indicates the non-running state.

[0028] The total amount of boiler load adjustment is accurately calculated based on the load changes of the heating network users, and the total amount of boiler load adjustment is calculated according to the following formula: (3) in is the total amount of boiler load adjustment, is the flow change of the j-th heating network user, is the contribution coefficient of the flow change of the j-th heating network user, is the change in turbine back pressure, is the contribution coefficient of turbine back pressure variation, For large user pressure changes, Contribution coefficient for large user pressure change, is the pressure change of the end user, is the contribution coefficient of the end-user pressure change, n is the number of heating network users.

[0029] Boiler double decompression adjustment sub-model: Based on the total amount of boiler load adjustment and the operating data of the decompression and temperature regulator, the load setting value of the decompression and temperature regulator and the target opening value of the relevant regulating valve are calculated. Taking the decompression and temperature regulator opening as an example, the calculation model is: (4) in, is the target value of the temperature reduction valve opening, is the initial opening, k is the opening adjustment coefficient, is the maximum boiler load. When the boiler load increases, the desuperheating valve opening is adjusted using this formula to ensure that the steam temperature and pressure meet the turbine requirements while avoiding damage to the equipment.

[0030] Steam turbine adjustment sub-model: Based on the total boiler load adjustment calculated by Formula 2, the steam turbine main steam pressure setpoint and the steam turbine power setpoint are calculated according to Formula 4: (5) Calculate the turbine power setting value according to the following formula: (6) in is the set value of the main steam pressure of the steam turbine, is the base pressure, is the total impact coefficient of boiler load adjustment, V is the steam inlet flow rate of the steam turbine, is the inlet steam flow rate influence coefficient, is the grid frequency, is the grid frequency influence coefficient; is the turbine power setting value, is the reference power, is the total impact coefficient of boiler load adjustment, is the turbine back pressure, is the turbine back pressure influence coefficient, is the grid load demand, is the grid load demand impact coefficient.

[0031] Boiler adjustment sub-model: Based on the total amount of boiler load adjustment calculated by formula 3, the load setting value of each boiler is determined. The allocation steps are as follows: The number of boilers in operation is determined based on the main steam flow of the boiler. When the total load demand satisfy When , one boiler is running; when When , run 2 boilers, and so on. For the i The number of boilers under different operating modes, For the i The maximum load of a single boiler under this operating mode. The boiler APC operation status is determined based on the manual status of the boiler coal feeder, and the boiler APC is determined to be in pressure regulation mode or load regulation mode based on the boiler APC pressure regulation mode status. If the boiler APC is in operation and in pressure regulation mode, the boiler main steam pressure set value is calculated according to the formula: (7) in, is the boiler main steam pressure setting value, is the reference value of the boiler main steam pressure, is the coefficient of influence of the total amount of boiler load adjustment on the main steam pressure, T is the bed temperature, is the influence coefficient of bed temperature on main steam pressure. If the boiler APC is put into operation and is in load adjustment mode, the boiler load setting value is calculated according to formula 6: (8) in, is the boiler load set value, is the boiler load reference value, is the coefficient of influence of the total amount of boiler load adjustment on boiler load, M is the coal feeder state parameter, is the influence coefficient of coal feeder status on boiler load.

[0032] Step 3: Run the optimization scheduling model. Run the optimization scheduling model based on the collected data to calculate parameters such as the total boiler load adjustment, turbine main steam pressure setpoint, turbine power setpoint, and desuperheater load setpoint.

[0033] Step 4: If Figure 3 As shown in the figure, a turbine delayed execution model is established to determine whether the boiler load adjustment is completed based on the boiler bed temperature and the boiler main steam pressure change rate. When the boiler load adjustment is completed, the turbine main steam pressure set value and the turbine power set value are assigned to the corresponding target value of the turbine DEH according to the current mode state of the turbine.

[0034] The steam turbine delayed execution model determines whether boiler load adjustment is complete according to the formula: (9) in is the average temperature change rate of boiler bed i, is the set bed average temperature change rate threshold, is the main steam pressure change rate of boiler i, The threshold value of the main steam pressure change rate. 1 indicates that the adjustment is completed, and 0 indicates that it is not completed.

