An integrated energy storage transformer to meet peak demand

Abstract

The present application belongs to the technical field of energy storage transformer charging and discharging monitoring, and discloses an integrated energy storage transformer meeting peak electricity demand. The present application can precisely compensate the energy loss of the whole process by respectively analyzing the equipment loss and power transmission loss and then correcting the energy storage demand, thereby avoiding capacity configuration deviation. The energy storage demand is more in line with the actual operation scenario, the response capability of the system to peak load is improved, and the equipment life management and power grid compatibility are optimized. The present application generates the charging power of the energy storage equipment based on the preset power grid power limit threshold and the corrected energy storage demand, so as to dynamically match the actual carrying capacity of the power grid. The charging overload safety risk can be avoided by threshold limitation, and the power grid capacity can be maximized within the allowable range to improve the charging efficiency. This mode balances the safety of the power grid and the efficiency of the energy storage, and optimizes the cooperative operation mechanism of the energy storage equipment and the power grid.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of energy storage transformer charging and discharging monitoring, and relates to an integrated energy storage transformer meeting peak electricity demand. BACKGROUND

[0002] The integrated energy storage transformer is a new type of power equipment that deeply integrates the power conversion function of traditional transformers with energy storage systems. Through integrated design, it realizes the coordinated operation of voltage conversion, energy storage and release. Through the deep integration of power conversion and energy storage, the integrated energy storage transformer breaks through the single function limitation of traditional equipment and becomes a key equipment for improving energy efficiency and optimizing power grid operation in new power systems.

[0003] The prior art solution usually lacks comprehensive energy storage demand correction analysis based on equipment loss and transmission loss, which can cause the energy storage capacity configuration to be inconsistent with the actual demand. Without considering the resistance change under the influence of transformer temperature, battery discharge efficiency decay and other equipment losses, the calculated energy storage capacity cannot cope with the real loss, causing insufficient peak energy or equipment damage; ignoring the line resistance, power conversion devices and other transmission losses can further reduce system efficiency, and lack of multi-link loss coordination correction, making it difficult to form a complete closed loop from demand calculation to power configuration, resulting in low matching degree of energy storage system and power grid, insufficient economy and reliability.

[0004] The prior art solution also lacks energy storage device charging power adaptive selection judgment based on the preset power grid power limit threshold and the corrected energy storage demand, which cannot dynamically adjust the charging power according to the actual carrying capacity of the power grid. It may cause safety hazards due to excessive charging power, or low charging efficiency due to insufficient use of power grid capacity, making it difficult to balance between power grid safety and energy storage efficiency, reducing the reliability and economy of system operation. SUMMARY

[0005] In view of this, in order to solve the problems raised in the background art, an integrated energy storage transformer meeting peak electricity demand is proposed.

[0006] The purpose of the application can be achieved by the following technical solution: an integrated energy storage transformer meeting peak electricity demand, comprising: an energy storage demand calculation module, which analyzes habit peak demand power and peak duration based on historical electricity records, and then calculates energy storage demand.

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

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

[0009] The energy storage demand correction module jointly calculates corrected energy storage demand based on energy storage demand, equipment loss correction coefficients and power transmission loss correction coefficients.

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

[0011] Compared with the prior art, the present application has the following advantages: (1) The present application corrects the energy storage demand by analyzing equipment loss and power transmission loss respectively, which can accurately compensate the energy loss in the whole process and avoid capacity configuration deviation. The energy storage demand is more suitable for actual operation scenarios, which improves the response capability of the system to peak load, optimizes equipment life management and power grid compatibility, and enhances the reliability and economy of the energy storage system.

[0012] (2) The present application generates energy storage device charging power based on a preset power grid power limit threshold and the corrected energy storage demand, which can dynamically match the actual carrying capacity of the power grid. It can avoid safety risks caused by overcharging through threshold limitation, and maximize the use of power grid capacity within the allowable range to improve charging efficiency. This method balances the safety of the power grid and the efficiency of the energy storage, optimizes the cooperative operation mechanism of the energy storage device and the power grid, and enhances the reliability and economy of the system. BRIEF DESCRIPTION OF DRAWINGS

[0013] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0014] Figure 1 It is a schematic diagram of the modules of the system of the present application.

