Flexible power adjusting method and system of energy storage equipment

Abstract

The invention discloses a flexible power regulation method and system for energy storage equipment, and relates to the technical field of power regulation, and the method comprises the steps: determining a power regulation starting node and a power regulation ending node based on a planned power curve of the energy storage equipment; based on the power climbing and descending index set, constructing a power climbing constraint condition and a power descending constraint condition; performing flexible adjustment analysis on the power adjustment starting node based on a power climbing constraint condition to obtain a climbing flexible adjustment strategy; performing flexible adjustment analysis on the power adjustment ending node based on a power reduction constraint condition to obtain a reduction flexible adjustment strategy; and performing flexible control on the energy storage equipment according to the climbing flexible adjustment strategy and the descending flexible adjustment strategy. The technical problem that power adjustment cannot flexibly cope with different working condition changes in the power adjustment process of the energy storage equipment in the prior art is solved, and the technical effects of improving the adjustment precision and adaptability and reducing system fluctuation are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of power regulation, and in particular to a flexible power regulation method and system for energy storage equipment. Background Art

[0002] Energy storage devices typically rely on fixed power regulation methods during power regulation, which lacks sufficient flexibility to cope with varying operating conditions. Because the operating environment and load conditions of energy storage devices can change at any time, traditional power regulation strategies cannot automatically adjust to real-time operating conditions. This results in insufficient regulation accuracy, large power fluctuations, and an inability to effectively cope with sudden load changes or fluctuations in power demand. Summary of the Invention

[0003] The present application provides a flexible power regulation method and system for energy storage equipment, which is used to solve the technical problem in the prior art that power regulation of energy storage equipment cannot flexibly respond to changes in different working conditions.

[0004] In view of the above problems, the present application provides a flexible power regulation method and system for an energy storage device.

[0005] A first aspect of the present application provides a flexible power regulation method for an energy storage device, the method comprising:

[0006] Based on the planned power curve of the energy storage device, the power regulation start node and the power regulation end node are determined; based on the power climb and fall indicator set, the power climb constraint condition and the power fall constraint condition are constructed; based on the power climb constraint condition, the power regulation start node is flexibly regulated and parsed to obtain a climb flexible regulation strategy; based on the power fall constraint condition, the power regulation end node is flexibly regulated and parsed to obtain a fall flexible regulation strategy; and the energy storage device is flexibly controlled according to the climb flexible regulation strategy and the fall flexible regulation strategy.

[0007] A second aspect of the present application provides a flexible power regulation system for an energy storage device, the system comprising:

[0008] A node determination module is used to determine the power regulation start node and the power regulation end node based on the planned power curve of the energy storage device; a constraint condition construction module is used to construct power climbing constraint conditions and power falling constraint conditions based on the power climbing and falling indicator set; a first regulation analysis module is used to perform flexible regulation analysis on the power regulation start node based on the power climbing constraint conditions to obtain a climbing flexible regulation strategy; a second regulation analysis module is used to perform flexible regulation analysis on the power regulation end node based on the power falling constraint conditions to obtain a falling flexible regulation strategy; a flexible control module is used to flexibly control the energy storage device according to the climbing flexible regulation strategy and the falling flexible regulation strategy.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] This application determines the power regulation start node and the power regulation end node based on the planned power curve of the energy storage device; constructs power climbing constraints and power falling constraints based on the power climbing constraint set; performs flexible regulation analysis on the power regulation start node based on the power climbing constraint to obtain a climbing flexible regulation strategy; performs flexible regulation analysis on the power regulation end node based on the power falling constraint to obtain a falling flexible regulation strategy; and flexibly controls the energy storage device according to the climbing flexible regulation strategy and the falling flexible regulation strategy. The present invention solves the technical problem in the prior art that the power regulation process of the energy storage device cannot flexibly respond to changes in different working conditions. By introducing a flexible regulation strategy, the technical effect of improving regulation accuracy and adaptability and reducing system fluctuations is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] 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.

[0012] Figure 1 A schematic flow chart of a flexible power regulation method for an energy storage device provided in an embodiment of the present application;

[0013] Figure 2 A schematic diagram of the structure of a flexible power regulation system for an energy storage device provided in an embodiment of the present application.

