Distributed energy storage method and system for energy devices in power systems

Abstract

The application discloses a kind of distributed energy storage methods of energy equipment in power system, it is related to power system technical field.The main problem is that the efficiency of existing energy storage is low, and it cannot meet the energy storage demand in extreme storage scenario.The main include obtaining all storage controllers record matching energy equipment energy storage amount, energy storage amount includes residual storage, expected storage and storage rate;According to energy storage, the energy storage controller associated energy equipment is stored energy sorting, and determines the multiple target energy equipment of different batch sorting, so as to send energy storage instruction to storage controller according to batch sorting;When storage controller opens the energy storage operation of target energy equipment according to batch sorting, the storage state of target energy equipment is obtained, and the distributed storage proportion is determined based on the storage state;When distributed storage proportion does not match preset proportion threshold, distributed storage warning information is generated.It is mainly used for energy distributed storage.

Description

Technical Field

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

[0002] As the execution system for electricity production, transmission, and consumption, the power system does not directly use electricity generated by generators to the load end. Instead, it needs to store the energy so that it can be retrieved and used when needed.

[0003] Currently, electrical energy is typically stored piecemeal in energy devices and drawn from these devices one at a time when needed. However, storing energy piecemeal slows down the energy storage rate, and it becomes ineffective when the amount of energy is too large or the charging time is too short. Summary of the Invention

[0004] In view of this, the present invention provides a distributed energy storage method and system for energy devices in a power system, the main purpose of which is to address the problem that the efficiency of existing energy storage is low and cannot meet the energy storage needs under extreme storage scenarios.

[0005] According to one aspect of the present invention, a method for distributed energy storage of energy devices in a power system is provided, comprising:

[0006] Obtain the energy storage capacity of all storage controllers and matching energy devices, including remaining storage capacity, expected storage capacity, and storage rate;

[0007] The energy devices associated with the storage controller are sorted according to the energy storage capacity, and multiple target energy devices in different batches are determined so that energy storage instructions can be sent to the storage controller according to the batch order.

[0008] When the storage controller starts the energy storage operation of the target energy device according to the batch order, it obtains the storage status of the target energy device and determines the proportion of distributed storage based on the storage status;

[0009] If the proportion of distributed storage does not match the preset proportion threshold, a distributed storage warning message will be generated.

[0010] Furthermore, obtaining the energy storage capacity of all storage controller records matching energy devices includes:

[0011] Send query requests to multiple connected storage controllers so that the storage controllers can query the energy storage capacity of multiple associated energy devices;

[0012] The energy devices are distributed in different load consumption areas. Each load consumption area has a number of energy devices that match the load consumption coefficient. The load consumption coefficient is used to characterize the extent to which the load devices draw energy from the energy devices for consumption.

[0013] Furthermore, the step of sorting the energy devices associated with the storage controller according to the energy storage capacity and determining multiple target energy devices in different batches includes:

[0014] The energy storage ranking level of the energy device is obtained by using the remaining storage capacity, the expected storage capacity, the storage rate, the energy device usage time, and the load consumption frequency to predict the energy storage capacity of the energy device. The ranking level includes a first ranking level, a second ranking level, and a third ranking level.

[0015] Based on the load consumption coefficient, the extreme value of the number of energy devices to be stored simultaneously in the load consumption area is determined, and batches are selected from the energy storage sorting level according to the extreme value of the number of energy devices, and the batch sorting and target energy devices of different batch sorting are determined.

[0016] Further, the step of selecting batches from the energy storage ranking levels according to the extreme values ​​of the energy equipment quantity, and determining the batch ranking and the target energy equipment for different batch rankings includes:

[0017] If the number of energy devices in the first ranking level is less than the extreme value of the number of energy devices, then the energy devices in the first and second ranking levels are determined as the first batch, the energy devices in the third ranking level are determined as the second batch, and the corresponding target energy devices are determined; or,

[0018] If the number of energy devices in the first ranking level is greater than the extreme value of the number of energy devices, then the first batch of target energy devices is selected from the energy devices in the first ranking level according to the extreme value of the number of energy devices, and the remaining energy devices in the first ranking level and the energy devices in the second ranking level are determined as the second batch of target energy devices.

