A distributed energy storage device energy collaborative management method and system

Abstract

The present application relates to the technical field of distributed energy storage, and specifically relates to a distributed energy storage equipment energy collaborative management method and system, comprising the following steps: obtaining the anti-interference degree of each distributed energy storage equipment in a scene change period; classifying the distributed energy storage equipment according to the anti-interference degree to obtain high anti-interference energy storage equipment and low anti-interference energy storage equipment; obtaining the energy storage plan time of the energy storage equipment and the temperature data of the scene in the plan time; generating an energy management strategy of the distributed energy storage equipment in the plan time; the energy management strategy comprises a capacity insufficient strategy; when the required storage capacity of the electric energy increases, the energy storage equipment with good anti-interference performance cannot meet the requirement, the present application can reasonably avoid the influence of the scene environment and ensure the uninterrupted consistency of the energy storage charging to complete the energy storage equipment charging work, and the present application can effectively manage the energy storage equipment.

Description

Technical Field

[0001] This invention relates to the field of distributed energy storage technology, and specifically to a method and system for energy collaborative management of distributed energy storage devices. Background Technology

[0002] Distributed energy storage refers to energy storage systems that are distributed across a specific area, typically consisting of multiple energy storage units. These devices can store and manage electrical energy relatively close to the user, thereby achieving local energy self-sufficiency. Compared to traditional centralized energy storage, distributed energy storage offers greater deployment flexibility and enables efficient utilization of renewable energy sources such as solar and wind power. Through interconnection with the power grid, distributed energy storage devices can not only provide reliable power support to users but also provide regulation capabilities during periods of high grid load, helping to reduce the burden on the grid.

[0003] Current energy collaborative management technologies mostly allocate charging and discharging tasks based on equipment capacity or priority rules, ignoring the differences in anti-interference performance between devices. Under environmental disturbances, if devices with weak anti-interference capabilities continue to operate at high loads, their performance may deteriorate rapidly or even lead to thermal runaway, and existing strategies cannot dynamically avoid such risks. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for energy collaborative management of distributed energy storage devices. When faced with an increase in the required storage capacity of electrical energy, and when energy storage devices with good anti-interference performance cannot meet the requirements, this collaborative management can reasonably avoid the influence of the scene environment and ensure that the charging of energy storage devices is completed uninterruptedly and consistently. It can effectively manage its energy storage devices.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A method for energy collaborative management of distributed energy storage devices includes the following steps:

[0007] To obtain the anti-interference level of each distributed energy storage device during periods of scene change;

[0008] Distributed energy storage devices are classified according to their anti-interference level, resulting in high anti-interference energy storage devices and low anti-interference energy storage devices.

[0009] Acquire the energy storage plan time of the energy storage device, as well as the temperature data of the scenario during the plan time; generate the energy management strategy for the distributed energy storage device during the plan time.

[0010] Energy management strategies include capacity shortage strategies;

[0011] The generation process of the insufficient capacity strategy is as follows:

[0012] If the energy capacity to be stored exceeds the energy storage capacity of all high interference-resistant energy storage devices, the high interference-resistant energy storage devices will be identified as a fixed energy storage device group.

[0013] Based on the change time corresponding to the change stage and the energy storage capacity of high interference-resistant energy storage equipment, low interference-resistant energy storage equipment that meets the energy requirements is selected as a supplementary group of energy storage equipment.

[0014] As a further aspect of the present invention: the process for determining the time period of scene change is as follows:

[0015] Obtain the temperature time series of the scenario where the energy storage device is located within a certain low temperature period, and calculate the absolute value of the temperature change;

[0016] If the absolute value of the temperature change is greater than or equal to the standard absolute value of the temperature change, the time period of the scene is defined as the scene change period.

[0017] As a further aspect of the present invention: the process for obtaining the anti-interference level of each distributed energy storage device is as follows:

[0018] The charging efficiency and temperature of all distributed energy storage devices were obtained during the period of scene change, and the charging efficiency curve and temperature curve were fitted respectively.

[0019] The charging efficiency curve and temperature curve are divided into several equal sub-curves of charging efficiency and temperature, respectively.