[0035] By real-time monitoring of the rate of change of the boiler bed temperature and main steam pressure, the stability of the boiler adjustment process can be determined. Once the boiler load adjustment is complete, the turbine main steam pressure setpoint obtained from Equation 7 and the turbine power setpoint obtained from Equation 8 are assigned to the corresponding target values ​​of the turbine digital electro-hydraulic control system (DEH) based on the turbine's current mode. If the turbine is in main steam pressure mode, the turbine main steam pressure setpoint is assigned to the DEH main steam pressure value; if the turbine is in power mode, the turbine power setpoint is assigned to the DEH power value. If the turbine is in manual mode, manual adjustment can be made based on actual conditions. In this way, turbine operating parameters can be precisely adjusted to match the boiler's operating status and the grid's load demand.

[0036] Step 5: Feedback and Optimization. Monitor the turbine's operating performance indicators in real time and dynamically adjust and optimize the parameters of the boiler-turbine network collaborative optimization scheduling model and the turbine delayed execution model based on the performance evaluation results.

[0037] Real-time monitoring of steam turbine operating performance indicators: such as heat rate, power generation efficiency, load response time, etc. The heat rate calculation formula is: (10) in, HR is the heat rate, Q Input heat to the turbine, Nis the output power of the steam turbine. The effectiveness of the current control strategy is evaluated by comparing it with the preset standard value or optimization target value. For example, if the actual heat rate is higher than the preset target heat rate, it means that there is room for optimization in the current operating state. Based on the performance evaluation results: the parameters of the boiler-machine network collaborative optimization scheduling model and the steam turbine delayed execution model are dynamically adjusted and optimized. Using optimization algorithms such as the gradient descent method, with the minimization of the heat rate as the objective function, each coefficient in the model is iteratively optimized. The specific optimization formula is: (11) in, is the updated parameter, is the parameter before updating, is the learning rate, Heat rate versus parameter k gradient.

[0038] The following are device embodiments of the present invention, which can be used to perform the method embodiments of the present invention. For details not disclosed in the device embodiments, please refer to the method embodiments of the present invention.

[0039] In another embodiment of the present invention, a steam turbine optimization control system based on boiler-machine-network coordination is provided. The steam turbine optimization control system based on boiler-machine-network coordination can be used to implement the above-mentioned steam turbine optimization control method based on boiler-machine-network coordination. Specifically, the steam turbine optimization control system based on boiler-machine-network coordination includes a data acquisition module, a coordinated optimization scheduling module, a monitoring module and a delayed execution module.

[0040] Among them, the data acquisition module is used to obtain boiler operation data, turbine operation data and power grid operation data.

[0041] The coordinated optimization scheduling module is used to calculate the total boiler load adjustment based on the acquired boiler operation data, turbine operation data and power grid operation data, and based on the total boiler load adjustment, calculate the turbine main steam pressure set value and turbine power set value.

[0042] The monitoring module is used to monitor the bed temperature change rate and main steam pressure change rate of the boiler.

[0043] The delayed execution module is used to send the turbine main steam pressure set value and the turbine power set value to the turbine digital electro-hydraulic control system under the condition that the bed temperature change rate is less than a first preset threshold and the main steam pressure change rate is less than a second preset threshold.

[0044] In another embodiment of the present invention, a terminal device is provided, the terminal device including a processor and a memory, the memory being used to store a computer program, the computer program including program instructions, and the processor being used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGAs), or a processor that is ... GateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, and are suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions to implement corresponding method processes or corresponding functions; the processor described in the embodiment of the present invention can be used for the operation of the turbine optimization control method based on boiler-turbine-network coordination, including: obtaining boiler operating data, turbine operating data and power grid operating data; calculating the total boiler load adjustment based on the obtained boiler operating data, turbine operating data and power grid operating data, and calculating the turbine main steam pressure set value and turbine power set value based on the total boiler load adjustment; monitoring the boiler bed temperature change rate and main steam pressure change rate; and sending the turbine main steam pressure set value and turbine power set value to the turbine digital electro-hydraulic control system under the condition that the bed temperature change rate is less than a first preset threshold and the main steam pressure change rate is less than a second preset threshold.

[0045] In another embodiment, the present invention further provides a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It is understood that the computer-readable storage medium herein may include both built-in storage media in the terminal device and, of course, extended storage media supported by the terminal device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, the storage space also stores one or more instructions suitable for being loaded and executed by a processor. These instructions may be one or more computer programs (including program code). It should be noted that the computer-readable storage medium herein may be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device.

