Multi-energy system operation control method and device based on distributed energy station

Abstract

The invention provides a multi-energy system operation control method and device based on a distributed energy station. The method comprises the steps that whether an energy storage side is started to supply power to a power grid or not is determined based on power generation characteristics of a power generation side and power utilization characteristics of a power utilization side; wherein the energy storage side comprises distributed energy stations in various energy storage forms; the power grid is used for supplying power to the power utilization side; in response to enabling the energy storage side to supply power to the power grid, determining a weight corresponding to each energy storage characteristic in the energy potential matrix based on the power generation characteristic of the power generation side and the power utilization characteristic of the power utilization side; wherein the energy potential matrix is determined based on the energy storage characteristics of the distributed energy station; calculating energy potential values of the distributed energy stations in various energy storage forms based on the weights corresponding to the energy storage characteristics in the energy potential matrix; and determining a power supply control strategy of 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. According to the invention, the operation control accuracy of the multi-energy system of the distributed energy station can be improved.

Description

Technical Field

[0001] The present application belongs to the field of distributed energy control technology, and more specifically, relates to a multi-energy system operation control method and device based on a distributed energy station. Background Art

[0002] As the global energy transition accelerates, distributed energy stations (DESs) have become a research hotspot in the energy sector due to their high efficiency and flexibility. DES systems integrate multiple energy flows, including electricity, heat, cooling, and hydrogen, and are equipped with various types of energy storage devices, including lithium batteries, supercapacitors, thermal storage tanks, and hydrogen storage, forming a complex network that coordinates the operation of "source-grid-load-storage." However, due to the varying characteristics of these various types of energy storage, the energy scheduling of existing DESs remains poor.

[0003] Therefore, an accurate and reliable multi-energy system operation control method based on distributed energy stations is needed. Summary of the Invention

[0004] The purpose of this application is to provide a multi-energy system operation control method and device based on a distributed energy station, so as to improve the accuracy and reliability of the multi-energy system operation control of the distributed energy station.

[0005] A first aspect of an embodiment of the present application provides a multi-energy system operation control method based on a distributed energy station, comprising: Determining whether to enable the energy storage side to supply power to the 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 distributed energy stations with various 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 weights corresponding to the various energy storage characteristics 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; Calculate the energy potential values ​​of distributed energy stations with various energy storage forms based on the weights corresponding to each energy storage feature in the energy potential matrix; A power supply control strategy of the distributed energy station is determined based on the energy potential value, so as to control the distributed energy station to supply power to the power grid based on the power supply control strategy.

[0006] A second aspect of an embodiment of the present application provides a multi-energy system operation control device based on a distributed energy station, comprising: A decision-making module, configured to determine whether to enable the energy storage side to supply power to the 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 distributed energy stations with various energy storage forms; and the power grid is configured to supply power to the power consumption side. a weight determination module for determining, in response to enabling the energy storage side to supply power to the grid, weights corresponding to the respective energy storage characteristics 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; Energy potential calculation module, used to calculate the energy potential values ​​of distributed energy stations with various energy storage forms based on the weights corresponding to each energy storage feature in the energy potential matrix; The control module is used to determine the power supply control strategy of the distributed energy station based on the energy potential value, so as to control the distributed energy station to supply power to the power grid based on the power supply control strategy.

[0007] In a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the above-mentioned multi-energy system operation control method based on distributed energy stations are implemented.

[0008] In a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the steps of the above-mentioned multi-energy system operation control method based on a distributed energy station are implemented.

[0009] The beneficial effects of the multi-energy system operation control method and device based on distributed energy stations provided by the embodiments of the present application are: This application constructs an energy potential matrix through the energy storage characteristics of distributed energy stations and dynamically determines the weights 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 calculates the energy potential value and formulates the power supply control strategy, so that this application can respond to changes in the power generation side and the power consumption side in a timely manner, ensuring that the power supply control strategy is highly matched with actual needs. This application can allocate power supply tasks according to the energy potential values ​​of different energy storage forms, give full play to 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0011] Figure 1 A flowchart of a multi-energy system operation control method based on a distributed energy station provided in one embodiment of the present application; Figure 2A schematic diagram of the structure of a multi-energy system of a distributed energy station provided in one embodiment of the present application; Figure 3 This is a structural block diagram of a multi-energy system operation control device based on a distributed energy station provided in one embodiment of the present application; Figure 4 A schematic block diagram of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0012] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate 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 may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0013] In order to make the purpose, technical solutions and advantages of this application clearer, specific embodiments will be described below with reference to the accompanying drawings.

[0014] Please refer to Figure 1 , Figure 1 This is a flow chart of a multi-energy system operation control method based on a distributed energy station provided in one embodiment of the present application. The method is executed by an electronic device and includes: S101-S104.

