CN116579591A - Building photovoltaic installation management method and system based on power prediction - Google Patents
Building photovoltaic installation management method and system based on power prediction Download PDFInfo
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- 238000009434 installation Methods 0.000 title claims abstract description 211
- 238000007726 management method Methods 0.000 title claims abstract description 27
- 238000010248 power generation Methods 0.000 claims abstract description 161
- 238000000034 method Methods 0.000 claims abstract description 17
- 230000007613 environmental effect Effects 0.000 claims description 61
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000005286 illumination Methods 0.000 claims description 9
- 238000013507 mapping Methods 0.000 claims description 8
- 230000005611 electricity Effects 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 abstract description 11
- 238000011156 evaluation Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The disclosure provides a building photovoltaic installation management method and system based on power prediction, and relates to the technical field of photovoltaic building, wherein the method comprises the following steps: acquiring area information of a target area of a target building for paving at least one photovoltaic device; obtaining target power demand information; obtaining a plurality of unit power generation information; calculating to obtain the predicted power of the single power generation device in a preset time range; formulating a plurality of installation schemes and setting obtaining constraint conditions; the constraint condition is combined to improve photovoltaic power generation and lighting area's purpose, optimizing in a plurality of installation schemes, obtain optimal installation scheme, solve among the prior art existence because photovoltaic device's installation setting is unreasonable, and then lead to the technical problem that power generation demand and the interior lighting demand of building are difficult to balanced, when reaching the assurance power generation, promote lighting effect, balanced power generation demand and the interior lighting demand's of building technical effect.
Description
Technical Field
The disclosure relates to the technical field of photovoltaic buildings, in particular to a building photovoltaic installation management method and system based on power prediction.
Background
Photovoltaic building integration is a technology that integrates solar power generation (photovoltaic) products into a building. The integrated photovoltaic building means that the surface mounting photovoltaic component of the building outer enclosing structure provides power, and meanwhile, the integrated photovoltaic building is used as a functional part of the building structure, replaces a part of traditional building structures such as roof boards, tiles, windows, building facades, rain shelters and the like, and can be made into a photovoltaic multifunctional building component to realize more functions.
At present, the technical problems that the installation and the arrangement of a photovoltaic device are unreasonable, so that the generation power requirement and the lighting requirement in a building are difficult to balance exist in the prior art.
Disclosure of Invention
The disclosure provides a building photovoltaic installation management method and system based on power prediction, which are used for solving the technical problems in the prior art that the installation setting of a photovoltaic device is unreasonable, so that the generated power requirement and the lighting requirement in a building are difficult to balance.
According to a first aspect of the present disclosure, there is provided a building photovoltaic installation management method based on power prediction, comprising: acquiring area information of a target area of a target building for paving at least one photovoltaic device, wherein the target area is also used for paving a lighting device; acquiring the power consumption requirement of the target building for photovoltaic power generation, and acquiring target power requirement information; acquiring the power generation power of a single photovoltaic device for photovoltaic power generation in a preset time period under different multiple environmental parameter sets, and acquiring multiple unit power generation power information; acquiring the time of the environment of the target building under the plurality of environment parameter sets within the past preset time range, acquiring a plurality of unit time information, and calculating to acquire the predicted power of a single power generation device within the preset time range by combining the plurality of unit power generation information; setting a plurality of installation schemes for paving at least one photovoltaic device and a lighting device by combining the area information, and setting and obtaining constraint conditions according to the target power requirement; and combining the constraint conditions to improve the photovoltaic power generation power and the lighting area, and optimizing in the plurality of installation schemes to obtain an optimal installation scheme.
According to a second aspect of the present disclosure, there is provided a building photovoltaic installation management system based on power prediction, comprising: the system comprises a target area information acquisition module, a lighting device acquisition module and a control module, wherein the target area information acquisition module is used for acquiring area information of a target area of a target building for paving at least one photovoltaic device, and the target area is also used for paving the lighting device; the power consumption demand analysis module is used for acquiring the power consumption demand of the target building by using photovoltaic power generation and acquiring target power demand information; the unit power generation power determining module is used for obtaining the power generation power of the photovoltaic power generation of a single photovoltaic device in a preset time period under different multiple environment parameter sets to obtain multiple unit power generation power information; the predicted power generation power acquisition module is used for acquiring time of the environment where the target building is located in the plurality of environment parameter sets within a past preset time range, acquiring a plurality of unit time information, and calculating to acquire the predicted power generation power of a single power generation device within the preset time range by combining the plurality of unit power generation power information; the constraint condition setting module is used for combining the area information, formulating a plurality of installation schemes for paving at least one photovoltaic device and a lighting device, and setting and obtaining constraint conditions according to the target power requirement; and the installation scheme optimizing module is used for combining the constraint conditions so as to improve the photovoltaic power generation power and the lighting area, and optimizing the photovoltaic power generation power and the lighting area in the plurality of installation schemes to obtain an optimal installation scheme.
