Method and device for operating a multi-energy system based on a distributed energy station

Abstract

The application provides a multi-energy system operation control method and device based on a distributed energy station. The method comprises: determining whether to enable the energy storage side to supply power to the power grid based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side; wherein the energy storage side comprises a distributed energy station in multiple energy storage forms; the power grid is used to supply power to the power consumption side; in response to enabling the energy storage side to supply power to the power grid, determining the weight corresponding to each energy storage characteristic in the energy potential matrix based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side; wherein the energy potential matrix is determined based on the energy storage characteristics of the distributed energy station; calculating the energy potential values of the distributed energy station in multiple energy storage forms based on the weight corresponding to each energy storage characteristic in the energy potential matrix; determining the power supply control strategy of the distributed energy station based on the energy potential values, so as to control the distributed energy station to supply power to the power grid based on the power supply control strategy. The application can improve the accuracy of the multi-energy system operation control of the distributed energy station.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of distributed energy control, and more particularly relates to a multi-energy system operation control method and device based on a distributed energy station. BACKGROUND

[0002] With the acceleration of global energy transformation, distributed energy stations have become a research hotspot in the energy field due to their high efficiency and flexibility. A distributed energy station system integrates multiple energy flows such as electricity, heat, cold and hydrogen, and is equipped with multiple types of energy storage devices such as lithium batteries, super capacitors, heat storage tanks and hydrogen energy storage, forming a complex network of "source-grid-load-storage" collaborative operation. However, due to the differences in characteristics of multiple types of energy storage, the existing energy scheduling effect of the distributed energy station is poor.

[0003] Therefore, an accurate and reliable multi-energy system operation control method based on a distributed energy station is needed. SUMMARY

[0004] The application aims to provide a multi-energy system operation control method and device based on a distributed energy station to improve the accuracy and reliability of the multi-energy system operation control of the distributed energy station.

[0005] The first aspect of the application provides a multi-energy system operation control method based on a distributed energy station, comprising:

[0006] determining whether to enable the energy storage side to supply power to the power grid based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side; wherein the energy storage side includes a distributed energy station in multiple energy storage forms; and the power grid is used to supply power to the power consumption side;

[0007] in response to enabling the energy storage side to supply power to the power grid, determining the weight corresponding to each energy storage characteristic in the energy potential matrix based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side; wherein the energy potential matrix is determined based on the energy storage characteristics of the distributed energy station;

[0008] calculating the energy potential value of the distributed energy station in multiple energy storage forms based on the weight corresponding to each energy storage characteristic in the energy potential matrix;

[0009] determining a power supply control strategy for the distributed energy station based on the energy potential value, and controlling the distributed energy station to supply power to the power grid based on the power supply control strategy.

[0010] The second aspect of the application provides a multi-energy system operation control device based on a distributed energy station, comprising:

[0011] A decision module is configured to determine whether to enable the energy storage side to supply power to the power grid based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side; wherein the energy storage side comprises a plurality of distributed energy stations in different energy storage forms; and the power grid is configured to supply power to the power consumption side;

[0012] A weight determination module is configured to determine the weight corresponding to each energy storage characteristic in the energy potential matrix based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side in response to enabling the energy storage side to supply power to the power grid; wherein the energy potential matrix is determined based on the energy storage characteristics of the distributed energy stations;

[0013] An energy potential calculation module is configured to calculate the energy potential values of the plurality of distributed energy stations in different energy storage forms based on the weights corresponding to each energy storage characteristic in the energy potential matrix;

[0014] A control module is configured to determine a power supply control strategy of the distributed energy stations based on the energy potential values, and to control the distributed energy stations to supply power to the power grid based on the power supply control strategy.

[0015] In a third aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the method for operating a multi-energy system based on a distributed energy station when executing the computer program.

[0016] In a fourth aspect, a computer readable storage medium is provided, which stores a computer program, and the computer program implements the steps of the method for operating a multi-energy system based on a distributed energy station when executed by a processor.

[0017] The method and device for operating a multi-energy system based on a distributed energy station provided by the embodiments of the present application have the following advantages:

[0018] The embodiments of the present application construct an energy potential matrix based on the energy storage characteristics of the distributed energy station, dynamically determine the weights of each energy storage characteristic in the energy potential matrix based on the real-time characteristics of the power generation side and the power consumption side, and then calculate the energy potential values and formulate a power supply control strategy, so that the present application can respond to changes in the power generation side and the power consumption side in a timely manner, ensure that the power supply control strategy is highly matched with the actual demand, and allocate power supply tasks according to the energy potential values of different energy storage forms, fully exert the advantages of each energy storage device, and improve the accuracy and reliability of the operation control of the multi-energy system of the distributed energy station. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.

[0020] Figure 1 The flowchart of the multi-energy system operation control method based on the distributed energy station provided by an embodiment of the present application is shown in the figure.

[0021] Figure 2 The structural diagram of the multi-energy system of the distributed energy station provided by an embodiment of the present application is shown in the figure.

[0022] Figure 3 The structural block diagram of the multi-energy system operation control device based on the distributed energy station provided by an embodiment of the present application is shown in the figure.

[0023] Figure 4 The schematic block diagram of the electronic device provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0024] In the following description, specific details are set forth in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application can be practiced without these specific details. In other instances, well-known systems, devices, circuits, and methods have not been described in detail in order to avoid obscuring the present application.

[0025] In order to make the purpose, technical solutions and advantages of the present application clearer, the following will be described by specific embodiments in conjunction with the drawings.

[0026] Please refer to Figure 1 , Figure 1 The flowchart of the multi-energy system operation control method based on the distributed energy station provided by an embodiment of the present application is shown in the figure, which is executed by an electronic device and includes S101-S104.

[0027] S101: determining whether to enable the energy storage side to supply power to the power grid based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side; wherein the energy storage side includes a distributed energy station of multiple energy storage forms; the power grid is used to supply power to the power consumption side.

