CN117639112B - Wind power generation control method, system and medium based on air film system - Google Patents
Wind power generation control method, system and medium based on air film system Download PDFInfo
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Abstract
The embodiment of the application provides a wind power generation control method, a wind power generation control system and a wind power generation control medium based on a gas film system. The method comprises the following steps: acquiring wind power resource distribution database information and air film system position information, inquiring to obtain wind power resource data, acquiring air film system scale information, ventilation demand information and energy consumption information, performing post-processing to obtain air film system energy demand data, inputting the wind power resource data and the air film system energy demand data into a preset wind power energy supply equipment evaluation model to process to obtain wind power generation supply and storage capacity data, acquiring air film system real-time electric energy demand information and real-time wind power generation supply and storage capacity information, comparing to obtain electric energy supply mode information, and selecting a proper energy supply mode according to the electric energy supply mode information; the wind power generation control technology is realized by combining the real-time electric energy demand information and the real-time wind power generation power supply and storage capacity information.
Description
Technical Field
The application relates to the field of wind power generation control, in particular to a wind power generation control method, a wind power generation control system and a wind power generation control medium based on a gas film system.
Background
The air film system is a building structure system which uses special building film materials as a shell, is provided with an intelligent electromechanical device to provide positive pressure of air in the air film system and supports a building main body. The air film system is used as a novel building form, has the advantages of energy conservation, environmental protection, sustainability and the like, and is widely applied. The use of the air film system needs to keep the pressure difference between the inside and the outside at any time, so that the support of electric power sources is not separated. At present, along with the energy crisis and the obvious environmental problem, the electricity cost is also continuously increased. Accordingly, the utilization of new energy is increasingly paid attention to. Wind power generation is widely used in the world as a clean, renewable energy source. However, the air film has few combined applications of the air film system and wind power generation at present, and how to apply the wind power generation technology to the air film system to improve the energy utilization efficiency and reasonably control the air film is a problem to be solved at present.
In view of the above problems, an effective technical solution is currently needed.
Disclosure of Invention
The application aims to provide a wind power generation control method, a system and a medium based on a gas film system, which can realize that wind power resource data is obtained by inquiring after obtaining wind power resource distribution database information and gas film system position information, gas film system energy demand data is obtained by obtaining gas film system scale information, ventilation demand information and energy consumption information after processing, wind power resource data and the gas film system energy demand data are input into a preset wind power supply equipment evaluation model for processing to obtain wind power generation and storage capacity data, and electric energy supply mode information is obtained by comparing the obtained gas film system real-time electric energy demand information and real-time wind power generation and storage capacity information, and a proper energy supply mode is selected according to the electric energy supply mode information; the wind power generation control technology is realized by combining the real-time electric energy demand information and the real-time wind power generation power supply and storage capacity information.
The application also provides a wind power generation control method based on the air film system, which comprises the following steps:
Acquiring wind resource distribution database information and air film system position information, and extracting wind resource data after acquiring wind resource information through inquiring the wind resource distribution database according to the air film system position information;
acquiring air film system scale information, air exchange demand information and energy consumption information, and respectively extracting air film system volume data, air exchange demand data and energy consumption data;
inputting the volume data, the ventilation demand data and the energy consumption data of the air film system into a preset energy demand model for processing to obtain the energy demand data of the air film system;
Inputting the wind power resource data and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data;
Acquiring real-time electric energy demand information of an air film system, extracting real-time electric energy demand data, acquiring real-time wind power generation power supply and storage quantity information, extracting real-time wind power generation power supply and storage quantity data, and comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to acquire electric energy supply mode information;
and selecting a proper energy supply mode according to the electric energy supply mode information.
Optionally, in the wind power generation control method based on a gas film system of the present application, the obtaining wind power resource distribution database information and gas film system position information, and obtaining wind power resource information according to the gas film system position information by querying the wind power resource distribution database, and then extracting wind power resource data specifically includes:
Acquiring wind resource distribution database information, including position information, average air density information, average wind speed information and a mapping relation table;
Acquiring position information of a gas film system;
According to the position information of the air film system, acquiring wind resource information through inquiry of the wind resource distribution database and extracting wind resource data;
The wind resource data includes average air density data and average wind speed data.
Optionally, in the wind power generation control method based on a gas film system according to the present application, the obtaining gas film system scale information, ventilation demand information and energy consumption information, and extracting gas film system volume data, ventilation demand data and energy consumption data respectively specifically includes:
Acquiring air film system scale information and extracting air film system volume data;
acquiring ventilation demand information, and extracting ventilation demand data, including ventilation frequency data and single ventilation degree data of a preset unit time;
And acquiring energy consumption information, and extracting energy consumption data, wherein the energy consumption data comprises average function energy consumption data, peak function energy consumption data and single unit volume ventilation energy consumption data of preset unit time.
Optionally, in the wind power generation control method based on a gas film system according to the present application, the inputting the volume data, the ventilation demand data and the energy consumption data of the gas film system into a preset energy demand model to obtain the energy demand data of the gas film system specifically includes:
Inputting the volume data, the ventilation frequency data, the single ventilation degree data, the single unit volume ventilation energy consumption data and the average function energy consumption data of the air film system into a preset energy demand model for processing to obtain air film system energy demand data;
The energy demand formula of the air film system in the preset energy demand model is as follows:
;
wherein, For air film system energy demand data,/>For air film system volume data,/>For the data of the number of ventilation times,Is the data of single ventilation degree,/>For single unit volume ventilation energy consumption data,/>For average functional energy consumption data,/>The floating coefficient is preset as an energy standard.
Optionally, in the wind power generation control method based on a gas film system according to the present application, the inputting the wind power resource data and the gas film system energy demand data into a preset wind power supply equipment evaluation model to obtain wind power generation storage capacity data specifically includes:
Obtaining wind energy resources through wind energy resource calculation model processing according to the wind energy resource data;
comparing the wind energy resource with a preset wind power construction threshold value to obtain wind power construction conditions, including suitable construction and unsuitable construction;
if the wind power construction condition is suitable for construction, inputting the wind energy resource and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data, wherein the wind power generation supply and storage capacity data comprises installed capacity data of wind power generation equipment and capacity data of energy storage equipment.
