Energy storage power station data processing method and device, electronic equipment and storage medium

Abstract

The application provides a kind of energy storage power station data processing method and device, electronic equipment, storage medium, belong to data processing technical field, this method is applied to light storage system, light storage system includes the photovoltaic power station and energy storage power station, photovoltaic power station and energy storage power station are connected with the controller communication connection with power grid, this method is executed by the controller of light storage system, including: obtaining the statistical data of energy storage power station in each historical date in multiple time windows;Statistical data includes energy storage charging capacity, and the power grid power of the power grid incoming line side of energy storage power station;For each historical date, based on the statistical data in multiple time windows of this historical date, perform photovoltaic consumption amount calculation operation, obtain the photovoltaic consumption amount in multiple time windows of this historical date.The energy storage power station data processing method and device, electronic equipment, storage medium provided by the application can improve the statistical accuracy of photovoltaic consumption amount in the energy storage charging process of light storage system.

Description

Technical Field

[0001] This application belongs to the field of data processing technology, and more specifically, relates to a data processing method and device for energy storage power stations, electronic equipment, and storage medium. Background Technology

[0002] Commercial and industrial photovoltaic-storage systems are integrated energy systems built for power-consuming entities such as industrial and commercial parks. By integrating photovoltaic power generation, energy storage charging and discharging, and load dispatching units, they can realize on-site production and consumption of photovoltaic power. At the same time, they rely on energy storage to complete power time-series transfer and power regulation. They are core equipment for industrial and commercial users to efficiently utilize clean energy.

[0003] By statistically analyzing the amount of photovoltaic power consumed during the energy storage charging process, we can accurately quantify the scale and efficiency of local photovoltaic power consumption, clearly define the power boundaries of photovoltaic self-consumption, energy storage consumption, and grid interaction, and provide core data support for power regulation and charging strategy optimization of industrial and commercial photovoltaic and energy storage systems.

[0004] However, due to the dispersed nature of photovoltaic power generation, centralized data collection is difficult, making it impossible to effectively track the photovoltaic power consumed during energy storage charging, which is detrimental to the refined management of industrial and commercial photovoltaic-energy storage systems. Summary of the Invention

[0005] The purpose of this application is to provide a data processing method and device, electronic equipment, and storage medium for energy storage power stations, so as to improve the statistical accuracy of photovoltaic consumption during the energy storage charging process of photovoltaic energy storage systems.

[0006] A first aspect of this application provides a data processing method for an energy storage power station, applied to a photovoltaic-energy storage system. The photovoltaic-energy storage system includes a photovoltaic power station and an energy storage power station, both communicatively connected to a controller. The photovoltaic power station and the energy storage power station are respectively connected to the power grid. The method is executed by the controller of the photovoltaic-energy storage system, and the method includes:

[0007] Obtain statistical data for the energy storage power station within multiple time windows on each historical date; the statistical data includes the energy storage charging amount and the grid power on the grid incoming side of the energy storage power station;

[0008] For each historical date, the photovoltaic (PV) grid connection consumption is calculated based on statistical data within multiple time windows of that historical date, resulting in the PV grid connection consumption within those multiple time windows.

[0009] Specifically, for each historical date, the photovoltaic power consumption calculation operation includes:

[0010] The solar position astronomical algorithm is used to calculate the theoretical photovoltaic power generation period of the target area on this historical date; the target area is the area where the photovoltaic power station is located.

[0011] The actual power generation of the photovoltaic power station within multiple time windows on a historical date, and the equipment operating conditions of the energy storage power station within multiple time windows, are obtained. Based on the actual power generation of the photovoltaic power station and the equipment operating conditions of the energy storage power station, the theoretical power generation period of the photovoltaic power station is corrected to obtain the effective power generation period of the photovoltaic power station.

[0012] During the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined based on the grid power and energy storage charging capacity in each time window; outside the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined to be zero.

[0013] A second aspect of this application provides a data processing device for an energy storage power station, disposed in a controller of a photovoltaic-energy storage system. The photovoltaic-energy storage system further includes a photovoltaic power station and an energy storage power station, both communicatively connected to the controller. The photovoltaic power station and the energy storage power station are respectively connected to the power grid. The device includes:

[0014] The data acquisition module is used to acquire statistical data of the energy storage power station within multiple time windows on each historical date; the statistical data includes the energy storage charging amount and the grid power on the grid incoming side of the energy storage power station;

[0015] The data calculation module is used to perform photovoltaic power consumption calculation operations for each historical date based on statistical data within multiple time windows of that historical date, and obtain the photovoltaic power consumption within multiple time windows of that historical date;

[0016] Specifically, when performing the photovoltaic power consumption calculation operation for each historical date, the data calculation module is used for:

[0017] The solar position astronomical algorithm is used to calculate the theoretical photovoltaic power generation period of the target area on this historical date; the target area is the area where the photovoltaic power station is located.

[0018] The actual power generation of the photovoltaic power station within multiple time windows on a historical date, and the equipment operating conditions of the energy storage power station within multiple time windows, are obtained. Based on the actual power generation of the photovoltaic power station and the equipment operating conditions of the energy storage power station, the theoretical power generation period of the photovoltaic power station is corrected to obtain the effective power generation period of the photovoltaic power station.

[0019] During the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined based on the grid power and energy storage charging capacity in each time window; outside the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined to be zero.

[0020] A third aspect of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the above-described energy storage power station data processing method.

[0021] In a fourth aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described energy storage power station data processing method.

