CN115995849A - Optimized control method and system for heat supply frequency modulation of power plant unit - Google Patents
Optimized control method and system for heat supply frequency modulation of power plant unit Download PDFInfo
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- CN115995849A CN115995849A CN202310112754.5A CN202310112754A CN115995849A CN 115995849 A CN115995849 A CN 115995849A CN 202310112754 A CN202310112754 A CN 202310112754A CN 115995849 A CN115995849 A CN 115995849A
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Abstract
The application relates to the technical field of data processing, and provides an optimal control method and system for heat supply frequency modulation of a power plant unit. Acquiring the pure condensation operation power grid frequency and the boiler power generation coal consumption information; and obtaining the heat supply loss of the extraction condensation operation according to the heat supply demand information of the building, obtaining the heat supply frequency loss of the extraction condensation operation according to the heat supply loss of the extraction condensation operation, obtaining the heat supply coal consumption information of the boiler according to the heat supply frequency loss of the extraction condensation operation, generating a control instruction of the extraction condensation boiler according to the power generation coal consumption information of the boiler and the heat supply coal consumption information of the boiler to execute unit power generation, and performing unit heat supply frequency modulation according to the pure condensation operation power grid frequency and the real-time power grid frequency. The method solves the technical problems that in the prior art, the heat supply frequency modulation control process of the power plant unit is complex and repeated frequency modulation control is needed, so that the power plant unit is insufficient in power grid frequency deviation processing effectiveness and instantaneity, and the technical effects of improving the effectiveness and scientificity of the heat supply frequency modulation optimization control of the power plant unit and reducing the heat supply frequency modulation complexity and the frequency modulation processing repeatability are achieved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an optimal control method and system for heat supply frequency modulation of a power plant unit.
Background
The generator set is an important device for converting heat energy into electric energy in a power plant, and along with the development of science and technology and the continuous increase of central heating demands of residents in winter, the extraction condensing steam turbine with the advantages of the condensing steam turbine and the back pressure steam turbine is used as a novel power plant generator set.
During heating, the steam which does not do work in the condensing unit is extracted from the steam extraction port of the steam turbine and sent to a heat user, and the rest part of the steam is discharged into the condenser to be condensed into water after the steam turbine continues doing work and then returns to the boiler, so that the heat supply capacity of the condensing unit is greatly improved.
Meanwhile, along with the increase of the external heat supply capacity of the extraction condensing unit, how the extraction condensing unit performs heat supply frequency modulation control so as to eliminate power grid frequency deviation fluctuation caused by heat supply, and the extraction condensing unit becomes an important problem to be solved when the central heat supply heating requirement and the electric power safety production requirement of the current balance residents are met.
In summary, in the prior art, there are technical problems that the heat supply frequency modulation control process of the power plant unit is complex and repeated frequency modulation control is required, so that the power plant unit is insufficient in effectiveness and instantaneity for power grid frequency deviation treatment.
Disclosure of Invention
Based on the above, it is necessary to provide an optimization control method and system for heat supply and frequency modulation of a power plant unit, which can improve the effectiveness and scientificity of the optimization control for heat supply and frequency modulation of the power plant unit, and reduce the complexity of heat supply and frequency modulation and repeatability of frequency modulation treatment.
An optimized control method for heat supply frequency modulation of a power plant unit comprises the following steps: acquiring the pure condensation operation power grid frequency and the boiler power generation coal consumption information through the information acquisition device; building heat supply demand information is obtained, the building heat supply demand information is input into a pre-constructed heat supply demand fitting model, and heat supply loss of the condensation operation is obtained, wherein the building heat supply demand information comprises heat supply conveying distance information, heat supply temperature threshold information and heat supply building area information; performing heat energy conversion analysis on the heat supply loss of the extraction and condensation operation to obtain extraction and condensation operation frequency loss; generating boiler heat supply coal consumption information according to the extraction and condensation operation frequency loss; generating a condensation boiler control instruction according to the boiler power generation coal consumption information and the boiler heat supply coal consumption information; executing power generation of a power plant unit based on the extraction condensing boiler control instruction, and acquiring real-time power grid frequency through the power grid frequency monitoring device; and carrying out heat supply frequency modulation on the unit of the power plant according to the pure condensation operation power grid frequency and the real-time power grid frequency.
An optimal control system for heat supply frequency modulation of a power plant unit, the system comprising: the unit information acquisition module is used for acquiring the pure condensation operation power grid frequency and the boiler power generation coal consumption information through the information acquisition device; the heat supply demand acquisition module is used for acquiring building heat supply demand information, inputting the building heat supply demand information into a pre-constructed heat supply demand fitting model to acquire heat supply loss of pumping and condensing operation, wherein the building heat supply demand information comprises heat supply conveying distance information, heat supply temperature threshold information and heat supply building area information; the heat energy conversion analysis module is used for carrying out heat energy conversion analysis on the heat supply loss of the extraction and condensation operation to obtain the extraction and condensation operation frequency loss; the heating coal consumption calculation module is used for generating boiler heating coal consumption information according to the extraction and condensation operation frequency loss; the control instruction generation module is used for generating a condensation boiler control instruction according to the boiler power generation coal consumption information and the boiler heat supply coal consumption information; the power grid frequency acquisition module is used for executing power generation of a power plant unit based on the control instruction of the extraction condensing boiler and acquiring real-time power grid frequency through a power grid frequency monitoring device; and the heat supply frequency modulation execution module is used for carrying out heat supply frequency modulation on the power plant unit according to the pure condensation operation power grid frequency and the real-time power grid frequency.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring the pure condensation operation power grid frequency and the boiler power generation coal consumption information through the information acquisition device;
building heat supply demand information is obtained, the building heat supply demand information is input into a pre-constructed heat supply demand fitting model, and heat supply loss of the condensation operation is obtained, wherein the building heat supply demand information comprises heat supply conveying distance information, heat supply temperature threshold information and heat supply building area information;
performing heat energy conversion analysis on the heat supply loss of the extraction and condensation operation to obtain extraction and condensation operation frequency loss;
generating boiler heat supply coal consumption information according to the extraction and condensation operation frequency loss;
generating a condensation boiler control instruction according to the boiler power generation coal consumption information and the boiler heat supply coal consumption information;
executing power generation of a power plant unit based on the extraction condensing boiler control instruction, and acquiring real-time power grid frequency through the power grid frequency monitoring device;
and carrying out heat supply frequency modulation on the unit of the power plant according to the pure condensation operation power grid frequency and the real-time power grid frequency.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
Acquiring the pure condensation operation power grid frequency and the boiler power generation coal consumption information through the information acquisition device;
building heat supply demand information is obtained, the building heat supply demand information is input into a pre-constructed heat supply demand fitting model, and heat supply loss of the condensation operation is obtained, wherein the building heat supply demand information comprises heat supply conveying distance information, heat supply temperature threshold information and heat supply building area information;
performing heat energy conversion analysis on the heat supply loss of the extraction and condensation operation to obtain extraction and condensation operation frequency loss;
generating boiler heat supply coal consumption information according to the extraction and condensation operation frequency loss;
generating a condensation boiler control instruction according to the boiler power generation coal consumption information and the boiler heat supply coal consumption information;
executing power generation of a power plant unit based on the extraction condensing boiler control instruction, and acquiring real-time power grid frequency through the power grid frequency monitoring device;
and carrying out heat supply frequency modulation on the unit of the power plant according to the pure condensation operation power grid frequency and the real-time power grid frequency.