Optionally, in the wind power generation control method based on the air film system of the present application, the obtaining real-time power demand information of the air film system and extracting real-time power demand data, obtaining real-time wind power generation power supply and storage amount information and extracting real-time wind power generation power supply and storage amount data, and comparing the real-time power demand data with the real-time wind power generation power supply and storage amount data to obtain power supply mode information specifically includes:
acquiring real-time electric energy demand information of the air film system and extracting real-time electric energy demand data;
acquiring real-time wind power generation power supply and storage quantity information and extracting real-time wind power generation power supply and storage quantity data;
comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to obtain a supply and demand situation index;
and comparing the supply and demand condition index with a preset supply and demand mode threshold value to obtain electric energy supply mode information, wherein the electric energy supply mode information comprises wind power supply, wind power energy storage hybrid power supply, wind power and mains supply hybrid power supply and wind power energy storage hybrid power supply.
Optionally, in the wind power generation control method based on the air film system according to the present application, the method further includes:
acquiring real-time electric energy reserve information of energy storage equipment and extracting real-time electric energy reserve data;
acquiring charge and discharge condition information of the energy storage equipment within preset time, including charged and discharged and uncharged and discharged, and extracting charge and discharge condition data;
Acquiring the preset times of charge and discharge cycles and a discharge stored electric quantity proportion threshold value in preset time;
comparing the real-time electric energy reserve data with the capacity data of the energy storage equipment to obtain stored electric quantity proportion data;
and inputting the charge and discharge condition data, the stored electric quantity proportion data, the preset charge and discharge cycle times and the discharge stored electric quantity proportion threshold value into an energy storage device management model to obtain charge and discharge state information of the energy storage device, wherein the charge and discharge state information comprises discharge prohibition, charge and discharge start.
Optionally, in the wind power generation control method based on the air film system according to the present application, the method further includes:
acquiring air density information of an exhaust port and impeller area information of wind power generation equipment, and extracting air density data and impeller area data;
acquiring physical environment information at an exhaust port of the air film system, wherein the physical environment information comprises air flow speed information, pressure information and temperature information;
Respectively extracting air flow speed data, pressure difference data and temperature difference data according to the air flow speed information, the pressure information and the temperature information;
Inputting the air flow speed data, the pressure difference data and the temperature difference data into a wind power generation power model to obtain wind power generation power data;
the wind power generation power formula in the wind power generation power model is as follows:
;
wherein, For wind power generation power,/>Is the pressure difference data,/>Is data of temperature difference,/>As a result of the air density data,For impeller area data,/>Is the air flow velocity data,/>、/>、/>Is a preset characteristic coefficient.
In a second aspect, the present application provides a wind power generation control system based on a gas film system, the system comprising: the device comprises a memory and a processor, wherein the memory comprises a program of a wind power generation control method based on a gas film system, and the program of the wind power generation control method based on the gas film system realizes the following steps when being executed by the processor:
Acquiring wind resource distribution database information and air film system position information, and extracting wind resource data after acquiring wind resource information through inquiring the wind resource distribution database according to the air film system position information;
acquiring air film system scale information, air exchange demand information and energy consumption information, and respectively extracting air film system volume data, air exchange demand data and energy consumption data;
inputting the volume data, the ventilation demand data and the energy consumption data of the air film system into a preset energy demand model for processing to obtain the energy demand data of the air film system;
Inputting the wind power resource data and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data;
Acquiring real-time electric energy demand information of an air film system, extracting real-time electric energy demand data, acquiring real-time wind power generation power supply and storage quantity information, extracting real-time wind power generation power supply and storage quantity data, and comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to acquire electric energy supply mode information;
and selecting a proper energy supply mode according to the electric energy supply mode information.
In a third aspect, the present application further provides a readable storage medium, where the readable storage medium includes a wind power generation control method program based on a gas film system, where the wind power generation control method program based on a gas film system implements the steps of the wind power generation control method based on a gas film system according to any one of the above.
From the above, the wind power generation control method, system and medium based on the air film system provided by the application. According to the method, wind power resource data are obtained by inquiring after wind power resource distribution database information and air film system position information are obtained, air film system scale information, ventilation demand information and energy consumption information are obtained, air film system energy demand data are obtained by processing, the wind power resource data and the air film system energy demand data are input into a preset wind power supply equipment assessment model to be processed to obtain wind power generation supply and storage capacity data, real-time electric energy demand information and real-time wind power generation and storage capacity information of the air film system are obtained, then electric energy supply mode information is obtained by comparing, and a proper energy supply mode is selected according to the electric energy supply mode information; the wind power generation control technology is realized by combining the real-time electric energy demand information and the real-time wind power generation power supply and storage capacity information.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a wind power generation control method based on a gas film system according to an embodiment of the present application;
FIG. 2 is a flowchart of a method for controlling wind power generation based on a gas film system to obtain data of the storage capacity of wind power generation according to an embodiment of the present application;
Fig. 3 is a flowchart of obtaining information of an electric energy supply mode according to a wind power generation control method based on a gas film system according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of a wind power generation control method based on a gas film system according to some embodiments of the application. The wind power generation control method based on the air film system is used in terminal equipment, such as a computer. The wind power generation control method based on the air film system comprises the following steps of:
S11, acquiring wind resource distribution database information and air film system position information, and extracting wind resource data after acquiring wind resource information through inquiring the wind resource distribution database according to the air film system position information;
S12, acquiring air film system scale information, ventilation demand information and energy consumption information, and respectively extracting air film system volume data, ventilation demand data and energy consumption data;
s13, inputting the volume data, the ventilation demand data and the energy consumption data of the air film system into a preset energy demand model for processing to obtain the energy demand data of the air film system;
S14, inputting the wind power resource data and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data;
S15, acquiring real-time electric energy demand information of the air film system, extracting real-time electric energy demand data, acquiring real-time wind power generation power supply and storage quantity information, extracting real-time wind power generation power supply and storage quantity data, and comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to acquire electric energy supply mode information;
S16, selecting a proper energy supply mode according to the electric energy supply mode information.
The method comprises the steps of planning the installed capacity of wind power generation equipment and the capacity of energy storage equipment to realize wind power generation of a gas film system, so that the method can be more suitable for actual optimal control. Wind power resources in different areas are different, so that wind power resource distribution database information and air film system position information are obtained, and wind power resource data are extracted; acquiring air film system scale information, ventilation demand information and energy consumption information, extracting and obtaining air film system volume data, ventilation demand data and energy consumption data, wherein the air film system volume data, the ventilation demand data and the energy consumption data influence the energy demand condition of an air film system, so that the air film system energy demand data is obtained after the air film system volume data, the ventilation demand data and the energy consumption data are processed, then wind power resource data and the air film system energy demand data are input into a preset wind power energy supply equipment evaluation model to be processed, wind power generation and storage capacity data are obtained, and the wind power generation and storage capacity data comprise two parts, namely the installed capacity of energy supply of wind power generation equipment and the energy storage capacity of energy storage equipment; acquiring real-time electric energy demand information and real-time wind power generation power supply and storage quantity information of the air film system, respectively extracting real-time electric energy demand data and real-time wind power generation power supply and storage quantity data, comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to obtain electric energy supply mode information, and finally selecting a proper energy supply mode according to the electric energy supply mode information.
