CN116417996A - Method, device, equipment and medium for controlling generating capacity of photovoltaic power generation - Google Patents

Method, device, equipment and medium for controlling generating capacity of photovoltaic power generation Download PDF

Info

Publication number
CN116417996A
CN116417996A CN202310415992.3A CN202310415992A CN116417996A CN 116417996 A CN116417996 A CN 116417996A CN 202310415992 A CN202310415992 A CN 202310415992A CN 116417996 A CN116417996 A CN 116417996A
Authority
CN
China
Prior art keywords
power generation
photovoltaic power
photovoltaic
generation amount
preset time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310415992.3A
Other languages
Chinese (zh)
Inventor
周顺
刘超
郝浩东
高阳
王英鉴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tianjin Expressway Xinchuang Technology Development Co ltd
Original Assignee
Tianjin Expressway Xinchuang Technology Development Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tianjin Expressway Xinchuang Technology Development Co ltd filed Critical Tianjin Expressway Xinchuang Technology Development Co ltd
Priority to CN202310415992.3A priority Critical patent/CN116417996A/en
Publication of CN116417996A publication Critical patent/CN116417996A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004Generation forecast, e.g. methods or systems for forecasting future energy generation
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J9/00Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting
    • H02J9/04Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
    • H02J9/06Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application relates to a method, a device, equipment and a medium for controlling the generating capacity of photovoltaic power generation, which are applied to the technical field of new energy power generation, and the method comprises the following steps: acquiring the current photovoltaic power generation amount; inputting the current photovoltaic power generation amount into a corresponding preset calculation model to obtain a first power generation amount of a photovoltaic power generation field in a first preset time; determining the current power generation time of the photovoltaic power plant based on the first power generation amount; and carrying out power supply switching based on the power generation time so as to ensure accurate control of the generated energy. The photovoltaic power generation device has the advantages of realizing accurate control on photovoltaic power generation capacity and reducing power generation capacity loss.