[0015] S101: 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 includes distributed energy stations with various energy storage forms; the power grid is used to supply power to the power consumption side.

[0016] In this embodiment, the power generation side corresponds to the source in the source-grid-load-storage concept. The power generation side is responsible for converting various primary energy sources (such as coal, natural gas, wind, and solar) into electricity or other usable energy. The power consumption side corresponds to the load in the source-grid-load-storage concept, and refers to the end-point of energy consumption, namely, the aggregate electricity demand of various users. Its core characteristic is "energy consumption," obtaining electricity from the grid to meet production and living needs. The energy storage side corresponds to the storage in the source-grid-load-storage concept, and refers to the process of storing excess energy through various energy storage technologies, such as battery storage, hydrogen storage, and thermal storage, and releasing it when needed. Different energy storage plants can have different energy storage forms, such as the aforementioned battery storage, hydrogen storage, and thermal storage, and each type of energy storage form has different storage characteristics.

[0017] Please refer to Figure 2 , Figure 2This is a structural diagram of a multi-energy system of a distributed energy station provided in one embodiment of the present application. The multi-energy system of a distributed energy station may include multiple energy storage power stations in various forms, such as multiple electric energy storage power stations, multiple thermal energy storage power stations, multiple hydrogen energy storage power stations, and other energy storage power stations. In addition, Figure 2 As shown, the multi-energy system of distributed energy also includes a power generation side, which can include multiple distributed power supply systems in various forms (not shown in the figure), that is, the power generation system composed of the power generation side equipment in this application. The power generation type on the power generation side can be wind power supply, solar power supply, fossil energy power supply, etc.

[0018] In this embodiment, the power generation characteristics of the power generation side may include at least one of the current power generation of the power generation side, the power generation 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, etc. The power generation or fluctuation of the power generation side after a period of time can be predicted based on historical data, which will not be repeated in the embodiments of this application.

[0019] In this embodiment, the electricity consumption characteristics of the electricity consumption side may include at least one of the following information: the current electricity consumption of the electricity consumption side, the electricity consumption of the electricity consumption side after a period of time, or the peak and valley stage of the electricity consumption side. The electricity consumption characteristics of the electricity consumption side can be obtained based on long-term information collection, experience-based determination, or historical data prediction.

[0020] In this embodiment, whether to enable the energy storage side to supply power to the grid can be determined based on the aforementioned 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. The determination of whether to enable the energy storage side to supply power to the grid based on the power generation characteristics of the power generation side and the power consumption characteristics of the power consumption side includes: In response to the fact that the difference between the power generation on the power generation side within the preset time period and the power consumption on the power consumption side within the preset time period is greater than the preset power threshold, it is determined that the energy storage side is enabled to supply power to the power grid; in response to the fact that the difference between the power generation on the power generation side within the preset time period and the power consumption on the power consumption side within the preset time period is 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.

[0021] In this embodiment, when the difference between the power generation on the power generation side within a preset time period and the power consumption on the power consumption side within a preset time period is greater than a preset power threshold, it indicates that after a period of time, that is, after the preset time period, the power generation cannot meet the power demand. At this time, the energy storage power station on the energy storage side needs to supply power to the power grid, and then the power grid will supply power to the power consumption side. The preset time period and preset power threshold can be set by those skilled in the art based on the scenario.

[0022] S102: In response to enabling the energy storage side to supply power to the power grid, the weights corresponding to the various 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; wherein the energy potential matrix is ​​determined based on the energy storage characteristics of the distributed energy station.

[0023] In this embodiment, the energy potential matrix is ​​an evaluation model based on the energy storage characteristics of distributed energy stations, used to quantify the "energy potential" of different energy storage forms. The matrix dimensions can include energy storage form (such as electrical energy storage, thermal energy storage, and hydrogen energy storage) and energy storage characteristics (such as response speed, energy conversion rate, and conversion efficiency). The data in the matrix is ​​statistically derived from historical operating data.

[0024] Specifically, constructing the energy potential matrix further includes: determining the first dimension information of the energy potential matrix based on the energy storage form of the distributed energy station; determining the 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; the data in the energy potential matrix is ​​determined based on the historical data of the distributed energy stations with various energy storage forms.

[0025] In this embodiment, due to the different physical and chemical properties of energy storage materials, the energy storage characteristics of energy storage power stations with different energy storage forms are different. Therefore, this application constructs an energy potential matrix. The two dimensions of the matrix are the energy storage form and energy storage characteristics of the distributed energy station. The energy potential matrix can be shown in Table 1. Table 1 is only a partial schematic diagram. It is stored in the device and should be in matrix form. The data in the energy potential matrix can be determined by those skilled in the art based on experience or historical data.