[0028] In the embodiment, the power generation side corresponds to the source in the source network load storage, and is configured to convert various primary energy (for example, coal, natural gas, wind energy and solar energy) into electric energy or other forms of available energy. The power consumption side corresponds to the load in the source network load storage, and refers to the terminal link of energy consumption, that is, the power demand set of various users. The core feature is "energy consumption", and the electric energy is obtained through the power grid to meet the production and life demand. The energy storage side corresponds to the storage in the source network load storage, and refers to the link of storing excess energy through various energy storage technologies, such as battery energy storage, hydrogen energy storage and heat energy storage, and releasing the energy when needed. Different energy storage power stations can have different energy storage forms, such as the aforementioned battery energy storage, hydrogen energy storage and heat energy storage. Different types of energy storage forms have different energy storage characteristics.

[0029] Please refer to Figure 2 , Figure 2 The structure diagram of the multi-energy system of the distributed energy station provided in the embodiment is shown in FIG. 1. The multi-energy system of the distributed energy station can include multiple and various forms of energy storage power stations, such as multiple electric energy storage form power stations, multiple heat energy storage form power stations, multiple hydrogen energy storage form power stations and other energy storage form power stations. In addition, as shown in FIG. 1, the multi-energy system of the distributed energy station also includes a power generation side. The power generation side can include multiple and various forms of power supply systems (not shown in the figure), that is, the power generation system composed of the power generation side devices in the embodiment. The power generation type of the power generation side can be wind power supply, solar power supply, fossil energy supply and the like. Figure 2

[0030] In the embodiment, the power generation characteristics of the power generation side can include at least one of the current power generation amount of the power generation side, the power generation amount of the power generation side after a period of time, the current fluctuation of the power generation side, the fluctuation of the power generation side after a period of time and the like. The power generation amount or fluctuation of the power generation side after a period of time can be obtained based on historical data prediction, which will not be described in the embodiment.

[0031] In the embodiment, the power consumption characteristics of the power consumption side can include at least one of the current power consumption amount of the power consumption side, the power consumption amount of the power consumption side after a period of time or the information of which stage of peak-to-valley the power consumption side is in. The power consumption characteristics of the power consumption side can be obtained based on long-term information collection or based on experience determination or based on historical data prediction.

[0032] In the embodiment, whether to enable the energy storage side to supply power to the power grid can be determined based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side. For example, whether to enable the energy storage side can be determined in the following manner: determining whether to enable the energy storage side to supply power to the power grid based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side, including:

[0033] ​In response to the difference between the power generation amount of the power generation side within the preset time length and the power consumption amount of the power consumption side within the preset time length being greater than a preset power threshold, it is determined to enable the energy storage side to supply power to the power grid; in response to the difference between the power generation amount of the power generation side within the preset time length and the power consumption amount of the power consumption side within the preset time length being less than or equal to the preset power threshold, it is determined not to enable the energy storage side to supply power to the power grid.

[0034] In this embodiment, when the difference between the power generation amount of the power generation side within the preset time length and the power consumption amount of the power consumption side within the preset time length is greater than the preset power threshold, it indicates that after a period of time, that is, after the preset time length, the power generation amount cannot meet the power consumption demand, at which time the energy storage power station of the energy storage side needs to supply power to the power grid, and then the power grid supplies power to the power consumption side. The preset time length and the preset power threshold can be set by a person skilled in the art according to the scene.

[0035] S102: In response to enabling the energy storage side to supply power to the power grid, determining the weight corresponding to each energy storage characteristic in the energy potential matrix based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side; wherein the energy potential matrix is determined based on the energy storage characteristics of the distributed energy station.

[0036] In this embodiment, the energy potential matrix is an evaluation model constructed based on the energy storage characteristics of the distributed energy station, which is used to quantify the "energy potential" of different energy storage forms. The dimensions of the matrix can include energy storage forms (such as electrical energy storage, thermal energy storage, hydrogen energy storage) and energy storage characteristics (such as response speed, energy conversion rate, conversion efficiency, etc.), and the data in the matrix is obtained from historical operation data.

[0037] Specifically, constructing the energy potential matrix further includes: determining first dimension information of the energy potential matrix based on the energy storage forms of the distributed energy station; determining second dimension information of the energy potential matrix based on the energy storage characteristics of the distributed energy station; constructing the energy potential matrix based on the first dimension information and the second dimension information; and the data in the energy potential matrix is determined based on the historical data of the distributed energy station of each energy storage form.

[0038] In this embodiment, since the physical and chemical properties of the energy storage raw materials are different, the energy storage characteristics of the energy storage power stations of different energy storage forms are different, so the energy potential matrix is constructed. The two dimensions of the matrix are the energy storage forms of the distributed energy station and the energy storage characteristics of the distributed energy station, respectively. The energy potential matrix can be as shown in Table 1, Table 1 is only a part of the schematic diagram, which is stored in the device and should be in the form of a matrix. The data in the energy potential matrix can be determined by a person skilled in the art based on experience or historical data.

[0039]

[0040] In the embodiment, different types of energy storage power stations have different energy storage characteristics, so in different scene requirements, the adaptation degree of different energy storage power stations should also be different, therefore the application determines the weight corresponding to each energy storage characteristic based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side, and the higher the weight, the more important the energy storage characteristic is in the current scene.

[0041] S103: Calculate the energy potential value of the distributed energy station of the plurality of energy storage forms based on the weight corresponding to each energy storage characteristic in the energy potential matrix.

[0042] In the embodiment, the energy storage characteristics include but are not limited to the energy conversion rate, response speed and conversion efficiency mentioned above, and can also be life attenuation, etc., which are not limited in the embodiment. The energy potential value is a quantitative index calculated by comprehensively considering each energy storage characteristic and its weight in the energy potential matrix, reflecting the "energy potential" of the energy storage system in the current scene, and the higher the energy potential value, the higher the power supply priority and the greater the power supply, so it can be used as a decision basis for power supply control strategy.