According to the building photovoltaic installation management method based on power prediction, the target power demand information is obtained according to the power demand in the target building, so that the single photovoltaic device is predicted to generate power under different environment parameter sets according to the environment parameters, the accuracy of the power generation prediction is improved, and the predicted power generation power is obtained. The method comprises the steps of setting a plurality of installation schemes according to the target power requirement, setting obtaining constraint conditions, combining the constraint conditions to improve the photovoltaic power generation power and the lighting area, optimizing in the installation schemes, obtaining the optimal installation scheme, ensuring the power generation power, improving the lighting effect, and balancing the power generation power requirement and the lighting requirement in the building.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
For a clearer description of the present disclosure or of the prior art, the drawings used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are only exemplary and that other drawings may be obtained, without inventive effort, by a person skilled in the art, from the provided drawings.
Fig. 1 is a schematic flow chart of a photovoltaic installation management method for a building based on power prediction according to an embodiment of the disclosure;
FIG. 2 is a flow diagram of obtaining constraints in an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart of obtaining an optimal installation scheme in an embodiment of the disclosure;
fig. 4 is a schematic structural diagram of a photovoltaic installation management system for buildings based on power prediction according to an embodiment of the present disclosure.
Reference numerals illustrate: the system comprises a target area information acquisition module 11, an electricity consumption power demand analysis module 12, a unit generation power determination module 13, a predicted generation power acquisition module 14, a constraint condition setting module 15 and an installation scheme optimizing module 16.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In order to solve the technical problem that the power generation requirement and the lighting requirement in the building are difficult to balance due to unreasonable installation and arrangement of the photovoltaic device in the prior art, the inventor of the present disclosure obtains the photovoltaic installation management method and system for the building based on power prediction through creative labor.
Fig. 1 is a schematic diagram of a photovoltaic installation management method for a building based on power prediction according to an embodiment of the disclosure, as shown in fig. 1, where the method includes:
step S100: acquiring area information of a target area of a target building for paving at least one photovoltaic device, wherein the target area is also used for paving a lighting device;
specifically, the target building is a building where a photovoltaic device needs to be installed, and may be a building, a park, or the like, where the target area is an area for laying at least one photovoltaic device, for example, a roof or a curtain wall of the target building, and area information of the target area, for example, an area of the roof or an area of the curtain wall, is obtained, and the target area is also used for laying a lighting device. The photovoltaic device refers to a power generation device for directly converting solar radiation energy into electric energy by utilizing photovoltaic effect of a photovoltaic cell, the photovoltaic device is generally installed on a roof, a curtain wall and the like, and the lighting device refers to a device for indoor lighting of a building, such as a glass window.
Step S200: acquiring the power consumption requirement of the target building for photovoltaic power generation, and acquiring target power requirement information;
wherein, step S200 of the embodiment of the present disclosure further includes:
step S210: obtaining peak power consumption of electric equipment in the target building and safe power consumption of a safe power supply in the target building;
step S220: and combining the peak power consumption and the safe power consumption, and calculating to obtain target power demand information according to the preset time range.
Specifically, after the photovoltaic device is installed, electric energy is provided for the target building through photovoltaic power generation, so that the electric power demand of the target building in a preset time range by using the photovoltaic power generation needs to be predicted, target power demand information is obtained, for example, the preset time range is 1 year, and the electric power consumption required in 1 year is calculated as the target power demand information.
Specifically, historical power information of electric equipment in a target building in a preset time range is obtained, peak power and safe power of a safe power supply in the target building are obtained according to the historical power information, the peak power refers to the maximum power of the electric equipment in the target building in the preset time range (for example, 1 year), the safe power supply refers to a power-off protection power supply, the power-off protection power supply is uninterruptible power supply equipment, for example, the equipment in the building cannot normally operate due to power failure, at the moment, the safe power supply is required to ensure normal operation of part of equipment (for example, emergency lamps and the like), and the safe power is the power of the safe power supply in the preset time range. And adding the peak power and the safe power to obtain the target power demand information. And by acquiring the target power demand information, the photovoltaic device is convenient to install according to the target demand power, and the electricity consumption demand of the target building is ensured.
