Frequency modulation control strategy and control execution system based on frequency modulation control strategy

Abstract

The present invention provides a frequency modulation control strategy and a control execution system based on the frequency modulation control strategy, wherein the frequency modulation control strategy is to obtain a first load of the unit based on a first operating parameter when the operation of the unit is within a set range, and when the first load is within a set preset load threshold, it is determined to meet the judgment basis for the unit load; based on an artificial intelligence model to obtain the optimized load of the unit when the first operating parameter is used as a reference, when the optimized load is within the set preset load threshold and the optimized load is less than the first load, it is determined to meet the judgment basis for an energy-saving mode; a regulator is based on the judgment basis for meeting the unit load and provides an energy-saving mode based on the optimized load, wherein when the optimized load is within the set preset load threshold and the optimized load is less than the first load, the regulator regulates the first load of the unit to the optimized load.

Description

Technical Field

[0001] The present invention relates to the technical field of combustion engines, and in particular to a frequency modulation control strategy and a control execution system based on the frequency modulation control strategy. Background Art

[0002] The control of existing generator sets basically adopts DCS control, among which, network-source coordination refers to the timing synchronization of the AGC command signal and power feedback signal collected from the DCS and the AGC command signal and power signal collected from the RTU mirror. The current method basically adopts the synchronization revision of the AGC command signal and power feedback signal through analysis.

[0003] Among them, when the generator set is under different operating conditions, other indicators, such as the operating parameters and physical parameters of the unit, are generally adjusted according to the unit load. However, under the specified operating conditions, the unit's operating load can actually achieve a dynamic balance with the operating parameters and physical parameters, rather than keeping the operating load unchanged. When the operating load is adjusted to a dynamic balance with the operating parameters and physical parameters, energy-saving mode can be achieved. Therefore, it is necessary to set a frequency modulation control strategy on the original basis to achieve energy-saving mode operation. Summary of the invention

[0004] In view of this, the main purpose of the present invention is to provide a frequency modulation control strategy and a control execution system based on the frequency modulation control strategy.

[0005] The technical solution adopted by the present invention is as follows:

[0006] Frequency control strategies, including:

[0007] Setting a frequency modulation control program, wherein the frequency modulation control program is located in a storage module of the controller;

[0008] When the execution control logic module controls the operation of the unit based on the frequency modulation control program, a first operating state of the unit is monitored, a first operating parameter of the unit is obtained, and a first physical property parameter value of the unit in the first operating state is obtained;

[0009] Calling a comparison table set based on the operating parameters and physical property parameter values ​​of the unit, checking the standard physical property parameter value corresponding to the unit under the first operating parameter based on the comparison table, comparing the standard physical property parameter value with the first physical property parameter value, checking whether the difference between the standard physical property parameter value and the first physical property parameter value exceeds a set threshold value, and if it exceeds the set threshold value, the execution control logic module sends a control instruction to the execution control component, and the execution control component responds to the control instruction to adjust the basic material parameters of the unit, so that the first physical property parameter value approaches the standard physical property parameter value, and the difference is within the set threshold value;

[0010] When the difference is within the set threshold, the following operations are performed:

[0011] Acquire a first load of the unit based on the first operating parameter; when the first load is within a preset load threshold, determine that the judgment basis for the unit load is met;

[0012] Based on the artificial intelligence model, an optimized load of the group is obtained with the first operating parameter as the reference, and when the optimized load is within a preset load threshold and the optimized load is less than the first load, it is determined as a judgment basis for satisfying the energy-saving mode;

[0013] The regulator provides an energy-saving mode based on the judgment criteria for satisfying the unit load and the optimized load, wherein when the optimized load is within a set preset load threshold and the optimized load is less than the first load, the regulator regulates the first load of the unit to the optimized load.

[0014] Furthermore, the artificial intelligence model is obtained in the following manner:

[0015] Collect historical operating parameters and historical loads of the unit under different operating conditions in advance;

[0016] A classifier is configured to classify the historical operating parameters and the historical loads according to different operating states, so that one historical operating parameter corresponds to a plurality of historical loads;

[0017] A labeler is configured to label the classified historical operating parameters and the historical loads correspondingly to form a labeled sample set;

[0018] The labeled sample set is subjected to iterative machine learning to form an artificial intelligence model.

