A greenhouse breeding method based on mobile photovoltaics

Abstract

The application provides a greenhouse breeding method based on a mobile photovoltaic device and belongs to the technical field of load scheduling, and specifically comprises the following steps: obtaining electric energy by using a photovoltaic power generation system which is convenient to disassemble to generate electricity during an idle period of an idle farmland, determining a minimum power supply threshold of a greenhouse on a specified date in different time periods by the type, growth stage and area of plants in different greenhouses, and determining the net-side electric energy of the user and the greenhouse and the power supply of the photovoltaic power generation system in different time periods by taking the minimum power supply threshold as a constraint condition and taking the minimum economic cost of the specified date as a target, so that economic optimization scheduling of the photovoltaic power generation system is realized.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of load scheduling, and particularly relates to a greenhouse breeding method based on mobile photovoltaics. BACKGROUND

[0002] In the high-cold regions such as the northeast, farmlands are in idle state in winter and part of the period in spring, causing great waste of land resources, while there is a great demand for electricity in winter for greenhouse and farmers, and in the prior art, heating is often achieved by electricity or coal, which not only has high economic cost, but also causes environmental pollution and carbon emission to some extent.

[0003] The proposal of the "double carbon" goal promotes the rapid development of the photovoltaic industry, and the production capacity of each link in the photovoltaic industry chain grows rapidly, resulting in overcapacity and continuously falling prices of photovoltaic components. Photovoltaic power generation technology is mature and economical, and is an important part of future new power systems, but its development is restricted by land space occupation and power transmission channel conditions. The laying of photovoltaic panels requires a large amount of land resources, and in winter in rural areas in northern China, farmlands are often in idle and unused state, causing great seasonal waste of land resources.

[0004] To solve the above technical problems, the application provides a greenhouse breeding method based on mobile photovoltaics. SUMMARY

[0005] A greenhouse breeding method based on mobile photovoltaics, characterized in that it specifically comprises:

[0006] Electricity is generated by using an easily detachable photovoltaic power generation system during the idle period of the idle farmland;

[0007] When the predicted power generation on a specified date cannot meet the demand of the predicted power consumption, the different time periods of the specified date are divided into redundant periods and deviation periods according to the predicted power consumption and the predicted power generation;

[0008] The energy consumption reliability of the specified date is determined based on the deviation amount of the predicted power consumption and the predicted power generation of the different deviation periods of the specified date, and it is judged whether the energy consumption reliability meets the requirements, if yes, power supply processing is performed by the photovoltaic power generation system, and if not, the next step is entered;

[0009] The minimum power supply threshold of the greenhouse in different time periods on the specified date is determined by the photovoltaic power generation system through the type, growth stage and area of the plants in different greenhouses, and the minimum power supply threshold is used as a constraint condition, and the net-side electric energy of the user and the greenhouse and the power supply amount of the photovoltaic power generation system in different time periods are determined with the lowest economic cost on the specified date as the target.

[0010] Further technical solutions are that the idle period of the idle farmland is determined according to the planting and harvesting cycle of the crops of the idle farmland.

[0011] Further technical solutions are that the photovoltaic support of the photovoltaic power generation system adopts a folding structure, and the photovoltaic support is fixed to the farmland through a non-permanent fixing structure.

[0012] Further technical solutions are that the non-permanent fixing structure includes frozen soil, bolts, and ice.

[0013] Further technical solutions are that the predicted power generation on the specified date is determined according to the light amount on the specified date.

[0014] Further technical solutions are that the different time periods on the specified date are divided into redundant periods and deviation periods according to the predicted power consumption and the predicted power generation, and specifically include:

[0015] When the predicted power consumption of the period is less than the predicted power generation, the period is determined as a deviation period.

[0016] When the predicted power consumption of the period is not less than the predicted power generation, the period is determined as a redundant period.