[0015] Figure 2 It is a flow chart of the charging power setting judgment process corresponding to an embodiment provided by the present application.

[0016] Figure 3 It is a flow chart of the judgment process of the power consumption peak period corresponding to an embodiment provided by the present application. DETAILED DESCRIPTION

[0017] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described, obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work belong to the protection scope of the present application.

[0018] Please refer to Figure 1 As shown in the figure, the present application provides an integrated energy storage transformer meeting peak electricity demand, comprising an energy storage demand calculation module, an equipment loss correction module, a power transmission loss correction module, an energy storage demand correction module and a power grid power configuration module, wherein the energy storage demand calculation module is connected with the equipment loss correction module and the power transmission loss correction module respectively, the equipment loss correction module and the power transmission loss correction module are connected with the energy storage demand correction module, and the energy storage demand correction module is connected with the power grid power configuration module.

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

[0020] In a preferred embodiment of the present application, the specific way of analyzing the habit peak demand power and the peak duration is as follows: based on the historical electricity consumption records in the preset monitoring period, the historical electricity consumption records corresponding to each time period are obtained by classifying according to the same time period.

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

[0022] It should be noted that the historical electricity consumption records are classified according to the same time period, which ensures that the electricity consumption data of different dates and different periods are compared under the same time framework, so as to identify the regular electricity peak mode. Specifically, the present application divides the natural day into time periods, each 4 hours as a time period, and then divides the natural day into: 、 、 、 、 、 .

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

[0024] Please refer to Figure 3As shown, the average power consumption is obtained by averaging the total habit power consumption of each time period, and then the total habit power consumption of each time period is compared with the average power consumption, the time period with total habit power consumption greater than or equal to the average power consumption is recorded as the power peak time period, and vice versa.

[0025] The habit peak power consumption is obtained by accumulating the habit power consumption of the power unit in each power peak time period, and the peak duration is obtained by accumulating the time length of each power peak time period.

[0026] The habit peak demand power is obtained by ratio calculation of the habit peak power consumption and the peak duration.

[0027] In a preferred embodiment of the present application, the specific way of calculating the energy storage demand is as follows: the demand power at the habit peak time is multiplied by the peak duration, and then divided 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 use files and equipment research data.

[0028] In a preferred embodiment, the formula for calculating the energy storage demand can be , wherein represents the energy storage demand, represents the demand power at the habit peak time, represents the peak duration, respectively represents the discharge efficiency and the battery discharge depth.

[0029] It needs to be further explained that the battery discharge efficiency refers to the ratio of the actual output power to the stored power during battery discharge, reflecting the energy loss in the discharge process; the battery discharge depth refers to the proportion of the battery discharge capacity to the rated capacity, which is usually determined by the battery type and the life requirement.

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

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

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

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

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

[0035] It needs to be further explained that the design idea of the above formula: the resistance of metal conductor changes with temperature, generally following an approximate linear relationship. When the temperature rises, the atomic thermal motion inside the conductor intensifies, and the resistance of the conductor increases. When the temperature decreases, the resistance decreases.

[0036] Further, in the above formula, is the resistance correction coefficient. When the maximum temperature of the transformer during the monitoring period is equal to the rated test temperature, i.e., the actual operating temperature is equal to the rated test temperature, the resistance correction coefficient is 1, the winding DC resistance under rated operating conditions is equal to the corrected winding DC resistance, and it is indicated that the resistance does not need to be corrected. When the maximum temperature of the transformer during the monitoring period is greater than the rated test temperature, the actual operating temperature is higher than the rated test temperature, the resistance correction coefficient is greater than 1, and the corrected resistance increases. When the maximum temperature of the transformer during the monitoring period is less than the rated test temperature, the actual operating temperature is lower than the rated test temperature, the resistance correction coefficient is less than 1, and the corrected resistance decreases. Through the resistance correction analysis formula, the resistance value under rated operating conditions can be reasonably corrected according to the actual operating temperature, and a more actual resistance value is provided for accurate calculation of transformer loss and other parameters.

[0037] The corrected winding DC resistance, the peak duration, and the square of the average monitored effective current in each power peak period obtained based on the historical power consumption record are multiplied to calculate the transformer loss correction amount.

[0038] It needs to be noted that the average monitored effective current refers to the average effective current calculated based on the monitoring and statistical analysis of the current in each power peak period based on the historical power consumption record.