Step S300: acquiring the power generation power of a single photovoltaic device for photovoltaic power generation in a preset time period under different multiple environmental parameter sets, and acquiring multiple unit power generation power information;
wherein, step S300 of the embodiment of the present disclosure further includes:
step S310: detecting and calculating environmental parameters according to a plurality of environmental indexes to obtain a plurality of environmental parameter sets, wherein the plurality of environmental indexes comprise illumination intensity, temperature and humidity, and each environmental parameter set comprises a plurality of environmental parameter intervals of the plurality of environmental indexes;
step S320: and according to the plurality of environment parameter sets, acquiring and calculating to obtain the plurality of unit power generation information according to the data of photovoltaic power generation performed by a single photovoltaic device in different environment parameter sets in the past time.
Specifically, the power generation power of photovoltaic power generation of a single photovoltaic device is obtained under different multiple environmental parameter sets within a preset time period, multiple unit power generation power information is obtained, each environmental parameter set contains illumination intensity, temperature and humidity information, the preset time period is 1 day, for example, within 1 day, and the power generation amount of the single photovoltaic device is used as the unit power generation power under different environmental parameter sets.
Specifically, according to a plurality of environmental indexes, environmental parameter detection and calculation are performed to obtain a plurality of environmental parameter sets, wherein the plurality of environmental indexes comprise illumination intensity, temperature and humidity, a plurality of environmental parameter intervals of the plurality of environmental indexes are included in each environmental parameter set, historical environmental weather information in a past period is colloquially obtained, the historical environmental weather information comprises historical illumination intensity information, historical temperature information and historical humidity information, the historical environmental weather information is divided into intervals according to numerical variation characteristics of the historical environmental weather information, and a plurality of environmental parameter sets are obtained, wherein each environmental parameter set comprises an illumination intensity, temperature and humidity interval range, that is, one environmental parameter set comprises an illumination intensity variation interval, a temperature variation interval and a humidity variation interval. Further, according to the data of photovoltaic power generation of a single photovoltaic device under different environment parameter sets in the past time, a plurality of power generation powers of the single photovoltaic device under any environment parameter set are obtained, the power generation powers are averaged, the power generation powers are used as unit power generation power information corresponding to one environment parameter set, one environment parameter set corresponds to one unit power generation power information, and therefore the power generation power information of the units is obtained, and the effect of providing data support for subsequent photovoltaic device installation management is achieved.
Step S400: acquiring the time of the environment of the target building under the plurality of environment parameter sets within the past preset time range, acquiring a plurality of unit time information, and calculating to acquire the predicted power of a single power generation device within the preset time range by combining the plurality of unit power generation information;
wherein, step S400 of the embodiment of the present disclosure further includes:
step S410: collecting environmental parameters of the environment where the target building is located in a plurality of preset time periods within the past time range, and obtaining a plurality of historical environmental parameter sets;
step S420: judging the number of the plurality of historical environment parameter sets falling into the plurality of environment parameter sets respectively, and obtaining a plurality of pieces of preset time period number information;
step S430: and combining the plurality of pieces of preset time period quantity information and the preset time period, and calculating to obtain the plurality of pieces of unit time information.
Specifically, environmental parameters of an environment where a target building is located in a plurality of preset time periods are obtained, a plurality of historical environmental parameter sets are obtained, each environmental parameter set comprises a historical illumination intensity interval, a historical temperature interval and a historical humidity interval, the plurality of historical environmental parameter sets fall into a corresponding plurality of environmental parameter sets respectively, the number of the historical environmental parameter sets falling into each environmental parameter set is determined, the number of the historical environmental parameter sets falling into each environmental parameter set is used as a plurality of preset time period number information, for example, assuming that the preset time period is 1 day, assuming that 5 environmental parameter sets exist, the environmental parameter sets of every 1 day in the past 1 year are obtained to construct the historical environmental parameter sets, a plurality of historical environmental parameter sets fall into the plurality of environmental parameter sets, the time of each environmental parameter set falling into one of the environmental parameter sets is obtained, for example, 60 is used as the preset time period number information corresponding to the environmental parameter sets, the preset time period is 1 day, the unit time information corresponding to the environmental parameter sets is 60 days, and therefore a plurality of unit time information corresponding to the environmental parameter sets is obtained.