The optimized control method and the system for the heat supply frequency modulation of the power plant unit solve the technical problems that in the prior art, the heat supply frequency modulation control process of the power plant unit is complex and repeated frequency modulation control is needed, so that the power plant unit is insufficient in effectiveness and instantaneity for power grid frequency deviation treatment, and the technical effects of improving the effectiveness and scientificity of the optimized control of the heat supply frequency modulation of the power plant unit and reducing the complexity and repeatability of the heat supply frequency modulation treatment are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
FIG. 1 is a schematic flow chart of a method for optimizing control of heat supply frequency modulation of a power plant unit according to an embodiment;
FIG. 2 is a schematic flow chart of performing power plant unit heat supply frequency modulation in an optimized control method for power plant unit heat supply frequency modulation according to an embodiment;
FIG. 3 is a block diagram of an optimized control system for power plant unit heating frequency modulation in one embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Reference numerals illustrate: the system comprises a unit information acquisition module 1, a heat supply demand acquisition module 2, a heat energy conversion analysis module 3, a heat supply coal consumption calculation module 4, a control instruction generation module 5, a power grid frequency acquisition module 6 and a heat supply frequency modulation execution module 7.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1, the application provides an optimization control method for heat supply frequency modulation of a power plant unit, the method is applied to an optimization control system for heat supply frequency modulation of a power plant unit, the system is in communication connection with an information acquisition device, a power grid frequency monitoring device and a unit heat storage acquisition device, and the method comprises the following steps:
s100, acquiring the pure condensation operation power grid frequency and the boiler power generation coal consumption information through the information acquisition device;
specifically, in this embodiment, the information collecting device is in communication connection with a generator set for generating operation in a power plant and a power plant database in which historical operation data of power generation function devices such as the generator set and a boiler of the power plant are recorded.
In this embodiment, the power plant unit is a condensing unit, the steam which does not do work in the heating period in winter is extracted from the steam extraction port of the steam turbine and sent to the heat supply building for users in the building to keep out cold and heat, the rest part of the steam is discharged into the condenser to be condensed into water after the steam turbine continues doing work and then returns to the boiler, and after the heating period is finished, the power plant unit is switched to a pure condensing operation mode, and all the steam is used for doing work and generating electricity in the steam turbine.
The pure condensation operation power grid frequency is the power grid frequency when the power plant unit history is in a non-heating period and the heat energy is completely used for generating the electric energy, and the pure condensation operation power grid frequency is rated value and has consistency with rated frequency data of a power grid in China, and is 50HZ.
Meanwhile, the power grid frequency reflects the balance condition between power generation and power consumption, the embodiment is based on the power grid frequency monitoring device to collect the power generation of the generator set in real time, if the real-time power grid frequency is higher than the pure condensation operation power grid frequency, the current power generation amount is higher than the power consumption, if the real-time power grid frequency is lower than the pure condensation operation power grid frequency, the current power generation amount is lower than the power consumption, and if the real-time power grid frequency is inconsistent with the pure condensation operation power grid frequency, frequency modulation control is needed, so that the power grid frequency is kept stable.
And the power generation coal consumption information is obtained based on a power plant database in which historical operation data of power generation functional equipment such as a power plant generator set, a boiler and the like are recorded by the information acquisition device in a communication connection manner when the power grid frequency of the power plant unit is kept at the pure condensation operation power grid frequency and the heat energy is completely used for being converted into mechanical energy to carry out boiler combustion coal quantity requirement data under the condition of electric energy production.
S200, acquiring building heat supply demand information, and inputting the building heat supply demand information into a pre-constructed heat supply demand fitting model to obtain pumping condensation operation heat supply loss, wherein the building heat supply demand information comprises heat supply conveying distance information, heat supply temperature threshold information and heat supply building area information;
In one embodiment, the obtaining building heat supply requirement information, inputting the building heat supply requirement information into a pre-constructed heat supply requirement fitting model, and obtaining the heat supply loss of the condensation operation, and the method provided in step S200 further includes:
s210, acquiring a sample heat supply conveying distance, a sample heat supply temperature threshold, a sample heat supply building area and sample heat supply loss of a plurality of sample heat supply buildings, and acquiring a sample heat supply conveying distance set, a sample heat supply temperature threshold set, a sample heat supply building area set and a sample heat supply loss set;
s220, constructing and training the heat supply demand fitting model by adopting the sample heat supply conveying distance set, the sample heat supply temperature threshold set, the sample heat supply building area set and the sample heat supply loss set;
s230, inputting the building heat supply demand information into the heat supply demand fitting model circularly for N times to obtain N running heat supply loss data;
s240, calculating the data average value of the N operation heat supply loss to obtain the condensation operation heat supply loss.
