Integrated energy storage transformer capable of meeting peak electricity demand

Through modular analysis of integrated energy storage transformers, the problem of disconnection between energy storage capacity configuration and actual demand was solved, efficient coordinated operation of the energy storage system and the power grid was achieved, and the reliability and economy of the system were improved.

CN120728685AActive Publication Date: 2025-09-30GUIZHOU TIANREN ELECTRIC POWER TECH AUTOMATION CO LTD
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Patent Information

Application Number
CN202511149688.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-18
Publication Date
2025-09-30
Estimated Expiration
2045-08-18

AI Technical Summary

Technical Problem

Existing technologies lack comprehensive energy storage demand correction analysis based on equipment losses and transmission losses, resulting in a disconnect between energy storage capacity configuration and actual demand, and a lack of dynamic adjustment of grid power limit thresholds, leading to insufficient system efficiency and safety.

Method used

Through the energy storage demand calculation module, equipment loss correction module, transmission loss correction module and grid power configuration module, habitual peak demand, equipment loss and transmission loss are analyzed respectively to generate accurate energy storage demand and adjust the charging power according to the grid power limit threshold.

Benefits of technology

It achieves precise compensation for energy storage needs, improves the system's response to peak loads, optimizes equipment life management and grid compatibility, and enhances the system's reliability and economy.

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Abstract

The invention belongs to the technical field of charging and discharging monitoring of energy storage transformers, and discloses an integrated energy storage transformer meeting the peak electricity demand. According to the method, the equipment loss and the power transmission loss are analyzed respectively, so that the energy storage demand is corrected, the energy loss of the whole process can be accurately compensated, and the capacity configuration deviation is avoided. Therefore, the energy storage demand better fits the actual operation scene, the response capability of the system to the peak load is improved, and the compatibility of the equipment life management and the power grid is optimized. According to the invention, the charging power of the energy storage equipment is generated based on the preset power grid power limit threshold and the corrected energy storage demand, and the actual bearing capacity of the power grid can be dynamically matched. Safety risks caused by charging overload can be avoided through threshold value limitation, the power grid capacity can be utilized to the maximum within the allowable range, and the charging efficiency is improved. According to the mode, the balance between the power grid safety and the energy storage efficiency is realized, and the cooperative operation mechanism of the energy storage equipment and the power grid is optimized.
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Description

Technical Field

[0001] The present invention belongs to the technical field of charge and discharge monitoring of energy storage transformers, and relates to an integrated energy storage transformer that meets peak power demand. Background Art

[0002] The integrated energy storage transformer is a new type of power equipment that deeply integrates the energy conversion function of a traditional transformer with an energy storage system. Its integrated design enables the coordinated operation of voltage conversion, energy storage, and energy release. By deeply integrating energy conversion and energy storage, the integrated energy storage transformer transcends the single-function limitations of traditional equipment and becomes a key component in improving energy efficiency and optimizing grid operations in new power systems.

[0003] Existing technical solutions often lack comprehensive energy storage demand correction analysis based on equipment and transmission losses. This analysis method can lead to a disconnect between energy storage capacity configuration and actual demand. Failure to consider equipment losses such as resistance changes due to transformer temperature and battery discharge efficiency degradation can easily result in calculated energy storage capacity being unable to cope with actual losses, resulting in insufficient peak energy or equipment damage. Simultaneously, ignoring transmission losses such as line resistance and power conversion devices further reduces system efficiency. The lack of coordinated correction for multi-link losses makes it difficult to form a complete closed loop from demand calculation to power configuration, resulting in poor compatibility between energy storage systems and the grid, and insufficient economic and reliability.

