Energy storage system scheduling and operation optimization method under virtual power plant platform

Abstract

The invention discloses an energy storage system scheduling and operation optimization method under a virtual power plant platform, relates to the technical field of energy storage systems, and solves the problems that a real-time response and multi-center cooperation mechanism for abnormal discharge is lacked and a targeted optimization strategy for dynamic interference between energy storage centers is lacked. According to the method, the schedulable characteristics are calculated based on the discharge variable values in the traceability period, the associated energy storage centers are linked to carry out dynamic energy complementation scheduling, and through closed-loop logic of abnormal center calibration-associated center potential evaluation-cooperative power distribution, it is ensured that power complementation of the multiple energy storage centers is achieved when the power consumption demand is sharply increased, and the power complementation performance of the multiple energy storage centers is improved. The continuous power supply of the key load is ensured, the discharge pressure of each energy storage center is balanced, and the reliability of the overall discharge process of the virtual power plant is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage systems, and specifically to a method for scheduling and operating optimization of energy storage systems under a virtual power plant platform. Background Art

[0002] Driven by the global energy transition and the "dual carbon" goals, virtual power plants (VPPs), as core platforms for aggregating distributed energy and optimizing energy resource allocation, have become a key support for building new power systems. Among them, energy storage systems, as the core resource for VPPs to achieve flexible regulation, undertake multiple functions such as smoothing fluctuations in wind and solar power output, participating in grid peak and frequency regulation, and ensuring reliable power supply to users. Their scheduling efficiency and operational stability directly determine the overall benefits of VPPs.

[0003] However, with the increasing number of energy storage centers in VPPs and the diversification of their types (such as lithium batteries, flow batteries, and flywheel storage), as well as the dynamic changes in user-side electricity demand, energy storage system operations face two core challenges: On the one hand, a single energy storage center is prone to over-discharge risks during discharge due to sudden surges in local power demand exceeding its own output threshold. Without timely coordinated scheduling, this could cause equipment failure or power outages, impacting the VPP's power supply reliability. On the other hand, when multiple energy storage centers operate in parallel, they are prone to mutual interference due to differences in current fluctuation characteristics or overlapping conduction times, resulting in superposition of current fluctuations, decreased energy conversion efficiency, and even accelerated battery aging, increasing operation and maintenance costs.