[0020] The difference in the slopes of the charging efficiency sub-curve and the temperature sub-curve at the same time is calculated, and the time is defined as the interference effect time.

[0021] Calculate the percentage of time all interference affects the scene during the changing period to obtain the first interference impact ratio;

[0022] Additionally, variance processing is performed on the charging efficiency and temperature during the scene change period to obtain the charging efficiency variance and temperature variance. The difference between the charging efficiency variance and the temperature variance is calculated to obtain the second interference impact ratio.

[0023] By comprehensively analyzing the impact ratio of the first interference and the impact ratio of the second interference, the anti-interference level of the distributed energy storage device can be obtained.

[0024] As a further aspect of the present invention: if the anti-interference level of a distributed energy storage device is less than the standard anti-interference level, this distributed energy storage device is defined as a low anti-interference energy storage device.

[0025] As a further aspect of the present invention: if the anti-interference level of the distributed energy storage device is greater than or equal to the standard anti-interference level, the distributed energy storage device is defined as a high anti-interference energy storage device.

[0026] As a further aspect of the present invention: the process for determining the energy storage equipment replenishment group is as follows:

[0027] The excess energy value is obtained by calculating the amount by which the energy capacity to be stored exceeds the energy storage capacity of the high interference resistance energy storage device.

[0028] The low-impact energy storage devices are sorted from highest to lowest imperfection level to obtain a low-impact energy storage device sequence; based on the second capacity satisfaction formula, the energy storage device supplementary group is determined within the planned time.

[0029] As a further aspect of the present invention: the second capacity satisfies the formula:

[0030] ( A 1+ A 2+..+ A j )≥ A

[0031] ( A 1+ A 2+..+ A j-1 ) < A

[0032] Among them, A j Let A represent the energy storage capacity of the j-th low-interference energy storage device in the sequence of low-interference energy storage devices; A is the electrical energy capacity to be stored.

[0033] As a further aspect of the present invention: based on the energy storage capacity and charging rate of each device in the energy storage equipment supplement group, calculate the charging time sequence group in the energy storage equipment supplement group, and extract the longest charging time of the supplement group;

[0034] The longest charging time of the supplementary group and the period of scenario change are summed to obtain the shortest planned charging time for the supplementary group.

[0035] Based on the energy storage capacity and charging rate of each device in the fixed energy storage equipment group, calculate the charging time series group in the fixed energy storage equipment group and extract the longest charging time of the fixed group.

[0036] The longest charging time of the fixed group and the period of scene change are summed to obtain the shortest planned charging time of the fixed group.

[0037] The shortest planned charging time for the replenishment group is compared with the shortest planned charging time for the fixed group, and the maximum value is taken as the time for the energy storage device to complete the energy storage charging.

[0038] As a further aspect of the present invention: based on the planned completion time of energy storage charging of the energy storage device, the charging rate of each device is obtained by processing the ratio between the energy storage capacity of each device in the fixed group and the supplementary group of the energy storage device and the planned completion time of energy storage charging.

[0039] A distributed energy storage device energy collaborative management system, the system comprising:

[0040] Analysis module: Obtains the anti-interference level of each distributed energy storage device during periods of scene change;

[0041] Classification module: Distributed energy storage devices are classified according to their anti-interference level, resulting in high anti-interference energy storage devices and low anti-interference energy storage devices;

[0042] Management module: Obtains the energy storage plan time of the energy storage device, as well as the temperature data of the scenario during the plan time; generates the energy management strategy for the distributed energy storage device during the plan time.

[0043] Energy management strategies include capacity shortage strategies;

[0044] The generation process of the insufficient capacity strategy is as follows:

[0045] If the energy capacity to be stored exceeds the energy storage capacity of all high interference-resistant energy storage devices, the high interference-resistant energy storage devices will be identified as a fixed energy storage device group.

[0046] Based on the change time corresponding to the change stage and the energy storage capacity of high interference-resistant energy storage equipment, low interference-resistant energy storage equipment that meets the energy requirements is selected as a supplementary group of energy storage equipment.