[0017] Further technical solutions are that the grid-side power of the users and the greenhouse and the power supply of the photovoltaic power generation system in different time periods are determined, and specifically include:

[0018] The predicted power consumption of the users and the greenhouse in different time periods is determined according to the predicted power consumption of the users and the greenhouse in different time periods, the unit power supply cost of the grid-side power in different time periods is determined according to the electricity price of the grid-side power in different time periods.

[0019] The economic function is constructed based on the power supply cost of the grid-side power in different time periods, the minimum of the economic function is taken as the target, the grid-side power of the users and the greenhouse and the power supply of the photovoltaic power generation system in different time periods are determined as the constraint conditions, and the minimum power threshold and the power consumption demand in different time periods are determined.

[0020] On the other hand, the embodiment of the present application provides a greenhouse breeding system based on mobile photovoltaics, which adopts the greenhouse breeding method based on mobile photovoltaics, and is characterized by specifically including:

[0021] The farmland power generation module, the time period division module, the reliability evaluation module, and the power supply adjustment module.

[0022] The farmland power generation module is responsible for generating electricity by using the idle period of the idle farmland with a photovoltaic power generation system that is easy to disassemble to obtain electric energy.

[0023] The time period division module is responsible for dividing different time periods of a specified date into redundant time periods and deviation time periods according to the predicted power consumption and the predicted power generation when the predicted power generation of the specified date cannot meet the demand of the predicted power consumption;

[0024] The reliability evaluation module is responsible for determining the energy use reliability of the specified date based on the deviation amount of the predicted power consumption and the predicted power generation of the different deviation time periods of the specified date;

[0025] The power supply amount adjustment module is responsible for determining the minimum power supply threshold of the greenhouse in different time periods through the photovoltaic power generation system for the specified date according to the types, growth stages and areas of the plants in different greenhouses, and determining the net-side electric energy of the user and the greenhouse and the power supply amount of the photovoltaic power generation system in different time periods by taking the minimum power supply threshold as a constraint condition and taking the minimum economic cost of the specified date as a target.

[0026] The present application has the following advantages:

[0027] 1. In the present application, the idle time period of the idle farmland is used to generate electricity by the photovoltaic power generation system which is convenient to disassemble, so as to avoid the waste of land resources in the idle time period of the idle farmland, and the photovoltaic power generation system which is convenient to disassemble is used to generate electricity, which not only improves the power generation capacity, but also avoids the technical problem of the fixed setting of the photovoltaic power generation system which leads to the failure of normal cultivation, and improves the utilization efficiency of land resources.

[0028] 2. In the present application, the minimum power supply threshold is taken as a constraint condition, the minimum economic cost of the specified date is taken as a target, and the net-side electric energy of the user and the greenhouse and the power supply amount of the photovoltaic power generation system in different time periods are determined, which not only realizes the reliable power consumption of the greenhouse from the perspective of the type of the plants in the greenhouse, but also improves the economy of the overall electric energy supply, and realizes the collaborative optimization control of the power consumption of the user and the greenhouse.

[0029] On the other hand, the present application provides a computer readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the above-mentioned greenhouse breeding method based on mobile photovoltaics.

[0030] On the other hand, the present application provides a computer program product, characterized in that the computer program product stores instructions which, when executed by a computer, cause the computer to implement the above-mentioned greenhouse breeding method based on mobile photovoltaics. BRIEF DESCRIPTION OF DRAWINGS

[0031] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or prior art description. Obviously, the drawings described below are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0032] Figure 1 It is a flow chart of a greenhouse breeding method based on mobile photovoltaic;

[0033] Figure 2 It is a time sequence diagram of farmland utilization;

[0034] Figure 3 It is a framework diagram of a greenhouse breeding system based on mobile photovoltaic. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme of the present application will be described clearly and completely below in combination with the drawings. Obviously, the described embodiments are some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0036] In order to establish an efficient and reasonable space utilization of farmland clean heating system, help farmers provide clean, stable and sustainable heating services, for this, the present patent comprehensively considers the proposed system from the four dimensions of quantity, quality, time and space, as follows:

[0037] From the angle of quantity, mainly including scale calculation and energy balance calculation of the proposed system. Among them, the scale calculation refers to the detailed energy consumption analysis according to the size of farmland and the number of farmers to determine the required mobile photovoltaic power station scale and the volume of photovoltaic power generation system; energy balance refers to designing enough number of photovoltaic panels to meet the peak demand, and combining with the energy demand of the electric power system, to ensure that the heating demand in the coldest month can be met.