[0014] Description of reference numerals: node determination module 11 , constraint condition construction module 12 , first adjustment analysis module 13 , second adjustment analysis module 14 , flexible control module 15 . DETAILED DESCRIPTION

[0015] The present application provides a flexible power regulation method and system for energy storage equipment to solve the technical problem that the power regulation cannot flexibly respond to different working condition changes in the prior art. The technical effect of improving regulation accuracy and adaptability and reducing system fluctuations is achieved by introducing a flexible regulation strategy.

[0016] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0017] It should be noted that any variation of the terms "comprise" and "have" is intended to cover non-exclusive inclusion, for example, a process, method, system, product or server comprising a series of steps or units does not have to be limited to those clearly listed steps or units, but can include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices.

[0018] Embodiment one, as shown in the present application provides a flexible power regulation method for energy storage equipment, the method comprises: Figure 1

[0019] Step S100: determining a power regulation start node and a power regulation end node based on a planned power curve of the energy storage equipment.

[0020] In the embodiments of the present application, first, the power demand data of the energy storage equipment in different time periods is collected to form a planned power set, and a curve fitting method (such as least squares method) is used to fit these data into a continuous planned power curve, reflecting the power change trend of the energy storage equipment in the predetermined time. Then, according to the planned power curve, the start node and the end node of the power regulation are determined. The power regulation start node is selected at the time point when the planned power curve changes significantly or the power needs to be adjusted, and the end node is the time point when the energy storage equipment reaches the target power and enters the stable state.

[0021] Further, the method provided by the embodiments of the present application further comprises:

[0022] obtaining a planned power set of the energy storage equipment; performing curve fitting according to the planned power set to generate the planned power curve.

[0023] ​In this embodiment, power demand data for energy storage devices at different time periods is first collected to form a planned power set. This power set includes the expected power values ​​for the devices at each time point, derived from grid scheduling, load forecasting, and the device's charge and discharge status. The planned power set is then curve-fitted using the least squares method. This process converts discrete power data points into a continuous curve, generating a planned power curve for the energy storage device.

[0024] Step S200: constructing power ramp-up constraint conditions and power ramp-down constraint conditions based on the power ramp-down indicator set.

[0025] In an embodiment of the present application, based on the power climb and fall indicator set, the power climb indicator set and the power fall indicator set are first determined separately. The power climb indicator set includes the climb time, the climb power interval, and the climb power target value, while the power fall indicator set includes the fall time, the fall power interval, and the fall power target value. Then, based on the power climb indicator set, power climb constraints are set to ensure that power regulation can be carried out smoothly according to the set time and rate during the climb process. Similarly, based on the power fall indicator set, power fall constraints are set to ensure that the regulation process in the power fall phase also meets the predetermined safety range and rate requirements.

[0026] Furthermore, in the method provided in the embodiment of the application, constructing the power ramp-up constraint condition and the power ramp-down constraint condition further includes:

[0027] The power climb and fall indicator set includes a power climb indicator set and a power fall indicator set, the power climb indicator set includes a climb time, a climb power interval and a climb power target value, and the power fall indicator set includes a fall time, a fall power interval and a fall power target value; based on the power climb indicator set, the power climb constraint condition is set; based on the power fall indicator set, the power fall constraint condition is set.

[0028] In an embodiment of the present application, first, by collecting the power demand data of the energy storage device in different time periods, a power climbing index set and a power falling index set are formed. The power climbing index set includes the climbing time, the climbing power interval and the climbing power target value, which respectively represent the time required for the energy storage device to increase from the current power to the target power, the rate of power increase and the target power value. The power falling index set includes the falling time, the falling power interval and the falling power target value, which respectively represent the time required for the device to fall from the current power to the target power, the rate of power fall and the lower power value that needs to be reached.

[0029] Then, based on the power ramp indicator set, the power ramp constraint conditions are set. First, the power ramp rate range is determined through a comprehensive analysis of the ramp time, ramp power interval, and ramp power target value. To ensure a smooth transition during the power adjustment process, mathematical modeling methods, such as optimization algorithms, are used to limit the power increase rate, ensuring that the equipment can gradually increase power within the set ramp time without exceeding the power cap too quickly, causing excessive load or grid fluctuations. The set ramp constraint conditions ensure that power adjustment always remains within a safe range and ultimately reaches the predetermined target power.