[0043] In the embodiment, before the weighted calculation, the values in the matrix should also be normalized, if the data in the matrix is an interval, the midpoint of the interval can be taken as the processing value to ensure that the calculation dimensions of each energy storage characteristic are the same.

[0044] S104: Determine the power supply control strategy of the distributed energy station based on the energy potential value, and control the distributed energy station to supply power to the power grid based on the power supply control strategy.

[0045] In the embodiment, as known from the foregoing, the energy potential value can be used to reflect the level of energy potential in the current scene, that is, the adaptation degree in the current scene, so the energy storage type of the energy storage power station with higher energy potential value should have higher priority in the current scene and should output more power. Therefore, the proportion of the energy storage power station of each type in the distributed energy station can be determined based on the proportion of the energy potential value, and the power supply proportion is used as the power supply control strategy to control the distributed energy station to supply power to the power grid.

[0046] In the embodiment, the determined power supply control strategy essentially allocates different tasks to different types of energy storage power stations, and the same type of energy storage power station can be allocated based on the current power of each energy storage power station to complete the task, for example, arranging each energy storage power station in descending order of current power, selecting the energy storage power station in this order, until the power supply demand can be met, or other dimensional information can be considered to set the arrangement order.

[0047] From the above, the application can construct an energy potential matrix through the energy storage characteristics of the distributed energy station, dynamically determine the weight of each energy storage characteristic in the energy potential matrix through the real-time characteristics of the power generation side and the power consumption side, and then calculate the energy potential value and formulate a power supply control strategy, so that the application can respond to changes in the power generation side and the power consumption side in a timely manner, ensure that the power supply control strategy is highly matched with the actual demand, and the application can allocate power supply tasks according to the energy potential values of different energy storage forms, fully exert the advantages of each energy storage device, and improve the accuracy and reliability of the multi-energy system operation control of the distributed energy station.

[0048] In an embodiment of the application, the energy storage characteristics of the distributed energy station include response speed and energy conversion rate; the power generation characteristics of the power generation side include the power generation amount of the power generation side within a plurality of time lengths; and the power consumption characteristics of the power consumption side include the power consumption amount of the power consumption side within a plurality of time lengths.

[0049] Determining the weight corresponding to each energy storage characteristic in the energy potential matrix based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side includes:

[0050] Determining a first ratio based on the power generation amount of the power generation side within a first time length and the power consumption amount of the power consumption side within the first time length; wherein the first time length is less than a preset time length.

[0051] In response to the first ratio being less than a preset ratio, or the power consumption side being in a power consumption peak period or a power consumption peak period within the first time length, increasing the weight corresponding to the response speed and decreasing the weight corresponding to the energy conversion rate; the power consumption peak period is a period in which the power consumption amount of the power consumption side exceeds a first power consumption amount per unit time, and the power consumption peak period is a period in which the power consumption amount of the power consumption side exceeds a second power consumption amount per unit time, the first power consumption amount being greater than the second power consumption amount. The first power consumption amount and the second power consumption amount can be set based on conventional selection in the art.

[0052] In this embodiment, the response speed refers to the time interval from receiving the charging and discharging instruction to actually starting charging and discharging of the energy storage device, reflecting the rapid reaction ability of the energy storage device to power demand changes. The energy conversion rate represents the ratio of output energy to input energy in the charging and discharging process of the energy storage device, reflecting the efficiency of the energy storage device in the energy conversion process. The power generation amount of the power generation side within a plurality of time lengths and the power consumption amount of the power consumption side within a plurality of time lengths can be predicted based on historical data.

[0053] In the embodiment, the first ratio can be a ratio of the power generation amount of the power generation side in the first time length to the power consumption amount of the power consumption side in the first time length, that is, the numerator of the first ratio is the power generation amount of the power generation side in the first time length, and the denominator is the power consumption amount of the power consumption side in the first time length. The first ratio can directly reflect the balance relationship between power generation and power consumption in the time period. When the first ratio is less than the preset ratio, it indicates that the power generation amount of the power generation side in the first time length cannot meet the power consumption amount in the first time length, and the energy storage power station needs to supply power at this time. The first time length is less than the preset time length, which means a relatively short time range, that is, the current supply-demand imbalance situation is relatively urgent. Therefore, before calculating the energy potential value, the weights of the energy storage characteristics should be adjusted to obtain the most suitable weight distribution for the current scenario. In addition, when the power consumption side is in the power consumption peak period or the power consumption peak period in the first time length, the above-mentioned supply-demand imbalance situation is also relatively urgent, and the energy storage side should also supply energy at this time.

[0054] In the embodiment, when the supply-demand imbalance situation is relatively urgent, the weight corresponding to the response speed should be increased, and the weight of the dimension of the energy conversion rate can be reduced at this time. In order to solve the current supply-demand imbalance more quickly, the requirement for the energy conversion rate can be appropriately reduced.

[0055] From the above, it can be concluded that the first ratio of the power generation amount of the power generation side in the first time length to the power consumption amount of the power consumption side in the first time length is calculated, and the relationship with the preset ratio is judged, and the power consumption side is combined with whether it is in the power consumption peak or peak period, which can identify the scene of supply-demand imbalance and relatively urgent situation. When the first ratio is less than the preset ratio, or the power consumption side is in the power consumption peak or peak period, the weight corresponding to the response speed is increased in time, and the weight corresponding to the energy conversion rate is reduced, so that the energy storage equipment can quickly respond to the urgent power supply demand, and the timeliness of power supply is preferentially guaranteed. The problem of power shortage caused by supply-demand imbalance can be alleviated, the ability of the distributed energy station to respond to emergencies is improved, and the accuracy and reliability of the multi-energy system operation control of the distributed energy station are also improved.