[0022] The beneficial effects of the energy storage power station data processing method and apparatus, electronic equipment, and storage medium provided in this application embodiment are as follows:

[0023] This application embodiment no longer uses the traditional method of calculating photovoltaic absorption capacity based solely on photovoltaic power generation data. First, it determines the theoretical photovoltaic power generation period for each historical date based on a preset solar position astronomical algorithm. Then, it corrects the theoretical photovoltaic power generation period based on the actual power generation of the photovoltaic power station and the operating conditions of the energy storage power station to obtain the effective photovoltaic power generation period.

[0024] Based on this, during the effective photovoltaic power generation period, the actual power consumption in each time window is calculated by back-calculating the relationship between grid power, energy storage charging, and photovoltaic absorption. Outside the effective photovoltaic power generation period, the photovoltaic absorption of the corresponding time window is directly determined to be zero.

[0025] Using the method in this embodiment, there is no need to count the dispersed photovoltaic power generation, thus enabling accurate statistics on photovoltaic consumption, which is beneficial for the refined management of industrial and commercial photovoltaic and energy storage systems. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 A schematic diagram of a photovoltaic energy storage system provided in an embodiment of this application;

[0028] Figure 2 A schematic flowchart illustrating a data processing method for an energy storage power station provided in an embodiment of this application;

[0029] Figure 3 This is a structural block diagram of an energy storage power station data processing device provided in an embodiment of this application;

[0030] Figure 4 This is a schematic block diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0031] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0032] To make the objectives, technical solutions, and advantages of this application clearer, the following description will be provided in conjunction with the accompanying drawings and specific embodiments.

[0033] The energy storage power station data processing method provided in this application embodiment is applied to photovoltaic-energy storage systems. Please refer to [link / reference]. Figure 1 , Figure 1 This is a schematic diagram of a photovoltaic and energy storage system provided in an embodiment of this application. The photovoltaic and energy storage system includes a photovoltaic power station and an energy storage power station, both of which are communicatively connected to a controller. The photovoltaic power station and the energy storage power station are respectively connected to the power grid.

[0034] Two-way meters for billing and integrated two-way meters for internal management of the photovoltaic-storage system are installed in parallel on the mains power inlet side (i.e., the grid inlet side) of the photovoltaic-storage system. Simultaneously, two-way meters are installed in each photovoltaic grid-connected cabinet on the low-voltage side, and in each energy storage grid-connected cabinet. Based on the principle of power balance, the metering formula is as follows:

[0035] Mains power supply (grid power) + Photovoltaic power generation = Load power consumption + Energy storage charging capacity;

[0036] Among them, the incoming power from the mains (power grid power): positive power (positive value) represents power purchased from the grid, and reverse power represents power fed back to the grid;

[0037] Electricity consumption: Always positive, representing the actual electricity consumption of production load;

[0038] Photovoltaic power generation: The sum of the metering values ​​of all photovoltaic grid-connected cabinets is always positive, representing the photovoltaic power generation;

[0039] Energy storage charging amount: The sum of the positive energy of the metering meters of each energy storage grid-connected cabinet. When the energy storage is discharging, the reverse energy starts to be measured, and the positive energy is 0.

[0040] Please refer to Figure 2 , Figure 2This is a flowchart illustrating a data processing method for an energy storage power station according to an embodiment of this application. The data processing method for an energy storage power station provided in this embodiment can be executed by the controller of a photovoltaic-energy storage system. The method may include:

[0041] S101: Obtain statistical data of the energy storage power station within multiple time windows on each historical date; the statistical data includes the energy storage charging amount and the grid power on the grid incoming side of the energy storage power station.

[0042] In this embodiment, each historical date can be divided into time periods to obtain multiple time windows for each historical date, and the energy storage charging amount and grid power within each time window can be statistically analyzed. The time windows can be divided according to actual needs; for example, a time window can be 15 minutes, and a 24-hour day can be divided into 96 time windows.

[0043] S102: For each historical date, perform a photovoltaic absorption calculation operation based on the statistical data within multiple time windows of that historical date to obtain the photovoltaic absorption within multiple time windows of that historical date.

[0044] The calculation of photovoltaic power consumption for each historical date includes the following steps S1021-S1023:

[0045] S1021: Calculates the theoretical photovoltaic power generation period of the target area on the historical date based on the preset solar position astronomical algorithm; the target area is the area where the photovoltaic power station is located.

[0046] In this embodiment, a preset solar position astronomical algorithm can be invoked. The latitude and longitude of the target area where the photovoltaic power station is located, along with historical dates, are input to calculate the solar irradiance period for the target area on that day, i.e., the theoretical photovoltaic power generation period (such as sunrise to sunset). The specific process is as follows:

[0047] Step 1: Calculate Julian Day (J)

[0048] Convert the year (Y) / month (M) / day (D) in historical dates to consecutive days. The formula applies to years 1900-2100:

[0049] If M ≤ 2, then Y = Y-1, M = M+12;

[0050] A = Y / / 100 (integer division);

[0051] B = 2 - A + A / / 4;

[0052] J = floor(365.25×(Y+4716)) + floor(30.6001×(M+1)) + D + B - 1524.5;

[0053] Note: Julian Day is a consecutive day count, and the result represents the Julian Day at noon on that day (including the decimal part).

[0054] Step 2: Calculate the solar ecliptic longitude (L)

[0055] Solar longitude is the angle of the sun on the ecliptic relative to the vernal equinox.

[0056] Sun angle (g, radians):

[0057] g = 2π × (J - 2451545.0) / 36525.0;

[0058] (2451545.0 is Julian Day at noon on January 1, 2000, and 36525 is the number of days in a 100-year tropical year.)