[0004] Existing technical solutions also lack adaptive selection and judgment of energy storage device charging power based on a preset grid power limit threshold and the modified energy storage demand, and are unable to dynamically adjust charging power based on the actual grid carrying capacity. This can result in charging power exceeding grid load, posing a safety hazard, or underutilizing grid capacity, resulting in low charging efficiency. This makes it difficult to achieve a balance between grid safety and energy storage efficiency, reducing the reliability and economic efficiency of system operation. Summary of the Invention

[0005] In view of this, in order to solve the problems raised in the above background technology, an integrated energy storage transformer that meets peak power demand is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: an integrated energy storage transformer that meets peak power demand, including: an energy storage demand calculation module, which analyzes the habitual peak demand power and peak duration based on historical power consumption records, and then calculates the energy storage demand.

[0007] The equipment loss correction module analyzes transformer loss correction and energy storage unit storage correction based on historical electricity consumption records and equipment usage records, and then constructs an equipment loss correction coefficient set.

[0008] The transmission loss correction module analyzes power conversion losses and line connection losses based on historical electricity consumption records and equipment usage records, and then constructs a set of transmission loss correction coefficients.

[0009] The energy storage demand correction module combines the energy storage demand, equipment loss correction coefficient and transmission loss correction coefficient to calculate and correct the energy storage demand.

[0010] The grid power configuration module generates the energy storage device charging power based on the preset grid power limit threshold and the corrected energy storage demand.

[0011] Compared with the existing technology, the present invention has the following beneficial effects: (1) By analyzing equipment loss and transmission loss separately and then correcting the energy storage demand, the present invention can accurately compensate for energy loss in the entire process and avoid capacity configuration deviation. This makes the energy storage demand more consistent with the actual operation scenario, improves the system's response to peak loads, optimizes equipment life management and grid compatibility, and enhances the reliability and economy of the energy storage system.

[0012] (2) The present invention generates the charging power of the energy storage device based on a preset grid power limit threshold and the modified energy storage demand, which can dynamically match the actual carrying capacity of the grid. This not only avoids safety risks caused by charging overload through threshold limits, but also maximizes the utilization of grid capacity within the permitted range and improves charging efficiency. This approach achieves a balance between grid safety and energy storage efficiency, optimizes the coordinated operation mechanism of energy storage devices and the grid, and enhances the reliability and economy of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0014] Figure 1 This is a schematic diagram of the connection of various modules of the system of the present invention.

[0015] Figure 2 A flowchart of determining the charging power setting of an energy storage device corresponding to an embodiment provided by the present invention.

[0016] Figure 3 A flowchart for determining peak power consumption period corresponding to an embodiment provided by the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, the present invention provides an integrated energy storage transformer that meets peak power demand, including an energy storage demand calculation module, an equipment loss correction module, a transmission loss correction module, an energy storage demand correction module and a grid power configuration module, wherein the energy storage demand calculation module is connected to the equipment loss correction module and the transmission loss correction module respectively, the equipment loss correction module and the transmission loss correction module are both connected to the energy storage demand correction module, and the energy storage demand correction module is connected to the grid power configuration module.

[0019] The energy storage demand calculation module is used to analyze the customary peak demand power and peak duration based on historical electricity consumption records, and then calculate the energy storage demand.

[0020] In a preferred embodiment of the present invention, the specific method of analyzing the habitual peak demand power and peak duration is as follows: based on the historical power consumption records within the preset monitoring period, they are classified according to the same period to obtain the historical power consumption records corresponding to each period.

[0021] It should be explained that the preset monitoring period is a fixed time interval set in advance for classifying and compiling historical electricity consumption records. For example, it can be set to the past three months based on the current time.

[0022] It should be noted that historical electricity consumption records are classified by the same time period to ensure that electricity consumption data on different dates and periods can be compared within the same time frame, which facilitates the identification of regular peak electricity consumption patterns. Specifically, the present invention divides the natural day into time periods, with each time period being 4 hours, and further divides the natural day into: 、 、 、 、 、 .

[0023] The total electricity consumption of the electricity consuming unit corresponding to each historical electricity consumption record in each time period is obtained, and then the average value is calculated to obtain the habitual total electricity consumption of the electricity consuming unit corresponding to each time period.

