Anti-countercurrent control method and system for energy storage transformer driven by bidirectional power regulation

Abstract

The invention discloses an anti-countercurrent control method and system for an energy storage transformer driven by bidirectional power regulation, and relates to the technical field of anti-countercurrent control of transformers, and the method comprises the steps: collecting the active power of a gateway ammeter, the active power of a load, the capacity of a transformer and a power factor of a power grid power supply grid-connected point in real time, and constructing a real-time operation data set; energy storage discharge countercurrent risk identification is carried out, segmented discharge is triggered to reduce protection, and segmented power adjustment is carried out in the discharge direction; according to the real-time operation data set, overload risk identification of the energy storage charging transformer is carried out, segmented charging demand reduction protection is triggered, and segmented power adjustment is executed in the charging direction. The technical problems that in the prior art, countercurrent is likely to happen during discharging of the energy storage transformer, overload is likely to happen during charging, and consequently equipment operation is not safe and a power grid is not stable are solved, and the technical effect that the operation safety of the energy storage transformer and the stability of the power grid are improved through the segmented power adjustment and power slow rising strategy is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer backflow prevention control, and in particular to a backflow prevention control method and system for an energy storage transformer driven by bidirectional power regulation. Background Art

[0002] In energy storage systems, the energy storage transformer, a key component connecting the power grid and energy storage equipment, is crucial for its safe and stable operation. In existing technologies, energy storage transformers are prone to reverse current during discharge, leading to grid voltage fluctuations, metering anomalies, and other issues. During charging, they also face the risk of transformer overload, which can cause equipment insulation aging, temperature rise, and even damage, seriously impacting the safety and stability of the power grid system. Furthermore, traditional power regulation methods are mostly extensive, lacking refined management of power variations, making it difficult to effectively prevent and control risks while also balancing the energy efficiency of the energy storage system.

[0003] The existing technology has technical problems that the energy storage transformer is prone to reverse current during discharge and overload during charging, resulting in unsafe equipment operation and unstable power grid. Summary of the Invention

[0004] The present application provides a method and system for controlling reverse current of an energy storage transformer driven by bidirectional power regulation, which is used to solve the technical problems in the prior art that energy storage transformers are prone to reverse current during discharge and overload during charging, resulting in unsafe equipment operation and unstable power grid.

[0005] In view of the above problems, the present application provides a method and system for preventing backflow of an energy storage transformer driven by bidirectional power regulation.

[0006] In a first aspect of the present application, a method for controlling reverse current of an energy storage transformer driven by bidirectional power regulation is provided, the method comprising:

[0007] The active power of the gateway meter, the active power of the load, the transformer capacity, and the power factor at the grid power supply connection point are collected in real time to construct a real-time operation data set. Based on the real-time operation data set, the risk of reverse current discharge of energy storage is identified, segmented discharge protection is triggered, segmented power adjustment is performed in the discharge direction, and combined with a power ramp-up strategy, the target power is restored within a set time interval. Based on the real-time operation data set, the risk of overload of the energy storage charging transformer is identified, segmented charging protection is triggered, segmented power adjustment is performed in the charging direction, and combined with a power ramp-up strategy, the target power is restored within a set time interval.

[0008] A second aspect of the present application provides a reverse flow prevention control system for an energy storage transformer driven by bidirectional power regulation, the system comprising:

[0009] A real-time operation data set construction module is used to collect the active power of the gateway meter, the active power of the load, the transformer capacity and the power factor of the grid power supply connection point in real time to construct a real-time operation data set; a segmented power regulation module is used to identify the risk of reverse current of energy storage discharge based on the real-time operation data set, trigger the segmented discharge protection, perform segmented power regulation in the discharge direction, and restore the target power within a set time interval in combination with the power ramp-up strategy; an overload risk identification module is used to identify the overload risk of the energy storage charging transformer based on the real-time operation data set, trigger the segmented charging protection, perform segmented power regulation in the charging direction, and restore the target power within a set time interval in combination with the power ramp-up strategy.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] The active power of the gateway meter at the grid power supply connection point, the active power of the load, the transformer capacity, and the power factor are collected in real time to construct a real-time operation data set. Based on the real-time operation data set, the risk of reverse current discharge of energy storage is identified, segmented discharge protection is triggered, segmented power regulation is performed in the discharge direction, and combined with the power ramp-up strategy, the target power is restored within a set time interval. Based on the real-time operation data set, the risk of overload of the energy storage charging transformer is identified, segmented charging protection is triggered, segmented power regulation is performed in the charging direction, and combined with the power ramp-up strategy, the target power is restored within a set time interval. The technical effect of improving the operational safety of the energy storage transformer and the stability of the power grid through segmented power regulation and power ramp-up strategy is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of 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.