In one embodiment, the constructing and training of the heat supply demand fitting model using the sample heat supply conveying distance set, the sample heat supply temperature threshold set, the sample heat supply building area set and the sample heat supply loss set further includes:
S221, carrying out data identification and division on the sample heat supply conveying distance set, the sample heat supply temperature threshold value set, the sample heat supply building area set and the sample heat supply loss set to obtain a training set, a verification set and a test set;
s222, constructing the heat supply demand fitting model based on a deep convolutional neural network;
s223, presetting an output accuracy threshold of the heat supply demand fitting model;
s224, performing iterative supervision training, verification and testing on the heat supply demand fitting model based on the training set, the verification set and the testing set, and judging whether the output accuracy of the heat supply demand fitting model falls into the output accuracy threshold;
and S225, stopping iterative supervision training of the heat supply demand fitting model if the output accuracy of the heat supply demand fitting model falls into the output accuracy threshold.
Specifically, it should be understood that during the heating period, after the steam which does not work in the extraction condensing unit of the thermal power plant is extracted from the steam extraction port of the steam turbine, the steam exchanges heat with water to obtain hot water, the hot water is sent to the heat supply building through the pipeline to be used for cold protection and heating of users in the building, heat loss occurs in the process of conveying the hot water through the pipeline, and the country has qualification requirements on the indoor air temperature during the heating period, and meanwhile, along with the expansion of the heat supply building area and single-layer lifting, the heat requirement for enabling the indoor air temperature of the heat supply building to reach the qualification requirements also changes.
Therefore, the embodiment determines the heat loss of the extraction and condensation operation according to the heat supply conveying distance requirement, the indoor air temperature requirement of the heat supply building and the heat supply building area information, and the heat loss of the extraction and condensation operation is the steam heat which needs to be extracted from the extraction and condensation motor under the condition of meeting the heat supply requirement in the heating period.
In order to improve the data science accuracy of obtaining the heat supply loss of the pumping and condensing operation, the embodiment performs data analysis based on a heat supply demand fitting model to obtain the heat supply loss of the pumping and condensing operation. The input data of the heat supply demand fitting model is the heat supply conveying distance, the heat supply temperature threshold value and the heat supply building area, and the output result is heat supply loss.
The heat supply conveying distance is heat supply pipeline length data of a heat supply building from a heat power plant, the heat supply temperature threshold is the indoor air temperature qualification requirement (for example, X is more than or equal to 18 ℃ and less than or equal to 24 ℃) of a heat supply building or in a heating period under the national standard, and the heat supply building area is the area and the height of a single indoor building such as a bedroom in the heat supply building.
And obtaining a sample heat supply conveying distance set, a sample heat supply temperature threshold set, a sample heat supply building area set and a sample heat supply loss set of the plurality of sample heat supply buildings based on big data acquisition.
Based on a deep convolutional neural network, the heat supply demand fitting model is constructed, the sample heat supply conveying distance set, the sample heat supply temperature threshold set, the sample heat supply building area set and the sample heat supply loss set are used as model training data of the heat supply demand fitting model, and in order to improve the identification accuracy of training data in a model training process and the model training efficiency, the embodiment performs data identification and division on the sample heat supply conveying distance set, the sample heat supply temperature threshold set, the sample heat supply building area set and the sample heat supply loss set to obtain a training set, a verification set and a test set.
And presetting an output accuracy threshold of the heat supply demand fitting model, wherein the output accuracy threshold is used for judging whether to continue the model training of the heat supply demand fitting model so as to improve the output accuracy of the heat supply demand fitting model.
And carrying out iterative supervision training, verification and test on the heat supply demand fitting model based on the training set, the verification set and the test set, judging whether the output accuracy of the heat supply demand fitting model falls into the output accuracy threshold, and stopping the iterative supervision training of the heat supply demand fitting model if the output accuracy of the heat supply demand fitting model falls into the output accuracy threshold.
The building heat supply demand information comprises heat supply conveying distance information, heat supply temperature threshold information and heat supply building area information, the building heat supply demand information is circularly input into the heat supply demand fitting model for N times to obtain N operation heat supply loss data, and it is understood that the output accuracy of the heat supply demand fitting model cannot approach to 100%, so that the same building heat supply demand information is repeatedly input into the heat supply demand fitting model for a plurality of times (for example, N=10 and repeatedly input ten times) to obtain N operation heat supply loss data with data fine difference, and the N operation heat supply loss data average values are calculated to serve as the condensation operation heat supply loss, and the condensation operation heat supply loss is real-time data. The embodiment achieves the technical effects of obtaining more accurate condensing operation heat supply loss data meeting the building heat supply requirement of providing heat supply service by a heating period power plant and providing a data basis for boiler coal consumption information in a subsequent determined heating period.
S300, carrying out heat energy conversion analysis on the heat supply loss of the extraction and condensation operation to obtain the extraction and condensation operation frequency loss;
s400, generating boiler heat supply coal consumption information according to the extraction and condensation operation frequency loss;
In particular, it should be understood that, in the power plant unit converts steam heat energy into electric energy through the steam turbine, so that a certain conversion efficiency exists between the heat energy and the electric energy, based on this characteristic, the embodiment calculates and back-pushes the power grid frequency generated by the power plant unit in the actual electric energy production scene according to the heat supply loss of the extraction condensation operation of the steam heat energy which is characterized by not being converted into the electric energy, and obtains the loss of the extraction condensation operation frequency.
Meanwhile, the data relation between the actual generated electric energy of the power plant unit and the combustion amount of the boiler coal is obtained, data conversion is conducted for the second time, the boiler heat supply coal consumption information is generated according to the pumping and condensing operation frequency loss, and the boiler heat supply coal consumption information is the boiler coal combustion amount data which meets the heat demand of the building heat supply demand information.
S500, generating a condensation boiler control instruction according to the boiler power generation coal consumption information and the boiler heat supply coal consumption information;
s600, executing power generation of a power plant unit based on the extraction condensing boiler control instruction, and acquiring real-time power grid frequency through the power grid frequency monitoring device;
specifically, it should be understood that if the operation of the condensing unit is to maintain the pure condensing operation grid frequency in real time in a heating season, and the real-time steam heat extraction of the condensing unit meets the building heat supply demand information, the boiler coal combustion amount needs to be increased, and the specific boiler coal increase amount is the boiler heat supply coal consumption information.