[0046] One or more instructions stored in a computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of the steam turbine optimization control method based on boiler-turbine-grid coordination in the above-mentioned embodiment; one or more instructions in the computer-readable storage medium are loaded by the processor and execute the following steps: obtaining boiler operating data, steam turbine operating data and power grid operating data; calculating the total boiler load adjustment amount based on the acquired boiler operating data, steam turbine operating data and power grid operating data, and calculating the steam turbine main steam pressure setting value and the steam turbine power setting value based on the total boiler load adjustment amount; monitoring the bed temperature change rate and the main steam pressure change rate of the boiler; and sending the steam turbine main steam pressure setting value and the steam turbine power setting value to the steam turbine digital electro-hydraulic control system under the condition that the bed temperature change rate is less than a first preset threshold and the main steam pressure change rate is less than a second preset threshold.

[0047] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0048] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0049] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0050] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0051] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0052] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0053] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0054] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0055] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

[0056] It should be understood that the above description is for illustration and not for limitation. Many embodiments and many applications beyond the examples provided will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of this patent should not be determined with reference to the above description, but rather with reference to the preceding claims and the full scope of equivalents to which such claims are entitled. For the purpose of completeness, all articles and references, including disclosures of patent applications and publications, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein from the preceding claims is not a disclaimer of such subject matter, nor should it be considered that the applicants did not consider such subject matter to be part of the disclosed inventive subject matter.

Claims

1. A steam turbine optimization control method based on boiler-machine network coordination, characterized in that: The following processes are included: Obtain boiler operation data, steam turbine operation data and power grid operation data; Calculate the total boiler load adjustment based on the acquired boiler operating data, turbine operating data, and power grid operating data, and calculate the turbine main steam pressure set value and turbine power set value based on the total boiler load adjustment; Monitor the boiler bed temperature change rate and main steam pressure change rate; Under the condition that the bed temperature change rate is less than a first preset threshold and the main steam pressure change rate is less than a second preset threshold, the turbine main steam pressure set value and the turbine power set value are sent to the turbine digital electro-hydraulic control system.

2. The steam turbine optimization control method based on boiler-machine-network coordination according to claim 1 is characterized in that: The process of calculating the total amount of boiler load adjustment is as follows: based on the change in flow rate of heat network user sub-meters, change in turbine back pressure, change in pressure of large users and change in pressure of end users, the total amount of boiler load adjustment is determined.

3. The steam turbine optimization control method based on boiler-machine-network coordination according to claim 1 is characterized in that: The process of calculating the turbine main steam pressure setpoint and turbine power setpoint is as follows: based on the total boiler load adjustment, turbine inlet steam flow and grid frequency, the turbine main steam pressure setpoint is determined; based on the total boiler load adjustment, turbine back pressure and grid load demand, the turbine power setpoint is determined.

4. The steam turbine optimization control method based on boiler-machine-network coordination according to claim 1 is characterized in that: Before calculating the total amount of boiler load adjustment, the acquired boiler operation data, turbine operation data and power grid operation data are subjected to mean filtering.

5. The steam turbine optimization control method based on boiler-machine-network coordination according to claim 1 is characterized in that: According to the total amount of boiler load adjustment, the number of boilers in operation is determined, and the load set value or main steam pressure set value is allocated to the boilers in the automatic control operation state.

6. The steam turbine optimization control method based on boiler-machine-network coordination according to claim 1 is characterized in that: According to the total amount of boiler load adjustment, calculate the load setting value of the desuperheater and pressure reducer and the target opening value of the desuperheater valve.

7. The steam turbine optimization control method based on boiler-turbine-network coordination according to claim 1, characterized in that: After the power setpoint is transmitted to the turbine digital electro-hydraulic control system, the heat rate of the turbine is monitored. Based on the heat rate, the coefficients used in calculating the total boiler load adjustment, the turbine main steam pressure setpoint, and the turbine power setpoint are adjusted.

8. A steam turbine optimization control system based on boiler-machine network coordination, characterized in that: include: Data acquisition module, used to obtain boiler operation data, steam turbine operation data and power grid operation data; The coordinated optimization scheduling module is used to calculate the total boiler load adjustment based on the acquired boiler operation data, turbine operation data and power grid operation data, and based on the total boiler load adjustment, calculate the turbine main steam pressure set value and turbine power set value; Monitoring module, used to monitor the bed temperature change rate and main steam pressure change rate of the boiler; The delayed execution module is used to send the turbine main steam pressure set value and the turbine power set value to the turbine digital electro-hydraulic control system under the condition that the bed temperature change rate is less than a first preset threshold and the main steam pressure change rate is less than a second preset threshold.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the steam turbine optimization control method based on boiler-turbine-network coordination as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the steam turbine optimization control method based on boiler-turbine-network coordination as claimed in any one of claims 1 to 7 are implemented.

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