[0038] From the angle of space, mainly including space layout and system integration of the proposed system. Among them, the space layout refers to the deployment position of photovoltaic panels, which can effectively capture solar energy; system integration mainly refers to the position of photovoltaic power generation system close to the power point to reduce transmission loss, and considering the mobility and convenience of farmland operation.

[0039] The economic benefits of the photovoltaic direct current power generation project are closely related to the photovoltaic component cost, heating time length, and solar resource of the region. The system uses direct current to charge, does not need an inverter, and has a slightly lower investment cost than a conventional photovoltaic project, about 1.5 yuan / W. Assuming that the photovoltaic power generation efficiency is 80%, the electric power conversion efficiency is 98%, the service life of the photovoltaic equipment is 25 years, and the cumulative attenuation is 20%, in the scene of 1500 hours of photovoltaic annual available hours in the northeast region and 6 months of heating season, the electric power generation amount of the direct current charging is calculated according to the total photovoltaic power generation amount, the unit electricity price is 32 yuan / GJ, and the centralized power supply cost is equivalent, which has good economic efficiency.

[0040] Embodiment 1

[0041] To solve the above problems, according to one aspect of the present application, as Figure 1 shown, a greenhouse breeding method based on mobile photovoltaics is provided, characterized in that it specifically comprises:

[0042] Figure 2 is the time sequence diagram of farmland utilization in the present application.

[0043] The idle period of the idle farmland is used to generate electric energy by using a photovoltaic power generation system which is easy to disassemble;

[0044] When the predicted power generation amount of the specified date cannot meet the demand of the predicted power consumption, the specified date is divided into a redundant period and a deviation period according to the predicted power consumption and the predicted power generation amount;

[0045] The predicted power generation amount is constrained by the output power of the photovoltaic unit, and the output power is affected by many factors such as rated power, solar radiation intensity, and environmental temperature. The real-time output mathematical model can be expressed as:

[0046]

[0047] In the formula, Pe pv is the real-time power generation of the photovoltaic unit; Pe pv,u is the rated power of the photovoltaic unit; η pv is the performance coefficient of the photovoltaic unit; SI and SI ref are the hourly average of the solar radiation intensity and the solar radiation intensity under standard conditions, respectively; κ pv is the power temperature coefficient of the photovoltaic unit; T pv and T pv,ref are the temperature of the photovoltaic cell and the temperature of the photovoltaic cell under standard test conditions, respectively.

[0048]

[0049] In the formula, T amb is the outdoor temperature, and T pv,NOCTT is the nominal operating temperature of the photovoltaic cell; T amb,NOCT S is the ambient temperature of 20°C; SI T,NOCT I is the cell surface light intensity; η pv η is the photoelectric conversion efficiency; τ pv and α pv are the solar transmittance and absorptance, respectively.

[0050] For the design of a mobile photovoltaic station, the main determination is the size of its area, as follows:

[0051] (1) For the calculation of the total electrical load, the daily electrical energy demand per household is D, kWh, and the heating time required in winter is E d , the total number of households N, then the total electrical load E total is added as follows:

[0052] E total,d = N x D x E d

[0053] (2) For the calculation of photovoltaic panel power generation, the average daily power generation P pv,daily is as follows:

[0054] P pv,daily = H sun x P pv,u x η pv

[0055] where P pv,daily is the average sunshine hours; P pv,u is the photovoltaic panel unit area power; and η pv is the photovoltaic panel efficiency.

