CN118316084B - Photovoltaic energy storage allocation method and system - Google Patents
Photovoltaic energy storage allocation method and system Download PDFInfo
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Abstract
The invention discloses a photovoltaic energy storage allocation method and a system, wherein the method comprises the following steps: acquiring weather forecast data; determining a power generation power change curve of the photovoltaic power generation equipment and energy storage data of the first energy storage equipment through a preset illumination intensity change prediction model; determining a third energy storage device through a preset photovoltaic energy storage consumption model, and calculating required energy storage data of the third energy storage device according to the minimum energy consumption data of the third energy storage device; calculating the undetermined energy storage distribution proportion of the third energy storage equipment according to the demand level of the electric equipment corresponding to the third energy storage equipment; verifying and adjusting the corresponding undetermined energy storage distribution proportion through the predicted electricity utilization time of the third energy storage equipment, and determining the energy storage distribution proportion of the third energy storage equipment; and carrying out energy storage distribution on each third energy storage device according to the energy storage distribution proportion of the third energy storage device. According to the invention, the energy storage distribution proportion of the energy storage equipment is adjusted according to the equipment electricity consumption requirement, intelligent management is carried out on a plurality of energy storage equipment, and the energy storage allocation efficiency is improved.
Description
Technical Field
The application relates to the technical field of photovoltaic energy storage, in particular to a photovoltaic energy storage allocation method and a photovoltaic energy storage allocation system.
Background
The core technology of the photovoltaic energy storage allocation method is how to intelligently manage a plurality of energy storage modules in the system so as to improve the stability and efficiency of the whole system. The method aims to solve the defects of the traditional control mode, particularly how to quickly adapt to a new topological structure when the number of the energy storage modules is changed or increased, and ensure the safe and efficient operation of the system.
At present, most photovoltaic energy storage systems adopt a traditional centralized control mode, namely, all energy storage modules (devices) are uniformly managed and distributed through a main control module. However, this approach has a significant disadvantage in that when the number of energy storage modules changes, a new master control module needs to be determined again, which not only increases the complexity of the system, but also may cause the master control module to be overloaded, affecting the response speed of the system. Meanwhile, in the afternoon and evening electricity consumption peak period, the electricity consumption requirement of all electric equipment of a user can not be met through one energy storage module, so that the power supply voltage can not reach the rated voltage of the electric equipment, and the phenomena that the electric equipment can not normally operate, trip and the like occur.
In addition, as the number of energy storage modules increases, the control logic of the system becomes more complex. This is because as the number of energy storage modules increases, so too does the variables and equations that need to be processed, which requires more complex control algorithms to meet the system requirements.
Therefore, the prior art has defects, and improvement is needed.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a photovoltaic energy storage allocation method and system, which are capable of intelligently managing a plurality of energy storage devices and improving energy storage allocation efficiency by setting corresponding energy storage data for different energy storage devices according to the use requirements of users on electric equipment.
The first aspect of the invention provides a photovoltaic energy storage allocation method, which comprises the following steps:
Acquiring historical electricity utilization data and historical meteorological data of a user;
Analyzing according to the historical electricity consumption data and the historical meteorological data of the user, and respectively establishing a preset illumination intensity change prediction model and a preset photovoltaic energy storage consumption model;
Acquiring weather forecast data;
analyzing the weather forecast data through the preset illumination intensity change forecast model to determine a power generation power change curve of the photovoltaic power generation equipment and energy storage data of the first energy storage equipment;
analyzing the weather forecast data through the preset photovoltaic energy storage consumption model, determining a third energy storage device, and calculating the required energy storage data of the third energy storage device according to the minimum energy consumption data of the third energy storage device;
Calculating according to the demand levels of all electric equipment corresponding to the third energy storage equipment, and determining the undetermined energy storage distribution proportion of the third energy storage equipment;
Verifying and adjusting the corresponding undetermined energy storage distribution proportion through the predicted electricity utilization time of the third energy storage equipment, and determining the energy storage distribution proportion of the third energy storage equipment;
and carrying out energy storage distribution on each third energy storage device according to the energy storage distribution proportion of the third energy storage device.
In this scheme, through predetermine illumination intensity change prediction model is analyzed weather forecast data, confirm photovoltaic power generation equipment's generating power change curve and first energy storage equipment's energy storage data, include:
analyzing the weather forecast data through the preset illumination intensity change forecast model, and drawing an illumination intensity change curve of a first preset time interval;
Calculating the illumination intensity change curve based on the photoelectric conversion rate of the photovoltaic power generation equipment, and determining a power generation power change curve of the photovoltaic power generation equipment;
and calculating the generation power change curve of the photovoltaic power generation equipment and the area of the coordinate axis forming area, and determining the energy storage data of the first energy storage equipment.
In this scheme, through predetermine photovoltaic energy storage consumption model is analyzed to weather forecast data, confirm third energy storage equipment, include:
Analyzing the weather forecast data through the preset photovoltaic energy storage consumption model, and determining forecast electricity utilization data of each electric equipment in a second preset time interval by combining historical behavior data of a user;
Accumulating the predicted electricity consumption data of the electric equipment corresponding to the same second energy storage equipment, and determining the minimum energy consumption data of each second energy storage equipment;
And determining the second energy storage device with the minimum energy consumption data larger than the preset threshold value as a third energy storage device.
In this scheme, the calculating the required energy storage data of the third energy storage device according to the minimum energy consumption data of the third energy storage device includes:
And performing difference value calculation on the minimum energy consumption data and the residual energy storage data of the third energy storage device, adding the calculation result and the corresponding preset energy storage data, and determining the required energy storage data of the third energy storage device.
