Energy storage system coordination power distribution method and device, electronic equipment and storage medium

Abstract

The application discloses a kind of energy storage system collaborative power distribution method, device, electronic equipment and storage medium, it is related to energy storage system technical field, comprising: obtaining the power data and loss power data of each energy storage unit in energy storage system in preset evaluation period, different operating power, based on above-mentioned data respectively constructs the energy storage power change curve and loss power change curve of each energy storage unit, then through time window division extraction each time window corresponding effective energy storage feature, according to the effective energy storage feature sequence of each unit determines its best energy storage power interval, finally combined with energy storage system total power constraint and the activation state of each energy storage unit, complete to the collaborative power distribution of activation unit.The application can improve the delicacy and rationality of energy storage system power distribution, avoid part unit long-term high loss or overload operation, improve system overall energy utilization efficiency and operation coordination.

Description

Technical Field

[0001] This application relates to the field of energy storage system technology, and in particular to a method, apparatus, electronic device and storage medium for coordinated power distribution in an energy storage system. Background Technology

[0002] With the accelerated construction of new power systems, the installed capacity and application scenarios of energy storage systems are constantly expanding. In actual engineering, energy storage systems are usually operated by multiple energy storage units in parallel or in combination to participate in tasks such as peak shaving and valley filling, frequency and voltage regulation, and smoothing of new energy fluctuations. After long-term operation, different energy storage units will show significant differences in terms of internal resistance, attenuation degree, and energy conversion efficiency.

[0003] In related technologies, power distribution in energy storage systems often adopts methods such as average distribution based on rated power, distribution based on capacity ratio, or simple equalization distribution based on state of charge. These methods mainly rely on static parameters for distribution and do not fully consider the loss differences of energy storage units under real-time operating conditions. It is difficult to identify the optimal power operating range of each energy storage unit in actual operation, which can easily cause some units to operate in a high-loss or low-efficiency state for a long time. At the same time, there is a lack of system-level collaborative distribution mechanism based on the optimal operating range of the units. Usually, relatively crude methods of downsizing or limiting are used, resulting in some energy storage units operating under overload while others are idle, which reduces the overall energy utilization efficiency and operational coordination of the system. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and storage medium for collaborative power allocation in an energy storage system. It addresses the problems in related technologies where power allocation is based solely on static parameters, fails to adequately consider the loss differences of energy storage units under real-time operating conditions, cannot identify the optimal operating range of units, and lacks a system-level collaborative allocation mechanism based on unit characteristics.

[0005] According to a first aspect of this application, a method for coordinated power allocation in an energy storage system is provided, comprising:

[0006] Acquire the power data and loss power data associated with each energy storage unit in the energy storage system under different operating power within a preset evaluation period; Based on the power data and loss power data of each energy storage unit, the energy storage power change curve and loss power change curve of the energy storage unit are constructed respectively. Based on the energy storage power change curve and the loss power change curve of each energy storage unit, the effective energy storage characteristics corresponding to each time window are extracted by dividing the time window. Based on the effective energy storage characteristic sequence of each energy storage unit in all time windows within its evaluation period, the optimal energy storage power range of the energy storage unit is determined. Based on the total power constraint of the energy storage system and the activation status of each energy storage unit, the activated energy storage units are coordinated for power allocation according to the optimal energy storage power range of each energy storage unit.

[0007] According to a second aspect of this application, a collaborative power distribution device for an energy storage system is provided, comprising: The acquisition module is configured to acquire the power data and loss power data associated with each energy storage unit in the energy storage system under different operating power within a preset evaluation period; The construction module is configured to construct the energy storage power change curve and the loss power change curve of each energy storage unit based on the power data and loss power data of each energy storage unit. The extraction module is configured to extract the effective energy storage characteristics corresponding to each time window based on the energy storage power change curve and the loss power change curve of each energy storage unit by dividing the time window. The determination module is configured to determine the optimal energy storage power range of each energy storage unit based on the effective energy storage characteristic sequence corresponding to all time windows within its evaluation period. The allocation module is configured to perform coordinated power allocation to each activated energy storage unit based on the optimal energy storage power range of each energy storage unit, according to the total power constraint of the energy storage system and the activation status of each energy storage unit.

[0008] According to a third aspect of this application, an electronic device is provided, comprising: At least one processor; and memory that is communicatively connected to at least one processor; The memory stores instructions that can be executed by at least one processor, which enables the at least one processor to perform the energy storage system cooperative power distribution method described in the first aspect above.

[0009] According to a fourth aspect of this application, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause a computer to execute the energy storage system cooperative power allocation method described in the first aspect above.

[0010] According to a fifth aspect of this application, a computer program product is provided, including a computer program that, when executed by a processor, implements the energy storage system cooperative power distribution method as described in the first aspect above.

[0011] This application addresses the problems in related technologies where power allocation is based solely on static parameters, without fully considering the loss differences of energy storage units under real-time operating conditions, and without being able to identify the optimal operating range of units and a system-level collaborative allocation mechanism based on unit characteristics. This achieves the technical effect of improving the precision and rationality of power allocation in energy storage systems, preventing some units from operating in high-loss or overload states for extended periods, and improving the overall energy utilization efficiency and operational coordination of the system. By acquiring power data and loss data of each energy storage unit under different operating power conditions within a preset evaluation period, constructing corresponding energy storage power change curves and loss change curves, extracting effective energy storage characteristics through time window division, determining the optimal energy storage power range of each unit, and then combining the total power constraint of the energy storage system with the activation status of each energy storage unit for coordinated power allocation, the application solves these problems.