[0056] In an embodiment of the present application, the energy storage characteristics of the distributed energy station include: response speed and energy conversion rate; the power generation characteristics of the power generation side include the power generation amount of the power generation side in a plurality of time lengths; the power consumption characteristics of the power consumption side include the power consumption amount of the power consumption side in a plurality of time lengths;

[0057] The weights corresponding to the energy storage characteristics in the energy potential matrix are determined based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side, including:

[0058] A second ratio is determined in response to the power generation amount of the power generation side in a second time length and the power consumption amount of the power consumption side in the second time length; wherein the second time length is greater than the preset time length;

[0059] In response to the second ratio being in the preset ratio interval and the electricity consumption feature of the electricity consumption side being that the electricity consumption side is in the electricity flat period or the electricity valley period in the second time length, the weight corresponding to the energy conversion rate is increased, and the weight corresponding to the response speed is reduced; wherein the electricity flat period is a period in which the electricity consumption of the electricity consumption side is lower than a third electricity consumption but not lower than a fourth electricity consumption in a unit time, and the electricity valley period is a period in which the electricity consumption of the electricity consumption side is lower than the fourth electricity consumption in a unit time, and the third electricity consumption is greater than the fourth electricity consumption. The third electricity consumption and the fourth electricity consumption can be set based on conventional selection in the art.

[0060] In the embodiment, the second ratio can be a ratio of the power generation of the power generation side in the second time length to the electricity consumption of the electricity consumption side in the second time length, that is, the numerator of the second ratio is the power generation of the power generation side in the second time length, and the denominator is the electricity consumption of the electricity consumption side in the second time length. When the second ratio is in the preset ratio interval, it indicates that the power generation in the second time length cannot meet the electricity consumption in the second time length, but there is no serious power supply shortage. If it is in the electricity flat period or the electricity valley period in the second time length, that is, the power supply and demand is relatively loose at this time, the demand for fast response of power change of the energy storage is reduced. In order to more efficiently utilize the energy storage device and reduce the loss in the energy conversion process, the weight corresponding to the energy conversion rate is increased, and the weight corresponding to the response speed is reduced, thereby reducing the waste of energy.

[0061] In the embodiment, the increase value of the weight corresponding to the energy conversion rate and the decrease value of the weight corresponding to the response speed should be the same, or when there are other energy storage features in the energy potential matrix, the weight corresponding to other energy storage features except the energy conversion rate can be reduced, and the decrease value of the weight corresponding to all energy storage features is equal to the increase value of the weight corresponding to the energy conversion rate, so as to ensure that the sum of the weights is 1. The specific increase value and decrease value can be set based on the scene or preference.

[0062] From the above, it can be concluded that the application calculates the second ratio of the power generation of the power generation side in the second time length to the electricity consumption of the electricity consumption side in the second time length, and judges the scene of relatively loose power supply and demand in combination with whether the electricity consumption side is in the electricity flat period or the valley period. When in this case, the weight corresponding to the energy conversion rate is increased, and the weight corresponding to the response speed is reduced. The increase of the energy conversion rate means that the energy storage device can more efficiently convert the input energy into output energy in the charging and discharging process, and reduce the loss of energy in the conversion process. Through the above adjustment, the energy storage device can run in a more efficient way when the power supply and demand is loose, realize the efficient utilization of energy, reduce the energy loss of the distributed energy station, improve the economy and sustainability of energy utilization, and improve the accuracy and reliability of the multi-energy system operation control of the distributed energy station.

[0063] In an embodiment of the present application, the weight corresponding to the response speed is increased, and the weight corresponding to the energy conversion rate is decreased, including:

[0064] The power consumption compensation value is determined based on the power generation amount of the power generation side in the first time length and the power consumption amount of the power consumption side in the first time length;

[0065] In response to the power consumption compensation value being less than or equal to a preset compensation threshold, the weight corresponding to the response speed is increased by a preset step, and the weight corresponding to the energy conversion rate is decreased by a preset step;

[0066] In response to the power consumption compensation value being greater than the preset compensation threshold, a first response step is determined based on the power consumption compensation value, the power consumption compensation value is positively correlated with the first response step, the weight corresponding to the response speed is increased by the first response step, and the weight corresponding to the energy conversion rate is decreased by the first response step.

[0067] In the embodiment, the power consumption compensation value can be a value obtained by subtracting the power generation amount of the power generation side in the first time length from the power consumption amount of the power consumption side in the first time length, and the power consumption compensation value refers to the size of the power supply gap that needs to be supplemented by the energy storage side. The preset compensation threshold is a pre-set critical value of the power consumption compensation value, which is used to judge the emergency degree of the power supply gap. When the power consumption compensation value is less than or equal to the preset compensation threshold, it means that the power supply gap is small, and the adjustment step is fixed; when the compensation value is greater than the threshold, it means that the gap is large, and the adjustment step needs to be dynamically increased.

[0068] In the embodiment, when the power consumption compensation value is greater than the preset compensation threshold, the first response step can be determined by the first formula and the power consumption compensation value, and the first formula can be:

[0069]

[0070] wherein, represents the first response step, represents a global proportion coefficient, which is used to control the scaling multiple of the basic step and determines the overall adjustment amplitude, represents the power consumption compensation value, represents the preset compensation threshold, represents a reference compensation value, which is used for normalization, represents a nonlinear index, which controls the growth rate relationship between the gap and the step, When the nonlinear index is greater than 1, the larger the gap, the faster the growth rate of the step. is a load rate correction coefficient, which is used to control the influence amplitude of the load rate on the step, represents a load rate function, which represents a function for quantifying the correction of the first response step, is a real-time load rate, which is the ratio of the actual load to the rated load, ​, The calculation of the above formula is a dimensionless form calculation, which can be determined based on multiple experiments.