The power generation system comprises a plurality of unit power generation information and a plurality of unit time information, wherein the unit power generation information and the unit time information correspond to a plurality of environment parameter sets, the unit power generation information refers to the generated energy of a single photovoltaic device in a preset time period under the environment parameter sets respectively, the unit time information refers to the time corresponding to the environment parameter sets respectively in the preset time range. And further combining the plurality of unit power generation information and the plurality of unit time information, multiplying the plurality of unit power generation information corresponding to the plurality of environment parameter sets by the plurality of unit power generation information to obtain a plurality of power generation powers corresponding to the plurality of environment parameter sets respectively, wherein the addition result of the plurality of power generation powers is the predicted power generation power of the single power generation device in the past preset time range.
Step S500: setting a plurality of installation schemes for paving at least one photovoltaic device and a lighting device by combining the area information, and setting and obtaining constraint conditions according to the target power requirement;
as shown in fig. 2, step S500 of the embodiment of the disclosure further includes:
step S510: the method comprises the steps of obtaining areas required by installation of a single photovoltaic device and a single lighting device, and obtaining a photovoltaic unit area and a lighting unit area;
step S520: randomly setting at least one photovoltaic device and at least one lighting device in the target area according to the photovoltaic unit area and the lighting unit area to obtain a plurality of installation schemes, wherein the total area of the photovoltaic device and the lighting device installed in each installation scheme is smaller than or equal to the area information;
step S530: and according to the predicted power generation, the total predicted power generation of at least one photovoltaic device in each installation scheme is greater than or equal to the target power demand information, and the target power demand information is used as the constraint condition.
Specifically, a plurality of installation schemes for paving at least one photovoltaic device and a lighting device are formulated by combining area information of a target area, that is, each scheme at least comprises one photovoltaic device and one lighting device, so that the photovoltaic devices are prevented from being installed too densely to influence indoor lighting, and meanwhile, the generated energy of the photovoltaic devices in the installation schemes is determined to meet the target power requirement according to the target power requirement, so that the generated energy is used as constraint conditions of the installation schemes, and the installation schemes capable of meeting the target power requirement are obtained.
Specifically, according to the equipment information of the photovoltaic devices and the lighting devices to be installed, the areas required by installing the single photovoltaic device and the single lighting device are obtained and used as the photovoltaic unit area and the lighting unit area, at least one photovoltaic device and at least one lighting device are randomly arranged in a target area according to the area information of the photovoltaic unit area and the lighting unit area and combined with the area information of the target area, a plurality of installation schemes are obtained, the number of the photovoltaic devices and the lighting devices contained in the installation schemes is different, the total area of the photovoltaic devices and the lighting devices installed in each installation scheme is smaller than or equal to the area information of the target area, the total predicted power generation power of at least one photovoltaic device in each installation scheme is larger than or equal to the target power demand information according to the predicted power generation power, and the constraint condition is used for constraining the number of the photovoltaic devices in the installation schemes.
Step S600: and combining the constraint conditions to improve the photovoltaic power generation power and the lighting area, and optimizing in the plurality of installation schemes to obtain an optimal installation scheme.
As shown in fig. 3, step S600 of the embodiment of the disclosure further includes:
step S610: randomly selecting a first installation scheme from the plurality of installation schemes, and taking the first installation scheme as a current optimal installation scheme under the condition that the first installation scheme meets the constraint condition;
step S620: acquiring a first installation score of the first installation scheme;
step S630: continuing to randomly select a second installation scheme from the plurality of installation schemes, and acquiring a second installation score of the second installation scheme under the condition that the second installation scheme meets the constraint condition;
step S640: judging whether the second installation score is larger than the first installation score, and if so, taking the second installation scheme as the current optimal installation scheme;
step S650: and continuing optimizing until the preset optimizing times are reached, and taking the final current optimal installation scheme as the optimal installation scheme.
Wherein, step S620 of the embodiment of the present disclosure further includes:
step S621: according to the number of the photovoltaic devices and the lighting devices in the first installation scheme, calculating and obtaining total predicted power and total lighting area;
step S622: calculating a proportion parameter that the total predicted power is greater than the target power demand information, and inputting the proportion parameter into a preset photovoltaic power generation scoring standard to obtain a photovoltaic power generation score, wherein the photovoltaic power generation scoring standard comprises a mapping relation of a plurality of sample proportion parameters and a plurality of sample photovoltaic power generation scores;
step S623: inputting the total lighting area into a preset lighting scoring standard to obtain lighting scores, wherein the lighting scoring standard comprises mapping relations of a plurality of sample lighting areas and a plurality of sample lighting scores;
step S624: and carrying out weighted calculation on the photovoltaic power generation score and the lighting score to obtain the first installation score.