[0030] Similarly, power reduction constraints are set based on the power reduction indicator set. First, the power reduction rate is determined by analyzing the reduction time, power reduction interval, and target power reduction value. Dynamic control methods are used to set a maximum power reduction rate to prevent excessive power reduction from causing rapid discharge of energy storage devices, affecting device lifespan or causing grid instability. These reduction constraints ensure that device power can be reduced to the target power within an appropriate timeframe and maintain stable operation to meet the grid's load requirements.

[0031] Step S300: performing flexible regulation analysis on the power regulation start node based on the power ramp constraint condition to obtain a ramp flexible regulation strategy.

[0032] In this embodiment of the present application, when performing flexible regulation analysis on the power regulation start node based on power ramp constraints, the power ramp slope (i.e., the rate of change of power per unit time) is first calculated. Then, combining the calculated power ramp slope with the set constraints, a flexible ramp regulation decision is made for the power regulation start node, generating a ramp flexible regulation strategy.

[0033] Furthermore, in the method provided in the embodiment of the application, flexible adjustment analysis is performed on the power adjustment start node based on the power ramp constraint condition to obtain a ramp flexible adjustment strategy, further comprising:

[0034] Based on the power climbing constraint condition, a power climbing slope is calculated; and according to the power climbing slope and the power climbing constraint condition, a flexible climbing adjustment decision is made on the power adjustment start node to generate the climbing flexible adjustment strategy.

[0035] In the embodiment of the present application, based on the power ramp constraint condition, the power ramp slope is first calculated by dividing the target power by the ramp time.

[0036] Next, based on the calculated power ramp slope and power ramp constraints, a rule-based control approach is used to make flexible ramp adjustments at the power ramp start point. The power ramp constraints (such as ramp time, ramp power interval, and ramp power target) are combined to determine the adjustment strategy for the power ramp start point. Specifically, the power ramp slope and the actual operating status of the equipment are combined to determine the starting point of power adjustment and the rate of power change during the adjustment process, ensuring a smooth power increase within the specified timeframe.

[0037] Ultimately, the generated climbing flexible regulation strategy will ensure that the energy storage device can smoothly increase from the current power state to the target power state according to the set power climbing slope and power climbing constraints, avoiding equipment instability or grid load imbalance caused by too fast or too slow regulation.

[0038] Step S400: performing flexible adjustment analysis on the power adjustment end node based on the power reduction constraint condition to obtain a reduction flexible adjustment strategy.

[0039] In this embodiment, based on the power reduction constraint, the power reduction slope (i.e., the rate of change of power per unit time) is first calculated. Then, based on the calculated power reduction slope and the set power reduction constraint, a flexible reduction adjustment decision is made for the power adjustment end node, resulting in a flexible reduction adjustment strategy.

[0040] Furthermore, in the method provided in the embodiment of the application, flexible adjustment analysis is performed on the power adjustment end node based on the power reduction constraint condition to obtain a power reduction flexible adjustment strategy, which further includes:

[0041] Based on the power reduction constraint, a power reduction slope is calculated; and a flexible reduction adjustment decision is made on the power adjustment end node according to the power reduction slope and the power reduction constraint, to generate the reduction flexible adjustment strategy.

[0042] In the embodiment of the present application, based on the power reduction constraint, the power reduction slope is first calculated using linear interpolation. This method calculates the rate of change of power per unit time by analyzing the reduction time and the reduction power interval. For example, if the energy storage device is reduced from 100kW to 50kW and this adjustment is required to be completed within 10 minutes, the linear interpolation method can be used to calculate that the power reduction per minute is 5kW, that is, the power reduction slope is 5kW / min, which means that the power reduction is 5kW per minute.

[0043] Based on the calculated power reduction slope and combined with the power reduction constraints, a rule-based control approach is used to make flexible power reduction decisions at the power regulation end node. This approach considers the power reduction time, power reduction interval, and target power reduction value to set an appropriate power reduction rate, ensuring a smooth transition to the target power value. The control system determines the timing and speed of power adjustment based on the power reduction slope and the current device status, ensuring that the power reduction process is neither too rapid nor too slow, thereby ensuring stable device operation despite changes in grid load demand.

