Unit sliding pressure control optimization method and system based on thermoelectric load condition

Abstract

The invention relates to the technical field of intelligent operation of thermal generator sets, and discloses a unit sliding pressure control optimization method based on a thermoelectric load condition, which comprises the following steps of: 1, regularly acquiring target load point data of a unit in an effective operation load interval process within a preset period, the target load point data are preprocessed; 2, after the target load point data are preprocessed, whether the unit has a stable working condition under the current sliding pressure condition or not is judged through a unit thermoelectric load conversion relation model; and step 3, when it is determined that the unit is in a stable working condition under the current sliding pressure condition, according to the preprocessed data. The control system is designed and comprises an acquisition unit, a preprocessing module, a judgment unit, a calculation unit, a database, a deviation early warning annunciator, an information control library and a permission deviation parameter value presetting module, so that the accuracy of sliding pressure optimization operation control of the unit is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent operation of thermal power generating sets, and in particular to a method and system for optimizing sliding pressure control of a generating set based on thermal power load conditions. Background Art

[0002] At present, with the development of new energy power generation technology, affected by the peak load regulation of the power grid, thermal power generating units need to be in variable load operation for a long time. Therefore, most of the large-scale units in my country use sliding pressure operation in the process of operation optimization to cope with the changes in power load demand. Sliding pressure optimization is a commonly used coal-fired unit operation optimization method, which can reduce the unit heat consumption rate, power supply coal consumption and adverse effects on the environment.

[0003] When the unit is in sliding pressure operation, each load condition has a corresponding main steam pressure, which can optimize the unit economy under this condition. By expressing each load and its corresponding optimal main steam pressure in the form of a curve, a sliding pressure curve can be obtained.

[0004] The traditional sliding pressure optimization method is to test the heat rate of the steam turbine under multiple typical main steam pressures corresponding to each typical load point through tests at several typical load points, and select the optimal pressure with the lowest heat rate as the typical load point. After that, the optimal sliding pressure curve is obtained through the typical load and its optimal pressure, and the unit is operated according to the optimal sliding pressure curve.

[0005] If the traditional sliding pressure curve that only considers the electrical load is still used in the cogeneration unit, the main steam pressure signal obtained by the control system and the actual optimal main steam pressure under the operating condition will have a large deviation because the unit's thermal load operating parameters will change over a long period of time. As a result, the unit may deviate from the actual optimal sliding pressure curve for a long time between sliding pressure optimization cycles, which will lead to a higher heat consumption rate of the unit, lower energy-saving and consumption-reduction benefits of sliding pressure optimization operation, reduced energy utilization of fuel, and reduced economy of the unit.

[0006] To this end, we need to redesign a unit sliding pressure control optimization method and system based on thermal power load conditions to solve the above-mentioned problems. Summary of the invention

[0007] The object of the present invention is to provide a method and system for optimizing sliding pressure control of a unit based on thermal power load conditions, so as to solve the problems raised in the above-mentioned background technology.

[0008] To achieve the above object, the present invention provides the following technical solution: a method for optimizing sliding pressure control of a unit based on thermal power load conditions, comprising the following method steps:

[0009] Step 1: regularly collecting target load point data of the unit during the effective operating load range within a preset period, and preprocessing the target load point data;

[0010] Step 2: After preprocessing the target load point data, determine whether the unit has a stable operating condition under the current sliding pressure condition through the unit thermal and electric load conversion relationship model;

[0011] Step 3: When it is determined that the unit is in a stable operating condition under the current sliding pressure condition, the heat consumption rate corresponding to each main steam pressure at each load point is calculated based on the preprocessed data;

[0012] Step 4: updating each load point, each main steam pressure corresponding to each load point, and the heat consumption rate corresponding to each main steam pressure at each load point as data into the database;

[0013] Step 5: Repeat Step 3 and Step 4, so that all load points, main steam pressures corresponding to the load points, and heat consumption rates corresponding to the main steam pressures of the load points are compared as sample data;

[0014] Step six: according to the samples in the database, the optimal sliding pressure curve of the unit is determined with the goal of minimizing the heat rate, and the unit is controlled to operate according to the optimal sliding pressure curve.