[0056] (3) The required photovoltaic panel area A pv is as follows:

[0057]

[0058] Therefore, for the design of a photovoltaic power generation system, the capacity of the photovoltaic power generation system is mainly matched with the production capacity of the mobile photovoltaic system, and it is necessary to ensure that the system can meet the electrical and water demand in winter and also consider the additional electrical load demand caused by extreme weather. In practical applications, the above parameters need to be adjusted according to the specific conditions of the local area. Therefore, the storage capacity of the photovoltaic power generation system can be calculated by the following formula:

[0059] For the calculation of the design capacity C of the photovoltaic power generation system, the design capacity C of the photovoltaic power generation system can at least meet the load demand for at least one day, and its value is calculated as follows:

[0060]

[0061] Where Q is the peak daily electricity load of the farmers, c is the specific capacitance of water, Δt is the temperature difference during power exchange, ρ is the density of water, and R is the redundancy factor.

[0062] Photovoltaic power generation system model:

[0063] In the proposed system, the photovoltaic power generation system serves as a primary energy storage device. It achieves energy supply and demand matching by flexibly adjusting the state of energy storage and release, thereby addressing the volatility and instability of energy supply caused by mobile photovoltaic systems. Its mathematical model is as follows:

[0064]

[0065] Among them, Q st (t+1) and Q st (t) represents the stored energy of the photovoltaic power generation system at time t+1 and time t; k st χ is the self-discharge coefficient of the photovoltaic power generation system. sto χ is a 0 / 1 variable representing the operating state of a photovoltaic power generation system. If the photovoltaic power generation system is in energy storage mode, χ st =1, if the photovoltaic power generation system is in a discharging state, χ st =0; Q c Q d These represent the input and output power of the photovoltaic power generation system, respectively. These represent the efficiency of the input and output electrical energy of the photovoltaic power generation system, respectively.

[0066] The operating constraints of a photovoltaic power generation system can be expressed as:

[0067]

[0068] in, and The upper and lower limits of the energy storage capacity of photovoltaic power generation systems; These are the maximum energy storage capacity and maximum discharge capacity of the energy storage device, respectively.

[0069] Based on the deviation between the predicted electricity consumption and the predicted power generation during different deviation periods of the specified date, the energy reliability of the specified date is determined, and it is judged whether the energy reliability meets the requirements. If yes, the power is supplied through the photovoltaic power generation system; otherwise, proceed to the next step.

[0070] The minimum power supply threshold for greenhouses to be powered by photovoltaic power generation systems on a specified date is determined by considering the types of plants grown, growth stages, and areas of greenhouses. Using the minimum power supply threshold as a constraint and aiming to minimize the economic cost on the specified date, the grid-side power supply and the power supply of photovoltaic power generation systems for users and greenhouses are determined for different time periods.

[0071] Further, the idle period of the idle farmland is determined according to the planting and harvesting cycle of the crops of the idle farmland.

[0072] Specifically, the photovoltaic support of the photovoltaic power generation system adopts a folding structure, and is fixed to the farmland through a non-permanent fixing structure.

[0073] It can be understood that the non-permanent fixing structure includes frozen soil, bolts, and ice.

[0074] Further, the predicted power generation amount of the specified date is determined according to the light amount of the specified date.

[0075] It should be noted that the different time periods of the specified date are divided into redundant time periods and deviation time periods according to the predicted power consumption amount and the predicted power generation amount, and specifically include:

[0076] When the predicted power consumption amount of the time period is less than the predicted power generation amount, the time period is determined as a deviation time period.

[0077] When the predicted power consumption amount of the time period is not less than the predicted power generation amount, the time period is determined as a redundant time period.

[0078] In one possible embodiment, the method for determining the energy use reliability of the specified date is:

[0079] The energy use deviation amount of the specified date is determined by the deviation amount of the predicted power consumption amount of the specified date and the preset power generation amount, and the basic energy use reliability of the specified date is determined in combination with the predicted power consumption amount of the specified date.