Description

Method, device, equipment and medium for controlling generating capacity of photovoltaic power generation
Technical Field
The application relates to the technical field of new energy power generation, in particular to a method, a device, equipment and a medium for controlling the power generation capacity of photovoltaic power generation.
Background
The new energy power generation generally refers to renewable energy sources which are developed and utilized on the basis of new technologies, and the renewable energy sources comprise solar energy, biomass energy, wind energy, geothermal energy, wave energy, ocean current energy, tidal energy and the like, and the power generation process is realized through the new energy sources by utilizing the related technologies.
At present, solar energy is not limited by geographical positions, and solar energy resources are abundant and widely used. The solar power generation system comprises a photovoltaic power generation panel, a solar controller and a storage battery pack, wherein solar energy is collected through the photovoltaic power generation panel, and then the solar energy is converted into electric energy through a related technology to supply power for a load or charge the storage battery pack so as to store the electric energy.
For some areas adopting photovoltaic power generation, the power supply pressure of a power grid can be relieved through the photovoltaic power generation, and certain electricity cost can be saved; when the regional solar energy adopting the photovoltaic power generation is insufficient to support the power consumption, the power grid is usually required to supply power, when the regional solar energy adopting the photovoltaic power generation is sufficient in power generation, the power grid can be provided with power supply, and the storage battery can be charged, but when the photovoltaic power generation is switched to supply power to the power grid, the photovoltaic power generation cannot be accurately controlled, so that the power generation loss is serious.
Disclosure of Invention
In order to realize accurate control of photovoltaic power generation and reduce power generation loss, the application provides a power generation control method, device, equipment and medium for photovoltaic power generation.
In a first aspect, the present application provides a method for controlling an amount of generated electricity generated by photovoltaic power generation, which adopts the following technical scheme:
a power generation amount control method of photovoltaic power generation, comprising:
acquiring the current photovoltaic power generation amount;
inputting the current photovoltaic power generation amount into a corresponding preset calculation model to obtain a first power generation amount of a photovoltaic power generation field in a first preset time;
determining the current power generation time of the photovoltaic power plant based on the first power generation amount;
and carrying out power supply switching based on the power generation time so as to ensure accurate control of the generated energy.
Through adopting above-mentioned technical scheme, with current photovoltaic generated energy input to predetermine in the calculation model, calculate photovoltaic generated energy through predetermining calculation model, obtain first generated energy, predict the electricity generation time according to first generated energy, power supply switching after electricity generation time finishes, realize the accurate control of photovoltaic generated energy, reduce the loss of generated energy, and then can guarantee that the electric energy that photovoltaic generating field sent is fully utilized, reduce extravagant.
Optionally, the pre-training process of the preset calculation model includes:
acquiring training data, wherein the training data comprise solar irradiation angles, illumination intensities, inclination angles of photovoltaic panels, areas of the photovoltaic panels, temperatures of the photovoltaic panels and photoelectric conversion efficiency at corresponding moments, and the photoelectric conversion efficiency is the ratio of actual power generation power to preset power generation efficiency in unit area of the photovoltaic panels;
determining a calculation function based on the training data, wherein the input information of the calculation function is the solar irradiation angle, the illumination intensity, the inclination angle, the area and the temperature of the photovoltaic panel at different moments and the photoelectric conversion efficiency at corresponding moments, and the output information of the calculation function is the generated energy of the photovoltaic power generation field within preset time;
and establishing the preset calculation model based on the calculation function.
Optionally, after the current photovoltaic power generation amount is input to a corresponding preset calculation model to obtain the first power generation amount of the photovoltaic power generation field within the first preset time, the method further includes:
acquiring historical electricity consumption and historical environment information in a preset area;
establishing a model database based on the historical electricity consumption and the historical environment information;
predicting the electricity consumption of the first preset time based on the model database to obtain predicted electricity consumption;
judging whether the first power generation amount of the photovoltaic power generation field meets the power consumption requirement or not based on the predicted power consumption amount;
if the electricity consumption requirement is not met, the generated energy of the photovoltaic power generation field is stored before the first preset time, and the first preset time is conveniently called.
Optionally, storing the power generation amount of the photovoltaic power generation field before the first preset time includes:
acquiring a second generating capacity in a second preset time period;
judging whether the second generated energy meets the electricity consumption of the second preset time period or not;
if the second generated energy meets the electricity consumption of the second preset time period, acquiring a difference value between the second generated energy and the electricity consumption of the second preset time period;
determining the power generation level of the current photovoltaic power generation field based on the difference value of the second power generation amount and the power consumption amount of the second preset time period; and storing the second power generation amount based on the power generation level.
Optionally, after the current photovoltaic power generation amount is input to a corresponding preset calculation model to obtain the first power generation amount of the photovoltaic power generation field within the first preset time, the method further includes:
acquiring a construction plan in a preset area;
judging whether the first power generation amount does not meet the requirement or not based on the construction plan;
and if the first power generation quantity does not meet the power consumption requirement, a power supply strategy is formulated based on the construction plan.
Optionally, the determining the current power generation time of the photovoltaic power plant based on the first power generation amount includes:
establishing a digital twin power generation model based on the photovoltaic power generation field;
acquiring power generation influence factors in a first preset time, wherein the power generation influence factors comprise illumination intensity, cloud layer thickness and solar illumination angle;