[0019] Furthermore, the frequency modulation control program is a set of circuit units set inside the controller and used to perform normal control on the unit.

[0020] The present invention also provides a control execution system based on a frequency modulation strategy, comprising:

[0021] A frequency modulation control program is arranged in a storage module of the controller;

[0022] An execution control logic module is used to control the operation of the unit based on the frequency modulation control program;

[0023] A monitoring module, used for monitoring a first operating state of the unit, obtaining a first operating parameter of the unit, and obtaining a first physical property parameter value of the unit in the first operating state during the period of controlling the operation of the unit based on the frequency modulation control program;

[0024] A comparison module calls a comparison table set based on the operating parameters and physical property parameter values ​​of the unit, checks the standard physical property parameter value corresponding to the unit under the first operating parameter based on the comparison table, compares the standard physical property parameter value with the first physical property parameter value, and checks whether the difference between the standard physical property parameter value and the first physical property parameter value exceeds a set threshold value. If the difference exceeds the set threshold value, the execution control logic module sends a control instruction to the execution control component, and the execution control component responds to the control instruction to adjust the basic material parameters of the unit, so that the first physical property parameter value approaches the standard physical property parameter value and the difference is within the set threshold value;

[0025] A first judgment module, wherein the first judgment module is configured to obtain a judgment basis for satisfying the load of the unit;

[0026] A second judgment module, wherein the second judgment module is configured to obtain a judgment basis for satisfying the energy-saving mode;

[0027] A regulator, wherein the regulator is configured to provide an energy-saving mode based on a basis for satisfying a unit load judgment and based on an optimized load, wherein when the optimized load is within a set preset load threshold and the optimized load is less than a first load, the regulator regulates the first load of the unit to the optimized load.

[0028] Furthermore, the basis for judging the load of the unit is:

[0029] A first load of the unit is acquired based on the first operating parameter, and when the first load is within a set preset load threshold, it is determined that a judgment basis for the unit load is met.

[0030] Furthermore, the basis for determining whether the energy-saving mode is met is:

[0031] Based on the artificial intelligence model, the optimized load of the timing group is obtained with the first operating parameter as the reference. When the optimized load is within the set preset load threshold and the optimized load is less than the first load, it is determined as a judgment basis for meeting the energy-saving mode.

[0032] Furthermore, the frequency modulation control program is a set of circuit units set inside the controller and used to perform normal control on the unit.

[0033] Furthermore, the circuit unit set includes at least:

[0034] Control circuits for input current and voltage of the unit under different operating conditions;

[0035] Self-adaptive load control circuit for the unit under different operating conditions;

[0036] A physical property parameter control circuit for adaptively controlling the physical property parameters of the unit under different operating conditions.

[0037] Furthermore, the physical property parameters at least include:

[0038] Real-time feed water temperature, feed water pressure, new steam temperature, new steam pressure, reheat hot section steam temperature, reheat hot section steam pressure, reheat cold section steam temperature, reheat cold section steam pressure.

[0039] Furthermore, the artificial intelligence model is obtained in the following manner:

[0040] Collect historical operating parameters and historical loads of the unit under different operating conditions in advance;

[0041] A classifier is configured to classify the historical operating parameters and the historical loads according to different operating states, so that one historical operating parameter corresponds to a plurality of historical loads;

[0042] A labeler is configured to label the classified historical operating parameters and the historical loads correspondingly to form a labeled sample set;

[0043] The labeled sample set is subjected to iterative machine learning to form an artificial intelligence model.