[0059] Solar longitude (L, degrees):

[0060] L = (280.46646 + 36000.76983×g + 0.0003032×g²) % 360;

[0061] If L < 0, then L = L + 360;

[0062] Note: The ecliptic longitude ranges from 0 to 360°, approximately 0° at the vernal equinox and approximately 90° at the summer solstice;

[0063] Step 3: Calculate the solar declination (δ)

[0064] The solar declination is the latitude (in radians) of the point where the sun is directly overhead. First, calculate the obliquity of the ecliptic (ε, in radians): ε = 23.4392778° (approximately 23°26′21.448″).

[0065] ε_rad = ε × π / 180;

[0066] Solar declination formula:

[0067] L_rad = L × π / 180 (convert ecliptic longitude to radians);

[0068] δ= arcsin( sin(ε_rad) × sin(L_rad) );

[0069] Note: Declination varies with the seasons, ranging from approximately +23.5° in summer to approximately -23.5° in winter;

[0070] Step 4: Calculate the sunrise and sunset angles (H)

[0071] The hour angle is the angle (in radians) of the sun relative to the local meridian.

[0072] φ_rad = φ ×π / 180 (convert the latitude φ of the target area to radians);

[0073] h0_rad = -6°×π / 180 (Convert civil elevation angle to radians);

[0074] cos(H) = [ sin(h0_rad) - sin(φ_rad)×sin(δ) ] / [ cos(φ_rad)×cos(δ) ];

[0075] If |cos(H)|>1:

[0076] - cos(H)>1 → Polar night (no sunrise);

[0077] - cos(H)<-1 → Polar day (no sunset);

[0078] otherwise:

[0079] H = arccos(cos(H)) (absolute value of hour angle);

[0080] Note: Sunrise angle is -H (east), sunset angle is +H (west), 1 hour corresponds to 15°;

[0081] Step 5: Calculate Local True Solar Time (TST)

[0082] Time difference (E, minutes):

[0083] E = 229.18×[0.000075 + 0.001868×cos(g) - 0.032077×sin(g) -0.014615×cos(2g) - 0.040849×sin(2g)];

[0084] Local mean solar time (LST, hour):

[0085] LST = (J - 0.5 - floor(J - 0.5)) × 24;

[0086] Local True Solar Time (TST, hours):

[0087] TST = LST + E / 60 +λ / 15 (λ / 15 is the time difference for longitude conversion);

[0088] Step 6: Calculate the local time of sunrise and sunset

[0089] Sunrise time (hours): Sunrise time = (12 - H×(180 / π) / 15 - TST) % 24;

[0090] Sunset time (hours): Sunset time = (12 + H×(180 / π) / 15 - TST) % 24;

[0091] Note: The result is a decimal (e.g., 6.25 = 6 hours and 15 minutes). Multiply the decimal part by 60 to convert it to minutes.

[0092] Step 7: Convert to the target time zone (e.g., Beijing time)

[0093] For example, using UTC+8 (120°E):

[0094] Beijing time = Local time + (120 - λ) / 15;

[0095] Step 8: Convert sunrise and sunset times to data indices

[0096] The data index represents the time window number, for example, sunrise time 06:52 and sunset time 17:19:

[0097] The data index for sunrise time is 27, and the data index for sunset time is 69. When the data index is less than 27 or greater than 69, the photovoltaic system does not generate electricity, and all energy storage charging comes from the grid.

[0098] S1022: Obtain the actual power generation of the photovoltaic power station within multiple time windows on this historical date, and the equipment operation status of the energy storage power station within multiple time windows. Based on the actual power generation of the photovoltaic power station and the equipment operation status of the energy storage power station, correct the theoretical power generation period of the photovoltaic power station to obtain the effective power generation period of the photovoltaic power station.

[0099] In this embodiment, considering that the solar position astronomical algorithm only determines the power generation period based on the solar position, but whether the photovoltaic power generation can actually generate electricity and charge the energy storage depends first on the actual power generation of the photovoltaic power station. For example, meteorological factors such as cloudy and rainy days, fog, haze or sandstorms will cause the photovoltaic output to be 0 during the theoretical power generation period, thus causing the theoretical power generation period of the photovoltaic power station to be inconsistent with the actual power generation period.

[0100] Meanwhile, the photovoltaic absorption volume statistics refer to the amount of electricity absorbed by the energy storage power station from the photovoltaic power station. This process not only depends on the output of the photovoltaic power station, but is also constrained by the status of the energy storage power station's own equipment. If the energy storage power station is in a fault, maintenance, battery full capacity, or charging unit shutdown condition, even if the photovoltaic power station has output, it cannot complete the charging, and there is no actual photovoltaic absorption volume during that period.

[0101] Therefore, based on the theoretical photovoltaic power generation period, this embodiment modifies the theoretical photovoltaic power generation period according to the actual power generation of the photovoltaic power station and the operating conditions of the energy storage power station. For example, it removes the periods when the actual power generation is zero and the periods when the energy storage equipment fails and cannot participate in energy interaction, thus obtaining the effective photovoltaic power generation period.

[0102] S1023: During the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined based on the grid power and energy storage charging capacity in each time window; outside the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined to be zero.

[0103] In this embodiment, during the effective photovoltaic power generation period, the actual power consumption in each time window can be calculated based on the calculation relationship between grid power, energy storage charging, and photovoltaic absorption. Outside the effective photovoltaic power generation period, the photovoltaic absorption of the corresponding time window is directly determined to be zero.

[0104] As can be seen from the above, this embodiment no longer uses the traditional method of calculating photovoltaic absorption capacity based solely on photovoltaic power generation data. First, it determines the theoretical photovoltaic power generation period for each historical date based on a preset solar position astronomical algorithm. Then, it corrects the theoretical photovoltaic power generation period based on the actual power generation of the photovoltaic power station and the operating conditions of the energy storage power station to obtain the effective photovoltaic power generation period.