[0080] The energy use deviation amount of the different deviation time periods is determined according to the deviation amount of the predicted power consumption amount of the different deviation time periods and the preset power generation amount, and the energy use reliability of the different deviation time periods is determined in combination with the predicted power consumption amount of the different deviation time periods.

[0081] The energy use reliability of the specified date is determined based on the energy use reliability of the different deviation time periods and the basic energy use reliability of the specified date.

[0082] Specifically, when the energy use reliability of the specified date is greater than a preset reliability threshold, it is determined that the energy use reliability of the specified date meets the requirements.

[0083] In another possible embodiment, the method for determining the energy use reliability of the specified date is:

[0084] determining the energy consumption deviation of the specified date according to the deviation between the predicted power consumption and the preset power generation of the specified date, and determining the basic energy consumption reliability of the specified date according to the predicted power consumption of the specified date, judging whether the basic energy consumption reliability of the specified date meets the requirement, if not, determining that the energy consumption reliability of the specified date cannot meet the requirement, and if yes, entering the next step;

[0085] determining the energy consumption deviation of the different deviation time periods of the specified date according to the deviation between the predicted power consumption and the preset power generation of the different deviation time periods, and determining the energy consumption reliability of the different deviation time periods according to the predicted power consumption of the different deviation time periods, judging whether the number of the deviation time periods with the energy consumption reliability not meeting the requirement meets the requirement, if not, determining that the energy consumption reliability of the specified date cannot meet the requirement, and if yes, entering the next step;

[0086] determining the number of the deviation time periods with the energy consumption reliability not meeting the requirement based on the energy consumption reliability of the different deviation time periods of the specified date, and determining the comprehensive energy consumption reliability of the deviation time periods of the specified date according to the number of the deviation time periods and the energy consumption reliability of the different deviation time periods, judging whether the comprehensive energy consumption reliability of the deviation time periods of the specified date meets the requirement, if not, determining that the energy consumption reliability of the specified date cannot meet the requirement, and if yes, entering the next step;

[0087] determining the energy consumption reliability of the specified date based on the comprehensive energy consumption reliability of the deviation time periods of the specified date and the basic energy consumption reliability of the specified date.

[0088] In another possible embodiment, the method for determining the energy consumption reliability of the specified date is as follows:

[0089] S31 determines the energy consumption deviation of the specified date according to the deviation between the predicted power consumption and the preset power generation of the specified date, and determines the basic energy consumption reliability of the specified date according to the predicted power consumption of the specified date, judges whether the basic energy consumption reliability of the specified date is greater than a preset reliability threshold, if yes, enters the next step, and if not, enters step S33;

[0090] S32 determines the energy consumption deviation of the different deviation time periods of the specified date according to the deviation between the predicted power consumption and the preset power generation of the different deviation time periods, and determines the energy consumption reliability of the different deviation time periods according to the predicted power consumption of the different deviation time periods, judges whether there is a deviation time period with the energy consumption reliability not meeting the requirement, if yes, enters the next step, and if not, determines that the energy consumption reliability of the specified date meets the requirement;

[0091] S33 determines the number of deviation periods in which the energy consumption reliability does not meet the requirement based on the energy consumption reliability of different deviation periods on the specified date, and determines the comprehensive energy consumption reliability of the deviation periods on the specified date in combination with the number of deviation periods and the energy consumption reliability of different deviation periods;

[0092] S34 determines the energy consumption reliability on the specified date based on the comprehensive energy consumption reliability of the deviation periods on the specified date and the basic energy consumption reliability on the specified date.

[0093] Further, the method for determining the minimum power supply threshold is:

[0094] The minimum environmental temperature requirement of the plants in different time periods in different greenhouse sheds is determined based on the type and growth stage of the plants in different greenhouse sheds, and the minimum power consumption in different time periods in different greenhouse sheds on the specified date is determined in combination with the area of different greenhouse sheds;

[0095] The minimum power supply threshold for power supply processing by the photovoltaic power generation system in different time periods in the greenhouse shed on the specified date is determined based on the minimum power consumption in different time periods in different greenhouse sheds on the specified date.