[0015] Preferably, the target load point data in step 1 is preprocessed, and the method includes the following steps:

[0016] S1. Uniformly select n test conditions with different loads;

[0017] S2, taking out the test conditions of different loads in S1, respectively recording them as condition A...condition n, using thermal system thermal balance simulation software to establish a simulation model of pure condensing power generation conditions under the load, simulating the actual operation of the thermal power unit under the test condition;

[0018] S3, for the simulation model in S2, different steam extraction ports are selected while keeping the steam pressure parameters unchanged, and the heating steam extraction flow rates of the different steam extraction ports are set accordingly;

[0019] S4. Calculate the ratio of the electric load of each group to the heating extraction steam flow rate according to the parameters of the simulation model, that is, the conversion coefficient ki between the electric load and the heating extraction steam flow rate;

[0020] S5. Based on the conversion relationship coefficients ki obtained under these different operating conditions, establish the relationship between the conversion coefficients of each steam extraction port and the unit operating conditions, and draw a relationship curve. The expression of the relationship curve is: ki=f(p0);

[0021] In the above formula, ki is the conversion coefficient between the heat extraction steam flow rate and the electrical load at the extraction port i, and the unit is kW / (kg / s); p0 is the pressure value of the main steam;

[0022] S6. Establish the conversion relationship between the total thermal power load and the heating steam flow rate of each steam extraction port:

[0023]

[0024] In the above formula, W he is the total thermal power load after conversion, in kW; W e is the actual electrical load of the working condition, in kW; k i is the conversion coefficient between the heating steam flow rate and the electrical load at the steam extraction port i, in kW / (kg / s); m i It represents the mass flow rate of the steam extraction port i, in kg / s;

[0025] S7. Combining the relationship curve in step S5 and the conversion relationship in step S6, a conversion relationship model for converting the unit thermal load into the electrical load is established.

[0026] Preferably, in step one, by simulating the actual operating parameters of the unit's thermal and electric load conversion relationship model, the average value of the simulated unit's thermal and electric load conversion relationship model operating parameters is compared with the average value of the standard unit's thermal and electric load conversion relationship model operating parameters. If the average value of the simulated unit's thermal and electric load conversion relationship model operating parameters is less than or equal to the average value of the standard unit's thermal and electric load conversion relationship model operating parameters, it is determined that the unit is in a stable operating condition under the current sliding pressure conditions.

[0027] Preferably, in step three, a corresponding heat consumption curve is obtained according to the heat consumption rate corresponding to each main steam pressure at each load point.

[0028] Preferably, in step six, the optimal sliding pressure curve is compared with the standard optimized sliding pressure curve to obtain the difference in the degree of deviation, and then the deviation warning signal is fed back to the information control library.

[0029] Preferably, the signal obtained from the information control library is analyzed, judged and decided, specifically as follows: a permissible deviation parameter value is set in advance, and then the actual deviation value obtained is compared with the pre-set deviable parameter value. If it exceeds or is lower than the deviable parameter value, it is judged to be not the optimal sliding-pressure curve, otherwise it is the optimal sliding-pressure curve.

[0030] A system for optimizing a unit sliding pressure control method based on thermal power load conditions, comprising:

[0031] A collection unit is used to collect target load point data of the unit during the effective operation load range;

[0032] A preprocessing module, for preprocessing the target load point data;

[0033] The judgment unit judges whether the unit has a stable operating condition under the current sliding pressure condition after preprocessing the target load point data. If not, it returns to the acquisition unit and re-preprocesses. If yes, it transmits the information to the calculation unit;

[0034] A system for optimizing a unit sliding pressure control method based on thermal power load conditions, further comprising:

[0035] The calculation unit calculates the heat consumption rate corresponding to each main steam pressure of each load point according to the preprocessed data;

[0036] A database, used to update each load point, each main steam pressure corresponding to each load point, and the heat consumption rate corresponding to each main steam pressure at each load point as data into the database;

[0037] A system for optimizing a unit sliding pressure control method based on thermal power load conditions, further comprising:

[0038] The deviation warning signal device compares the optimal sliding pressure curve with the standard optimized pressure curve to obtain the difference in the degree of deviation, and then the deviation warning signal is fed back to the information control library;

[0039] Information control library, which stores information;

[0040] The module for presetting the permissible deviation parameter value compares the actual deviation value with the pre-set deviable parameter value. If it exceeds or is lower than the deviable parameter value, it is judged as not being the optimal sliding pressure curve, otherwise it is the optimal sliding pressure curve.