[0071] In the first formula, is a basic term, represents the part of the actual gap exceeding the threshold value, is used for normalization, is used for nonlinear amplification, and finally multiplied by controls the overall amplitude, and the larger the gap, the faster the step size increases. is a correction term, using the real-time load rate corrects the basic step size, reflecting that the more tense the power consumption is, the faster the response is needed, It can be a simple piecewise function or a linear function, and the slope and intercept of the linear function can be set based on the actual scene. The sign of the slope is consistent with the sign of the real-time load rate, ensuring that the larger the real-time load rate, the larger the first response step size. In the present embodiment, the first response step size after calculation should be normalized before adjusting the weight. After determining the first response step size, the weight corresponding to the response speed can be increased and the weight corresponding to the energy conversion rate can be reduced in accordance with the first response step size, ensuring that the sum of the weights is 1.

[0072] From the above, it can be seen that the present application quantifies the size of the power supply gap by calculating the electricity consumption compensation value. When the electricity consumption compensation value is less than or equal to the preset compensation threshold, it indicates that the power supply gap is small, and at this time the weights corresponding to the response speed and energy conversion rate are adjusted by the preset step size. The fixed step size adjustment method is simple and easy to control, and can meet the demand for fast response under a small gap. When the electricity consumption compensation value is greater than the preset compensation threshold, it indicates that the power supply gap is large and the situation is urgent, and at this time the first response step size is dynamically determined based on the electricity consumption compensation value, and the electricity consumption compensation value and the first response step size are positively correlated. The above dynamic adjustment step size method can accurately adjust the weight according to the gap size, ensuring that the larger the gap, the larger the increase in the response speed weight and the decrease in the energy conversion rate weight, so as to more quickly meet the urgent power supply demand and improve the ability of the distributed energy station to respond to power supply gaps of different emergency levels.

[0073] In an embodiment of the present application, the determination process of the first time length includes:

[0074] determining the maximum deviation degree of the electricity consumption of the electricity consumption side in the preset time length based on the predicted electricity consumption of the electricity consumption side in the preset time length and the average electricity consumption in the preset time length;

[0075] determining the first time length based on the maximum deviation degree; wherein the first time length is negatively correlated with the maximum deviation degree.

[0076] In the embodiment, the first time length is used to calculate the time window of the real-time supply-demand relationship between the power generation side and the power consumption side, and the length thereof is dynamically determined according to the fluctuation characteristics of the power consumption side. The first time length serves as a time reference for dynamically adjusting the weight of the energy storage, and ensures that the system can quickly respond when the power consumption fluctuates dramatically. The average power consumption can be understood as the standard power consumption, which is a value determined based on long-term experience. When the deviation between the predicted power consumption in the preset time length and the average power consumption in the preset time length is large, it indicates that the power consumption fluctuates dramatically, and thus a faster response speed and a shorter time window are required, and the energy storage strategy needs to be adjusted more frequently. Therefore, the first time length is negatively correlated with the maximum deviation. The maximum deviation can be calculated by taking the difference between the predicted power consumption of the power consumption side at each time point in the preset time length and the average power consumption at the corresponding time point in the preset time length as the numerator, and taking the average power consumption at the corresponding time point as the denominator, and then taking the maximum value in the obtained scores as the maximum deviation.

[0077] In the embodiment, the first time length can be determined by a simple linear mapping method, for example wherein, represents the first time length, represents the maximum value of the first time length, represents the maximum deviation, which can be expressed in scores or percentages, is an adjustment coefficient for controlling the influence range of the deviation on the time length, and can be determined based on multiple experiments. The calculation of the above formula is a dimensionless form.

[0078] As can be seen from the above, the application can accurately adapt to the fluctuation characteristics of the power consumption side by calculating the maximum deviation between the predicted power consumption and the average power consumption of the power consumption side in the preset time length, and dynamically determining the first time length based on the maximum deviation. When the maximum deviation is large, it indicates that the power consumption fluctuates dramatically, and a shorter first time length is determined at this time, so that the system can more frequently adjust the weight of the energy storage based on the real-time supply-demand relationship between the power generation side and the power consumption side in the shorter time window, thereby quickly responding to the power consumption fluctuation and ensuring the stability of power supply. Conversely, when the maximum deviation is small, the power consumption fluctuates relatively stably, and a longer first time length is determined, thereby reducing the frequency of adjusting the weight of the energy storage and reducing the operating cost of the system. The above method of dynamically determining the first time length enables the distributed energy station to better adapt to various complex power consumption fluctuation scenarios, and improves the adaptability and reliability of the system.

[0079] In an embodiment of the application, the power supply control strategy of the distributed energy station is determined based on the energy potential value, which includes:

[0080] The power supply amount of each type of energy station in the distributed energy station is determined based on the energy potential value. The energy potential value is positively correlated with the power supply amount.

[0081] In the present embodiment, the energy potential value is a quantitative index calculated by the energy potential matrix and weight based on the characteristics of various types of energy storage devices in the distributed energy station, such as response speed, energy density, energy conversion rate, etc., combined with the generation side and power consumption side, such as power generation, power consumption, power consumption period characteristics, etc. It reflects the comprehensive ability and value of the type of energy storage device participating in power supply in the current scenario, that is, the energy potential value comprehensively considers the ability of the energy storage device to adapt to the current power generation and power consumption situation. Based on this, when formulating the power supply control strategy, the principle of higher energy potential value is followed to prioritize power supply and the more power supply, and the energy potential value is used as the basis for allocating power supply tasks (priority and power supply amount), so as to realize the reasonable dispatching of the distributed energy station power supply, make the energy storage device more suitable for the current scenario fully play its role, and ensure stable and efficient power supply.