inputting the power generation influencing factors and the first power generation amount into the digital twin power generation model, and performing simulation operation through the digital twin power generation model to obtain an operation result;
and determining the power generation time of the current photovoltaic power generation field based on the operation result.
Optionally, the determining, based on the operation result, the current power generation time of the photovoltaic power generation field includes:
acquiring working equipment in the digital twin power generation model, wherein the working equipment comprises a photovoltaic power generation plate, an inverter, a storage device and a controller;
determining a power loss based on the work device;
determining a make-up time based on the power loss;
adjusting the power generation time based on the compensation time to obtain the latest power generation time;
and taking the latest power generation time as the power generation time of the current photovoltaic power plant.
In a second aspect, the present application provides a power generation amount control device for photovoltaic power generation, which adopts the following technical scheme: the generating capacity control device of the photovoltaic power generation is used for acquiring the current photovoltaic generating capacity;
the input module is used for inputting the current photovoltaic power generation amount into a corresponding preset calculation model to obtain the power generation amount of the photovoltaic power generation field in a first preset time;
the determining module is used for determining the generating time of the current photovoltaic power plant based on the generating capacity;
and the switching module is used for switching power supply based on the power generation time so as to ensure accurate control of the generated energy.
Through adopting above-mentioned technical scheme, with current photovoltaic generated energy input to predetermine in the calculation model, calculate photovoltaic generated energy through predetermining calculation model, obtain first generated energy, predict the electricity generation time according to first generated energy, power supply switching after electricity generation time finishes, realize the accurate control of photovoltaic generated energy, reduce the loss of generated energy, and then can guarantee that the electric energy that photovoltaic generating field sent is fully utilized, reduce extravagant.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
an electronic device comprising a processor coupled with a memory;
the memory has stored thereon a computer program that can be loaded by a processor and that executes the method for controlling the amount of power generation of photovoltaic power generation according to any one of the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the power generation amount control method of photovoltaic power generation of any one of the first aspect.
Drawings
Fig. 1 is a schematic flow chart of a method for controlling the power generation capacity of photovoltaic power generation according to an embodiment of the present application.
Fig. 2 is a block diagram of a photovoltaic power generation amount control device according to an embodiment of the present application.
Fig. 3 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides a method for controlling the generating capacity of photovoltaic power generation, which can be executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be, but is not limited to, a smart phone, a tablet computer, a desktop computer, etc.
As shown in fig. 1, a method for controlling the power generation amount of photovoltaic power generation is described as follows (steps S101 to S104):
and step S1O1, obtaining the current photovoltaic power generation amount.
In this embodiment, photovoltaic power generation is one of new energy power generation, and the photovoltaic power generation field includes a photovoltaic power generation panel, an inverter, a controller, an energy storage device and the like, and after the photovoltaic power generation panel receives solar energy, electrons and ions on the photovoltaic power generation panel move by the solar energy, so that direct current is formed, and after the direct current is converted into alternating current through the inverter, the alternating current is provided for alternating current electric equipment, and after the direct current is processed, the direct current can be directly supplied for the direct current electric equipment.
After the photovoltaic power generation panel converts into direct current, the direct current is detected, and the current photovoltaic power generation amount is calculated through the direct current.
Step S102, inputting the current photovoltaic power generation amount into a corresponding preset calculation model to obtain a first power generation amount of the photovoltaic power generation field within a first preset time.
Specifically, when the preset calculation model is adopted to calculate the generated energy in the first preset time, the preset calculation model needs to be trained, and the pre-training process of the preset calculation model comprises the following steps: training data are acquired, wherein the training data comprise solar irradiation angles, illumination intensities, inclination angles of the photovoltaic panels, areas of the photovoltaic panels, temperatures of the photovoltaic panels and photoelectric conversion efficiency at corresponding moments, and the photoelectric conversion efficiency is the ratio of actual power generation power to preset power generation efficiency in unit area of the photovoltaic panels; determining a calculation function based on training data, wherein input information of the calculation function is solar irradiation angle, illumination intensity, inclination angle, area and temperature of the photovoltaic panel at different moments and photoelectric conversion efficiency at corresponding moments, and output information of the calculation function is generated energy of a photovoltaic power generation field in preset time; and establishing a preset calculation model based on the calculation function.
When training the preset calculation model, firstly, continuously repeated training is carried out by obtaining the sun illumination angle, illumination intensity, inclination angle of the photovoltaic panel, light Fu Banmian volume and photovoltaic panel temperature at different moments and the photoelectric conversion efficiency at corresponding moments, and then, a calculation function is determined according to the training data.
Because a large amount of training data is needed when training the preset calculation model, the large amount of training data can be queried from different databases or can be obtained from the existing photovoltaic power generation field, and the details are not repeated here.
It should be noted that, the solar irradiation angle is related to the geographic position of the photovoltaic power generation field, wherein the calculation formula of the solar irradiation angle is as follows:
Figure BDA0004185106150000051
wherein h is the sun illumination angle,
Figure BDA0004185106150000052
the method is characterized in that the method is used for determining the geographical latitude of a photovoltaic power generation field, sigma is solar declination, and t is local.
In this embodiment, the conversion efficiency of each photovoltaic panel is different, so the generated energy is also different, so when training data is trained, training is required to be performed one by one according to the conversion efficiency of each photovoltaic panel, and then the sum of the generated energy converted by each photovoltaic panel is calculated, so that the preset generated energy of the photovoltaic panel is obtained.