[0041] Preferably, the signal output end of the acquisition unit is signal-connected to the signal input end of the judgment unit, one of the signal output ends of the judgment unit is signal-connected to the signal input end of the acquisition unit through a preprocessing module, another signal output end of the judgment unit is signal-connected to the signal input end of the database, the signal output end of the database is signal-connected to the signal input end of the information control library through a deviation warning signaler, and the module for pre-setting the allowed deviation parameter value is arranged inside the information control library.

[0042] The present invention provides a method and system for optimizing the sliding pressure control of a unit based on thermal power load conditions. It has the following beneficial effects:

[0043] (1) The present invention designs the optimization method to determine whether the unit is in a stable operating condition under the current sliding pressure condition on the basis of establishing a conversion relationship model for converting the unit's thermal load into electrical load, and then calculates the heat consumption rate corresponding to each main steam pressure at each load point, and obtains the corresponding heat consumption curve. Then, the optimal sliding pressure curve is compared with the standard optimized pressure curve to obtain the difference in the degree of deviation. By analyzing, judging and making a decision based on the signal obtained from the information control library, when the unit is controlled to operate with the optimal sliding pressure curve, the operating condition of the unit can be closer to the optimal sliding pressure condition, so as to improve the accuracy of the sliding pressure optimization operation control of the unit, thereby facilitating the reduction of the unit's heat consumption rate and improving the energy-saving and consumption-reducing benefits of the unit's sliding pressure optimization operation.

[0044] (2) The present invention improves the accuracy of the unit's sliding pressure optimization operation control by designing the control system, which includes a collection unit, a preprocessing module, a judgment unit, a calculation unit, a database, a deviation warning signal, an information control library, and a module for presetting the allowable deviation parameter value. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a block diagram of the system unit of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] Examples of the embodiments 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 intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0048] Example 1

[0049] A preferred embodiment of a unit sliding pressure control optimization method and system based on thermal power load conditions provided by the present invention is as follows: Figure 1 As shown:

[0050] A method for optimizing sliding pressure control of a unit based on thermal power load conditions comprises the following steps:

[0051] Step 1: regularly collect the target load point data of the unit in the effective operating load range within a preset period, and pre-process the target load point data;

[0052] Step 2: After preprocessing the target load point data, determine whether the unit has a stable operating condition under the current sliding pressure condition through the unit thermal and electric load conversion relationship model;

[0053] Step 3: When it is determined that the unit is in a stable operating condition under the current sliding pressure condition, the heat consumption rate corresponding to each main steam pressure at each load point is calculated based on the preprocessed data;

[0054] Step 4: updating each load point, each main steam pressure corresponding to each load point, and the heat consumption rate corresponding to each main steam pressure at each load point as data into the database;

[0055] Step 5: Repeat Step 3 and Step 4, so that all load points, main steam pressures corresponding to the load points, and heat consumption rates corresponding to the main steam pressures of the load points are compared as sample data;

[0056] Step 6: Based on the samples in the database, determine the optimal sliding pressure curve of the unit with the goal of minimizing the heat rate, and control the unit to operate with the optimal sliding pressure curve.

[0057] Preprocessing the target load point data in step 1 includes the following steps:

[0058] S1. Uniformly select n test conditions with different loads;

[0059] S2. Take out the test conditions with different loads in S1, record them as condition A...condition n respectively, use thermal system thermal balance simulation software to establish a simulation model of pure condensing power generation condition under load, and simulate the actual operation of the thermal power unit under the test condition;

[0060] S3, for the simulation model in S2, different steam extraction ports are selected while keeping the steam pressure parameters unchanged, and the heating steam extraction flow rates of the different steam extraction ports are set accordingly;

[0061] S4. Calculate the ratio of the electric load of each group to the heating extraction steam flow rate according to the parameters of the simulation model, that is, the conversion coefficient ki between the electric load and the heating extraction steam flow rate;