[0004] Traditional energy storage scheduling methods rely heavily on static threshold management, lacking real-time response to abnormal discharges and multi-center coordination mechanisms. Furthermore, they lack targeted optimization strategies for dynamic interference between storage centers, making them difficult to adapt to the highly dynamic and highly coupled operating scenarios of VPPs. Therefore, accurately identifying abnormal discharge states in energy storage centers and enabling cross-center coordinated scheduling while effectively suppressing current interference between multiple centers has become a key technical requirement for improving the operating efficiency and safety of VPP energy storage systems, and forms the core research and development background for this application's technical solution. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a method for scheduling and optimizing the operation of an energy storage system under a virtual power plant platform, which solves the problems of lack of real-time response to abnormal discharge and multi-center coordination mechanism, and lack of targeted optimization strategies for dynamic interference between energy storage centers.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for scheduling an energy storage system under a virtual power plant platform, comprising the following steps: Step 1: Monitor the discharge process of different energy storage centers, confirm the discharge characteristics based on the numerical monitoring process, and perform feature verification on the discharge characteristics to calibrate abnormal energy storage centers: Monitor the discharge process of different energy storage centers in real time, and generate discharge data change curves corresponding to the discharge process based on the different discharge data monitored at different times; Confirm the different discharge thresholds associated with different energy storage centers. The discharge thresholds are all preset values. Based on the confirmed discharge thresholds, the standard line associated with the discharge threshold is confirmed in the discharge data change curve. If there is discharge data exceeding the standard line in the discharge data change curve, an abnormal discharge signal is recorded. Then, the duration associated with the abnormal discharge signal is recorded. If the recorded duration exceeds 1 minute, the corresponding energy storage center is recorded as an abnormal energy storage center. Otherwise, no calibration is performed. Step 2: The other energy storage centers that the abnormal energy storage center communicates with are recorded as associated centers. Based on the changing characteristics of the abnormal energy storage center and the associated centers, the dispatchability characteristics of the associated centers are confirmed. Based on the confirmation process, the abnormal energy storage center is dispatched in real time: Using the current moment as the reference moment, trace back to confirm a set of traceability cycles, where the traceability cycle is a preset cycle. Confirm the discharge data associated with the abnormal energy storage center within the traceability cycle, and based on the discharge data associated with adjacent moments, confirm the discharge variation value, where the discharge variation value = the discharge data at the next moment - the discharge data at the previous moment. Select the maximum value from the confirmed sets of discharge variation values ​​and use it as the change feature of the abnormal energy storage center. Based on the discharge data Fd associated with the current moment, use the following formula: (Fd + change feature) - discharge threshold = dispatchable feature, where the discharge threshold is a preset value. Identify whether the associated center is in an abnormal discharge state at the current moment. The abnormal discharge state means that the discharge data of the corresponding associated center exceeds the associated discharge threshold. If so, no calibration is performed. If not, the associated center is recorded as the center to be adjusted. The discharge data associated with the center to be adjusted during the traceability period is confirmed, and the change characteristics associated with different centers to be adjusted are confirmed. The discharge data F associated with the center to be adjusted at the current moment is confirmed. k , where k represents different centers to be adjusted, using: (F k + change characteristics) = calibration characteristics, confirm the calibration characteristics of the corresponding center to be adjusted, and compare the calibration characteristics with the discharge threshold associated with the corresponding center to be adjusted: If the calibration feature is less than the discharge threshold, the following formula is used: (discharge threshold - calibration feature) = scheduling value to confirm the scheduling value associated with the corresponding center to be scheduled at the next moment; If the calibration feature is greater than or equal to the discharge threshold, the scheduling value associated with the corresponding center to be adjusted at the next moment is directly calibrated to 0; Sum the dispatch values ​​associated with several groups of centers to be dispatched, determine the total dispatch value, and compare the determined total dispatch value with the dispatchable characteristics: If the total dispatch value is less than or equal to the dispatchable characteristic, the energy storage center is directly dispatched to the abnormal energy storage center based on the dispatch values ​​associated with the different centers to be dispatched. The maximum discharge value of the abnormal energy storage center at the next moment is simultaneously limited. The maximum discharge value = total dispatch value + discharge threshold. If the total dispatch value is greater than the dispatchable characteristic, power dispatch will be carried out on the abnormal energy storage center according to the dispatch values ​​associated with different centers to be dispatched, and the process will stop when the dispatchable characteristic associated with the abnormal energy storage center is met.

[0007] The operation optimization method of the energy storage system under the virtual power plant platform includes the following steps: Step 1: Evaluate the current fluctuation status of different energy storage centers under working conditions. From the evaluation process, identify the energy storage centers with current interference and record them as interference centers. The specific method is as follows: The current values ​​of different energy storage centers in working state are monitored in real time. From the monitoring process, the change value associated with the current value in a unit time period is confirmed. The current value at the previous moment is proposed to be DL1, and the current value at the next moment is proposed to be DL2. The change value is = DL2-DL1. The change value associated with adjacent moments is confirmed by interference: the change value confirmed in the previous time period is recorded as BH1, and the change value confirmed in the next time period is recorded as BH2. The evaluation value confirmed by the corresponding energy storage center in the adjacent time period is confirmed using: |BH2-BH1|=PD. If PD>Y1, the current energy storage center is recorded as the center to be optimized, and the corresponding adjacent time period is simultaneously recorded as the interference period. Y1 is the preset value. If PD≤Y1, continuous monitoring is performed. Combine different centers to be optimized in pairs, confirm the center combination column, confirm the interference period associated with the center combination column, and identify whether there is an overlapping period between different interference periods. If so, record the specific proportion of the overlapping period in the interference period. If the specific proportion exceeds 40%, the corresponding center combination column is recorded as the interference center column. Otherwise, no calibration is performed; Step 2: For the identified interference center column, the energy storage characteristics of different energy storage centers within it are verified and adjusted to effectively stagger the conduction times associated with the corresponding energy storage centers, completing the operation optimization process of different energy storage centers: Based on the confirmed interference center column, the two groups of energy storage centers associated with it are identified. The original duty cycle and current variation period associated with the energy storage center are then confirmed to determine the conduction duration associated with the corresponding energy storage center. The conduction duration is then adjusted forward or backward in the current variation period. During the adjustment process, it is determined whether the conduction durations associated with the two groups of energy storage centers can be completely staggered. If so, the position of the conduction time of the corresponding energy storage center is recorded and executed. If not, the subsequent analysis process is executed. The original duty cycles associated with the two energy storage centers are synchronously controlled and adjusted downward. Several downward adjustment processes are executed, each process reducing the duty cycle by 0.05 units. The on-time is adjusted forward and backward in each downward adjustment process to determine whether the on-times associated with the two energy storage centers can be completely staggered. If so, the downward adjustment process is completed, and the original duty cycles associated with the corresponding energy storage centers are recorded and executed. The on-time of the designated energy storage center is simultaneously restricted based on the location of the energy storage center with the on-time. If not, the confirmation is continued until the on-times associated with the two energy storage centers can be completely staggered.