Specifically, when the photovoltaic device and the lighting device are installed, the lighting effect of the building is better when the electricity generation amount of the photovoltaic device meets the electricity demand, so that the photovoltaic power generation power and the lighting area are improved, optimization is performed in a plurality of installation schemes based on constraint conditions, the photovoltaic power generation power and the lighting area are combined to comprehensively evaluate the plurality of installation schemes, the installation scheme with the highest evaluation result is obtained as the optimal installation scheme, the photovoltaic device and the lighting device are installed in the target area of the target building according to the optimal installation scheme, the lighting effect is improved while the power generation power is ensured, and the technical effects of balancing the power generation power demand and the lighting demand in the building are achieved.
Specifically, a first installation scheme is randomly selected from a plurality of installation schemes, in other words, the first installation scheme is any one of the plurality of installation schemes, and under the condition that the first installation scheme meets constraint conditions, namely, the total predicted power generation of the photovoltaic devices in the first installation scheme is greater than or equal to target power demand information, the total predicted power generation is the predicted power generation multiplied by the number of the photovoltaic devices in the first installation scheme, the first installation scheme is taken as the current optimal installation scheme, and then the first installation scheme is comprehensively evaluated by combining the power generation and the lighting area, so that the comprehensive evaluation result is taken as a first installation score of the first installation scheme.
And continuously randomly selecting one scheme from the plurality of installation schemes as a second installation scheme, under the condition that the total predicted power generation of the photovoltaic device in the second installation scheme is greater than or equal to the target power demand information, comprehensively evaluating the second installation scheme by combining the power generation and the lighting area, taking the comprehensive evaluation result as a second installation score of the second installation scheme, judging whether the second installation score is greater than the first installation score, and taking the second installation scheme as the current optimal installation scheme under the condition that the second installation score is greater than the first installation score, otherwise, continuously taking the first installation scheme as the current optimal installation scheme. And the same method is adopted, one installation scheme is selected randomly in a plurality of installation schemes, the installation score is obtained, the installation score is compared with the installation score of the current optimal installation scheme, the current optimal installation scheme is updated, the step is repeated until the preset optimizing times are reached, the preset optimizing times are required to be set according to actual conditions, for example, 50 times, the installation scheme is selected randomly from the plurality of installation schemes for 50 times, the installation evaluation is carried out, the last update of the current optimal installation scheme is carried out, the final current optimal installation scheme is taken as the optimal installation scheme, the installation of the photovoltaic device and the lighting device is conveniently carried out by subsequent staff according to the optimal installation scheme, and the lighting effect is ensured while the power generation power is ensured.
Specifically, the procedure for obtaining the first installation score of the first installation scheme is as follows: according to the number of photovoltaic devices and the number of lighting devices in the first installation scheme, calculating to obtain total predicted power and total lighting area according to the predicted power of a single power generation device in a preset time range, dividing the total predicted power by target power demand information, and subtracting 1 from the total predicted power, wherein the obtained calculation result is a proportion parameter that the total predicted power is larger than the target power demand information. Further obtaining a plurality of sample proportion parameters, configuring a plurality of corresponding sample photovoltaic power generation scores for the plurality of sample proportion parameters, inputting the proportion parameters into a preset photovoltaic power generation score standard, matching the sample proportion parameters corresponding to the proportion parameters in the photovoltaic power generation score standard, and further obtaining the corresponding photovoltaic power generation scores according to the mapping relation between the plurality of sample proportion parameters and the plurality of sample photovoltaic power generation scores. And similarly, acquiring a plurality of sample lighting areas, configuring a plurality of corresponding sample lighting scores for the plurality of sample lighting areas, wherein the plurality of sample lighting areas and the plurality of sample lighting scores have a corresponding relation, inputting a proportion parameter into a preset lighting score standard, matching sample lighting areas corresponding to the total lighting area in a photovoltaic power generation score standard, and further matching to obtain corresponding lighting scores according to the mapping relation between the plurality of sample lighting areas and the plurality of sample lighting scores. The sample photovoltaic power generation score and the sample lighting score can be evaluated and obtained based on technicians and designers in the building photovoltaic field, and in general, the larger the proportionality coefficient is and the larger the lighting area is, the larger the sample photovoltaic power generation score and the sample lighting score are.