[0105] Based on this, during the effective photovoltaic power generation period, the actual power consumption in each time window is calculated by back-calculating the relationship between grid power, energy storage charging, and photovoltaic absorption. Outside the effective photovoltaic power generation period, the photovoltaic absorption of the corresponding time window is directly determined to be zero.

[0106] Using the method in this embodiment, there is no need to count the dispersed photovoltaic power generation, thus enabling accurate statistics on photovoltaic consumption, which is beneficial for the refined management of industrial and commercial photovoltaic and energy storage systems.

[0107] In one embodiment of this application, for each time window, the photovoltaic absorption capacity within that time window is determined based on the grid power and energy storage charging capacity within that time window, including:

[0108] If the grid power is less than zero within the time window, then the energy storage charging amount within the time window is determined as the photovoltaic absorption amount within the time window.

[0109] If the grid power consumption within the time window is greater than or equal to the energy storage charging amount, or if the energy storage charging amount within the time window is zero, then the photovoltaic absorption amount within the time window is determined to be zero.

[0110] If the grid power supply is less than the energy storage charging capacity within the time window, the difference between the energy storage charging capacity and the grid power supply within the time window shall be determined as the photovoltaic absorption capacity within the time window.

[0111] In this embodiment, when the grid power is negative, it indicates that the photovoltaic-storage system is in a state of supplying power to the grid. The photovoltaic power station's output, after meeting the needs of energy storage charging, has all surplus power fed into the grid. At this time, the energy for energy storage charging comes entirely from the output of the photovoltaic power station, without any grid power purchase; therefore, the amount of energy stored charging is equivalent to the photovoltaic power consumption.

[0112] If the grid power is greater than or equal to the energy storage charging amount, it means that part of the power input from the grid is used for energy storage charging, and the remainder is directly supplied to the user load. The photovoltaic power station will inevitably have no surplus power available for energy storage consumption. The energy storage charging amount comes entirely from the grid purchase, and no photovoltaic power participates in the consumption. If the energy storage charging amount is equal to 0, it means that the energy storage power station has not performed a charging operation. The output of the photovoltaic power station is either entirely transmitted to the grid or there is no output. There is no energy storage to consume the photovoltaic power, so the photovoltaic consumption amount is judged to be zero.

[0113] When the grid power is positive, it indicates that the photovoltaic-storage system purchases electricity from the grid. At the same time, if the grid power is less than the energy storage charging amount, it means that the energy storage charging amount consists of two parts: "grid power purchase + photovoltaic power output". The grid power is deducted from the total energy storage charging amount, and the remaining difference is the amount of electricity actually absorbed by the photovoltaic power station by the energy storage.

[0114] As can be seen from the above, this embodiment can accurately calculate the photovoltaic absorption capacity by comparing the positive and negative values ​​of the grid power and the values ​​of the grid power and the energy storage charging capacity.

[0115] In one embodiment of this application, the operating conditions of the energy storage power station include the equipment operating status, the capacity of the energy storage battery, and the minimum charging power of the energy storage power station;

[0116] Based on the actual power generation of the photovoltaic power station and the operating conditions of the energy storage power station, the theoretical power generation period of photovoltaic power is corrected to obtain the effective power generation period of photovoltaic power, including:

[0117] The first candidate time period is obtained by deleting the time windows in which the actual power generation is less than the preset power generation threshold from the theoretical power generation period of photovoltaics.

[0118] The first constraint is that the equipment is in normal operating condition; the second constraint is that the energy storage battery capacity is within a preset capacity range; and the third constraint is that the actual power generation of the photovoltaic power station is greater than the minimum charging power of the energy storage power station. The time windows in the first candidate time period are filtered to obtain the second candidate time period.

[0119] The effective photovoltaic power generation period is determined based on the second candidate time period.

[0120] In this embodiment, by pre-setting a power generation threshold, periods with no effective power output can be eliminated from the theoretical photovoltaic power generation period, thus achieving a coarse screening of the theoretical photovoltaic power generation period. For example, 5% of the rated installed capacity of the photovoltaic power station can be taken as the power generation threshold (i.e., the minimum effective output threshold). For instance, if the theoretical photovoltaic power generation period is 6:00 to 18:00, and the photovoltaic output is <5% from 6:00 to 7:00 after sunrise and <5% from 17:00 to 18:00 before sunset, then the first candidate period after coarse screening is 7:00 to 17:00.

[0121] Furthermore, a triple constraint can be introduced to further filter the first candidate time period. The first constraint is that the energy storage power station equipment is operating normally. Based on this constraint, time windows where charging cannot be performed due to energy storage failures, maintenance, or standby can be eliminated, ensuring that the energy storage has the hardware foundation for charging. The second constraint is that the energy storage battery capacity is within a preset capacity range (e.g., battery SOC between 5% and 95%). If the battery is fully charged (SOC reaches its upper limit), charging cannot continue, and such time windows must be eliminated to ensure that the energy storage has sufficient capacity for charging. The third constraint is that the actual photovoltaic power generation is greater than the minimum charging power of the energy storage. If the photovoltaic output is too low, the energy storage cannot charge stably, and such windows must also be eliminated to ensure that the photovoltaic output matches the energy storage charging power requirements.

[0122] The time window that satisfies the above three constraints is retained to form a second candidate time period. The second candidate time period can be used as the effective photovoltaic power generation time period, or the effective photovoltaic power generation time period can be further screened based on the second candidate time period, as detailed in the following embodiments.

[0123] As can be seen from the above, this embodiment first eliminates time windows with no effective output based on the actual power generation of the photovoltaic power station, and then eliminates time windows where charging is not possible based on the equipment operating conditions of the energy storage power station. This achieves the synergistic constraint of "photovoltaics-energy storage", solves the pain point of the traditional method of "relying solely on astronomical algorithms to define time periods, which is out of sync with actual operating conditions", and ensures that the finally determined effective power generation period conforms to the actual operating conditions of the photovoltaic-energy storage system, thereby facilitating the accurate calculation of photovoltaic consumption.