[0026]

[0027] In this embodiment, since different types of energy storage power stations have different energy storage characteristics, the adaptability of different energy storage power stations should also be different under different scenario requirements. Therefore, this 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. The higher the weight, the more important the energy storage characteristic is in the current scenario.

[0028] S103: Calculate the energy potential values ​​of distributed energy stations with various energy storage forms based on the weights corresponding to the various energy storage characteristics in the energy potential matrix.

[0029] In this embodiment, energy storage characteristics include, but are not limited to, the aforementioned energy conversion rate, response speed, and conversion efficiency, and may also include lifespan degradation, etc., which are not limited in this embodiment of the application. The energy potential value is a quantitative indicator calculated by combining the various energy storage characteristics and their weights in the energy potential matrix. It reflects the "energy potential" of the energy storage system in the current scenario. The higher the energy potential value, the greater the power supply priority and power supply amount. Therefore, it can serve as a decision-making basis for power supply control strategies.

[0030] In this embodiment, before performing weighted calculation, each value in the matrix should 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 feature are the same.

[0031] S104: Determine a power supply control strategy of the distributed energy station based on the energy potential value, so as to control the distributed energy station to supply power to the power grid based on the power supply control strategy.

[0032] In this embodiment, as can be seen from the foregoing, the energy potential value can be used to reflect the level of energy potential in the current scenario, that is, the degree of adaptability to the current scenario. Therefore, energy storage power stations with higher energy potential values ​​should have higher priority in the current scenario and should output more electricity. Therefore, the power supply ratio of each type of energy storage power station in the distributed energy station can be determined based on the ratio of energy potential values, and this power supply ratio can be used as a power supply control strategy to control the distributed energy station's power supply to the grid.

[0033] In this embodiment, the determined power supply control strategy essentially assigns different tasks to different types of energy storage power stations. In order to complete this task, energy storage power stations of the same type can be allocated based on the current power of each energy storage power station. For example, the energy storage power stations are arranged in order from large to small according to their current power, and energy storage power stations are selected in this order until the power supply demand can be met. Alternatively, the arrangement order can be set based on information from other dimensions.

[0034] From the above, it can be concluded that the present application constructs an energy potential matrix through the energy storage characteristics of the distributed energy station and dynamically determines the weights 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 calculates the energy potential value and formulates the 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, ensuring that the power supply control strategy is highly matched with actual needs. The present application can allocate power supply tasks according to the energy potential values ​​of different energy storage forms, give full play to 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.

[0035] In one 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 of the power generation side within multiple time periods; the power consumption characteristics of the power consumption side include the power consumption of the power consumption side within multiple time periods; The weights corresponding to each energy storage feature 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: Determining a first ratio based on the power generation amount of the power generation side within the first time period and the power consumption amount of the power consumption side within the first time period; wherein the first time period is less than the preset time period; In response to the first ratio being less than a preset ratio, or the power consumption side being in a peak power consumption period or a peak power consumption period within a first time period, the weight corresponding to the response speed is increased, and the weight corresponding to the energy conversion rate is decreased; the peak power consumption period is a period when the power consumption of the power consumption side exceeds the first power consumption per unit time, and the peak power consumption period is a period when the power consumption of the power consumption side exceeds the second power consumption per unit time, and the first power consumption is greater than the second power consumption. The first power consumption and the second power consumption can be set based on conventional choices in the art.

[0036] In this embodiment, response speed refers to the time interval between the energy storage device receiving a charge / discharge instruction and the actual start of charging / discharging, reflecting the energy storage device's ability to quickly respond to changes in power demand. Energy conversion efficiency represents the ratio of output energy to input energy during the energy storage device's charge / discharge process, reflecting the efficiency of the energy storage device's energy conversion process. The power generation capacity of the power generation side and the power consumption capacity of the power consumption side over multiple time periods can be predicted based on historical data.

[0037] In this embodiment, the first ratio can be the ratio of the power generation of the power generation side in the first time period to the power consumption of the power consumption side in the first time period, that is, the numerator of the first ratio is the power generation of the power generation side in the first time period, and the denominator is the power consumption of the power consumption side in the first time period. The first ratio can intuitively reflect the balance between power generation and power consumption in this time period. When the first ratio is less than the preset ratio, it means that the power generation of the power generation side in the first time period cannot meet the power consumption in the first time period, and the energy storage power station is required to supply power. The first time period is less than the preset time period, which means that the current supply and demand imbalance is more urgent. Therefore, before calculating the above-mentioned energy potential value, the weights of each energy storage feature should be adjusted to obtain the weight distribution that best suits the current scenario. In addition, when the power consumption side is in a peak power consumption period or a peak power consumption period in the first time period, the aforementioned supply and demand imbalance is also met. At this time, the energy storage side should also provide energy.