In this scheme, calculate according to the corresponding demand level of all consumer of third energy storage equipment, confirm the pending energy storage distribution proportion of third energy storage equipment, include:
determining the demand level of the electric equipment according to the user identity information;
weighting calculation is carried out on demand grades of all electric equipment corresponding to the third energy storage equipment, and energy storage score of each third energy storage equipment is determined;
Carrying out standardized processing on the energy storage score and the required energy storage data of each third energy storage device, adding the energy storage score and the required energy storage data of the same third energy storage device, and determining the energy storage distribution score of each third energy storage device;
accumulating the energy storage distribution scores of all the third energy storage devices to determine a total energy storage distribution score;
and determining the undetermined energy storage distribution proportion of each third energy storage device according to the ratio of the energy storage distribution score to the total energy storage distribution score.
In this scheme, verify the adjustment through the prediction electricity consumption time of third energy storage equipment to the corresponding pending energy storage distribution proportion, confirm the energy storage distribution proportion of third energy storage equipment, include:
Determining a predicted electricity utilization time of the third energy storage device according to the user historical electricity utilization data and the weather prediction data;
cutting a power generation power change curve of the photovoltaic power generation equipment based on the predicted power utilization time of the third energy storage equipment, and determining a first power generation power change curve;
calculating first predicted energy storage data of the third energy storage device through the first power generation change curve;
Calculating the ratio of the first predicted energy storage data to the corresponding required energy storage data, and determining a first energy storage ratio;
when the first energy storage ratio is in a preset ratio range, the third energy storage equipment meets energy storage requirements, and the undetermined energy storage distribution ratio of the third energy storage equipment is determined to be an energy storage distribution ratio;
And otherwise, adjusting the undetermined energy storage distribution proportion of the third energy storage device based on the first energy storage ratio until the first energy storage ratio is in a preset ratio range, and determining the current undetermined energy storage distribution proportion as an energy storage distribution proportion.
In this scheme, still include:
Determining a remaining energy storage distribution ratio according to the energy storage distribution ratio of each third energy storage device;
Sequentially adjusting the energy storage distribution proportion of each third energy storage device according to the order of the energy storage scores from large to small, and ending the energy storage distribution proportion adjustment when the remaining energy storage distribution proportion does not meet the adjustment condition of the undetermined energy storage distribution proportion of the current third energy storage device; and determining the remaining energy storage distribution proportion as the energy storage distribution proportion of the current third energy storage device.
In this scheme, still include:
verifying each third energy storage device based on a preset time interval, and calculating the predicted energy storage completion time of the third energy storage devices according to the actual energy storage data, the minimum energy consumption data, the energy storage distribution proportion and the power generation power change curve of the photovoltaic power generation devices of the third energy storage devices;
marking a third energy storage device with a predicted energy storage completion time greater than the predicted electricity consumption time;
And when the marking times are greater than the preset times, adjusting the energy storage distribution proportion of the third energy storage device.
The second aspect of the present invention provides a photovoltaic energy storage deployment system, comprising:
the first data acquisition module is used for acquiring historical electricity utilization data and historical meteorological data of a user;
the model building module is used for analyzing according to the historical electricity consumption data and the historical meteorological data of the user and respectively building a preset illumination intensity change prediction model and a preset photovoltaic energy storage consumption model;
the second data acquisition module is used for acquiring weather forecast data;
The first model analysis module is used for analyzing the weather forecast data through the preset illumination intensity change forecast model and determining a power generation power change curve of the photovoltaic power generation equipment and energy storage data of the first energy storage equipment;
the second model analysis module is used for analyzing the weather forecast data through the preset photovoltaic energy storage consumption model, determining a third energy storage device and calculating the required energy storage data of the third energy storage device according to the minimum energy consumption data of the third energy storage device;
the first energy storage distribution module is used for calculating according to the demand levels of all electric equipment corresponding to the third energy storage equipment and determining the undetermined energy storage distribution proportion of the third energy storage equipment;
The second energy storage distribution module is used for verifying and adjusting the corresponding undetermined energy storage distribution proportion through the predicted electricity utilization time of the third energy storage equipment, and determining the energy storage distribution proportion of the third energy storage equipment; and carrying out energy storage distribution on each third energy storage device according to the energy storage distribution proportion of the third energy storage device.
A third aspect of the present invention provides a computer readable storage medium comprising a photovoltaic energy storage deployment method program which, when executed by a processor, implements the steps of a photovoltaic energy storage deployment method as described above.
The invention discloses a photovoltaic energy storage allocation method and a system, wherein the method comprises the following steps: acquiring weather forecast data; determining a power generation power change curve of the photovoltaic power generation equipment and energy storage data of the first energy storage equipment through a preset illumination intensity change prediction model; determining a third energy storage device through a preset photovoltaic energy storage consumption model, and calculating required energy storage data of the third energy storage device according to the minimum energy consumption data of the third energy storage device; calculating the undetermined energy storage distribution proportion of the third energy storage equipment according to the demand level of the electric equipment corresponding to the third energy storage equipment; verifying and adjusting the corresponding undetermined energy storage distribution proportion through the predicted electricity utilization time of the third energy storage equipment, and determining the energy storage distribution proportion of the third energy storage equipment; and carrying out energy storage distribution on each third energy storage device according to the energy storage distribution proportion of the third energy storage device. According to the invention, the energy storage distribution proportion of the energy storage equipment is adjusted according to the equipment electricity consumption requirement, intelligent management is carried out on a plurality of energy storage equipment, and the energy storage allocation efficiency is improved.