According to the embodiment of the invention, the wind power resource distribution database information and the air film system position information are obtained, the wind power resource information is obtained through the query of the wind power resource distribution database according to the air film system position information, and then the wind power resource data are extracted, and the method specifically comprises the following steps:
Acquiring wind resource distribution database information, including position information, average air density information, average wind speed information and a mapping relation table;
Acquiring position information of a gas film system;
According to the position information of the air film system, acquiring wind resource information through inquiry of the wind resource distribution database and extracting wind resource data;
The wind resource data includes average air density data and average wind speed data.
The wind power resource distribution database is a database established by analyzing wind power resource distribution data according to statistics of wind power resource information in the past, wherein the database comprises area position information, average air density information and average wind speed information corresponding to the area, and a corresponding mapping relation table is established among the three information; and acquiring the position information of the air film system, inquiring and acquiring wind power resource information of a corresponding position in a wind power resource distribution database according to the acquired position information of the air film system, and extracting wind power resource data, wherein the wind power resource information comprises average air density data and average wind speed data.
According to an embodiment of the present invention, the method for acquiring the air film system scale information, the ventilation demand information and the energy consumption information and extracting the air film system volume data, the ventilation demand data and the energy consumption data respectively specifically includes:
Acquiring air film system scale information and extracting air film system volume data;
acquiring ventilation demand information, and extracting ventilation demand data, including ventilation frequency data and single ventilation degree data of a preset unit time;
And acquiring energy consumption information, and extracting energy consumption data, wherein the energy consumption data comprises average function energy consumption data, peak function energy consumption data and single unit volume ventilation energy consumption data of preset unit time.
The energy requirements of the air film system relate to a plurality of aspects, the scale information of the air film system in stock needs to be comprehensively considered, and the volume data of the air film system is extracted, because the sizes of the volume data are different, the energy requirements in the air film system maintaining process are also different; the air film system is required to be ventilated, different application scenes have different ventilation requirements, ventilation requirement information is obtained, ventilation requirement data is extracted, the ventilation requirement information comprises ventilation frequency data and single ventilation degree data of a preset unit time, the preset unit time can be 24 hours or one week, the ventilation frequency data is set according to user requirements, the single ventilation degree data refers to the percentage of replacement gas in the whole air film system in single ventilation, the single ventilation degree can be set according to the user requirements, and the ventilation degree can be 100% or 80%; besides ventilation energy consumption, the air film system is used as a use scene and also has functional energy consumption, energy consumption information is obtained, and energy consumption data is extracted, wherein the energy consumption data comprises average functional energy consumption data in a preset unit time, peak functional energy consumption data and single unit volume ventilation energy consumption data, the average functional energy consumption data in the unit time refers to the energy consumed in the use process of the functions in the unit time, the peak functional energy consumption data refers to the energy consumption data in the highest peak in the use process of the air film system, and the single unit volume ventilation energy consumption data refers to the energy consumed by updating the unit volume of gas each time in ventilation.
According to an embodiment of the present invention, the processing of inputting the volume data, the ventilation demand data and the energy consumption data of the air film system into a preset energy demand model to obtain the energy demand data of the air film system specifically includes:
Inputting the volume data, the ventilation frequency data, the single ventilation degree data, the single unit volume ventilation energy consumption data and the average function energy consumption data of the air film system into a preset energy demand model for processing to obtain air film system energy demand data;
The energy demand formula of the air film system in the preset energy demand model is as follows:
;
wherein, For air film system energy demand data,/>For air film system volume data,/>For the data of the number of ventilation times,Is the data of single ventilation degree,/>For single unit volume ventilation energy consumption data,/>For average functional energy consumption data,/>The energy standard floating coefficient is preset (the energy standard floating coefficient is obtained by inquiring a wind power generation operation control database of the air film system).
The air film system volume data, the ventilation frequency data, the single ventilation degree data, the single unit volume ventilation energy consumption data and the average function energy consumption data are input into a preset energy demand model to be processed so as to obtain the air film system energy demand data, and the air film system volume data, the ventilation frequency data, the single ventilation degree data and the single unit volume ventilation energy consumption data influence the maintenance energy consumption of the air film system and normal use of the function energy consumption maintenance function.
Referring to fig. 2, fig. 2 is a flowchart of a method for controlling wind power generation based on a gas film system according to an embodiment of the present application to obtain wind power generation power supply and storage capacity data. According to an embodiment of the present application, the inputting the wind resource data and the air film system energy demand data into a preset wind energy supply equipment evaluation model to obtain wind power generation storage capacity data specifically includes:
s21, processing according to the wind resource data through a wind resource calculation model to obtain wind resource;
S22, comparing the wind energy resource with a preset wind power construction threshold value to obtain wind power construction conditions, wherein the wind power construction conditions comprise suitable construction and unsuitable construction;
s23, if the wind power construction condition is suitable for construction, inputting the wind energy resource and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data, wherein the wind power generation supply and storage capacity data comprises installed capacity data of wind power generation equipment and capacity data of energy storage equipment.
After the wind resource data is determined, the wind resource can be correspondingly determined, the wind resource data is input into a wind resource calculation model to be processed to obtain the wind resource, and the calculation formula is as follows:
;
wherein, Wind energy per unit area per unit time,/>For average air density data,/>For average wind speed data,/>The characteristic coefficient is preset (obtained by inquiring a wind power generation operation control database of a gas film system); comparing the wind energy resource with a preset wind power construction threshold value to obtain a wind power construction condition, wherein if the wind energy resource is smaller than the wind power construction threshold value, the wind power generation equipment is not suitable to be constructed, and if the wind energy resource is larger than or equal to the wind power construction threshold value, the wind power generation equipment is suitable to be constructed; if the wind power construction condition is suitable for construction, wind energy resources and energy demand data of the air film system are input into a preset wind power supply equipment evaluation model to be processed, wind power generation supply and storage capacity data are obtained, the wind power generation supply and storage capacity data comprise installed capacity data of wind power generation equipment and capacity data of energy storage equipment, and in the processing process of the model, a calculation formula of the installed capacity data of the wind power generation equipment is as follows: /(I);/>For wind power plant installation capacity data,/>For air film system energy demand data,/>The characteristic coefficient is preset (obtained by inquiring a wind power generation operation control database of a gas film system); the calculation formula of the capacity data of the energy storage equipment is as follows:
;
wherein, For energy storage device capacity data,/>For peak functional energy consumption data,/>For average functional energy consumption data,/>For air film system volume data,/>For ventilation data,/>Is the data of single ventilation degree,/>For single unit volume ventilation energy consumption data,/>And (5) presetting time duration data for which the energy storage device can maintain operation.