[0024] See also Figure 3As shown, the total customary electricity consumption corresponding to each time period is averaged to obtain the average electricity consumption, and then the total customary electricity consumption corresponding to each time period is compared with the average electricity consumption. The time period when the total customary electricity consumption is greater than or equal to the average electricity consumption is recorded as the peak electricity consumption period, otherwise it is recorded as the low electricity consumption period.

[0025] The customary power consumption of the power consuming unit during each peak power consumption period is accumulated to obtain the customary peak power consumption, and the duration of each peak power consumption period is accumulated to obtain the peak duration.

[0026] The customary peak power demand is calculated by calculating the ratio of the customary peak power consumption and the peak duration.

[0027] In a preferred embodiment of the present invention, the specific method for calculating the energy storage demand is as follows: multiplying the required power during the peak period by the duration of the peak period, and then dividing it by the product of the battery discharge efficiency and the battery discharge depth to generate the energy storage demand, wherein the discharge efficiency and the battery discharge depth are obtained from relevant usage documents and equipment research and development data.

[0028] In a preferred embodiment, the calculation formula for the energy storage demand can be ,in represents the energy storage demand, Indicates the power demand during peak hours. Indicates the duration of the peak. They represent discharge efficiency and battery discharge depth respectively.

[0029] It needs further explanation that battery discharge efficiency refers to the ratio of actual output electrical energy to stored electrical energy when the battery is discharged, reflecting the energy loss in the discharge process; battery discharge depth refers to the ratio of battery discharge capacity to rated capacity, which is usually determined by battery type and life requirements.

[0030] The equipment loss correction module is used to analyze transformer loss correction and energy storage unit storage correction based on historical power consumption records and equipment usage records, and then construct an equipment loss correction coefficient set.

[0031] In a preferred embodiment of the present invention, the specific analysis process of the transformer loss correction is as follows: based on the transformer model, the DC resistance of the winding under rated working conditions and the rated test temperature are obtained, and the temperature constant of the transformer material is obtained.

[0032] The temperature monitoring device is used to obtain the maximum temperature of the transformer during the monitoring period.

[0033] Based on the rated test temperature, the transformer material temperature constant and the maximum temperature of the transformer during the monitoring period, the DC resistance of the winding under the rated working condition is corrected and calculated using a resistance correction analysis formula to obtain the corrected DC resistance of the winding.

[0034] In a preferred embodiment, the resistance correction analysis formula may be: ,in It represents the DC resistance of the winding after correction. represents the temperature constant of the transformer material, Indicates the DC resistance of the winding under rated operating conditions, Indicates the rated test temperature, Indicates the maximum temperature of the transformer during the monitoring period.

[0035] It is worth further explaining that the design idea of ​​the above formula is: the resistance of a metal conductor changes with temperature, generally following an approximately linear relationship. When the temperature rises, the thermal motion of atoms inside the conductor intensifies, the directional movement of electrons is hindered more, and the resistance increases; when the temperature drops, the resistance decreases.

[0036] Furthermore, in the above formula is the resistance correction factor. When the maximum transformer temperature during the monitoring period is equal to the rated test temperature, that is, the actual operating temperature is equal to the rated test temperature, the resistance correction factor is 1. The DC resistance of the winding under rated operating conditions is equal to the corrected DC resistance of the winding, indicating that no resistance correction is required. When the maximum transformer temperature during the monitoring period is greater than the rated test temperature, the actual operating temperature is higher than the rated test temperature, and the resistance correction factor is greater than 1, resulting in an increased resistance after correction. When the maximum transformer temperature during the monitoring period is less than the rated test temperature, the actual operating temperature is lower than the rated test temperature, and the resistance correction factor is less than 1, resulting in a decreased resistance after correction. The resistance correction analysis formula can be used to reasonably correct the resistance value under rated operating conditions based on the actual operating temperature, providing a more realistic resistance value for accurate calculation of transformer losses and other parameters.

[0037] The transformer loss correction amount is calculated by multiplying the corrected winding DC resistance, peak duration, and the square of the average monitored effective current during each peak power consumption period obtained based on historical power consumption records.