[0012] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0013] To more clearly illustrate the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 A schematic flowchart illustrating a collaborative power allocation method for an energy storage system provided in an embodiment of this application; Figure 2 This is a schematic diagram of the structure of a collaborative power distribution device for an energy storage system provided in an embodiment of this application. Detailed Implementation

[0015] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application, including various details to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0016] The following description, with reference to the accompanying drawings, outlines an energy storage system collaborative power distribution method, apparatus, electronic device, and storage medium according to embodiments of this application.

[0017] Figure 1 This is a flowchart illustrating a collaborative power allocation method for an energy storage system provided in an embodiment of this application.

[0018] like Figure 1 As shown, the method includes the following steps: Step 101: Obtain the power data and loss power data associated with each energy storage unit in the energy storage system under different operating power within a preset evaluation period.

[0019] In some embodiments, all available energy storage units are first extracted from the energy storage system, and the total number of energy storage units is denoted as j. The j energy storage units are then arranged in the order of extraction to form an energy storage unit sequence. , ... Obtain the assessment cycle preset by the operator or control system; the duration of the assessment cycle is denoted as [missing information]. The start time of the assessment cycle is recorded as . The end time is recorded as ,in = + .

[0020] For each energy storage unit in the sequence, its operating power is adjusted within the corresponding evaluation period. At a certain moment, the operating power of the energy storage unit is set to 0, and then the operating power is gradually increased in a monotonically linear manner until... At any given time, the operating power reaches the rated energy storage capacity of the energy storage unit. This loading method can fully cover the entire operating power range of the energy storage unit from no-load to full-load, ensuring the acquisition of characteristic data across the entire power range.

[0021] Throughout the entire evaluation period, the energy storage power value at each moment is collected in real time, forming a continuous energy storage power data stream. Simultaneously, the loss power at the same moment is collected synchronously. The loss power can be obtained through various methods such as direct measurement by a power analyzer, calculation of sampling data from the energy storage converter PCS, online energy balance algorithm derivation, or electrical difference method, ensuring the accuracy and real-time nature of the loss data.

[0022] This step, through standardized evaluation cycle settings and linearly increasing power loading modes, can systematically and comprehensively acquire dynamic power and loss data corresponding to each energy storage unit across the full power range. This provides reliable basic data support for accurately identifying the loss characteristics of energy storage units and avoids characteristic identification deviations caused by incomplete data sampling or unreasonable loading methods.

[0023] Step 102: Based on the power data and loss power data of each energy storage unit, construct the energy storage power change curve and loss power change curve of the energy storage unit respectively.

[0024] In some embodiments, the energy storage power data and loss power data collected during the evaluation period are first preprocessed. Statistical evaluation period Let m be the total number of moments within a given time period. Arrange the energy storage power values ​​corresponding to the m moments in chronological order to form an energy storage power sequence. , ... Similarly, by arranging the power loss values ​​corresponding to the same moment in chronological order, a power loss sequence is formed. , ... .

[0025] Construct a two-dimensional coordinate system, with the time of the evaluation cycle as the horizontal axis, and the scale of the horizontal axis starting from the beginning of the evaluation cycle. Extending to the end time The power value is used as the vertical axis. Each data point in the energy storage power sequence is sequentially marked on this two-dimensional coordinate system. By connecting discrete sampling points or using interpolation fitting, a continuous energy storage power variation curve is generated. Using the same coordinate system as the reference, the data points in the power loss sequence are labeled, and the corresponding power loss variation curves are generated. .

[0026] The energy storage power variation curve can intuitively reflect the linear power loading process of the energy storage unit from no-load to full-load within the evaluation period, while the loss power variation curve presents the real-time loss level of the energy storage unit under different operating power. The two curves are constructed based on a unified time axis, ensuring strict synchronization of power data and loss data in the time dimension, laying the foundation for accurate extraction of the operating characteristics of the energy storage unit.

[0027] This step transforms discrete sampling data into continuous characteristic curves, clearly demonstrating the dynamic changes between the power and losses of the energy storage unit, thus ensuring the accuracy and data consistency of subsequent characteristic analysis.

[0028] Step 103: Based on the energy storage power change curve and the loss power change curve of each energy storage unit, extract the effective energy storage characteristics corresponding to each time window by dividing the time window.

[0029] In some embodiments, the energy storage power change curve and the loss power change curve are mapped to the same time coordinate system, so that the two curves share a unified horizontal axis time scale and vertical axis power scale, forming a unique two-dimensional coordinate system, ensuring that the power data and loss data are completely synchronized and correspond in the time dimension.

[0030] Extract the preset time window duration From the beginning of the assessment period Starting from this point, time windows are sequentially divided along the timeline. The duration of each window is then stacked based on the start time of the first time window. The end time of the first time window is obtained; then, the end time of the first time window is used as the start time of the second time window, and the duration is continued to be added. This process continues until the end of the entire assessment cycle. All the divided time windows are arranged in chronological order to form a time window sequence. , ... Each time window corresponds to a continuous interval on the energy storage power change curve and the loss power change curve.

[0031] For any time window in the time window sequence Extract the corresponding energy storage power change curve range. and power loss variation curve range Draw two straight lines perpendicular to the time axis, one at the start time and the other at the end time of the time window. These two lines intersect... , These areas collectively form one or more enclosed regions. The total area of ​​all enclosed regions is calculated, and this area value is used as the energy storage unit's area within a time window. The corresponding effective energy storage characteristics Effective energy storage characteristics can intuitively reflect the matching relationship between the power output capacity and loss level of the energy storage unit within the time window. The larger the area value, the higher the power output corresponding to the unit loss of the energy storage unit within the power range, and the better the operating efficiency.