[0013] Figure 1 A schematic flow chart of a method for controlling reverse current in a storage transformer with bidirectional power regulation drive provided in an embodiment of the present application;

[0014] Figure 2 Schematic diagram of the structure of the energy storage transformer anti-backflow control system with bidirectional power regulation drive provided in the embodiment of the present application.

[0015] Description of the accompanying drawings: real-time operation data set construction module 10, segmented power regulation module 20, overload risk identification module 30. DETAILED DESCRIPTION

[0016] This application provides a method and system for controlling reverse current of an energy storage transformer with bidirectional power regulation drive, aiming to solve the technical problems in the prior art that energy storage transformers are prone to reverse current during discharge and overload during charging, resulting in unsafe equipment operation and unstable power grid.

[0017] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative work are within the scope of protection of this application.

[0018] Example 1, as Figure 1 As shown, the present application provides a method for controlling reverse current of an energy storage transformer driven by bidirectional power regulation, the method comprising:

[0019] Step S100: collecting the active power of the gateway meter, the active power of the load, the transformer capacity and the power factor of the power grid connection point in real time to build a real-time operation data set.

[0020] Specifically, sensors and metering devices are used to collect operational parameters such as the active power of gateway meters at grid connection points, load active power, transformer capacity, and power factor in real time. After filtering, denoising, and standardization, a real-time operational data set is constructed in time series, including power flow, load status, equipment capacity, and energy efficiency indicators. This provides multi-dimensional data support for the subsequent identification of energy storage discharge reverse current risks and charging overload risks, ensuring that the implementation of segmented power regulation and power ramp-up strategies has an accurate data foundation.

[0021] Step S200: Based on the real-time operation data set, identify the risk of reverse current discharge of energy storage, trigger segmented discharge demand reduction protection, perform segmented power regulation in the discharge direction, and combine the power ramp-up strategy to restore the target power within a set time interval.

[0022] Specifically, first extract the gateway meter power of the grid connection point and the light-load power set on site from the real-time operation data set, and calculate the first current power coefficient (this coefficient is the ratio of the gateway meter power to the light-load power). Then, based on at least three discharge adjustment intervals where the first current power coefficient is located (different intervals correspond to different power adjustment ratios, the first deviation interval controls the power of the energy storage device to 0, the second deviation interval controls it to 80% of the current power, and the third deviation interval controls it to 90% of the current power), perform segmented power adjustment in the discharge direction, thereby triggering segmented discharge demand reduction protection and generating a discharge direction power adjustment target. Finally, combined with the power ramp-up strategy with a preset power increase slope, the power is restored to the target power within the set time interval, thereby completing the identification and response to the risk of reverse flow of energy storage discharge.

[0023] Step S300: Based on the real-time operation data set, identify the overload risk of the energy storage charging transformer, trigger the segmented charging demand reduction protection, perform segmented power adjustment in the charging direction, and combine the power ramp-up strategy to restore the target power within a set time interval.

[0024] Specifically, based on the real-time operation data set, the overload risk of the transformer during energy storage charging is identified. The active power of the transformer and the transformer capacity of the grid connection point are extracted from the data set, and the second current power coefficient (i.e., the ratio of the active power of the transformer to the transformer capacity) is calculated. According to the deviation interval of the coefficient, the segmented power adjustment in the charging direction is performed. The segmented adjustment includes at least three levels of charging adjustment intervals. For example, when the second current power coefficient is in the third deviation interval, the power of the energy storage device is controlled to 0, when it is in the fourth deviation interval, it is controlled to 90% of the current power, and when it is in the fifth deviation interval, it is controlled to 80% of the current power, thereby triggering the segmented charging demand reduction protection, generating the charging direction power adjustment target, and then combining the power slow rise strategy to restore the power to the target power within the set time interval.

[0025] In one possible implementation, step S200 further includes:

[0026] Step S210: extracting the gateway meter power of the grid connection point and the light load power set on site according to the real-time operation data set, and calculating a first current power coefficient, which is a ratio of the gateway meter power to the light load power.