[0038] It should be noted that the average monitored effective current refers to the average effective current calculated by monitoring and statistically analyzing the current during each peak power consumption period based on historical power consumption records.

[0039] It should be noted that the construction process of the transformer loss correction value is based on the analysis of Joule's law.

[0040] In a preferred embodiment of the present invention, the specific analysis process for the energy storage unit storage correction is as follows: based on the discharge efficiency-temperature mapping relationship corresponding to the energy storage unit, the maximum temperature of the transformer during the monitoring period is matched with it to obtain the actual discharge efficiency of the energy storage unit, and the relative deviation between the actual discharge efficiency and the preset battery discharge efficiency is analyzed to obtain the discharge efficiency correction degree, which is then multiplied by the energy storage demand to obtain the discharge efficiency impact correction amount.

[0041] It's important to explain that the discharge efficiency-temperature mapping reflects how the energy storage unit's discharge efficiency changes with temperature. It's based on historical measured data. For example, the discharge efficiency of the energy storage unit is measured multiple times at different temperatures, and then a mathematical model is used to establish the corresponding relationship between temperature and discharge efficiency.

[0042] It should be noted that the discharge efficiency correction reflects the degree of deviation of the actual discharge efficiency from the discharge efficiency under standard operating conditions. In energy storage systems, temperature significantly affects the discharge efficiency of energy storage units. Through the above calculation steps, the changes in discharge efficiency can be accurately assessed based on the actual operating temperature, and the impact of these changes on energy storage demand can be further quantified. This allows for more accurate consideration of efficiency losses caused by temperature factors when configuring energy storage equipment, avoiding improper energy storage capacity configuration due to changes in discharge efficiency and enabling it to better meet peak electricity demand.

[0043] The rated number of cycles and the theoretical number of cycles of the energy storage unit are obtained, and then the ratio is calculated to obtain the capacity attenuation coefficient. The battery discharge depth is multiplied by the capacity attenuation coefficient to obtain the battery discharge depth attenuation. The battery discharge depth and the battery discharge depth attenuation are then subtracted and the ratio is calculated with the battery discharge depth to obtain the battery discharge depth attenuation coefficient.

[0044] It's important to explain that the rated cycle count refers to the number of complete charge-discharge cycles, from full charge to discharge and back to full charge, that an energy storage unit can complete under normal use and specified conditions. It's a key metric for measuring battery life and is determined by battery manufacturers based on product characteristics and testing standards. The theoretical cycle count threshold is a reference value determined based on battery design principles, material properties, and other factors, used for comparative analysis of actual battery cycle life. It can be an industry standard, a theoretically calculated value, or an empirical value derived from statistical testing of a large number of similar batteries.

[0045] It should be noted that the capacity decay coefficient reflects the relative degree of battery capacity decay within a specified number of cycles. If the capacity decay coefficient is less than 1, it means that the battery capacity has decayed within the specified number of cycles; if it is equal to 1, it means that the battery capacity has not decayed.

[0046] It should be noted that during the operation of an energy storage system, the battery will experience capacity decay as the number of charge and discharge cycles increases, which will affect the battery's depth of discharge and overall energy storage performance. By calculating these parameters, we can accurately assess the changes in the battery's actual discharge capacity at different cycle stages.

[0047] The discharge depth impact correction amount is calculated by multiplying the battery discharge depth attenuation coefficient by the energy storage requirement.

[0048] In a preferred embodiment of the present invention, the equipment loss correction coefficient set includes a total equipment loss correction amount, a transformer loss correction amount, and an energy storage unit storage correction amount, wherein the total equipment loss correction amount is obtained by summing the transformer loss correction amount and the energy storage unit storage correction amount, and the energy storage unit storage correction amount is obtained by summing the discharge efficiency impact correction amount and the discharge depth impact correction amount.

[0049] The transmission loss correction module is used to analyze power conversion losses and line connection losses based on historical power consumption records and equipment usage records, and then construct a transmission loss correction coefficient set.