Referring to fig. 3, fig. 3 is a flowchart of a method for controlling wind power generation based on a gas film system according to an embodiment of the application to obtain information of a power supply mode. According to an embodiment of the present application, the method for obtaining real-time power demand information of a gas film system and extracting real-time power demand data, obtaining real-time wind power generation power supply and storage amount information and extracting real-time wind power generation power supply and storage amount data, and comparing the real-time power demand data with the real-time wind power generation power supply and storage amount data to obtain power supply mode information specifically includes:
s31, acquiring real-time electric energy demand information of the air film system and extracting real-time electric energy demand data;
S32, acquiring real-time wind power generation power supply and storage quantity information and extracting real-time wind power generation power supply and storage quantity data;
S33, comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to obtain a supply and demand situation index;
s34, comparing the supply and demand condition index with a preset supply and demand mode threshold value to obtain electric energy supply mode information, wherein the electric energy supply mode information comprises wind power supply, wind power energy storage hybrid power supply, wind power and mains supply hybrid power supply and wind power energy storage hybrid power supply.
The method comprises the steps of acquiring real-time electric energy demand information and real-time wind power generation power supply and storage quantity information of an air film system, respectively extracting real-time electric energy demand data and real-time wind power generation power supply and storage quantity data, comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to obtain a supply and demand condition index, comparing the supply and demand condition index with a preset supply and demand mode threshold value to obtain electric energy supply mode information, wherein the supply and demand mode information comprises wind power supply, wind power energy storage hybrid power supply, wind power commercial power hybrid power supply and wind power energy storage commercial power hybrid power supply, and the supply and demand mode threshold value is set by a user according to the installed capacity data of wind power generation equipment and the capacity data of energy storage equipment.
According to an embodiment of the present invention, further comprising:
acquiring real-time electric energy reserve information of energy storage equipment and extracting real-time electric energy reserve data;
acquiring charge and discharge condition information of the energy storage equipment within preset time, including charged and discharged and uncharged and discharged, and extracting charge and discharge condition data;
Acquiring the preset times of charge and discharge cycles and a discharge stored electric quantity proportion threshold value in preset time;
comparing the real-time electric energy reserve data with the capacity data of the energy storage equipment to obtain stored electric quantity proportion data;
and inputting the charge and discharge condition data, the stored electric quantity proportion data, the preset charge and discharge cycle times and the discharge stored electric quantity proportion threshold value into an energy storage device management model to obtain charge and discharge state information of the energy storage device, wherein the charge and discharge state information comprises discharge prohibition, charge and discharge start.
In order to ensure good performance of the energy storage equipment and prolong the service life of the energy storage equipment, deep charging and discharging of the energy storage equipment are avoided as much as possible, a discharging threshold value is set as a matching of the wind power generation equipment when the energy storage equipment is discharged, and in principle, one charging and discharging cycle of the energy storage equipment can be ensured every day; firstly, acquiring real-time electric energy reserve information of energy storage equipment, extracting real-time electric energy reserve data, acquiring charge and discharge condition information of the energy storage equipment within preset time, wherein the charge and discharge condition information comprises charged and discharged and uncharged and the charge and discharge condition data is extracted, the preset time can be set according to the actual requirement of a user, the preset time is set to be 24 hours in the embodiment, the charge and discharge condition of the energy storage equipment within 24 hours is acquired, if the charge and discharge condition is charged and discharged, the charge and discharge condition is recorded as 1, and if the charge and discharge condition is not charged and discharged, the charge and discharge condition is recorded as 0; in this embodiment, 1 charge-discharge cycle is allowed within 24 hours, and the discharge stored electricity proportion threshold is 30%, that is, when the stored electricity proportion data is lower than 30% in discharge, the stored electricity proportion data is not discharged any more, and other energy sources are switched to supply power; comparing the real-time electric energy reserve data with the capacity data of the energy storage device to obtain stored electric quantity proportion data, wherein the value range of the proportion data is 0% -100%, inputting the charge and discharge condition data, the stored electric quantity proportion data and the preset charge and discharge cycle times into an energy storage device management model to obtain charge and discharge state information of the energy storage device according to a discharge stored electric quantity proportion threshold value, wherein the charge and discharge state information comprises discharge prohibition, discharge prohibition and charge starting, the model firstly judges the charge and discharge condition data when processing, if the charge and discharge condition data is 1, the fact that the charge and discharge are completed once within the preset time is indicated, meanwhile, the stored electric quantity proportion data is judged, if the stored electric quantity proportion data is 100%, the charge and discharge state information of the energy storage device is discharge prohibition, and if the charge and discharge state information of the energy storage device is lower than 100%, the charge and discharge prohibition condition information of the energy storage device is started; if the charge-discharge condition data is 0, it indicates that charge-discharge is not performed within a preset time, and meanwhile, the stored electric quantity proportion data is compared with the discharge stored electric quantity proportion threshold value, and because the discharge stored electric quantity proportion threshold value is 30% in the embodiment, when the stored electric quantity proportion data is greater than 30%, the charge-discharge state information of the energy storage device is to start discharge, and when the stored electric quantity proportion data is less than 30%, the charge-discharge state information of the energy storage device is to inhibit discharge and start charge.
According to an embodiment of the present invention, further comprising:
acquiring air density information of an exhaust port and impeller area information of wind power generation equipment, and extracting air density data and impeller area data;
acquiring physical environment information at an exhaust port of the air film system, wherein the physical environment information comprises air flow speed information, pressure information and temperature information;
Respectively extracting air flow speed data, pressure difference data and temperature difference data according to the air flow speed information, the pressure information and the temperature information;
Inputting the air flow speed data, the pressure difference data and the temperature difference data into a wind power generation power model to obtain wind power generation power data;
the wind power generation power formula in the wind power generation power model is as follows:
;
wherein, For wind power generation power,/>Is the pressure difference data,/>Is data of temperature difference,/>As a result of the air density data,For impeller area data,/>Is the air flow velocity data,/>、/>、/>Is a preset characteristic coefficient.