[0039] It needs to be supplemented that the construction process of the transformer loss correction amount is obtained based on the analysis of Joule's law.

[0040] In a preferred embodiment of the present application, the energy storage unit stores the modified specific analysis process as follows: based on the discharge efficiency-temperature mapping relationship corresponding to the energy storage unit, the maximum temperature of the transformer in the monitoring period is matched to obtain the actual discharge efficiency of the energy storage unit, the relative deviation analysis of the actual discharge efficiency and the preset battery discharge efficiency is carried out to obtain the discharge efficiency correction degree, and then the discharge efficiency correction degree is multiplied by the energy storage demand to obtain the discharge efficiency correction amount.

[0041] It needs to be explained that the discharge efficiency-temperature mapping relationship reflects the law of the change of the discharge efficiency of the energy storage unit with temperature. It is fitted based on historical measured data, such as measuring the discharge efficiency of the energy storage unit at different temperature points multiple times, and then establishing a corresponding relationship model between temperature and discharge efficiency by mathematical method.

[0042] It needs to be explained that the discharge efficiency correction degree reflects the deviation of the actual discharge efficiency from the discharge efficiency under standard working conditions. In the energy storage system, temperature will significantly affect the discharge efficiency of the energy storage unit. Through the above calculation steps, the change of the discharge efficiency can be accurately evaluated according to the actual operating temperature, and the influence of the change on the energy storage demand can be further quantified. In this way, when configuring the energy storage device, the efficiency loss caused by temperature factor can be considered more accurately, and the unreasonable configuration of energy storage capacity caused by the change of discharge efficiency can be avoided, so that it can better meet the demand of power peak.

[0043] The rated cycle number and the theoretical cycle number threshold of the energy storage unit are obtained, and then the capacity attenuation coefficient is calculated by ratio calculation, the battery discharge depth and the capacity attenuation coefficient are multiplied to obtain the battery discharge depth attenuation amount, and then the battery discharge depth and the battery discharge depth attenuation amount are calculated by difference calculation, and the battery discharge depth attenuation coefficient is calculated by ratio calculation.

[0044] It needs to be explained that the rated cycle number refers to the number of complete charge and discharge cycles of the energy storage unit from full charge to discharge and then to full charge under normal use and specified conditions. It is an important indicator for measuring the service life of the battery, which is given by the battery manufacturer according to the product characteristics and test standards. The theoretical cycle number threshold is a reference cycle number value determined based on the design principle, material characteristics, etc. of the battery, which is used for comparative analysis of the actual cycle life of the battery. It can be an industry standard value, a theoretical calculation value, or an empirical value obtained by testing a large number of similar batteries.

[0045] It needs to be supplemented that the capacity attenuation coefficient reflects the relative degree of capacity attenuation of the battery within the specified cycle number. If the capacity attenuation coefficient is less than 1, it means that the battery capacity has attenuated within the specified cycle number; if it is equal to 1, it means that the battery capacity has not attenuated.

[0046] It should be noted that during the operation of the energy storage system, the battery will have a capacity attenuation phenomenon with the increase of the number of charge and discharge cycles, which will affect the discharge depth of the battery and the overall energy storage performance. By calculating these parameters, the actual discharge capacity change of the battery at different cycle stages can be accurately evaluated.

[0047] The discharge depth attenuation coefficient is multiplied by the energy storage demand to obtain the discharge depth influence correction amount.

[0048] In a preferred embodiment of the present application, the device loss correction coefficient set includes a device loss correction total amount, a transformer loss correction amount, and an energy storage unit storage correction amount, wherein the device loss correction total 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 influence correction amount and the discharge depth influence correction amount.

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

[0050] In a preferred embodiment of the present application, the specific analysis method of the power conversion loss is as follows: obtaining the type and corresponding number 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 conduction loss of each semiconductor device in the AC / DC conversion process of the energy storage transformer is calculated to obtain the average conduction loss.

[0052] The average conduction loss is multiplied by the energy storage demand to obtain the power conversion loss amount.

[0053] It should be noted that the conduction loss is an important component of energy loss in the AC / DC conversion process of the energy storage transformer. Accurate acquisition of the conduction loss helps to evaluate the efficiency of the entire energy storage transformer in the energy conversion process.