[0044] In this application, when the operation of the unit is within the set range, it means that the operation of the unit is in a relatively stable state. At this time, the first load of the unit is obtained based on the first operating parameter. When the first load is within the set preset load threshold, it is determined that the judgment basis for the load of the unit is met;

[0045] An optimized load of the unit is obtained based on an artificial intelligence model when the first operating parameter is used as a reference. When the optimized load is within a set preset load threshold and the optimized load is less than the first load, it is determined as a basis for judging whether the energy-saving mode is met. The regulator is based on the basis for judging whether the unit load is met and provides an energy-saving mode based on the optimized load. When the optimized load is within a set preset load threshold and the optimized load is less than the first load, the regulator adjusts the first load of the unit to the optimized load. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The following drawings are only used to illustrate and explain the present invention, and are not used to limit the scope of the present invention, wherein:

[0047] Figure 1 is a flow chart of the method of the present invention;

[0048] Figure 2 It is the framework principle diagram of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution, design method and advantages of the present invention clearer, the present invention is further described in detail by specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0050] Reference Figure 1 branch Figure 2 The present invention provides a frequency modulation control strategy, including:

[0051] Setting a frequency modulation control program, wherein the frequency modulation control program is located in a storage module of the controller;

[0052] When the execution control logic module controls the operation of the unit based on the frequency modulation control program, a first operating state of the unit is monitored, a first operating parameter of the unit is obtained, and a first physical property parameter value of the unit in the first operating state is obtained;

[0053] Calling a comparison table set based on the operating parameters and physical property parameter values ​​of the unit, checking the standard physical property parameter value corresponding to the unit under the first operating parameter based on the comparison table, comparing the standard physical property parameter value with the first physical property parameter value, checking whether the difference between the standard physical property parameter value and the first physical property parameter value exceeds a set threshold value, and if it exceeds the set threshold value, the execution control logic module sends a control instruction to the execution control component, and the execution control component responds to the control instruction to adjust the basic material parameters of the unit, so that the first physical property parameter value approaches the standard physical property parameter value, and the difference is within the set threshold value;

[0054] When the difference is within the set threshold, the following operations are performed:

[0055] Acquire a first load of the unit based on the first operating parameter; when the first load is within a preset load threshold, determine that the judgment basis for the unit load is met;

[0056] Based on the artificial intelligence model, an optimized load of the group is obtained with the first operating parameter as the reference, and when the optimized load is within a preset load threshold and the optimized load is less than the first load, it is determined as a judgment basis for satisfying the energy-saving mode;

[0057] The regulator provides an energy-saving mode based on the judgment criteria for satisfying the unit load and the optimized load, wherein when the optimized load is within a set preset load threshold and the optimized load is less than the first load, the regulator regulates the first load of the unit to the optimized load.

[0058] The principle of this application is actually to first determine the operating state of the unit, then take the operating parameters of the unit according to the operating state, and obtain the physical property parameter value of the unit in the operating state; then determine whether the unit is in a relatively stable state under the operating state based on the analysis of the operating parameters and the physical property parameter values. Only when the unit is in a relatively stable state, the energy-saving mode of the unit is implemented. Among them, the analysis of the operating parameters and the physical property parameter values ​​refers to: calling the comparison table set by the unit based on the operating parameters-physical property parameter values, based on the comparison table to check the standard physical property parameter value corresponding to the unit under the first operating parameter, compare the standard physical property parameter value with the first physical property parameter value, and check whether the difference between the standard physical property parameter value and the first physical property parameter value exceeds the set threshold. If it exceeds the set threshold, the execution control logic module sends a control instruction to the execution control component, and the execution control component responds to the control instruction to adjust the basic material parameters of the unit, so that the first physical property parameter value approaches the standard physical property parameter value, and the difference is within the set threshold.

[0059] In some embodiments, the frequency modulation control program is a set of circuit units set inside the controller for normal control of the unit. The circuit unit set includes at least: a control circuit for input current and voltage of the unit under different operating conditions; a load adaptive control circuit for the unit under different operating conditions; and a physical parameter control circuit for adaptively controlling physical parameters of the unit under different operating conditions.

[0060] In the above, it should be pointed out that the different operating states of the unit can be controlled according to the requirements of the grid-connected end. Generally, they are controlled according to the control rules set inside the unit. The control rules can be understood as different levels of operating states set under different grid-connected requirements. These are all existing technical means and this application will not be redundant.