[0038] In this embodiment, when the supply and demand imbalance is more urgent, the weight corresponding to the response speed should be increased. At this time, the weight of the energy conversion rate dimension can be reduced. In order to solve the current supply and demand imbalance more quickly, the requirement for energy conversion rate can be appropriately reduced.

[0039] From the above, it can be concluded that the present application can identify scenarios where supply and demand are unbalanced and the situation is more urgent by calculating the first ratio of the power generation on the power generation side in the first time period to the power consumption on the power consumption side in the first time period, and judging its relationship with the preset ratio, as well as combining whether the power consumption side is in a peak or peak period of power consumption. When the first ratio is less than the preset ratio, or when the power consumption side is in a peak or peak period of power consumption, the weight corresponding to the response speed is promptly increased, and the weight corresponding to the energy conversion rate is reduced, so that the energy storage device can quickly respond to urgent power supply needs, give priority to ensuring the timeliness of power supply, alleviate the power shortage problem caused by the imbalance between supply and demand, improve the ability of distributed energy stations to respond to emergencies, and also improve the accuracy and reliability of the operation control of the multi-energy system of distributed energy stations.

[0040] In one 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 of the power generation side within multiple time periods; the power consumption characteristics of the power consumption side include the power consumption of the power consumption side within multiple time periods; The weights corresponding to each energy storage feature 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: Determining a second ratio in response to the power generation amount of the power generation side within a second time period and the power consumption amount of the power consumption side within the second time period; wherein the second time period is greater than the preset time period; In response to the second ratio being within a preset ratio range, and the power consumption characteristic of the power consumption side being that the power consumption side is in a level consumption period or a low consumption period within the second time period, the weight corresponding to the energy conversion rate is increased, and the weight corresponding to the response speed is decreased; wherein the level consumption period is a period during which the power consumption of the power consumption side is lower than the third power consumption but not lower than the fourth power consumption per unit time, and the low consumption period is a period during which the power consumption of the power consumption side is lower than the fourth power consumption per unit time, and the third power consumption is greater than the fourth power consumption. The third power consumption and the fourth power consumption can be set based on conventional choices in the art.

[0041] In this embodiment, the second ratio can be the ratio of the power generation on the power generation side in the second time period to the power consumption on the power consumption side in the second time period, that is, the numerator of the second ratio is the power generation on the power generation side in the second time period, and the denominator is the power consumption on the power consumption side in the second time period. When the second ratio is in the preset ratio interval, it means that although the power generation in the second time period cannot meet the power consumption in the second time period, there is no serious power supply shortage. If the second time period is in a level consumption period or a low power consumption period, that is, at this time, the power supply and demand are relatively loose, and the demand for energy storage to quickly respond to power changes is reduced. In order to more efficiently utilize the energy storage equipment 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 to reduce energy waste.

[0042] In this 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 characteristics in the energy potential matrix, the weights corresponding to other energy storage characteristics except the energy conversion rate can be reduced, and the decrease value of the weight corresponding to all energy storage characteristics is equal to the increase value of the weight corresponding to the energy conversion rate to ensure that the sum of the weights is 1. The specific increase value and decrease value can be set based on this scenario or preference.

[0043] From the above, it can be concluded that the present application determines a scenario where electricity supply and demand are relatively loose by calculating the second ratio of the power generation on the power generation side in the second time period to the power consumption on the power consumption side in the second time period, and combining whether the power consumption side is in a level consumption segment or a low period. When in this situation, the weight corresponding to the energy conversion rate is increased, and the weight corresponding to the response speed is reduced. The improvement in energy conversion rate means that the energy storage device can more efficiently convert input energy into output energy during the charging and discharging process, reducing energy loss during the conversion process. Through the above adjustments, the energy storage device can operate in a more efficient manner when the power supply and demand is loose, achieve efficient energy utilization, reduce energy loss in distributed energy stations, improve the economy and sustainability of energy utilization, and improve the accuracy and reliability of multi-energy system operation control of distributed energy stations.

[0044] In one embodiment of the present application, increasing the weight corresponding to the response speed and decreasing the weight corresponding to the energy conversion rate include: Determine the electricity consumption compensation value based on the power generation amount of the power generation side in the first time period and the power consumption amount of the power consumption side in the first time period; 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 a preset step size; In response to the electricity consumption compensation value being greater than a preset compensation threshold, a first response step is determined based on the electricity consumption compensation value, the electricity 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 reduced by the first response step.