[0050] In a preferred embodiment of the present invention, the specific analysis method of the power conversion loss is as follows: obtaining the types and corresponding quantities of semiconductor devices in the AC / DC conversion process of the energy storage transformer, and obtaining the conduction loss of each type of semiconductor device.

[0051] The average conduction loss is obtained by averaging the conduction losses of the semiconductor devices in the AC / DC conversion process of the energy storage transformer.

[0052] The power conversion loss is calculated by multiplying the average conduction loss by the energy storage requirement.

[0053] It should be noted that conduction loss is a significant component of energy loss during the AC / DC conversion process of an energy storage transformer. Accurately measuring conduction loss helps evaluate the efficiency of the entire energy storage transformer during the energy conversion process.

[0054] In a preferred embodiment of the present invention, the line connection loss is specifically analyzed as follows: obtaining the line length and customary peak demand power of each load unit corresponding to the power consumption unit, and simultaneously obtaining the line cross-sectional area of ​​each load unit.

[0055] Using the current calculation formula Analyze and obtain the line current of each load unit ,in Indicates the customary peak power demand of each load unit, Indicates the transmission voltage, Indicates the number of the load unit, , Indicates the number of load cells.

[0056] According to the law of resistance Analyze and obtain the total line resistance of each load unit ,in represents the resistivity of the wire material of each load unit, Indicates the line length of each load unit, Indicates the line cross-sectional area of ​​each load unit.

[0057] Then use the formula Analyze and obtain the line connection loss coefficient , the line connection loss coefficient is multiplied by the energy storage demand to obtain the line connection loss.

[0058] In a preferred embodiment of the present invention, the transmission loss correction coefficient set includes a total transmission loss correction amount, a power conversion loss amount, and a line connection loss amount, wherein the total transmission loss correction amount is obtained by summing the power conversion loss amount and the line connection loss amount.

[0059] The energy storage demand correction module is used to combine the energy storage demand, the equipment loss correction coefficient and the transmission loss correction coefficient to calculate and correct the energy storage demand.

[0060] In a preferred embodiment, the specific method of calculating the corrected energy storage demand is as follows: the energy storage demand, the total amount of equipment loss correction, and the total amount of transmission loss correction are summed to obtain the corrected energy storage demand.

[0061] It should be noted that this invention analyzes both equipment and transmission losses separately, and then adjusts energy storage requirements to accurately compensate for energy losses throughout the entire process, avoiding capacity misallocation. This allows energy storage requirements to better align with actual operating scenarios, improving the system's responsiveness to peak loads, while optimizing equipment lifespan management and grid compatibility, enhancing the reliability and cost-effectiveness of the energy storage system.

[0062] The grid power configuration module is used to generate energy storage device charging power based on a preset grid power limit threshold and the corrected energy storage demand.

[0063] In a preferred embodiment of the present invention, the specific method of generating the charging power of the energy storage device is as follows: using the formula Analyze and obtain the required charging power ,in represents the corrected energy storage requirement, Indicates the charge and discharge rate, Indicates the duration of the peak.

[0064] It's important to note that the charge / discharge rate is an important indicator of battery charge and discharge speed. A higher charge / discharge rate indicates faster charging. The charge / discharge rate is the ratio of the charge / discharge current to the battery's rated capacity. For example, a 1C charge means charging is complete within 1 hour, so the charge / discharge rate is 1.

[0065] See also Figure 2 As shown, the preset grid power limit threshold is compared with the required charging power. If the required charging power is greater than the grid power limit threshold, the grid power limit threshold is used as the charging power of the energy storage device. If the required charging power is less than or equal to the grid power limit threshold, the required charging power is used as the charging power of the energy storage device.

[0066] It should be noted that the grid power limit threshold is primarily determined based on the safe carrying capacity of the grid infrastructure, such as physical parameters like grid transformer capacity and transmission line current carrying capacity. This ensures that the charging power of the energy storage device does not cause grid overload tripping or line damage. The power quota in the user's electricity agreement and real-time load data from the grid dispatcher are also referenced to determine the upper limit of safety, either dynamically or statically, to ensure stable grid operation and normal power consumption for other users. This threshold must be determined during the energy storage system design phase through a comprehensive grid survey and load calculation to ensure it matches the charging needs of the energy storage device and achieve a balance between safety and efficiency.