The boiler coal combustion amount obtained by adding the boiler power generation coal consumption information and the boiler heat supply coal consumption information is the real-time demand of the heating season set for boiler coal combustion, so that a set of generator sets generates a set of extraction boiler control instructions according to the boiler power generation coal consumption information and the boiler heat supply coal consumption information, and boiler coal combustion amount control is performed based on the set of extraction boiler control instructions so as to enable the generator sets to generate power and operate.
In theory, the power grid frequency value in the current operation process of the generator set is the pure condensation operation power grid frequency, however, in the actual operation process of the generator set, the power consumption and the power generation are possibly not adapted, so that the power grid frequency value is inconsistent with the pure condensation operation power grid frequency.
The embodiment is based on the power grid frequency monitoring device for collecting the real-time power grid frequency of the power generation of the generator set, if the real-time power grid frequency is higher than the pure condensation operation power grid frequency, the current power generation amount is higher than the power consumption amount, if the real-time power grid frequency is lower than the pure condensation operation power grid frequency, the current power generation amount is lower than the power consumption amount, and if the real-time power grid frequency is inconsistent with the pure condensation operation power grid frequency, the frequency modulation control is needed, so that the power grid frequency is kept stable.
And S700, performing heat supply frequency modulation on the power plant unit according to the pure condensation operation power grid frequency and the real-time power grid frequency.
In one embodiment, as shown in fig. 2, the method step S700 further includes:
s710, judging whether the real-time power grid frequency meets the pure condensation operation power grid frequency or not;
s720, if the real-time power grid frequency does not meet the pure condensation operation power grid frequency, generating a power grid deviation signal;
s730, acquiring heat supply frequency modulation control parameters based on the power grid deviation signals, wherein the heat supply frequency modulation control parameters comprise M heat supply steam extraction valve opening degrees, M wind pressure setting parameters and M oxygen amount setting parameters;
s740, obtaining unit heat storage information through the unit heat storage acquisition device;
s750, performing simulated frequency difference experimental optimization according to the heat storage information of the unit, the opening degree of M heat supply and steam extraction regulating gates, wind pressure setting parameters and oxygen quantity setting parameters to obtain optimal frequency modulation parameters;
and S760, performing heat supply frequency modulation of the power plant unit based on the optimal frequency modulation parameter.
In one embodiment, the determining whether the real-time grid frequency meets the pure condensation operation grid frequency further includes:
S711, judging whether the real-time power grid frequency meets the pure condensation operation power grid frequency;
s712, if the real-time power grid frequency meets the pure condensation operation power grid frequency, generating a power grid frequency continuous monitoring instruction;
s713, continuously monitoring the power grid frequency based on the power grid frequency continuous monitoring instruction to obtain dynamic power grid frequency;
s714, judging whether the dynamic power grid frequency meets the pure condensation operation power grid frequency, and carrying out heat supply frequency modulation on the power plant unit according to the pure condensation operation power grid frequency and the dynamic power grid frequency when the dynamic power grid frequency does not meet the pure condensation operation power grid frequency.
Specifically, in this embodiment, it is determined whether the real-time power grid frequency meets the pure-condensation operation power grid frequency, that is, the real-time power grid frequency data is equal to the pure-condensation operation power grid frequency, and if the real-time power grid frequency does not meet the pure-condensation operation power grid frequency, a power grid deviation signal is generated.
It should be understood that, in this embodiment, by adjusting the opening of the heat supply extraction valve of the extraction condensing unit in the power plant unit, adjusting the amount of coal entering the boiler and the oxygen supply when the boiler burns coal, the power generation of the power plant unit actually accords with the change, so as to realize the stable power grid frequency, and the real-time power grid frequency (dynamic power grid frequency) value of the power plant unit returns to the pure condensing operation power grid frequency.
After the power grid deviation signal is generated, the embodiment performs historical data calling through the information acquisition device which is in communication connection with a power generating unit used for generating power and running in a power plant and a power plant database recorded with historical running data of power generating function equipment such as the power generating unit and a boiler, when the historical generating unit generates a historical power grid deviation signal with the same value as the power grid deviation signal, a historical heat supply frequency modulation control parameter set with stable power grid frequency is obtained, wherein the heat supply frequency modulation control parameter comprises M heat supply steam extraction valve opening degrees, M wind pressure setting parameters and M oxygen quantity setting parameters, the wind pressure setting parameters are fuel quantity for controlling entering the boiler, and the oxygen quantity setting parameters are oxygen content for controlling air entering the boiler.
The unit heat storage information is obtained through the unit heat storage collection device, and it is understood that after frequency modulation is performed by power grid frequency deviation, the power plant unit heat storage can enable the load requirement of the frequency modulation to be consistent with the load response of the generator set for a period of time, so that unstable load change caused by power plant unit heat storage needs to be avoided.
Specifically, in this embodiment, according to the heat storage information of the unit, the opening degree of the M heat supply and steam extraction regulating gates, the wind pressure setting parameters, and the oxygen setting parameters, the analog frequency difference experiment optimization is performed to obtain the optimal frequency modulation parameters, where the optimal frequency modulation parameters include the opening degree adjusting parameters of the heat supply and steam extraction regulating gates, the wind pressure setting value adjusting parameters, and the oxygen setting value adjusting parameters, and the heat supply and frequency modulation of the power plant unit is performed based on the optimal frequency modulation parameters. In this embodiment, a method for performing the optimization of the analog frequency difference experiment to obtain the optimal frequency modulation parameter is described in detail in the following description.
Further, if the real-time power grid frequency meets the pure condensation operation power grid frequency, generating a power grid frequency continuous monitoring instruction, wherein the power grid frequency continuous monitoring instruction is used for controlling the power grid frequency monitoring device to continuously monitor and acquire the real-time power grid frequency in the process of the power plant unit.
And continuously monitoring the power grid frequency based on the power grid frequency continuous monitoring instruction to obtain a dynamic power grid frequency, wherein the dynamic power grid frequency is consistent with the real-time power grid frequency in meaning, only expression distinction is carried out, and in the process of controlling the power grid frequency monitoring device to continuously monitor, data value comparison is carried out on the dynamic power grid frequency obtained each time and the pure coagulation operation power grid frequency, so as to judge whether the dynamic power grid frequency meets the pure coagulation operation power grid frequency.