[0045] In this embodiment, the electricity consumption compensation value can be the value obtained by subtracting the power generation amount of the power generation side during the first time period from the power consumption of the power consumption side during the first time period. The electricity consumption compensation value refers to the size of the power supply gap of the power grid, which needs to be supplemented by the energy storage side. The preset compensation threshold is a pre-set critical value of the electricity consumption compensation value, which is used to determine the urgency of the power supply gap. 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 the adjustment step size is fixed; when the compensation value is greater than the threshold, it indicates that the gap is large and the adjustment step size needs to be dynamically increased.

[0046] In this embodiment, when the power consumption compensation value is greater than the preset compensation threshold, the first response step length may be determined by using a first formula and the power consumption compensation value. The first formula may be:

[0047] in, represents the first response step length, Represents the global scale factor, which is used to control the scaling factor of the basic step length and determine the overall adjustment range. Indicates the electricity compensation value, Indicates the preset compensation threshold, Indicates the reference compensation value, used for normalization, Represents a nonlinear index, controlling the relationship between the gap and the step length. When it is greater than 1, the larger the gap, the faster the step growth rate. is the load rate correction coefficient, which is used to control the impact of the load rate on the step length. Represents the load rate function, which is used to quantify Correction to the first response step size, is the real-time load rate, which is the ratio of actual load to rated load. 、 、 It can be determined based on multiple experiments that the calculation of the above formula is a dimensionless form calculation.

[0048] In the first formula, As the basic item, Indicates the portion of the actual gap that exceeds the threshold. For normalization, For nonlinear amplification, and finally multiplied by Control the overall amplitude. The larger the gap, the faster the step length increases. is the correction term, using the real-time load rate Modify the basic step size to reflect that the tighter the power demand, the faster the response is needed. It can be a simple piecewise function or a linear function. The slope and intercept of the linear function can be set based on the actual scenario. 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. In this embodiment, the first response step after calculation should be normalized before adjusting the weight. After determining the first response step, the weight corresponding to the response speed can be increased according to the first response step, and the weight corresponding to the energy conversion rate can be reduced according to the first response step, to ensure that the sum of the weights is 1.

[0049] From the above, it can be concluded that the present application quantifies the size of the power supply gap of the power grid by calculating the power consumption compensation value. When the power consumption compensation value is less than or equal to the preset compensation threshold, it indicates that the power supply gap is small. At this time, the weights corresponding to the response speed and energy conversion rate are adjusted with the preset step size. The fixed step size adjustment method is simple and easy to control, and can meet the rapid response requirements under smaller gaps. When the power consumption compensation value is greater than the preset compensation threshold, it means that the power supply gap is large and the situation is more urgent. At this time, the first response step size is dynamically determined based on the power consumption compensation value, and the power consumption compensation value is positively correlated with the first response step size. The above-mentioned method of dynamically adjusting the step size can accurately adjust the weight according to the size of the gap, ensuring that the larger the gap, the greater the increase in the response speed weight and the decrease in the energy conversion rate weight, thereby meeting urgent power supply needs more quickly and improving the ability of distributed energy stations to cope with power supply gaps of different degrees of urgency.

[0050] In one embodiment of the present application, the process of determining the first duration includes: Determining a maximum deviation of the power consumption of the power consumption side within the preset time period based on the predicted power consumption of the power consumption side within the preset time period and the average power consumption within the preset time period; A first duration is determined based on the maximum deviation degree, wherein the first duration is negatively correlated with the maximum deviation degree.

[0051] In this embodiment, the first duration is used to calculate the time window of the real-time supply and demand relationship between the power generation side and the power consumption side. Its length is dynamically determined by the fluctuation characteristics of the power consumption side. The first duration serves as the time basis for dynamically adjusting the energy storage weight to ensure a rapid response when power consumption fluctuates violently. Average power consumption can be understood as standard power consumption, which is a value determined based on long-term experience. When the deviation between the predicted power consumption within a preset duration and the average power consumption within the preset duration is large, it means that the power consumption fluctuation is more severe, that is, 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 duration is negatively correlated with the maximum deviation degree. The maximum deviation degree can be calculated by taking the difference between the predicted power consumption of the power consumption side at each moment within the preset duration and the average power consumption at the corresponding moment within the preset duration as the numerator, the average power consumption at the corresponding moment as the denominator, and the largest score among the obtained scores as the maximum deviation degree.

[0052] In this embodiment, the first duration can be determined by a simple linear mapping method, for example: ,in, Indicates the first duration, Indicates the maximum value of the first duration, Indicates the maximum degree of deviation, which can be expressed as a fraction or percentage. is the adjustment coefficient, which is used to control the impact of the deviation on the duration. It can be determined based on multiple experiments. The calculation of the above formula is dimensionless.