[0019] Furthermore, the method also includes:

[0020] The first target storage controller corresponding to the first batch of target energy devices is determined, a first energy storage command is sent to the first target storage controller according to the first energy storage conditions, and storage status information is recorded, including time information, energy storage capacity and device status information;

[0021] When the storage status information matches the second energy storage condition, the second target storage controller corresponding to the target energy equipment in the second batch is determined, and the second energy storage command is sent.

[0022] Furthermore, determining the proportion of distributed storage based on the storage status includes:

[0023] Analyze the current storage amount, current storage duration, historical storage amount, and historical storage duration in the storage status;

[0024] The proportion of distributed storage is calculated based on the ratio between the current storage volume and the current storage duration and the historical storage volume and the historical storage duration.

[0025] According to another aspect of the present invention, a distributed energy storage system for energy devices in a power system is provided, comprising:

[0026] The acquisition module is used to acquire the energy storage capacity of all energy devices matched by the storage controller records. The energy storage capacity includes the remaining storage capacity, the expected storage capacity, and the storage rate.

[0027] The sorting module is used to sort the energy devices associated with the storage controller according to the energy storage capacity, and to determine multiple target energy devices in different batches, so as to send energy storage instructions to the storage controller according to the batch sorting.

[0028] The determination module is used to obtain the storage status of the target energy device when the storage controller starts the energy storage operation of the target energy device according to the batch order, and determine the proportion of distributed storage based on the storage status.

[0029] The generation module is used to generate distributed storage warning information when the proportion of distributed storage does not match a preset proportion threshold.

[0030] Furthermore, the acquisition module includes:

[0031] A query unit is used to send query requests to multiple connected storage controllers so that the storage controllers can query the energy storage capacity of multiple associated energy devices; wherein the energy devices are distributed in different load consumption areas, and each load consumption area is provided with a number of energy devices matching a load consumption coefficient, the load consumption coefficient being used to characterize the degree to which the load devices draw energy from the energy devices for consumption.

[0032] Furthermore, the sorting module includes:

[0033] The prediction unit is used to predict the storage capacity of the energy device using the remaining storage capacity, the expected storage capacity, the storage rate, the energy device usage time, and the load consumption frequency, and to obtain the energy storage ranking level of the energy device. The ranking level includes a first ranking level, a second ranking level, and a third ranking level.

[0034] The screening unit is used to determine the extreme value of the number of energy devices to be stored simultaneously in the load consumption area based on the load consumption coefficient, and to screen batches from the energy storage sorting level according to the extreme value of the number of energy devices, and to determine the batch sorting and the target energy devices for different batch sortings.

[0035] Furthermore, in a specific application scenario, the filtering unit is specifically used to determine the energy devices of the first and second ranking levels as the first batch and the energy devices of the third ranking level as the second batch if the number of energy devices of the first ranking level is less than the extreme value of the number of energy devices; and to determine the corresponding target energy devices if the number of energy devices of the first ranking level is greater than the extreme value of the number of energy devices. Alternatively, if the number of energy devices of the first ranking level is greater than the extreme value of the number of energy devices, the unit filters the target energy devices of the first batch from the energy devices of the first ranking level according to the extreme value of the number of energy devices, and determines the remaining energy devices of the first and second ranking levels as the target energy devices of the second batch.

[0036] Furthermore, the system also includes:

[0037] The first sending module is used to determine the first target storage controller corresponding to the target energy equipment in the first batch, send a first energy storage instruction to the first target storage controller according to the first energy storage conditions, and record storage status information, which includes time information, energy storage capacity, and equipment status information.

[0038] The second sending module is used to determine the second target storage controller corresponding to the second batch of target energy devices and send the second energy storage command when the storage status information matches the second energy storage conditions.

[0039] Furthermore, the determining module includes:

[0040] The parsing unit is used to parse the current storage amount, current storage duration, historical storage amount, and historical storage duration in the storage state;

[0041] The calculation unit is used to calculate the distributed storage ratio based on the ratio between the current storage amount and the current storage duration and the historical storage amount and the historical storage duration.

[0042] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored therein, the executable instruction causing a processor to perform an operation corresponding to the distributed energy storage method of the energy equipment in the power system described above.

[0043] According to another aspect of the present invention, a terminal is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus;

[0044] The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the distributed energy storage method of the energy equipment in the power system described above.