After a large amount of training data is obtained, a calculation function F (X) can be determined according to the training data, a preset calculation model is built according to the calculation function F (X), the preset calculation model is a neural network model, and simple data calculation can be completed.
Further, before the current photovoltaic power generation amount is input into the corresponding preset calculation model to obtain the first power generation amount of the photovoltaic power generation field within the first preset time, the method further comprises: acquiring historical electricity consumption and historical environment information in a preset area; establishing a model database based on the historical electricity consumption and the historical environmental information; predicting the electricity consumption of the first preset time based on the model database to obtain predicted electricity consumption; judging whether the generated energy of the photovoltaic power generation field meets the power consumption requirement or not based on the predicted power consumption; if the electricity consumption requirement is not met, the generated energy of the photovoltaic power generation field is stored before the first preset time, and the first preset time is conveniently called.
In this embodiment, after obtaining the first electricity consumption, a model database is built according to the historical electricity consumption and the historical environmental information of the preset area, that is, the electricity consumption of the first preset time is predicted through the historical electricity consumption and the historical environmental information, so as to obtain the predicted electricity consumption, whether the first electricity consumption meets the electricity consumption requirement is judged according to the predicted electricity consumption, so as to achieve the purpose of prediction.
For example, when the current time is 2023, 3, 1, and the first preset time is 2023, 3, 31, the predicted electricity consumption is 5000kwh through analysis of the model database, and the first electricity generation amount at the first preset time is 4000kwh, and the first electricity generation amount of the photovoltaic power generation field cannot meet the electricity consumption requirement, then the 1000kwh electricity can be stored in the storage device before the first preset time.
Further, storing the power generation amount of the photovoltaic power generation field before the first preset time includes: acquiring a second generating capacity in a second preset time period; judging whether the second generated energy meets the electricity consumption of a second preset time period or not; if the second generated energy meets the electricity consumption of the second preset time period, acquiring a difference value between the second generated energy and the electricity consumption of the second preset time period; determining the power generation level of the current photovoltaic power generation field based on the difference value of the second power generation amount and the power consumption amount of the second preset time period; the second power generation amount is stored based on the power generation level.
In this embodiment, when the generated energy needs to be stored before the first preset time, it is required to determine whether the difference electric quantity between the first electric quantity and the predicted generated energy can be stored in the current time and the first preset time, and in order to ensure that the power supply quantity in each preset area can meet the power consumption requirement, the first generated energy needs to be stored on a date when the first generated energy is greater than the predicted generated energy in the second preset time.
For example, the current time is 2023, 3 and 1 day, the first preset time is 2023, 3 and 31 days, and the second preset time period is 3, 1 to 31 days, wherein each day in the second preset time period meets the electricity demand, but the electricity generation amount of each day is different, some times just meet the electricity demand, and some times exceed the electricity demand, so that the electricity generation level of the photovoltaic power generation field at the corresponding time needs to be determined according to the electricity generation amount of the current day and the difference electricity quantity of the predicted electricity consumption.
That is, a plurality of difference intervals are preset, the difference electric quantity is in different difference intervals to determine different power generation levels, for example, in the embodiment, the difference intervals are divided into three difference intervals, namely, 0-250kwh, 250kwh-500kwh and more than 500kwh, all adopt left-opening and right-closing intervals, the power generation levels are divided into three, namely, a first power generation level, a second power generation level and a third power generation level, the difference interval corresponding to the first power generation level is 0-250kwh, the difference interval corresponding to the second power generation level is 250kwh-500kwh, and the difference interval corresponding to the third power generation level is more than 500 kwh.
In the present embodiment, the second power generation amount is stored only when the power generation level of the photovoltaic power generation field is at the second power generation level or the third power generation level. The second power generation amount is the difference value between the first power generation amount and the predicted power generation amount.
If the electricity demand can not be met every day in the second preset time period, the national power grid is needed to be used for supplying power to the target area.
Further, after the current photovoltaic power generation amount is input into the corresponding preset calculation model to obtain the first power generation amount of the photovoltaic power generation field within the first preset time, the method further comprises the steps of obtaining a construction plan in a preset area; judging whether the first power generation amount does not meet the requirement or not based on the construction plan; and if the generated energy does not meet the electricity demand, a power supply strategy is formulated based on the construction plan.
In this embodiment, when a construction plan exists in a preset area, if a large amount of electric energy is needed, it is determined whether the first power generation amount can meet the electricity consumption requirement, when the first power generation amount meets the electricity consumption requirement, only the photovoltaic power generation field is used for supplying power, and when the first power generation amount does not meet the electricity consumption requirement, a power supply strategy needs to be formulated according to the construction plan, so that the power supply requirement of the preset area can be ensured, and normal implementation of the construction plan can be ensured.
For example, if the storage device can store the electric quantity required by the construction plan in the second preset time, the storage device and the photovoltaic power generation field are mixed to supply power to the target area, and if the storage device cannot store the electric quantity required by the construction plan or the storage device reaches the highest storage capacity in the second preset time and cannot meet the requirement of the construction plan, the photovoltaic power generation field and the national power grid are mixed to supply power, and adjustment of the photovoltaic power generation field is not needed.