[0061] In the above, it should also be pointed out that adaptive control means that the unit automatically operates according to the operating standards set for different levels of operation.

[0062] In some embodiments, the standard physical property parameter value and the first physical property parameter value actually include data of real-time feed water temperature, feed water pressure, fresh steam temperature, fresh steam pressure, reheat hot section steam temperature, reheat hot section steam pressure, reheat cold section steam temperature and reheat cold section steam pressure. The definitions therebetween are:

[0063] Standard physical property parameter values ​​refer to the benchmark values ​​set under different operating parameters;

[0064] The first physical property parameter value refers to the actual collected value under the set operating state.

[0065] In some embodiments, the artificial intelligence model is obtained by:

[0066] Collect historical operating parameters and historical loads of the unit under different operating conditions in advance;

[0067] A classifier is configured to classify the historical operating parameters and the historical loads according to different operating states, so that one historical operating parameter corresponds to a plurality of historical loads;

[0068] A labeler is configured to label the classified historical operating parameters and the historical loads correspondingly to form a labeled sample set;

[0069] The labeled sample set is subjected to iterative machine learning to form an artificial intelligence model.

[0070] Reference Figure 2 The present invention also provides a control execution system based on a frequency modulation strategy, comprising:

[0071] A frequency modulation control program is arranged in a storage module of the controller;

[0072] An execution control logic module is used to control the operation of the unit based on the frequency modulation control program;

[0073] A monitoring module, used for monitoring a first operating state of the unit, obtaining a first operating parameter of the unit, and obtaining a first physical property parameter value of the unit in the first operating state during the period of controlling the operation of the unit based on the frequency modulation control program;

[0074] A comparison module calls a comparison table set based on the operating parameters and physical property parameter values ​​of the unit, checks the standard physical property parameter value corresponding to the unit under the first operating parameter based on the comparison table, compares the standard physical property parameter value with the first physical property parameter value, and checks whether the difference between the standard physical property parameter value and the first physical property parameter value exceeds a set threshold value. If the difference exceeds the set threshold value, the execution control logic module sends a control instruction to the execution control component, and the execution control component responds to the control instruction to adjust the basic material parameters of the unit, so that the first physical property parameter value approaches the standard physical property parameter value and the difference is within the set threshold value;

[0075] A first judgment module, wherein the first judgment module is configured to obtain a judgment basis for satisfying the load of the unit;

[0076] A second judgment module, wherein the second judgment module is configured to obtain a judgment basis for satisfying the energy-saving mode;

[0077] A regulator, wherein the regulator is configured to provide an energy-saving mode based on a basis for satisfying a unit load judgment and based on an optimized load, wherein when the optimized load is within a set preset load threshold and the optimized load is less than a first load, the regulator regulates the first load of the unit to the optimized load.

[0078] In some embodiments, satisfying the judgment criterion for the unit load means: obtaining a first load of the unit based on a first operating parameter, and when the first load is within a set preset load threshold, it is determined that the judgment criterion for the unit load is satisfied.

[0079] In some embodiments, the judgment basis for satisfying the energy-saving mode refers to: based on an artificial intelligence model to obtain the optimized load of the timing group with the first operating parameter as the reference, when the optimized load is within the set preset load threshold and the optimized load is less than the first load, it is determined to be the judgment basis for satisfying the energy-saving mode.

[0080] In some embodiments, the frequency modulation control program is a set of circuit units set inside the controller for normal control of the unit. The circuit unit set includes at least: a control circuit for the input current and voltage of the unit under different operating conditions; a load adaptive control circuit for the unit under different operating conditions; and a physical parameter control circuit for adaptively controlling the physical parameters of the unit under different operating conditions. It should be pointed out that the different operating states of the unit can be regulated according to the requirements of the grid-connected end. Generally, they are controlled according to the control rules set inside the unit. The control rules can be understood as different levels of operating states set under different grid-connected requirements. These are all existing technical means, and this application is not cumbersome. It should also be pointed out that adaptive control means that the unit automatically operates according to the operating standards set for the level under different levels of operating conditions.