When the dynamic power grid frequency does not meet the pure condensation operation power grid frequency, the same method for carrying out heat supply and frequency modulation of the power plant unit according to the pure condensation operation power grid frequency and the real-time power grid frequency is adopted, and the heat supply and frequency modulation of the power plant unit is carried out according to the pure condensation operation power grid frequency and the dynamic power grid frequency, so that the technical effects of improving the heat supply and frequency modulation optimal control effectiveness of the power plant unit and reducing the heat supply and frequency modulation complexity and the frequency modulation processing repeatability are achieved.
In one embodiment, the performing the simulation frequency difference experiment optimizing according to the heat storage information of the unit, the opening degree of the M heat supply and steam extraction regulating gates, the M wind pressure setting parameters, and the M oxygen amount setting parameters to obtain the optimal frequency modulation parameters, and the method step S750 provided in the application further includes:
s751, selecting a first parameter in the heat supply frequency modulation control parameters as a first optimizing direction, and executing frequency modulation parameter optimizing;
s752, obtaining a first frequency modulation parameter optimizing result;
s753, selecting a second parameter in the heat supply frequency modulation control parameters as a second optimizing direction, bringing the second parameter into the optimizing result of the first frequency modulation parameter, and executing frequency modulation parameter optimizing;
s754, obtaining a second frequency modulation parameter optimizing result;
s755, selecting a third parameter in the heat supply frequency modulation control parameters as a third optimizing direction, bringing the first frequency modulation parameter optimizing result and the second frequency modulation parameter optimizing result, and executing frequency modulation parameter optimizing;
s756, obtaining a third frequency modulation parameter optimizing result;
s757, the first frequency modulation parameter optimizing result, the second frequency modulation parameter optimizing result and the third frequency modulation parameter optimizing result form the optimal frequency modulation parameter.
In one embodiment, the performing the simulation frequency difference experiment optimizing according to the heat storage information of the unit, the opening degrees of the M heat supply and steam extraction regulating gates, the M wind pressure setting parameters, and the M oxygen amount setting parameters to obtain the optimal frequency modulation parameters, and before the step S750 of the method provided by the present application further includes:
S751-1, presetting a threshold value of optimizing iteration times;
s751-2, judging whether the optimizing iteration number meets the optimizing iteration number threshold value or not in the process of executing frequency modulation parameter optimizing based on the optimizing direction selected by the heating frequency modulation control parameter;
and S751-3, if the optimizing iteration times meet the optimizing iteration times threshold, stopping optimizing the frequency modulation parameter to obtain the optimal frequency modulation parameter.
Specifically, in this embodiment, step S750 is performed, and meanwhile, analog frequency difference experimental optimization is performed according to the heat storage information of the unit, the opening degrees of M heat supply and steam extraction regulating gates, the wind pressure setting parameters, and the oxygen amount setting parameters, so as to obtain an optimal embodiment of the optimal frequency modulation parameters.
In this embodiment, the historical operation data of the power plant unit and the basic data of the power plant unit are called through the information acquisition device which is in communication connection with the power plant database in which the historical operation data of the power plant generating unit, the boiler and other power generation functional equipment are recorded and the power generating unit is used for generating power operation.
And constructing a power plant unit operation data model according to the power plant unit equipment basic data and the power plant unit historical operation data, and adjusting parameters of the power plant unit operation data model according to the pure condensation operation power grid frequency, the boiler power generation coal consumption information, the boiler heat supply coal consumption information and the unit heat storage information so as to enable the operation condition of the power plant unit operation data model to be consistent with the current heat supply frequency modulation scene of the power plant unit to be performed.
In the embodiment, the frequency modulation parameter optimizing method is explained by taking the opening degree of the heat supply and steam extraction regulating valve as a first parameter, the wind pressure setting parameter as a second parameter and the oxygen amount setting parameter as a third parameter, and the sequence before and after optimizing the three parameters is not particularly limited.
And selecting a first parameter (opening degree of a heat supply steam extraction regulating valve) in the heat supply frequency modulation control parameters as a first optimizing direction, executing frequency modulation parameter optimizing, setting parameters of a second parameter and a third parameter except the first parameter as fixed values, obtaining M groups of heat supply steam extraction regulating valve opening degree, wind pressure setting parameters and oxygen amount setting parameters, bringing the M groups of heat supply steam extraction regulating valve opening degree, wind pressure setting parameters and oxygen amount setting parameters into a power plant unit operation data model to perform frequency modulation processing, simulating a frequency difference experiment to obtain M frequency difference change data, sequencing the M frequency difference change data from small to large, and taking first parameter data corresponding to the minimum value of the frequency difference change data as a first frequency modulation parameter optimizing result in the first optimizing direction.
And selecting a second parameter (wind pressure setting parameter) in the heat supply frequency modulation control parameters as a second optimizing direction, executing frequency modulation parameter optimizing, and setting parameters of a first parameter and a third parameter except the second parameter as fixed values, wherein the fixed value of the first parameter is set as the optimizing result of the first frequency modulation parameter, so as to obtain the opening degree, the wind pressure setting parameter and the oxygen amount setting parameter of the M groups of heat supply steam extraction regulating doors.
And carrying the opening degree, the wind pressure setting parameters and the oxygen quantity setting parameters of the M groups of heat supply and steam extraction regulating gates into the power plant unit operation data model to carry out frequency modulation processing, obtaining M frequency difference change data through an analog frequency difference experiment, sequencing the M frequency difference change data from small to large, and taking second parameter data corresponding to the minimum value of the frequency difference change data as a second frequency modulation parameter optimizing result in a second optimizing direction.
And selecting a third parameter (oxygen amount setting parameter) in the heat supply frequency modulation control parameters as a third optimizing direction, executing frequency modulation parameter optimizing, setting parameters of a first parameter and a second parameter except the third parameter as fixed values, wherein the fixed value of the first parameter is set as the optimizing result of the first frequency modulation parameter, and the fixed value of the second parameter is set as the optimizing result of the second frequency modulation parameter, so as to obtain the opening degree of the M groups of heat supply and steam extraction regulating gate, the wind pressure setting parameter and the oxygen amount setting parameter.