[0082] For example, lithium battery energy storage (A type) and hydrogen energy storage (B type), at a certain period, the power generation side is a photovoltaic power station, the power generation fluctuates due to weather, the power consumption side is in a power consumption peak and requires a high response speed for power supply, the energy potential value of lithium battery energy storage (A type) is 80, and its fast response speed feature has a high weight in the current power consumption peak scenario, so the energy potential value is high. The energy potential value of hydrogen energy storage (B type) is 50, and its response speed is relatively slow, so the energy potential value is low. At this time, the power grid needs to supplement the total power supply of 1000 kWh from the distributed energy station, and according to the positive correlation of the energy potential value, first, simply allocate according to the proportion of the energy potential value, the proportion of lithium battery energy storage (A type) is about 61.5%, and the proportion of hydrogen energy storage (B type) is about 38.5%, so the power supply of lithium battery energy storage (A type) is about 615 kWh, and the power supply of hydrogen energy storage (B type) is about 385 kWh. Let the lithium battery with fast response speed prioritize and supply more power at the power consumption peak to meet the demand of the power consumption side for power supply timeliness, and fully utilize the characteristics of different types of energy storage.

[0083] From the above, it can be concluded that the present application calculates the energy potential value as a quantitative index by comprehensively considering the characteristics of various energy storage devices in the distributed energy station and the power generation side and the power consumption side. The energy potential value comprehensively reflects the comprehensive ability and value of the energy storage device in the current scenario to participate in power supply. Based on the energy potential value, the power supply capacity of each type of energy station is determined, which follows the principle that the higher the energy potential value, the more priority is given to power supply and the more power supply capacity is provided. The rational scheduling of distributed energy station power supply is realized, the blindness and irrationality that may occur in traditional power supply control is avoided, and the power supply task can be accurately allocated according to the actual capacity of different energy storage devices and the current power demand, thereby improving the rationality of power supply. In the present embodiment, power supply control is performed according to the energy potential value, so that the energy storage device with a high energy potential value (i.e., more suitable for the current scenario) is given priority to power supply and has more power supply capacity. The characteristics of different energy storage types can be fully utilized to ensure that power supply can be provided in a timely and stable manner in various power consumption scenarios, thereby avoiding the problems of power supply shortage or excess caused by improper selection of energy storage devices or unreasonable allocation of power supply capacity, improving the stability and efficiency of power supply, and ensuring the reliable operation of the distributed energy station.

[0084] The method for operating a multi-energy system based on a distributed energy station according to the embodiments described above, Figure 3 The structure block diagram of the multi-energy system operation control device based on a distributed energy station provided by an embodiment of the present application is shown. For ease of illustration, only the parts related to the embodiments of the present application are shown. For reference Figure 3 The multi-energy system operation control device based on a distributed energy station 20 includes a decision module 21, a weight determination module 22, an energy potential calculation module 23, and a control module 24.

[0085] The decision module 21 is configured to determine whether to enable the energy storage side to supply power to the power grid based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side. The energy storage side includes a distributed energy station with multiple energy storage forms. The power grid is configured to supply power to the power consumption side.

[0086] The weight determination module 22 is configured to determine the weight corresponding to each energy storage characteristic in the energy potential matrix based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side in response to enabling the energy storage side to supply power to the power grid. The energy potential matrix is determined based on the energy storage characteristics of the distributed energy station.

[0087] The energy potential calculation module 23 is configured to calculate the energy potential value of the distributed energy station with multiple energy storage forms based on the weight corresponding to each energy storage characteristic in the energy potential matrix.

[0088] The control module 24 is configured to determine a power supply control strategy of the distributed energy station based on the energy potential value, and to control the distributed energy station to supply power to the power grid based on the power supply control strategy.

[0089] In an embodiment of the present application, the distributed energy station based multi-energy system operation control device 20 further comprises a matrix construction module configured to determine first dimension information of the energy potential matrix based on energy storage forms of the distributed energy station;

[0090] determine second dimension information of the energy potential matrix based on energy storage characteristics of the distributed energy station;

[0091] construct the energy potential matrix based on the first dimension information and the second dimension information; data in the energy potential matrix is determined based on historical data of the distributed energy station in each energy storage form.

[0092] In an embodiment of the present application, the energy storage characteristics of the distributed energy station include response speed and energy conversion rate; the power generation characteristics of the power generation side include power generation amount of the power generation side in multiple time lengths; and the power consumption characteristics of the power consumption side include power consumption amount of the power consumption side in multiple time lengths.

[0093] The weight determination module 22 is specifically configured to determine a first ratio based on the power generation amount of the power generation side in a first time length and the power consumption amount of the power consumption side in the first time length; wherein the first time length is less than a preset time length.

[0094] In response to the first ratio being less than a preset ratio, or the power consumption side being in a power consumption peak period or a power consumption peak period in the first time length, the weight corresponding to the response speed is increased, and the weight corresponding to the energy conversion rate is decreased; the power consumption peak period is a period in which the power consumption amount of the power consumption side exceeds a first power consumption amount in a unit of time, and the power consumption peak period is a period in which the power consumption amount of the power consumption side exceeds a second power consumption amount but does not exceed the first power consumption amount in a unit of time, and the first power consumption amount is greater than the second power consumption amount.

[0095] In an embodiment of the present application, the energy storage characteristics of the distributed energy station include response speed and energy conversion rate; the power generation characteristics of the power generation side include power generation amount of the power generation side in multiple time lengths; and the power consumption characteristics of the power consumption side include power consumption amount of the power consumption side in multiple time lengths.

[0096] The weight determination module 22 is specifically configured to determine a second ratio based on the power generation amount of the power generation side in a second time length and the power consumption amount of the power consumption side in the second time length; wherein the second time length is greater than a preset time length.

[0097] In response to the second ratio being in a preset ratio interval, and the power consumption characteristics of the power consumption side being in a power consumption flat period or a power consumption valley period in the second time length, the weight corresponding to the energy conversion rate is increased, and the weight corresponding to the response speed is decreased; wherein the power consumption flat period is a period in which the power consumption amount of the power consumption side is less than a third power consumption amount but not less than a fourth power consumption amount in a unit of time, and the power consumption valley period is a period in which the power consumption amount of the power consumption side is less than the fourth power consumption amount in a unit of time, and the third power consumption amount is greater than the fourth power consumption amount.