When the wind power equipment is positioned at the exhaust port of the air film system, air density information of the exhaust port and impeller area information of the wind power generation equipment are obtained, air density data and impeller area data are extracted, physical environment information is obtained, air flow speed data, pressure difference data and temperature difference data are extracted, the pressure data refer to pressure differences inside and outside the exhaust port, and the temperature difference data refer to temperature differences inside and outside the exhaust port; inputting the obtained data into a wind power generation power model, and calculating through a wind power generation power formula in the model to obtain wind power generation power data.
The invention also discloses a wind power generation control system based on the air film system, which comprises a memory and a processor, wherein the memory comprises a wind power generation control method program based on the air film system, and the wind power generation control method program based on the air film system realizes the following steps when being executed by the processor:
Acquiring wind resource distribution database information and air film system position information, and extracting wind resource data after acquiring wind resource information through inquiring the wind resource distribution database according to the air film system position information;
acquiring air film system scale information, air exchange demand information and energy consumption information, and respectively extracting air film system volume data, air exchange demand data and energy consumption data;
inputting the volume data, the ventilation demand data and the energy consumption data of the air film system into a preset energy demand model for processing to obtain the energy demand data of the air film system;
Inputting the wind power resource data and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data;
Acquiring real-time electric energy demand information of an air film system, extracting real-time electric energy demand data, acquiring real-time wind power generation power supply and storage quantity information, extracting real-time wind power generation power supply and storage quantity data, and comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to acquire electric energy supply mode information;
and selecting a proper energy supply mode according to the electric energy supply mode information.
The method comprises the steps of planning the installed capacity of wind power generation equipment and the capacity of energy storage equipment to realize wind power generation of a gas film system, so that the method can be more suitable for actual optimal control. Wind power resources in different areas are different, so that wind power resource distribution database information and air film system position information are obtained, and wind power resource data are extracted; acquiring air film system scale information, ventilation demand information and energy consumption information, extracting and obtaining air film system volume data, ventilation demand data and energy consumption data, wherein the air film system volume data, the ventilation demand data and the energy consumption data influence the energy demand condition of an air film system, so that the air film system energy demand data is obtained after the air film system volume data, the ventilation demand data and the energy consumption data are processed, then wind power resource data and the air film system energy demand data are input into a preset wind power energy supply equipment evaluation model to be processed, wind power generation and storage capacity data are obtained, and the wind power generation and storage capacity data comprise two parts, namely the installed capacity of energy supply of wind power generation equipment and the energy storage capacity of energy storage equipment; acquiring real-time electric energy demand information and real-time wind power generation power supply and storage quantity information of the air film system, respectively extracting real-time electric energy demand data and real-time wind power generation power supply and storage quantity data, comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to obtain electric energy supply mode information, and finally selecting a proper energy supply mode according to the electric energy supply mode information.
According to the embodiment of the invention, the wind power resource distribution database information and the air film system position information are obtained, the wind power resource information is obtained through the query of the wind power resource distribution database according to the air film system position information, and then the wind power resource data are extracted, and the method specifically comprises the following steps:
Acquiring wind resource distribution database information, including position information, average air density information, average wind speed information and a mapping relation table;
Acquiring position information of a gas film system;
According to the position information of the air film system, acquiring wind resource information through inquiry of the wind resource distribution database and extracting wind resource data;
The wind resource data includes average air density data and average wind speed data.
The wind power resource distribution database is a database established by analyzing wind power resource distribution data according to statistics of wind power resource information in the past, wherein the database comprises area position information, average air density information and average wind speed information corresponding to the area, and a corresponding mapping relation table is established among the three information; and acquiring the position information of the air film system, inquiring and acquiring wind power resource information of a corresponding position in a wind power resource distribution database according to the acquired position information of the air film system, and extracting wind power resource data, wherein the wind power resource information comprises average air density data and average wind speed data.
According to an embodiment of the present invention, the method for acquiring the air film system scale information, the ventilation demand information and the energy consumption information and extracting the air film system volume data, the ventilation demand data and the energy consumption data respectively specifically includes:
Acquiring air film system scale information and extracting air film system volume data;
acquiring ventilation demand information, and extracting ventilation demand data, including ventilation frequency data and single ventilation degree data of a preset unit time;
And acquiring energy consumption information, and extracting energy consumption data, wherein the energy consumption data comprises average function energy consumption data, peak function energy consumption data and single unit volume ventilation energy consumption data of preset unit time.
The energy requirements of the air film system relate to a plurality of aspects, the scale information of the air film system in stock needs to be comprehensively considered, and the volume data of the air film system is extracted, because the sizes of the volume data are different, the energy requirements in the air film system maintaining process are also different; the air film system is required to be ventilated, different application scenes have different ventilation requirements, ventilation requirement information is obtained, ventilation requirement data is extracted, the ventilation requirement information comprises ventilation frequency data and single ventilation degree data of a preset unit time, the preset unit time can be 24 hours or one week, the ventilation frequency data is set according to user requirements, the single ventilation degree data refers to the percentage of replacement gas in the whole air film system in single ventilation, the single ventilation degree can be set according to the user requirements, and the ventilation degree can be 100% or 80%; besides ventilation energy consumption, the air film system is used as a use scene and also has functional energy consumption, energy consumption information is obtained, and energy consumption data is extracted, wherein the energy consumption data comprises average functional energy consumption data in a preset unit time, peak functional energy consumption data and single unit volume ventilation energy consumption data, the average functional energy consumption data in the unit time refers to the energy consumed in the use process of the functions in the unit time, the peak functional energy consumption data refers to the energy consumption data in the highest peak in the use process of the air film system, and the single unit volume ventilation energy consumption data refers to the energy consumed by updating the unit volume of gas each time in ventilation.
According to an embodiment of the present invention, the processing of inputting the volume data, the ventilation demand data and the energy consumption data of the air film system into a preset energy demand model to obtain the energy demand data of the air film system specifically includes:
Inputting the volume data, the ventilation frequency data, the single ventilation degree data, the single unit volume ventilation energy consumption data and the average function energy consumption data of the air film system into a preset energy demand model for processing to obtain air film system energy demand data;
The energy demand formula of the air film system in the preset energy demand model is as follows:
;
wherein, For air film system energy demand data,/>For air film system volume data,/>For the data of the number of ventilation times,Is the data of single ventilation degree,/>For single unit volume ventilation energy consumption data,/>For average functional energy consumption data,/>The energy standard floating coefficient is preset (the energy standard floating coefficient is obtained by inquiring a wind power generation operation control database of the air film system).
