Distributed Energy Storage Dynamic Power Regulation Method and System

Abstract

A method and system for dynamic power regulation of distributed energy storage is proposed. This method determines three types of correction values ​​for the energy storage power at different time periods: a first type, a second type, and a third type. Under an energy storage operation scenario determined by power regulation margin, the sum of these correction values ​​that satisfy the constraints is used as the corrected power. If the base power and the corrected power do not conflict, and the transformer is not overloaded but 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 energy storage overdischarge protection is triggered, the third type of correction value is used as the power regulation value. During normal charging and discharging of the energy storage, if 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 base power and the corrected power. If neither energy storage overcharge nor overdischarge protection nor transformer overload protection is triggered, the power regulation value is determined based on the conflict between the base power and the corrected power. This addresses the problems of single regulation dimension, delayed response, insufficient equipment protection, and low renewable energy consumption efficiency in existing technologies.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power control of energy storage systems, and particularly relates to a distributed energy storage system charge-discharge power real-time precise regulation method and system based on a "preset reference + dynamic adjustment" double-track regulation system suitable for a smart grid scenario with new energy access. BACKGROUND

[0002] In recent years, with large-scale access of new energy such as photovoltaic power generation and wind power generation, distributed energy storage systems, as a key technology to solve the intermittency and volatility of new energy generation, are increasingly widely used in power systems.

[0003] In the prior art, the distributed energy storage system power regulation scheme mainly focuses on time scale hierarchical scheduling, and a cloud-edge collaborative distributed energy hierarchical optimization operation method and system is adopted, a system scheduling model is established, a day-ahead optimization scheduling scheme and an intra-day optimization scheduling scheme are combined, a multi-objective ant colony algorithm is used to solve the optimal scheduling strategy, and energy storage power distribution under different time scales is realized. However, the prior art still has the following significant defects in actual application: 1) the prior art only relies on load prediction and does not fuse multi-dimensional data such as photovoltaic power, transformer load, SOC, etc., resulting in single regulation dimension; 2) the prior art relies on real-time feedback regulation and cannot respond to instantaneous fluctuations of new energy, the double-time-scale scheduling is "sequentially executed", and the power regulation lags behind by 8-10 minutes, resulting in obvious response lag; 3) the prior art does not establish SOC threshold and power regulation linkage, and the risk of overcharging / overdischarging of the battery is high, resulting in insufficient equipment protection; 4) the prior art makes the photovoltaic consumption rate only 70%, and cannot coordinate multi-factor constraints, resulting in low consumption efficiency. SUMMARY

[0004] To solve the problems in the prior art, the application provides a distributed energy storage dynamic power regulation method and system, which is a distributed energy storage system charge-discharge power real-time precise regulation scheme based on a "preset reference + dynamic adjustment" double-track regulation system, solves the problems of single regulation dimension, response lag, insufficient equipment protection and low new energy consumption efficiency in the prior art, and achieves the technical effects of shortening the power regulation lag time, improving the photovoltaic consumption rate, enhancing the stability of the power grid and prolonging the service life of the equipment.

[0005] The application adopts the following technical solutions.

[0006] The application provides a distributed energy storage dynamic power regulation method, which comprises the following steps:

[0007] Collecting historical data of the load in the transformer area, calculating the reference power of the energy storage in the peak-valley electricity price period and the power regulation margin of each period;

[0008] The dynamic absorption coefficient is set based on the SOC of the energy storage, the first type of correction value of the energy storage in each time period is determined by using the dynamic absorption coefficient and the excess power of the photovoltaic power supply, the second type of correction value of the energy storage in each time period is determined according to the transformer load condition, the third type of correction value of the energy storage in each time period is determined according to the SOC and the rated power of the energy storage, the energy storage operation scene is determined according to the power regulation margin, and the sum of the correction values of each type in each time period that meets the constraint condition is taken as the correction power in each time period under the energy storage operation scene.

[0009] In each time period, if the reference power and the correction power do not conflict, the transformer is not overloaded, and the energy storage overcharge protection is triggered, the first type of correction value is taken as the power regulation value when the transformer is not overloaded and the energy storage over-discharge protection is triggered, the third type of correction value is taken as the power regulation value, when the energy storage is normally charged or discharged, if the transformer overload protection is triggered, whether the reference power and the correction power conflict or not, the second type of correction value is taken as the power regulation value, and when the energy storage overcharge and over-discharge protection is not triggered and the transformer overload protection is not triggered, the power regulation value is determined according to the conflict of the reference power and the correction power.

[0010] The average value of the load in the same time period t in the historical data of the substation load in the set number of days is taken as the average load in the time period t, and the load fluctuation standard deviation in the time period t is calculated by using the load and the average load in the same time period t in the historical data of the substation load in the set number of days.

[0011] In the peak period discharge period, the reference power is 1.2 times the average load in each time period and is a positive value.

[0012] In the valley period charging period, the reference power is 1.2 times the average load in each time period and is a negative value.

[0013] The weighted sum of the average load and the load fluctuation standard deviation in each time period is taken as the power regulation margin in each time period.