[0047] The beneficial effects of this invention are:

[0048] This invention analyzes the interference performance of each distributed energy storage device by assessing its anti-interference level. It can analyze the energy storage performance of the devices at different stages, especially in scenarios with significant environmental changes. This interference performance analysis can more accurately identify the performance of each distributed energy storage device, enabling performance-based classification of energy storage devices for easier management. Specifically, it allows for timely replacement of energy storage devices when interference performance decreases. Furthermore, it facilitates collaborative energy management by leveraging the differences between energy storage devices.

[0049] Based on the planned operation time of the energy storage devices, the system acquires the temperature data of the scenario within the planned time. It then generates an energy management strategy for the distributed energy storage devices within the planned time. This strategy leverages the differences in the anti-interference performance of the energy storage devices and the degree of scenario variation to collaboratively manage the energy of the distributed energy storage devices. The purpose of this collaborative management is to prevent energy storage devices with poor anti-interference capabilities from operating under scenario influences, effectively reducing external interference during energy storage and ensuring energy storage efficiency. It also effectively ensures that the best energy storage method is obtained, storing energy in devices with optimal performance. Notably, when facing increased energy storage capacity requirements where energy storage devices with good anti-interference performance cannot meet the demands, this collaborative management can reasonably avoid the influence of the scenario environment and ensure uninterrupted and consistent charging of the energy storage devices, effectively managing the energy storage devices. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a flowchart of an energy collaborative management method for distributed energy storage devices provided in Embodiment 1 of the present invention;

[0052] Figure 2 This is a system block diagram of a distributed energy storage device energy collaborative management system provided in Embodiment 2 of the present invention. Detailed Implementation

[0053] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention. Example 1

[0054] like Figure 1 As shown in the embodiment of the present invention, a distributed energy storage device energy collaborative management method includes the following steps:

[0055] Step 1: Obtain the anti-interference level of each distributed energy storage device during periods of scene change;

[0056] In step 1, the scene change period is a time period in which the environment of the corresponding scene undergoes a significant trend change;

[0057] Specifically, the process for determining the time period of scene change is as follows:

[0058] Obtain the temperature time series of the scenario where the energy storage device is located within a certain low-temperature period, and calculate the absolute value of temperature change; where the low-temperature period refers to the time when the ambient temperature of the energy storage device is below 0℃; the absolute value of temperature change is the sum of the absolute values ​​of the temperature slope of each time series;

[0059] Compare the absolute value of temperature change with the standard absolute value of temperature change;

[0060] If the absolute value of temperature change is greater than or equal to the standard absolute value of temperature change, it indicates that the temperature fluctuation of the scene is relatively high during that time period, and the time period of the scene is defined as the scene change period.

[0061] If the absolute value of temperature change is less than the standard absolute value of temperature change, it means that the temperature fluctuation of the scene is low during that time period, and the time period of the scene is defined as a non-scene change period.

[0062] Secondly, specifically, the process for obtaining the interference resistance level of each distributed energy storage device is as follows:

[0063] The following analysis is performed on each distributed energy storage device:

[0064] The charging efficiency and temperature of all distributed energy storage devices are obtained during the period of scene change, and the charging efficiency curve and temperature curve are fitted respectively. The formula for calculating the charging efficiency of the energy storage device is: Charging efficiency = (system rated capacity × depth of charge and discharge) ÷ initial charging amount on the AC side.

[0065] The charging efficiency curve and temperature curve are divided into several equal sub-curves of charging efficiency and temperature, respectively.

[0066] By using the curve slope formula, the difference between the slopes of the charging efficiency sub-curve and the temperature sub-curve at the same time is calculated. If the difference is low, it indicates that there is a mutual interference relationship between temperature and charging efficiency at that time, and the time of this interference is defined as the interference time.

[0067] The total duration of all interference effects is recorded, and the total duration of interference effects during the scene change period is calculated. The first interference effect ratio is obtained by calculating the ratio of the total duration of interference effects to the duration of scene change.

[0068] Additionally, the variance of charging efficiency during the scene change period is processed to obtain the charging efficiency variance, and the variance of temperature during the scene change period is processed to obtain the temperature variance. The difference between the charging efficiency variance and the temperature variance is calculated to obtain the second interference effect ratio.