The air film system volume data, the ventilation frequency data, the single ventilation degree data, the single unit volume ventilation energy consumption data and the average function energy consumption data are input into a preset energy demand model to be processed so as to obtain the air film system energy demand data, and the air film system volume data, the ventilation frequency data, the single ventilation degree data and the single unit volume ventilation energy consumption data influence the maintenance energy consumption of the air film system and normal use of the function energy consumption maintenance function.
According to an embodiment of the present invention, the inputting the wind resource data and the air film system energy demand data into a preset wind energy supply equipment evaluation model to obtain wind power generation storage capacity data specifically includes:
Obtaining wind energy resources through wind energy resource calculation model processing according to the wind energy resource data;
comparing the wind energy resource with a preset wind power construction threshold value to obtain wind power construction conditions, including suitable construction and unsuitable construction;
if the wind power construction condition is suitable for construction, inputting the wind energy resource and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data, wherein the wind power generation supply and storage capacity data comprises installed capacity data of wind power generation equipment and capacity data of energy storage equipment.
After the wind resource data is determined, the wind resource can be correspondingly determined, the wind resource data is input into a wind resource calculation model to be processed to obtain the wind resource, and the calculation formula is as follows:
;
wherein, Wind energy per unit area per unit time,/>For average air density data,/>For average wind speed data,/>The characteristic coefficient is preset (obtained by inquiring a wind power generation operation control database of a gas film system); comparing the wind energy resource with a preset wind power construction threshold value to obtain a wind power construction condition, wherein if the wind energy resource is smaller than the wind power construction threshold value, the wind power generation equipment is not suitable to be constructed, and if the wind energy resource is larger than or equal to the wind power construction threshold value, the wind power generation equipment is suitable to be constructed; if the wind power construction condition is suitable for construction, wind energy resources and energy demand data of the air film system are input into a preset wind power supply equipment evaluation model to be processed, wind power generation supply and storage capacity data are obtained, the wind power generation supply and storage capacity data comprise installed capacity data of wind power generation equipment and capacity data of energy storage equipment, and in the processing process of the model, a calculation formula of the installed capacity data of the wind power generation equipment is as follows: /(I);/>For wind power plant installation capacity data,/>For air film system energy demand data,/>The characteristic coefficient is preset (obtained by inquiring a wind power generation operation control database of a gas film system); the calculation formula of the capacity data of the energy storage equipment is as follows: /(I)
;
Wherein,For energy storage device capacity data,/>For peak functional energy consumption data,/>For average functional energy consumption data,/>For air film system volume data,/>For ventilation data,/>Is the data of single ventilation degree,/>For single unit volume ventilation energy consumption data,/>And (5) presetting time duration data for which the energy storage device can maintain operation.
According to an embodiment of the present invention, the method for obtaining real-time power demand information of a gas film system and extracting real-time power demand data, obtaining real-time wind power generation power supply and storage amount information and extracting real-time wind power generation power supply and storage amount data, and comparing the real-time power demand data with the real-time wind power generation power supply and storage amount data to obtain power supply mode information specifically includes:
acquiring real-time electric energy demand information of the air film system and extracting real-time electric energy demand data;
acquiring real-time wind power generation power supply and storage quantity information and extracting real-time wind power generation power supply and storage quantity data;
comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to obtain a supply and demand situation index;
and comparing the supply and demand condition index with a preset supply and demand mode threshold value to obtain electric energy supply mode information, wherein the electric energy supply mode information comprises wind power supply, wind power energy storage hybrid power supply, wind power and mains supply hybrid power supply and wind power energy storage hybrid power supply.
The method comprises the steps of acquiring real-time electric energy demand information and real-time wind power generation power supply and storage quantity information of an air film system, respectively extracting real-time electric energy demand data and real-time wind power generation power supply and storage quantity data, comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to obtain a supply and demand condition index, comparing the supply and demand condition index with a preset supply and demand mode threshold value to obtain electric energy supply mode information, wherein the supply and demand mode information comprises wind power supply, wind power energy storage hybrid power supply, wind power commercial power hybrid power supply and wind power energy storage commercial power hybrid power supply, and the supply and demand mode threshold value is set by a user according to the installed capacity data of wind power generation equipment and the capacity data of energy storage equipment.
According to an embodiment of the present invention, further comprising:
acquiring real-time electric energy reserve information of energy storage equipment and extracting real-time electric energy reserve data;
acquiring charge and discharge condition information of the energy storage equipment within preset time, including charged and discharged and uncharged and discharged, and extracting charge and discharge condition data;
Acquiring the preset times of charge and discharge cycles and a discharge stored electric quantity proportion threshold value in preset time;
comparing the real-time electric energy reserve data with the capacity data of the energy storage equipment to obtain stored electric quantity proportion data;
and inputting the charge and discharge condition data, the stored electric quantity proportion data, the preset charge and discharge cycle times and the discharge stored electric quantity proportion threshold value into an energy storage device management model to obtain charge and discharge state information of the energy storage device, wherein the charge and discharge state information comprises discharge prohibition, charge and discharge start.
In order to ensure good performance of the energy storage equipment and prolong the service life of the energy storage equipment, deep charging and discharging of the energy storage equipment are avoided as much as possible, a discharging threshold value is set as a matching of the wind power generation equipment when the energy storage equipment is discharged, and in principle, one charging and discharging cycle of the energy storage equipment can be ensured every day; firstly, acquiring real-time electric energy reserve information of energy storage equipment, extracting real-time electric energy reserve data, acquiring charge and discharge condition information of the energy storage equipment within preset time, wherein the charge and discharge condition information comprises charged and discharged and uncharged and the charge and discharge condition data is extracted, the preset time can be set according to the actual requirement of a user, the preset time is set to be 24 hours in the embodiment, the charge and discharge condition of the energy storage equipment within 24 hours is acquired, if the charge and discharge condition is charged and discharged, the charge and discharge condition is recorded as 1, and if the charge and discharge condition is not charged and discharged, the charge and discharge condition is recorded as 0; in this embodiment, 1 charge-discharge cycle is allowed within 24 hours, and the discharge stored electricity proportion threshold is 30%, that is, when the stored electricity proportion data is lower than 30% in discharge, the stored electricity proportion data is not discharged any more, and other energy sources are switched to supply power; comparing the real-time electric energy reserve data with the capacity data of the energy storage device to obtain stored electric quantity proportion data, wherein the value range of the proportion data is 0% -100%, inputting the charge and discharge condition data, the stored electric quantity proportion data and the preset charge and discharge cycle times into an energy storage device management model to obtain charge and discharge state information of the energy storage device according to a discharge stored electric quantity proportion threshold value, wherein the charge and discharge state information comprises discharge prohibition, discharge prohibition and charge starting, the model firstly judges the charge and discharge condition data when processing, if the charge and discharge condition data is 1, the fact that the charge and discharge are completed once within the preset time is indicated, meanwhile, the stored electric quantity proportion data is judged, if the stored electric quantity proportion data is 100%, the charge and discharge state information of the energy storage device is discharge prohibition, and if the charge and discharge state information of the energy storage device is lower than 100%, the charge and discharge prohibition condition information of the energy storage device is started; if the charge-discharge condition data is 0, it indicates that charge-discharge is not performed within a preset time, and meanwhile, the stored electric quantity proportion data is compared with the discharge stored electric quantity proportion threshold value, and because the discharge stored electric quantity proportion threshold value is 30% in the embodiment, when the stored electric quantity proportion data is greater than 30%, the charge-discharge state information of the energy storage device is to start discharge, and when the stored electric quantity proportion data is less than 30%, the charge-discharge state information of the energy storage device is to inhibit discharge and start charge.