[0014] The dynamic absorption coefficient is set based on the SOC of the energy storage The product of the excess power of the photovoltaic power supply in the time period t and the dynamic absorption coefficient is taken as the first type of correction value of the charging and discharging power of the energy storage in the time period t , and when the energy storage needs to be charged, ; when the energy storage needs to be discharged, ;

[0015] The second type of correction value of the charging and discharging power of the energy storage in the time period t is determined according to the transformer load .

[0016] The third type of correction value of the charging and discharging power of the energy storage in the time period t is determined based on the SOC of the energy storage .

[0017] SOC>80%, 0.3;

[0018] SOC<30%, 1;

[0019] 30%≤SOC≤80%, .

[0020] When the transformer load is not greater than 90% of the rated capacity of the transformer, the second type of correction value of the charge-discharge power =0;

[0021] 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 type of correction value of the charge-discharge power of the time period t is 0.8 times the transformer overload , and indicates that the energy storage is discharged;

[0022] 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 charging mode, and the second type of correction value of the charge-discharge power of the time period t is 50% of the rated power of the energy storage , and indicates that the energy storage is charged;

[0023] 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 indicates that the energy storage needs to be discharged;

[0024] When 20%≤SOC≤80%, the third type of correction value of the charge-discharge power is 0;

[0025] When 80%<SOC≤95%, the third type of correction value of the charge-discharge power is 10% of the rated power of the energy storage, and indicates that the energy storage needs to be charged;

[0026] When SOC>95% or SOC<5%, the energy storage stops charging and discharging.

[0027] When the power regulation margin is greater than zero, it indicates that the energy storage needs to be discharged in the time period t, and the sum of the correction powers of each time period that is greater than zero and has an absolute value less than the absolute value of the power regulation margin is taken as the discharge correction power of the time period t;

[0028] When the power regulation margin is less than zero, it indicates that the energy storage needs to be charged in the time period t, and the sum of the correction powers of each time period that is less than zero and has an absolute value less than the absolute value of the power regulation margin is taken as the charge correction power of the time period t.

[0029] There is a conflict between the reference power and the correction power, including:

[0030] The reference power is less than zero, indicating that the energy storage needs to be charged, and the correction power is greater than zero, indicating that the energy storage needs to be discharged;

[0031] The reference power is greater than zero, indicating that the energy storage needs to be discharged, and the correction power is less than zero, indicating that the energy storage needs to be charged;

[0032] There is no conflict between the reference power and the correction power, including:

[0033] The reference power is less than zero, indicating that the energy storage needs to be charged, and the correction power is less than zero, indicating that the energy storage needs to be charged;

[0034] The reference power is greater than zero, indicating that the energy storage needs to be discharged, and the correction power is greater than zero, indicating that the energy storage needs to be discharged.

[0035] Regardless of whether there is a conflict between the reference power and the correction power, the transformer is not overloaded, and if the SOC is greater than 80% during charging, the energy storage overcharge protection is triggered, and the dynamic absorption coefficient is 0.3, and the first type of correction value is taken as the power regulation value; when the SOC is greater than 95% and the reference power is less than zero, the battery management system opens the energy storage charging circuit.

[0036] Regardless of whether there is a conflict between the reference power and the correction power, the transformer is not overloaded, and if the SOC is less than 20% during discharging, the energy storage over-discharge protection is triggered, and the third type of correction value is taken as the power regulation value; when the SOC is less than 5% and the reference power is greater than zero, the battery management system opens the energy storage discharging circuit.

[0037] When 20%≤SOC≤80%, the energy storage is normally charged, and if the transformer charges the energy storage and the load is greater than 90% of the rated capacity of the transformer, the transformer overload protection is triggered, regardless of whether there is a conflict between the reference power and the correction power, the second type of correction value is taken as the power regulation value;

[0038] When 20%≤SOC≤80%, the energy storage is normally discharged, and if the transformer supplies power to the load and the load is greater than 90% of the rated capacity of the transformer, the transformer overload protection is triggered, regardless of whether there is a conflict between the reference power and the correction power, the second type of correction value is taken as the power regulation value.

[0039] When 20%≤SOC≤80% and the energy storage overcharge and over-discharge protection is not triggered and the transformer overload protection is not triggered, if the reference power is greater than zero, indicating that the energy storage needs to be discharged, and the correction power is less than zero, indicating that the energy storage needs to be charged, the energy storage switches to the charging mode, and the power regulation value is determined based on the dynamic weight;

[0040] When the SOC is between 20% and 80%, the energy storage overcharge and overdischarge protection is not triggered, and the transformer overload protection is not triggered, if the reference power is less than zero, indicating that the energy storage needs to be charged, and the corrected power is greater than zero, indicating that the energy storage needs to be discharged, the energy storage is switched to the discharging mode, and the reference power is used as the power adjustment value.

[0041] The average load of the time period t The ratio of the absolute value of the difference between the reference power and the rated power of the energy storage is used as the load deviation coefficient of the time period t ; the load deviation coefficient of the time period t and the load fluctuation standard deviation of the time period t are used to fit the weight coefficient of the time period t as follows:

[0042]

[0043] The weighted sum of the reference power and the corrected power of each time period is used as the power adjustment value of each time period as follows:

[0044]

[0045] In the formula, is the power adjustment value of the time period t.

[0046] When the SOC is between 5% and 20% or between 80% and 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.