[0069] By comprehensively analyzing the impact ratio of the first interference and the impact ratio of the second interference, the anti-interference level of the distributed energy storage device can be obtained.

[0070] For example, interference affects the time definition process:

[0071] Using the curve slope formula, the slope of the charging efficiency sub-curve and the slope of the temperature sub-curve at the same time are calculated respectively. The absolute difference between the slope of the charging efficiency sub-curve and the slope of the temperature sub-curve is calculated to obtain the slope difference at the same time.

[0072] Compare the slope difference with the standard slope difference. If the slope difference is greater than or equal to the standard slope difference, it means that there is a large difference between the temperature change and the charging efficiency change during charging at this time. That is, the temperature has little impact on the energy storage device. This time is defined as the non-interference time.

[0073] If the slope difference is less than the standard slope difference, it means that at this time, there is a small difference between the temperature change and the charging efficiency change during charging. That is, the temperature has a greater impact on the energy storage device, and this time is defined as the interference effect time.

[0074] Furthermore, the comprehensive analysis method for the first interference impact ratio and the second interference impact ratio is as follows: the weighting factors of the first interference impact ratio and the second interference impact ratio are calculated using the entropy weight method, and the first interference impact ratio and the second interference impact ratio are respectively weighted with the corresponding weighting factors to obtain the anti-interference degree of the distributed energy storage device.

[0075] For example, the specific process of calculating the weighting factors of the first interference influence ratio and the second interference influence ratio using the entropy weight method is as follows:

[0076] A dataset of historical first and second interference impact ratios was established based on the historical first and second interference impact ratios of energy storage devices.

[0077] The datasets for the historical first and second interference impact ratios were standardized separately, and their weights were calculated. Then, the entropy value was calculated based on the weights, and the difference coefficient was obtained from the entropy value. The weighting factors for the first and second interference impact ratios were then calculated from the difference coefficients. The calculation formulas for data standardization, weights, entropy values, difference coefficients, and weights are all conventional techniques and will not be elaborated here.

[0078] Step 2: Classify distributed energy storage devices into high-interference-resistance energy storage devices and low-interference-resistance energy storage devices;

[0079] In some specific embodiments, the anti-interference level of all distributed energy storage devices is obtained, and the interference capability of the distributed energy storage devices is classified according to the anti-interference level to obtain high anti-interference energy storage devices and low anti-interference energy storage devices.

[0080] Specifically, if the interference immunity of a distributed energy storage device is less than the standard interference immunity, the distributed energy storage device is defined as a low interference immunity energy storage device.

[0081] If the anti-interference level of a distributed energy storage device is greater than or equal to the standard anti-interference level, this distributed energy storage device is defined as a high anti-interference energy storage device.

[0082] This invention analyzes the interference performance of each distributed energy storage device by assessing its anti-interference level. It can analyze the energy storage performance of the devices at different stages, especially in scenarios with significant environmental changes. This interference performance analysis can more accurately identify the performance of each distributed energy storage device, enabling performance-based classification of the devices for easier management. Specifically, it allows for timely replacement of energy storage devices when interference performance decreases. Furthermore, it facilitates collaborative energy management by leveraging the differences between the various energy storage devices.

[0083] The energy collaborative management method and system for distributed energy storage devices described in this embodiment of the invention further includes the following steps:

[0084] Step 3: Based on the planned time for energy storage equipment to operate, obtain the temperature data of the scenario during the planned time; generate the energy management strategy for the distributed energy storage equipment during the planned time.

[0085] In step 3, based on the planned time for the energy storage device to perform energy storage operations, the temperature data of the scenario during the planned time is obtained, and the temperature change value during the planned time is calculated;

[0086] Compare the planned temperature variation with the standard temperature variation value;

[0087] If the temperature change value during the planned time is greater than or equal to the standard temperature change value, it indicates that the temperature fluctuation of the scenario during the subsequent energy storage device charging time is relatively high. In this case, an energy management strategy for the distributed energy storage device during the planned time is generated. The energy management strategy includes a sufficient capacity strategy and a insufficient capacity strategy.