[0027] Step S220: performing segmented power adjustment in the discharge direction based on the first current power coefficient to generate a power adjustment target in the discharge direction.

[0028] Step S230: Based on the discharge direction power regulation target, perform power ramp-up regulation according to the power ramp-up strategy.

[0029] Specifically, the gateway meter power at the grid connection point and the light-load power set on site according to actual operating needs are extracted from the real-time operation data set. The first current power coefficient is calculated by dividing the gateway meter power by the light-load power. This coefficient reflects the degree of deviation of the current grid connection point power relative to the light-load power, providing a key quantitative indicator for the subsequent segmented power adjustment in the discharge direction based on this coefficient, so as to accurately identify the reverse flow risk during the energy storage discharge process.

[0030] Segmented power regulation is implemented based on the three-level discharge regulation range within which the first current power coefficient falls. When the coefficient is in the first deviation range (indicating a high degree of deviation between the gateway meter power and the light-load power, and a significant risk of reverse flow during energy storage discharge), the energy storage device power is controlled to 0. If it is in the second deviation range (a moderate degree of deviation), the energy storage device power is adjusted to 80% of the current power. If it is in the third deviation range (a low degree of deviation), the energy storage device power is adjusted to 90% of the current power. This tiered regulation based on the degree of deviation generates a power regulation target for the discharge direction, achieving precise segmented control of the risk of reverse flow during energy storage discharge and avoiding over- or under-regulation of power.

[0031] Based on the generated discharge power regulation target, the energy storage device power is gradually increased over a set time interval according to a preset power ramp-up strategy (including a preset power ramp-up slope). This process controls the rate of power ramp-up to avoid sudden power changes that could impact the grid, ensuring a smooth transition of the energy storage system to the target power state in the discharge direction while continuously preventing reverse current risks, ensuring smooth power regulation and stable system operation.

[0032] In one possible implementation, step S220 further includes:

[0033] Step S221: The segmented power regulation in the discharge direction includes at least three discharge regulation intervals, and the power adjustment ratio of each regulation interval is set according to the degree of deviation between the gateway meter power and the light-load power.

[0034] Specifically, the segmented power regulation in the discharge direction is set with at least three discharge regulation intervals. The power adjustment ratio of each regulation interval is set according to the degree of deviation between the gateway meter power and the light load power (i.e., the first power coefficient): when the first power coefficient is in the first deviation interval, it indicates that the backflow risk is high, and the power of the energy storage device is controlled to 0; when it is in the second deviation interval, the backflow risk is medium, and the power of the energy storage device is adjusted to 80% of the current power; when it is in the third deviation interval, the backflow risk is low, and it is adjusted to 90% of the current power. Through graded regulation, accurate response to different degrees of backflow risks can be achieved.

[0035] In one possible implementation, step S221 further includes:

[0036] Step S2211: When the first current power coefficient is in a first deviation interval, the power of the energy storage device is controlled to be 0.

[0037] Step S2212: When the first current power coefficient is in a second deviation interval, the power of the energy storage device is controlled to be 80% of the current power.

[0038] Step S2213: When the first current power coefficient is in a third deviation interval, controlling the power of the energy storage device to be 90% of the current power.

[0039] Specifically, when the first current power coefficient is in the first deviation range (i.e., the ratio of the gateway meter power to the light-load power set on site is ≥100%), it indicates that the energy storage discharge power has exceeded the load demand and there is an obvious backflow risk. At this time, the EMS energy management system controls the energy storage device power to immediately drop to 0, cutting off the backflow path and preventing excess electric energy from flowing back to the grid.

[0040] When the first current power coefficient falls within the second deviation range (i.e., the ratio of the gateway meter power to the light-load power is between 100% and 110%), the energy storage discharge power is approaching the reverse current threshold, posing a potential reverse current risk. At this point, the EMS adjusts the energy storage device power to 80% of the current power. While ensuring load power demand, it gradually reduces the energy storage discharge power, mitigates the reverse current trend, and avoids impacts on the load caused by sudden power drops.

[0041] When the first current power coefficient is in the third deviation range (i.e., the ratio of the gateway meter power to the light-load power is between 110% and 120%), it indicates that there is a slight risk of reverse flow in the energy storage discharge power, but it has not yet reached the emergency threshold. At this time, the EMS adjusts the energy storage device power to 90% of the current power. While ensuring the basic power demand of the load, the energy storage discharge power is fine-tuned to reduce the risk of reverse flow and avoid excessive adjustment that may cause frequent starting and stopping of the energy storage device, thereby improving system operational stability.