[0067] It's important to note that the core logic of this step is to ensure that the energy storage device's charging power remains within the grid's safe and controllable range by comparing the required charging power with the grid's power limit. This prevents the charging power from exceeding the grid's load limit, potentially leading to overloads that could cause tripping, line damage, or decreased power supply stability. Furthermore, it ensures that the energy storage system matches the grid's capacity, preventing power mismatches that could cause equipment malfunction or inefficiency.

[0068] It should be noted that the present invention dynamically matches the actual grid carrying capacity by generating energy storage device charging power based on a preset grid power limit threshold and the modified energy storage demand. This approach not only avoids safety risks caused by charging overloads through threshold limits, but also maximizes grid capacity utilization within the permitted range, improving charging efficiency. This approach achieves a balance between grid safety and energy storage efficiency, optimizes the coordinated operation mechanism of energy storage devices and the grid, and enhances the reliability and cost-effectiveness of the system.

[0069] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. An integrated energy storage transformer that meets peak power demand, characterized in that: include: The energy storage demand calculation module analyzes the customary peak demand power and peak duration based on historical electricity consumption records, and then calculates the energy storage demand; The equipment loss correction module analyzes transformer loss correction and energy storage unit storage correction based on historical power consumption records and equipment usage records, and then constructs an equipment loss correction coefficient set; The transmission loss correction module analyzes power conversion losses and line connection losses based on historical power consumption records and equipment usage records, and then constructs a set of transmission loss correction coefficients; The energy storage demand correction module combines the energy storage demand, equipment loss correction coefficient, and transmission loss correction coefficient to calculate and correct the energy storage demand; The grid power configuration module generates the energy storage device charging power based on the preset grid power limit threshold and the corrected energy storage demand.

2. The integrated energy storage transformer for meeting peak power demand according to claim 1, characterized in that: The specific method of analyzing the customary peak demand power and peak duration is as follows: Based on the historical electricity consumption records within the preset monitoring period, the historical electricity consumption records corresponding to each period are classified according to the same period; Obtain the total electricity consumption of the electricity-consuming unit corresponding to each historical electricity consumption record in each time period, and then perform average calculation to obtain the customary total electricity consumption of the electricity-consuming unit corresponding to each time period; The average electricity consumption is calculated by averaging the total electricity consumption corresponding to each time period. The average electricity consumption is then compared with the total electricity consumption corresponding to each time period. The time period when the total electricity consumption is greater than or equal to the average electricity consumption is recorded as the peak electricity consumption period, and vice versa. The customary power consumption of the power user during each peak power consumption period is accumulated to obtain the customary peak power consumption, and the duration of each peak power consumption period is accumulated to obtain the peak duration; The customary peak power demand is calculated by calculating the ratio of the customary peak power consumption and the peak duration.

3. The integrated energy storage transformer for meeting peak power demand according to claim 1, characterized in that: The specific method for calculating the energy storage demand is as follows: The energy storage demand is generated by multiplying the power demand during the customary peak by the duration of the peak, and then dividing it by the product of the battery discharge efficiency and the battery discharge depth. The discharge efficiency and battery discharge depth are obtained from relevant usage documents and equipment R&D data.

4. The integrated energy storage transformer for meeting peak power demand according to claim 2, characterized in that: The specific analysis process of the transformer loss correction is as follows: Based on the transformer model, obtain the DC resistance of the winding under rated operating conditions and the rated test temperature, and obtain the temperature constant of the transformer material; Using the temperature monitoring device to obtain the maximum temperature of the transformer during the monitoring period; Based on the rated test temperature, the transformer material temperature constant and the maximum temperature of the transformer during the monitoring period, the DC resistance of the winding under the rated working condition is corrected and calculated using the resistance correction analysis formula to obtain the corrected DC resistance of the winding; The transformer loss correction amount is calculated by multiplying the corrected winding DC resistance, peak duration, and the square of the average monitored effective current during each peak power consumption period obtained based on historical power consumption records.