[0032] This step achieves refined segmentation of the local operating characteristics of the energy storage unit by dividing the synchronous time window under a unified coordinate system. At the same time, it adopts the method of quantifying the area of ​​the closed region to transform the dynamic power-loss characteristics into directly comparable numerical features, providing an objective and quantitative basis for subsequent accurate identification of the optimal operating range of the energy storage unit.

[0033] Step 104: Based on the effective energy storage characteristic sequence corresponding to all time windows within the evaluation period of each energy storage unit, determine the optimal energy storage power range of the energy storage unit.

[0034] In some embodiments, the effective energy storage characteristics of each energy storage unit within all time windows of the evaluation period are arranged in chronological order of the time windows to form an effective energy storage characteristic sequence for that energy storage unit. , ... , where k is the total number of time windows. The effective energy storage characteristic sequence fully records the power output and loss matching characteristics of the energy storage unit in different power ranges during the entire power loading process from no-load to full-load.

[0035] The effective energy storage feature with the largest value is selected from the effective energy storage feature sequence and denoted as . The value of the effective energy storage characteristic directly reflects the operating efficiency of the energy storage unit within the corresponding power range. The larger the value, the higher the power output that the energy storage unit can achieve per unit loss within that range, which is the range with the optimal operating efficiency of the energy storage unit.

[0036] Sure Extract the corresponding energy storage power change curve range within the given time window. This curve range completely covers the variation range of energy storage power within this high-efficiency operating range. The minimum and maximum energy storage power values ​​are extracted respectively, and denoted as . and The two are combined to form the energy storage unit. Corresponding optimal energy storage power range ,Right now .

[0037] Repeat the above process, processing each energy storage unit in the energy storage unit sequence in turn, to obtain the optimal energy storage power range for each energy storage unit. Arrange these ranges according to the order of the energy storage unit sequence to form the optimal energy storage power range sequence. , ... , where j is the total number of available energy storage units in the energy storage system.

[0038] This step accurately locates the optimal operating power range of energy storage units by quantifying the effective energy storage characteristic sequence, avoiding the subjectivity and bias of traditional methods that divide operating ranges based on experience or static parameters. This ensures that each energy storage unit can be identified as having its highest efficiency range in actual operation, providing a core basis for subsequent collaborative power allocation based on unit characteristics.

[0039] Step 105: Based on the total power constraint of the energy storage system and the activation status of each energy storage unit, perform coordinated power allocation for each activated energy storage unit according to the optimal energy storage power range of each energy storage unit.

[0040] In some embodiments, the total energy storage power of the energy storage system is obtained, denoted as... Determine the set of energy storage units that need to be activated at the current time. Extract the maximum energy storage power within the optimal energy storage power range for each activated energy storage unit, and sum all the maximum energy storage powers to obtain the total load energy storage power.

[0041] Calculate the remaining energy storage capacity, where the remaining energy storage capacity is equal to the total energy storage capacity. Subtract the total load energy storage power. Compare the remaining energy storage power with the preset energy storage power redundancy. If the remaining energy storage power is greater than or equal to the energy storage power redundancy, it means that the system has sufficient power margin. At this time, the maximum energy storage power of each activated energy storage unit is used as the actual allocated power, and the real-time changes of the total load energy storage power are continuously monitored.

[0042] If the remaining energy storage capacity is less than the energy storage capacity redundancy, or the total load energy storage capacity is greater than the total energy storage capacity. If the operator presets a% reduction ratio, then the maximum energy storage power of all activated energy storage units will be reduced simultaneously. During the reduction process, the power value of each energy storage unit must not be lower than the minimum energy storage power in its respective optimal energy storage power range. After the reduction is completed, the total load energy storage power will be recalculated and compared with the total energy storage power. The energy storage power redundancy is compared with the above judgment and adjustment process until the power allocation conditions are met.

[0043] If, after multiple adjustments, the power of all activated energy storage units has been reduced to the minimum energy storage power within their optimal energy storage power range, but the total load energy storage power still cannot meet the system's total power constraint or redundancy requirements, an audible and visual alarm will generate a warning signal, simultaneously prompting the operator to request manual adjustment. If the operator chooses manual adjustment, the site personnel will manually complete the actual power allocation operation for each activated energy storage unit based on the actual operating conditions. If the operator does not choose manual adjustment, or does not perform any operation within the specified response time, the power will continue to be reduced by a preset reduction ratio 'a%' based on the current minimum energy storage power of each activated energy storage unit, exceeding the minimum power limit of the optimal energy storage power range. After each reduction, the total load energy storage power will be recalculated and assessed, iterating this process until the actual power allocation for all activated energy storage units is completed. After allocation, an actual power allocation report for each activated energy storage unit will be automatically generated, displaying the allocation results and operating parameters of each unit to the operator.

[0044] This step establishes a collaborative allocation mechanism based on the optimal operating range of each energy storage unit. This maximizes the utilization of each unit's high-efficiency operating characteristics within the system's total power constraints, preventing some units from operating at high losses or overload for extended periods, while reducing idle and inefficient operation of other units. Through a multi-level process involving tiered derating, early warning alerts, and manual intervention, the system balances operational safety with engineering feasibility, effectively improving the overall energy utilization efficiency and operational coordination of the energy storage system.

[0045] Compared with related technologies, in this embodiment, the power data and loss power data associated with each energy storage unit in the energy storage system under different operating power within a preset evaluation period are obtained; based on the power data and loss power data of each energy storage unit, the energy storage power change curve and loss power change curve of the energy storage unit are constructed respectively; based on the energy storage power change curve and loss power change curve of each energy storage unit, the effective energy storage characteristics corresponding to each time window are extracted by dividing the time window; based on the effective energy storage characteristic sequence corresponding to all time windows of each energy storage unit within its evaluation period, the optimal energy storage power range of the energy storage unit is determined; according to the total power constraint of the energy storage system and the activation status of each energy storage unit, the coordinated power allocation of each activated energy storage unit is performed based on the optimal energy storage power range of each energy storage unit. It can solve the problems in related technologies that rely solely on static parameters for power allocation, fail to fully consider the loss differences of energy storage units under real-time operating conditions, cannot identify the optimal operating range of units, and lack a system-level collaborative allocation mechanism based on unit characteristics. It can improve the precision and rationality of power allocation in energy storage systems, avoid some units from operating in high-loss or overload states for a long time, and improve the overall energy utilization efficiency and operational coordination of the system.