And then set up the weight coefficient to photovoltaic power generation grade and daylighting grade separately, can set up according to the actual demand of the user specifically, if the user attaches more importance to the generating power, then the weight coefficient to photovoltaic power generation grade sets up some higher, for example the weight coefficient to photovoltaic power generation grade sets up to 0.6, the weight coefficient to daylighting grade sets up to 0.4, otherwise, if attach more importance to the daylighting effect, the weight coefficient to daylighting grade sets up some higher, and then carry on the weighted calculation to photovoltaic power generation grade and daylighting grade according to the weight coefficient set up, regard weighted calculation result as the first installation grade, obtain the second installation grade subsequently, and carry on the process that install the grade each time in the iterative optimization is the same as the method to obtain the first installation grade. By carrying out the installation scoring, the obtained installation scoring is used as the basis of iterative optimization, so that the optimal installation scheme can be conveniently screened out.
Based on the above analysis, the disclosure provides a photovoltaic installation management method for a building based on power prediction, in this embodiment, target power demand information is obtained according to power demand in a target building, and then prediction of power generation power is performed on a single photovoltaic device under different environmental parameter sets according to environmental parameters, so that accuracy of power generation power prediction is improved, and predicted power generation power is obtained. The method comprises the steps of setting a plurality of installation schemes according to the target power requirement, setting obtaining constraint conditions, combining the constraint conditions to improve the photovoltaic power generation power and the lighting area, optimizing in the installation schemes, obtaining the optimal installation scheme, ensuring the power generation power, improving the lighting effect, and balancing the power generation power requirement and the lighting requirement in the building.
Based on the same inventive concept as the building photovoltaic installation management method based on power prediction in the foregoing embodiments, as shown in fig. 4, the present disclosure further provides a building photovoltaic installation management system based on power prediction, the system comprising:
the target area information acquisition module 11 is used for acquiring area information of a target area of a target building for paving at least one photovoltaic device, wherein the target area is also used for paving a lighting device;
the electricity consumption power demand analysis module 12 is used for acquiring electricity consumption power demand of the target building by photovoltaic power generation and acquiring target power demand information;
the unit power generation power determining module 13 is used for obtaining power generation power of photovoltaic power generation of a single photovoltaic device in a preset time period under different multiple environment parameter sets to obtain multiple unit power generation power information;
the predicted power generation acquisition module 14 is configured to acquire time when the environment where the target building is located is in the plurality of environment parameter sets within a preset time range in the past, obtain a plurality of unit time information, and calculate and obtain predicted power generation of a single power generation device within the preset time range by combining the plurality of unit power generation information;
the constraint condition setting module 15 is used for combining the area information, making a plurality of installation schemes for paving at least one photovoltaic device and a lighting device, and setting and obtaining constraint conditions according to the target power requirement;
the installation scheme optimizing module 16 is used for combining the constraint conditions to improve photovoltaic power generation power and lighting area, and optimizing is carried out in the installation schemes to obtain an optimal installation scheme.
Further, the system further comprises:
the power consumption acquisition module is used for acquiring peak power consumption of electric equipment in the target building and safe power consumption of a safe power supply in the target building;
and the power calculation module is used for combining the peak power consumption and the safe power consumption, and calculating and obtaining target power demand information according to the preset time range.
Further, the system further comprises:
the environment parameter set acquisition module is used for carrying out environment parameter detection and calculation according to a plurality of environment indexes to acquire a plurality of environment parameter sets, wherein the plurality of environment indexes comprise illumination intensity, temperature and humidity, and each environment parameter set comprises a plurality of environment parameter intervals of the plurality of environment indexes;
the unit power generation power calculation module is used for acquiring and calculating the plurality of unit power generation power information according to the plurality of environment parameter sets and the data of photovoltaic power generation performed by a single photovoltaic device in the past under different environment parameter sets.
Further, the system further comprises:
the historical environment parameter collection module is used for collecting environment parameters of the environment where the target building is located in a plurality of preset time periods in the past time range to obtain a plurality of historical environment parameter sets;
the preset time period number acquisition module is used for judging the number of the plurality of historical environment parameter sets falling into the plurality of environment parameter sets respectively to obtain a plurality of preset time period number information;
the unit time information calculation module is used for combining the plurality of pieces of preset time period quantity information and the preset time period, and calculating and obtaining the plurality of pieces of unit time information.
Further, the system further comprises:
the device installation area acquisition module is used for acquiring areas required by installation of a single photovoltaic device and a single lighting device and acquiring a photovoltaic unit area and a lighting unit area;
the installation scheme acquisition modules are used for randomly arranging at least one photovoltaic device and at least one lighting device in the target area according to the photovoltaic unit area and the lighting unit area to acquire the installation schemes, and the total area of the photovoltaic device and the lighting device installed in each installation scheme is smaller than or equal to the area information;
and the power generation power constraint module is used for taking the total predicted power generation power of at least one photovoltaic device in each installation scheme as the constraint condition, wherein the total predicted power generation power is greater than or equal to the target power demand information according to the predicted power generation power.