[0047] The application also provides a distributed energy storage dynamic power regulation system, comprising:

[0048] The data processing module is used to collect the historical load data of the transformer area, calculate the reference power of the energy storage in the peak-valley electricity price period and the power adjustment margin of each time period, set the dynamic absorption coefficient based on the SOC of the energy storage, determine the first type of correction value of the power of the energy storage in each time period by using the dynamic absorption coefficient and the excess power of the photovoltaic power supply, determine the second type of correction value of the power of the energy storage in each time period according to the transformer load condition, determine the third type of correction value of the power of the energy storage in each time period according to the SOC and the rated power of the energy storage, determine the energy storage operation scenario according to the power adjustment margin, and in the energy storage operation scenario, the sum of the correction values of each type in each time period that meets the constraint condition is used as the corrected power of each time period.

[0049] The power adjustment module is used for taking the first type of correction value as the power adjustment value when the reference power and the correction power do not conflict, the transformer is not overloaded and the energy storage overcharge protection is triggered in each period, taking the third type of correction value as the power adjustment value when the transformer is not overloaded and the energy storage overdischarge protection is triggered, taking the second type of correction value as the power adjustment value when the energy storage is normally charged or discharged and the transformer overload protection is triggered regardless of whether the reference power and the correction power conflict or not, and determining the power adjustment value according to the conflict of the reference power and the correction power when the energy storage overcharge and overdischarge protections are not triggered and the transformer overload protection is not triggered.

[0050] The application also provides a terminal, including a processor and a storage medium; the storage medium is used for storing instructions; the processor is used for operating according to the instructions to execute the steps of the method.

[0051] The application also provides a computer readable storage medium, which stores a computer program; the program is executed by a processor to realize the steps of the method.

[0052] The application has the advantages that, compared with the prior art, at least, the method provided by the application calculates the reference power of the energy storage in the peak-valley electricity price period and the power adjustment margin of each period by using the historical data of the transformer area load, realizes historical reference curve pre-adjustment, sets a dynamic absorption coefficient based on the SOC of the energy storage, the transformer load condition and the SOC of the energy storage, respectively determines the first type of correction value, the second type of correction value and the third type of correction value of the power of the energy storage in each period, determines the energy storage operation scene according to the power adjustment margin, takes the sum of the correction values of each type in each period that meet the constraint condition as the correction power of each period in the energy storage operation scene, realizes real-time multi-dimensional correction, on the basis of the double-track mechanism of "historical reference curve pre-adjustment + real-time multi-dimensional correction", based on the linkage mechanism of the SOC threshold + whether the reference power and the correction power conflict, generates the power adjustment value as the basic control instruction, fully utilizes the real-time data millisecond-level dynamic correction capability of the photovoltaic power, the transformer load, the battery SOC and the like, significantly improves the power adjustment speed, and simultaneously, on the basis of equipment safety priority, executes distributed energy storage dynamic adjustment, perfects the overall safety control logic, provides multiple protections for equipment safety from the energy storage control operation dimension, and further improves the system safety. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 It is a flowchart of the distributed energy storage dynamic power adjustment method provided by the application. DETAILED DESCRIPTION

[0054] 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.

[0055] This invention proposes a method for dynamic power regulation of distributed energy storage, such as... Figure 1 As shown, it includes:

[0056] 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.

[0057] Specifically, step 1 includes:

[0058] 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;

[0059] 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;

[0060]

[0061] In the formula, For the first The load over a time period t, where n is the number of days.

[0062] 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;

[0063] 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.

[0064]

[0065] 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.

[0066] Step 1.3, calculate the reference power of the peak-valley electricity price period by using the average load of each period ;

[0067] In combination with the peak-valley electricity price period (such as the peak period 8:00-22:00 and the valley period 22:00-8:00), the reference power is dynamically associated, including:

[0068] 1) In the peak period discharging period, the reference power is 1.2 times the average load of each period and is a positive value, the reference power contains a 20% safety margin, and the positive value indicates discharging;

[0069] 2) In the valley period charging period, the reference power is 1.2 times the average load of each period and is a negative value, the reference power does not exceed 40% of the rated power of the energy storage system, the reference power contains a 20% safety margin, and the negative value indicates charging.

[0070] In the method proposed in the application, the mechanism of historical reference curve pre-adjustment is first executed, and a 24-hour basic regulation curve containing a 20% adjustment margin is generated in advance according to the determined reference power.

[0071] Step 1.4, calculate the power adjustment margin of each period by using the weighted sum of the average load and the load fluctuation standard deviation of each period;

[0072]

[0073] In the formula, is the power adjustment margin of the period t, , is an empirical coefficient, the value of which is adjusted according to the load characteristics of the transformer area, in the embodiment, is 1.5, is 0.1; indicates that the energy storage needs to be discharged, indicates that the energy storage needs to be charged.

[0074] Step 2, set a dynamic absorption coefficient based on the SOC of the energy storage; determine various types of correction values of the power of the energy storage in each period by using the dynamic absorption coefficient, the SOC of the energy storage and the transformer load; determine the energy storage operation scenario according to the power adjustment margin; in the operation scenario, the sum of the various types of correction values of each period that meet the constraint conditions is used as the corrected power of each period.