[0046] As a specific implementation of this application, based on the basic scheme, the acquisition of power data and loss power data associated with each energy storage unit in the energy storage system under different operating power within a preset evaluation period is further defined, including: During the evaluation period, the operating power of the energy storage unit is monotonically increased from zero power to its rated energy storage power, and the power loss corresponding to different power points is collected in real time during the loading process. The operating power is loaded from zero power to its rated energy storage power in a linear increasing manner.

[0047] Specifically, for each energy storage unit to be evaluated, during the evaluation period... The start time The operating power of the energy storage unit is initialized to zero to ensure that the unit is in an unloaded initial state, eliminating the influence of previous operating states on this characteristic identification. Subsequently, the operating power of the energy storage unit is adjusted according to a constant power change rate, calculated by dividing the rated energy storage power of the unit by the evaluation period duration, ensuring that the power change is constant at the end of the evaluation period. The operating power exactly reaches the rated energy storage power of the energy storage unit, achieving a complete linear coverage of the operating power from no-load to full-load.

[0048] Throughout the linear loading process, the actual energy storage power and loss power values ​​at each moment are synchronously collected at a fixed sampling frequency. The sampling frequency can be set according to the power response characteristics and loss characteristic identification accuracy requirements of the energy storage unit, ensuring that sufficiently dense sampling points can be obtained during continuous power changes, fully covering all power ranges from no-load to full-load. The acquisition of loss power is strictly synchronized with the acquisition of energy storage power, with power data and loss data corresponding one-to-one at the same moment, avoiding distortion of the power-loss correspondence due to time deviation.

[0049] By employing a monotonically linearly increasing power loading method, the operating power of the energy storage unit can be guaranteed to continuously and without abrupt changes across the entire rated power range within the evaluation period, avoiding data loss or characteristic distortion in local power ranges that may be caused by stepped or nonlinear loading. Simultaneously, the constant power change rate during linear loading effectively eliminates the impact of differences in power change rates on loss characteristic measurements, ensuring consistent comparability of loss data at different power points.

[0050] This implementation method, through a standardized linear incremental power loading mode, can systematically and accurately acquire dynamic loss characteristic data of energy storage units across the entire power range. This effectively improves the accuracy and consistency of loss characteristic identification, avoids the identification deviation of the optimal operating range caused by unreasonable loading methods, and provides reliable basic data support for the subsequent accurate construction of power-loss characteristic curves and the implementation of coordinated power allocation.

[0051] As a specific implementation of this application, based on the basic scheme, the energy storage power variation curve and the loss power variation curve based on each energy storage unit are further defined, and the effective energy storage characteristics corresponding to each time window are extracted by dividing the time window, including: The energy storage power change curve and the loss power change curve are mapped to the same time coordinate system, and synchronous division is performed along the time axis using a preset time window; Calculate the area of ​​the closed region enclosed by the energy storage power change curve, the loss power change curve, and the start and end boundaries of the time window within each time window, and use this area value as the effective energy storage characteristic corresponding to the time window.

[0052] Specifically, the energy storage power variation curve and the loss power variation curve are mapped to the same time coordinate system, so that the two curves share completely consistent horizontal axis time scale and vertical axis power scale. The horizontal axis scale range covers the start time of the evaluation period. Until the end time The vertical axis scale covers the range from zero power to rated energy storage power of the energy storage unit, ensuring that every data point of the two curves corresponds accurately in the time and power dimensions, eliminating characteristic matching errors caused by differences in coordinate systems.

[0053] Extract the preset time window duration Continuous synchronous division is performed along the time axis of a unified coordinate system. The first time window starts at the beginning of the time window, with the duration added. Obtain the end time of the first time window; then use this end time as the start time of the next time window, repeating the above operation until the entire evaluation period is covered, ultimately forming a time window sequence arranged in chronological order. , ... Each time window corresponds simultaneously to a continuous interval on the energy storage power variation curve. and a continuous interval on the power loss variation curve This enables the synchronous segmentation of the two curves in the time dimension.

[0054] For any time window Draw two straight lines perpendicular to the time axis, one at its start time and the other at its end time. These two lines intersect... , Together they form a closed region. If the energy storage power change curve and the loss power change curve intersect within this time window, multiple independent closed regions will be formed. In this case, the sum of the areas of all closed regions needs to be calculated, and this total area value is taken as the effective energy storage characteristic corresponding to this time window. The effective energy storage characteristic value directly reflects the net power output capability of the energy storage unit within that power range. The larger the value, the higher the matching degree between the power output and loss level of the energy storage unit within that range, and the better the operating efficiency.

[0055] This implementation method achieves refined segmented analysis of the power-loss dynamic characteristics of energy storage units by dividing the synchronous time window under a unified coordinate system. At the same time, it uses the area of ​​the closed region as a quantitative feature to transform the dynamic curve characteristics that are difficult to compare directly into numerical indicators that can be accurately calculated. This effectively improves the objectivity and accuracy of effective energy storage feature extraction and provides a reliable quantitative basis for subsequent accurate identification of the optimal operating range of energy storage units.