According to an embodiment of the present invention, further comprising:
acquiring air density information of an exhaust port and impeller area information of wind power generation equipment, and extracting air density data and impeller area data;
acquiring physical environment information at an exhaust port of the air film system, wherein the physical environment information comprises air flow speed information, pressure information and temperature information;
Respectively extracting air flow speed data, pressure difference data and temperature difference data according to the air flow speed information, the pressure information and the temperature information;
Inputting the air flow speed data, the pressure difference data and the temperature difference data into a wind power generation power model to obtain wind power generation power data;
the wind power generation power formula in the wind power generation power model is as follows:
;
wherein, For wind power generation power,/>Is the pressure difference data,/>Is data of temperature difference,/>As a result of the air density data,For impeller area data,/>Is the air flow velocity data,/>、/>、/>Is a preset characteristic coefficient.
When the wind power equipment is positioned at the exhaust port of the air film system, air density information of the exhaust port and impeller area information of the wind power generation equipment are obtained, air density data and impeller area data are extracted, physical environment information is obtained, air flow speed data, pressure difference data and temperature difference data are extracted, the pressure data refer to pressure differences inside and outside the exhaust port, and the temperature difference data refer to temperature differences inside and outside the exhaust port; inputting the obtained data into a wind power generation power model, and calculating through a wind power generation power formula in the model to obtain wind power generation power data.
A third aspect of the present invention provides a readable storage medium, in which a wind power generation control method program based on a gas film system is included, where the wind power generation control method program based on a gas film system implements the steps of the wind power generation control method based on a gas film system as described in any one of the above.
According to the wind power generation control method, the system and the medium based on the air film system, wind power resource data are obtained by inquiring after obtaining wind power resource distribution database information and air film system position information, air film system scale information, ventilation demand information and energy consumption information are obtained by post-processing, air film system energy demand data are obtained, the wind power resource data and the air film system energy demand data are input into a preset wind power supply equipment assessment model to be processed to obtain wind power generation supply and storage capacity data, real-time electric energy demand information and real-time wind power generation power supply and storage capacity information of the air film system are obtained, then electric energy supply mode information is obtained by comparing, and a proper energy supply mode is selected according to the electric energy supply mode information; the wind power generation control technology is realized by combining the real-time electric energy demand information and the real-time wind power generation power supply and storage capacity information.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM, random Access Memory), a magnetic disk or optical disk, or the like, which can store program codes.
Or the above-described integrated units of the invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (6)
1. The wind power generation control method based on the air film system is characterized by comprising the following steps of:
Acquiring wind resource distribution database information and air film system position information, and extracting wind resource data after acquiring wind resource information through inquiring the wind resource distribution database according to the air film system position information;
acquiring air film system scale information, air exchange demand information and energy consumption information, and respectively extracting air film system volume data, air exchange demand data and energy consumption data;
inputting the volume data, the ventilation demand data and the energy consumption data of the air film system into a preset energy demand model for processing to obtain the energy demand data of the air film system;
Inputting the wind power resource data and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data;
Acquiring real-time electric energy demand information of an air film system, extracting real-time electric energy demand data, acquiring real-time wind power generation power supply and storage quantity information, extracting real-time wind power generation power supply and storage quantity data, and comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to acquire electric energy supply mode information;
selecting a proper energy supply mode according to the electric energy supply mode information;
The method for acquiring the air film system scale information, the air exchange demand information and the energy consumption information and respectively extracting the air film system volume data, the air exchange demand data and the energy consumption data specifically comprises the following steps:
Acquiring air film system scale information and extracting air film system volume data;
acquiring ventilation demand information, and extracting ventilation demand data, including ventilation frequency data and single ventilation degree data of a preset unit time;
Acquiring energy consumption information, and extracting energy consumption data, wherein the energy consumption data comprises average function energy consumption data, peak function energy consumption data and single unit volume ventilation energy consumption data of preset unit time;
The method for obtaining the air film system energy demand data by inputting the air film system volume data, the ventilation demand data and the energy consumption data into a preset energy demand model comprises the following steps:
Inputting the volume data, the ventilation frequency data, the single ventilation degree data, the single unit volume ventilation energy consumption data and the average function energy consumption data of the air film system into a preset energy demand model for processing to obtain air film system energy demand data;
The energy demand formula of the air film system in the preset energy demand model is as follows:
;
wherein, For air film system energy demand data,/>For air film system volume data,/>For ventilation data,/>Is the data of single ventilation degree,/>For single unit volume ventilation energy consumption data,/>For average functional energy consumption data,/>The floating coefficient is preset as an energy standard;
inputting the wind power resource data and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation power supply and storage capacity data, and specifically comprising the following steps:
Obtaining wind energy resources through wind energy resource calculation model processing according to the wind energy resource data;
comparing the wind energy resource with a preset wind power construction threshold value to obtain wind power construction conditions, including suitable construction and unsuitable construction;
If the wind power construction condition is suitable for construction, inputting the wind energy resource and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data, wherein the wind power generation supply and storage capacity data comprises installed capacity data of wind power generation equipment and capacity data of energy storage equipment;
The method comprises the steps of acquiring real-time electric energy demand information of an air film system, extracting real-time electric energy demand data, acquiring real-time wind power generation power supply and storage quantity information, extracting real-time wind power generation power supply and storage quantity data, comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data, and acquiring electric energy supply mode information, and specifically comprises the following steps:
acquiring real-time electric energy demand information of the air film system and extracting real-time electric energy demand data;
acquiring real-time wind power generation power supply and storage quantity information and extracting real-time wind power generation power supply and storage quantity data;
comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to obtain a supply and demand situation index;
and comparing the supply and demand condition index with a preset supply and demand mode threshold value to obtain electric energy supply mode information, wherein the electric energy supply mode information comprises wind power supply, wind power energy storage hybrid power supply, wind power and mains supply hybrid power supply and wind power energy storage hybrid power supply.