[0124] In one embodiment of this application, determining the effective photovoltaic power generation period based on a second candidate time period includes:

[0125] Obtain the load power of the photovoltaic-storage system within multiple time windows;

[0126] The remaining power in each time window is determined based on the actual photovoltaic power generation and load power within each time window;

[0127] Using the condition that the corresponding remaining power is greater than the minimum charging power of the energy storage station as the screening criterion, multiple time windows in the second candidate period are screened to obtain the effective photovoltaic power generation period.

[0128] In this embodiment, the electricity generated by the photovoltaic power station is preferentially used for load power supply. Only when the actual photovoltaic power generation exceeds the load power will it be connected to the grid or used to charge the energy storage power station. Accordingly, the remaining power can be calculated based on the load power of the photovoltaic-storage system within each time window of the second candidate period, combined with the actual photovoltaic power generation in the corresponding time window, using the energy balance formula:

[0129] ;

[0130] in, Indicates the remaining power. Indicates the actual power generation of photovoltaic power. This indicates the load power.

[0131] For each target time window, when When the power output is greater than the minimum charging power of the energy storage station, it indicates that the photovoltaic power station has surplus power to charge the energy storage, and this time window is retained; when... When the charging power is less than or equal to the minimum charging power of the energy storage power station, the time window is removed from the second candidate time period, and the effective photovoltaic power generation time period is finally obtained.

[0132] As can be seen from the above, this embodiment, by constraining the amount of remaining power, can eliminate invalid periods where "the photovoltaic power station has output but is completely consumed by the load," ensuring that the final effective power generation period is a period where "photovoltaics can generate electricity, energy storage can charge, and photovoltaics have surplus power," thus providing an accurate data basis for the subsequent calculation of photovoltaic consumption.

[0133] In one embodiment of this application, the energy storage power station data processing method further includes:

[0134] Determine the photovoltaic consumption within multiple time windows corresponding to multiple historical dates;

[0135] For each time window, calculate the cumulative value of photovoltaic power consumption for multiple historical dates within that time window;

[0136] Based on the cumulative value corresponding to each time window and the sum of photovoltaic consumption on multiple historical dates, the proportion of photovoltaic consumption corresponding to each time window is determined.

[0137] Multiple time windows with a corresponding photovoltaic consumption ratio greater than a preset ratio threshold are selected as multiple target time windows;

[0138] For each target time window corresponding to the current date, the remaining power within that target time window is determined based on the actual photovoltaic power generation and load power within that target time window. If the remaining power within that target time window is less than a preset absorption power threshold, charging of the energy storage station is stopped. If the remaining power within that target time window is greater than or equal to the preset absorption power threshold, the energy storage station is charged according to the target charging power. The target charging power is the minimum power between the remaining power within that target time window and the rated charging power of the energy storage station.

[0139] In this embodiment, the temporal distribution of photovoltaic (PV) power consumption exhibits a regularity, with a high proportion of consumption occurring during midday. By statistically analyzing consumption data from multiple historical dates, the PV consumption within the same time window for each historical date is accumulated to obtain the accumulated value for each time window. Dividing the accumulated value for each time window by the sum of PV consumption from multiple historical dates yields the proportion of PV consumption for each time window, thus quantifying the PV consumption potential of each time window. Target time windows with a PV consumption proportion exceeding a preset threshold are selected. These target time windows represent periods within a historical cycle where there is abundant surplus PV power and high energy storage charging value. The threshold is a preset constant; those skilled in the art can set specific values ​​for the threshold according to actual needs, such as 1.5% or 2%.

[0140] Within the target time window, the actual photovoltaic power generation and load power can be collected in real time to calculate the remaining power within the target time window, and the energy storage charging power can be dynamically adjusted based on the remaining power. Specifically, a power absorption threshold can be preset. When the remaining power within the target time window is less than the preset power absorption threshold, it indicates that the surplus photovoltaic power is insufficient to support the efficient and stable charging of the energy storage station. If the energy storage charging is forcibly started, it will cause the energy storage to operate in a low-power and inefficient state, increasing equipment start-up and shutdown losses and energy consumption. Therefore, when the remaining power within the target time window is less than the preset power absorption threshold, the charging operation of the photovoltaic power station to the energy storage station can be stopped to avoid ineffective operation of the energy storage.

[0141] If the remaining power within the target time window is greater than or equal to the preset power absorption threshold, it indicates that the photovoltaic power station has sufficient surplus photovoltaic power and is well-suited for energy storage charging. Charging the energy storage station at the target charging power maximizes the absorption of surplus photovoltaic power, reduces curtailment losses, and ensures efficient energy storage operation. The target charging power is the smaller of the remaining power within the time window and the rated charging power of the energy storage station. This allows for charging at the highest possible power while ensuring charging safety, thereby improving charging efficiency and the overall economic viability of the photovoltaic-energy storage system.

[0142] It should be noted that during the charging process described above, the current SOC of the energy storage battery must be monitored in real time to avoid overcharging. When the SOC reaches the preset upper limit (e.g., 95%), even if the remaining power meets the threshold requirements, charging must be stopped or the charging power reduced to float charging power to prevent battery life degradation or thermal runaway risks.

[0143] As can be seen from the above, this embodiment selects target time windows with high energy storage charging value based on the historical consumption ratio, allowing energy storage charging to focus on the period when the surplus photovoltaic power is most concentrated; at the same time, the charging power is dynamically adjusted based on the real-time remaining power, which can maximize the consumption of surplus photovoltaic power, reduce curtailment losses, and reduce the ineffective start-stop losses of energy storage during low consumption periods.