[0075] Specifically, step 2 includes:

[0076] Step 2.1, set a dynamic absorption coefficient based on the SOC of the energy storage The product of the excess power of the photovoltaic power source in the period t and the dynamic absorption coefficient is used as the first type of correction value of the charging and discharging power of the energy storage in the period t Among them, when energy storage and charging are required, When energy storage and discharge are required, .

[0077] in, The following relationship must be satisfied:

[0078] 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;

[0079] 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.

[0080] 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.

[0081] 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:

[0082] 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;

[0083] 2) 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 the second correction value for the charging and discharging power over time period t being 0.8 times the transformer overload. ,and This indicates that energy storage and discharge are needed, and the stored energy releases electrical energy to the load to relieve transformer pressure.

[0084] 3) 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 of correction value for the charging and discharging power in time period t being 50% of the energy storage's rated power. ,and This indicates the need for energy storage charging to reduce the reverse power surge that the transformer experiences when photovoltaic power is fed back.

[0085] Step 2.3, determining the third type of correction value of the charge-discharge power of the energy storage at the time period t based on the SOC of the energy storage , specifically as follows:

[0086] 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 represents discharging of the energy storage;

[0087] 2) when 20%≤SOC≤80%, the correction value of the charge-discharge power is 0;

[0088] 3) when 80%<SOC≤95%, the correction value of the charge-discharge power is 10% of the rated power of the energy storage, and represents charging of the energy storage;

[0089] 4) when SOC>95% or SOC<5%, the BMS is linked to cut off unnecessary charge-discharge instructions and stop charging and discharging.

[0090] The correction values in steps 2.1 and 2.3 are both determined based on the SOC, and the two types of correction values have different effects when the correction power is determined.

[0091] Step 2.4, determining the energy storage operation scenario based on the power regulation margin ; under the energy storage operation scenario, the sum of the correction values of each time period that meets the constraint condition is taken as the correction power of each time period, specifically as follows:

[0092] When the power regulation margin is greater than zero, it indicates that the energy storage needs to be discharged at the time period t, and the sum of the correction powers of each time period that is greater than zero and has an absolute value less than the absolute value of the power regulation margin is taken as the discharge correction power of the time period t;

[0093] In the embodiment, indicates that the energy storage needs to be discharged at the time period t, wherein, is always 0 in the discharge scenario, so it is by default not involved in the calculation of the discharge correction power and only , needs to meet the following constraint condition: if , are both greater than 0, and , are both less than , then the sum of , is taken as the discharge correction power of the time period t ; if and / or ​​​If the constraint condition is not met, the correction value is rejected or assigned a value of 0, and only the correction values meeting the constraint condition are summed as the discharge correction power;

[0094] When the power regulation margin is less than zero, it indicates that the energy storage needs to be charged at the time period t, and the sum of the correction powers of each time period less than zero and having an absolute value less than the absolute value of the power regulation margin is taken as the charge correction power of the time period t.

[0095] In the embodiment, It indicates that the energy storage needs to be charged at the time period t, and if , , are all less than 0, and , , are all less than , the sum of , , is taken as the charge correction power of the time period t ; if any correction value does not meet the constraint, the correction value is rejected or assigned a value of 0, and only the correction values meeting the constraint are summed as the charge correction power.

[0096] In addition to the SOC of the energy storage, the dynamic absorption coefficient is fused with multi-dimensional data such as the excess power of the photovoltaic power supply and the transformer load to form a dynamic correction mechanism of the energy storage charge and discharge power. When the SOC is in the interval of 30%-80%, the dynamic absorption coefficient realizes the linear regulation effect of the energy storage discharge power, so as to dynamically correct the energy storage charge and discharge power according to the transformer load, and realize the intelligent distribution of the excess power of the photovoltaic power supply. When the SOC>80% =0.3 to avoid overcharging of the energy storage, and when the SOC<30% =1 to realize full consumption, so as to cooperate with the transformer load prediction data to greatly improve the photovoltaic consumption efficiency. Compared with the single-dimensional regulation by the SOC or the load in the prior art, the actual measured photovoltaic consumption rate is increased from 70% to more than 90%.

[0097] Moreover, based on the transformer load, the present application realizes a dynamic regulation strategy of the energy storage charge and discharge. When the transformer load>90% of the rated capacity, the energy storage electric energy is automatically released, and when the overload is reversed, the charging mode is switched. In the embodiment, by monitoring the transformer load rate in real time, the transformer load fluctuation rate is reduced from ±15% to ±5%, and the voltage deviation rate is controlled within ±1.5%, thereby guaranteeing the power supply reliability, reducing the problem of unstable voltage caused by load fluctuation, and enhancing the stability of the power grid. In the actual application of a certain photovoltaic industrial park, after the system is operated for half a year, the transformer load fluctuation rate is stabilized at ±4.8%, and the voltage deviation rate is controlled within ±1.2%, which further verifies the effect.

[0098] Step 3, in each period, if the reference power and the modified power do not conflict, the transformer is not overloaded and the energy storage overcharge protection is triggered, the first type of modified value is taken as the power adjustment value, the transformer is not overloaded and the energy storage overdischarge protection is triggered, the third type of modified value is taken as the power adjustment value; when the energy storage is normally charged or discharged, if the transformer overload protection is triggered, whether the reference power and the modified power conflict or not, the second type of modified value is taken as the power adjustment value; when the energy storage overcharge and overdischarge protection is not triggered and the transformer overload protection is not triggered, the power adjustment value is determined according to the conflict of the reference power and the modified power.