[0056] As a specific implementation of this application, based on the basic scheme, the area of ​​the closed region enclosed by the energy storage power change curve, the loss power change curve, and the start and end boundaries of the time window within each calculated time window is further defined, and this area value is used as the effective energy storage characteristic corresponding to the time window, including: For each time window, two straight lines perpendicular to the time axis are drawn with the start and end times of the time window respectively. The curve segments of the energy storage power change curve, the curve segments of the loss power change curve, and the total area of ​​one or more closed regions enclosed by the two straight lines within the time window are calculated.

[0057] Specifically, for any time window in the time window sequence First, determine its corresponding start and end times. Using this start time as the x-axis point, draw a straight line perpendicular to the time axis and parallel to the y-axis, denoted as [the line is missing in the original text]. Using this end time as the x-axis point, draw another straight line perpendicular to the time axis and parallel to the y-axis, denoted as . The two straight lines intersect the energy storage power change curve within that time window. The power loss variation curve segment within this time window They intersect and form a closed geometric boundary.

[0058] If the energy storage power change curve and the loss power change curve do not intersect within this time window, then , , and Together, they form a single closed region. If the two curves intersect at one or more points within the time window, they will divide the original single region into multiple independent closed regions. In this case, it is necessary to identify all the closed regions enclosed by the above four boundaries one by one, without omitting any independent region.

[0059] The area of ​​all enclosed regions is calculated using numerical integration methods. For curve segments formed by fitting discrete sampling points, the trapezoidal integral method or Simpson's integral method can be used for area calculation. After calculating the area of ​​each enclosed region separately, all area values ​​are summed to obtain the total area of ​​all enclosed regions within the time window. This total area value is used as the effective energy storage characteristic corresponding to that time window. .

[0060] This implementation method comprehensively and accurately reflects the cumulative net power output of energy storage units within a given power range by calculating the total area of ​​all enclosed regions within the entire calculation time window. This avoids feature calculation errors caused by the omission of local areas due to curve intersections. The calculation method has clear logic, low engineering implementation difficulty, and its calculation accuracy can be flexibly controlled by adjusting the sampling frequency and integration step size. It can provide precise quantitative data support for subsequent ranking of effective energy storage characteristics and identification of optimal power ranges.

[0061] As a specific implementation of this application, based on the basic scheme, the determination of the optimal energy storage power range of each energy storage unit based on the effective energy storage characteristic sequence corresponding to all time windows within its evaluation period includes: Select the effective energy storage feature with the largest value from the effective energy storage feature sequence, and determine the time window corresponding to the effective energy storage feature; Extract the minimum and maximum power values ​​from the energy storage power change curve interval within the time window, and use the interval formed by the minimum and maximum power values ​​as the optimal energy storage power interval for the energy storage unit.

[0062] Specifically, all effective energy storage characteristics generated by each energy storage unit within the evaluation period are arranged chronologically according to the time window, forming an effective energy storage characteristic sequence. This sequence fully records the power output and loss matching characteristics of the energy storage unit across different power ranges throughout the entire power loading process, from no-load to full-load. The effective energy storage characteristic with the largest value is selected from this sequence and denoted as... The higher the value of the effective energy storage characteristic, the higher the power output per unit loss of the energy storage unit within the power range corresponding to that time window, indicating optimal operating efficiency.

[0063] Sure Extract the corresponding energy storage power change curve range within the given time window. This curve range fully covers the power range where energy storage units operate with the highest efficiency. The power values ​​corresponding to the start and end points of the curve segment are read respectively, where the power value corresponding to the start point is the minimum energy storage power of that interval. The power value corresponding to the endpoint is the maximum energy storage power of that interval. .Will and By combining them, the energy storage unit is obtained. Corresponding optimal energy storage power range ,Right now: .

[0064] Repeat the above process to process all available energy storage units in the energy storage system in turn, obtain the optimal energy storage power range corresponding to each energy storage unit, and organize them according to the initial arrangement order of the energy storage units to form a sequence of optimal energy storage power ranges.

[0065] This implementation method directly locates the optimal operating range by quantifying the effective energy storage characteristics, avoiding the subjectivity and randomness of traditional methods that divide ranges based on experience or static parameters. It can accurately identify the highest efficiency range of each energy storage unit in actual operation. The method has simple calculation logic, low engineering implementation difficulty, and the identification results have good consistency and repeatability, providing a core quantitative basis for subsequent collaborative power allocation based on unit characteristics.

[0066] As a specific implementation of this application, based on the basic scheme, the method of collaboratively allocating power to each activated energy storage unit according to the total power constraint of the energy storage system and the activation status of each energy storage unit, based on the optimal energy storage power range of each energy storage unit, includes: Identify all enabled energy storage units and sum the maximum energy storage power within the optimal energy storage power range for each enabled energy storage unit to obtain the total load energy storage power. Compare the total load energy storage power with the total energy storage power of the energy storage system: If the total load energy storage power is less than or equal to the total energy storage power and the preset power redundancy condition is met, then the maximum energy storage power of each activated energy storage unit shall be used as the actual allocated power. If the conditions are not met, the maximum energy storage power of each activated energy storage unit will be reduced synchronously according to the preset reduction ratio, but the reduced power value will not be lower than the minimum energy storage power in its respective optimal energy storage power range, and a new judgment and allocation will be made.

[0067] Specifically, obtain the total energy storage power of the energy storage system. The total energy storage power is the maximum available power that the energy storage system can currently stably output. The energy storage units that need to be activated are determined; their activation status can be determined comprehensively based on factors such as system operation requirements, the health status of each energy storage unit, and historical operational degradation records. The maximum energy storage power within the optimal energy storage power range of each activated energy storage unit is extracted. This maximum energy storage power is the upper limit of the maximum power that the corresponding energy storage unit can continuously and stably output within its efficient operating range. The maximum energy storage power of all activated energy storage units is summed to obtain the total load energy storage power. This total load energy storage power represents the total power requirement required when all activated energy storage units are simultaneously operating at the upper limit of their respective optimal operating ranges.