5. The integrated energy storage transformer for meeting peak power demand according to claim 4, characterized in that: The specific analysis process of the energy storage unit storage correction is as follows: Based on the discharge efficiency-temperature mapping relationship corresponding to the energy storage unit, the maximum temperature of the transformer during the monitoring period is matched with it to obtain the actual discharge efficiency of the energy storage unit. The relative deviation between the actual discharge efficiency and the preset battery discharge efficiency is analyzed to obtain the discharge efficiency correction degree, which is then multiplied by the energy storage demand to obtain the discharge efficiency impact correction amount. Obtain the rated number of cycles and the theoretical number of cycles threshold of the energy storage unit, and then perform ratio calculation to obtain the capacity attenuation coefficient. Multiply the battery discharge depth by the capacity attenuation coefficient to obtain the battery discharge depth attenuation value. Then, perform the difference calculation between the battery discharge depth and the battery discharge depth attenuation value, and then perform the ratio calculation with the battery discharge depth to obtain the battery discharge depth attenuation coefficient. The discharge depth impact correction amount is calculated by multiplying the battery discharge depth attenuation coefficient by the energy storage requirement.

6. The integrated energy storage transformer for meeting peak power demand according to claim 5, characterized in that: The equipment loss correction coefficient set includes a total equipment loss correction amount, a transformer loss correction amount, and an energy storage unit storage correction amount, wherein the total equipment loss correction amount is obtained by summing the transformer loss correction amount and the energy storage unit storage correction amount, and the energy storage unit storage correction amount is obtained by summing the discharge efficiency impact correction amount and the discharge depth impact correction amount.

7. The integrated energy storage transformer for meeting peak power demand according to claim 1, characterized in that: The specific analysis method of the power conversion loss is as follows: Obtain the types and corresponding quantities of semiconductor devices in the AC / DC conversion process of the energy storage transformer, and obtain the conduction loss of each type of semiconductor device; The average conduction loss of each semiconductor device in the AC / DC conversion process of the energy storage transformer is calculated by averaging the conduction loss; The power conversion loss is calculated by multiplying the average conduction loss by the energy storage requirement.

8. The integrated energy storage transformer for meeting peak power demand according to claim 7, characterized in that: The specific analysis method of the line connection loss is as follows: Obtain the line length and customary peak demand power of each load unit corresponding to the power consumption unit, and obtain the line cross-sectional area of ​​each load unit; Using the current calculation formula Analyze and obtain the line current of each load unit ,in Indicates the customary peak power demand of each load unit, Indicates the transmission voltage, Indicates the number of the load unit, , Indicates the number of load units; According to the law of resistance Analyze and obtain the total line resistance of each load unit ,in represents the resistivity of the wire material of each load unit, Indicates the line length of each load unit, Indicates the line cross-sectional area of ​​each load unit; Then use the formula Analyze and obtain the line connection loss coefficient , the line connection loss coefficient is multiplied by the energy storage demand to obtain the line connection loss.

9. The integrated energy storage transformer for meeting peak power demand according to claim 8, characterized in that: The transmission loss correction coefficient set includes a total transmission loss correction amount, a power conversion loss amount, and a line connection loss amount, wherein the total transmission loss correction amount is obtained by summing the power conversion loss amount and the line connection loss amount.

10. The integrated energy storage transformer for meeting peak power demand according to claim 1, characterized in that: The specific method of generating the charging power of the energy storage device is as follows: Using the formula Analyze and obtain the required charging power ,in represents the corrected energy storage requirement, Indicates the charge and discharge rate, Indicates the duration of the peak; The preset grid power limit threshold is compared with the required charging power. If the required charging power is greater than the grid power limit threshold, the grid power limit threshold is used as the charging power of the energy storage device. If the required charging power is less than or equal to the grid power limit threshold, the required charging power is used as the charging power of the energy storage device.

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