[0053] From the above, it can be concluded that the present application can accurately adapt to the fluctuation characteristics of the electricity consumption side by calculating the maximum deviation between the predicted electricity consumption and the average electricity consumption within a preset time period, and dynamically determining the first time period based on the maximum deviation. When the maximum deviation is large, it means that the electricity consumption fluctuates violently. At this time, a shorter first time period is determined, so that the system can more frequently adjust the energy storage weight based on the real-time supply and demand relationship between the power generation side and the electricity consumption side within the shorter time window, thereby quickly responding to electricity fluctuations and ensuring the stability of power supply. On the contrary, when the maximum deviation is small, the electricity consumption fluctuation is relatively stable, and a longer first time period is determined to reduce the frequency of energy storage weight adjustment and reduce system operating costs. The above-mentioned method of dynamically determining the first time period enables distributed energy stations to better adapt to various complex electricity fluctuation scenarios, thereby improving the adaptability and reliability of the system.

[0054] In one embodiment of the present application, determining a power supply control strategy of a distributed energy station based on energy potential value includes: The power supply 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.

[0055] In this embodiment, the energy potential value is a quantitative indicator calculated by combining the characteristics of various energy storage devices in the distributed energy station, such as response speed, energy density, and energy conversion rate, with the conditions on the power generation and power consumption sides, such as power generation, power consumption, and power consumption time period, through an energy potential matrix and weight calculation. It reflects the comprehensive ability and value of this type of energy storage device in participating in power supply in the current scenario. In other words, the energy potential value comprehensively considers the ability of the energy storage device to adapt to the current power generation and power consumption conditions. Based on this, when formulating the power supply control strategy, the principle of higher energy potential values, higher power supply priority, and greater power supply is followed. The energy potential value is used as the basis for allocating power supply tasks (priority and power supply), thereby achieving reasonable scheduling of power supply in the distributed energy station, allowing energy storage devices that are more suitable for the current scenario to fully play their role, and ensuring stable and efficient power supply.

[0056] For example, consider lithium battery energy storage (Type A) and hydrogen energy storage (Type B). During a certain period, the generation side is a photovoltaic power station, and power generation fluctuates due to weather. The user side is experiencing peak demand and has high requirements for power supply response speed. The energy potential value of lithium battery energy storage (Type A) is 80, and its fast response speed is highly weighted in this peak demand scenario, resulting in a high energy potential value. However, the energy potential value of hydrogen energy storage (Type B) is 50, and its relatively slow response speed results in a low energy potential value. At this time, the grid needs to supplement power from distributed energy stations for a total of 1000 kWh. Based on the positive correlation between energy potential values, we can simply allocate this power based on energy potential percentage. Type A accounts for approximately 61.5%, while Type B accounts for approximately 38.5%. Therefore, the lithium battery energy storage (Type A) will supply approximately 615 kWh, and the hydrogen energy storage (Type B) will supply approximately 385 kWh. By giving priority and providing more power to the faster-response lithium battery during peak demand, we can meet the user's demand for timely power supply and fully utilize the characteristics of different energy storage types.

[0057] As can be seen from the above, this application calculates the energy potential value, a quantitative indicator, by comprehensively considering the characteristics of various energy storage devices in a distributed energy station, as well as the conditions on the power generation and power consumption sides. The energy potential value comprehensively reflects the comprehensive capabilities and value of the energy storage device in participating in power supply in the current scenario. Based on the energy potential value, the power supply of each type of energy station is determined. Following the principle that the higher the energy potential value, the higher the power supply priority and the greater the power supply, the rational scheduling of the distributed energy station power supply is achieved, avoiding the blindness and irrationality that may occur in traditional power supply control. It can accurately allocate power supply tasks based on the actual capabilities of different energy storage devices and current power demand, thereby improving the rationality of power supply. This embodiment controls power supply based on the energy potential value, giving priority to energy storage devices with high energy potential values ​​(i.e., more suitable for the current scenario) and providing more power. It can fully utilize the characteristics of different energy storage types, ensure timely and stable power supply in various power consumption scenarios, avoid power shortages or surpluses caused by improper energy storage device selection or unreasonable power supply allocation, improve the stability and efficiency of power supply, and ensure the reliable operation of distributed energy stations.

[0058] Corresponding to the multi-energy system operation control method based on distributed energy stations in the above embodiment, Figure 3 This is a structural block diagram of a multi-energy system operation control device based on a distributed energy station provided in one embodiment of the present application. For ease of explanation, only the parts related to the embodiment of the present application are shown. Figure 3 The multi-energy system operation control device 20 based on the distributed energy station includes: a decision module 21, a weight determination module 22, an energy potential calculation module 23 and a control module 24.