Step S103, determining the current power generation time of the photovoltaic power plant based on the first power generation amount.
Specifically, determining the current power generation time of the photovoltaic power plant based on the first power generation amount includes: establishing a digital twin power generation model based on a photovoltaic power generation field; acquiring power generation influence factors in a first preset time, wherein the power generation influence factors comprise illumination intensity, cloud layer thickness and solar irradiation angle; inputting the power generation influencing factors and the first power generation amount into a digital twin power generation model, and performing simulation operation through the digital twin power generation model to obtain an operation result; and determining the power generation time of the current photovoltaic power generation field based on the operation result.
In this embodiment, after the first power generation amount is calculated by using a preset calculation model, the power generation time of the photovoltaic power generation field needs to be determined according to the first power generation amount, where the power generation time is the power consumption time when the power generation amount of the photovoltaic power generation field meets the preset area.
And establishing a digital twin power generation model according to the photovoltaic power generation field, wherein all parameters in the digital twin power generation model correspond to each equipment parameter in the photovoltaic power generation field, so that the parameters completely conform to the parameter setting of the photovoltaic power generation field in reality, and the digital twin power generation model is used for carrying out virtual operation, so that the power generation time of the photovoltaic power generation field can be calculated.
In this embodiment, because factors influencing photovoltaic power generation exist in reality, in order to be more fit to reality, power generation influencing factors in reality need to be input into the digital twin power generation model, and data interference is performed on the digital twin power generation model as interference factors, so that an operation result of the digital twin power generation model is more fit to the reality. The power generation influencing factors are obtained through relevant approaches such as weather forecast and the like.
Further, determining the current power generation time of the photovoltaic power generation field based on the operation result includes: acquiring working equipment in a digital twin power generation model, wherein the working equipment comprises a photovoltaic power generation plate, an inverter, a storage device and a controller; determining a power loss based on the work device; determining a make-up time based on the power loss; the power generation time is adjusted based on the compensation time, so that the latest power generation time is obtained; the latest power generation time is taken as the power generation time of the current photovoltaic power plant.
In this embodiment, since there is a loss when the light energy is converted into electric energy as long as the light energy passes through the working devices, in order to more accurately generate the power time, it is necessary to calculate the electric energy loss of each working device, and compensate the electric energy loss through the storage device, so as to ensure the electricity consumption requirement in the preset area.
For example, the current power generation time is 20 hours, at this time, the calculated compensation time is 2 hours after the power consumption of the working equipment, and then the storage device of the photovoltaic power generation field is required to compensate the power generation time of 2 hours, so as to meet the power consumption requirement in the preset area, the latest power generation time is 22 hours, and the rest 2 hours provide power for the national power grid.
Step S104, power supply switching is performed based on the power generation time to ensure accurate control of the power generation amount.
In this embodiment, when the power generation time of the photovoltaic power generation field is 22 hours, for example, power is supplied from eight points in the morning, power can be continuously supplied to six points in the morning of the next day, the switch of the photovoltaic power generation field is disconnected in advance before six points in the morning of the next day, then the state power grid is connected to supply power, then the power of the power grid is cut off when the power of the photovoltaic power generation field can be supplied next time, and the power is returned to the photovoltaic power generation field to supply power, so that accurate control of the generated energy of the photovoltaic power generation field is realized, and the loss of generated energy is reduced.
Fig. 2 is a block diagram of a photovoltaic power generation amount control device 200 according to an embodiment of the present application.
As shown in fig. 2, the power generation amount control device 200 for photovoltaic power generation mainly includes:
an acquisition module 201, configured to acquire a current photovoltaic power generation amount;
the input module 202 is configured to input a current photovoltaic power generation amount into a corresponding preset calculation model, so as to obtain a power generation amount of the photovoltaic power generation field within a first preset time;
a determining module 203 for determining a current photovoltaic power plant generation time based on the power generation amount;
and the switching module 204 is used for switching power supply based on the power generation time so as to ensure accurate control of the power generation amount.
As an optional implementation manner of this embodiment, the pre-training process for the input module 202 specifically further includes: training data are acquired, wherein the training data comprise solar irradiation angles, illumination intensities, inclination angles of the photovoltaic panels, areas of the photovoltaic panels, temperatures of the photovoltaic panels and photoelectric conversion efficiency at corresponding moments, and the photoelectric conversion efficiency is the ratio of actual power generation power to preset power generation efficiency in unit area of the photovoltaic panels; determining a calculation function based on training data, wherein input information of the calculation function is solar irradiation angle, illumination intensity, inclination angle, area and temperature of the photovoltaic panel at different moments and photoelectric conversion efficiency at corresponding moments, and output information of the calculation function is generated energy of a photovoltaic power generation field in preset time; and establishing a preset calculation model based on the calculation function.