[0054] In a preferred embodiment of the present application, the specific analysis method of the line connection loss is as follows: obtaining the line length and habit peak demand power of each load unit corresponding to the power consumption unit, and obtaining the line cross-sectional area of each load unit.

[0055] The current calculation formula is The line current of each load unit is analyzed , wherein represents the habit peak demand power of each load unit, represents the transmission voltage, represents the number of load units, , represents the number of load units.

[0056] According to Ohm's law The total line resistance of each load unit is analyzed , wherein represents the resistivity of the wire material of each load unit, represents the line length of each load unit, represents the cross-sectional area of the line of each load unit.

[0057] Further, the line connection loss coefficient is analyzed by using the formula The line connection loss coefficient is calculated The line connection loss amount is calculated by multiplying the line connection loss coefficient and the energy storage demand amount.

[0058] In a preferred embodiment of the present application, the power transmission loss correction coefficient set includes a power transmission loss correction total amount, a power conversion loss amount, and a line connection loss amount, wherein the power transmission loss correction total 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 jointly calculate the corrected energy storage demand amount based on the energy storage demand amount, the equipment loss correction coefficient, and the power transmission loss correction coefficient.

[0060] In a preferred embodiment, the specific way of calculating the corrected energy storage demand amount is as follows: the corrected energy storage demand amount is obtained by summing the energy storage demand amount, the equipment loss correction total amount, and the power transmission loss correction total amount.

[0061] It should be noted that, by respectively analyzing the equipment loss and the power transmission loss, and then correcting the energy storage demand amount, the present application can accurately compensate for the energy loss in the whole process and avoid capacity configuration deviation. The energy storage demand is more suitable for actual operation scenarios, which improves the response capability of the system to peak load, optimizes equipment life management and power grid compatibility, and enhances the reliability and economy of the energy storage system.

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

[0063] In a preferred embodiment of the present application, the specific way of generating the charging power of the energy storage device is as follows: the required charging power is analyzed by using the formula , wherein represents the corrected energy storage demand amount, represents the charge-discharge ratio, represents the peak duration.

[0064] ​It needs to be explained that the charge-discharge rate is an important indicator to measure the speed of battery charging and discharging, and the larger the charge-discharge rate is, the faster the charging is; the charge-discharge rate is the ratio of the charging and discharging current to the rated capacity of the battery. For example, 1C charging means completing charging within 1 hour, and at this time the value of the charge-discharge rate is 1.

[0065] Please refer to Figure 2 The preset grid power limit threshold is compared with the demand charging power, if the demand charging power is greater than the grid power limit threshold, the grid power limit threshold is taken as the energy storage device charging power, if the demand charging power is less than or equal to the grid power limit threshold, the demand charging power is taken as the energy storage device charging power.

[0066] It needs to be explained that the setting of the grid power limit threshold mainly includes the safe bearing capacity of the grid infrastructure, such as the physical parameters of the grid transformer capacity, transmission line load flow, etc., which needs to ensure that the energy storage device charging power will not cause the grid overload trip or line damage. At the same time, the power quota in the user power agreement and the real-time load data of the grid dispatch are referred to, and the safe upper limit is dynamically or statically determined to ensure the stable operation of the grid and the normal power consumption of other users. The threshold needs to be determined comprehensively through grid survey and load calculation in the design stage of the energy storage system, to ensure the matching of the energy storage device charging demand and to achieve the balance between safety and efficiency.

[0067] It needs to be explained that the core logic of this step is to compare the demand charging power with the grid power limit threshold to ensure that the charging power of the energy storage device is within the controllable range of the grid safety. On the one hand, it avoids the charging power exceeding the upper limit of the grid load, preventing overload from causing trip, line damage or power supply stability decline. On the other hand, it ensures that the energy storage system matches the capacity of the grid, avoiding the situation that the equipment cannot work normally or is inefficient due to power mismatch.

[0068] It needs to be explained that the present application generates the energy storage device charging power based on the preset grid power limit threshold and the corrected energy storage demand, which can dynamically match the actual carrying capacity of the grid. It can not only avoid the safety risk caused by charging overload through threshold limitation, but also maximize the use of grid capacity within the allowed range to improve the charging efficiency. This way realizes the balance between grid safety and energy storage efficiency, optimizes the cooperative operation mechanism of the energy storage device and the grid, and enhances the reliability and economy of the system.