[0088] Specifically, the process of generating the capacity sufficiency strategy is as follows:

[0089] Compare the energy storage capacity of all high interference-resistant energy storage devices with the energy capacity of the energy to be stored; if the energy capacity of the energy to be stored does not exceed the energy storage capacity of all high interference-resistant energy storage devices;

[0090] The high-interference-resistance energy storage devices are sorted from highest to lowest interference resistance to obtain a high-interference-resistance energy storage device sequence; based on the first capacity satisfaction formula, the energy storage device group within the planned time is determined, and then the energy storage devices are charged.

[0091] The first capacity satisfies the formula:

[0092] ( w 1+ w 2+..+ w i )≥ w

[0093] ( w 1+ w 2+..+ w i-1 ) < w

[0094] Among them, W i This represents the energy storage capacity of the i-th high-interference-resistance energy storage device in the sequence of high-interference-resistance energy storage devices; W is the electrical energy capacity to be stored; the calculated (W1, W2, ..., W...) will be used to determine the energy storage capacity of the i-th high-interference-resistance energy storage device. i The high-interference-resistant energy storage equipment corresponding to the serial number is designated as the energy storage equipment group within the planned time.

[0095] For example, when W is calculated i When it is W4, the first 4 energy storage devices in the high anti-interference energy storage device sequence are regarded as the energy storage device group within the planned time and the charging work is arranged to be completed within the planned time.

[0096] The generation process of the insufficient capacity strategy is as follows:

[0097] If the energy capacity to be stored exceeds the energy storage capacity of all high interference-resistant energy storage devices, the high interference-resistant energy storage devices will be identified as a fixed energy storage device group.

[0098] Based on the change time corresponding to the change stage and the energy storage capacity of the high-interference-resistant energy storage equipment, low-interference-resistant energy storage equipment that meets the energy requirements is selected as a supplementary group of energy storage equipment.

[0099] The process for determining the energy storage equipment supplementary group is as follows:

[0100] The excess energy value is obtained by calculating the amount by which the energy capacity to be stored exceeds the energy storage capacity of the high interference resistance energy storage device.

[0101] The low-impact energy storage devices are sorted from highest to lowest imperfection level to obtain a low-impact energy storage device sequence; according to the second capacity satisfaction formula, the energy storage device replenishment group is determined within the planned time, and then the energy storage devices are charged.

[0102] The second capacity satisfies the following formula:

[0103] ( A 1+ A 2+..+ A j )≥ A

[0104] ( A 1+ A 2+..+ A j-1 ) < A

[0105] Among them, A j Let A represent the energy storage capacity of the j-th low-impact energy storage device in the sequence of low-impact energy storage devices; A is the electrical energy capacity to be stored; the calculated (A1, A2, ..., A...) will be used to determine the energy storage capacity of the j-th low-impact energy storage device. j The low-impact energy storage equipment corresponding to the serial number is designated as a fixed energy storage equipment group within the planned time.

[0106] Based on the energy storage capacity and charging rate of each device in the energy storage equipment supplement group, calculate the charging time series group in the energy storage equipment supplement group and extract the longest charging time in the supplement group.

[0107] The longest charging time of the supplementary group and the period of scenario change are summed to obtain the shortest planned charging time for the supplementary group.

[0108] Based on the energy storage capacity and charging rate of each device in the fixed energy storage equipment group, calculate the charging time series group in the fixed energy storage equipment group and extract the longest charging time of the fixed group.

[0109] The longest charging time of the fixed group and the period of scene change are summed to obtain the shortest planned charging time of the fixed group.

[0110] The shortest planned charging time for the supplementary group is compared with the shortest planned charging time for the fixed group, and the maximum value is taken as the time for the energy storage device to complete the energy storage charging.

[0111] Based on the planned completion time of energy storage charging, the charging rate of each device is obtained by comparing the energy storage capacity of each device in the fixed group and the supplementary group with the planned completion time of energy storage charging.