Drawings
FIG. 1 shows a flow chart of a photovoltaic energy storage deployment method provided by the invention;
FIG. 2 shows a flow chart of a method for calculating the pending energy storage allocation ratio of a third energy storage device provided by the present invention;
FIG. 3 is a flowchart illustrating a method for calculating an energy storage distribution ratio of a third energy storage device according to the present invention;
Fig. 4 shows a block diagram of a photovoltaic energy storage deployment system provided by the invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
Fig. 1 shows a flow chart of a photovoltaic energy storage deployment method provided by the invention.
As shown in fig. 1, the invention discloses a photovoltaic energy storage allocation method, which comprises the following steps:
s102, acquiring historical electricity utilization data and historical meteorological data of a user;
s104, analyzing according to historical electricity consumption data and historical meteorological data of a user, and respectively establishing a preset illumination intensity change prediction model and a preset photovoltaic energy storage consumption model;
S106, weather forecast data are obtained;
s108, analyzing weather forecast data through a preset illumination intensity change forecast model, and determining a power generation power change curve of the photovoltaic power generation equipment and energy storage data of the first energy storage equipment;
S110, analyzing weather forecast data through a preset photovoltaic energy storage consumption model, determining a third energy storage device, and calculating required energy storage data of the third energy storage device according to the minimum energy consumption data of the third energy storage device;
S112, calculating according to the demand levels of all electric equipment corresponding to the third energy storage equipment, and determining the undetermined energy storage distribution proportion of the third energy storage equipment;
S114, verifying and adjusting the corresponding undetermined energy storage distribution proportion through the predicted electricity utilization time of the third energy storage device, and determining the energy storage distribution proportion of the third energy storage device;
and S116, carrying out energy storage distribution on each third energy storage device according to the energy storage distribution proportion of the third energy storage device.
According to the embodiment of the invention, the historical power consumption data of the user comprise the type of the electric equipment, the starting working time of the electric equipment, the finishing working time of the electric equipment, the working frequency of the electric equipment and the like, the historical weather data are the historical weather data of the area where the user is located, and the historical weather data can be obtained through a Chinese weather data network and the like, wherein the historical weather data comprise the daily hour-by-hour weather data of the area in the last three years, and the daily hour-by-hour weather data comprise temperature, humidity, wind direction, precipitation, illumination intensity and the like. After user authorization, the collected historical electricity data and historical meteorological data of the user are subjected to data cleaning, including missing value processing, abnormal value detection and processing, data deduplication, data format standardization and the like. By analyzing the historical meteorological data, a preset illumination intensity change prediction model is established according to the influence relationship of different meteorological conditions on illumination intensity. And analyzing according to historical electricity consumption data and historical meteorological data of a user, determining the correlations among the on time, the off time and indoor environment data of electric equipment, and establishing a preset photovoltaic energy storage consumption model.
The method comprises the steps of acquiring weather forecast data hour by hour in a certain time in the future through a Chinese weather data network and the like, drawing an illumination intensity change curve according to the weather forecast data of each whole time through a preset illumination intensity change forecast model, calculating photoelectric conversion rate through attenuation rate of photovoltaic power generation equipment (such as a photovoltaic panel), and determining a power generation power change curve of the photovoltaic power generation equipment by combining sunlight irradiation angle and included angle of the photovoltaic power generation equipment.
And analyzing weather forecast data through a preset photovoltaic energy storage consumption model, and forecasting forecast power utilization data of each power utilization device in power utilization time by combining the determined power utilization device working conditions in the historical behavior data of the user. According to the binding relation between the electric equipment and the second energy storage equipment, the minimum energy consumption data of the second energy storage equipment is determined by calculating the sum of the predicted electricity consumption data of the electric equipment bound by the second energy storage equipment, the minimum energy consumption data is compared with the residual energy storage data in the second energy storage equipment, and the second energy storage equipment needing to store energy is determined to be third energy storage equipment.
The user analyzes the use data of the electric equipment in a certain time, determines the accumulated working time according to the starting working time and the stopping working time of the electric equipment, calculates the use frequency of the electric equipment according to the ratio of the accumulated working time to the second preset time interval, and determines the demand level of the electric equipment, wherein the higher the use frequency of the electric equipment is, the higher the demand level is. And carrying out weighted calculation on demand levels of all electric equipment corresponding to the third energy storage equipment, determining an energy storage score of each third energy storage equipment, and determining required energy storage data through a difference value between the minimum energy consumption data and the residual energy storage data of the third energy storage equipment. And respectively carrying out standardized processing on the energy storage score and the required energy storage data of the third energy storage device, adding the processed energy storage score and the required energy storage data, determining the energy storage distribution score of the third energy storage device, and determining the undetermined energy storage distribution proportion of the third energy storage device through the ratio of the energy storage distribution score of the third energy storage device to the total energy storage distribution score of the third energy storage device.
And analyzing each third energy storage device in sequence according to the order of the energy storage scores from large to small, and calculating final energy storage data, namely first predicted energy storage data, before the third energy storage devices supply power to the electric equipment through the power generation power change curve of the photovoltaic power generation device and the undetermined energy storage distribution proportion of the third energy storage devices. And adjusting the undetermined energy storage distribution proportion of the third energy storage device by comparing the first predicted energy storage data with the corresponding required energy storage data, and determining the energy storage distribution proportion of the third energy storage device.