Further, the system further comprises:
the first installation scheme acquisition module is used for randomly selecting and acquiring a first installation scheme from the plurality of installation schemes, and the first installation scheme is used as the current optimal installation scheme under the condition that the first installation scheme meets the constraint condition;
the first installation score acquisition module is used for acquiring a first installation score of the first installation scheme;
the second installation score acquisition module is used for continuing to randomly select a second installation scheme from the plurality of installation schemes, and acquiring a second installation score of the second installation scheme under the condition that the second installation scheme meets the constraint condition;
the installation score judging module is used for judging whether the second installation score is larger than the first installation score or not, and if so, the second installation scheme is used as the current optimal installation scheme;
the optimal installation scheme determining module is used for continuing optimizing until the preset optimizing times are reached, and the final current optimal installation scheme is used as the optimal installation scheme.
Further, the system further comprises:
the device quantity analysis module is used for calculating and obtaining total predicted power generation and total lighting area according to the quantity of the photovoltaic devices and the lighting devices in the first installation scheme;
the photovoltaic power generation score acquisition module is used for calculating the proportion parameter that the total predicted power generation power is larger than the target power demand information, inputting the proportion parameter into a preset photovoltaic power generation score standard to obtain a photovoltaic power generation score, wherein the photovoltaic power generation score standard comprises a mapping relation of a plurality of sample proportion parameters and a plurality of sample photovoltaic power generation scores;
the lighting score acquisition module is used for inputting the total lighting area into a preset lighting score standard to obtain lighting scores, and the lighting score standard comprises a mapping relation of a plurality of sample lighting areas and a plurality of sample lighting scores;
and the weighting calculation module is used for carrying out weighting calculation on the photovoltaic power generation score and the lighting score to obtain the first installation score.
The specific example of a power prediction based building photovoltaic installation management method in the foregoing embodiment is also applicable to a power prediction based building photovoltaic installation management system in this embodiment, and by the foregoing detailed description of a power prediction based building photovoltaic installation management method, those skilled in the art clearly know a power prediction based building photovoltaic installation management system in this embodiment, so that the details thereof will not be described herein for brevity of description. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the disclosed aspects are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (8)
1. A method of photovoltaic installation management for buildings based on power prediction, the method comprising:
acquiring area information of a target area of a target building for paving at least one photovoltaic device, wherein the target area is also used for paving a lighting device;
acquiring the power consumption requirement of the target building for photovoltaic power generation, and acquiring target power requirement information;
acquiring the power generation power of a single photovoltaic device for photovoltaic power generation in a preset time period under different multiple environmental parameter sets, and acquiring multiple unit power generation power information;
acquiring the time of the environment of the target building under the plurality of environment parameter sets within the past preset time range, acquiring a plurality of unit time information, and calculating to acquire the predicted power of a single power generation device within the preset time range by combining the plurality of unit power generation information;
setting a plurality of installation schemes for paving at least one photovoltaic device and a lighting device by combining the area information, and setting and obtaining constraint conditions according to the target power requirement;
and combining the constraint conditions to improve the photovoltaic power generation power and the lighting area, and optimizing in the plurality of installation schemes to obtain an optimal installation scheme.
2. The photovoltaic installation management method for buildings based on power prediction according to claim 1, wherein obtaining the electricity power demand of the target building using photovoltaic power generation, obtaining target power demand information, comprises:
obtaining peak power consumption of electric equipment in the target building and safe power consumption of a safe power supply in the target building;
and combining the peak power consumption and the safe power consumption, and calculating to obtain target power demand information according to the preset time range.
3. The method for managing building photovoltaic installation based on power prediction according to claim 1, wherein obtaining the power generated by a single photovoltaic power generation device for photovoltaic power generation in a preset time period under different multiple environmental parameter sets, and obtaining multiple unit power information comprises:
detecting and calculating environmental parameters according to a plurality of environmental indexes to obtain a plurality of environmental parameter sets, wherein the plurality of environmental indexes comprise illumination intensity, temperature and humidity, and each environmental parameter set comprises a plurality of environmental parameter intervals of the plurality of environmental indexes;
and according to the plurality of environment parameter sets, acquiring and calculating to obtain the plurality of unit power generation information according to the data of photovoltaic power generation performed by a single photovoltaic device in different environment parameter sets in the past time.