[0112] This invention acquires temperature data of the scenario within the planned energy storage operation time based on the planned operation time of the energy storage device; it generates an energy management strategy for the distributed energy storage device within the planned time. This strategy leverages the differences in the anti-interference performance of the energy storage devices and the degree of scenario variation to collaboratively manage the energy of the distributed energy storage devices. The purpose of this collaborative management is to prevent energy storage devices with poor anti-interference capabilities from operating under scenario influences, effectively reducing external interference during energy storage and ensuring energy storage efficiency. It also effectively ensures the optimal energy acquisition and storage method, storing energy in devices with superior performance. Notably, when facing increased energy storage capacity requirements that energy storage devices with good anti-interference performance cannot meet, this collaborative management can reasonably avoid the influence of the scenario environment and ensure uninterrupted and consistent charging of the energy storage devices, effectively managing the energy storage devices. Example 2

[0113] like Figure 2 As shown in the embodiment of the present invention, a distributed energy storage device energy collaborative management system includes the following modules:

[0114] Analysis module: Obtains the anti-interference level of each distributed energy storage device during periods of scene change;

[0115] In some embodiments, the temperature time series of the scene where the energy storage device is located is obtained within a certain time period, and the temperature change value is calculated;

[0116] Compare the temperature change value with the standard temperature change value;

[0117] If the temperature change value is greater than or equal to the standard temperature change value, it indicates that the temperature fluctuation of the scene is relatively high during that time period, and the time period of the scene is defined as the scene change period.

[0118] If the temperature change value is less than the standard temperature change value, it means that the temperature change fluctuation of the scene is low during that time period, and the time period of the scene is defined as a non-scene change period.

[0119] The following analysis is performed on each distributed energy storage device:

[0120] The charging efficiency and temperature of all distributed energy storage devices were obtained during the period of scene change, and the charging efficiency curve and temperature curve were fitted respectively.

[0121] The charging efficiency curve and temperature curve are divided into several equal sub-curves of charging efficiency and temperature, respectively.

[0122] By using the curve slope formula, the difference between the slopes of the charging efficiency sub-curve and the temperature sub-curve at the same time is calculated. If the difference is low, it indicates that there is a mutual interference relationship between temperature and charging efficiency at that time, and the time of this interference is defined as the interference time.

[0123] The total duration of all interference effects is recorded, and the total duration of interference effects during the scene change period is calculated. The first interference effect ratio is obtained by calculating the ratio of the total duration of interference effects to the duration of scene change.

[0124] Additionally, the variance of charging efficiency during the scene change period is processed to obtain the charging efficiency variance, and the variance of temperature during the scene change period is processed to obtain the temperature variance. The difference between the charging efficiency variance and the temperature variance is calculated to obtain the second interference effect ratio.

[0125] By comprehensively analyzing the impact ratio of the first interference and the impact ratio of the second interference, the anti-interference level of the distributed energy storage device can be obtained.

[0126] Classification module: Distributed energy storage devices are classified according to their anti-interference level, resulting in high anti-interference energy storage devices and low anti-interference energy storage devices;

[0127] In some embodiments, if the anti-interference level of a distributed energy storage device is less than the standard anti-interference level, the distributed energy storage device is defined as a low anti-interference energy storage device.

[0128] If the anti-interference level of a distributed energy storage device is greater than or equal to the standard anti-interference level, this distributed energy storage device is identified as a high anti-interference energy storage device.

[0129] Management module: Obtains the energy storage plan time of the energy storage device, as well as the temperature data of the scenario during the plan time; generates the energy management strategy for the distributed energy storage device during the plan time.

[0130] Energy management strategies include capacity shortage strategies;

[0131] The generation process of the insufficient capacity strategy is as follows:

[0132] If the energy capacity to be stored exceeds the energy storage capacity of all high interference-resistant energy storage devices, the high interference-resistant energy storage devices will be identified as a fixed energy storage device group.

[0133] Based on the change time corresponding to the change stage and the energy storage capacity of the high-interference-resistant energy storage equipment, low-interference-resistant energy storage equipment that meets the energy requirements is selected as a supplementary group of energy storage equipment.

[0134] In some embodiments, if the energy capacity to be stored exceeds the energy storage capacity of all high interference-resistant energy storage devices, the high interference-resistant energy storage devices are identified as a fixed group of energy storage devices.