[0099] According to the reference power and the modified power of each period, the application realizes real-time and accurate regulation and control of the power of the distributed energy storage system through conflict processing, weight distribution and feedback execution. A double-track regulation and control mode of "preset reference + dynamic modification" is adopted, in which the reference power curve is generated based on historical load data, and the modified power is dynamically calculated based on real-time monitoring data. When the two conflict, the priority principle of "device safety priority > power grid stability priority > reference scheduling priority" is followed.

[0100] Specifically, step 3 includes:

[0101] Step 3.1, judge whether the reference power and the modified power conflict or not;

[0102] The reference power and the modified power conflict, including:

[0103] The reference power is less than zero, indicating that the energy storage needs to be charged, and the modified power is greater than zero, indicating that the energy storage needs to be discharged;

[0104] The reference power is greater than zero, indicating that the energy storage needs to be discharged, and the modified power is less than zero, indicating that the energy storage needs to be charged;

[0105] The reference power and the modified power do not conflict, including:

[0106] The reference power is less than zero, indicating that the energy storage needs to be charged, and the modified power is less than zero, indicating that the energy storage needs to be charged;

[0107] The reference power is greater than zero, indicating that the energy storage needs to be discharged, and the modified power is greater than zero, indicating that the energy storage needs to be discharged.

[0108] Step 3.2, in period t, whether the reference power and the modified power conflict or not, if the transformer is not overloaded and the energy storage overcharge protection is triggered, if the reference power and the modified power both need to charge the energy storage and the battery management system does not open the charging circuit, the first type of modified value is taken as the power adjustment value;

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] 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;

[0114] In the embodiment, when the transformer charges the energy storage and the load is greater than 90% of the rated capacity of the transformer, the second type of correction value is 50% of the rated power of the energy storage, and at this time, the small power charging mode is run to reduce the reverse power impact;

[0115] Specifically, whether there is a conflict between the reference power and the correction power, at this time, if the transformer overload protection is triggered, the second type of correction value is taken as the power regulation value; in the embodiment, when the transformer supplies power to the load and the load is greater than 90% of the rated capacity of the transformer, the second type of correction value is 0.8 times the transformer overload, and at this time, the limited power discharge mode is run to reduce the transformer overload rate.

[0116] Step 3.4, when the energy storage overcharge and overdischarge protection is not triggered and the transformer overload protection is not triggered within the period t, the power regulation value is determined according to the conflict between the reference power and the correction power;

[0117] Specifically,

[0118] 1) When 20%≤SOC≤80%, the energy storage overcharge and overdischarge protection is not triggered and the transformer overload protection is not triggered, if the reference power is greater than zero indicating that the energy storage needs to be discharged and the correction power is less than zero indicating that the energy storage needs to be charged, the energy storage is switched to the charging mode, and the power regulation value is determined based on the dynamic weight, and the excess power of photovoltaic is preferentially consumed;

[0119] 2) When 20%≤SOC≤80%, the energy storage overcharge and overdischarge protection is not triggered and the transformer overload protection is not triggered, if the reference power is less than zero indicating that the energy storage needs to be charged and the correction power is greater than zero indicating that the energy storage needs to be discharged, the energy storage is switched to the discharging mode, and the reference power is taken as the power regulation value to meet the load demand and provide sufficient network support;

[0120] Wherein, the power regulation value is determined based on the dynamic weight, which includes:

[0121] a1) Taking the absolute value of the difference between the average load of the time period t and the reference power as the ratio of the load deviation coefficient of the time period t to the rated power of the energy storage;

[0122]

[0123] In the formula, is the load deviation coefficient of the time period t, is the reference power of the time period t, is the rated power of the energy storage;

[0124] a2) Using the load deviation coefficient of the time period t and the load fluctuation standard deviation of the time period t ​, an exponential function is used to fit and obtain the weight coefficient for the time period t , as follows:

[0125]

[0126] In the formula, is an exponential function term, which has an amplification effect on the system comprehensive fluctuation and After being superimposed, 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 at small deviations to ensure scheduling stability, and the correction power dominates at large deviations to ensure response flexibility;

[0127] a3), use the weighted sum of the reference power and the correction power as the power adjustment value for each time period, as follows:

[0128]

[0129] In the formula, is the power adjustment value for the time period t;

[0130] When 5% ≤ SOC < 20% or 80% < SOC ≤ 95%, and there is a conflict between the reference power and the correction 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.

[0131] 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 opens the charge and discharge circuit of the energy storage and enters step 3.6 to perform rolling optimization on the reference power.

[0132] When SOC > 95% or SOC < 5%, regardless of the value of the correction power, as long as the regulation 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 and SOC > 95%, or the reference power is greater than zero indicating that energy storage discharging is required and 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.

[0133] 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 charging and discharging instruction, but it is not clear how to execute in the special case of conflict between the reference power and the correction power; and step 3.5 further clarifies that even if there is no correction power (such as zero), as long as the regulation direction of the reference power may cause the SOC to further deviate from the safe range, the BMS needs to cut off the loop and feedback optimization. Step 3.5 avoids the loopholes that may occur only by relying on the correction value mechanism, ensures that the system can perform protection operations according to the "device safety first" principle in extreme conditions regardless of whether the correction power exists, and perfects the overall safety regulation logic.