And carrying the opening degree, the wind pressure setting parameters and the oxygen quantity setting parameters of the M groups of heat supply and steam extraction regulating gates into the power plant unit operation data model to carry out frequency modulation processing, obtaining M frequency difference change data through an analog frequency difference experiment, sequencing the M frequency difference change data from small to large, and taking third parameter data corresponding to the minimum value of the frequency difference change data as a third frequency modulation parameter optimizing result in a third optimizing direction.
And the first frequency modulation parameter optimizing result, the second frequency modulation parameter optimizing result and the third frequency modulation parameter optimizing result form the optimal frequency modulation parameter, and the power plant unit heating frequency modulation is performed based on the optimal frequency modulation parameter.
Meanwhile, in order to avoid infinite optimization in the process of each optimizing direction, so that the heat supply frequency modulation response efficiency of the power plant unit is too slow when the optimal frequency modulation parameters are obtained, the optimizing iteration frequency threshold (the optimizing iteration frequency threshold: X is less than or equal to M) is preset, whether the optimizing iteration frequency meets the optimizing iteration frequency threshold is judged in the process of executing the frequency modulation parameter optimizing process based on the heat supply frequency modulation control parameters, and if the optimizing iteration frequency meets the optimizing iteration frequency threshold, the frequency modulation parameter optimizing is stopped.
The X frequency difference change data in the first parameter/second parameter/third parameter directions are ordered from small to large, the first parameter/second parameter/third parameter data corresponding to the minimum value of the frequency difference change data is used as the first frequency modulation parameter optimizing result/second frequency modulation parameter optimizing result/third frequency modulation parameter optimizing result in the first optimizing direction/second optimizing direction/third optimizing direction, and therefore the efficiency of optimizing to obtain the optimal frequency modulation parameters is improved. According to the embodiment, the optimal frequency modulation parameters are obtained through optimizing, so that the technical effects of improving the effectiveness and scientificity of the optimal control of the heat supply frequency modulation of the power plant unit and reducing the complexity of the heat supply frequency modulation and the repeatability of the frequency modulation processing are achieved.
In one embodiment, as shown in fig. 3, there is provided an optimized control system for heat supply frequency modulation of a power plant unit, including: the heat supply system comprises a unit information acquisition module 1, a heat supply demand acquisition module 2, a heat energy conversion analysis module 3, a heat supply coal consumption calculation module 4, a control instruction generation module 5, a power grid frequency acquisition module 6 and a heat supply frequency modulation execution module 7, wherein:
the unit information acquisition module 1 is used for acquiring the pure condensation operation power grid frequency and the boiler power generation coal consumption information through the information acquisition device;
the heat supply demand acquisition module 2 is used for acquiring building heat supply demand information, inputting the building heat supply demand information into a pre-constructed heat supply demand fitting model to acquire heat supply loss of pumping and condensing operation, wherein the building heat supply demand information comprises heat supply conveying distance information, heat supply temperature threshold information and heat supply building area information;
the heat energy conversion analysis module 3 is used for carrying out heat energy conversion analysis on the heat supply loss of the extraction and condensation operation to obtain the extraction and condensation operation frequency loss;
the heating coal consumption calculation module 4 is used for generating boiler heating coal consumption information according to the extraction and condensation operation frequency consumption;
the control instruction generation module 5 is used for generating a condensation boiler control instruction according to the boiler power generation coal consumption information and the boiler heat supply coal consumption information;
The power grid frequency acquisition module 6 is used for executing power generation of a power plant unit based on the control instruction of the extraction condensing boiler and acquiring real-time power grid frequency through a power grid frequency monitoring device;
and the heat supply frequency modulation execution module 7 is used for carrying out heat supply frequency modulation on the power plant unit according to the pure condensation operation power grid frequency and the real-time power grid frequency.
In one embodiment, the system further comprises:
the power grid frequency judging unit is used for judging whether the real-time power grid frequency meets the pure condensation operation power grid frequency or not;
the deviation signal generation unit is used for generating a power grid deviation signal if the real-time power grid frequency does not meet the pure condensation operation power grid frequency;
the control parameter obtaining unit is used for obtaining heat supply frequency modulation control parameters based on the power grid deviation signals, wherein the heat supply frequency modulation control parameters comprise M heat supply steam extraction valve opening degrees, M wind pressure setting parameters and M oxygen amount setting parameters;
the heat storage information acquisition unit is used for acquiring heat storage information of the unit through the heat storage acquisition device of the unit;
the parameter optimizing execution unit is used for carrying out simulated frequency difference experiment optimizing according to the heat storage information of the unit, the opening degree of the M heat supply and extraction regulating gates, the wind pressure setting parameters and the oxygen quantity setting parameters to obtain optimal frequency modulation parameters;
And the heat supply frequency modulation execution unit is used for carrying out heat supply frequency modulation on the power plant unit based on the optimal frequency modulation parameter.
In one embodiment, the system further comprises:
the frequency modulation parameter optimizing unit is used for selecting a first parameter in the heat supply frequency modulation control parameters as a first optimizing direction and executing frequency modulation parameter optimizing;
the optimizing result obtaining unit is used for obtaining a first frequency modulation parameter optimizing result;
the parameter optimizing execution unit is used for selecting a second parameter in the heat supply frequency modulation control parameters as a second optimizing direction, bringing the second parameter into the first frequency modulation parameter optimizing result and executing frequency modulation parameter optimizing;
the optimizing result generating unit is used for obtaining a second frequency modulation parameter optimizing result;
the parameter optimizing processing unit is used for selecting a third parameter in the heat supply frequency modulation control parameters as a third optimizing direction, bringing the first frequency modulation parameter optimizing result and the second frequency modulation parameter optimizing result into the first frequency modulation parameter optimizing result and executing frequency modulation parameter optimizing;
the optimizing result obtaining unit is used for obtaining a third frequency modulation parameter optimizing result;
and the optimizing result merging unit is used for forming the optimal frequency modulation parameter by the first frequency modulation parameter optimizing result, the second frequency modulation parameter optimizing result and the third frequency modulation parameter optimizing result.