[0068] Combine the total load energy storage power with the total energy storage power of the energy storage system The system compares the total energy storage power with the total load energy storage power, calculates the difference between the total energy storage power and the total load energy storage power to obtain the remaining energy storage power, and compares the remaining energy storage power with the preset energy storage power redundancy. The energy storage power redundancy is used to reserve the system's ability to cope with sudden power fluctuations, temporary unit failures, or load changes, ensuring the stability and reliability of system operation.

[0069] If the total load energy storage power is less than or equal to the total energy storage power If the remaining energy storage power is greater than or equal to the preset energy storage power redundancy, it indicates that the system has sufficient power margin to support all activated energy storage units operating simultaneously at their maximum power within their respective optimal operating ranges. In this case, the maximum energy storage power of each activated energy storage unit is directly used as the actual allocated power, ensuring that each energy storage unit operates at the upper limit of its most efficient power range, maximizing the high-efficiency operating characteristics of each unit.

[0070] If the total load energy storage capacity is greater than the total energy storage capacity If the remaining energy storage power is less than the preset energy storage power redundancy, it indicates that the system power margin is insufficient and cannot support all activated units operating simultaneously at their maximum power within their optimal range. In this case, the maximum energy storage power of all activated energy storage units is simultaneously reduced according to the operator's preset reduction ratio a%. During the reduction process, the power value of each energy storage unit is strictly controlled to ensure that the reduced power is not lower than the minimum energy storage power in its respective optimal energy storage power range, ensuring that all units still operate within their high-efficiency operating range. After the reduction is completed, the total load energy storage power is recalculated and compared with the total energy storage power. The energy storage power redundancy is compared with the above judgment and adjustment process until the power allocation conditions are met.

[0071] This implementation method constructs a collaborative allocation logic based on the optimal operating range of each energy storage unit. Under the premise of meeting the total power constraint and power redundancy requirements of the system, it prioritizes ensuring that all activated energy storage units operate within the high-efficiency range, effectively avoiding some units from being in a high-loss state for a long time. The synchronous adjustment method can balance the load of each unit, prevent individual units from being overloaded, and maintain the overall high operating efficiency of the system, thereby improving the energy utilization rate and operational stability of the energy storage system.

[0072] As a specific implementation of this application, based on the basic scheme, the method of coordinating power allocation among the activated energy storage units according to the total power constraint of the energy storage system and the activation status of each energy storage unit, based on the optimal energy storage power range of each energy storage unit, further includes: If, after adjusting according to the preset reduction ratio, it is still impossible to allocate the actual power that meets the conditions to each activated energy storage unit, an early warning signal will be generated and a prompt will be issued asking whether manual adjustment should be performed. If no manual control command is received or no response is received within the specified time, the power of each currently activated energy storage unit will be further reduced according to the aforementioned reduction ratio, breaking through the lower limit of the minimum energy storage power, and this step will be iteratively executed until the actual power allocation of all activated energy storage units is completed.

[0073] Specifically, after the power of all activated energy storage units has been synchronously reduced to the minimum energy storage power within their respective optimal energy storage power range according to a preset reduction ratio a%, the total load energy storage power is recalculated. If the total load energy storage power is still greater than the total energy storage power of the energy storage system at this time... If the remaining energy storage power is still less than the preset energy storage power redundancy, it means that even if all activated units are operating at the lower limit of the optimal operating range, the system still cannot meet the power constraint conditions, triggering the abnormal handling process.

[0074] The system generates a warning signal via an audible and visual alarm device, and simultaneously displays a prompt message on the control interface, clearly informing operators of the current insufficient system power margin and issuing a confirmation prompt asking whether manual adjustment is required. The warning signal continues to be issued until the operator responds or the power allocation process is completed, ensuring that operators are promptly informed of any system abnormalities.

[0075] If the operator chooses to perform manual control, the system will automatically pause the automatic power distribution process and switch to manual control mode. The site operator will then manually set the actual operating power of each activated energy storage unit based on the real-time operating conditions of the system, the health status of each energy storage unit, load priority, and other actual conditions to complete the power distribution operation.

[0076] If the operator does not select manual control, or fails to perform any operation within the preset response time, the system automatically enters the forced derating mode. Based on the current minimum energy storage power of each activated energy storage unit, the operating power of all activated units is simultaneously reduced according to a preset reduction ratio 'a%'. This reduction is no longer subject to the minimum power limit of the optimal energy storage power range. After each reduction, the system recalculates the total load energy storage power and compares it with the total energy storage power. The power redundancy of the energy storage unit is compared with the total power of the energy storage unit. If the allocation conditions are still not met, the above adjustment and judgment process is repeated iteratively until the total load energy storage power meets the system's total power constraint and power redundancy requirements, thus completing the actual power allocation of all activated energy storage units. After the allocation is completed, the system automatically generates an actual power allocation report, recording key information such as the allocated power of each unit, the number of adjustments, and whether the lower limit of the optimal range has been exceeded, for operators to review and for subsequent analysis.

[0077] This implementation method constructs a multi-level anomaly handling mechanism that combines early warning prompts, manual intervention, and forced derating. Even in extreme cases of severe system power shortage, it ensures the smooth completion of the power allocation process, preventing system interruptions due to power allocation failures. Simultaneously, it prioritizes providing a manual intervention entry point, accommodating flexibility in practical engineering applications, while the iterative forced derating method ensures the system's robustness in unattended operation, effectively improving the reliability and adaptability of the energy storage system under complex operating conditions.