[0134] The application further provides a distributed energy storage dynamic power regulation system, comprising:

[0135] The data processing module is configured to collect historical load data of a transformer area, calculate reference power of the energy storage in peak-valley electricity price periods and power regulation margins in each period, set a dynamic absorption coefficient based on an SOC of the energy storage, determine a first type of correction value of the energy storage in each period by using the dynamic absorption coefficient and excess power of a photovoltaic power supply, determine a second type of correction value of the energy storage in each period according to a load condition of the transformer, determine a third type of correction value of the energy storage in each period according to the SOC and a rated power of the energy storage, determine an energy storage operation scenario according to the power regulation margins, and take a sum of the first, second and third types of correction values in each period as a correction power of each period under the energy storage operation scenario.

[0136] The power regulation module is configured to, in each period, take the first type of correction value as a power regulation value if the reference power and the correction power do not conflict, the transformer is not overloaded and the overcharging protection of the energy storage is triggered, and take the third type of correction value as the power regulation value if the transformer is not overloaded and the overdischarging protection of the energy storage is triggered; take the second type of correction value as the power regulation value if the transformer overload protection is triggered when the energy storage is normally charged or discharged, regardless of whether the reference power and the correction power conflict; and determine the power regulation value according to the conflict between the reference power and the correction power if the overcharging and overdischarging protections of the energy storage are not triggered and the transformer overload protection is not triggered.

[0137] Specifically, the data processing module is further configured to perform closed-loop rolling optimization of the reference power curve, obtain actual power response data every 3 months to update the historical data, optimize the reference power curve of the next 24 hours, and realize dynamic iterative updating of the regulation strategy; and check the deviation between the reference power and the actual power every 10 minutes, and trigger self-checking when the deviation is greater than 20% of the reference power.

[0138] The historical load data acquisition period is 15 minutes, the reference power is calculated every 15 minutes to update the 24-hour reference power curve, the photovoltaic power prediction data is updated every 5 minutes, and the corrected power is calculated based on real-time data every 5 minutes, so that the two are run in parallel in the time dimension, millisecond-level data synchronization is realized through a data interaction interface, and the real-time performance of the final power regulation instruction is ensured.

[0139] The application of multi-dimensional data in power regulation is proposed, and photovoltaic power data is used to determine whether excess power needs to be absorbed by the energy storage system or whether the energy storage power needs to be released to supplement the power shortage. When the photovoltaic power is excessive, the dynamic absorption coefficient is determined according to the battery SOC to realize the reasonable distribution of the photovoltaic excess power and improve the photovoltaic consumption rate. The transformer load data reflects the load condition of the power grid in real time. When the load is too high, the energy storage system is discharged to reduce the pressure on the transformer. When the load is too low and in the charging period, the charging power is adjusted appropriately to ensure the safe operation of the transformer, reduce the transformer load fluctuation rate, and improve the stability of the power grid. The battery SOC data directly determines the charging and discharging state and power size of the energy storage system, avoiding overcharging or overdischarging of the battery and prolonging the service life of the equipment. Through the synergistic effect of these data, the system can realize accurate power regulation, and various performance indicators are significantly improved. The method proposed in the application can generate a 24-hour basic regulation curve with a 20% regulation margin in advance. Combined with the linkage mechanism of SOC threshold and power regulation, overcharging / overdischarging of the battery is effectively avoided. In addition, the multi-dimensional constraints in the dynamic correction model, such as the photovoltaic absorption coefficient and the transformer load coefficient, form multiple protections, and the optimization of the protection capability of the equipment further improves the safety of the system.

[0140] To verify the effectiveness of the application under typical working conditions, the following representative examples are selected for illustration:

[0141] 1) Mid-peak period regulation scenario: corresponding to the complex working condition of "high load, large photovoltaic power, and medium SOC", used to verify the dynamic response capability of the double-track regulation mechanism when the power direction conflicts;

[0142] In the example, during the mid-peak period (13:00-15:00), the historical load data of the transformer area shows that the average load is 500kW, and the reference power obtained by executing step 1 is 600kW. During this period, the photovoltaic installed capacity is large, such as distributed household photovoltaic centralized power generation. The real-time detection of the excess power of the photovoltaic power supply is 80kW, the current SOC of the energy storage is 75%, the overcharging protection of the energy storage is not triggered, and the transformer load rate is 85%, the overload protection of the transformer is not triggered, the dynamic absorption coefficient k=0.5+(75%-50%)=0.75, and the first type of correction value is-60kW, so 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.

[0143] 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.

[0144] 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%.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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 ≈0.45, the final real-time power calculation is 0.45*480+(1-0.45)*(-180)=133.5kW, i.e. the actual discharge is 133.5kW, which makes the whole system absorb 180kW of photovoltaic excess power. From photovoltaic surge to power adjustment completion, the response is in milliseconds, which is significantly shorter than the prior art (8-10 minutes), and the time period is further used for photovoltaic consumption, verifying the rapid response capability of multi-dimensional data fusion and the effect of improving the photovoltaic consumption rate.