[0044] Finally, based on the above decision-making process, the generated flexible power reduction regulation strategy will ensure that the energy storage device completes the power reduction process at a steady rate at the end node of power regulation, which not only meets the needs of the power grid but also ensures the stability and safety of the equipment throughout the entire regulation process.

[0045] Step S500: flexibly controlling the energy storage device according to the climbing flexible adjustment strategy and the descending flexible adjustment strategy.

[0046] In an embodiment of the present application, according to the climbing flexible regulation strategy, the energy storage device is first controlled to start power climbing, and the SOC (battery state of charge) value during the climbing phase is simultaneously monitored. Subsequently, it is determined whether the SOC value during the climbing phase meets multiple SOC constraints, such as the set SOC upper and lower limits. If the SOC value meets any of the constraints, the climbing-power reduction instruction is triggered, and the power output is adjusted to ensure that the power climbing process is smooth and meets the equipment safety requirements.

[0047] Next, based on the flexible power reduction strategy, the energy storage device is controlled to initiate power reduction, while the SOC value during the reduction phase is monitored. The SOC value during the reduction phase is then determined to meet multiple SOC constraints. If the SOC value meets any of the constraints, a power reduction instruction is triggered, controlling the power reduction rate to ensure that the device does not over-discharge or otherwise become unstable during the power reduction process.

[0048] Through this process, SOC monitoring and power adjustment instructions in the climbing and descending stages achieve real-time flexible control, ensuring that the energy storage equipment remains stable throughout the power regulation process, avoiding overcharging and discharging, ensuring battery safety and smooth operation of the power grid, and thus completing flexible control of the energy storage equipment.

[0049] Furthermore, in the method provided in the embodiment of the application, the energy storage device is flexibly controlled according to the climbing flexible adjustment strategy and the descending flexible adjustment strategy, and further includes:

[0050] The energy storage device is controlled according to the climbing flexible adjustment strategy to synchronously obtain the SOC monitoring value of the climbing phase; it is determined whether the SOC monitoring value of the climbing phase meets multiple SOC constraint conditions; if the SOC monitoring value of the climbing phase meets any SOC constraint condition, a climb-power reduction instruction is triggered.

[0051] In the embodiment of the present application, according to the climbing flexible regulation strategy, the power climbing process of the energy storage device is first started by the control system to ensure that the power gradually increases to the target value. During this process, the SOC (battery state of charge) of the energy storage device is monitored in real time, that is, the ratio of the energy currently stored in the battery to the maximum capacity. In order to obtain real-time data of SOC, a battery management system (BMS) is used. The system calculates the SOC value of the battery in real time through current and voltage sensors and algorithms.

[0052] The SOC value is then used to determine whether it satisfies multiple preset SOC constraints. These constraints include upper and lower limits for battery charging and discharging. For example, the SOC value must not exceed a set maximum value (e.g., 98%) to prevent overcharging, nor fall below a minimum discharge value (e.g., 2%) to protect the battery from excessive discharge. By comparing the SOC value with these constraints, the control system can determine in real time whether adjustments to the power regulation process are necessary.

[0053] If the SOC monitoring value meets any constraint during the ramp-up process, the control system triggers a ramp-down power command. This command adjusts the power ramp rate based on the battery's current SOC state to ensure the energy storage device does not continue to ramp up when overcharged. It can also reduce the power ramp rate or stop the ramp if necessary to avoid overloading or damaging the battery.

[0054] Furthermore, in the method provided in the embodiment of the application, the energy storage device is flexibly controlled according to the climbing flexible adjustment strategy and the descending flexible adjustment strategy, and further includes:

[0055] The energy storage device is controlled according to the descent flexible adjustment strategy to synchronously obtain the SOC monitoring value of the descent phase; it is determined whether the SOC monitoring value of the descent phase meets multiple SOC constraint conditions; if the SOC monitoring value of the descent phase meets any SOC constraint condition, a descent-power reduction instruction is triggered.

[0056] In the embodiment of the present application, according to the descent flexible regulation strategy, the control system is first used to start the power reduction process of the energy storage device, and the SOC (battery state of charge) monitoring value of the energy storage device during the descent phase is simultaneously monitored. SOC refers to the ratio of the current stored energy of the battery to the maximum capacity of the battery, which can reflect the battery status of the energy storage device. During this process, the battery management system (BMS) calculates the current SOC value by monitoring the battery voltage and current in real time.