In one embodiment, the system further comprises:
the optimizing iteration limiting unit is used for presetting an optimizing iteration frequency threshold;
the optimizing state judging unit is used for judging whether the optimizing iteration number meets the optimizing iteration number threshold value or not in the process of executing the frequency modulation parameter optimizing based on the heat supply frequency modulation control parameter selecting optimizing direction;
and the optimizing iteration executing unit is used for stopping the frequency modulation parameter optimizing to obtain the optimal frequency modulation parameter if the optimizing iteration times meet the optimizing iteration times threshold value.
In one embodiment, the system further comprises:
the power grid frequency comparison unit is used for judging whether the real-time power grid frequency meets the pure condensation operation power grid frequency or not;
the monitoring instruction generating unit is used for generating a power grid frequency continuous monitoring instruction if the real-time power grid frequency meets the pure condensation operation power grid frequency;
the dynamic data acquisition unit is used for continuously monitoring the power grid frequency based on the power grid frequency continuous monitoring instruction to acquire dynamic power grid frequency;
and the heat supply frequency modulation execution unit is used for judging whether the dynamic power grid frequency meets the pure condensation operation power grid frequency or not, and carrying out heat supply frequency modulation on the power plant unit according to the pure condensation operation power grid frequency and the dynamic power grid frequency when the dynamic power grid frequency does not meet the pure condensation operation power grid frequency.
In one embodiment, the system further comprises:
the sample data acquisition unit is used for acquiring and acquiring sample heat supply conveying distances, sample heat supply temperature thresholds, sample heat supply building areas and sample heat supply losses of a plurality of sample heat supply buildings to acquire a sample heat supply conveying distance set, a sample heat supply temperature threshold set, a sample heat supply building area set and a sample heat supply loss set;
the sample data processing unit is used for constructing and training the heat supply demand fitting model by adopting the sample heat supply conveying distance set, the sample heat supply temperature threshold set, the sample heat supply building area set and the sample heat supply loss set;
the model processing execution unit is used for inputting the building heat supply demand information into the heat supply demand fitting model circularly for N times to obtain N running heat supply loss data;
and the heating loss calculation unit is used for calculating the N running heating loss data average values to obtain the condensation running heating loss.
In one embodiment, the system further comprises:
the sample data identification unit is used for carrying out data identification and division on the sample heat supply conveying distance set, the sample heat supply temperature threshold value set, the sample heat supply building area set and the sample heat supply loss set to obtain a training set, a verification set and a test set;
The model construction execution module is used for constructing the heat supply demand fitting model based on the deep convolutional neural network;
the model training judging unit is used for presetting an output accuracy threshold of the heat supply demand fitting model;
the model training execution unit is used for carrying out iterative supervision training, verification and testing on the heat supply demand fitting model based on the training set, the verification set and the test set, and judging whether the output accuracy of the heat supply demand fitting model falls into the output accuracy threshold;
and the model training generating unit is used for stopping the iterative supervision training of the heat supply demand fitting model if the output accuracy of the heat supply demand fitting model falls into the output accuracy threshold.
For a specific embodiment of an optimizing control system for heat supply frequency modulation of a power plant unit, reference may be made to the above embodiment of an optimizing control method for heat supply frequency modulation of a power plant unit, which is not described herein. All or part of each module in the optimized control device for heat supply and frequency modulation of the power plant unit can be realized by software, hardware and combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing news data, time attenuation factors and other data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to realize an optimal control method for heat supply frequency modulation of the power plant unit.
Those skilled in the art will appreciate that the structures shown in FIG. 4 are block diagrams only and do not constitute a limitation of the computer device on which the present aspects apply, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of: acquiring the pure condensation operation power grid frequency and the boiler power generation coal consumption information through the information acquisition device; building heat supply demand information is obtained, the building heat supply demand information is input into a pre-constructed heat supply demand fitting model, and heat supply loss of the condensation operation is obtained, wherein the building heat supply demand information comprises heat supply conveying distance information, heat supply temperature threshold information and heat supply building area information; performing heat energy conversion analysis on the heat supply loss of the extraction and condensation operation to obtain extraction and condensation operation frequency loss; generating boiler heat supply coal consumption information according to the extraction and condensation operation frequency loss; generating a condensation boiler control instruction according to the boiler power generation coal consumption information and the boiler heat supply coal consumption information; executing power generation of a power plant unit based on the extraction condensing boiler control instruction, and acquiring real-time power grid frequency through the power grid frequency monitoring device; and carrying out heat supply frequency modulation on the unit of the power plant according to the pure condensation operation power grid frequency and the real-time power grid frequency.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. The utility model provides an optimization control method of power plant unit heat supply frequency modulation, its characterized in that, the method is applied to the optimization control system of a power plant unit heat supply frequency modulation, the system with information acquisition device, electric wire netting frequency monitoring devices, unit heat accumulation collection device communication connection, the method includes:
acquiring the pure condensation operation power grid frequency and the boiler power generation coal consumption information through the information acquisition device;
Building heat supply demand information is obtained, the building heat supply demand information is input into a pre-constructed heat supply demand fitting model, and heat supply loss of the condensation operation is obtained, wherein the building heat supply demand information comprises heat supply conveying distance information, heat supply temperature threshold information and heat supply building area information;
performing heat energy conversion analysis on the heat supply loss of the extraction and condensation operation to obtain extraction and condensation operation frequency loss;
generating boiler heat supply coal consumption information according to the extraction and condensation operation frequency loss;
generating a condensation boiler control instruction according to the boiler power generation coal consumption information and the boiler heat supply coal consumption information;
executing power generation of a power plant unit based on the extraction condensing boiler control instruction, and acquiring real-time power grid frequency through the power grid frequency monitoring device;
and carrying out heat supply frequency modulation on the unit of the power plant according to the pure condensation operation power grid frequency and the real-time power grid frequency.