The first energy storage device is used for temporarily storing the electric energy generated by the photovoltaic power generation device, and the second energy storage device and the third energy storage device are used for storing the electric energy generated by the photovoltaic power generation device and supplying power to electric equipment. And after the energy storage distribution proportion of the third energy storage devices is determined, transferring the electric energy in the first energy storage devices according to the energy storage distribution proportion of each third energy storage device, and directly storing the electric energy generated by the photovoltaic power generation device into the corresponding third energy storage devices according to the energy storage distribution proportion of the third energy storage devices. And adjusting the energy storage distribution proportion of the third energy storage devices according to the energy storage state of each third energy storage device according to the preset time interval of the system.
When the third energy storage equipment completely meets the energy storage requirement, the energy storage distribution proportion of the energy storage equipment can be adjusted according to the user requirement, and the second energy storage equipment and the third energy storage equipment can be continuously stored, or generated electric energy can be directly fed into a power grid.
According to the embodiment of the invention, weather forecast data is analyzed through a preset illumination intensity change forecast model, and a generation power change curve of photovoltaic power generation equipment and energy storage data of first energy storage equipment are determined, which comprises the following steps:
Analyzing weather forecast data through a preset illumination intensity change forecast model, and drawing an illumination intensity change curve of a first preset time interval;
calculating an illumination intensity change curve based on the photoelectric conversion rate of the photovoltaic power generation equipment, and determining a power generation power change curve of the photovoltaic power generation equipment;
and calculating the generation power change curve of the photovoltaic power generation equipment and the area of the coordinate axis forming area, and determining the energy storage data of the first energy storage equipment.
The method includes the steps of screening sample meteorological data based on hour-by-hour meteorological data, selecting sample meteorological data of a plurality of same meteorological data for each whole point time, and determining illumination intensity data of each whole point time by calculating an average value of illumination intensities corresponding to the sample meteorological data of the same time. Establishing an x-axis as time (h), and a y-axis as a coordinate axis of illumination intensity (Lux), inputting illumination intensity data of each whole point time into the coordinate axis, determining coordinate data of the illumination intensity data of each whole point time, connecting the coordinate data through a smooth curve, and determining an illumination intensity change curve of a first preset time interval. The method comprises the steps of determining the light energy conversion efficiency of each whole point time through the sunlight irradiation angle and the included angle of the photovoltaic power generation equipment, determining the power generation power of the photovoltaic power generation equipment of each whole point time by combining the aging attenuation rate of the photovoltaic power generation equipment, establishing a coordinate axis with an x axis as time (h) and a y axis as power generation power (kW), inputting the power generation power of the photovoltaic power generation equipment of each whole point time into the coordinate axis, connecting coordinate data corresponding to the power generation power of the photovoltaic power generation equipment of each whole point time through a smooth curve, and determining the power generation power change curve of the photovoltaic power generation equipment. Wherein the unit of energy storage data of the first energy storage device is kilowatt-hours (kWh). The initial value of the first preset time interval is one day (24 hours), and 6 early morning points of each day are taken as the dividing time of different first preset time intervals, and a person skilled in the art can adjust the value range and the dividing time of the first preset time interval according to actual requirements.
The photovoltaic power generation equipment has a photoelectric conversion rate=100% -attenuation rate of the photovoltaic power generation equipment, the attenuation rate of the photovoltaic power generation equipment in the first year is about 1% under the condition of normal aging attenuation, the attenuation rate after the second year is linearly changed, the attenuation rate of the photovoltaic power generation equipment in 30 years reaches the maximum value, and the specific attenuation rate can be determined according to historical use data of the photovoltaic power generation equipment.
According to an embodiment of the present invention, the weather forecast data is analyzed by presetting a photovoltaic energy storage consumption model, and the determination of the third energy storage device includes:
Analyzing weather forecast data through a preset photovoltaic energy storage consumption model, and determining forecast electricity utilization data of each electric equipment in a second preset time interval by combining historical behavior data of a user;
Accumulating the predicted electricity consumption data of the electric equipment corresponding to the same second energy storage equipment, and determining the minimum energy consumption data of each second energy storage equipment;
And determining the second energy storage device with the minimum energy consumption data larger than the preset threshold value as a third energy storage device.
It should be noted that, the user history behavior data is obtained after the user authorization, where the user history behavior data includes user information data and user preference for using various electric devices, including a relationship between a lighting device starting condition and indoor illumination intensity, a relationship between a device starting condition such as an air conditioner, an air purifier and a fan, and indoor temperature and humidity, and the like, and if the indoor illumination intensity is lower than 100Lux, the lighting device is started. Indoor environment data (illumination intensity, temperature and humidity and the like) are predicted through meteorological prediction data, indoor environment data of each whole time are determined, analysis is conducted through combination of historical behavior data of users, and opening time and closing time of electric equipment in a second preset time interval are predicted. For example, according to the indoor stay time of a user, the on-off condition of the lighting equipment is determined according to the indoor illumination intensity change condition without equipment intervention, and when the user is in the room and the indoor illumination intensity is lower than the system preset illumination intensity, the current time is determined as the lighting equipment on-time; when the user leaves the room and/or the indoor illumination intensity is higher than the system preset illumination intensity, the current time is determined as the lighting device off time. And determining the time difference between the adjacent closing time and opening time as one working time of the electric equipment, accumulating the working time in a second preset time interval, determining the accumulated working time of the electric equipment, and determining the predicted electricity consumption data of the electric equipment by the product of the accumulated working time and the rated electricity consumption power of the electric equipment. The value range of the second preset time interval is set by a person skilled in the art according to actual requirements.
The power supply of the energy storage equipment is limited, so that the situation that one energy storage equipment cannot meet the power demand of a plurality of electric equipment at the same time is avoided, the electric equipment and the second energy storage equipment are bound according to a system preset rule (such as the distribution condition of the electric equipment and the type of the equipment), and the second energy storage equipment only supplies power to the bound electric equipment.