[0045] By employing the above-described technical solutions, the technical solutions provided by the embodiments of the present invention have at least the following advantages:

[0046] This invention provides a distributed energy storage method and system for energy devices in a power system. In this embodiment, the energy storage capacity of matching energy devices is obtained from all storage controller records. This energy storage capacity includes remaining storage capacity, expected storage capacity, and storage rate. The energy devices associated with the storage controllers are sorted according to the energy storage capacity, and multiple target energy devices in different batches are identified. Energy storage instructions are then sent to the storage controllers according to the batch order. When the storage controller initiates energy storage operation on a target energy device according to the batch order, the storage status of the target energy device is obtained, and a distributed storage ratio is determined based on the storage status. If the distributed storage ratio does not match a preset ratio threshold, a distributed storage warning is generated. By sorting energy devices in batches and storing energy according to the batch order, the energy storage sequence can be flexibly arranged to adapt to different energy storage scenarios, while simultaneously achieving parallel energy storage of energy devices under safe conditions, thereby improving energy storage efficiency.

[0047] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0048] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0049] Figure 1 A flowchart of a distributed energy storage method for energy devices in a power system, provided by an embodiment of the present invention, is shown.

[0050] Figure 2 This invention provides a flowchart of another distributed energy storage method for energy devices in a power system.

[0051] Figure 3 This invention provides a block diagram of a distributed energy storage system for energy devices in a power system, according to an embodiment of the present invention.

[0052] Figure 4 A schematic diagram of the structure of a terminal provided in an embodiment of the present invention is shown. Detailed Implementation

[0053] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0054] This invention provides a method for distributed energy storage of energy devices in a power system, such as... Figure 1 As shown, the method includes:

[0055] 101. Obtain the energy storage capacity of all energy devices that match the records of all storage controllers.

[0056] In this embodiment of the invention, the power system includes multiple energy devices for energy storage and storage controllers configured in association with each energy device. The correspondence between storage controllers and energy devices is one-to-many, meaning one storage controller is associated with two or more energy devices for centralized control. Specifically, one storage controller can be configured for each power plant or energy consumption area to control all energy devices within that power plant or energy consumption area. The current execution entity can be a main controller that processes the records of all storage controllers in the power system, a cloud server or a local server deployed at the power plant, or a specific storage controller designated among the storage controllers; this embodiment of the invention does not impose specific limitations.

[0057] In the distributed energy storage process of energy devices, the storage controller receives energy storage instructions from the current executing entity and controls the energy storage process of each associated energy device according to these instructions. This includes controlling energy storage parameters such as storage start-up, storage stop-up, and storage duration. Furthermore, the storage controller records the energy storage capacity of associated energy devices in real time, including remaining storage capacity, expected storage capacity, and storage rate. Since a power system includes multiple energy devices, different energy devices need to be controlled in batches and stages according to a certain control strategy. To determine a better distributed energy storage method, it is necessary to obtain the energy storage capacity matching each energy device from the storage controllers corresponding to all energy devices in the power system for subsequent energy storage scheme analysis and decision-making. The storage controller can be a server, computer equipment, etc., and this embodiment of the invention does not specifically limit its use.

[0058] 102. Sort the energy devices associated with the storage controller according to the energy storage capacity, and determine multiple target energy devices in different batches, so as to send energy storage instructions to the storage controller according to the batch order.

[0059] In this embodiment of the invention, after obtaining the real-time energy storage capacity corresponding to each energy device, the devices are sorted according to their energy storage capacity. The energy devices in the sorted sequence are then divided into multiple batches, resulting in multiple different batch sorts. Each batch of energy devices is the target energy device for that batch. After determining the target energy devices in different batch sorts, energy storage instructions are sent to the storage controller associated with each target energy device, enabling each target energy device to perform energy storage in batches and at different times according to the batch sort. It should be noted that target energy devices in one batch sort can perform energy storage simultaneously, and target energy devices in different batch sorts are stored according to their sorting order. The switching timing between different batch sorts is when the storage status of the target energy device in the current batch sort meets the switching conditions, at which point the target energy device in the next batch sort begins energy storage. The switching conditions can be customized according to requirements, such as an average storage ratio exceeding 90%, but this embodiment of the invention does not impose specific limitations.