[0042] In one possible implementation, step S300 further includes:

[0043] Step S310: extracting the transformer active power and transformer capacity of the grid connection point according to the real-time operation data set, and calculating a second current power coefficient, which is a ratio of the transformer active power to the transformer capacity.

[0044] Step S320: performing segmented power adjustment in the charging direction based on the second current power coefficient to generate a power adjustment target in the charging direction.

[0045] Step S330: Based on the charging direction power regulation target, perform power ramp-up regulation according to the power ramp-up strategy.

[0046] Specifically, the transformer active power and capacity at the grid connection point are extracted from the real-time operational data set. The transformer active power is then divided by the capacity to calculate the second current power factor. This factor quantitatively reflects the degree of deviation between the transformer's actual active power and its rated capacity. This factor provides a key quantitative indicator for subsequent charging-direction segmented power regulation and transformer overload risk identification, enabling accurate assessment of the transformer's operating status during energy storage charging.

[0047] Segmented power regulation is implemented based on the three-level charging regulation range within which the second current power coefficient (the ratio of the transformer's active power to capacity) lies. When the coefficient is in the third deviation range (indicating that the transformer's active power is approaching or exceeding the rated capacity, posing a serious overload risk), the energy storage device power is controlled to 0. If it is in the fourth deviation range (moderate overload risk), the energy storage device power is adjusted to 90% of the current power. If it is in the fifth deviation range (low overload risk), the energy storage device power is adjusted to 80% of the current power. By adjusting the power in a graded manner based on the degree of deviation, a charging direction power regulation target is generated, achieving precise segmented control of the transformer overload risk during the energy storage charging process, avoiding transformer overload caused by excessive charging power and ensuring safe equipment operation.

[0048] Based on the generated charging power regulation target, the system gradually increases the energy storage device power over a set time interval according to a preset power ramp-up strategy (including a preset power ramp-up slope). This regulation process controls the power ramp-up rate to avoid sudden surges in charging power that could overload the transformer, ensuring a smooth transition of the energy storage system to the target power state in the charging direction while continuously preventing the risk of transformer overload, thereby achieving smooth power regulation and stable grid equipment operation.

[0049] In one possible implementation, step S320 further includes:

[0050] Step S321: When the second current power coefficient is in a third deviation interval, the power of the energy storage device is controlled to be 0.

[0051] Step S322: When the second current power coefficient is in a fourth deviation interval, the power of the energy storage device is controlled to be 90% of the current power.

[0052] Step S323: When the second current power coefficient is in the fifth deviation interval, the power of the energy storage device is controlled to be 80% of the current power.

[0053] Specifically, when the second current power coefficient (i.e., the ratio of the transformer's active power to its capacity) is in the third deviation interval, it indicates that the transformer's actual active power has reached or exceeded its rated capacity. The transformer is now severely overloaded, with risks of insulation aging, a sharp rise in temperature, and even damage. To prevent the transformer overload from worsening due to continued charging of the energy storage device, the energy storage device's power output must be immediately controlled to zero. By disconnecting the charging circuit, the transformer's overload risk is quickly eliminated, ensuring the safe and stable operation of the transformer and the entire power grid system.

[0054] When the second current power coefficient (the ratio of the transformer's active power to capacity) is in the fourth deviation range, the transformer's actual active power is close to its rated capacity, posing a moderate overload risk. At this point, controlling the energy storage device's power to 90% of the current power can both reduce the transformer's load by reducing charging power by 10%, preventing overload caused by continued power increases, and retain some charging capacity. This balances the energy storage system's charging efficiency requirements while ensuring safe transformer operation, achieving coordinated control of risk prevention and control with energy storage.

[0055] When the second current power factor (the ratio of the transformer's active power to capacity) is in the fifth deviation interval, it indicates that the transformer's actual active power deviates somewhat from its rated capacity, but the risk of overload is low. At this point, the energy storage device's power is controlled to 80% of its current power, reducing the charging power by 20% to prevent transformer overload. This maximizes the energy storage system's charging capacity while ensuring the safe operation of grid equipment, achieving a balance between risk prevention and control and energy storage efficiency, and preventing excessive power regulation from impacting the energy storage system's normal charging needs.