The minimum energy consumption data of the second energy storage device is the minimum power supply data of the second energy storage device to the corresponding bound electric equipment in a second preset time interval, namely the minimum value of the residual energy storage data in the second energy storage device before the second preset time interval starts. When the minimum energy consumption data of the second energy storage equipment is smaller than a preset threshold value, the fact that the electric equipment corresponding to the second energy storage equipment does not work or works in a short time is indicated, namely the required electricity consumption data are small, energy storage allocation is not needed to be conducted on the second energy storage equipment, the remaining energy storage data of the second energy storage equipment meet the electricity consumption requirement of the corresponding electric equipment, or electric energy scheduling can be conducted on the second energy storage equipment through other second energy storage equipment. Otherwise, the second energy storage device is indicated to need energy storage allocation in a first preset time interval, the second energy storage device is determined to be a third energy storage device, and the subsequent energy storage allocation is waited.
The value range of the second preset time interval and the value of the preset threshold are set by a person skilled in the art according to actual requirements.
According to an embodiment of the present invention, calculating required energy storage data of the third energy storage device according to minimum energy consumption data of the third energy storage device includes:
and performing difference value calculation on the minimum energy consumption data and the residual energy storage data of the third energy storage device, adding the calculation result and the corresponding preset energy storage data, and determining the required energy storage data of the third energy storage device.
It should be noted that, the remaining energy storage data of the third energy storage device, that is, the actual energy storage data of the third energy storage device at the current time, and the minimum charging data of the third energy storage device in the first preset time interval may be determined by calculating the difference value between the minimum energy consumption data and the remaining energy storage data of the third energy storage device. In order to avoid errors between predicted electricity consumption data and actual electricity consumption data of electric equipment, final energy storage data of the third energy storage equipment cannot meet corresponding electric equipment, preset energy storage data are added on the basis of a difference value between minimum energy consumption data and residual energy storage data, and needed energy storage data of the third energy storage equipment are finally determined. The preset energy storage data are determined according to the product of the minimum energy consumption data of the third energy storage device and the preset ratio of the system. Meanwhile, energy scheduling can be performed among different second and/or third energy storage devices according to actual use requirements.
Fig. 2 shows a flowchart of a method for calculating a pending energy storage allocation ratio of a third energy storage device according to the present invention.
As shown in fig. 2, according to an embodiment of the present invention, a calculation is performed according to a demand level of all electric devices corresponding to a third energy storage device, and a pending energy storage allocation proportion of the third energy storage device is determined, including:
s202, determining the demand level of electric equipment according to user identity information;
s204, carrying out weighted calculation on the demand levels of all the electric equipment corresponding to the third energy storage equipment, and determining the energy storage score of each third energy storage equipment;
S206, carrying out standardized processing on the energy storage score and the required energy storage data of each third energy storage device, adding the energy storage score and the required energy storage data of the same third energy storage device, and determining the energy storage distribution score of each third energy storage device;
S208, accumulating the energy storage distribution scores of all the third energy storage devices to determine a total energy storage distribution score;
S210, determining the undetermined energy storage distribution proportion of each third energy storage device according to the ratio of the energy storage distribution score to the total energy storage distribution score.
After the user agrees with authorization, the system screens the historical electric equipment use data in the database according to the user identity information (such as name, identity card number, mobile phone number and the like), determines the historical electric equipment use data of the current user in a second preset time interval within at least 7 days, analyzes the historical electric equipment use data to determine the accumulated working time of the electric equipment in the next second preset time interval, and determines the demand level of the electric equipment according to the ratio of the accumulated working time of the electric equipment to the second preset time interval, wherein the demand level of the electric equipment can be divided into five levels, namely, primary demand (0-0.2), secondary demand (0.21-0.4), tertiary demand (0.41-0.6), quaternary demand (0.61-0.8) and five-level demand (0.81-1). The higher the demand level of the electric equipment is, the longer the working time of the electric equipment in the second preset time interval is, and the higher the demand level is.
And in the process of carrying out weighted calculation on the demand levels of all the electric equipment corresponding to the third energy storage equipment, wherein the influence weight of the demand levels of the electric equipment is the rated power of the electric equipment, multiplying the demand levels of all the electric equipment corresponding to the third energy storage equipment by the corresponding influence weights respectively, accumulating calculation results, and determining the energy storage score of the third energy storage equipment.
And collecting energy storage scores and required energy storage data of all the third energy storage devices, respectively establishing an energy storage score data set and a data set of the required energy storage data, respectively carrying out linear transformation on the energy storage scores and the required energy storage data of the third energy storage devices by using a Min-max standardized processing method, and mapping the energy storage scores and the required energy storage data into a [0,1] interval. Taking the energy storage score as an example, the Min-max standardized processing method is expressed as follows:；
Wherein, Q is the normalized energy storage score, P is the original energy storage score, P min is the minimum in the energy storage score dataset, and P max is the maximum in the energy storage score dataset.
Fig. 3 shows a flowchart of a method for calculating an energy storage distribution ratio of the third energy storage device provided by the invention.