[0096] Specifically, the minimum environmental temperature requirement of the plants is determined according to the requirements of the plants, and specifically, the minimum environmental temperature requirement of the plants is determined based on the type and growth stage of the plants by using a mapping table.

[0097] In another possible embodiment, the method for determining the minimum power supply threshold is:

[0098] The minimum environmental temperature requirement of the plants in different time periods in different greenhouse sheds is determined based on the type and growth stage of the plants in different greenhouse sheds, and the minimum power consumption in different time periods in different greenhouse sheds on the specified date is determined in combination with the area of different greenhouse sheds;

[0099] The greenhouse sheds in different planting quantity intervals are determined based on the planting quantity of the plants in different greenhouse sheds, and the minimum power consumption in different time periods in the greenhouse sheds in different planting quantity intervals is determined according to the number and minimum power consumption of the greenhouse sheds in different planting quantity intervals, and the minimum corrected power consumption in different time periods in the greenhouse sheds in different planting quantity intervals is determined in combination with the average planting quantity of the greenhouse sheds in different planting quantity intervals and the planting quantity of different greenhouse sheds;

[0100] The minimum power supply threshold of the greenhouse in different time periods on the specified date is determined based on the minimum corrected power consumption of the greenhouse in different time periods in different planting quantity intervals.

[0101] It should be noted that the determination of the grid-side power and the power supply of the photovoltaic power generation system of the user and the greenhouse in different time periods includes:

[0102] The determination of the power consumption demand in different time periods is performed according to the predicted power consumption of the user and the greenhouse in different time periods, and the unit power supply cost of the grid-side power in different time periods is determined according to the price of the grid-side power in different time periods.

[0103] The economic function is constructed based on the power supply cost of the grid-side power in different time periods, and the minimum power supply threshold and the power consumption demand in different time periods are used as constraint conditions to determine the grid-side power and the power supply of the photovoltaic power generation system of the user and the greenhouse in different time periods.

[0104] Embodiment 2

[0105] On the other hand, as Figure 3 shown, the embodiment of the present application provides a greenhouse breeding system based on mobile photovoltaic, which adopts the above-mentioned greenhouse breeding method based on mobile photovoltaic, and is characterized in that it specifically includes:

[0106] The farmland power generation module, the time period division module, the reliability evaluation module, and the power supply adjustment module;

[0107] The farmland power generation module is responsible for generating electricity using the idle time period of the idle farmland using the photovoltaic power generation system which is easy to disassemble to obtain electricity;

[0108] The time period division module is responsible for dividing the different time periods of the specified date into redundant time periods and deviation time periods according to the predicted power consumption and the predicted power generation when the predicted power consumption cannot meet the demand of the predicted power consumption;

[0109] The reliability evaluation module is responsible for determining the energy reliability of the specified date based on the deviation amount of the predicted power consumption and the predicted power generation in different deviation time periods of the specified date;

[0110] The power supply adjustment module is responsible for determining the minimum power supply threshold of the greenhouse in different time periods on the specified date through the type, growth stage and area of the plants in different greenhouses, and determining the grid-side power and the power supply of the photovoltaic power generation system of the user and the greenhouse in different time periods based on the minimum power supply threshold as a constraint condition and the minimum economic cost of the specified date as a target.

[0111] Embodiment 3

[0112] In another aspect, the embodiments of the present application provide a computer readable storage medium, having stored thereon a computer program, which, when executed in a computer, causes the computer to perform the above-mentioned method for greenhouse cultivation based on mobile photovoltaic.

[0113] Embodiment 4

[0114] In another aspect, the embodiments of the present application provide a computer program product, characterized in that the computer program product stores instructions, which, when executed by a computer, cause the computer to implement the above-mentioned method for greenhouse cultivation based on mobile photovoltaic.