[0056] In one possible implementation, step S300 further includes:

[0057] Step S340: The power ramp-up strategy includes presetting a power ramp-up slope.

[0058] Specifically, the slope parameter (such as kW / min) of the power change over time is pre-set in the system control program. When the segmented power adjustment in the charging direction is triggered, the control system calculates the required adjustment time based on the difference between the current actual power and the target power, combined with the preset slope, so that the power of the energy storage device is gradually increased according to the set slope in a linear or smooth curve manner. For example, if the target power needs to be increased by 100kW and the preset slope is 20kW / min, the system controls the power to rise evenly to the target value within 5 minutes. By accurately setting the slope parameter, the impact of sudden power changes on the transformer is avoided, ensuring a smooth transition of the charging process.

[0059] Embodiment 2 is based on the same inventive concept as the method for preventing reverse current of energy storage transformer driven by power bidirectional regulation in the above embodiment. Figure 2 As shown, the present application provides a power bidirectional regulation driven energy storage transformer backflow prevention control system. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0060] The real-time operation data set construction module 10 is used to collect the active power of the gateway meter, the active power of the load, the transformer capacity and the power factor of the power supply connection point in real time to construct the real-time operation data set.

[0061] The segmented power regulation module 20 is used to identify the risk of reverse current discharge of energy storage according to the real-time operation data set, trigger the segmented discharge demand reduction protection, perform segmented power regulation in the discharge direction, and restore to the target power within a set time interval in combination with the power ramp-up strategy.

[0062] The overload risk identification module 30 is used to identify the overload risk of the energy storage charging transformer based on the real-time operation data set, trigger the segmented charging demand reduction protection, perform segmented power regulation in the charging direction, and combine the power ramp-up strategy to restore the target power within a set time interval.

[0063] Furthermore, the system is also used to implement the following functions:

[0064] The gateway meter power of the grid connection point and the light-load power set on site are extracted according to the real-time operation data set, and a first current power coefficient is calculated, where the first current power coefficient is the ratio of the gateway meter power to the light-load power; segmented power adjustment in the discharge direction is performed based on the first current power coefficient to generate a power adjustment target in the discharge direction; based on the power adjustment target in the discharge direction, power ramp-up adjustment is performed according to the power ramp-up strategy.

[0065] Furthermore, the system is also used to implement the following functions:

[0066] The segmented power regulation in the discharge direction includes at least three discharge regulation intervals, and the power adjustment ratio of each regulation interval is set according to the degree of deviation between the gateway meter power and the light load power.

[0067] Furthermore, the system is also used to implement the following functions:

[0068] When the first current power coefficient is in the first deviation interval, the power of the energy storage device is controlled to be 0; when the first current power coefficient is in the second deviation interval, the power of the energy storage device is controlled to be 80% of the current power; when the first current power coefficient is in the third deviation interval, the power of the energy storage device is controlled to be 90% of the current power.

[0069] Furthermore, the system is also used to implement the following functions:

[0070] The active power of the transformer and the transformer capacity of the grid connection point are extracted according to the real-time operation data set, and a second current power coefficient is calculated, where the second current power coefficient is the ratio of the active power of the transformer to the transformer capacity; segmented power adjustment in the charging direction is performed based on the second current power coefficient, and a power adjustment target in the charging direction is generated; based on the power adjustment target in the charging direction, power ramp-up adjustment is performed according to the power ramp-up strategy.

[0071] Furthermore, the system is also used to implement the following functions:

[0072] When the second current power coefficient is in the third deviation interval, the power of the energy storage device is controlled to be 0; when the second current power coefficient is in the fourth deviation interval, the power of the energy storage device is controlled to be 90% of the current power; when the second current power coefficient is in the fifth deviation interval, the power of the energy storage device is controlled to be 80% of the current power.

[0073] Furthermore, the system is also used to implement the following functions:

[0074] The power ramp-up strategy includes a preset power ramp-up slope.

[0075] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0076] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

[0077] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A method for controlling reverse current of an energy storage transformer driven by bidirectional power regulation, characterized in that: include: Real-time data collection of active power, load active power, transformer capacity, and power factor from gateway meters at power supply connection points to build a real-time operational data set. Based on the real-time operation data set, the risk of reverse discharge of energy storage is identified, segmented discharge demand reduction protection is triggered, segmented power regulation is performed in the discharge direction, and combined with the power ramp-up strategy, the target power is restored within a set time interval; Based on the real-time operation data set, the overload risk of the energy storage charging transformer is identified, segmented charging demand reduction protection is triggered, segmented power adjustment is performed in the charging direction, and combined with the power ramp-up strategy, the target power is restored within a set time interval.