As shown in fig. 3, according to an embodiment of the present invention, verification adjustment is performed on a corresponding pending energy storage allocation proportion by using a predicted electricity consumption time of a third energy storage device, and determining the energy storage allocation proportion of the third energy storage device includes:
S302, determining predicted electricity utilization time of the third energy storage device according to historical electricity utilization data of a user and weather prediction data;
s304, cutting a power generation power change curve of the photovoltaic power generation equipment based on the predicted power utilization time of the third energy storage equipment, and determining a first power generation power change curve;
S306, calculating first predicted energy storage data of the third energy storage device through the first power generation change curve;
S308, calculating the ratio of the first predicted energy storage data to the corresponding required energy storage data, and determining a first energy storage ratio;
S310, when the first energy storage ratio is in a preset ratio range, the third energy storage equipment meets the energy storage requirement, and the undetermined energy storage distribution proportion of the third energy storage equipment is determined as an energy storage distribution proportion;
And S312, otherwise, the undetermined energy storage distribution proportion of the third energy storage device is adjusted based on the first energy storage ratio until the first energy storage ratio is in a preset ratio range, and the current undetermined energy storage distribution proportion is determined to be the energy storage distribution proportion.
It should be noted that, analysis is performed through historical electricity consumption data of a user, and working conditions of the electric equipment are determined according to specific numerical values of relevant indoor environment data when the electric equipment starts to work, for example, the working conditions of the lighting device are that indoor illumination intensity is lower than 100Lux, and the working conditions of the air conditioner are that indoor temperature is higher than 28 ℃. By analyzing the weather forecast data and combining the work and rest rules of users, the time when the indoor environment data reach the working condition of each electric equipment is determined, and the working time of the earliest working electric equipment in the electric equipment bound by the third energy storage equipment is determined as the forecast working time of the third energy storage equipment. Cutting a power generation power change curve of the photovoltaic power generation device based on the predicted power utilization time of the third energy storage device, determining the power generation power change curve of the photovoltaic power generation device between the current time and the predicted power utilization time of the third energy storage device as a first power generation power change curve, and determining first predicted energy storage data by calculating the current time, the predicted power utilization time of the third energy storage device, and the area of an area formed between the first power generation power change curve and the coordinate axis.
In addition, the next use time of the electric equipment (such as the use frequency of the washing machine) can be predicted according to the use frequency of the electric equipment by the user, and the predicted electricity utilization time of the corresponding third energy storage equipment can be determined according to the next use time of the electric equipment.
The preset ratio interval is set by a person skilled in the art according to actual requirements, and the minimum value of the preset ratio interval is greater than 1, namely the first predicted energy storage data is greater than the corresponding required energy storage data, so that the third energy storage device meets the energy storage requirements. Meanwhile, the energy storage distribution proportion of the third energy storage equipment is adjusted according to the maximum value of the preset ratio interval, so that the situation that other third energy storage equipment cannot meet energy storage requirements due to the fact that the energy storage distribution proportion of one third energy storage equipment is too high is avoided.
According to an embodiment of the present invention, further comprising:
Determining a remaining energy storage distribution ratio according to the energy storage distribution ratio of each third energy storage device;
Sequentially adjusting the energy storage distribution proportion of each third energy storage device according to the order of the energy storage scores from large to small, and ending the energy storage distribution proportion adjustment when the remaining energy storage distribution proportion does not meet the adjustment condition of the undetermined energy storage distribution proportion of the current third energy storage device; and determining the remaining energy storage distribution proportion as the energy storage distribution proportion of the current third energy storage device.
It should be noted that, the higher the energy storage score is, the higher the demand level of the user for the electric equipment corresponding to the third energy storage device is, the distribution work of the energy storage distribution proportion is preferentially performed on the third energy storage device with the higher energy storage score, and the electric equipment with the higher demand level of the user is preferentially ensured to be capable of operating normally. And (3) adjusting the energy storage distribution proportion of each third energy storage device in turn based on the energy storage score, and determining the remaining energy storage distribution proportion by subtracting the energy storage distribution proportion of all the distributed third energy storage devices from the total energy storage distribution proportion (100%). And carrying out energy storage distribution on the energy storage data generated by the first energy storage device and/or the photovoltaic power generation device according to the energy storage distribution proportion of each third energy storage device.
And when the actual energy storage data of any third energy storage device meets the minimum energy consumption data, stopping the energy storage work of the third energy storage device, and recalculating the energy storage distribution proportion of each third energy storage device according to the actual energy storage data of the rest third energy storage devices. Meanwhile, the energy storage distribution proportion of the third energy storage device can be directly distributed to other third energy storage devices which do not meet the energy storage requirement.
According to an embodiment of the present invention, further comprising:
verifying each third energy storage device based on a preset time interval, and calculating the predicted energy storage completion time of the third energy storage devices according to the actual energy storage data, the minimum energy consumption data, the energy storage distribution proportion and the power generation power change curve of the photovoltaic power generation devices of the third energy storage devices;
marking a third energy storage device with a predicted energy storage completion time greater than the predicted electricity consumption time;
And when the marking times are greater than the preset times, adjusting the energy storage distribution proportion of the third energy storage device.
The method comprises the steps of calculating an energy storage speed change curve of a third energy storage device according to an energy storage distribution ratio and a power generation power change curve of the photovoltaic power generation device, determining remaining energy storage data according to a difference value between minimum energy consumption data and actual energy storage data, determining an area by the remaining energy storage data, calculating an area of an area formed by the current time, the energy storage speed change curve of the third energy storage device, a coordinate axis and the pending predicted energy storage completion time, and determining the pending predicted energy storage completion time as the predicted energy storage completion time when the area of the area is equal to the area of the area corresponding to the remaining energy storage data. Judging whether the third energy storage equipment meets the energy storage requirement or not by comparing the predicted energy storage completion time with the predicted electricity consumption time, marking the third energy storage equipment with the predicted energy storage completion time being longer than the predicted electricity consumption time (namely not meeting the energy storage requirement), and selecting whether to adjust the energy storage distribution proportion of the third energy storage equipment according to the number of marked third energy storage equipment. The preset times are set by a person skilled in the art according to actual requirements.