[0081] In the above, the physical parameters include at least: real-time feed water temperature, feed water pressure, new steam temperature, new steam pressure, reheat hot section steam temperature, reheat hot section steam pressure, reheat cold section steam temperature, reheat cold section steam pressure.

[0082] Based on the above description, the standard physical property parameter values ​​and the first physical property parameter values ​​actually include data on real-time feed water temperature, feed water pressure, new steam temperature, new steam pressure, reheat hot section steam temperature, reheat hot section steam pressure, reheat cold section steam temperature and reheat cold section steam pressure.

[0083] Standard physical property parameter values ​​are the benchmark values ​​set under different operating parameters;

[0084] The first physical property parameter value is the actual collected value under the set operating state.

[0085] In the above, the artificial intelligence model is obtained in the following way:

[0086] Collect historical operating parameters and historical loads of the unit under different operating conditions in advance;

[0087] A classifier is configured to classify the historical operating parameters and the historical loads according to different operating states, so that one historical operating parameter corresponds to a plurality of historical loads;

[0088] A labeler is configured to label the classified historical operating parameters and the historical loads correspondingly to form a labeled sample set;

[0089] The labeled sample set is subjected to iterative machine learning to form an artificial intelligence model.

[0090] The principle of this application is actually to first determine the operating state of the unit, then obtain the operating parameters of the unit according to the operating state, and obtain the physical parameter values ​​of the unit under the operating state; then determine whether the unit is in a relatively stable state under the operating state based on the analysis of the operating parameters and physical parameter values. Only when the unit is in a relatively stable state can the energy-saving mode of the unit be regulated. At this time, the first load of the unit is obtained based on the first operating parameter. When the first load is within the set preset load threshold, it is determined to meet the judgment basis for the unit load;

[0091] An optimized load of the unit is obtained based on an artificial intelligence model when the first operating parameter is used as a reference. When the optimized load is within a set preset load threshold and the optimized load is less than the first load, it is determined as a basis for judging whether the energy-saving mode is met. The regulator is based on the basis for judging whether the unit load is met and provides an energy-saving mode based on the optimized load. When the optimized load is within a set preset load threshold and the optimized load is less than the first load, the regulator adjusts the first load of the unit to the optimized load.

[0092] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. Frequency modulation control strategy, characterized in that: include: Setting a frequency modulation control program, wherein the frequency modulation control program is located in a storage module of the controller; When the execution control logic module controls the operation of the unit based on the frequency modulation control program, a first operating state of the unit is monitored, a first operating parameter of the unit is obtained, and a first physical property parameter value of the unit in the first operating state is obtained; Calling a comparison table set based on the operating parameters and physical property parameter values ​​of the unit, checking the standard physical property parameter value corresponding to the unit under the first operating parameter based on the comparison table, comparing the standard physical property parameter value with the first physical property parameter value, checking whether the difference between the standard physical property parameter value and the first physical property parameter value exceeds a set threshold value, and if it exceeds the set threshold value, the execution control logic module sends a control instruction to the execution control component, and the execution control component responds to the control instruction to adjust the basic material parameters of the unit, so that the first physical property parameter value approaches the standard physical property parameter value, and the difference is within the set threshold value; When the difference is within the set threshold, the following operations are performed: Acquire a first load of the unit based on a first operating parameter; When the first load is within a preset load threshold, it is determined that the judgment basis for the unit load is satisfied; Based on the artificial intelligence model, an optimized load of the group is obtained with the first operating parameter as the reference, and when the optimized load is within a preset load threshold and the optimized load is less than the first load, it is determined as a judgment basis for satisfying the energy-saving mode; The controller provides an energy-saving mode based on the judgment basis of satisfying the load of the unit and the optimized load, wherein when the optimized load is within a preset load threshold and the optimized load is less than the first load, the controller adjusts the first load of the unit to the optimized load; The physical property parameters at least include: Real-time feed water temperature, feed water pressure, new steam temperature, new steam pressure, reheat hot section steam temperature, reheat hot section steam pressure, reheat cold section steam temperature, reheat cold section steam pressure; The standard physical property parameter value is a reference value set under different operating parameters; the first physical property parameter value is an actual collected value under the set operating state.