[0060] Specifically, since energy storage capacity includes several parameters such as remaining storage capacity, expected storage capacity, and storage rate, sorting can be based on one or more of these parameters. Under normal circumstances, sorting is based on ascending order of remaining storage capacity, with energy devices having relatively lower storage capacity ranked higher and those with relatively higher storage capacity ranked lower. After determining the ranking, batches are then divided. The number of devices in each batch can be determined based on the number of energy devices allowed to operate simultaneously in the current load consumption area. After obtaining multiple different batch rankings, the higher the rank of the energy device in a batch, the higher its corresponding batch's energy storage order, prioritizing storage for energy devices with lower remaining storage capacity. When the remaining storage capacity of each energy device is not lower than the corresponding threshold (i.e., sufficient energy storage), the difference between the expected storage capacity and the remaining storage capacity is calculated as the allowable storage capacity, and the devices are sorted in descending order of allowable storage capacity before batch division, resulting in multiple different batch rankings to prioritize charging energy devices with higher energy receiving capacity. If more than half of all energy devices have remaining storage capacity below a certain threshold, the devices can be comprehensively sorted based on their remaining storage capacity and storage rate to obtain a comprehensive sorting sequence. Then, batches can be formed, grouping devices with similar expected charging times into a single batch. The comprehensive sorting can be done by arranging remaining storage capacity in ascending order and storage rate in descending order. Then, a weighted average of the sorting order positions for each energy device's remaining storage capacity and storage rate can be taken, and the devices can be sorted in ascending order based on this weighted average to obtain a new sorting sequence. If there are ties, the devices can be further sorted by having the lowest remaining storage capacity. The expected charging time can be calculated by determining the allowable storage capacity based on the difference between the expected and remaining storage capacity, and then the storage time can be determined based on the ratio of the allowable storage capacity to the storage rate. Of all energy devices, more than half have remaining storage capacity below the corresponding threshold, indicating an urgent need to charge multiple energy devices. By combining storage rate and remaining storage capacity for comprehensive ranking, energy devices with shorter charging times can be prioritized for charging, thereby improving the overall charging efficiency of energy devices and quickly alleviating the problem of insufficient energy storage.

[0061] By sorting energy storage capacity to obtain different batches, energy storage can be carried out in batches and stages according to the real-time status of energy devices. This not only enables simultaneous storage of multiple energy devices but also meets the needs of different energy device storage scenarios, thereby improving energy storage efficiency and meeting energy storage requirements in extreme storage scenarios.

[0062] 103. When the storage controller starts the energy storage operation of the target energy device according to the batch order, it obtains the storage status of the target energy device and determines the proportion of distributed storage based on the storage status.

[0063] In this embodiment of the invention, after the storage controller controls the target energy device to perform energy storage operations according to the received energy storage command, it also needs to monitor the storage status of the target energy device to determine the distributed storage ratio. The storage status refers to the overall storage situation of the target energy device in the current batch of energy storage, such as the storage duration, storage amount, and device operating status of all target energy devices in the current batch. The distributed storage ratio is the ratio of the energy status of the current batch to that of historical batches, used to reflect whether the storage status of the current batch is normal. The storage status of historical batches can be the average of the storage status of all batches within a preset historical time period. The preset historical time period can be one month, three months, etc., or it can be customized according to actual application needs; this embodiment of the invention does not impose specific limitations.

[0064] 104. When the proportion of distributed storage does not match the preset proportion threshold, a distributed storage warning message is generated.

[0065] In this embodiment of the invention, the distributed storage ratio reflects the storage status. For example, if the ratio of the current storage volume to the historical storage volume is too large, it may cause the energy equipment to overheat or operate beyond its rated specifications; if the ratio of the current storage duration to the historical storage duration exceeds a certain threshold, it may cause energy waste; if the ratio of the current energy equipment's operating parameters to the historical operating parameters of the energy equipment exceeds a certain threshold range, it may indicate that the energy equipment has malfunctioned. Therefore, when the distributed storage ratio does not match the preset ratio threshold, a distributed storage early warning message needs to be generated. The preset ratio threshold may include multiple thresholds matching different storage data items, which can be customized according to actual needs. The early warning message may include the preset ratio threshold mismatch that triggers the warning and the specific value exceeding the preset ratio threshold, thereby providing a more accurate reference for on-site monitoring personnel to conduct anomaly analysis and troubleshooting of energy equipment.

[0066] In one embodiment of the present invention, for further explanation and limitation, obtaining the energy storage capacity of all storage controller records matching energy devices includes:

[0067] Query requests are sent to multiple connected storage controllers so that the storage controllers can query the energy storage capacity of multiple associated energy devices.