[0069] The above content is only an example and explanation of the concept of the present application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or use similar ways to replace them, as long as they do not deviate from the concept of the present application or exceed the scope defined by the present application, which shall belong to the protection scope of the present application.

Claims

1. An integrated energy storage transformer that meets peak power demand, characterized in that, include: The energy storage demand calculation module analyzes historical electricity consumption records to determine peak demand power and peak duration, 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 electricity consumption records and equipment usage records, and then constructs a set of equipment loss correction coefficients. The transmission loss correction module analyzes power conversion loss and line connection loss based on historical electricity 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 charging power of the energy storage device based on the preset grid power limit threshold and the corrected energy storage demand. The specific method for generating the charging power of the energy storage device is as follows: using the formula... Analysis yields the required charging power ,in This indicates a revised demand for energy storage. Indicates the charge / 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.

2. An integrated energy storage transformer for meeting peak power demand as described in claim 1, characterized in that: The specific method for analyzing 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 obtained by classifying them according to the same period. Obtain the total electricity consumption of each historical electricity consumption record for each time period, and then calculate the average to obtain the habitual total electricity consumption of each electricity consumption unit for each time period. The average electricity consumption is calculated by averaging the total habitual electricity consumption for each time period. Then, the total habitual electricity consumption for each time period is compared with the average electricity consumption. The time period when the total habitual electricity consumption is greater than or equal to the average electricity consumption is recorded as the peak electricity consumption period, and vice versa as the off-peak electricity consumption period. The habitual peak electricity consumption is obtained by summing up the habitual electricity consumption of each electricity consumption unit during each peak electricity consumption period, and the peak duration is obtained by summing up the duration of each peak electricity consumption period. The peak demand power is calculated by comparing the peak electricity consumption with the peak duration.

3. An integrated energy storage transformer for meeting peak power demand as described in claim 1, characterized in that: The specific method for calculating energy storage demand is as follows: The energy storage demand is generated by multiplying the power demand during peak hours by the duration of the peak, and then dividing by the product of battery discharge efficiency and battery depth of discharge.

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

5. An integrated energy storage transformer for meeting peak power demand as described in claim 4, characterized in that: The specific analysis process for the energy storage unit's storage correction is as follows: Based on the discharge efficiency-temperature mapping relationship of 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 analysis between the actual discharge efficiency and the preset battery discharge efficiency is performed to obtain the discharge efficiency correction degree. Then, the product with the energy storage demand is used to calculate the discharge efficiency impact correction amount. The rated cycle number and theoretical cycle number threshold of the energy storage unit are obtained, and then the ratio is calculated to obtain the capacity decay coefficient. The battery discharge depth is multiplied by the capacity decay coefficient to obtain the battery discharge depth decay amount. Then, the difference between the battery discharge depth and the battery discharge depth decay amount is calculated and then the ratio is calculated with the battery discharge depth to obtain the battery discharge depth decay coefficient. The depth of discharge decay coefficient is multiplied by the energy storage demand to obtain the correction amount for the impact of the depth of discharge.

6. An integrated energy storage transformer for meeting peak power demand as described in claim 5, characterized in that: The set of equipment loss correction coefficients includes the total equipment loss correction, the transformer loss correction, and the energy storage unit storage correction. The total equipment loss correction is obtained by summing the transformer loss correction and the energy storage unit storage correction. The energy storage unit storage correction is obtained by summing the discharge efficiency influence correction and the discharge depth influence correction.

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

8. An integrated energy storage transformer for meeting peak power demand as described in claim 7, characterized in that: The specific analysis method for the line connection loss is as follows: Obtain the line length and peak demand power of each load unit corresponding to the power consumption unit, and at the same time obtain the line cross-sectional area of ​​each load unit. Using the current calculation formula The line current of each load unit was obtained through analysis. ,in This indicates the typical 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 The total line resistance of each load unit was obtained through analysis. ,in This indicates the resistivity of the conductor material in each load unit. This indicates the line length of each load unit. This represents the cross-sectional area of ​​the line in each load unit; Then use the formula Analysis yields the line connection loss coefficient The line connection loss is calculated by multiplying the line connection loss coefficient with the energy storage demand.

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

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