As an optional implementation manner of this embodiment, the input module 202 is further specifically configured to, after inputting the current photovoltaic power generation amount to the corresponding preset calculation model to obtain the first power generation amount of the photovoltaic power generation field within the first preset time, the method further includes: acquiring historical electricity consumption and historical environment information in a preset area; establishing a model database based on the historical electricity consumption and the historical environmental information; predicting the electricity consumption of the first preset time based on the model database to obtain predicted electricity consumption; judging whether the first electricity generation amount of the photovoltaic power generation field meets electricity consumption requirements or not based on the predicted electricity consumption amount; if the electricity consumption requirement is not met, the generated energy of the photovoltaic power generation field is stored before the first preset time, and the first preset time is conveniently called.
As an optional implementation manner of this embodiment, the storing, by the input module 202, the generated energy of the photovoltaic power generation field before the first preset time further specifically includes: acquiring a second generating capacity in a second preset time period; judging whether the second generated energy meets the electricity consumption of a second preset time period or not; if the second generated energy meets the electricity consumption of the second preset time period, acquiring a difference value between the second generated energy and the electricity consumption of the second preset time period; determining the power generation level of the current photovoltaic power generation field based on the difference value of the second power generation amount and the power consumption amount of the second preset time period; the second power generation amount is stored based on the power generation level.
As an optional implementation manner of this embodiment, the input module 202 is further specifically configured to, after inputting the current photovoltaic power generation amount to the corresponding preset calculation model to obtain the first power generation amount of the photovoltaic power generation field within the first preset time, obtain a construction plan within the preset area; judging whether the first power generation amount does not meet the requirement or not based on the construction plan; and if the first power generation quantity does not meet the power consumption requirement, a power supply strategy is formulated based on the construction plan.
As an optional implementation manner of this embodiment, the determining module 203 is further specifically configured to determine, based on the first power generation amount, a current power generation time of the photovoltaic power plant includes: establishing a digital twin power generation model based on a photovoltaic power generation field; acquiring power generation influence factors in a first preset time, wherein the power generation influence factors comprise illumination intensity, cloud layer thickness and solar irradiation angle; inputting the power generation influencing factors and the first power generation amount into a digital twin power generation model, and performing simulation operation through the digital twin power generation model to obtain an operation result; and determining the power generation time of the current photovoltaic power generation field based on the operation result.
As an optional implementation manner of this embodiment, the determining module 203 is further specifically configured to determine, based on the operation result, a current power generation time of the photovoltaic power generation field, where the determining includes: acquiring working equipment in a digital twin power generation model, wherein the working equipment comprises a photovoltaic power generation plate, an inverter, a storage device and a controller; determining a power loss based on the work device; determining a make-up time based on the power loss; the power generation time is adjusted based on the compensation time, so that the latest power generation time is obtained; the latest power generation time is taken as the power generation time of the current photovoltaic power plant.
In one example, a module in any of the above apparatuses may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (application specific integratedcircuit, ASIC), or one or more digital signal processors (digital signal processor, DSP), or one or more field programmable gate arrays (field programmable gate array, FPGA), or a combination of at least two of these integrated circuit forms.
For another example, when a module in an apparatus may be implemented in the form of a scheduler of processing elements, the processing elements may be general-purpose processors, such as a central processing unit (central processing unit, CPU) or other processor that may invoke a program. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus and modules described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
Fig. 3 is a block diagram of an electronic device 300 according to an embodiment of the present application.
As shown in FIG. 3, electronic device 300 includes a processor 301 and memory 302, and may further include an information input/information output (I/O) interface 303, one or more of a communication component 304, and a communication bus 305.
Wherein the processor 301 is configured to control the overall operation of the electronic device 300 to complete all or part of the steps of the above-described photovoltaic power generation amount control method; the memory 302 is used to store various types of data to support operation at the electronic device 300, which may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data. The Memory 302 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as one or more of static random access Memory (Static Random Access Memory, SRAM), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The I/O interface 303 provides an interface between the processor 301 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 304 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G, or 4G, or a combination of one or more thereof, and accordingly the communication component 304 can include: wi-Fi part, bluetooth part, NFC part.
The electronic device 300 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), digital signal processors (Digital Signal Processor, abbreviated as DSP), digital signal processing devices (Digital Signal Processing Device, abbreviated as DSPD), programmable logic devices (Programmable Logic Device, abbreviated as PLD), field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), controllers, microcontrollers, microprocessors, or other electronic components for performing the photovoltaic power generation control method as set forth in the above embodiments.
Communication bus 305 may include a pathway to transfer information between the aforementioned components. The communication bus 305 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The communication bus 305 may be divided into an address bus, a data bus, a control bus, and the like.
The electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like, and may also be a server, and the like.
The application also provides a computer readable storage medium, and a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of the generating capacity control method of photovoltaic power generation are realized.
The computer readable storage medium may include: a U-disk, a removable hard disk, a read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the application referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or their equivalents is possible without departing from the spirit of the application. Such as the above-mentioned features and the technical features having similar functions (but not limited to) applied for in this application are replaced with each other.