2. The frequency modulation control strategy according to claim 1, characterized in that: The artificial intelligence model is obtained in the following way: Collect historical operating parameters and historical loads of the unit under different operating conditions in advance; A classifier is configured to classify the historical operating parameters and the historical loads according to different operating states, so that one historical operating parameter corresponds to a plurality of historical loads; A labeler is configured to label the classified historical operating parameters and the historical loads correspondingly to form a labeled sample set; The labeled sample set is subjected to iterative machine learning to form an artificial intelligence model.

3. The frequency modulation control strategy according to claim 1, characterized in that: The frequency modulation control program is a set of circuit units set inside the controller and used to perform normal control on the unit.

4. A control execution system based on a frequency modulation strategy, characterized in that: include: A frequency modulation control program is arranged in a storage module of the controller; An execution control logic module is used to control the operation of the unit based on the frequency modulation control program; A monitoring module, used for monitoring a first operating state of the unit, obtaining a first operating parameter of the unit, and obtaining a first physical property parameter value of the unit in the first operating state during the period of controlling the operation of the unit based on the frequency modulation control program; A comparison module calls a comparison table set based on the operating parameters and physical property parameter values ​​of the unit, checks the standard physical property parameter value corresponding to the unit under the first operating parameter based on the comparison table, compares the standard physical property parameter value with the first physical property parameter value, and checks whether the difference between the standard physical property parameter value and the first physical property parameter value exceeds a set threshold value. If the difference exceeds the set threshold value, the execution control logic module sends a control instruction to the execution control component, and the execution control component responds to the control instruction to adjust the basic material parameters of the unit, so that the first physical property parameter value approaches the standard physical property parameter value and the difference is within the set threshold value; A first judgment module, wherein the first judgment module is configured to obtain a judgment basis for satisfying the load of the unit; A second judgment module, wherein the second judgment module is configured to obtain a judgment basis for satisfying the energy-saving mode; A controller, the controller being configured to provide an energy-saving mode based on the optimized load and based on the basis of satisfying the load judgment of the unit, wherein when the optimized load is within a preset load threshold and the optimized load is less than the first load, the controller regulates the first load of the unit to the optimized load; The basis for judging the load of the unit is: Acquire a first load of the unit based on the first operating parameter, and determine that a load judgment basis for the unit is met when the first load is within a preset load threshold; The basis for judging whether energy-saving mode is met is: Based on the artificial intelligence model, an optimized load of the group is obtained with the first operating parameter as the reference, and when the optimized load is within a preset load threshold and the optimized load is less than the first load, it is determined as a judgment basis for satisfying the energy-saving mode; The physical property parameters at least include: Real-time feed water temperature, feed water pressure, new steam temperature, new steam pressure, reheat hot section steam temperature, reheat hot section steam pressure, reheat cold section steam temperature, reheat cold section steam pressure; The standard physical property parameter value is a reference value set under different operating parameters; the first physical property parameter value is an actual collected value under the set operating state.

5. The control execution system based on frequency modulation strategy according to claim 4, characterized in that: The frequency modulation control program is a set of circuit units set inside the controller and used to perform normal control on the unit.

6. The control execution system based on frequency modulation strategy according to claim 5, characterized in that: The circuit unit set at least includes: Control circuits for input current and voltage of the unit under different operating conditions; Self-adaptive load control circuit for the unit under different operating conditions; A physical property parameter control circuit for adaptively controlling the physical property parameters of the unit under different operating conditions.

7. The control execution system based on frequency modulation strategy according to claim 4, characterized in that: The artificial intelligence model is obtained in the following way: Collect historical operating parameters and historical loads of the unit under different operating conditions in advance; A classifier is configured to classify the historical operating parameters and the historical loads according to different operating states, so that one historical operating parameter corresponds to a plurality of historical loads; A labeler is configured to label the classified historical operating parameters and the historical loads correspondingly to form a labeled sample set; The labeled sample set is subjected to iterative machine learning to form an artificial intelligence model.

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