[0059] The decision module 21 is used 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 distributed energy stations with various energy storage forms; the power grid is used to supply power to the power consumption side; a weight determination module 22 for determining, in response to enabling the energy storage side to supply power to the grid, weights corresponding to the respective energy storage characteristics 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; Energy potential calculation module 23, used to calculate the energy potential values ​​of distributed energy stations with multiple energy storage forms based on the weights corresponding to the energy storage characteristics in the energy potential matrix; The control module 24 is configured to determine a power supply control strategy of the distributed energy station based on the energy potential value, so as to control the distributed energy station to supply power to the power grid based on the power supply control strategy.

[0060] In one embodiment of the present application, the multi-energy system operation control device 20 based on the distributed energy station further includes: a matrix construction module for determining first dimension information of the energy potential matrix based on the energy storage form of the distributed energy station; Determine the second dimension information of the energy potential matrix based on the energy storage characteristics of the distributed energy station; An energy potential matrix is ​​constructed 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 distributed energy stations in various energy storage forms.

[0061] In one 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 of the power generation side within multiple time periods; the power consumption characteristics of the power consumption side include the power consumption of the power consumption side within multiple time periods; The weight determination module 22 is specifically configured to determine a first ratio based on the power generation amount of the power generation side within a first time period and the power consumption amount of the power consumption side within the first time period, wherein the first time period is less than a preset time period; In response to the first ratio being less than the preset ratio, or the electricity consumption side being in a peak electricity consumption period or a peak electricity consumption period within the first time period, the weight corresponding to the response speed is increased, and the weight corresponding to the energy conversion rate is reduced; the peak electricity consumption period is a period when the electricity consumption on the electricity consumption side exceeds the first electricity consumption per unit time, and the peak electricity consumption period is a period when the electricity consumption on the electricity consumption side exceeds the second electricity consumption per unit time but does not exceed the first electricity consumption, and the first electricity consumption is greater than the second electricity consumption.

[0062] In one 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 of the power generation side within multiple time periods; the power consumption characteristics of the power consumption side include the power consumption of the power consumption side within multiple time periods; The weight determination module 22 is further configured to determine a second ratio in response to the power generation amount of the power generation side within the second time period and the power consumption amount of the power consumption side within the second time period; wherein the second time period is greater than the preset time period; In response to the second ratio being in a preset ratio range, and the electricity consumption characteristic of the electricity consumption side being that the electricity consumption side is in a level consumption period or a low consumption period within the second time period, the weight corresponding to the energy conversion rate is increased, and the weight corresponding to the response speed is reduced; wherein, the level consumption period is a period in which the electricity consumption on the electricity consumption side is lower than the third electricity consumption but not lower than the fourth electricity consumption per unit time, the low consumption period is a period in which the electricity consumption on the electricity consumption side is lower than the fourth electricity consumption per unit time, and the third electricity consumption is greater than the fourth electricity consumption.

[0063] In one embodiment of the present application, the weight determination module 22 is further configured to determine the electricity consumption compensation value based on the power generation amount of the power generation side within the first time period and the power consumption amount of the power consumption side within the first time period; 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 a preset step size; In response to the electricity consumption compensation value being greater than a preset compensation threshold, a first response step is determined based on the electricity consumption compensation value, the electricity 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 reduced by the first response step.

[0064] In one embodiment of the present application, the multi-energy system operation control device 20 based on the distributed energy station further includes: a duration determination module, configured to determine a maximum deviation degree of the power consumption of the power consumption side within the preset duration based on the predicted power consumption of the power consumption side within the preset duration and the average power consumption within the preset duration; A first duration is determined based on the maximum deviation degree, wherein the first duration is negatively correlated with the maximum deviation degree.

[0065] In one embodiment of the present 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.

[0066] See also Figure 4 , Figure 4 This is a schematic block diagram of an electronic device provided in one embodiment of the present application. Figure 4The electronic device 300 in the embodiment shown 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 memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned device embodiments, such as Figure 3 The functions of the decision module 21, the weight determination module 22, the energy potential calculation module 23 and the control module 24 are shown.

[0067] It should be understood that in the embodiment of the present application, the processor 301 may be a central processing unit (CPU), and the processor may 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 gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0068] The input device 302 may include a touchpad, a fingerprint collection sensor (for collecting user fingerprint information and fingerprint direction information), a microphone, etc. The output device 303 may include a display (LCD, etc.), a speaker, etc.

[0069] The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store an energy potential matrix.

[0070] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiment of the present application can execute the implementation method described in the embodiment of the multi-energy system operation control method based on the distributed energy station provided in the embodiment of the present application, and can also execute the implementation method of the electronic device described in the embodiment of the present application, which will not be repeated here.