[0008] The present invention provides a method for scheduling and optimizing the operation of an energy storage system under a virtual power plant platform. Compared with the existing technology, it has the following advantages: This method calculates dispatchable characteristics based on discharge variation within a traceability cycle and dynamically dispatches energy from associated energy storage centers. Through the closed-loop logic of "abnormal center calibration - associated center potential assessment - coordinated power allocation," it ensures that multiple energy storage centers can achieve power complementarity when electricity demand surges. This not only ensures continuous power supply to critical loads, but also balances the discharge pressure of each energy storage center, significantly improving the reliability of the overall discharge process of the virtual power plant. The on-time staggering and duty cycle dynamic adjustment strategy for the interference center column effectively isolates the current interference period between energy storage centers by moving the on-time forward and backward, lowering the duty cycle, and matching the input current compensation. This optimization not only reduces the impact of current fluctuations on battery charging and discharging efficiency, but also reduces the energy loss caused by interference, thereby improving the energy conversion efficiency and equipment service life of the energy storage system in coordinated operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 This is a schematic diagram of the power dispatching process of the present invention; Figure 2 Schematic diagram of the energy storage system operation optimization process of the present invention. DETAILED DESCRIPTION

[0010] 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.

[0011] First embodiment

[0012] See also Figure 1 , this application provides a method for scheduling an energy storage system under a virtual power plant platform, comprising the following steps: Step 1: Monitor the discharge process of different energy storage centers, confirm the discharge characteristics based on the numerical monitoring process, and perform feature verification on the discharge characteristics to calibrate abnormal energy storage centers. Specifically, an abnormal energy storage center is one whose corresponding power demand exceeds the output characteristics of the energy storage center during the discharge process, so the energy storage center will be calibrated as abnormal; Among them, the specific method of calibrating the abnormal energy storage center is: Monitor the discharge process of different energy storage centers in real time, and generate discharge data change curves corresponding to the discharge process based on the different discharge data monitored at different times; Confirm the different discharge thresholds associated with different energy storage centers. These discharge thresholds are preset values, set by operators based on experience. Based on the confirmed discharge thresholds, the calibration line associated with the discharge thresholds is determined within the discharge data change curve. If discharge data in the discharge data change curve exceeds the calibration line, an abnormal discharge signal is recorded. The duration associated with the abnormal discharge signal is then recorded. If the recorded duration exceeds 1 minute, the corresponding energy storage center is marked as an abnormal energy storage center. Otherwise, no calibration is performed. Specifically, when the discharge characteristics associated with a specific energy storage center far exceed the corresponding parameter limits, in order to prevent the corresponding energy storage center from over-discharging, coordinated scheduling of the energy storage centers is required to ensure that multiple energy storage centers can achieve an effective discharge process. Step 2: The other energy storage centers that the abnormal energy storage center communicates with are recorded as associated centers. Based on the changing characteristics of the abnormal energy storage center and the associated centers, the dispatchability characteristics of the associated centers are confirmed. Based on the confirmation process, the abnormal energy storage center is dispatched in real time: Using the current moment as the reference moment, trace back to confirm a set of traceability cycles. The traceability cycle is a preset cycle, whose specific value is determined by the operator based on experience. The traceability cycle is generally set to 10 seconds. The discharge data associated with the abnormal energy storage center within the traceability cycle is confirmed, and based on the discharge data associated with adjacent moments, the discharge variation is confirmed. The discharge variation = the discharge data at the next moment - the discharge data at the previous moment. The maximum value is selected from the confirmed sets of discharge variation values ​​and used as the change feature of the abnormal energy storage center. Based on the discharge data Fd associated with the current moment, the following is used: (Fd + change feature) - discharge threshold = dispatchable feature. The discharge threshold is a preset value determined by the operator based on experience. Identify whether the associated center is in an abnormal discharge state at the current moment. The abnormal discharge state means that the discharge data of the corresponding associated center exceeds the associated discharge threshold. If so, no calibration is performed. If not, the associated center is recorded as the center to be adjusted. The discharge data associated with the center to be adjusted during the traceability period is confirmed, and the change characteristics associated with different centers to be adjusted are confirmed. The discharge data F associated with the center to be adjusted at the current moment is confirmed. k , where k represents different centers to be adjusted, using: (F k + change characteristics) = calibration characteristics, confirm the calibration characteristics of the corresponding center to be adjusted, and compare the calibration characteristics with the discharge threshold associated with the corresponding center to be adjusted: If the calibration feature is less than the discharge threshold, the following formula is used: (discharge threshold - calibration feature) = scheduling value to confirm the scheduling value associated with the corresponding center to be scheduled at the next moment; If the calibration feature is greater than or equal to the discharge threshold, the scheduling value associated with the corresponding center to be adjusted at the next moment is directly calibrated to 0; Sum the dispatch values ​​associated with several groups of centers to be dispatched, determine the total dispatch value, and compare the determined total dispatch value with the dispatchable characteristics: If the total dispatch value is less than or equal to the dispatchable characteristic, the energy storage center is directly dispatched to the abnormal energy storage center based on the dispatch values ​​associated with the different centers to be dispatched. The maximum discharge value of the abnormal energy storage center at the next moment is simultaneously limited. The maximum discharge value = total dispatch value + discharge threshold. If the total dispatch value exceeds the dispatchable characteristic, power dispatch is performed on the abnormal energy storage center based on the dispatch values ​​associated with the different centers to be dispatched, stopping when the dispatchable characteristic associated with the abnormal energy storage center is satisfied. Specifically, each center to be dispatched has an upper limit on the dispatch value during the dispatch process. During the dispatch process, the dispatched power data must not exceed the originally confirmed dispatch value to ensure the comprehensive dispatch effect associated with the corresponding abnormal energy storage center. During the dispatching process, the power required by the abnormal energy storage center is coordinated by the associated specific centers. Based on the specific coordinated processing process, the discharge status of the abnormal energy storage center is comprehensively regulated, which not only ensures the discharge effect, but also simultaneously ensures the normal discharge process of the corresponding abnormal energy storage center.