[0144] In one embodiment of this application, the method for determining the preset power absorption threshold includes:

[0145] The peak photovoltaic absorption rate is determined based on the photovoltaic absorption rate within multiple time windows corresponding to multiple historical dates.

[0146] The preset power absorption threshold is determined based on the peak photovoltaic absorption capacity and the preset proportional coefficient.

[0147] In this embodiment, the maximum value of photovoltaic (PV) absorption within multiple time windows across multiple historical dates can be extracted as the PV absorption peak value. Using this peak value as a base, a preset scaling factor is multiplied to obtain a preset absorption power threshold. This method allows the setting of the absorption power threshold to better align with the actual PV absorption potential and energy storage operating conditions, thereby achieving efficient operation of energy storage charging.

[0148] In one embodiment of this application, the method for determining the preset scaling factor includes:

[0149] Obtain the operating mode of the energy storage power station;

[0150] If the working mode is to maximize the photovoltaic absorption rate, set the preset proportional coefficient to the first value;

[0151] If the working mode is the mode that maximizes energy storage efficiency, set the preset proportional coefficient to the second value;

[0152] The first value is less than the second value.

[0153] In this embodiment, two operating modes of the energy storage power station can be preset in the controller of the photovoltaic-energy storage system, which can be selected by the staff according to actual needs. In the mode of maximizing photovoltaic absorption rate, a smaller proportional coefficient (a first value, such as 0.4) can be set to allow the energy storage power station to start charging during periods of low to medium surplus power, so as to absorb as much surplus photovoltaic power as possible and reduce curtailment losses. In the mode of maximizing energy storage efficiency, a larger proportional coefficient (a second value, such as 0.6) can be set to allow the energy storage power station to start charging only during periods of high surplus power, so as to improve the operating efficiency of the energy storage equipment and reduce start-up and shutdown losses caused by low-power charging.

[0154] Based on the same inventive concept, this application also provides an energy storage power station data processing device for implementing the above-mentioned energy storage power station data processing method. This device is installed in the controller of a photovoltaic-energy storage system. The photovoltaic-energy storage system also includes a photovoltaic power station and an energy storage power station, both of which are communicatively connected to the controller. The photovoltaic power station and the energy storage power station are respectively connected to the power grid. The solution provided by this device is similar to the solution described in the above-described method. Therefore, the specific limitations in one or more energy storage power station data processing device embodiments provided below can be found in the limitations of the energy storage power station data processing method described above, and will not be repeated here.

[0155] This application provides a data processing device for an energy storage power station, such as... Figure 3 As shown, the data processing device 20 of the energy storage power station includes: a data acquisition module 21 and a data calculation module 22.

[0156] The data acquisition module 21 is used to acquire statistical data of the energy storage power station within multiple time windows on each historical date; the statistical data includes the energy storage charging amount and the grid power on the grid incoming side of the energy storage power station;

[0157] The data calculation module 22 is used to perform photovoltaic consumption calculation operations for each historical date based on statistical data within multiple time windows of that historical date, so as to obtain the photovoltaic consumption within multiple time windows of that historical date;

[0158] Specifically, when performing the photovoltaic power consumption calculation operation for each historical date, the data calculation module is used for:

[0159] The solar position astronomical algorithm is used to calculate the theoretical photovoltaic power generation period for the target area on this historical date; the target area is the region where the photovoltaic power station is located.

[0160] The actual power generation of the photovoltaic power station within multiple time windows on a historical date, and the equipment operation status of the energy storage power station within multiple time windows, are obtained. Based on the actual power generation of the photovoltaic power station and the equipment operation status of the energy storage power station, the theoretical power generation period of the photovoltaic power station is corrected to obtain the effective power generation period of the photovoltaic power station.

[0161] During the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined based on the grid power and energy storage charging capacity within each time window; outside the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined to be zero.

[0162] In one embodiment of this application, the data calculation module 22 is specifically used for:

[0163] If the grid power is less than zero within the time window, then the energy storage charging amount within the time window is determined as the photovoltaic absorption amount within the time window.

[0164] If the grid power consumption within the time window is greater than or equal to the energy storage charging amount, or if the energy storage charging amount within the time window is zero, then the photovoltaic absorption amount within the time window is determined to be zero.

[0165] If the grid power supply is less than the energy storage charging capacity within the time window, the difference between the energy storage charging capacity and the grid power supply within the time window shall be determined as the photovoltaic absorption capacity within the time window.

[0166] In one embodiment of this application, the operating conditions of the energy storage power station include the equipment operating status, the energy storage battery capacity, and the minimum charging power of the energy storage power station; the data calculation module is specifically used for:

[0167] The first candidate time period is obtained by deleting the time windows in which the actual power generation is less than the preset power generation threshold from the theoretical power generation period of photovoltaics.

[0168] The first constraint is that the equipment is in normal operating condition; the second constraint is that the energy storage battery capacity is within a preset capacity range; and the third constraint is that the actual power generation of the photovoltaic power station is greater than the minimum charging power of the energy storage power station. The time windows in the first candidate time period are filtered to obtain the second candidate time period.

[0169] The effective photovoltaic power generation period is determined based on the second candidate time period.

[0170] In one embodiment of this application, the data calculation module 22 is further configured to:

[0171] Obtain the load power of the photovoltaic-storage system within multiple time windows;

[0172] The remaining power in each time window is determined based on the actual photovoltaic power generation and load power within each time window;

[0173] Using the condition that the corresponding remaining power is greater than the minimum charging power of the energy storage station as the screening criterion, multiple time windows in the second candidate period are screened to obtain the effective photovoltaic power generation period.

[0174] In one embodiment of this application, the data calculation module 22 is further configured to:

[0175] Determine the photovoltaic consumption within multiple time windows corresponding to multiple historical dates;

[0176] For each time window, calculate the cumulative value of photovoltaic power consumption for multiple historical dates within that time window;

[0177] Based on the cumulative value corresponding to each time window and the sum of photovoltaic consumption on multiple historical dates, the proportion of photovoltaic consumption corresponding to each time window is determined.

[0178] Multiple time windows with a corresponding photovoltaic consumption ratio greater than a preset ratio threshold are selected as multiple target time windows;

[0179] For each target time window corresponding to the current date, the remaining power within that target time window is determined based on the actual photovoltaic power generation and load power within that target time window. If the remaining power within that target time window is less than a preset absorption power threshold, charging of the energy storage station is stopped. If the remaining power within that target time window is greater than or equal to the preset absorption power threshold, the energy storage station is charged according to the target charging power. The target charging power is the minimum power between the remaining power within that target time window and the rated charging power of the energy storage station.

[0180] In one embodiment of this application, the data calculation module 22 is further configured to:

[0181] The peak photovoltaic absorption rate is determined based on the photovoltaic absorption rate within multiple time windows corresponding to multiple historical dates.

[0182] The preset power absorption threshold is determined based on the peak photovoltaic absorption capacity and the preset proportional coefficient.

[0183] In one embodiment of this application, the data calculation module 22 is further configured to:

[0184] Obtain the operating mode of the energy storage power station;

[0185] If the working mode is to maximize the photovoltaic absorption rate, set the preset proportional coefficient to the first value;

[0186] If the working mode is the mode that maximizes energy storage efficiency, set the preset proportional coefficient to the second value;

[0187] The first value is less than the second value.

[0188] 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 each module / unit in the above-described device embodiments, for example... Figure 3 The functions of the data acquisition module 21 and the data calculation module 22 shown are illustrated.

[0189] It should be understood that, in the embodiments of this application, the processor 301 may be a central processing unit (CPU), but it may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), 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.

[0190] Input device 302 may include a touchpad, a fingerprint sensor (for collecting the user's fingerprint information and fingerprint orientation information), a microphone, etc., and output device 303 may include a display (LCD, etc.), a speaker, etc.

[0191] The memory 304 may include read-only memory and random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store preset constants such as power thresholds and percentage thresholds.

[0192] In specific implementations, the processor 301, input device 302, and output device 303 described in the embodiments of this application can execute the implementation method described in the energy storage power station data processing method provided in the embodiments of this application, or they can execute the implementation method of the electronic device described in the embodiments of this application, which will not be repeated here.

[0193] In another embodiment of this application, a computer-readable storage medium is provided. This computer-readable storage medium stores a computer program, which includes program instructions. When executed by a processor, the program instructions implement all or part of the processes in the methods described above. Alternatively, the computer program can instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include any entity or device capable of carrying computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0194] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the foregoing 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, smart media card (SMC), secure digital card (SD), flash card, etc., provided on the electronic device. Furthermore, the computer-readable storage medium can include both internal and external storage units of the electronic 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 will be output.

[0195] Those skilled in the art will recognize that the modules / units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0196] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the electronic devices and units described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0197] 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 illustrative. For instance, the division of modules / units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules, units, or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces or modules / units, or it may be an electrical, mechanical, or other form of connection.

[0198] The modules / units described as separate components may or may not be physically separate. Similarly, the components shown as modules / units may or may not be physical modules / units; they may be located in one place or distributed across multiple network modules / units. Some or all of the modules / units can be selected to achieve the purpose of the embodiments of this application, depending on actual needs.

[0199] Furthermore, the functional modules / units in the various embodiments of this application can be integrated into one processing module / unit, or each module / unit can exist physically separately, or two or more modules / units can be integrated into one module / unit. The integrated modules / units described above can be implemented in hardware or in the form of software functional modules / units.

[0200] The above are merely specific embodiments of this application, but the scope of protection of this 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 these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A data processing method for an energy storage power station, applied to a photovoltaic-energy storage system, wherein the photovoltaic-energy storage system includes a photovoltaic power station and an energy storage power station, both communicatively connected to a controller, and the photovoltaic power station and the energy storage power station are respectively connected to the power grid, characterized in that, The method is executed by the controller of the optical storage system, and the method includes: Obtain statistical data for the energy storage power station within multiple time windows on each historical date; the statistical data includes the energy storage charging amount and the grid power on the grid incoming side of the energy storage power station; For each historical date, the photovoltaic (PV) grid connection consumption is calculated based on statistical data within multiple time windows of that historical date, resulting in the PV grid connection consumption within those multiple time windows. Specifically, for each historical date, the photovoltaic power consumption calculation operation includes: The solar position astronomical algorithm is used to calculate the theoretical photovoltaic power generation period of the target area on this historical date; the target area is the area where the photovoltaic power station is located. The actual power generation of the photovoltaic power station within multiple time windows on a historical date, and the equipment operating conditions of the energy storage power station within multiple time windows, are obtained. Based on the actual power generation of the photovoltaic power station and the equipment operating conditions of the energy storage power station, the theoretical power generation period of the photovoltaic power station is corrected to obtain the effective power generation period of the photovoltaic power station. During the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined based on the grid power and energy storage charging capacity in each time window; outside the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined to be zero. The operating conditions of the energy storage power station include the equipment operating status, the capacity of the energy storage battery, and the minimum charging power of the energy storage power station. The process of correcting the theoretical photovoltaic power generation period based on the actual power generation of the photovoltaic power station and the operating conditions of the energy storage power station to obtain the effective photovoltaic power generation period includes: The first candidate time period is obtained by deleting the time window corresponding to the actual power generation being less than the preset power generation threshold from the theoretical photovoltaic power generation time period; The first constraint is that the device is in normal operating condition; the second constraint is that the energy storage battery capacity is within a preset capacity range; and the third constraint is that the actual power generation of the photovoltaic power station is greater than the minimum charging power of the energy storage power station. The time windows in the first candidate time period are then filtered to obtain the second candidate time period. The effective photovoltaic power generation period is determined based on the second candidate time period.

2. The data processing method for an energy storage power station as described in claim 1, characterized in that, For each time window, the photovoltaic (PV) consumption within that time window is determined based on the grid power and energy storage charging volume, including: If the grid power is less than zero within the time window, then the energy storage charging amount within the time window is determined as the photovoltaic absorption amount within the time window. If the grid power consumption within the time window is greater than or equal to the energy storage charging amount, or if the energy storage charging amount within the time window is zero, then the photovoltaic absorption amount within the time window is determined to be zero. If the grid power supply is less than the energy storage charging capacity within the time window, the difference between the energy storage charging capacity and the grid power supply within the time window shall be determined as the photovoltaic absorption capacity within the time window.

3. The data processing method for an energy storage power station as described in claim 1, characterized in that, The step of determining the effective photovoltaic power generation period based on the second candidate period includes: Obtain the load power of the photovoltaic energy storage system within multiple time windows; The remaining power in each time window is determined based on the actual photovoltaic power generation and load power within each time window; Using the condition that the corresponding remaining power is greater than the minimum charging power of the energy storage station as a screening criterion, multiple time windows in the second candidate time period are screened to obtain the effective photovoltaic power generation time period.

4. The data processing method for an energy storage power station as described in claim 1, characterized in that, Also includes: Determine the photovoltaic consumption within multiple time windows corresponding to multiple historical dates; For each time window, calculate the cumulative value of the photovoltaic absorption capacity for multiple historical dates within that time window; Based on the cumulative value corresponding to each time window and the sum of the photovoltaic consumption of multiple historical dates, the proportion of photovoltaic consumption corresponding to each time window is determined; Multiple time windows with a corresponding photovoltaic consumption ratio greater than a preset ratio threshold are selected as multiple target time windows; For each target time window corresponding to the current date, the remaining power within that target time window is determined based on the actual photovoltaic power generation and load power within that target time window. If the remaining power within that target time window is less than a preset absorption power threshold, charging of the energy storage station is stopped. If the remaining power within that target time window is greater than or equal to the preset absorption power threshold, the energy storage station is charged according to the target charging power. The target charging power is the minimum power between the remaining power within that target time window and the rated charging power of the energy storage station.

5. The data processing method for an energy storage power station as described in claim 4, characterized in that, The method for determining the preset power absorption threshold includes: The peak photovoltaic absorption rate is determined based on the photovoltaic absorption amount within multiple time windows corresponding to multiple historical dates. The preset power absorption threshold is determined based on the photovoltaic absorption peak value and the preset proportional coefficient.

6. The data processing method for an energy storage power station as described in claim 5, characterized in that, The method for determining the preset proportional coefficient includes: Obtain the operating mode of the energy storage power station; If the working mode is the mode of maximizing photovoltaic absorption rate, the preset proportional coefficient is set to the first value; If the working mode is the mode that maximizes energy storage efficiency, the preset proportional coefficient is set to the second value; Wherein, the first value is less than the second value.

7. A data processing device for an energy storage power station, disposed in a controller of a photovoltaic-energy storage system, wherein the photovoltaic-energy storage system further includes a photovoltaic power station and an energy storage power station, both communicatively connected to the controller, and the photovoltaic power station and the energy storage power station are respectively connected to the power grid, characterized in that, The device includes: The data acquisition module is used to acquire statistical data of the energy storage power station within multiple time windows on each historical date; the statistical data includes the energy storage charging amount and the grid power on the grid incoming side of the energy storage power station; The data calculation module is used to perform photovoltaic power consumption calculation operations for each historical date based on statistical data within multiple time windows of that historical date, and obtain the photovoltaic power consumption within multiple time windows of that historical date; Specifically, when performing the photovoltaic power consumption calculation operation for each historical date, the data calculation module is used for: The solar position astronomical algorithm is used to calculate the theoretical photovoltaic power generation period of the target area on this historical date; the target area is the area where the photovoltaic power station is located. The actual power generation of the photovoltaic power station within multiple time windows on a historical date, and the equipment operating conditions of the energy storage power station within multiple time windows, are obtained. Based on the actual power generation of the photovoltaic power station and the equipment operating conditions of the energy storage power station, the theoretical power generation period of the photovoltaic power station is corrected to obtain the effective power generation period of the photovoltaic power station. During the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined based on the grid power and energy storage charging capacity in each time window; outside the effective photovoltaic power generation period, the photovoltaic absorption capacity in each time window is determined to be zero. The operating conditions of the energy storage power station include the equipment operating status, the capacity of the energy storage battery, and the minimum charging power of the energy storage power station. The process of correcting the theoretical photovoltaic power generation period based on the actual power generation of the photovoltaic power station and the operating conditions of the energy storage power station to obtain the effective photovoltaic power generation period includes: The first candidate time period is obtained by deleting the time window corresponding to the actual power generation being less than the preset power generation threshold from the theoretical photovoltaic power generation time period; The first constraint is that the device is in normal operating condition; the second constraint is that the energy storage battery capacity is within a preset capacity range; and the third constraint is that the actual power generation of the photovoltaic power station is greater than the minimum charging power of the energy storage power station. The time windows in the first candidate time period are then filtered to obtain the second candidate time period. The effective photovoltaic power generation period is determined based on the second candidate time period.

8. 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, it implements the steps of the method as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 6.

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