[0071] In another embodiment of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, all or part of the process of the method in the above embodiment is implemented. The computer program can also be used to instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above method embodiments are implemented. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, 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.

[0072] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the aforementioned embodiments, such as a hard disk or 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 memory card, etc. Furthermore, the computer-readable storage medium can include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs 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 is about to be output.

[0073] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0074] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0075] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or can be an electrical, mechanical or other form of connection.

[0076] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0077] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0078] The above are only specific embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and such modifications or substitutions should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A multi-energy system operation control method based on distributed energy stations, characterized in that: include: 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 distributed energy stations in various 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 weights corresponding to the various energy storage characteristics 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 stations of the multiple energy storage forms based on the weights corresponding to the energy storage characteristics in the energy potential matrix; A power supply control strategy of the distributed energy station is determined based on the energy potential value, so as to control the distributed energy station to supply power to the power grid based on the power supply control strategy.

2. The method according to claim 1, wherein The method further includes: constructing the energy potential matrix, further including: Determining first dimension information of an energy potential matrix based on the energy storage form 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; The energy potential matrix is ​​constructed based on the first dimensional information and the second dimensional information; the data in the energy potential matrix is ​​determined based on the historical data of distributed energy stations in various energy storage forms.

3. The method according to claim 1, wherein 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 of the power generation side within multiple time periods; the power consumption characteristics of the power consumption side include the power consumption of the power consumption side within multiple time periods; The determining of the weights corresponding to the respective energy storage characteristics 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: Determining a first ratio based on the power generation amount of the power generation side within a first time period and the power consumption amount of the power consumption side within the first time period; wherein the first time period is less than a preset time period; In response to the first ratio being less than a preset ratio, or the power consumption side being in a peak power consumption period or a peak power consumption period within a first time period, the weight corresponding to the response speed is increased, and the weight corresponding to the energy conversion rate is reduced; the peak power consumption period is a period when the power consumption on the power consumption side exceeds the first power consumption per unit time, and the peak power consumption period is a period when the power consumption on the power consumption side exceeds the second power consumption per unit time but does not exceed the first power consumption, and the first power consumption is greater than the second power consumption.

4. The method according to claim 1, wherein 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 of the power generation side within multiple time periods; the power consumption characteristics of the power consumption side include the power consumption of the power consumption side within multiple time periods; The determining of the weights corresponding to the respective energy storage characteristics 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: Determining a second ratio in response to the power generation amount of the power generation side within a second time period and the power consumption amount of the power consumption side within a second time period; wherein the second time period is greater than a preset time period; In response to the second ratio being in a preset ratio range, and the electricity consumption characteristic of the electricity consumption side being that the electricity consumption side is in a level consumption period or a low consumption period within 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 level consumption period is a period in which the electricity consumption on the electricity consumption side is lower than the third electricity consumption but not lower than the fourth electricity consumption per unit time, the low consumption period is a period in which the electricity consumption on the electricity consumption side is lower than the fourth electricity consumption per unit time, and the third electricity consumption is greater than the fourth electricity consumption.

5. The method according to claim 3, wherein The increasing the weight corresponding to the response speed and reducing the weight corresponding to the energy conversion rate include: Determining an electricity consumption compensation value based on the power generation amount of the power generation side within the first time period and the power consumption amount of the power consumption side within the first time period; In response to the electricity 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 a preset step size; In response to the electricity consumption compensation value being greater than the preset compensation threshold, a first response step is determined based on the electricity consumption compensation value, the electricity 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 reduced by the first response step.

6. The method according to claim 5, wherein The process of determining the first duration includes: Determining a maximum deviation of the power consumption of the power consumption side within the preset time period based on the predicted power consumption of the power consumption side within the preset time period and the average power consumption within the preset time period; The first duration is determined based on the maximum deviation degree, wherein the first duration is negatively correlated with the maximum deviation degree.

7. The method according to claim 1, wherein The determining of the power supply control strategy of the distributed energy station based on the energy potential value includes: The power supply 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.

8. A multi-energy system operation control device based on a distributed energy station, characterized in that: include: A decision module, 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 includes distributed energy stations with various energy storage forms; and the power grid is configured to supply power to the power consumption side; a weight determination module for determining, in response to enabling the energy storage side to supply power to the power grid, weights corresponding to the respective energy storage characteristics 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; An energy potential calculation module, configured to calculate the energy potential values ​​of the distributed energy stations of the plurality of energy storage forms based on the weights corresponding to the energy storage characteristics in the energy potential matrix; A control module is used to determine a power supply control strategy of the distributed energy station based on the energy potential value, so as to control the distributed energy station to supply power to the power grid based on the power supply control strategy.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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