[0013] Second embodiment

[0014] In the specific implementation process, compared with the above embodiment, this embodiment mainly focuses on the power interference process between different energy storage centers and optimizes the operation of the power interference process; Combine Figure 2 The operation optimization method of the energy storage system under the virtual power plant platform includes the following steps: Step 1: Evaluate the current fluctuation status of different energy storage centers under working conditions. From the evaluation process, identify the energy storage centers with current interference and record them as interference center columns. The specific method for identifying the interference center column is: The current values ​​of different energy storage centers in working state are monitored in real time. From the monitoring process, the change value associated with the current value in a unit time period is confirmed. The current value at the previous moment is proposed as DL1, and the current value at the next moment is proposed as DL2. The change value = DL2-DL1. The change value associated with adjacent moments is confirmed by interference: the change value confirmed in the previous time period is recorded as BH1, and the change value confirmed in the next time period is recorded as BH2. The evaluation value confirmed by the corresponding energy storage center in the adjacent time period is confirmed using: |BH2-BH1|=PD. If PD>Y1, the current energy storage center is recorded as the center to be optimized, and the corresponding adjacent time period is simultaneously recorded as the interference period. Y1 is the preset value, and its specific value is determined by the operator based on experience. If PD≤Y1, continuous monitoring is performed. Combine different centers to be optimized in pairs, confirm the center combination column, confirm the interference period associated with the center combination column, and identify whether there is an overlapping period between different interference periods. If so, record the specific proportion of the overlapping period in the interference period. If the specific proportion exceeds 40%, the corresponding center combination column is recorded as the interference center column. Otherwise, no calibration is performed; Step 2: For the identified interference center column, the energy storage characteristics of different energy storage centers within it are verified and adjusted to effectively stagger the conduction times associated with the corresponding energy storage centers, completing the operation optimization process of different energy storage centers. The specific operation steps are as follows: Based on the confirmed interference center column, the two associated energy storage centers are identified. The original duty cycle and current variation period associated with the energy storage center are then confirmed to determine the on-time associated with the corresponding energy storage center. The on-time position within the current variation period is then adjusted forward or backward. During the adjustment process, it is determined whether the on-times associated with the two energy storage centers can be completely staggered (that is, there is no time overlap). If so, the on-time position of the corresponding energy storage center is recorded and executed. If not, the subsequent analysis process is executed, using the formula: current variation period × original duty cycle = on-time. Synchronously regulate the original duty cycles associated with the two energy storage centers to reduce the processing, execute several reduction processes, each process reduces the duty cycle by 0.05 units, and perform forward and backward adjustment processing on the conduction time in each reduction process to identify whether the conduction durations associated with the two energy storage centers can be completely staggered. If so, complete the reduction process, record the original duty cycles associated with the corresponding energy storage centers, and execute it. Synchronously limit the conduction time of the designated energy storage center based on the location of the conduction duration at the energy storage center. If not, then Continue confirming until the conduction durations associated with the two energy storage centers are completely staggered. Specifically, after the duty cycle of the corresponding energy storage center is reduced, the original associated input current needs to be increased to ensure that the current value input to the energy storage center does not change. For example, if the energy storage current associated with the original energy storage center is 50A and its associated duty cycle is 0.5, then the original associated input current must be 100A. When the corresponding duty cycle is reduced to 0.4, the corresponding associated input current needs to be adjusted to 125A. Specifically, in order to address the interference between different energy storage centers, it is necessary to adjust them one by one, effectively stagger the input currents associated with different energy storage centers, and stagger the conduction times corresponding to different energy storage centers. This can effectively ensure the mutual interference between currents, thereby ensuring the comprehensive energy storage effect of different energy storage centers and fully reducing the interference during their energy storage.