[0078] Figure 2 This is a schematic diagram of the structure of a collaborative power distribution device for an energy storage system provided in an embodiment of this application, as shown below. Figure 2 As shown, it includes: acquisition module 201, construction module 202, extraction module 203, determination module 204, and allocation module 205.

[0079] The acquisition module 201 is configured to acquire the power data and loss power data associated with each energy storage unit in the energy storage system under different operating power within a preset evaluation period; The construction module 202 is configured to construct the energy storage power change curve and the loss power change curve of each energy storage unit based on the power data and loss power data of each energy storage unit. The extraction module 203 is configured to extract the effective energy storage features corresponding to each time window by dividing the time window based on the energy storage power change curve and the loss power change curve of each energy storage unit. The determination module 204 is configured to determine the optimal energy storage power range of each energy storage unit based on the effective energy storage characteristic sequence corresponding to all time windows within its evaluation period. The allocation module 205 is configured to perform coordinated power allocation to each activated energy storage unit based on the optimal energy storage power range of each energy storage unit, according to the total power constraint of the energy storage system and the activation status of each energy storage unit.

[0080] In some examples of this embodiment, the acquisition module 201 is specifically configured to load the operating power of the energy storage unit from zero power to its rated energy storage power monotonically and incrementally during the evaluation period, and to collect the power loss corresponding to different power points in real time during the loading process. The operating power is loaded from zero power to its rated energy storage power in a linear increment.

[0081] In some examples of this embodiment, the extraction module 203 is specifically configured to map the energy storage power change curve and the loss power change curve to the same time coordinate system, and synchronously divide the time window along the time axis using a preset time window; calculate the area of ​​the closed region enclosed by the energy storage power change curve, the loss power change curve, and the start and end boundaries of the time window within each time window, and use the area value as the effective energy storage feature corresponding to the time window.

[0082] In some examples of this embodiment, the extraction module 203 is specifically configured to, for each time window, draw two straight lines perpendicular to the time axis with the start and end times of the time window respectively, calculate the curve segment of the energy storage power change curve within the time window, the curve segment of the loss power change curve within the time window, and the total area of ​​one or more closed regions enclosed by the two straight lines.

[0083] In some examples of this embodiment, the determining module 204 is specifically configured to select the effective energy storage feature with the largest value from the effective energy storage feature sequence, determine the time window corresponding to the effective energy storage feature, extract the minimum power value and the maximum power value on the interval of the energy storage power change curve within the time window, and take the interval formed by the minimum power value and the maximum power value as the optimal energy storage power interval of the energy storage unit.

[0084] In some examples of this embodiment, the allocation module 205 is specifically configured to determine all enabled energy storage units and summarize the maximum energy storage power in the optimal energy storage power range of each enabled energy storage unit to obtain the total load energy storage power; compare the total load energy storage power with the total energy storage power of the energy storage system: if the total load energy storage power is less than or equal to the total energy storage power and meets the preset power redundancy condition, then the maximum energy storage power of each enabled energy storage unit is used as the actual allocated power; if not, then the maximum energy storage power of each enabled energy storage unit is synchronously reduced according to the preset reduction ratio, but the reduced power value is not lower than the minimum energy storage power in its respective optimal energy storage power range, and the judgment and allocation are re-performed.

[0085] In some examples of this embodiment, the allocation module 205 is specifically configured to generate an early warning signal and issue a prompt asking whether to perform manual adjustment if, after adjusting according to a preset reduction ratio, it is still impossible to allocate the actual power that meets the conditions to each enabled energy storage unit; if no manual adjustment instruction is received or no response is received within a specified time, the allocation module continues to reduce the power according to the reduction ratio based on the minimum energy storage power of each enabled energy storage unit, breaking through the lower limit of the minimum energy storage power, and iteratively executing this step until the actual power allocation of all enabled energy storage units is completed.

[0086] It should be noted that other corresponding descriptions of the functional units involved in the energy storage system collaborative power distribution device provided in this embodiment can be found in [reference]. Figure 1 The corresponding descriptions in [the document] will not be repeated here.

[0087] Based on the above, Figure 1The embodiment illustrates a collaborative power allocation method for an energy storage system. Correspondingly, this embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method. Figure 1 This illustrates a collaborative power allocation method for an energy storage system.

[0088] Based on the above, Figure 1 The embodiment illustrates a collaborative power allocation method for an energy storage system. Correspondingly, this embodiment also provides a computer program product storing a computer program that, when executed by a processor, implements the aforementioned method. Figure 1 This illustrates a collaborative power allocation method for an energy storage system.

[0089] Based on this understanding, the technical solution of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as CD-ROM, USB flash drive, mobile hard drive, etc.) and includes several instructions to cause a computer device (such as personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of this application.

[0090] Based on the above, Figure 1 A method for coordinated power allocation in an energy storage system is shown, and Figure 2 To achieve the above objectives, the present application also provides an electronic device, such as a personal computer or a server, in the illustrated virtual device embodiment. This device includes a storage medium and a processor; the storage medium stores a computer program; the processor executes the computer program to implement the above-described virtual device. Figure 1 This illustrates a collaborative power allocation method for an energy storage system.

[0091] In some embodiments, the aforementioned physical device may further include a user interface, a network interface, a camera, radio frequency (RF) circuitry, sensors, audio circuitry, a Wi-Fi module, etc. The user interface may include a display screen, an input unit such as a keyboard, etc., and optionally, a USB interface, a card reader interface, etc. In some embodiments, the network interface may include a standard wired interface, a wireless interface (such as a Wi-Fi interface), etc.