[0098] In one embodiment of this application, the weight determination module 22 is further used to determine the electricity compensation value based on the power generation on the power generation side in the first time period and the electricity consumption on the power consumption side in the first time period.

[0099] In response to a power compensation value being less than or equal to a preset compensation threshold, the weight corresponding to the response speed is increased by a preset step size, and the weight corresponding to the energy conversion rate is decreased by a preset step size.

[0100] In response to a power consumption compensation value exceeding a preset compensation threshold, a first response step size is determined based on the power consumption compensation value. The power consumption compensation value and the first response step size are positively correlated. The weight corresponding to the response speed is increased by the first response step size, and the weight corresponding to the energy conversion rate is decreased by the first response step size.

[0101] In one embodiment of this application, the multi-energy system operation control device 20 based on distributed energy stations further includes: a duration determination module, used to determine the maximum deviation of the electricity consumption of the electricity user within a preset duration based on the predicted electricity consumption of the electricity user within a preset duration and the average electricity consumption within a preset duration;

[0102] The first duration is determined based on the maximum deviation; wherein, the first duration is negatively correlated with the maximum deviation.

[0103] In one embodiment of this application, the control module 24 is specifically used to determine the power supply of each type of energy station in the distributed energy station based on the energy potential value; the energy potential value is positively correlated with the power supply.

[0104] See Figure 4 , Figure 4 This is a schematic block diagram of an electronic device provided according to an embodiment of this application. Figure 4 The electronic device 300 in this embodiment may include one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memories 304 store computer programs, including program instructions. The processors 301 execute the program instructions stored in the memories 304. Specifically, the processors 301 are configured to invoke the program instructions to perform the functions of the modules in the aforementioned device embodiments, for example... Figure 3 The functions of the decision-making module 21, weight determination module 22, energy potential calculation module 23, and control module 24 are shown.

[0105] It should be appreciated that in the embodiments of the present application, the processor 301 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic components, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0106] The input device 302 can include a touchpad, a fingerprint collection sensor (for collecting fingerprint information and direction information of a fingerprint of a user), a microphone, etc., and the output device 303 can include a display (LCD, etc.), a speaker, etc.

[0107] The memory 304 can include a read-only memory and a random access memory, and provide instructions and data for the processor 301. A part of the memory 304 can also include a non-volatile random access memory. For example, the memory 304 can also store a potential matrix.

[0108] In specific implementations, the processor 301, the input device 302 and the output device 303 described in the embodiments of the present application can execute the implementation manners described in the embodiments of the method for operating and controlling a multi-energy system based on a distributed energy station provided by the embodiments of the present application, and can also execute the implementation manners of the electronic device described in the embodiments of the present application, which will not be described herein again.

[0109] In another embodiment of the present application, a computer readable storage medium is provided, which stores a computer program. The computer program includes program instructions, which, when executed by a processor, implement all or part of the processes of the above-mentioned embodiment methods. The computer program can also instruct related hardware to complete the implementation. The computer program can be stored in a computer readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate form. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0110] The computer readable storage medium can be an internal storage unit of the electronic device of any of the preceding embodiments, such as a hard disk or a memory of the electronic device. The computer readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the computer readable storage medium can include both the internal storage unit and the external storage device of the electronic device. The computer readable storage medium is used to store the computer program and other programs and data required by the electronic device. The computer readable storage medium can also be used to temporarily store data that has been output or will be output.

[0111] Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been described in general terms in the above description. Whether the functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0112] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic device and the units described above can refer to the corresponding processes in the above-mentioned method embodiments, which will not be described here.

[0113] In several embodiments provided in the present application, it should be understood that the disclosed electronic device and method can be implemented in other manners. For example, the embodiments of the apparatus described above are merely schematic; the division of the units is merely logical function division; an actual implementation can be divided into different units depending on actual conditions; or a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, or can be in electrical, mechanical or other forms.

[0114] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments of the present application.

[0115] In addition, each functional unit in the embodiments of the present application can be integrated in one processing unit, or each unit can exist physically as a separate unit, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware, or in the form of a software functional unit.

[0116] The above is merely specific embodiments of the present application, but the protection scope of the present application is not limited thereto; any skilled person in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for operating and controlling a multi-energy system based on a distributed energy station, characterized by, The method comprises: determining whether to enable the energy storage side to supply power to the power grid based on power generation characteristics of the power generation side and power consumption characteristics of the power consumption side; wherein the energy storage side comprises a plurality of distributed energy stations in different energy storage forms; and the power grid is used to supply power to the power consumption side; in response to enabling the energy storage side to supply power to the power grid, determining the weight corresponding to each energy storage characteristic in the energy potential matrix based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side; wherein the energy potential matrix is determined based on the energy storage characteristics of the distributed energy stations; calculating the energy potential values of the plurality of distributed energy stations in different energy storage forms based on the weights corresponding to each energy storage characteristic in the energy potential matrix; determining a power supply control strategy of the distributed energy stations based on the energy potential values, so as to control the distributed energy stations to supply power to the power grid based on the power supply control strategy; constructing the energy potential matrix further comprises: determining the first dimension information of the energy potential matrix based on the energy storage forms of the distributed energy stations; determining the second dimension information of the energy potential matrix based on the energy storage characteristics of the distributed energy stations; constructing the energy potential matrix based on the first dimension information and the second dimension information; the data in the energy potential matrix is determined based on the historical data of the distributed energy stations in different energy storage forms; the energy storage characteristics of the distributed energy stations include response speed and energy conversion rate; the power generation characteristics of the power generation side include the power generation amount of the power generation side in a plurality of time lengths; and the power consumption characteristics of the power consumption side include the power consumption amount of the power consumption side in a plurality of time lengths; the method of determining the weight corresponding to each energy storage characteristic in the energy potential matrix based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side comprises: determining a first ratio based on the power generation amount of the power generation side in a first time length and the power consumption amount of the power consumption side in the first time length; wherein the first time length is less than a preset time length; in response to the first ratio being less than a preset ratio, or the power consumption side being in a power consumption peak period or a power consumption peak period in the first time length, increasing the weight corresponding to the response speed and decreasing the weight corresponding to the energy conversion rate; the power consumption peak period is a period in which the power consumption amount of the power consumption side exceeds a first power consumption amount in a unit of time, and the power consumption peak period is a period in which the power consumption amount of the power consumption side exceeds a second power consumption amount and does not exceed the first power consumption amount in a unit of time, the first power consumption amount being greater than the second power consumption amount.