[0015] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0016] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The energy storage system scheduling method under the virtual power plant platform is characterized by: The following steps are involved: Step 1: Monitor the discharge process of different energy storage centers, confirm the discharge characteristics based on the numerical monitoring process, and perform feature verification on the discharge characteristics to calibrate abnormal energy storage centers; Step 2: The other energy storage centers that the abnormal energy storage center communicates with are recorded as associated centers. Based on the changing characteristics of the abnormal energy storage center and the associated centers, the dispatchable characteristics of the associated centers are confirmed. Based on the confirmation process, the abnormal energy storage center is dispatched in real time.

2. The energy storage system scheduling method under the virtual power plant platform according to claim 1, characterized in that: In step 1, the specific method of calibrating the abnormal energy storage center is: Monitor the discharge process of different energy storage centers in real time, and generate discharge data change curves corresponding to the discharge process based on the different discharge data monitored at different times; Confirm the different discharge thresholds associated with different energy storage centers. The discharge thresholds are all preset values. Based on the confirmed discharge thresholds, confirm the measurement standard line associated with the discharge threshold in the discharge data change curve. If there is discharge data exceeding the measurement standard line in the discharge data change curve, record the abnormal discharge signal. Then, record the duration associated with the abnormal discharge signal. If the recorded duration exceeds 1 minute, the corresponding energy storage center is recorded as an abnormal energy storage center.

3. The energy storage system scheduling method under the virtual power plant platform according to claim 2, characterized in that: If the recorded duration does not exceed 1 minute, no calibration is performed.

4. The energy storage system scheduling method under the virtual power plant platform according to claim 1, characterized in that: In step 2, the specific method of performing real-time scheduling processing on the abnormal energy storage center is: Using the current moment as the reference moment, trace back to confirm a set of traceability cycles, where the traceability cycle is a preset cycle. The discharge data associated with the abnormal energy storage center within the traceability cycle is confirmed, and the discharge variation is confirmed based on the discharge data associated with adjacent moments. The maximum value is selected from the confirmed sets of discharge variation values ​​and used as the variation feature of the abnormal energy storage center. Based on the discharge data Fd associated with the current moment, the following is used: (Fd + variation feature) - discharge threshold = dispatchable feature, where the discharge threshold is a preset value. Identify whether the associated center is in an abnormal discharge state at the current moment. The abnormal discharge state means that the discharge data of the corresponding associated center exceeds the associated discharge threshold. If so, no calibration is performed. If not, the associated center is recorded as the center to be adjusted. The discharge data associated with the center to be adjusted during the traceability period is confirmed, and the change characteristics associated with different centers to be adjusted are confirmed. The discharge data F associated with the center to be adjusted at the current moment is confirmed. k , where k represents different centers to be adjusted, using: (F k + change characteristics) = calibration characteristics, confirm the calibration characteristics of the corresponding center to be adjusted, and compare the calibration characteristics with the discharge threshold associated with the corresponding center to be adjusted: If the calibration feature is less than the discharge threshold, the following formula is used: (discharge threshold - calibration feature) = scheduling value to confirm the scheduling value associated with the corresponding center to be scheduled at the next moment; If the calibration feature is greater than or equal to the discharge threshold, the scheduling value associated with the corresponding center to be adjusted at the next moment is directly calibrated to 0; Sum the dispatch values ​​associated with several groups of centers to be dispatched, determine the total dispatch value, and compare the determined total dispatch value with the dispatchable characteristics: If the total dispatch value is less than or equal to the dispatchable characteristic, the energy storage center will be directly dispatched to the abnormal energy storage center based on the dispatch values ​​associated with the different centers to be dispatched. The maximum discharge value of the abnormal energy storage center at the next moment will be simultaneously limited. The maximum discharge value = total dispatch value + discharge threshold.