In addition, in the data analysis process, the third energy storage equipment with the undetermined energy storage distribution proportion is filtered.
Fig. 4 shows a block diagram of a photovoltaic energy storage deployment system provided by the invention.
As shown in fig. 4, a second aspect of the present invention provides a photovoltaic energy storage deployment system, comprising:
the first data acquisition module is used for acquiring historical electricity utilization data and historical meteorological data of a user;
the model building module is used for analyzing according to historical electricity consumption data and historical meteorological data of a user and respectively building a preset illumination intensity change prediction model and a preset photovoltaic energy storage consumption model;
the second data acquisition module is used for acquiring weather forecast data;
The first model analysis module is used for analyzing weather forecast data through a preset illumination intensity change forecast model and determining a power generation power change curve of the photovoltaic power generation equipment and energy storage data of the first energy storage equipment;
The second model analysis module is used for analyzing the weather forecast data through a preset photovoltaic energy storage consumption model, determining a third energy storage device and calculating the required energy storage data of the third energy storage device according to the minimum energy consumption data of the third energy storage device;
the first energy storage distribution module is used for calculating according to the demand levels of all electric equipment corresponding to the third energy storage equipment and determining the undetermined energy storage distribution proportion of the third energy storage equipment;
The second energy storage distribution module is used for verifying and adjusting the corresponding undetermined energy storage distribution proportion through the predicted electricity utilization time of the third energy storage equipment, and determining the energy storage distribution proportion of the third energy storage equipment; and carrying out energy storage distribution on each third energy storage device according to the energy storage distribution proportion of the third energy storage device.
The third aspect of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a photovoltaic energy storage deployment method program, and when the photovoltaic energy storage deployment method program is executed by a processor, the steps of the photovoltaic energy storage deployment method are implemented.
The invention discloses a photovoltaic energy storage allocation method and a system, wherein the method comprises the following steps: acquiring weather forecast data; determining a power generation power change curve of the photovoltaic power generation equipment and energy storage data of the first energy storage equipment through a preset illumination intensity change prediction model; determining a third energy storage device through a preset photovoltaic energy storage consumption model, and calculating required energy storage data of the third energy storage device according to the minimum energy consumption data of the third energy storage device; calculating the undetermined energy storage distribution proportion of the third energy storage equipment according to the demand level of the electric equipment corresponding to the third energy storage equipment; verifying and adjusting the corresponding undetermined energy storage distribution proportion through the predicted electricity utilization time of the third energy storage equipment, and determining the energy storage distribution proportion of the third energy storage equipment; and carrying out energy storage distribution on each third energy storage device according to the energy storage distribution proportion of the third energy storage device. According to the invention, the energy storage distribution proportion of the energy storage equipment is adjusted according to the equipment electricity consumption requirement, intelligent management is carried out on a plurality of energy storage equipment, and the energy storage allocation efficiency is improved.
Information (including but not limited to user equipment information, user personal information, etc.), data (including but not limited to data for analysis, stored data, presented data, etc.), and signals (including but not limited to signals transmitted between a user terminal and other devices, etc.) referred to by the present application are all user-authorized or fully authorized by parties, and the collection, use, and processing of relevant data is required to comply with relevant laws and regulations and standards of relevant countries and regions. For example, reference in this disclosure to "user historical electricity usage data", "user historical behavior data", etc. is all obtained with sufficient authorization.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or optical disk, or the like, which can store program codes.
Or the above-described integrated units of the invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (5)
1. The photovoltaic energy storage allocation method is characterized by comprising the following steps of:
Acquiring historical electricity utilization data and historical meteorological data of a user;
Analyzing according to the historical electricity consumption data and the historical meteorological data of the user, and respectively establishing a preset illumination intensity change prediction model and a preset photovoltaic energy storage consumption model;
Acquiring weather forecast data;
analyzing the weather forecast data through the preset illumination intensity change forecast model to determine a power generation power change curve of the photovoltaic power generation equipment and energy storage data of the first energy storage equipment;
analyzing the weather forecast data through the preset photovoltaic energy storage consumption model, determining a third energy storage device, and calculating the required energy storage data of the third energy storage device according to the minimum energy consumption data of the third energy storage device;
Calculating according to the demand levels of all electric equipment corresponding to the third energy storage equipment, and determining the undetermined energy storage distribution proportion of the third energy storage equipment;
Verifying and adjusting the corresponding undetermined energy storage distribution proportion through the predicted electricity utilization time of the third energy storage equipment, and determining the energy storage distribution proportion of the third energy storage equipment;
performing energy storage distribution on each third energy storage device according to the energy storage distribution proportion of the third energy storage devices;
Analyzing the weather forecast data through the preset illumination intensity change forecast model to determine a power generation power change curve of the photovoltaic power generation equipment and energy storage data of the first energy storage equipment, wherein the method comprises the following steps:
analyzing the weather forecast data through the preset illumination intensity change forecast model, and drawing an illumination intensity change curve of a first preset time interval;
Calculating the illumination intensity change curve based on the photoelectric conversion rate of the photovoltaic power generation equipment, and determining a power generation power change curve of the photovoltaic power generation equipment;
Calculating the generation power change curve of the photovoltaic power generation equipment and the area of the coordinate axis forming area, and determining the energy storage data of the first energy storage equipment;
the analyzing the weather forecast data through the preset photovoltaic energy storage consumption model to determine a third energy storage device comprises the following steps:
Analyzing the weather forecast data through the preset photovoltaic energy storage consumption model, and determining forecast electricity utilization data of each electric equipment in a second preset time interval by combining historical behavior data of a user;