[0115] Based on the above technical solutions, the present application has the following beneficial effects:

[0116] 1. In the present application, the idle period of idle farmland is used to generate electricity by using the photovoltaic power generation system which is easy to disassemble, thereby avoiding the waste of land resources during the idle period of idle farmland, and through the photovoltaic power generation system which is easy to disassemble, not only the power generation is improved, but also the technical problem of unable to normal ploughing caused by the fixed setting of the photovoltaic power generation system is avoided, and the utilization efficiency of land resources is improved.

[0117] 2. In the present application, the minimum power supply threshold is used as a constraint condition, and the minimum economic cost of a specified date is used as a target to determine the power supply of the photovoltaic power generation system and the net-side power of the user and the greenhouse in different periods, which not only ensures the reliable power supply of the greenhouse from the perspective of the type of plants in the greenhouse, but also improves the economy of the overall power supply, and realizes the collaborative optimization control of the power consumption of the user and the greenhouse.

[0118] In the embodiments of the present application, the term "a plurality of" refers to two or more, unless otherwise explicitly limited. The terms "mounting", "connecting", "fixing" and the like should be understood in a broad sense, for example, "connecting" can be fixed connection, or detachable connection, or integral connection. For those skilled in the art, the specific meaning of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0119] In the description of the embodiments of the present application, it should be understood that the positions or location relationships indicated by the terms "upper", "lower" and the like are based on the positions or location relationships shown in the drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the devices or units referred to must have a particular direction, be constructed and operated in a particular direction, and therefore cannot be understood as limiting the embodiments of the present application.

[0120] In the description of the specification, the description of the terms "one embodiment", "one preferred embodiment", and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are contained in at least one embodiment or example of the embodiments of the present application. In the specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0121] The above are only preferred embodiments of the embodiments of the present application, and are not used to limit the embodiments of the present application. For those skilled in the art, the embodiments of the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application shall be included in the protection scope of the embodiments of the present application.

Claims

1. A method for greenhouse farming based on mobile photovoltaics, characterized in that, Specifically comprising: Utilize the idle period of the idle farmland to generate electricity by using the photovoltaic power generation system which is easy to disassemble to obtain electric energy; When the predicted power generation of the specified date cannot meet the demand of the predicted power consumption, the different time periods of the specified date are divided into redundant time periods and deviation time periods according to the predicted power consumption and the predicted power generation; Based on the deviation amount of the predicted power consumption and the predicted power generation of the different deviation time periods of the specified date, the energy consumption reliability of the specified date is determined, whether the energy consumption reliability meets the requirements is judged, if yes, the power supply process is carried out through the photovoltaic power generation system, if not, the next step is entered; The minimum power supply threshold of the photovoltaic power generation system for the greenhouse in different time periods of the specified date is determined by the type, growth stage and area of the plants in different greenhouses, and the minimum power supply threshold is taken as a constraint condition, and the economic cost of the specified date is taken as a target to determine the net-side electric energy of the user and the greenhouse and the power supply amount of the photovoltaic power generation system in different time periods; The method for determining the energy consumption reliability of the specified date is: The energy consumption deviation amount of the specified date is determined by the deviation amount of the predicted power consumption and the preset power generation of the specified date, and the basic energy consumption reliability of the specified date is determined in combination with the predicted power consumption of the specified date, whether the basic energy consumption reliability of the specified date meets the requirements is judged, if yes, it is determined that the energy consumption reliability of the specified date cannot meet the requirements, if not, the next step is entered; The energy consumption deviation amount of the different deviation time periods is determined according to the deviation amount of the predicted power consumption and the preset power generation of the different deviation time periods of the specified date, and the energy consumption reliability of the different deviation time periods is determined in combination with the predicted power consumption of the different deviation time periods, whether the number of the deviation time periods whose energy consumption reliability does not meet the requirements meets the requirements is judged, if yes, the next step is entered, if not, it is determined that the energy consumption reliability of the specified date cannot meet the requirements; Based on the energy consumption reliability of the different deviation time periods of the specified date, the number of the deviation time periods whose energy consumption reliability does not meet the requirements is determined, and the comprehensive energy consumption reliability of the deviation time periods of the specified date is determined in combination with the number of the deviation time periods and the energy consumption reliability of the different deviation time periods, whether the comprehensive energy consumption reliability of the deviation time periods of the specified date meets the requirements is judged, if yes, the next step is entered, if not, it is determined that the energy consumption reliability of the specified date cannot meet the requirements; The energy consumption reliability of the specified date is determined based on the comprehensive energy consumption reliability of the deviation time periods of the specified date and the basic energy consumption reliability of the specified date.