5. The energy storage system scheduling method under the virtual power plant platform according to claim 4 is characterized in that: If the total dispatch value is greater than the dispatchable characteristic, power dispatch will be carried out on the abnormal energy storage center according to the dispatch values ​​associated with different centers to be dispatched, and the process will stop when the dispatchable characteristic associated with the abnormal energy storage center is met.

6. The operation optimization method of the energy storage system under the virtual power plant platform is characterized in that: The following steps are involved: Step 1: Evaluate the current fluctuation status of different energy storage centers in the working state. From the evaluation process, identify the energy storage centers with current interference and record them as interference center columns; Step 2: For the confirmed interference center column, the energy storage characteristics of different energy storage centers within it are verified and adjusted to effectively stagger the conduction times associated with the corresponding energy storage centers, completing the operation optimization process of different energy storage centers.

7. The operation optimization method of the energy storage system under the virtual power plant platform according to claim 6, characterized in that: In step 1, the specific method for confirming the interference center column is: The current values ​​of different energy storage centers in working state are monitored in real time. From the monitoring process, the change value associated with the current value in a unit time period is confirmed. The current value at the previous moment is proposed to be DL1, and the current value at the next moment is proposed to be DL2. The change value is = DL2-DL1. The change value associated with adjacent moments is confirmed by interference: the change value confirmed in the previous time period is recorded as BH1, and the change value confirmed in the next time period is recorded as BH2. The evaluation value confirmed by the corresponding energy storage center in the adjacent time period is confirmed using: |BH2-BH1|=PD. If PD>Y1, the current energy storage center is recorded as the center to be optimized, and the corresponding adjacent time period is simultaneously recorded as the interference period. Y1 is the preset value. If PD≤Y1, continuous monitoring is performed. The different centers to be optimized are combined in pairs, the center combination column is confirmed, and the interference period associated with the center combination column is confirmed, and it is identified whether there is an intersection period between different interference periods. If so, the specific proportion of the intersection period in the interference period is recorded. If the specific proportion exceeds 40%, the corresponding center combination column is recorded as the interference center column. Otherwise, no calibration is performed.

8. The method for optimizing the operation of an energy storage system under a virtual power plant platform according to claim 6, characterized in that: In step 2, the specific method of verifying and adjusting the energy storage characteristics of different energy storage centers is as follows: Based on the confirmed interference center column, the two groups of energy storage centers associated with it are identified. The original duty cycle and current variation period associated with the energy storage center are then confirmed to determine the conduction duration associated with the corresponding energy storage center. The conduction duration is then adjusted forward or backward in the current variation period. During the adjustment process, it is determined whether the conduction durations associated with the two groups of energy storage centers can be completely staggered. If so, the position of the conduction time of the corresponding energy storage center is recorded and executed. If not, the subsequent analysis process is executed. The original duty cycles associated with the two energy storage centers are synchronously controlled and adjusted downward. Several downward adjustment processes are executed, each process reducing the duty cycle by 0.05 units. The on-time is adjusted forward and backward in each downward adjustment process to determine whether the on-times associated with the two energy storage centers can be completely staggered. If so, the downward adjustment process is completed, and the original duty cycles associated with the corresponding energy storage centers are recorded and executed. The on-time of the designated energy storage center is simultaneously restricted based on the location of the energy storage center with the on-time. If not, the confirmation is continued until the on-times associated with the two energy storage centers can be completely staggered.

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