[0057] Next, the SOC monitoring value is determined to determine whether it meets multiple preset SOC constraints. These constraints ensure that the battery does not exceed safe charge or discharge limits during the descent process, preventing damage to the battery due to overcharging or over-discharging.

[0058] If the monitored SOC value meets any of the SOC constraints, for example, if the SOC value falls close to the lower limit, a descent-power reduction command is triggered. This command adjusts the power reduction rate of the energy storage device to ensure that the power reduction process is properly controlled when the device reaches a safe SOC level. After the descent command is triggered, the energy storage device will adjust the power output rate to ensure safe battery discharge and avoid overdischarge or excessive battery load.

[0059] In the embodiments of the present application, in summary, the embodiments of the present application have at least the following technical effects:

[0060] This application determines the power regulation start node and the power regulation end node based on the planned power curve of the energy storage device; constructs power climbing constraints and power falling constraints based on the power climbing constraint set; performs flexible regulation analysis on the power regulation start node based on the power climbing constraint to obtain a climbing flexible regulation strategy; performs flexible regulation analysis on the power regulation end node based on the power falling constraint to obtain a falling flexible regulation strategy; and flexibly controls the energy storage device according to the climbing flexible regulation strategy and the falling flexible regulation strategy. The present invention solves the technical problem in the prior art that the power regulation process of the energy storage device cannot flexibly respond to changes in different working conditions. By introducing a flexible regulation strategy, the technical effect of improving regulation accuracy and adaptability and reducing system fluctuations is achieved.

[0061] Embodiment 2 is based on the same inventive concept as the flexible power regulation method of an energy storage device in the above embodiment. Figure 2 As shown, the present application provides a flexible power regulation system for energy storage equipment. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0062] The node determination module 11 is used to determine the power regulation start node and the power regulation end node based on the planned power curve of the energy storage device; the constraint condition construction module 12 is used to construct the power climbing constraint condition and the power falling constraint condition based on the power climbing and falling indicator set; the first regulation analysis module 13 is used to perform flexible regulation analysis on the power regulation start node based on the power climbing constraint condition to obtain the climbing flexible regulation strategy; the second regulation analysis module 14 is used to perform flexible regulation analysis on the power regulation end node based on the power falling constraint condition to obtain the falling flexible regulation strategy; the flexible control module 15 is used to flexibly control the energy storage device according to the climbing flexible regulation strategy and the falling flexible regulation strategy.

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

[0064] Obtaining a planned power set of the energy storage device; performing curve fitting according to the planned power set to generate the planned power curve.

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

[0066] The power climb and fall indicator set includes a power climb indicator set and a power fall indicator set, the power climb indicator set includes a climb time, a climb power interval and a climb power target value, and the power fall indicator set includes a fall time, a fall power interval and a fall power target value; based on the power climb indicator set, the power climb constraint condition is set; based on the power fall indicator set, the power fall constraint condition is set.

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

[0068] Based on the power climbing constraint condition, a power climbing slope is calculated; and according to the power climbing slope and the power climbing constraint condition, a flexible climbing adjustment decision is made on the power adjustment start node to generate the climbing flexible adjustment strategy.

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

[0070] Based on the power reduction constraint, a power reduction slope is calculated; and a flexible reduction adjustment decision is made on the power adjustment end node according to the power reduction slope and the power reduction constraint, to generate the reduction flexible adjustment strategy.

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

[0072] According to the climbing flexible adjustment strategy, the energy storage device is controlled, and a climbing stage SOC monitoring value is obtained synchronously; it is judged whether the climbing stage SOC monitoring value meets a plurality of SOC constraint conditions; if the climbing stage SOC monitoring value meets any SOC constraint condition, a climbing-power-down instruction is triggered.

[0073] Further, the system is further used to realize the following functions:

[0074] According to the climbing flexible adjustment strategy, the energy storage device is controlled, and a climbing stage SOC monitoring value is obtained synchronously; it is judged whether the climbing stage SOC monitoring value meets a plurality of SOC constraint conditions; if the climbing stage SOC monitoring value meets any SOC constraint condition, a climbing-power-down instruction is triggered.