[0151] The present disclosure can be a system, a method, and / or a computer program product. The computer program product can include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present disclosure.

[0152] The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium can be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or punched tape, a holographic storage medium, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.

[0153] Computer readable program instructions described herein can be downloaded to respective computing / processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and / or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and / or edge servers. A network adapter card or network interface in each computing / processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing / processing device.

[0154] Computer readable program instructions for carrying out operations of the present disclosure can be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like, and conventional procedural programming languages such as the "C" programming language or similar programming languages. The computer readable program instructions can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate array (FPGA), or programmable logic array (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present disclosure.

[0155] Finally, it should be noted that the above-mentioned embodiments are merely used to illustrate the technical solutions of the present application, but not to limit it. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that the specific embodiments of the present application can be modified or replaced, and any modification or replacement without departing from the spirit and scope of the present application should be covered in the protection scope of the claims of the present application.

Claims

1. A distributed energy storage dynamic power regulation method, characterized by, The method comprises the following steps: Collecting historical load data of the transformer area, calculating the reference power of the energy storage in the peak and valley electricity price period and the power regulation margin of each period; wherein, the average value of the load in the same time period t in the historical load data of the transformer area for a set number of days is taken as the average load in the time period t; the load and the average load in the same time period t in the historical load data of the transformer area for a set number of days are used to calculate the standard deviation of the load fluctuation in the time period t; the discharge period of the peak segment, the reference power is 1.2 times of the average load in each time period and is a positive value; the charging period of the valley segment, the reference power is 1.2 times of the average load in each time period and is a negative value; the weighted sum of the average load and the standard deviation of the load fluctuation in each period is taken as the power regulation margin of each period; Based on the SOC of the energy storage, a dynamic absorption coefficient is set, the first type of correction value of the power of the energy storage in each period is determined by using the dynamic absorption coefficient and the excess power of the photovoltaic power supply; the second type of correction value of the power of the energy storage in each period is determined according to the load condition of the transformer; the third type of correction value of the power of the energy storage in each period is determined according to the SOC and the rated power of the energy storage; the operation scene of the energy storage is determined according to the power regulation margin; in the operation scene of the energy storage, the sum of the first type of correction value in each period is taken as the correction power in each period to meet the constraint condition; In each period, if the reference power and the correction power do not conflict, the transformer is not overloaded and the overcharge protection of the energy storage is triggered, the first type of correction value is taken as the power regulation value when the overdischarge protection of the energy storage is triggered; when the energy storage is normally charged or discharged, if the transformer overload protection is triggered, whether the reference power and the correction power conflict or not, the second type of correction value is taken as the power regulation value; when the overcharge and overdischarge protections of the energy storage are not triggered and the transformer overload protection is not triggered, the power regulation value is determined according to the conflict of the reference power and the correction power.

2. The distributed energy storage dynamic power regulation method according to claim 1, wherein Dynamic absorption coefficient based on soc of energy storage a product of the excess power of the photovoltaic power source in the time period t and the dynamic absorption coefficient as the first type correction value of the charge and discharge power of the energy storage in the time period t , and when the energy storage needs to be charged, ; When energy storage discharge is required, ; According to the transformer load, the second type of correction value of the charge and discharge power of the energy storage in the time period t is determined ; determine a third type of correction value of the charge-discharge power of the energy storage at the time period t based on the SOC of the energy storage .

3. The distributed energy storage dynamic power regulation method according to claim 2, wherein SOC > 80%, 0.3; SOC < 30%, Has a value of 1; 30%≤ SOC≤ 80%, .

4. The distributed energy storage dynamic power regulation method according to claim 3, wherein When the transformer load is not greater than 90% of the rated capacity of the transformer, the second type of 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 rated capacity of the transformer, the energy storage switches to the discharging mode, and the second type of correction value of the charging and discharging power of the time period t is 0.8 times the transformer overload , and represents energy storage discharging; 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 charging mode, and the second type of correction value of the charging and discharging power of the time period t at 50% of the rated power of the energy storage , and represents that the energy storage is charged.

5. The distributed energy storage dynamic power regulation method according to claim 4, wherein When 5%≤SOC<20%, the third type of correction value of the charge-discharge power No more than 30% of the energy storage rated power, and Indicates that energy storage needs to be discharged; 20%≤ SOC≤ 80% when the third type of correction value of the charge and discharge power is 0; 80% < SOC≤ 95%, the third type of correction value of the charge and discharge power is 10% of the energy storage rated power, and indicates that the energy storage needs to be charged; When the SOC is greater than 95% or less than 5%, the energy storage stops charging and discharging.

6. The distributed energy storage dynamic power regulation method according to claim 2, wherein When the power regulation margin is greater than zero, it indicates that the energy storage needs to be discharged in the time period t, and the sum of the correction power of each period which is greater than zero and has an absolute value less than the absolute value of the power regulation margin is taken as the discharge correction power of the time period t; When the power regulation margin is less than zero, it indicates that the energy storage needs to be charged in the time period t, and the sum of the correction power of each period which is less than zero and has an absolute value less than the absolute value of the power regulation margin is taken as the charge correction power of the time period t.