[0062] S5. Based on the conversion relationship coefficients ki obtained under these different operating conditions, the relationship between the conversion coefficients of each extraction port and the unit operating conditions is established, and a relationship curve is drawn. The expression of the relationship curve is: ki = f(p0);

[0063] In the above formula, ki is the conversion coefficient between the heat extraction steam flow rate and the electrical load at the extraction port i, and the unit is kW / (kg / s); p0 is the pressure value of the main steam;

[0064] S6. Establish the conversion relationship between the total thermal power load and the heating steam flow rate of each steam extraction port:

[0065]

[0066] In the above formula, W he is the total thermal power load after conversion, in kW; W e is the actual electrical load of the working condition, in kW; k i is the conversion coefficient between the heating steam flow rate and the electrical load at the steam extraction port i, in kW / (kg / s); m i It represents the mass flow rate of the steam extraction port i, in kg / s;

[0067] S7. Combining the relationship curve in step S5 and the conversion relationship in step S6, a conversion relationship model for converting the unit thermal load into the electrical load is established.

[0068] In step one, by simulating the actual operating parameters of the unit's thermal and electric load conversion relationship model, the average value of the simulated unit's thermal and electric load conversion relationship model operating parameters is compared with the average value of the standard unit's thermal and electric load conversion relationship model operating parameters. If the average value of the simulated unit's thermal and electric load conversion relationship model operating parameters is less than or equal to the average value of the standard unit's thermal and electric load conversion relationship model operating parameters, it is determined that the unit is in a stable operating condition under the current sliding pressure condition.

[0069] Furthermore, in step three of this embodiment, a corresponding heat consumption curve is obtained according to the heat consumption rate corresponding to each main steam pressure at each load point.

[0070] Furthermore, in step six of the present embodiment, the optimal sliding pressure curve is compared with the standard optimized sliding pressure curve to obtain the difference in the degree of deviation, and then the deviation warning signal is fed back to the information control library.

[0071] The signals obtained from the information control library are analyzed, judged and decided as follows: the permissible deviation parameter value is set in advance, and then the actual deviation value is compared with the pre-set deviable parameter value. If it exceeds or is lower than the deviable parameter value, it is judged to be not the optimal sliding pressure curve, otherwise it is the optimal sliding pressure curve.

[0072] Furthermore, in this embodiment, by designing the optimization method, by regularly collecting the target load point data of the unit in the effective operating load range within a preset period, and preprocessing the target load point data, on the basis of establishing a conversion relationship model for converting the unit's thermal load into electrical load, by simulating the actual operating parameters of the unit's thermal and electric load conversion relationship model, the average value of the simulated unit's thermal and electric load conversion relationship model operating parameters is compared with the average value of the standard unit's thermal and electric load conversion relationship model operating parameters. If the average value of the simulated unit's thermal and electric load conversion relationship model operating parameters is less than or equal to the average value of the standard unit's thermal and electric load conversion relationship model operating parameters, it is determined that the unit is in a stable operating condition under the current sliding pressure condition, and then the heat consumption rate corresponding to each main steam pressure of each load point is calculated based on the preprocessed data, and each load point, each main steam pressure corresponding to each load point, and each load point are compared. The heat consumption rate corresponding to each main steam pressure at each load point is updated as data to the database. In addition, according to the heat consumption rate corresponding to each main steam pressure at each load point, the corresponding heat consumption curve is obtained, and then the optimal sliding pressure curve is compared with the standard optimized pressure curve to obtain the difference in the degree of deviation, and then the deviation warning signal is fed back to the information control library. By analyzing, judging and making a decision based on the signal obtained from the information control library, the specific details are as follows: the allowable deviation parameter value is set in advance, and then the actual deviation value is compared with the pre-set deviable parameter value. If it exceeds or is lower than the deviable parameter value, it is judged that it is not the optimal sliding pressure curve, otherwise it is the optimal sliding pressure curve. Then, when the unit is controlled to operate with the optimal sliding pressure curve, the operating condition of the unit can be closer to the optimal sliding pressure condition, so as to improve the accuracy of the unit's sliding pressure optimization operation control, thereby facilitating the reduction of the unit's heat consumption rate and improving the energy-saving and consumption-reducing benefits of the unit's sliding pressure optimization operation.