4. A photovoltaic installation management method for buildings based on power prediction according to claim 3, wherein obtaining the time that the environment of the target building is under the plurality of environmental parameter sets within the past preset time range, and obtaining a plurality of unit time information, comprises:
collecting environmental parameters of the environment where the target building is located in a plurality of preset time periods within the past time range, and obtaining a plurality of historical environmental parameter sets;
judging the number of the plurality of historical environment parameter sets falling into the plurality of environment parameter sets respectively, and obtaining a plurality of pieces of preset time period number information;
and combining the plurality of pieces of preset time period quantity information and the preset time period, and calculating to obtain the plurality of pieces of unit time information.
5. A method of photovoltaic installation management for buildings based on power prediction according to claim 1, characterized in that, in combination with said area information, a plurality of installation schemes for laying at least one photovoltaic device and lighting devices are formulated, comprising:
the method comprises the steps of obtaining areas required by installation of a single photovoltaic device and a single lighting device, and obtaining a photovoltaic unit area and a lighting unit area;
randomly setting at least one photovoltaic device and at least one lighting device in the target area according to the photovoltaic unit area and the lighting unit area to obtain a plurality of installation schemes, wherein the total area of the photovoltaic device and the lighting device installed in each installation scheme is smaller than or equal to the area information;
and according to the predicted power generation, the total predicted power generation of at least one photovoltaic device in each installation scheme is greater than or equal to the target power demand information, and the target power demand information is used as the constraint condition.
6. The photovoltaic installation management method for buildings based on power prediction according to claim 1, wherein the constraint condition is combined to improve photovoltaic power generation and lighting area, and optimizing is performed in the installation schemes, comprising:
randomly selecting a first installation scheme from the plurality of installation schemes, and taking the first installation scheme as a current optimal installation scheme under the condition that the first installation scheme meets the constraint condition;
acquiring a first installation score of the first installation scheme;
continuing to randomly select a second installation scheme from the plurality of installation schemes, and acquiring a second installation score of the second installation scheme under the condition that the second installation scheme meets the constraint condition;
judging whether the second installation score is larger than the first installation score, and if so, taking the second installation scheme as the current optimal installation scheme;
and continuing optimizing until the preset optimizing times are reached, and taking the final current optimal installation scheme as the optimal installation scheme.
7. A method of photovoltaic installation management for buildings based on power prediction according to claim 6, wherein obtaining a first installation score for the first installation plan comprises:
according to the number of the photovoltaic devices and the lighting devices in the first installation scheme, calculating and obtaining total predicted power and total lighting area;
calculating a proportion parameter that the total predicted power is greater than the target power demand information, and inputting the proportion parameter into a preset photovoltaic power generation scoring standard to obtain a photovoltaic power generation score, wherein the photovoltaic power generation scoring standard comprises a mapping relation of a plurality of sample proportion parameters and a plurality of sample photovoltaic power generation scores;
inputting the total lighting area into a preset lighting scoring standard to obtain lighting scores, wherein the lighting scoring standard comprises mapping relations of a plurality of sample lighting areas and a plurality of sample lighting scores;
and carrying out weighted calculation on the photovoltaic power generation score and the lighting score to obtain the first installation score.
8. A photovoltaic installation management system for buildings based on power prediction, the system comprising:
the system comprises a target area information acquisition module, a lighting device acquisition module and a control module, wherein the target area information acquisition module is used for acquiring area information of a target area of a target building for paving at least one photovoltaic device, and the target area is also used for paving the lighting device;
the power consumption demand analysis module is used for acquiring the power consumption demand of the target building by using photovoltaic power generation and acquiring target power demand information;
the unit power generation power determining module is used for obtaining the power generation power of the photovoltaic power generation of a single photovoltaic device in a preset time period under different multiple environment parameter sets to obtain multiple unit power generation power information;
the predicted power generation power acquisition module is used for acquiring time of the environment where the target building is located in the plurality of environment parameter sets within a past preset time range, acquiring a plurality of unit time information, and calculating to acquire the predicted power generation power of a single power generation device within the preset time range by combining the plurality of unit power generation power information;
the constraint condition setting module is used for combining the area information, formulating a plurality of installation schemes for paving at least one photovoltaic device and a lighting device, and setting and obtaining constraint conditions according to the target power requirement;
and the installation scheme optimizing module is used for combining the constraint conditions so as to improve the photovoltaic power generation power and the lighting area, and optimizing the photovoltaic power generation power and the lighting area in the plurality of installation schemes to obtain an optimal installation scheme.
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