2. The method of claim 1, wherein, the energy storage characteristics of the distributed energy stations include response speed and energy conversion rate; the power generation characteristics of the power generation side include the power generation amount of the power generation side in a plurality of time lengths; and the power consumption characteristics of the power consumption side include the power consumption amount of the power consumption side in a plurality of time lengths; the method of determining the weight corresponding to each energy storage characteristic in the energy potential matrix based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side comprises: determining a second ratio based on the power generation amount of the power generation side in a second time length and the power consumption amount of the power consumption side in the second time length; wherein the second time length is greater than a preset time length; In response to the second ratio being in a preset ratio interval and the power consumption feature of the power consumption side being that the power consumption side is in a power consumption flat period or a power consumption valley period in the second time length, a weight corresponding to the energy conversion rate is increased, and a weight corresponding to the response speed is decreased; the power consumption flat period is a period in which the power consumption of the power consumption side is lower than a third power consumption but not lower than a fourth power consumption in a unit time, and the power consumption valley period is a period in which the power consumption of the power consumption side is lower than the fourth power consumption in a unit time, the third power consumption being greater than the fourth power consumption.

3. The method of claim 1, wherein, The increasing of the weight corresponding to the response speed and the decreasing of the weight corresponding to the energy conversion rate include: determining a power consumption compensation value based on the power generation amount of the power generation side in a first time length and the power consumption amount of the power consumption side in the first time length; in response to the power consumption compensation value being less than or equal to a preset compensation threshold, increasing the weight corresponding to the response speed by a preset step size and decreasing the weight corresponding to the energy conversion rate by the preset step size; in response to the power consumption compensation value being greater than the preset compensation threshold, determining a first response step size based on the power consumption compensation value, the power consumption compensation value being positively correlated with the first response step size, increasing the weight corresponding to the response speed by the first response step size, and decreasing the weight corresponding to the energy conversion rate by the first response step size.

4. The method of claim 3, wherein, The determination process of the first time length includes: determining a maximum deviation degree of the power consumption of the power consumption side in the preset time length based on a predicted power consumption of the power consumption side in the preset time length and an average power consumption in the preset time length; determining the first time length based on the maximum deviation degree, the first time length being negatively correlated with the maximum deviation degree.

5. The method of claim 1, wherein, The determination of the power supply control strategy of the distributed energy station based on the energy potential value includes: determining power supply amounts of each type of energy station in the distributed energy station based on the energy potential value, the energy potential value being positively correlated with the power supply amount.

6. A multi-energy system operation control device based on a distributed energy station, characterized by, It includes: a decision module configured to determine whether to enable the energy storage side to supply power to the power grid based on power generation features of the power generation side and power consumption features of the power consumption side, wherein the energy storage side includes distributed energy stations of multiple energy storage forms, and the power grid is configured to supply power to the power consumption side; a weight determination module configured to determine weights corresponding to each energy storage feature in an energy potential matrix based on the power generation features of the power generation side and the power consumption features of the power consumption side in response to enabling the energy storage side to supply power to the power grid, wherein the energy potential matrix is determined based on energy storage features of the distributed energy stations; an energy potential calculation module configured to calculate an energy potential value of the distributed energy stations of the multiple energy storage forms based on the weights corresponding to each energy storage feature in the energy potential matrix; a control module configured to determine a power supply control strategy of the distributed energy stations based on the energy potential value, and to control the distributed energy stations to supply power to the power grid based on the power supply control strategy; a matrix construction module configured to determine first dimension information of the energy potential matrix based on energy storage forms of the distributed energy stations; determine second dimension information of the energy potential matrix based on energy storage features of the distributed energy stations. constructing the energy potential matrix based on the first dimension information and the second dimension information; data in the energy potential matrix is determined based on historical data of the distributed energy station of each energy storage form; the energy storage characteristics of the distributed energy station include response speed and energy conversion rate; the power generation characteristics of the power generation side include power generation amount of the power generation side in multiple time lengths; and the power consumption characteristics of the power consumption side include power consumption amount of the power consumption side in multiple time lengths; a weight determination module, specifically configured to determine a first ratio based on the power generation amount of the power generation side in a first time length and the power consumption amount of the power consumption side in the first time length; wherein the first time length is less than a preset time length; in response to the first ratio being less than a preset ratio, or the power consumption side being in a power consumption peak period or a power consumption peak time period in the first time length, increasing the weight corresponding to the response speed and decreasing the weight corresponding to the energy conversion rate; the power consumption peak period is a period in which the power consumption amount of the power consumption side exceeds a first power consumption amount in a unit of time, and the power consumption peak time period is a period in which the power consumption amount of the power consumption side exceeds a second power consumption amount and does not exceed the first power consumption amount in a unit of time, the first power consumption amount being greater than the second power consumption amount.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, The processor executes the computer program to realize the steps of the method of any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 7. The computer program is executed by the processor to realize the steps of the method of any one of claims 1 to 5.

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