[0073] Example 2

[0074] Based on Example 1, a preferred embodiment of a unit sliding pressure control system based on thermal power load conditions provided by the present invention is as follows: Figure 1 As shown: A unit sliding pressure control system based on thermal power load conditions, comprising:

[0075] A collection unit is used to collect target load point data of the unit during the effective operation load range;

[0076] A preprocessing module is used to preprocess the target load point data;

[0077] The judgment unit judges whether the unit has a stable operating condition under the current sliding pressure condition after preprocessing the target load point data. If not, it returns to the acquisition unit and re-preprocesses. If yes, it transmits the information to the calculation unit;

[0078] The calculation unit calculates the heat consumption rate corresponding to each main steam pressure of each load point according to the preprocessed data;

[0079] A database, used to update each load point, each main steam pressure corresponding to each load point, and the heat consumption rate corresponding to each main steam pressure at each load point as data into the database;

[0080] The deviation warning signal device compares the optimal sliding pressure curve with the standard optimized pressure curve to obtain the difference in the degree of deviation, and then the deviation warning signal is fed back to the information control library;

[0081] Information control library, which stores information;

[0082] The module for presetting the permissible deviation parameter value compares the actual deviation value with the pre-set deviable parameter value. If it exceeds or is lower than the deviable parameter value, it is judged as not being the optimal sliding pressure curve, otherwise it is the optimal sliding pressure curve.

[0083] The signal output end of the acquisition unit is signal-connected to the signal input end of the judgment unit, one of the signal output ends of the judgment unit is signal-connected to the signal input end of the acquisition unit through a preprocessing module, another signal output end of the judgment unit is signal-connected to the signal input end of the database, the signal output end of the database is signal-connected to the signal input end of the information control library through a deviation warning signaler, and a module for presetting the allowable deviation parameter value is arranged inside the information control library.

[0084] Furthermore, in this embodiment, by designing the control system, which includes an acquisition unit, a preprocessing module, a judgment unit, a calculation unit, a database, a deviation warning signaler, an information control library, and a module for pre-setting allowable deviation parameter values, the accuracy of the unit's sliding pressure optimization operation control is improved.

[0085] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0086] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for optimizing sliding pressure control of a unit based on thermal power load conditions, characterized in that: The method comprises the following steps: Step 1: regularly collecting target load point data of the unit during the effective operating load range within a preset period, and preprocessing the target load point data; Step 2: After preprocessing the target load point data, determine whether the unit has a stable operating condition under the current sliding pressure condition through the unit thermal and electric load conversion relationship model; Step 3: When it is determined that the unit is in a stable operating condition under the current sliding pressure condition, the heat consumption rate corresponding to each main steam pressure at each load point is calculated based on the preprocessed data; Step 4: updating each load point, each main steam pressure corresponding to each load point, and the heat consumption rate corresponding to each main steam pressure at each load point as data into the database; Step 5: Repeat Step 3 and Step 4, so that all load points, main steam pressures corresponding to the load points, and heat consumption rates corresponding to the main steam pressures of the load points are compared as sample data; Step six: according to the samples in the database, the optimal sliding pressure curve of the unit is determined with the goal of minimizing the heat rate, and the unit is controlled to operate according to the optimal sliding pressure curve.

2. The method for optimizing unit sliding pressure control based on thermal power load conditions according to claim 1, characterized in that: Preprocessing the target load point data in step 1 includes the following steps: S1. Uniformly select n test conditions with different loads; S2, taking out the test conditions of different loads in S1, respectively recording them as condition A...condition n, using thermal system thermal balance simulation software to establish a simulation model of pure condensing power generation conditions under the load, simulating the actual operation of the thermal power unit under the test condition; S3, for the simulation model in S2, different extraction ports are selected while keeping the steam pressure parameters unchanged, and the heating extraction steam flow rates of the different extraction ports are set accordingly; S4. Calculate the ratio of the electric load of each group to the heating extraction steam flow rate according to the parameters of the simulation model, that is, the conversion coefficient ki between the electric load and the heating extraction steam flow rate; S5. Based on the conversion relationship coefficients ki obtained under these different operating conditions, establish the relationship between the conversion coefficients of each steam extraction port and the unit operating conditions, and draw a relationship curve. The expression of the relationship curve is: ki=f(p0); In the above formula, ki is the conversion coefficient between the heat extraction steam flow rate and the electrical load at the extraction port i, and the unit is kW / (kg / s); p0 is the pressure value of the main steam; S6. Establish the conversion relationship between the total thermal power load and the heating steam flow rate of each steam extraction port: In the above formula, W he is the total thermal power load after conversion, in kW; W e is the actual electrical load of the working condition, in kW; k i is the conversion coefficient between the heating steam flow rate and the electrical load at the steam extraction port i, in kW / (kg / s); m i It represents the mass flow rate of the steam extraction port i, in kg / s; S7. Combining the relationship curve in step S5 and the conversion relationship in step S6, a conversion relationship model for converting the unit thermal load into the electrical load is established.