[0092] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the aforementioned physical device, supporting the operation of information processing programs and other software and / or programs. The network communication module is used to enable communication between the various components within the storage medium, as well as communication with other hardware and software in the information processing physical device.

[0093] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0094] The above are merely specific embodiments of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to these embodiments, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for coordinated power allocation in an energy storage system, characterized in that, include: Acquire the power data and loss power data associated with each energy storage unit in the energy storage system under different operating power within a preset evaluation period; Based on the power data and loss power data of each energy storage unit, the energy storage power change curve and loss power change curve of the energy storage unit are constructed respectively. Based on the energy storage power change curve and the loss power change curve of each energy storage unit, the effective energy storage characteristics corresponding to each time window are extracted by dividing the time window. Based on the effective energy storage characteristic sequence of each energy storage unit in all time windows within its evaluation period, the optimal energy storage power range of the energy storage unit is determined. Based on the total power constraint of the energy storage system and the activation status of each energy storage unit, the activated energy storage units are coordinated for power allocation according to the optimal energy storage power range of each energy storage unit.

2. The energy storage system collaborative power allocation method according to claim 1, characterized in that, The acquisition of power data and loss power data associated with each energy storage unit in the energy storage system under different operating power within a preset evaluation period includes: During the evaluation period, the operating power of the energy storage unit is monotonically increased from zero power to its rated energy storage power, and the power loss corresponding to different power points is collected in real time during the loading process. The operating power is loaded from zero power to its rated energy storage power in a linear increasing manner.

3. The energy storage system collaborative power allocation method according to claim 1, characterized in that, The energy storage power variation curve and the loss power variation curve based on each energy storage unit are used to extract the effective energy storage characteristics corresponding to each time window by dividing the time window, including: The energy storage power change curve and the loss power change curve are mapped to the same time coordinate system, and synchronous division is performed along the time axis using a preset time window; Calculate the area of ​​the closed region enclosed by the energy storage power change curve, the loss power change curve, and the start and end boundaries of the time window within each time window, and use this area value as the effective energy storage characteristic corresponding to the time window.

4. The energy storage system collaborative power allocation method according to claim 3, characterized in that, The calculation of the area enclosed by the energy storage power change curve, the loss power change curve, and the start and end boundaries of the time window within each time window, and using this area value as the effective energy storage characteristic corresponding to that time window, includes: For each time window, two straight lines perpendicular to the time axis are drawn with the start and end times of the time window respectively. The curve segments of the energy storage power change curve, the curve segments of the loss power change curve, and the total area of ​​one or more closed regions enclosed by the two straight lines within the time window are calculated.

5. The energy storage system collaborative power allocation method according to claim 1, characterized in that, The step of determining the optimal energy storage power range for each energy storage unit based on the effective energy storage characteristic sequence corresponding to all time windows within its evaluation period includes: Select the effective energy storage feature with the largest value from the effective energy storage feature sequence, and determine the time window corresponding to the effective energy storage feature; Extract the minimum and maximum power values ​​from the energy storage power change curve interval within the time window, and use the interval formed by the minimum and maximum power values ​​as the optimal energy storage power interval for the energy storage unit.

6. The energy storage system collaborative power allocation method according to claim 1, characterized in that, The step of coordinating power allocation among activated energy storage units based on the total power constraint of the energy storage system and the activation status of each energy storage unit, and according to the optimal energy storage power range of each energy storage unit, includes: Identify all enabled energy storage units and sum the maximum energy storage power within the optimal energy storage power range for each enabled energy storage unit to obtain the total load energy storage power. Compare the total load energy storage power with the total energy storage power of the energy storage system: If the total load energy storage power is less than or equal to the total energy storage power and the preset power redundancy condition is met, then the maximum energy storage power of each activated energy storage unit shall be used as the actual allocated power. If the conditions are not met, the maximum energy storage power of each activated energy storage unit will be reduced synchronously according to the preset reduction ratio, but the reduced power value will not be lower than the minimum energy storage power in its respective optimal energy storage power range, and a new judgment and allocation will be made.

7. The energy storage system collaborative power allocation method according to claim 6, characterized in that, The method of coordinating power allocation among activated energy storage units based on the total power constraint of the energy storage system and the activation status of each energy storage unit, and based on the optimal energy storage power range of each energy storage unit, further includes: If, after adjusting according to the preset reduction ratio, it is still impossible to allocate the actual power that meets the conditions to each activated energy storage unit, an early warning signal will be generated and a prompt will be issued asking whether manual adjustment should be performed. If no manual control command is received or no response is received within the specified time, the power of each currently activated energy storage unit will be further reduced according to the aforementioned reduction ratio, breaking through the lower limit of the minimum energy storage power, and this step will be iteratively executed until the actual power allocation of all activated energy storage units is completed.

8. A collaborative power distribution device for an energy storage system, characterized in that, include: The acquisition module is configured to acquire the power data and loss power data associated with each energy storage unit in the energy storage system under different operating power within a preset evaluation period; The construction module is configured to construct the energy storage power change curve and the loss power change curve of each energy storage unit based on the power data and loss power data of each energy storage unit. The extraction module is configured to extract the effective energy storage characteristics corresponding to each time window based on the energy storage power change curve and the loss power change curve of each energy storage unit by dividing the time window. The determination module is configured to determine the optimal energy storage power range of each energy storage unit based on the effective energy storage characteristic sequence corresponding to all time windows within its evaluation period. The allocation module is configured to perform coordinated power allocation to each activated energy storage unit based on the optimal energy storage power range of each energy storage unit, according to the total power constraint of the energy storage system and the activation status of each energy storage unit.

9. An electronic device, characterized in that, include: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the energy storage system cooperative power distribution method according to any one of claims 1-7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to execute the energy storage system collaborative power allocation method according to any one of claims 1-7.

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