2. The method for preventing reverse current of a storage transformer driven by bidirectional power regulation according to claim 1, characterized in that: Based on the real-time operation data set, the risk of reverse discharge of energy storage is identified, segmented discharge demand reduction protection is triggered, segmented power regulation is performed in the discharge direction, and combined with the power ramp-up strategy, the target power is restored within the set time interval, including: Extracting the gateway meter power of the grid connection point and the light load power set on site according to the real-time operation data set, and calculating a first current power coefficient, where the first current power coefficient is a ratio of the gateway meter power to the light load power; performing segmented power regulation in a discharge direction based on the first current power coefficient to generate a power regulation target in the discharge direction; Based on the power regulation target in the discharge direction, power ramp-up regulation is performed according to the power ramp-up strategy.

3. The method for controlling reverse current of a storage transformer driven by bidirectional power regulation according to claim 2, wherein: The segmented power regulation in the discharge direction includes at least three discharge regulation intervals, and the power adjustment ratio of each regulation interval is set according to the degree of deviation between the gateway meter power and the light load power.

4. The method for preventing reverse current of a storage transformer driven by bidirectional power regulation according to claim 3, characterized in that: The three-level discharge adjustment range includes: When the first current power coefficient is in a first deviation interval, controlling the power of the energy storage device to be 0; When the first current power coefficient is in a second deviation interval, controlling the power of the energy storage device to be 80% of the current power; When the first current power coefficient is in the third deviation interval, the power of the energy storage device is controlled to be 90% of the current power.

5. The method for controlling reverse current of an energy storage transformer driven by bidirectional power regulation according to claim 1, wherein: Based on the real-time operation data set, the overload risk of the energy storage charging transformer is identified, segmented charging demand reduction protection is triggered, segmented power adjustment is performed in the charging direction, and combined with the power ramp-up strategy, the target power is restored within the set time interval, including: Extracting the transformer active power and transformer capacity of the grid connection point according to the real-time operation data set, and calculating a second current power coefficient, where the second current power coefficient is a ratio of the transformer active power to the transformer capacity; performing segmented power adjustment in the charging direction based on the second current power coefficient to generate a power adjustment target in the charging direction; Based on the charging direction power regulation target, power ramp-up regulation is performed according to the power ramp-up strategy.

6. The method for controlling reverse current of a storage transformer driven by bidirectional power regulation according to claim 5, characterized in that: The segmented power regulation in the charging direction includes at least three charging regulation intervals. The power adjustment ratio of each regulation interval is set according to the deviation between the transformer active power and the transformer capacity. The three-level charging regulation intervals specifically include: When the second current power coefficient is in a third deviation interval, controlling the power of the energy storage device to be 0; When the second current power coefficient is in a fourth deviation interval, controlling the power of the energy storage device to be 90% of the current power; When the second current power coefficient is in the fifth deviation interval, the power of the energy storage device is controlled to be 80% of the current power.

7. The method for preventing reverse current of a storage transformer driven by bidirectional power regulation according to claim 1, characterized in that: The power ramp-up strategy includes a preset power ramp-up slope.

8. The energy storage transformer anti-backflow control system driven by power bidirectional regulation is characterized by: The system is used to implement the anti-backflow control method for the energy storage transformer driven by power bidirectional regulation according to any one of claims 1 to 7, and the system includes: A real-time operation data set construction module is used to collect the active power of the gateway meter, the active power of the load, the transformer capacity and the power factor at the power supply connection point in real time to construct a real-time operation data set; A segmented power regulation module is used to identify the risk of reverse flow of energy storage discharge based on the real-time operation data set, trigger segmented discharge demand reduction protection, perform segmented power regulation in the discharge direction, and restore the target power within a set time interval in combination with a power ramp-up strategy; An overload risk identification module is used to identify the overload risk of the energy storage charging transformer based on the real-time operation data set, trigger segmented charging demand reduction protection, perform segmented power regulation in the charging direction, and combine the power ramp-up strategy to restore the target power within a set time interval.

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