2. The mobile photovoltaic based greenhouse farming method as claimed in claim 1, wherein, The idle period of the idle farmland is determined according to the planting and harvesting cycle of the crops of the idle farmland.

3. The mobile photovoltaic based greenhouse farming method as claimed in claim 1 wherein, The photovoltaic support of the photovoltaic power generation system adopts a folding structure, and the photovoltaic support is fixed to the farmland through a non-permanent fixing structure.

4. The mobile photovoltaic based greenhouse farming method as claimed in claim 3, wherein, The non-permanent fixing structure includes frozen soil, bolts and frozen.

5. The mobile photovoltaic based greenhouse farming method as claimed in claim 1, wherein, According to the predicted power consumption and the predicted power generation, the different time periods of the specified date are divided into redundant time periods and deviation time periods, specifically comprising: When the predicted electricity consumption of the time period is less than the predicted electricity generation, the time period is determined as a deviation time period; When the predicted electricity consumption of the time period is not less than the predicted electricity generation, the time period is determined as a redundancy time period.

6. The mobile photovoltaic based greenhouse farming method as claimed in claim 1, wherein, The method for determining the minimum power supply threshold comprises: The minimum environmental temperature requirement of the plants in the different time periods of the different greenhouses is determined according to the types and growth stages of the plants in the different greenhouses, and the minimum electricity consumption in the different time periods of the different greenhouses on the specified date is determined in combination with the areas of the different greenhouses; The minimum power supply threshold for the power supply processing of the photovoltaic power generation system in the different time periods of the greenhouses on the specified date is determined based on the minimum electricity consumption in the different time periods of the different greenhouses on the specified date.

7. The mobile photovoltaic based greenhouse farming method as claimed in claim 6, wherein, The minimum environmental temperature requirement of the plants is determined according to the requirements of the plants, and specifically, the minimum environmental temperature requirement of the plants is determined based on the types and growth stages of the plants by using a mapping table.

8. A mobile photovoltaic-based greenhouse breeding system, using the mobile photovoltaic-based greenhouse breeding method of any one of claims 1-7, characterized in that, Specifically, the method comprises: The farmland power generation module, the time period division module, the reliability evaluation module, and the power supply adjustment module; The farmland power generation module is responsible for generating electricity by using the photovoltaic power generation system which is easy to disassemble during the idle time period of the idle farmland. The time period division module is responsible for dividing the different time periods of the specified date into the redundancy time period and the deviation time period according to the predicted electricity consumption and the predicted electricity generation when the predicted electricity generation of the specified date cannot meet the demand of the predicted electricity consumption. The reliability evaluation module is responsible for determining the energy consumption reliability of the specified date based on the deviation amount between the predicted electricity consumption and the predicted electricity generation of the different deviation time periods of the specified date. The power supply adjustment module is responsible for determining the minimum power supply threshold for the power supply processing of the photovoltaic power generation system in the different time periods of the greenhouses on the specified date by using the types, growth stages, and areas of the plants in the different greenhouses, and determining the grid-side electricity of the users and the greenhouses and the power supply amount of the photovoltaic power generation system in the different time periods by taking the minimum power supply threshold as the constraint condition and taking the minimum economic cost on the specified date as the target.

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