Claims (10)

1. A power generation amount control method of photovoltaic power generation, characterized by comprising:
acquiring the current photovoltaic power generation amount;
inputting the current photovoltaic power generation amount into a corresponding preset calculation model to obtain a first power generation amount of a photovoltaic power generation field in a first preset time;
determining the current power generation time of the photovoltaic power plant based on the first power generation amount;
and carrying out power supply switching based on the power generation time so as to ensure accurate control of the generated energy.
2. The method of claim 1, wherein the pre-training process of the pre-set calculation model comprises:
acquiring training data, wherein the training data comprise solar irradiation angles, illumination intensities, inclination angles of photovoltaic panels, areas of the photovoltaic panels, temperatures of the photovoltaic panels and photoelectric conversion efficiency at corresponding moments, and the photoelectric conversion efficiency is the ratio of actual power generation power to preset power generation efficiency in unit area of the photovoltaic panels;
determining a calculation function based on the training data, wherein the input information of the calculation function is the solar irradiation angle, the illumination intensity, the inclination angle, the area and the temperature of the photovoltaic panel at different moments and the photoelectric conversion efficiency at corresponding moments, and the output information of the calculation function is the generated energy of the photovoltaic power generation field within preset time;
and establishing the preset calculation model based on the calculation function.
3. The method according to claim 1, wherein after the current photovoltaic power generation amount is input into the corresponding preset calculation model to obtain the first power generation amount of the photovoltaic power generation field within the first preset time, the method further comprises:
acquiring historical electricity consumption and historical environment information in a preset area;
establishing a model database based on the historical electricity consumption and the historical environment information;
predicting the electricity consumption of the first preset time based on the model database to obtain predicted electricity consumption;
judging whether the first power generation amount of the photovoltaic power generation field meets the power consumption requirement or not based on the predicted power consumption amount;
if the electricity consumption requirement is not met, the generated energy of the photovoltaic power generation field is stored before the first preset time, and the first preset time is conveniently called.
4. A method according to claim 3, wherein storing the power generation of the photovoltaic power generation field before the first preset time comprises:
acquiring a second generating capacity in a second preset time period;
judging whether the second generated energy meets the electricity consumption of the second preset time period or not;
if the second generated energy meets the electricity consumption of the second preset time period, acquiring a difference value between the second generated energy and the electricity consumption of the second preset time period;
determining the power generation level of the current photovoltaic power generation field based on the difference value of the second power generation amount and the power consumption amount of the second preset time period;
and storing the second power generation amount based on the power generation level.
5. The method according to claim 1, wherein after the current photovoltaic power generation amount is input into the corresponding preset calculation model to obtain the first power generation amount of the photovoltaic power generation field within the first preset time, the method further comprises:
acquiring a construction plan in a preset area;
judging whether the first power generation amount does not meet the requirement or not based on the construction plan;
and if the first power generation quantity does not meet the power consumption requirement, a power supply strategy is formulated based on the construction plan.
6. The method of claim 1, wherein the determining a current photovoltaic power plant generation time based on the first power generation amount comprises:
establishing a digital twin power generation model based on the photovoltaic power generation field;
acquiring power generation influence factors in a first preset time, wherein the power generation influence factors comprise illumination intensity, cloud layer thickness and solar illumination angle;
inputting the power generation influencing factors and the first power generation amount into the digital twin power generation model, and performing simulation operation through the digital twin power generation model to obtain an operation result;
and determining the power generation time of the current photovoltaic power generation field based on the operation result.
7. The method of claim 6, wherein determining a current generation time of the photovoltaic power generation field based on the operation result comprises:
acquiring working equipment in the digital twin power generation model, wherein the working equipment comprises a photovoltaic power generation plate, an inverter, a storage device and a controller;
determining a power loss based on the work device;
determining a make-up time based on the power loss;
adjusting the power generation time based on the compensation time to obtain the latest power generation time;
and taking the latest power generation time as the power generation time of the current photovoltaic power plant.
8. A power generation amount control device for photovoltaic power generation, characterized by comprising:
the acquisition module is used for acquiring the current photovoltaic power generation amount;
the input module is used for inputting the current photovoltaic power generation amount into a corresponding preset calculation model to obtain the power generation amount of the photovoltaic power generation field in a first preset time;
the determining module is used for determining the generating time of the current photovoltaic power plant based on the generating capacity;
and the switching module is used for switching power supply based on the power generation time so as to ensure accurate control of the generated energy.
9. An electronic device comprising a processor coupled to a memory;
the processor is configured to execute a computer program stored in the memory to cause the intelligent terminal or electronic device to perform the method of any of claims 1 to 7.
10. A computer readable storage medium comprising a computer program or instructions which, when run on a computer, cause the computer to perform the method of any of claims 1 to 7.
CN202310415992.3A 2023-04-18 2023-04-18 Method, device, equipment and medium for controlling generating capacity of photovoltaic power generation Pending CN116417996A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310415992.3A CN116417996A (en) 2023-04-18 2023-04-18 Method, device, equipment and medium for controlling generating capacity of photovoltaic power generation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310415992.3A CN116417996A (en) 2023-04-18 2023-04-18 Method, device, equipment and medium for controlling generating capacity of photovoltaic power generation