2. The wind power generation control method based on the air film system according to claim 1, wherein the obtaining the wind power resource distribution database information and the air film system position information, and extracting the wind power resource data after obtaining the wind power resource information by querying the air film system position information through the wind power resource distribution database, specifically comprises:
Acquiring wind resource distribution database information, including position information, average air density information, average wind speed information and a mapping relation table;
Acquiring position information of a gas film system;
According to the position information of the air film system, acquiring wind resource information through inquiry of the wind resource distribution database and extracting wind resource data;
The wind resource data includes average air density data and average wind speed data.
3. The air film system-based wind power generation control method according to claim 1, further comprising:
acquiring real-time electric energy reserve information of energy storage equipment and extracting real-time electric energy reserve data;
acquiring charge and discharge condition information of the energy storage equipment within preset time, including charged and discharged and uncharged and discharged, and extracting charge and discharge condition data;
Acquiring the preset times of charge and discharge cycles and a discharge stored electric quantity proportion threshold value in preset time;
comparing the real-time electric energy reserve data with the capacity data of the energy storage equipment to obtain stored electric quantity proportion data;
and inputting the charge and discharge condition data, the stored electric quantity proportion data, the preset charge and discharge cycle times and the discharge stored electric quantity proportion threshold value into an energy storage device management model to obtain charge and discharge state information of the energy storage device, wherein the charge and discharge state information comprises discharge prohibition, charge and discharge start.
4. The air film system-based wind power generation control method according to claim 1, further comprising:
acquiring air density information of an exhaust port and impeller area information of wind power generation equipment, and extracting air density data and impeller area data;
acquiring physical environment information at an exhaust port of the air film system, wherein the physical environment information comprises air flow speed information, pressure information and temperature information;
Respectively extracting air flow speed data, flow data, pressure difference data and temperature difference data according to the air flow speed information, the pressure information and the temperature information;
Inputting the air flow speed data, the pressure difference data and the temperature difference data into a wind power generation power model to obtain wind power generation power data;
the wind power generation power formula in the wind power generation power model is as follows:
;
wherein, For wind power generation power,/>Is the pressure difference data,/>Is data of temperature difference,/>As a result of the air density data,For impeller area data,/>Is the air flow velocity data,/>、/>、/>Is a preset characteristic coefficient.
5. The wind power generation control system based on the air film system is characterized by comprising a memory and a processor, wherein the memory comprises a wind power generation control method program based on the air film system, and the wind power generation control method program based on the air film system realizes the following steps when being executed by the processor:
Acquiring wind resource distribution database information and air film system position information, and extracting wind resource data after acquiring wind resource information through inquiring the wind resource distribution database according to the air film system position information;
acquiring air film system scale information, air exchange demand information and energy consumption information, and respectively extracting air film system volume data, air exchange demand data and energy consumption data;
inputting the volume data, the ventilation demand data and the energy consumption data of the air film system into a preset energy demand model for processing to obtain the energy demand data of the air film system;
Inputting the wind power resource data and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data;
Acquiring real-time electric energy demand information of an air film system, extracting real-time electric energy demand data, acquiring real-time wind power generation power supply and storage quantity information, extracting real-time wind power generation power supply and storage quantity data, and comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to acquire electric energy supply mode information;
selecting a proper energy supply mode according to the electric energy supply mode information;
The method for acquiring the air film system scale information, the air exchange demand information and the energy consumption information and respectively extracting the air film system volume data, the air exchange demand data and the energy consumption data specifically comprises the following steps:
Acquiring air film system scale information and extracting air film system volume data;
acquiring ventilation demand information, and extracting ventilation demand data, including ventilation frequency data and single ventilation degree data of a preset unit time;
Acquiring energy consumption information, and extracting energy consumption data, wherein the energy consumption data comprises average function energy consumption data, peak function energy consumption data and single unit volume ventilation energy consumption data of preset unit time;
The method for obtaining the air film system energy demand data by inputting the air film system volume data, the ventilation demand data and the energy consumption data into a preset energy demand model comprises the following steps:
Inputting the volume data, the ventilation frequency data, the single ventilation degree data, the single unit volume ventilation energy consumption data and the average function energy consumption data of the air film system into a preset energy demand model for processing to obtain air film system energy demand data;
The energy demand formula of the air film system in the preset energy demand model is as follows:
;
wherein, For air film system energy demand data,/>For air film system volume data,/>For ventilation data,/>Is the data of single ventilation degree,/>For single unit volume ventilation energy consumption data,/>For average functional energy consumption data,/>The floating coefficient is preset as an energy standard;
inputting the wind power resource data and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation power supply and storage capacity data, and specifically comprising the following steps:
Obtaining wind energy resources through wind energy resource calculation model processing according to the wind energy resource data;
comparing the wind energy resource with a preset wind power construction threshold value to obtain wind power construction conditions, including suitable construction and unsuitable construction;
If the wind power construction condition is suitable for construction, inputting the wind energy resource and the air film system energy demand data into a preset wind power supply equipment evaluation model for processing to obtain wind power generation supply and storage capacity data, wherein the wind power generation supply and storage capacity data comprises installed capacity data of wind power generation equipment and capacity data of energy storage equipment;
The method comprises the steps of acquiring real-time electric energy demand information of an air film system, extracting real-time electric energy demand data, acquiring real-time wind power generation power supply and storage quantity information, extracting real-time wind power generation power supply and storage quantity data, comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data, and acquiring electric energy supply mode information, and specifically comprises the following steps:
acquiring real-time electric energy demand information of the air film system and extracting real-time electric energy demand data;
acquiring real-time wind power generation power supply and storage quantity information and extracting real-time wind power generation power supply and storage quantity data;
comparing the real-time electric energy demand data with the real-time wind power generation power supply and storage quantity data to obtain a supply and demand situation index;
and comparing the supply and demand condition index with a preset supply and demand mode threshold value to obtain electric energy supply mode information, wherein the electric energy supply mode information comprises wind power supply, wind power energy storage hybrid power supply, wind power and mains supply hybrid power supply and wind power energy storage hybrid power supply.
6. A computer-readable storage medium, wherein the computer-readable storage medium includes a wind power generation control method program based on a gas film system, and the wind power generation control method program based on the gas film system realizes the steps of a wind power generation control method based on the gas film system according to any one of claims 1 to 4 when being executed by a processor.
Priority Applications (1)
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