[0075] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The above-mentioned specific embodiments of the present application are described. The processes depicted in the drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0076] The above-mentioned is only the preferred embodiment of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0077] The present application is only an exemplary description of the present application, and should be considered as covering any and all modifications, changes, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art can make various modifications and changes to the present application without departing from the scope of the present application. Thus, if these modifications and changes of the present application belong to the scope of the present application and its equivalents, the present application intends to include these modifications and changes.

Claims

1. A flexible power regulation method for an energy storage device, characterized in that: The method comprises: Determine the power regulation start node and the power regulation end node based on the planned power curve of the energy storage device; Based on the power ramp-down indicator set, power ramp-up constraint conditions and power ramp-down constraint conditions are constructed; Performing flexible regulation analysis on the power regulation start node based on the power ramp constraint condition to obtain a ramp flexible regulation strategy; Performing flexible regulation analysis on the power regulation end node based on the power reduction constraint condition to obtain a reduction flexible regulation strategy; The energy storage device is flexibly controlled according to the climbing flexible adjustment strategy and the descending flexible adjustment strategy.

2. The method according to claim 1, wherein The method comprises: Obtaining a planned power set of the energy storage device; Curve fitting is performed according to the planned power set to generate the planned power curve.

3. The method according to claim 1, wherein Based on the power ramp-down indicator set, power ramp-up and power ramp-down constraints are constructed, including: The power climb and fall indicator set includes a power climb indicator set and a power fall indicator set, wherein the power climb indicator set includes a climb time, a climb power interval and a climb power target value, and the power fall indicator set includes a fall time, a fall power interval and a fall power target value; Setting the power climb constraint condition based on the power climb indicator set; The power reduction constraint condition is set based on the power reduction indicator set.

4. The method according to claim 1, wherein Performing flexible regulation analysis on the power regulation start node based on the power ramp constraint condition to obtain a ramp flexible regulation strategy includes: Calculating a power ramp-up slope based on the power ramp-up constraint condition; A flexible climbing adjustment decision is made on the power adjustment start node according to the power climbing slope and the power climbing constraint condition, and the climbing flexible adjustment strategy is generated.

5. The method according to claim 1, wherein Performing flexible adjustment analysis on the power adjustment end node based on the power reduction constraint condition to obtain a power reduction flexible adjustment strategy includes: Calculating a power reduction slope based on the power reduction constraint condition; A flexible down-regulation decision is made on the power regulation end node according to the power down-slope and the power down-constraint condition, and the down-regulation flexible regulation strategy is generated.

6. The method according to claim 1, wherein The energy storage device is flexibly controlled according to the climbing flexible adjustment strategy and the descending flexible adjustment strategy, including: Controlling the energy storage device according to the climbing flexible regulation strategy, and synchronously obtaining the SOC monitoring value during the climbing phase; Determining whether the SOC monitoring value during the climbing phase satisfies a plurality of SOC constraint conditions; If the SOC monitoring value in the climbing phase meets any SOC constraint condition, a climbing-power reduction instruction is triggered.

7. The method according to claim 1, wherein The energy storage device is flexibly controlled according to the climbing flexible adjustment strategy and the descending flexible adjustment strategy, including: Controlling the energy storage device according to the descent flexible regulation strategy to synchronously obtain a descent phase SOC monitoring value; Determining whether the SOC monitoring value in the descending phase satisfies a plurality of SOC constraint conditions; If the SOC monitoring value in the descending phase meets any SOC constraint condition, a descending-power reduction instruction is triggered.

8. A flexible power regulation system for energy storage equipment, characterized in that: The system is used to execute the flexible power regulation method for an energy storage device according to any one of claims 1 to 7, and the system includes: A node determination module is used to determine a power regulation start node and a power regulation end node based on a planned power curve of the energy storage device; A constraint condition building module, used to build power climbing constraint conditions and power falling constraint conditions based on a power climbing and falling indicator set; A first regulation analysis module is configured to perform flexible regulation analysis on the power regulation start node based on the power ramp constraint condition to obtain a ramp flexible regulation strategy; A second regulation analysis module is configured to perform flexible regulation analysis on the power regulation end node based on the power reduction constraint condition to obtain a reduction flexible regulation strategy; A flexible control module is used to flexibly control the energy storage device according to the climbing flexible adjustment strategy and the descending flexible adjustment strategy.

Images