3. The method for optimizing unit sliding pressure control based on thermal power load conditions according to claim 1, characterized in that: In step one, by simulating the actual operating parameters of the unit's thermal and electric load conversion relationship model, the average value of the simulated unit's thermal and electric load conversion relationship model operating parameters is compared with the average value of the standard unit's thermal and electric load conversion relationship model operating parameters. If the average value of the simulated unit's thermal and electric load conversion relationship model operating parameters is less than or equal to the average value of the standard unit's thermal and electric load conversion relationship model operating parameters, it is determined that the unit is in a stable operating condition under the current sliding pressure condition.

4. The method for optimizing unit sliding pressure control based on thermal power load conditions according to claim 1, characterized in that: In step three, the corresponding heat consumption curve is obtained according to the heat consumption rate corresponding to each main steam pressure at each load point.

5. The method for optimizing unit sliding pressure control based on thermal power load conditions according to claim 1, characterized in that: In step six, the optimal sliding pressure curve is compared with the standard optimized pressure curve to obtain the difference in the degree of deviation, and then the deviation warning signal is fed back to the information control library.

6. The method for optimizing unit sliding pressure control based on thermal power load conditions according to claim 5, characterized in that: The signal obtained by the information control library is analyzed, judged and decided as follows: the permissible deviation parameter value is set in advance, and then the actual deviation value is compared with the pre-set deviable parameter value. If it exceeds or is lower than the deviable parameter value, it is judged to be not the optimal sliding pressure curve, otherwise it is the optimal sliding pressure curve.

7. A system for optimizing the unit sliding pressure control method based on thermal power load conditions as claimed in claim 1, characterized in that: include: A collection unit is used to collect target load point data of the unit during the effective operation load range; A preprocessing module, for preprocessing the target load point data; The judgment unit judges whether the unit has a stable operating condition under the current sliding pressure condition after preprocessing the target load point data. If not, it returns to the acquisition unit and re-preprocesses. If so, it transmits the information to the calculation unit.

8. A system for optimizing the unit sliding pressure control method based on thermal power load conditions as claimed in claim 1, characterized in that: Also includes: The calculation unit calculates the heat consumption rate corresponding to each main steam pressure of each load point according to the preprocessed data; The database is used to update each load point, each main steam pressure corresponding to each load point, and the heat consumption rate corresponding to each main steam pressure at each load point as data into the database.

9. A system for optimizing the unit sliding pressure control method based on thermal power load conditions as claimed in claim 1, characterized in that: Also includes: The deviation warning signal device compares the optimal sliding pressure curve with the standard optimized pressure curve to obtain the difference in the degree of deviation, and then the deviation warning signal is fed back to the information control library; Information control library, which stores information; The module for presetting the permissible deviation parameter value compares the actual deviation value with the pre-set deviable parameter value. If it exceeds or is lower than the deviable parameter value, it is judged as not being the optimal sliding pressure curve, otherwise it is the optimal sliding pressure curve.

10. The unit sliding pressure control system based on thermal power load conditions according to claim 7, characterized in that: The signal output end of the acquisition unit is signal-connected to the signal input end of the judgment unit, one of the signal output ends of the judgment unit is signal-connected to the signal input end of the acquisition unit through a preprocessing module, another signal output end of the judgment unit is signal-connected to the signal input end of a database, the signal output end of the database is signal-connected to the signal input end of an information control library through a deviation warning signaler, and the module for presetting the permitted deviation parameter value is arranged inside the information control library.

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