2. The method of claim 1, wherein the power plant unit heating frequency modulation is based on the pure condensing operating grid frequency and the real-time grid frequency, the method further comprising:
judging whether the real-time power grid frequency meets the pure condensation operation power grid frequency or not;
if the real-time power grid frequency does not meet the pure condensation operation power grid frequency, generating a power grid deviation signal;
Acquiring heat supply frequency modulation control parameters based on the power grid deviation signals, wherein the heat supply frequency modulation control parameters comprise M heat supply steam extraction valve opening degrees, M wind pressure setting parameters and M oxygen quantity setting parameters;
acquiring unit heat storage information through the unit heat storage acquisition device;
performing simulated frequency difference experimental optimization according to the heat storage information of the unit, the opening degree of M heat supply and steam extraction regulating gates, the wind pressure setting parameters and the oxygen quantity setting parameters to obtain optimal frequency modulation parameters;
and carrying out heat supply frequency modulation on the power plant unit based on the optimal frequency modulation parameter.
3. The method of claim 2, wherein the performing an analog frequency difference experimental optimization according to the unit heat storage information, the opening of M heat supply and extraction regulating gates, the M wind pressure setting parameters, and the M oxygen amount setting parameters to obtain an optimal frequency modulation parameter, the method further comprises:
selecting a first parameter in the heat supply frequency modulation control parameters as a first optimizing direction, and executing frequency modulation parameter optimizing;
obtaining a first frequency modulation parameter optimizing result;
selecting a second parameter in the heat supply frequency modulation control parameters as a second optimizing direction, and carrying out frequency modulation parameter optimizing by introducing the optimizing result of the first frequency modulation parameter;
Obtaining a second frequency modulation parameter optimizing result;
selecting a third parameter in the heat supply frequency modulation control parameters as a third optimizing direction, and carrying out frequency modulation parameter optimizing by introducing the first frequency modulation parameter optimizing result and the second frequency modulation parameter optimizing result;
obtaining a third frequency modulation parameter optimizing result;
the first frequency modulation parameter optimizing result, the second frequency modulation parameter optimizing result and the third frequency modulation parameter optimizing result form the optimal frequency modulation parameter.
4. The method of claim 2, wherein the performing an analog frequency difference experimental optimization according to the unit heat storage information, the opening of M heat supply and steam extraction regulating gates, the M wind pressure setting parameters, and the M oxygen amount setting parameters to obtain the optimal frequency modulation parameters, and the method further comprises:
presetting a optimizing iteration number threshold;
judging whether the optimizing iteration number meets the optimizing iteration number threshold value or not in the process of executing the frequency modulation parameter optimizing based on the heat supply frequency modulation control parameter selecting optimizing direction;
and if the optimizing iteration times meet the optimizing iteration times threshold, stopping optimizing the frequency modulation parameter to obtain the optimal frequency modulation parameter.
5. The method of claim 2, wherein the determining whether the real-time grid frequency meets the pure-curtailed operating grid frequency further comprises:
Judging whether the real-time power grid frequency meets the pure condensation operation power grid frequency or not;
if the real-time power grid frequency meets the pure condensation operation power grid frequency, generating a power grid frequency continuous monitoring instruction;
continuously monitoring the power grid frequency based on the power grid frequency continuous monitoring instruction to obtain a dynamic power grid frequency;
judging whether the dynamic power grid frequency meets the pure condensation operation power grid frequency, and carrying out heat supply frequency modulation on a power plant unit according to the pure condensation operation power grid frequency and the dynamic power grid frequency when the dynamic power grid frequency does not meet the pure condensation operation power grid frequency.
6. The method of claim 1, wherein the obtaining building heating demand information, inputting the building heating demand information into a pre-constructed heating demand fitting model, obtaining a draw-condensing operation heating loss, the method further comprising:
acquiring a sample heat supply conveying distance, a sample heat supply temperature threshold, a sample heat supply building area and sample heat supply loss of a plurality of sample heat supply buildings to obtain a sample heat supply conveying distance set, a sample heat supply temperature threshold set, a sample heat supply building area set and a sample heat supply loss set;
Constructing and training the heat supply demand fitting model by adopting the sample heat supply conveying distance set, the sample heat supply temperature threshold set, the sample heat supply building area set and the sample heat supply loss set;
inputting the building heat supply demand information into the heat supply demand fitting model circularly for N times to obtain N running heat supply loss data;
and calculating the N operation heat supply loss data average values to obtain the extraction condensation operation heat supply loss.
7. The method of claim 6, wherein the constructing and training of the heating demand fit model is performed using the set of sample heating delivery distances, the set of sample heating temperature thresholds, the set of sample heating building areas, and the set of sample heating losses, the method further comprising:
carrying out data identification and division on the sample heat supply conveying distance set, the sample heat supply temperature threshold set, the sample heat supply building area set and the sample heat supply loss set to obtain a training set, a verification set and a test set;
constructing the heat supply demand fitting model based on a deep convolutional neural network;
presetting an output accuracy threshold of the heat supply demand fitting model;
performing iterative supervision training, verification and testing on the heat supply demand fitting model based on the training set, the verification set and the testing set, and judging whether the output accuracy of the heat supply demand fitting model falls into the output accuracy threshold;
And if the output accuracy of the heat supply demand fitting model falls into the output accuracy threshold, stopping iterative supervision training of the heat supply demand fitting model.
8. An optimal control system for heat supply frequency modulation of a power plant unit, which is characterized by comprising:
the unit information acquisition module is used for acquiring the pure condensation operation power grid frequency and the boiler power generation coal consumption information through the information acquisition device;
the heat supply demand acquisition module is used for acquiring building heat supply demand information, inputting the building heat supply demand information into a pre-constructed heat supply demand fitting model to acquire heat supply loss of pumping and condensing operation, wherein the building heat supply demand information comprises heat supply conveying distance information, heat supply temperature threshold information and heat supply building area information;
the heat energy conversion analysis module is used for carrying out heat energy conversion analysis on the heat supply loss of the extraction and condensation operation to obtain the extraction and condensation operation frequency loss;
the heating coal consumption calculation module is used for generating boiler heating coal consumption information according to the extraction and condensation operation frequency loss;
the control instruction generation module is used for generating a condensation boiler control instruction according to the boiler power generation coal consumption information and the boiler heat supply coal consumption information;
The power grid frequency acquisition module is used for executing power generation of a power plant unit based on the control instruction of the extraction condensing boiler and acquiring real-time power grid frequency through a power grid frequency monitoring device;
and the heat supply frequency modulation execution module is used for carrying out heat supply frequency modulation on the power plant unit according to the pure condensation operation power grid frequency and the real-time power grid frequency.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 7.
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