7. The distributed energy storage dynamic power regulation method according to claim 6, wherein The reference power and the correction power conflict, including: The reference power is less than zero, indicating that the energy storage needs to be charged, and the correction power is greater than zero, indicating that the energy storage needs to be discharged. The reference power is greater than zero, indicating that the energy storage needs to be discharged, and the corrected power is less than zero, indicating that the energy storage needs to be charged; The reference power and the corrected power do not conflict, including: The reference power is less than zero, indicating that the energy storage needs to be charged, and the corrected power is less than zero, indicating that the energy storage needs to be charged; The reference power is greater than zero, indicating that the energy storage needs to be discharged, and the corrected power is greater than zero, indicating that the energy storage needs to be discharged.

8. The distributed energy storage dynamic power regulation method according to claim 7, wherein, Whether there is a conflict between the reference power and the correction power, the transformer is not overloaded, and the energy storage overcharge protection is triggered when SOC > 80% during charging, dynamic absorption coefficient The value is 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 opens the energy storage charging loop.

9. The distributed energy storage dynamic power regulation method according to claim 8, wherein, Regardless of whether the reference power and the corrected power conflict, the transformer is not overloaded, and when the SOC is less than 20%, the energy storage over-discharge protection is triggered, and the third type of correction value is 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 opens the energy storage discharge circuit.

10. The distributed energy storage dynamic power regulation method according to claim 9, wherein, When 20%≤SOC≤80%, the energy storage is normally charged, the transformer charges the energy storage, and if the load is greater than 90% of the rated capacity of the transformer, the transformer overload protection is triggered, and whether there is a conflict between the reference power and the modified power, the second type of modified value is used as a power regulation value; When 20%≤SOC≤80%, the energy storage normally discharges, the transformer supplies power to the load and the load is greater than 90% of the rated capacity of the transformer, the transformer overload protection is triggered, and whether there is a conflict between the reference power and the corrected power, the second type of correction value is taken as a power regulation value.

11. The distributed energy storage dynamic power regulation method according to claim 10, wherein, When the SOC is between 20% and 80%, the energy storage over-charge and over-discharge protection is not triggered, and the transformer overload protection is not triggered, if the reference power is greater than zero, indicating that the energy storage needs to be discharged, and the corrected power is less than zero, indicating that the energy storage needs to be charged, the energy storage switches to the charging mode, and the power regulation value is determined based on the dynamic weight; When the SOC is between 20% and 80%, the energy storage over-charge and over-discharge protection is not triggered, and the transformer overload protection is not triggered, if the reference power is less than zero, indicating that the energy storage needs to be charged, and the corrected power is greater than zero, indicating that the energy storage needs to be discharged, the energy storage switches to the discharging mode, and the reference power is used as the power regulation value.

12. The distributed energy storage dynamic power regulation method according to claim 11, wherein, the average load of the time period t the ratio of the absolute value of the difference from the reference power to the rated power of the energy storage, as the load deviation coefficient of the time period t ; using the load deviation coefficient of the time period t and the load fluctuation standard deviation of the time period t , the weight coefficient of the time period t is fitted using an exponential function as follows: 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, is the power adjustment value for the time period t.

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

14. A distributed energy storage dynamic power conditioning system for implementing the distributed energy storage dynamic power conditioning method of any one of claims 1 to 13, characterized in that, including: The data processing module is used for collecting the historical data of the load of the transformer area, calculating the reference power of the energy storage in the peak-valley electricity price period and the power regulation margin of each period; wherein, the average value of the load of the same time period t in the historical data of the load of the transformer area of the set number of days is taken as the average load of the time period t; the load and the average load of the same time period t in the historical data of the load of the transformer area of the set number of days are used to calculate the standard deviation of the load fluctuation of the time period t; the reference power is 1.2 times of the average load of each time period and is a positive value in the peak period discharging period; the reference power is 1.2 times of the average load of each time period and is a negative value in the valley period charging period; the weighted sum of the average load and the standard deviation of the load fluctuation of each period is taken as the power regulation margin of each period; the dynamic absorption coefficient is set based on the SOC of the energy storage, the first type of correction value of the power of the energy storage in each period is determined by using the dynamic absorption coefficient and the excess power of the photovoltaic power supply; the second type of correction value of the power of the energy storage in each period is determined according to the load condition of the transformer; the third type of correction value of the power of the energy storage in each period is determined according to the SOC and the rated power of the energy storage; the operation scene of the energy storage is determined according to the power regulation margin; in the operation scene of the energy storage, the sum of the correction values of each type in each period that meets the constraint condition is taken as the correction power of each period; The power regulation module is used for each period, if the reference power and the correction power do not conflict, the transformer is not overloaded and the overcharge protection of the energy storage is triggered, the first type of correction value is taken as the power regulation value, the transformer is not overloaded and the overdischarge protection of the energy storage is triggered, the third type of correction value is taken as the power regulation value; when the energy storage is normally charged or discharged, if the transformer overload protection is triggered, whether the reference power and the correction power conflict or not, the second type of correction value is taken as the power regulation value; when the overcharge and overdischarge protection of the energy storage is not triggered and the transformer overload protection is not triggered, the power regulation value is determined according to the conflict of the reference power and the correction power.

15. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used for storing instructions; The processor is used for operating according to the instructions to perform the steps of the method of any one of claims 1-13.

16. A computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to realize the steps of the method of any one of claims 1-13.

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