[0135] Based on the change time corresponding to the change stage and the energy storage capacity of the high-interference-resistant energy storage equipment, low-interference-resistant energy storage equipment that meets the energy requirements is selected as a supplementary group of energy storage equipment.

[0136] The process for determining the energy storage equipment supplementary group is as follows:

[0137] The excess energy value is obtained by calculating the amount by which the energy capacity to be stored exceeds the energy storage capacity of the high interference resistance energy storage device.

[0138] The low-impact energy storage devices are sorted from highest to lowest imperfection level to obtain a low-impact energy storage device sequence; according to the second capacity satisfaction formula, the energy storage device replenishment group is determined within the planned time, and then the energy storage devices are charged.

[0139] The second capacity satisfies the following formula:

[0140] ( A 1+ A 2+..+ A j )≥ A

[0141] ( A 1+ A 2+..+ A j-1 ) < A

[0142] Among them, A j Let A represent the energy storage capacity of the j-th low-impact energy storage device in the sequence of low-impact energy storage devices; A is the electrical energy capacity to be stored; the calculated (A1, A2, ..., A...) will be used to determine the energy storage capacity of the j-th low-impact energy storage device. j The low-impact energy storage equipment corresponding to the serial number is designated as a fixed energy storage equipment group within the planned time.

[0143] Based on the energy storage capacity and charging rate of each device in the energy storage equipment supplement group, calculate the charging time series group in the energy storage equipment supplement group and extract the longest charging time in the supplement group.

[0144] The longest charging time of the supplementary group and the period of scenario change are summed to obtain the shortest planned charging time for the supplementary group.

[0145] Based on the energy storage capacity and charging rate of each device in the fixed energy storage equipment group, calculate the charging time series group in the fixed energy storage equipment group and extract the longest charging time of the fixed group.

[0146] The longest charging time of the fixed group and the period of scene change are summed to obtain the shortest planned charging time of the fixed group.

[0147] The shortest planned charging time for the supplementary group is compared with the shortest planned charging time for the fixed group, and the maximum value is taken as the time for the energy storage device to complete the energy storage charging.

[0148] Based on the planned completion time of energy storage charging, the charging rate of each device is obtained by comparing its energy storage capacity with the planned completion time of energy storage charging in both the fixed and supplementary energy storage groups.

[0149] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for energy collaborative management of distributed energy storage devices, characterized in that, Includes the following steps: To obtain the anti-interference level of each distributed energy storage device during periods of scene change; Distributed energy storage devices are classified according to their anti-interference level, resulting in high anti-interference energy storage devices and low anti-interference energy storage devices. Acquire the energy storage plan time of the energy storage device, as well as the temperature data of the scenario during the plan time; generate the energy management strategy for the distributed energy storage device during the plan time. Energy management strategies include capacity shortage strategies; The generation process of the insufficient capacity strategy is as follows: If the energy capacity to be stored exceeds the energy storage capacity of all high interference-resistant energy storage devices, the high interference-resistant energy storage devices will be identified as a fixed energy storage device group. Based on the change time corresponding to the change stage and the energy storage capacity of the high-interference-resistant energy storage equipment, low-interference-resistant energy storage equipment that meets the energy requirements is selected as a supplementary group of energy storage equipment. The process for obtaining the interference immunity of each distributed energy storage device is as follows: The charging efficiency and temperature of all distributed energy storage devices are obtained during the period of scene change, and the charging efficiency curve and temperature curve are fitted respectively. The charging efficiency curve and temperature curve are divided into several equal sub-curves of charging efficiency and temperature, respectively. The difference in the slopes of the charging efficiency sub-curve and the temperature sub-curve at the same time is calculated, and the time is defined as the interference effect time. Calculate the percentage of time all interference affects the scene during the changing period to obtain the first interference impact ratio; Additionally, variance processing is performed on the charging efficiency and temperature during the period of scene change to obtain the charging efficiency variance and temperature variance. The difference between the charging efficiency variance and the temperature variance is calculated to obtain the second interference impact ratio. By comprehensively analyzing the impact ratio of the first interference and the impact ratio of the second interference, the anti-interference level of the distributed energy storage device can be obtained. The process of defining the interference effect time is as follows: Using the curve slope formula, the slope of the charging efficiency sub-curve and the slope of the temperature sub-curve at the same time are calculated respectively. The absolute difference between the slope of the charging efficiency sub-curve and the slope of the temperature sub-curve is calculated to obtain the slope difference at the same time. If the slope difference is less than the standard slope difference, its duration is defined as the disturbance effect time.

2. The energy collaborative management method for distributed energy storage devices according to claim 1, characterized in that, The process for determining the time period of scene change is as follows: Obtain the temperature time series of the scenario where the energy storage device is located within a certain period of time, and calculate the temperature change value; If the temperature change value is greater than or equal to the standard temperature change value, the time period of this scenario is defined as the scenario change period.

3. The energy collaborative management method for distributed energy storage devices according to claim 2, characterized in that, If the interference immunity of a distributed energy storage device is less than the standard interference immunity, the distributed energy storage device is classified as a low interference immunity energy storage device.

4. The energy collaborative management method for distributed energy storage devices according to claim 1, characterized in that, If the anti-interference level of a distributed energy storage device is greater than or equal to the standard anti-interference level, this distributed energy storage device is identified as a high anti-interference energy storage device.

5. The energy collaborative management method for distributed energy storage devices according to claim 1, characterized in that, The process for determining the energy storage equipment supplementary group is as follows: The excess energy value is obtained by calculating the amount by which the energy capacity to be stored exceeds the energy storage capacity of the high interference resistance energy storage device. The low-impact energy storage devices are sorted from highest to lowest imperfection level to obtain a low-impact energy storage device sequence; based on the second capacity satisfaction formula, the energy storage device supplementary group is determined within the planned time.

6. The energy collaborative management method for distributed energy storage devices according to claim 5, characterized in that, The second capacity satisfies the formula: ； Among them, A j Let A represent the energy storage capacity of the j-th low-interference energy storage device in the sequence of low-interference energy storage devices; A is the electrical energy capacity to be stored.

7. The energy collaborative management method for distributed energy storage devices according to claim 6, characterized in that, Based on the energy storage capacity and charging rate of each device in the energy storage equipment supplement group, calculate the charging time series group in the energy storage equipment supplement group and extract the longest charging time in the supplement group. The longest charging time of the supplementary group and the period of scenario change are summed to obtain the shortest planned charging time for the supplementary group. Based on the energy storage capacity and charging rate of each device in the fixed energy storage equipment group, calculate the charging time series group in the fixed energy storage equipment group and extract the longest charging time of the fixed group. The longest charging time of the fixed group and the period of scene change are summed to obtain the shortest planned charging time of the fixed group. The shortest planned charging time for the replenishment group is compared with the shortest planned charging time for the fixed group, and the maximum value is taken as the time for the energy storage device to complete the energy storage charging.

8. The energy collaborative management method for distributed energy storage devices according to claim 7, characterized in that, Based on the planned completion time of energy storage charging, the charging rate of each device is obtained by comparing its energy storage capacity with the planned completion time of energy storage charging in both the fixed and supplementary energy storage groups.

9. A distributed energy storage device energy collaborative management system, characterized in that, The system is used to perform the method according to any one of claims 1-8, the system comprising: Analysis module: Obtains the anti-interference level of each distributed energy storage device during periods of scene change; Classification module: Distributed energy storage devices are classified according to their anti-interference level, resulting in high anti-interference energy storage devices and low anti-interference energy storage devices; Management module: Obtains the energy storage plan time of the energy storage device, as well as the temperature data of the scenario during the plan time; generates the energy management strategy for the distributed energy storage device during the plan time. Energy management strategies include capacity shortage strategies; The generation process of the insufficient capacity strategy is as follows: If the energy capacity to be stored exceeds the energy storage capacity of all high interference-resistant energy storage devices, the high interference-resistant energy storage devices will be identified as a fixed energy storage device group. Based on the change time corresponding to the change stage and the energy storage capacity of high interference-resistant energy storage equipment, low interference-resistant energy storage equipment that meets the energy requirements is selected as a supplementary group of energy storage equipment.

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