Publications (1)

Publication Number Publication Date
CN116417996A true CN116417996A (en) 2023-07-11

Family

ID=87054464

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310415992.3A Pending CN116417996A (en) 2023-04-18 2023-04-18 Method, device, equipment and medium for controlling generating capacity of photovoltaic power generation

Country Status (1)

Country Link
CN (1) CN116417996A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117522156A (en) * 2023-10-17 2024-02-06 江苏尚诚能源科技有限公司 Distributed photovoltaic prediction evaluation method and system based on big data analysis

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117522156A (en) * 2023-10-17 2024-02-06 江苏尚诚能源科技有限公司 Distributed photovoltaic prediction evaluation method and system based on big data analysis

Similar Documents

Publication Publication Date Title
Huang et al. Modeling and multi-objective optimization of a stand-alone PV-hydrogen-retired EV battery hybrid energy system
Kikuchi et al. Battery-assisted low-cost hydrogen production from solar energy: Rational target setting for future technology systems
Zahboune et al. Optimal hybrid renewable energy design in autonomous system using Modified Electric System Cascade Analysis and Homer software
Li et al. Cooperative planning model of renewable energy sources and energy storage units in active distribution systems: A bi-level model and Pareto analysis
US9438041B2 (en) System and method for energy distribution
Li et al. Storage aided system property enhancing and hybrid robust smoothing for large-scale PV systems
Wang et al. Economic benefits of integrating solar-powered heat pumps into a CHP system
Fux et al. Economic and environmental aspects of the component sizing for a stand-alone building energy system: A case study
WO2014143908A1 (en) System and method for energy distribution
US20220376499A1 (en) System and method for load and source forecasting for increasing electrical grid component longevity
Douglas Dynamic modelling and simulation of a solar-PV hybrid battery and hydrogen energy storage system
Faxas-Guzmán et al. Priority load control algorithm for optimal energy management in stand-alone photovoltaic systems
Jia et al. A retroactive approach to microgrid real-time scheduling in quest of perfect dispatch solution
Zhang et al. A simulation-based policy improvement method for joint-operation of building microgrids with distributed solar power and battery
Bruni et al. Fuel cell based power systems to supply power to Telecom Stations
Muthuvel et al. Sizing of PV array in a DC nano-grid for isolated households after alteration in time of consumption
CN116417996A (en) Method, device, equipment and medium for controlling generating capacity of photovoltaic power generation
CN109961182A (en) Power supply data management method and device, computer equipment and storage medium
Azzolini et al. A control strategy for improved efficiency in direct-coupled photovoltaic systems through load management
Tian et al. Hybrid improved Sparrow Search Algorithm and sequential quadratic programming for solving the cost minimization of a hybrid photovoltaic, diesel generator, and battery energy storage system
CN111191812A (en) Photovoltaic output prediction method and system
CN116111656A (en) Micro-grid dispatching method and device
Wakui et al. Impact analysis of sampling time interval and battery installation on optimal operational planning of residential cogeneration systems without electric power export
Khan et al. Techno-economic analysis and predictive operation of a power-to-hydrogen for renewable microgrids
Sundaramoorthy et al. Performance evaluation of a control strategy developed for a hybrid energy system integrated in DC-AC microgrids

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination