Distributed energy storage dynamic power adjusting method and system

Abstract

The invention discloses a distributed energy storage dynamic power regulation method and system. The method comprises the following steps: determining a first type of correction value, a second type of correction value and a third type of correction value of energy storage power in each time period; in an energy storage operation scene determined based on the power regulation margin, taking the sum of various correction values meeting constraint conditions as correction power; if the reference power does not conflict with the correction power, taking the first type of correction value as a power regulation value when the transformer is not overloaded and energy storage overcharge protection is triggered, and taking the third type of correction value as the power regulation value when the transformer is not overloaded and energy storage overdischarge protection is triggered; the stored energy is charged and discharged normally, and if the overload protection of the trigger transformer has a conflict between the reference power and the correction power, a second type of correction value is taken as a power regulation value; energy storage overcharge and overdischarge protection is not triggered, transformer overload protection is not triggered, and a power adjustment value is determined according to the conflict condition of the reference power and the correction power. The problems of single adjustment dimension, response lag, insufficient equipment protection and low new energy consumption efficiency in the prior art are solved.

Description

Technical Field

[0001] This invention belongs to the field of power control technology for energy storage systems, and specifically relates to a method and system for real-time and precise adjustment of charging and discharging power of distributed energy storage systems based on a dual-track control system of "preset benchmark + dynamic adjustment" applicable to smart grid scenarios with new energy access. Background Technology

[0002] In recent years, with the large-scale integration of new energy sources such as photovoltaic power generation and wind power generation, distributed energy storage systems, as a key technology for solving the intermittency and volatility problems of new energy power generation, have been increasingly widely used in power systems.

[0003] In existing technologies, power regulation schemes for distributed energy storage systems mainly revolve around time-scale hierarchical scheduling. Based on a cloud-edge collaborative distributed energy storage hierarchical optimization operation method and system, a system scheduling model is established, combining day-ahead and intraday optimization scheduling schemes. A multi-objective ant colony algorithm is used to solve for the optimal scheduling strategy, achieving energy storage power allocation at different time scales. However, existing technologies still reveal the following significant shortcomings in practical applications: 1) Existing technologies rely solely on load forecasting, failing to integrate multi-dimensional data such as photovoltaic power, transformer load, and SOC, resulting in a single regulation dimension; 2) Existing technologies rely on real-time feedback regulation, unable to cope with instantaneous fluctuations in new energy sources. Dual-time-scale scheduling is "sequential execution," with power regulation lagging by 8-10 minutes, leading to significant response delays; 3) Existing technologies do not establish a linkage between SOC threshold and power regulation, resulting in high risks of battery overcharging / over-discharging and insufficient equipment protection; 4) Existing technologies result in a photovoltaic absorption rate of only 70% and cannot coordinate multiple factor constraints, leading to low absorption efficiency. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a distributed energy storage dynamic power regulation method and system. It is a real-time and precise power regulation scheme for the charging and discharging power of distributed energy storage systems based on a dual-track regulation system of "preset benchmark + dynamic adjustment". It solves the problems of single regulation dimension, slow response, insufficient equipment protection and low new energy consumption efficiency in existing technologies, and achieves the technical effects of shortening power regulation lag time, improving photovoltaic absorption rate, enhancing grid stability and extending equipment life.

[0005] The present invention adopts the following technical solution.

[0006] This invention proposes a method for dynamic power regulation of distributed energy storage, comprising: Collect historical load data for the distribution area and calculate the benchmark power and power regulation margin of energy storage during peak and valley electricity price periods. The dynamic absorption coefficient is set based on the SOC of the energy storage. The first type of correction value of the energy storage power in each time period is determined by the dynamic absorption coefficient and the excess power of the photovoltaic power source. The second type of correction value of the energy storage power in each time period is determined based on the transformer load. The third type of correction value of the energy storage power in each time period is determined based on the SOC and rated power of the energy storage. The energy storage operation scenario is determined based on the power regulation margin. Under the energy storage operation scenario, the sum of the various correction values ​​in each time period that meet the constraints is taken as the correction power in each time period. Within each time period, if there is no conflict between the base power and the corrected power, and the transformer is not overloaded but the energy storage overcharge protection is triggered, the first type of correction value is used as the power adjustment value; if the transformer is not overloaded but the energy storage over-discharge protection is triggered, the third type of correction value is used as the power adjustment value. When the energy storage is charging or discharging normally, if the transformer overload protection is triggered, regardless of whether there is a conflict between the base power and the corrected power, the second type of correction value is used as the power adjustment value. If neither the energy storage overcharge nor over-discharge protection nor the transformer overload protection is triggered, the power adjustment value is determined according to the conflict between the base power and the corrected power.

[0007] The average load of the same time period t in the historical load data of the transformer area for a set number of days is used as the average load of time period t; the standard deviation of load fluctuation in time period t is calculated using the load and average load in the same time period t in the historical load data of the transformer area for a set number of days. During peak discharge periods, the reference power is 1.2 times the average load of each time period and is a positive value; During off-peak charging periods, the base power is 1.2 times the average load of each time period and is negative; The power regulation margin for each time period is calculated by weighting the average load and the standard deviation of load fluctuation for each time period.

[0008] Dynamic absorption coefficient is set based on the SOC of energy storage. The product of the excess power of the photovoltaic power source and the dynamic absorption coefficient in time period t is used as the first type of correction value for the charging and discharging power of the energy storage in time period t. And when energy storage and charging are required, When energy storage and discharge are required, ; Based on the transformer load, determine the second type of correction value for the charging and discharging power of the energy storage during time period t. ; Based on the SOC of energy storage, a third type of correction value for the charging and discharging power of energy storage in time period t is determined. .

[0009] When SOC>80% The value is 0.3; When SOC < 30% The value is 1; When 30% ≤ SOC ≤ 80%, .

[0010] When the transformer load is no greater than 90% of the transformer rated capacity, the second type correction value of the charge-discharge power = 0; When the transformer supplies power to the load and the load is greater than 90% of the transformer rated capacity, the energy storage switches to the discharge mode, and the second type correction value of the charge-discharge power for the time period t is 0.8 times the overload of the transformer , and indicates energy storage discharge; When the transformer charges the energy storage and the load is greater than 90% of the transformer rated capacity, the energy storage switches to the charge mode, and the second type correction value of the charge-discharge power for the time period t is 50% of the rated power of the energy storage , and indicates energy storage charge; When 5% ≤ SOC < 20%, the third type correction value of the charge-discharge power is no greater than 30% of the rated power of the energy storage, and indicates that energy storage discharge is required; When 20% ≤ SOC ≤ 80%, the third type correction value of the charge-discharge power is 0; When 80% < SOC ≤ 95%, the third type correction value of the charge-discharge power is 10% of the rated power of the energy storage, and indicates that energy storage charge is required; When SOC > 95% or SOC < 5%, the energy storage stops charging and discharging.

[0011] When the power regulation margin is greater than zero, it indicates that energy storage discharge is required in the time period t, and the total correction power of each time period greater than zero and with an absolute value less than the absolute value of the power regulation margin is used as the discharge correction power for the time period t; When the power regulation margin is less than zero, it indicates that energy storage charge is required in the time period t, and the total correction power of each time period less than zero and with an absolute value less than the absolute value of the power regulation margin is used as the charge correction power for the time period t.

[0012] There are conflicts between the reference power and the correction power, including: The reference power is less than zero indicating that energy storage charge is required, and the correction power is greater than zero indicating that energy storage discharge is required; The reference power is greater than zero indicating that energy storage discharge is required, and the correction power is less than zero indicating that energy storage charge is required; There are no conflicts between the reference power and the correction power, including: The reference power is less than zero indicating that energy storage charge is required, and the correction power is less than zero indicating that energy storage charge is required; A reference power greater than zero indicates that energy storage and discharge are required, and a corrected power greater than zero also indicates that energy storage and discharge are required.

[0013] Regardless of whether there is a conflict between the base power and the corrected power, and if the transformer is not overloaded, the energy storage overcharge protection will be triggered if the SOC > 80% during charging. The dynamic absorption coefficient... The value is set to 0.3, and the first type of correction value is used as the power regulation value; when SOC>95% and the reference power is less than zero, the battery management system disconnects the energy storage charging circuit.

[0014] Regardless of whether there is a conflict between the reference power and the corrected power, and the transformer is not overloaded, if the SOC is less than 20% during discharge, the energy storage over-discharge protection will be triggered, and the third type of correction value will be used as the power regulation value; when the SOC is less than 5% and the reference power is greater than zero, the battery management system will disconnect the energy storage discharge circuit.

[0015] When 20% ≤ SOC ≤ 80%, the energy storage is charging normally. If the transformer charges the energy storage and the load exceeds 90% of the transformer's rated capacity, the transformer overload protection is triggered. Regardless of whether there is a conflict between the base power and the corrected power, the second type of correction value will be used. As a power regulation value; When 20% ≤ SOC ≤ 80%, the energy storage discharges normally. If the transformer supplies power to the load and the load exceeds 90% of the transformer's rated capacity, the transformer overload protection is triggered. Regardless of whether there is a conflict between the base power and the corrected power, the second type of correction value is used. As a power regulation value.

[0016] When 20%≤SOC≤80%, neither the overcharge nor over-discharge protection of the energy storage nor the overload protection of the transformer is triggered. If the base power is greater than zero, it indicates that the energy storage needs to be discharged and the corrected power is less than zero, it indicates that the energy storage needs to be charged. Then the energy storage is switched to charging mode, and the power adjustment value is determined based on the dynamic weight. When 20%≤SOC≤80%, neither the overcharge nor over-discharge protection of the energy storage nor the overload protection of the transformer is triggered. If the reference power is less than zero, it indicates that the energy storage needs to be charged, and the corrected power is greater than zero, it indicates that the energy storage needs to be discharged. Then the energy storage switches to the discharge mode and uses the reference power as the power adjustment value.

[0017] Average load over time period t The ratio of the absolute value of the difference from the reference power to the rated power of the energy storage is used as the load deviation coefficient for time period t. ; Using the load deviation coefficient over time period t and the standard deviation of load fluctuation over time period t The weighting coefficients for time period t are obtained by fitting an exponential function. As shown below:

[0018] Using the reference power for each period and the corrected power The weighted sum of is used as the power adjustment value for each period, as follows:

[0019] In the formula, is the power adjustment value for period t.

[0020] When 5% ≤ SOC < 20% or 80% < SOC ≤ 95%, and there is a conflict between the reference power and the corrected power, the third type of corrected value is used as the power adjustment value.

[0021] The present invention also proposes a distributed energy storage dynamic power adjustment system, including: A data processing module, which is used to collect the historical data of the load in the transformer area, calculate the reference power of the energy storage during the peak-valley electricity price period and the power adjustment margin for each period; set a dynamic absorption coefficient based on the SOC of the energy storage, and use the dynamic absorption coefficient and the excess power of the photovoltaic power source to determine the first type of corrected value of the power of the energy storage for each period; determine the second type of corrected value of the power of the energy storage for each period according to the load condition of the transformer; determine the third type of corrected value of the power of the energy storage for each period according to the SOC and the rated power of the energy storage; determine the operation scenario of the energy storage according to the power adjustment margin; in the operation scenario of the energy storage, the sum of various types of corrected values that meet the constraint conditions for each period is used as the corrected power for each period; A power adjustment module, which is used for each period. If there is no conflict between the reference power and the corrected power, and the transformer is not overloaded and the energy storage overcharge protection is triggered, the first type of corrected value is used as the power adjustment value; if the transformer is not overloaded and the energy storage over-discharge protection is triggered, the third type of corrected value is used as the power adjustment value; when the energy storage is charging or discharging normally, if the transformer overload protection is triggered, regardless of whether there is a conflict between the reference power and the corrected power, the second type of corrected value is used as the power adjustment value; when the energy storage overcharge and over-discharge protection is not triggered and the transformer overload protection is not triggered, the power adjustment value is determined according to the conflict situation between the reference power and the corrected power.

[0022] The present invention is also a terminal, including a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the method.

[0023] The present invention is also a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method are implemented.

[0024] The beneficial effects of this invention are as follows, compared with the prior art, at least including the following: The method proposed in this invention uses historical load data of the distribution area to calculate the benchmark power of energy storage during peak and valley electricity price periods and the power adjustment margin of each period, realizing the pre-adjustment of the historical benchmark curve; and uses the SOC of energy storage to set the dynamic absorption coefficient, transformer load conditions, and the SOC of energy storage to determine the first type of correction value, the second type of correction value, and the third type of correction value of energy storage power in each period; determines the energy storage operation scenario according to the power adjustment margin; under the energy storage operation scenario, the sum of various correction values ​​of each period that meet the constraints is used as the correction power of each period, realizing real-time multi-dimensional correction; based on the dual-track mechanism of "historical benchmark curve pre-adjustment + real-time multi-dimensional correction", based on the linkage mechanism of SOC threshold + whether the benchmark power and the correction power conflict, a power adjustment value is generated as the basic control command, giving full play to the millisecond-level dynamic correction capability of real-time data such as photovoltaic power, transformer load, and battery SOC, significantly improving the power adjustment speed; at the same time, on the basis of prioritizing equipment safety, the distributed energy storage dynamic adjustment is executed, improving the overall safety control logic, providing multiple protections for equipment safety from the energy storage control operation dimension, and further improving system safety. Attached Figure Description

[0025] Figure 1 This is a flowchart of a distributed energy storage dynamic power regulation method proposed in this invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this invention.

[0027] This invention proposes a method for dynamic power regulation of distributed energy storage, such as... Figure 1 As shown, it includes: Step 1: Collect historical load data for the distribution area and calculate the base power and power regulation margin of energy storage during peak and valley electricity price periods.

[0028] Specifically, step 1 includes: Step 1.1: Use the average load of the same time period t in the historical load data of the transformer area for a set number of days as the average load of time period t; In this embodiment, load data for the transformer area is collected over 90 days. A 24-hour day is divided into 96 time nodes, each 15 minutes long, forming a historical load dataset. The load data for the same time period t within those 90 days is then analyzed. The average value is used as the average load for time period t. Average load over time period t Historical load data alignment and aggregation were achieved;

[0029] Where, For the first The load over a time period t, where n is the number of days.

[0030] Step 1.2: Calculate the standard deviation of load fluctuation for time period t using the load and average load of the same time period t in the historical load data of the transformer area for a set number of days; Using the load of the same time period t within 90 days and average load Calculate the standard deviation of load fluctuation over time period t. This measures the severity of load fluctuations and provides a basis for reserving adjustment margins.

[0031]

[0032] When calculating the above formula, the dimension of n is not taken into account; only the numerical value of n is taken in order to obtain a physical quantity that can characterize the average load fluctuation level over 90 days. Step 1.3: Calculate the base power for peak-valley electricity price periods using the average load for each time period. ; Based on peak and off-peak electricity pricing periods (e.g., peak period 8:00-22:00, off-peak period 22:00-8:00), the benchmark power is dynamically correlated, including: 1) During peak discharge periods, the reference power is 1.2 times the average load of each time period and is a positive value. The reference power includes a 20% safety margin, and a positive value indicates discharge. 2) During off-peak charging periods, the base power is 1.2 times the average load of each time period and is negative. The base power does not exceed 40% of the rated power of the energy storage system. The base power includes a 20% safety margin. A negative value indicates charging.

[0033] The method proposed in this invention first implements a mechanism for pre-adjustment of the historical reference curve, generating a 24-hour basic control curve with a 20% adjustment margin in advance based on the determined reference power.

[0034] Step 1.4: Calculate the power regulation margin for each time period using the weighted sum of the average load and the standard deviation of load fluctuation for each time period;

[0035] Where, The power regulation margin over time period t. , This is an empirical coefficient, the value of which is adjusted according to the load characteristics of the transformer area. In the example, It is 1.5. It is 0.1; This indicates that energy storage and discharge are required. This indicates that energy storage is needed for charging.

[0036] Step 2: Set the dynamic absorption coefficient based on the SOC of the energy storage; use the dynamic absorption coefficient, the SOC of the energy storage, and the transformer load to determine various correction values ​​for the power of the energy storage in each time period; determine the energy storage operation scenario based on the power regulation margin; under the operation scenario, the sum of various correction values ​​for each time period that meet the constraints is used as the correction power for each time period.

[0037] Specifically, step 2 includes: Step 2.1: Set the dynamic absorption coefficient based on the SOC of energy storage. The excess power of photovoltaic power generation during time period t The product of the dynamic absorption coefficient and the energy storage power is used as the first-type correction value for the charging and discharging power of the energy storage over time period t. Among them, when energy storage and charging are required, When energy storage and discharge are required, .

[0038] in, The following relationship must be satisfied: 1) When SOC > 80%, The value is set to 0.3, which is the first type of correction value for limiting charge and discharge power. It is 30% of the excess power of photovoltaic power, and This indicates that energy storage charging is required to avoid overcharging; 2) When SOC < 30%, The value is 1, which is the first type of correction value for charging and discharging power. This refers to excess power from photovoltaic power sources, indicating that energy storage is needed to fully absorb the excess power from photovoltaic power sources. 3) When 30%≤SOC≤80%, At this time, the first type of correction value for charging and discharging power For excess power of photovoltaic power times, and This indicates that energy storage is needed for charging.

[0039] Step 2.2: Based on the transformer load, determine the second type of correction value for the charging and discharging power of the energy storage during time period t. The details are as follows: 1) When the transformer supplies power to the load and the load does not exceed 90% of the transformer's rated capacity, the second type of correction value for charging and discharging power. =0; 2), when the transformer supplies power to the load and the load is greater than 90% of the rated capacity of the transformer, the energy storage switches to the discharge mode, and the second correction value of the charge-discharge power for the time period t is 0.8 times the overload amount of the transformer. , and It indicates that energy storage discharge is required, and the energy storage releases electrical energy to the load to relieve the pressure on the transformer. 3), when the transformer charges the energy storage and the load is greater than 90% of the rated capacity of the transformer, the energy storage switches to the charge mode, and the second type of correction value of the charge-discharge power for the time period t is 50% of the rated power of the energy storage. , and It indicates that energy storage charging is required to reduce the reverse power impact on the transformer caused by reverse power transmission of photovoltaic power.

[0040] Step 2.3, based on the SOC of the energy storage, determine the third type of correction value of the charge-discharge power of the energy storage for the time period t , specifically as follows: 1), when 5% ≤ SOC < 20%, the third type of correction value of the charge-discharge power is not greater than 30% of the rated power of the energy storage, and it indicates that the energy storage discharges; 2), when 20% ≤ SOC ≤ 80%, normal regulation, the correction value of the charge-discharge power is 0; 3), when 80% < SOC ≤ 95%, the correction value of the charge-discharge power is 10% of the rated power of the energy storage, and it indicates that the energy storage charges; 4), when SOC > 95% or SOC < 5%, the BMS is linked to cut off the non-essential charge-discharge instructions and stop the charge-discharge.

[0041] In step 2.1 and 2.3 proposed by the present invention, the correction values are determined according to the SOC, and these two types of correction values have different functions when determining the correction power.

[0042] Step 2.4, determine the energy storage operation scenario according to the power regulation margin ; in the energy storage operation scenario, take the sum of the correction values of each time period that meet the constraint conditions as the correction power of each time period, specifically as follows: When the power regulation margin is greater than zero, it indicates that energy storage discharge is required in the time period t, and take the sum of the correction powers of each time period that is greater than zero and whose absolute value is less than the absolute value of the power regulation margin as the discharge correction power of the time period t; In the embodiment, it indicates that energy storage discharge is required in the time period t, where is constantly 0 in the discharge scenario, so it is default not to participate in the calculation of the discharge correction power, only , The following constraints must be met: If , Both are greater than 0 and , All less than Then , The sum is used as the discharge correction power for time period t. ;like and / or If the constraint conditions are not met, the correction value is discarded or the correction value is assigned the value of 0, and only the correction values ​​that meet the constraint conditions are summed as the discharge correction power. When the power regulation margin is less than zero, it means that energy storage charging is required in time period t. The sum of the correction power of each time period that is less than zero and whose absolute value is less than the absolute value of the power regulation margin is used as the charging correction power for time period t.

[0043] In the embodiments, This indicates that energy storage and charging are needed during time period t. , , Both are less than 0 and , , All less than Then , , The sum of these values ​​is used as the charging correction power for time period t. If any correction value does not meet the constraint, then the correction value is discarded or assigned the value 0, and only the correction values ​​that meet the constraint are summed as the charging correction power.

[0044] In addition to the SOC of energy storage, this invention also considers the dynamic absorption coefficient. By integrating data from multiple dimensions, including excess power of photovoltaic power sources and transformer load, a dynamic correction mechanism for energy storage charging and discharging power is formed. When the State of Charge (SOC) is between 30% and 80%, the dynamic absorption coefficient achieves a linear adjustment effect on the energy storage discharge power, thereby dynamically correcting the energy storage charging and discharging power according to the transformer load and realizing intelligent allocation of excess power from photovoltaic power sources; when the SOC > 80%, =0.3 to avoid overcharging of energy storage, while SOC < 30% =1 achieves full grid integration, thereby significantly improving photovoltaic grid integration efficiency in conjunction with regional load forecast data. Compared to existing technologies that only adjust based on SOC or load alone, the measured photovoltaic grid integration rate increases from 70% to over 90%.

[0045] Furthermore, this invention implements a dynamic energy storage charging and discharging adjustment strategy based on transformer load. When the transformer load exceeds 90% of its rated capacity, it automatically releases stored energy and switches to charging mode during reverse overload. In the embodiments, by real-time monitoring of the transformer load rate, the transformer load fluctuation rate is reduced from ±15% to ±5%, and the voltage deviation rate is controlled within ±1.5%, ensuring power supply reliability, reducing voltage instability caused by load fluctuations, and enhancing grid stability. In a practical application in a photovoltaic industrial park, after six months of operation, the transformer load fluctuation rate stabilized at ±4.8%, and the voltage deviation rate was controlled within ±1.2%, further verifying this effect.

[0046] Step 3: Within each time period, if there is no conflict between the reference power and the corrected power, and the transformer is not overloaded but the energy storage overcharge protection is triggered, the first type of correction value is used as the power adjustment value; if the transformer is not overloaded but the energy storage over-discharge protection is triggered, the third type of correction value is used as the power adjustment value. When the energy storage is charging or discharging normally, if the transformer overload protection is triggered, regardless of whether there is a conflict between the reference power and the corrected power, the second type of correction value is used as the power adjustment value. If the energy storage overcharge and over-discharge protection is not triggered and the transformer overload protection is not triggered, the power adjustment value is determined according to the conflict between the reference power and the corrected power.

[0047] This invention achieves real-time and precise power control of distributed energy storage systems by using baseline and corrected power for each time period, through conflict handling, weight allocation, and execution feedback. It employs a dual-track control mode of "preset baseline + dynamic correction," where the baseline power curve is generated based on historical load data, and the corrected power is dynamically calculated based on real-time monitoring data. When the two conflict, the priority principle of "equipment safety first > grid stability first > baseline dispatch first" is followed.

[0048] Specifically, step 3 includes: Step 3.1: Determine if there is a conflict between the reference power and the corrected power; There are conflicts between the reference power and the corrected power, including: A reference power less than zero indicates that energy storage charging is needed, while a corrected power greater than zero indicates that energy storage discharging is needed. A reference power greater than zero indicates that energy storage discharge is needed, and a corrected power less than zero indicates that energy storage charging is needed. There is no conflict between the reference power and the corrected power, including: A reference power less than zero indicates that energy storage charging is needed, and a corrected power less than zero also indicates that energy storage charging is needed. A reference power greater than zero indicates that energy storage and discharge are required, and a corrected power greater than zero also indicates that energy storage and discharge are required.

[0049] Step 3.2, within time period t, regardless of whether there is a conflict between the reference power and the corrected power, if the transformer is not overloaded and the energy storage overcharge protection is triggered, and if both the reference power and the corrected power require energy storage charging and the battery management system does not disconnect the charging circuit, then the first type of correction value is used as the power adjustment value. During time period t, regardless of whether there is a conflict between the reference power and the modified power, if the transformer is not overloaded and the energy storage over-discharge protection is triggered, and if both the reference power and the modified power require energy storage discharge and the battery management system does not disconnect the discharge circuit, then the third type of modified value is used as the power adjustment value. Specifically, when the transformer is not overloaded but the energy storage overcharge protection is triggered, if the base power is less than zero indicating that energy storage charging is needed, and the corrected power is less than zero indicating that energy storage charging is needed, then the first type of correction value will be used. As a power regulation value; in this embodiment, if the SOC > 80% during charging, the energy storage overcharge protection is triggered. At this time, the dynamic absorption coefficient The value is 0.3, the first type of correction value. The third type of correction value is 0.3 times the excess power of the photovoltaic power source and requires energy storage for continued charging. If the energy storage is 10% of the rated power and needs to continue charging, since both the calculated base power and the corrected power indicate that energy storage charging is required, the first type of correction value is used as the power adjustment value. This value fluctuates with the excess power of the photovoltaic power source, thereby improving the photovoltaic absorption rate while limiting the energy storage charging power; when SOC>95%, immediately proceed to step 3.5. Specifically, if the transformer is not overloaded but the energy storage over-discharge protection is triggered, and if the base power is greater than zero indicating that energy storage discharge is needed, and the corrected power is also greater than zero indicating that energy storage discharge is needed, then the third type of correction value will be used. As a power regulation value; in the embodiment, if SOC < 20% during discharge, the energy storage over-discharge protection is triggered, and at this time, the third type of correction value is used. The value should not exceed 30% of the rated power of the energy storage. Since both the calculated base power and the corrected power indicate the need for energy storage discharge, the third type of correction value is used as the power adjustment value to provide sufficient active power support while limiting the energy storage discharge power. When SOC < 5%, proceed to step 3.5 immediately.

[0050] Step 3.3: During time period t, if the transformer overload protection is triggered during normal charging or discharging of the energy storage, the second type of correction value shall be used as the power regulation value regardless of whether there is a conflict between the reference power and the correction power. Specifically, when 20% ≤ SOC ≤ 80%, the energy storage is charging or discharging normally. When the transformer load exceeds 90% of the transformer's rated capacity, the transformer overload protection is triggered. Regardless of whether there is a conflict between the base power and the corrected power, the second type of correction value will be used. As a power regulation value; In the embodiment, regardless of whether there is a conflict between the reference power and the corrected power, when the transformer charges the energy storage and the load is greater than 90% of the transformer's rated capacity, the second type of correction value is 50% of the rated power of the energy storage. At this time, it operates in a low-power charging mode to reduce reverse power surges. Specifically, regardless of whether there is a conflict between the base power and the corrected power, if the transformer overload protection is triggered, the second type of corrected value will be used. As a power regulation value; in the embodiment, when the transformer supplies power to the load and the load is greater than 90% of the transformer's rated capacity, the second type of correction value is 0.8 times the transformer overload, and at this time, it operates in the power limiting discharge mode to reduce the transformer overload rate.

[0051] Step 3.4: During time period t, if neither the energy storage overcharge and over-discharge protection nor the transformer overload protection is triggered, determine the power adjustment value based on the conflict between the base power and the corrected power. Specifically, 1) When 20%≤SOC≤80%, neither the overcharge nor over-discharge protection of the energy storage nor the overload protection of the transformer is triggered. If the base power is greater than zero, it means that the energy storage needs to be discharged and the corrected power is less than zero, it means that the energy storage needs to be charged. Then the energy storage is switched to the charging mode, and the power adjustment value is determined based on the dynamic weight, giving priority to absorbing the excess photovoltaic power. 2) When 20%≤SOC≤80%, neither the overcharge nor over-discharge protection of the energy storage nor the overload protection of the transformer is triggered. If the base power is less than zero, it means that the energy storage needs to be charged and the corrected power is greater than zero, it means that the energy storage needs to be discharged. Then the energy storage switches to the discharge mode and uses the base power as the power adjustment value to meet the load demand and provide sufficient grid support. The determination of the power adjustment value based on dynamic weights includes: a1) Average load over time period t The ratio of the absolute value of the difference from the reference power to the rated power of the energy storage is used as the load deviation coefficient for time period t.

[0052] Where, This is the load deviation coefficient for time period t. The baseline power for time period t. The rated power of the energy storage; a2) Using the load deviation coefficient over time period t and the standard deviation of load fluctuation over time period t The weighting coefficients for time period t are obtained by fitting an exponential function. As shown below:

[0053] Where, It is an exponential function term, which has an amplification effect on the overall system fluctuation. and After superposition, the influence of the deviation on the weight coefficient is strengthened through the exponential function. The essence of taking the reciprocal after adding 1 is to convert the load deviation into a non-linear weight factor, so that the reference power dominates in the case of small deviations to ensure the dispatching stability, and the corrected power dominates in the case of large deviations to ensure the response flexibility. a3) Use the reference power and the corrected power of each time period as the power adjustment value of each time period, as shown below:

[0054] In the formula, is the power adjustment value for time period t; When 5% ≤ SOC < 20% or 80% < SOC ≤ 95%, and there is a conflict between the reference power and the corrected power, the third type of correction value is used as the power adjustment value, and the SOC protection mechanism of the energy storage is preferentially executed to limit the charge and discharge power.

[0055] Step 3.5: When SOC > 95% and the reference power is less than zero, or SOC < 5% and the reference power is greater than zero, the battery management system disconnects the charge and discharge circuit of the energy storage and enters Step 3.6 to perform rolling optimization on the reference power.

[0056] When SOC > 95% or SOC < 5%, regardless of the value of the corrected power, as long as the control direction of the reference power may cause the SOC to further deviate from the safe range, such as when the reference power is less than zero indicating that energy storage charging is required while SOC > 95%, or the reference power is greater than zero indicating that energy storage discharging is required while SOC < 5%, the battery management system (BMS) immediately cuts off the charge and discharge circuit, and at the same time feeds back data to the reference calculation module to trigger the rolling optimization of the reference power curve, so as to properly handle the extreme safety conflict scenario.

[0057] Judging from the setting of the third type of correction value in Step 2.3, when SOC > 95% or SOC < 5%, the BMS will cut off the unnecessary charge and discharge instructions, but it does not clearly state how to execute in the special case where there is a conflict between the reference power and the corrected power; while Step 3.5 further clarifies that even if there is no corrected power (such as zero), as long as the control direction of the reference power may cause the SOC to further deviate from the safe range, the BMS needs to cut off the circuit and give feedback for optimization. Step 3.5 avoids the possible loopholes that may occur by relying solely on the correction value mechanism, ensures that the system can execute protection operations according to the principle of "equipment safety first" regardless of the existence of the corrected power in the extreme state, and perfects the overall safety control logic.

[0058] This invention also proposes a distributed energy storage dynamic power regulation system, comprising: The data processing module is used to collect historical load data of the distribution area, calculate the base power of energy storage during peak and valley electricity price periods and the power regulation margin for each period; set a dynamic absorption coefficient based on the SOC of energy storage, and use the dynamic absorption coefficient and the excess power of photovoltaic power to determine the first type of correction value of energy storage power in each period; determine the second type of correction value of energy storage power in each period according to the transformer load; determine the third type of correction value of energy storage power in each period according to the SOC and rated power of energy storage; determine the energy storage operation scenario according to the power regulation margin; and under the energy storage operation scenario, the sum of various correction values ​​for each period that meet the constraints is used as the correction power for each period. The power regulation module is used to determine the power regulation value based on the following conditions during different time periods: if there is no conflict between the reference power and the corrected power, and the transformer is not overloaded but the energy storage overcharge protection is triggered, the first type of correction value is used as the power regulation value; if the transformer is not overloaded but the energy storage over-discharge protection is triggered, the third type of correction value is used as the power regulation value. When the energy storage is charging or discharging normally, if the transformer overload protection is triggered, the second type of correction value is used as the power regulation value regardless of whether there is a conflict between the reference power and the corrected power. If neither the energy storage overcharge nor over-discharge protection nor the transformer overload protection is triggered, the power regulation value is determined based on the conflict between the reference power and the corrected power.

[0059] Specifically, the data processing module is also used to perform closed-loop rolling optimization of the reference power curve. It acquires actual power response data every 3 months to update historical data, optimizes the 24-hour reference power curve for the next cycle, and realizes dynamic iterative updates of the control strategy. It checks the deviation between the reference power and the actual power every 10 minutes, and triggers a self-check when the deviation is greater than 20% of the reference power. The historical load data collection cycle is 15 minutes, the baseline power calculation updates the 24-hour baseline power curve every 15 minutes, and the photovoltaic power generation prediction data is updated every 5 minutes. The power is corrected every 5 minutes based on real-time data. Therefore, the two run in parallel in the time dimension and achieve millisecond-level data synchronization through the data interaction interface to ensure the real-time performance of the final power control command.

[0060] This invention proposes the specific application of multi-dimensional data in power regulation. Photovoltaic power data is used to determine whether there is excess power that needs to be absorbed by the energy storage system or whether stored power needs to be released to supplement insufficient power. When there is excess photovoltaic power, the dynamic absorption coefficient is determined based on the battery SOC to achieve reasonable allocation of excess photovoltaic power and improve photovoltaic absorption rate. Transformer load data reflects the grid load in real time. When the load is too high, the energy storage system discharges to reduce transformer pressure. When the load is too low and it is during the charging period, the charging power is adjusted appropriately to ensure the safe operation of the transformer, reduce transformer load fluctuation, and improve grid stability. Battery SOC data directly determines the charging and discharging state and power of the energy storage system, avoiding overcharging or over-discharging of the battery and extending the service life of the equipment. Through the synergistic effect of these data, the system can achieve precise power regulation, and various performance indicators are significantly improved. The method proposed in this invention can generate a 24-hour basic control curve with a 20% adjustment margin in advance. Combined with the linkage mechanism of SOC threshold and power regulation, it can effectively avoid battery overcharging / over-discharging. In addition, the multi-dimensional constraints in the dynamic correction model (such as photovoltaic absorption coefficient and transformer load coefficient) form multiple protections, and the system safety is further improved by optimizing the equipment protection capabilities.

[0061] To verify the effectiveness of the present invention under typical operating conditions, the following representative embodiments are selected for illustration: 1) Peak hour control scenario: corresponding to the complex operating conditions of "high load, large photovoltaic power generation, and medium SOC", used to verify the dynamic response capability of the dual-track control mechanism when there is a conflict in power direction; In the example, during the midday peak period (13:00-15:00), historical load data for the distribution area shows the average load. The initial power was 500kW, and step 1 yielded a base power of 600kW. However, during this period, the installed photovoltaic capacity was large, such as distributed residential photovoltaic centralized power generation. Real-time detection showed an excess power of 80kW from the photovoltaic power source. Simultaneously, the current SOC of the energy storage was 75%, not triggering overcharge protection, and the transformer load rate was 85%, not triggering overload protection. The dynamic absorption coefficient k = 0.5 + (75% - 50%) = 0.75, which is the first type of correction value. The power is -60kW, therefore the corrected power calculation result is... A value of -60kW indicates that energy storage is needed to absorb excess photovoltaic power. In this case, the reference power and the corrected power are in completely opposite directions, and neither the energy storage overcharge protection nor the transformer overload protection is triggered. Therefore, energy storage power is adjusted based on the photovoltaic power surplus summation dispatch command. If the rated power of the energy storage system is 200kW, then the load deviation coefficient... =0.5; if the system fluctuation coefficient =0.5, baseline power weight ≈0.269, final real-time power The actual discharge power of the energy storage is 117.54kW, therefore the actual discharge power of the energy storage is 117.54kW.

[0062] 2) Transformer overload protection scenario: This scenario corresponds to the conflicting condition of "charging during off-peak hours but equipment overload" and is used to verify the equipment safety priority mechanism and the real-time adjustment effect of the corrective power.

[0063] In the example, during the off-peak hours in the early morning (02:00-04:00), historical load data for the distribution area shows the average load. The rated power is 100kW. Step 1 yields a base power of -120kW. Due to factory equipment startup, the transformer's load rate rises to 95%, its rated capacity is 800kW, and its overload is 40kW. (Second-class correction value) The power output is 40 × 0.8 = 32 kW, and the transformer is discharged. At this time, the transformer overload protection is triggered, and the 32 kW discharge is prioritized, so that the transformer load rate drops from 95% to 90%, and the voltage deviation rate is controlled within ±1.5%.

[0064] 3) Extreme SOC scenario: This corresponds to the dangerous operating condition of "SOC approaching the threshold boundary" and is used to verify the linkage protection mechanism between SOC threshold and power regulation.

[0065] In the example, during the late-night period (23:00-01:00), historical load data for the transformer area shows the average load. For a power rating of 100kW, step 1 yields a base power of -120kW. If the current SOC of the energy storage is 96%, the photovoltaic system has no output (excess power 0), the transformer load rate is 60% (<90%), and the rated power of the energy storage is 100kW, since SOC=96%>95%, and both the base power and the corrected power are in the charging direction (same direction), according to the extreme scenario rules in step 3.1, the BMS protection mechanism is triggered. The BMS immediately cuts off the charging and discharging circuit, stops the charging operation, and the execution module feeds back data to the base calculation module, triggering the optimization of the base power curve in the next cycle (such as reducing the charging power to -80kW during this period), which meets the safety control requirements under extreme scenarios.

[0066] 4) Normal stable operating conditions: This corresponds to the normal scenario of "stable load, stable photovoltaic output, and normal SOC". It is used to verify the coordinated stability of the dual-track control system, the fine-tuning effect of multi-dimensional data fusion, and the basic guarantee role for grid stability and equipment life.

[0067] In the example, during the off-peak hours (10:00-12:00) on weekdays in a certain residential area, historical load data for the transformer substation showed the average load. The initial power was 300kW. Step 1 yielded a base power of 360kW. Real-time monitoring showed the photovoltaic power stabilized at 200kW (no excess), the transformer load rate was 70%, and the energy storage SOC was 50%. At this point, the excess photovoltaic power was 0, hence the first type of correction value. The value is zero; the transformer load rate is normal, therefore the second type of correction value is given. It is zero; the SOC is normal, therefore the third type of correction value is given. The reference power is zero, and the corrected power is zero. The reference power dominates, with dynamic correction occurring without intervention, resulting in the final real-time power. =360kW, with a deviation from the benchmark of <5%. During this period, the power regulation deviation was controlled within ±2%, the transformer load fluctuation rate was stable within ±3%, and the voltage deviation rate was <±1%, demonstrating the stability of dual-track regulation under normal scenarios and providing a fundamental guarantee for the stable operation of the power grid.

[0068] 5) PV power sudden change scenario: corresponding to the working condition of "sudden and large change in PV power, basically stable load, and moderate SOC", to verify the rapid response capability of multi-dimensional data fusion in dealing with instantaneous fluctuations in new energy, highlight the timeliness of dynamic correction, and demonstrate the effect of shortening the power regulation lag time and improving the PV absorption rate.

[0069] In the example, in a cloudy morning (9:00-9:10) in an industrial park, the initial photovoltaic power was 200kW, the load stabilized at 400kW, the energy storage SOC was 60%, and the base power was 480kW (peak discharge). From 9:05, the photovoltaic power suddenly increased to 500kW, generating 300kW of excess power. Since SOC=60%, the dynamic absorption coefficient k=0.5+(60%-50%)=0.6, which is the first type of correction value. =-300×0.6=-180kW. Transformer load rate is 85% (normal). =0; SOC is normal. =0, therefore the corrected power is -180kW. Assuming the rated power of energy storage is 400kW, then the load deviation coefficient is... =0.2; Assuming the photovoltaic power changes abruptly but the load remains relatively stable in the scenario, the system fluctuation coefficient is taken as 0.2. =0, baseline power weight With a value approximately 0.45, the final real-time power calculation is 0.45×480+(1-0.45)×(-180)=133.5kW, meaning the actual discharge is 133.5kW, allowing the entire system to absorb 180kW of excess photovoltaic power. The millisecond-level response from sudden photovoltaic changes to power adjustment completion significantly shortens the lag time compared to existing technologies (8-10 minutes). This timeframe allows for further photovoltaic absorption, validating the rapid response capability of multi-dimensional data fusion and the improvement in photovoltaic absorption rate.

[0070] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0071] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0072] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0073] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A method for dynamic power regulation of distributed energy storage, characterized in that, include: Collect historical load data for the distribution area and calculate the benchmark power and power regulation margin of energy storage during peak and valley electricity price periods. Based on the SOC of energy storage, a dynamic absorption coefficient is set. The first type of correction value for the power of energy storage in each time period is determined by the dynamic absorption coefficient and the excess power of photovoltaic power. The second type of correction value for the power of energy storage in each time period is determined according to the transformer load. The third type of correction value for the power of energy storage in each time period is determined according to the SOC and rated power of energy storage. The energy storage operation scenario is determined according to the power regulation margin. In energy storage operation scenarios, the sum of various correction values ​​for each time period that meet the constraints is taken as the correction power for each time period. During each time period, if there is no conflict between the reference power and the corrected power, and the transformer is not overloaded but the energy storage overcharge protection is triggered, the first type of correction value is used as the power adjustment value; if the transformer is not overloaded but the energy storage over-discharge protection is triggered, the third type of correction value is used as the power adjustment value; when the energy storage is charging or discharging normally, if the transformer overload protection is triggered, regardless of whether there is a conflict between the reference power and the corrected power, the second type of correction value is used as the power adjustment value. When neither the energy storage overcharge and over-discharge protection nor the transformer overload protection is triggered, the power regulation value is determined based on the conflict between the base power and the corrected power.

2. The distributed energy storage dynamic power regulation method according to claim 1, characterized in that, The average load of the same time period t in the historical load data of the transformer area for a set number of days is used as the average load of time period t; the standard deviation of load fluctuation in time period t is calculated using the load and average load in the same time period t in the historical load data of the transformer area for a set number of days. During peak discharge periods, the reference power is 1.2 times the average load of each period and is a positive value; During off-peak charging periods, the base power is 1.2 times the average load of each time period and is negative; The power regulation margin for each time period is calculated by weighting the average load and the standard deviation of load fluctuation for each time period.

3. The distributed energy storage dynamic power regulation method according to claim 1, characterized in that, Dynamic absorption coefficient based on SOC setting of energy storage The product of the excess power of the photovoltaic power source and the dynamic absorption coefficient in time period t is used as the first type of correction value for the charging and discharging power of the energy storage in time period t. And when energy storage and charging are required, ; When energy storage and discharge are required ; Based on the transformer load, determine the second type of correction value for the charging and discharging power of the energy storage during time period t. ; Based on the SOC of energy storage, a third type of correction value for the charging and discharging power of energy storage in time period t is determined. .

4. The distributed energy storage dynamic power regulation method according to claim 3, characterized in that, When SOC>80% The value is 0.3; When SOC < 30% The value is 1; When 30%≤SOC≤80%, .

5. The distributed energy storage dynamic power regulation method according to claim 4, characterized in that, When the transformer load is no more than 90% of the transformer's rated capacity, the second type of correction value for charging and discharging power is... =0; When the transformer supplies power to the load and the load exceeds 90% of the transformer's rated capacity, the energy storage switches to discharge mode, with a second-type correction value for the charging and discharging power over time period t, calculated as 0.8 times the transformer overload. ,and Indicates energy storage and discharge; When the transformer charges the energy storage and the load exceeds 90% of the transformer's rated capacity, the energy storage switches to charging mode, with the second-type correction value for the charging and discharging power over time period t being 50% of the energy storage's rated power. ,and This indicates energy storage charging.

6. The distributed energy storage dynamic power regulation method according to claim 5, characterized in that, The third type of correction value for charge and discharge power when 5%≤SOC<20%. Not exceeding 30% of the rated energy storage capacity, and This indicates that energy storage and discharge are required; The third type of correction value for charge and discharge power when 20%≤SOC≤80% =0; When 80% < SOC ≤ 95%, the third correction value of the charge and discharge power is 10% of the rated power of the energy storage, and indicates that energy storage charging is required; When SOC > 95% or SOC < 5%, energy storage stops charging and discharging.

7. The distributed energy storage dynamic power regulation method according to claim 3, characterized in that, When the power regulation margin is greater than zero, it means that energy storage and discharge are required in time period t. The sum of the correction power of each time period that is greater than zero and whose absolute value is less than the absolute value of the power regulation margin is used as the discharge correction power for time period t. When the power regulation margin is less than zero, it means that energy storage charging is required in time period t. The sum of the correction power of each time period that is less than zero and whose absolute value is less than the absolute value of the power regulation margin is used as the charging correction power for time period t.

8. The distributed energy storage dynamic power regulation method according to claim 7, characterized in that, There are conflicts between the reference power and the corrected power, including: A reference power less than zero indicates that energy storage charging is required, and a corrected power greater than zero indicates that energy storage discharging is required; A reference power greater than zero indicates that energy storage discharging is required, and a corrected power less than zero indicates that energy storage charging is required; There is no conflict between the reference power and the corrected power, including: A reference power less than zero indicates that energy storage charging is required, and a corrected power less than zero indicates that energy storage charging is required; A reference power greater than zero indicates that energy storage discharging is required, and a corrected power greater than zero indicates that energy storage discharging is required.

9. The distributed energy storage dynamic power regulation method according to claim 8, wherein Regardless of whether there is a conflict between the base power and the corrected power, and if the transformer is not overloaded, the energy storage overcharge protection will be triggered if the SOC > 80% during charging. The dynamic absorption coefficient... The value is set to 0.3, and the first type of correction value is used as the power regulation value; when SOC>95% and the reference power is less than zero, the battery management system disconnects the energy storage charging circuit.

10. The distributed energy storage dynamic power regulation method according to claim 9, wherein Regardless of whether there is a conflict between the reference power and the corrected power, when the transformer is not overloaded, if the SOC < 20% during discharging, an energy storage over-discharge protection is triggered, and the third type of corrected value is used as the power regulation value; When the SOC < 5% and the reference power is greater than zero, the battery management system opens the energy storage discharging circuit.

11. The distributed energy storage dynamic power regulation method according to claim 10, wherein When 20% ≤ SOC ≤ 80%, the energy storage is charging normally. If the transformer charges the energy storage and the load exceeds 90% of the transformer's rated capacity, the transformer overload protection is triggered. Regardless of whether there is a conflict between the base power and the corrected power, the second type of correction value will be used. As a power regulation value; When 20% ≤ SOC ≤ 80%, the energy storage discharges normally. If the transformer supplies power to the load and the load exceeds 90% of the transformer's rated capacity, the transformer overload protection is triggered. Regardless of whether there is a conflict between the base power and the corrected power, the second type of correction value is used. As a power regulation value.

12. The distributed energy storage dynamic power regulation method according to claim 11, wherein When 20% ≤ SOC ≤ 80%, and the energy storage overcharge / over-discharge protection is not triggered and the transformer overload protection is not triggered, if the reference power is greater than zero indicating that energy storage discharging is required and the corrected power is less than zero indicating that energy storage charging is required, the energy storage switches to the charging mode, and the power regulation value is determined based on the dynamic weight; When 20% ≤ SOC ≤ 80%, and the energy storage overcharge / over-discharge protection is not triggered and the transformer overload protection is not triggered, if the reference power is less than zero indicating that energy storage charging is required and the corrected power is greater than zero indicating that energy storage discharging is required, the energy storage switches to the discharging mode, and the reference power is used as the power regulation value.

13. The distributed energy storage dynamic power regulation method according to claim 12, wherein Average load over time period t The ratio of the absolute value of the difference from the reference power to the rated power of the energy storage is used as the load deviation coefficient for time period t. ; Using the load deviation coefficient over time period t and the standard deviation of load fluctuation over time period t The weighting coefficients for time period t are obtained by fitting an exponential function. As shown below: Using the reference power of each time period and corrected power The weighted sum is used as the power adjustment value for each time period, as shown below: In the formula, This represents the power adjustment value over time period t.

14. The distributed energy storage dynamic power regulation method according to claim 1, wherein When 5% ≤ SOC < 20% or 80% < SOC ≤ 95%, and there is a conflict between the reference power and the corrected power, the third type of corrected value is used as the power regulation value.

15. A distributed energy storage dynamic power regulation system, used to implement the distributed energy storage dynamic power regulation method according to any one of claims 1 to 14, characterized in that, Including: A data processing module, configured to collect historical data of the load in the transformer area, and calculate the reference power of the energy storage during peak-valley electricity price periods and the power regulation margin for each period; Set a dynamic absorption coefficient based on the SOC of the energy storage, and use the dynamic absorption coefficient and the excess power of the photovoltaic power source to determine the first type of corrected value of the power of the energy storage for each period; determine the second type of corrected value of the power of the energy storage for each period according to the load condition of the transformer; determine the third type of corrected value of the power of the energy storage for each period according to the SOC and the rated power of the energy storage; determine the energy storage operation scenario according to the power regulation margin; Under the energy storage operation scenario, the sum of the various types of corrected values for each period that meet the constraint conditions is used as the corrected power for each period; The power regulation module is used to adjust the power value according to the following conditions: if there is no conflict between the reference power and the corrected power, the transformer is not overloaded and the energy storage overcharge protection is triggered, the first type of correction value is used as the power regulation value; if the transformer is not overloaded and the energy storage over-discharge protection is triggered, the third type of correction value is used as the power regulation value; if the energy storage is charging or discharging normally, and the transformer overload protection is triggered, the second type of correction value is used as the power regulation value regardless of whether there is a conflict between the reference power and the corrected power. When neither the energy storage overcharge and over-discharge protection nor the transformer overload protection is triggered, the power regulation value is determined based on the conflict between the base power and the corrected power.

16. A terminal, comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the method according to any one of claims 1-14.

17. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method according to any one of claims 1-14.

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