Accumulating the predicted electricity consumption data of the electric equipment corresponding to the same second energy storage equipment, and determining the minimum energy consumption data of each second energy storage equipment;
Determining a second energy storage device with the minimum energy consumption data larger than a preset threshold value as a third energy storage device;
the calculating according to the demand level of all electric equipment corresponding to the third energy storage equipment, determining the undetermined energy storage distribution proportion of the third energy storage equipment comprises the following steps:
determining the demand level of the electric equipment according to the user identity information;
weighting calculation is carried out on demand grades of all electric equipment corresponding to the third energy storage equipment, and energy storage score of each third energy storage equipment is determined;
Carrying out standardized processing on the energy storage score and the required energy storage data of each third energy storage device, adding the energy storage score and the required energy storage data of the same third energy storage device, and determining the energy storage distribution score of each third energy storage device;
accumulating the energy storage distribution scores of all the third energy storage devices to determine a total energy storage distribution score;
Determining the undetermined energy storage distribution proportion of each third energy storage device according to the ratio of the energy storage distribution score to the total energy storage distribution score;
The verifying and adjusting the corresponding undetermined energy storage distribution proportion through the predicted electricity utilization time of the third energy storage device, and determining the energy storage distribution proportion of the third energy storage device comprises the following steps:
Determining a predicted electricity utilization time of the third energy storage device according to the user historical electricity utilization data and the weather prediction data;
cutting a power generation power change curve of the photovoltaic power generation equipment based on the predicted power utilization time of the third energy storage equipment, and determining a first power generation power change curve;
calculating first predicted energy storage data of the third energy storage device through the first power generation change curve;
Calculating the ratio of the first predicted energy storage data to the corresponding required energy storage data, and determining a first energy storage ratio;
when the first energy storage ratio is in a preset ratio range, the third energy storage equipment meets energy storage requirements, and the undetermined energy storage distribution ratio of the third energy storage equipment is determined to be an energy storage distribution ratio;
otherwise, the undetermined energy storage distribution proportion of the third energy storage device is adjusted based on the first energy storage ratio until the first energy storage ratio is in a preset ratio range, and the current undetermined energy storage distribution proportion is determined to be an energy storage distribution proportion;
the first energy storage device is used for temporarily storing the electric energy generated by the photovoltaic power generation device, and the second energy storage device and the third energy storage device are used for storing the electric energy generated by the photovoltaic power generation device and supplying power to electric equipment.
2. The method of claim 1, wherein calculating the required energy storage data of the third energy storage device from the minimum energy consumption data of the third energy storage device comprises:
And performing difference value calculation on the minimum energy consumption data and the residual energy storage data of the third energy storage device, adding the calculation result and the corresponding preset energy storage data, and determining the required energy storage data of the third energy storage device.
3. The photovoltaic energy storage process of claim 1, further comprising:
Determining a remaining energy storage distribution ratio according to the energy storage distribution ratio of each third energy storage device;
Sequentially adjusting the energy storage distribution proportion of each third energy storage device according to the order of the energy storage scores from large to small, and ending the energy storage distribution proportion adjustment when the remaining energy storage distribution proportion does not meet the adjustment condition of the undetermined energy storage distribution proportion of the current third energy storage device; and determining the remaining energy storage distribution proportion as the energy storage distribution proportion of the current third energy storage device.
4. The photovoltaic energy storage process of claim 1, further comprising:
verifying each third energy storage device based on a preset time interval, and calculating the predicted energy storage completion time of the third energy storage devices according to the actual energy storage data, the minimum energy consumption data, the energy storage distribution proportion and the power generation power change curve of the photovoltaic power generation devices of the third energy storage devices;
marking a third energy storage device with a predicted energy storage completion time greater than the predicted electricity consumption time;
And when the marking times are greater than the preset times, adjusting the energy storage distribution proportion of the third energy storage device.
5. A photovoltaic energy storage deployment system for implementing the photovoltaic energy storage deployment method of any of claims 1-4, comprising:
the first data acquisition module is used for acquiring historical electricity utilization data and historical meteorological data of a user;
the model building module is used for analyzing according to the historical electricity consumption data and the historical meteorological data of the user and respectively building a preset illumination intensity change prediction model and a preset photovoltaic energy storage consumption model;
the second data acquisition module is used for acquiring weather forecast data;
The first model analysis module is used for analyzing the weather forecast data through the preset illumination intensity change forecast model and determining a power generation power change curve of the photovoltaic power generation equipment and energy storage data of the first energy storage equipment;
the second model analysis module is used for analyzing the weather forecast data through the preset photovoltaic energy storage consumption model, determining a third energy storage device and calculating the required energy storage data of the third energy storage device according to the minimum energy consumption data of the third energy storage device;
the first energy storage distribution module is used for calculating according to the demand levels of all electric equipment corresponding to the third energy storage equipment and determining the undetermined energy storage distribution proportion of the third energy storage equipment;
The second energy storage distribution module is used for verifying and adjusting the corresponding undetermined energy storage distribution proportion through the predicted electricity utilization time of the third energy storage equipment, and determining the energy storage distribution proportion of the third energy storage equipment; and carrying out energy storage distribution on each third energy storage device according to the energy storage distribution proportion of the third energy storage device.
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| CN117767359A (en) * | 2023-11-13 | 2024-03-26 | 浙江安吉嘉裕大数据技术服务有限公司 | Energy storage scheduling method and device for optical storage station, storage medium and computer equipment |
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| CN117767359A (en) * | 2023-11-13 | 2024-03-26 | 浙江安吉嘉裕大数据技术服务有限公司 | Energy storage scheduling method and device for optical storage station, storage medium and computer equipment |
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