[0068] In this embodiment of the invention, when it is necessary to obtain the energy storage amount recorded by all storage controllers, the current executing entity needs to send query requests to multiple storage controllers with which it has communication connections, so that the corresponding storage controllers return the energy storage amount of the energy devices associated with them according to the query requests. The energy devices are distributed in different load consumption areas, and each load consumption area has a number of energy devices matching the load consumption coefficient. That is, the number of energy devices associated with the storage controller is determined based on the load consumption coefficient of the load consumption area where the energy device is located. The load consumption coefficient is used to characterize the degree to which the load device draws energy from the energy device for consumption. If the load device is a large piece of equipment in a heavy industry enterprise, the energy consumption rate and amount drawn from the energy device will be relatively large. If the load device is a transmission and small mechanical equipment in a light industry or microelectronics enterprise, the energy consumption rate and amount drawn from the energy device will be relatively small. The load consumption coefficient can be updated at preset time intervals, and the corresponding number of energy devices associated with the storage controller can also be adjusted according to the update of the energy consumption system. This embodiment of the invention does not impose specific limitations. It should be noted that determining the number of energy devices based on the load consumption coefficient can improve the utilization rate of energy devices and the efficiency of energy use.

[0069] In one embodiment of the present invention, for further illustration and limitation, such as Figure 2 As shown, the step of sorting the energy devices associated with the storage controller according to the energy storage capacity and determining multiple target energy devices in different batches includes:

[0070] 201. Using the remaining storage capacity, the expected storage capacity, the storage rate, the energy equipment usage time, and the load consumption frequency, the energy equipment storage prediction is performed to obtain the energy storage ranking level of the energy equipment.

[0071] 202. Based on the load consumption coefficient, determine the extreme value of the number of energy devices to be stored simultaneously in the load consumption area, and select batches from the energy storage sorting level according to the extreme value of the number of energy devices, and determine the batch sorting and the target energy devices for different batch sortings.

[0072] In this embodiment of the invention, storage prediction is implemented based on a trained ranking level prediction model. The ranking level prediction model can be a four-layer neural network model built on any of the following as the base model: a fully connected neural network, a recurrent neural network (RNN), or a long short-term memory network (LSTM). This model includes a feature input layer, a first feature fusion layer, a second feature fusion layer, and a feature output layer. This trained ranking level prediction model is obtained by training samples with different pre-constructed ranking levels. The training samples for different ranking levels include training sample data labeled with different ranking levels. The training sample data is based on different combinations of historical remaining storage capacity, historical expected storage capacity, historical storage rate, historical energy equipment usage duration, and historical load consumption frequency. The model is trained using a cross-entropy function as the loss function. The ranking levels include a first ranking level, a second ranking level, and a third ranking level, with the first ranking level having the highest priority and the third ranking level having the lowest priority. The ranking levels can be divided based on the urgency of storage needs for different energy devices under different scenarios. Under different demand scenarios, the influence weight and direction of each influencing factor on the storage ranking level are different. In scenarios requiring rapid energy replenishment, the remaining storage capacity, load consumption frequency, and storage rate have higher weighting. Furthermore, the lower the remaining storage capacity and the higher the ratio of load consumption frequency to storage rate, the higher the priority corresponding to the ranking level.

[0073] For example, an energy device with 20% remaining storage capacity, a load consumption frequency of 50Hz, and a storage rate of 0.5 has a higher priority in energy storage ranking than an energy device with 40% remaining storage capacity, a load consumption frequency of 20Hz, and a storage rate of 0.3. In scenarios requiring rapid energy consumption and replenishment, to ensure storage speed and security, the expected storage capacity, storage rate, and energy device usage time have higher weights. Higher expected storage capacity and storage rate result in higher priority, as does shorter usage time. For example, an energy device with an expected storage capacity of 2000 kWh and a usage time of 100 hours has a higher priority in energy storage ranking than one with an expected storage capacity of 1000 kWh and a usage time of 500 hours. In summary, different training sample sets can be constructed for different scenarios, and the model can be trained based on these sets to obtain ranking level prediction models that match different application scenarios.

[0074] By comprehensively considering the above five parameters, the urgency of energy storage for energy devices is ranked, and the ranking level is predicted according to different application scenarios. This allows for the evaluation of the storage priority of energy devices from multiple dimensions such as energy demand, energy consumption, and storage device security, thereby obtaining a more comprehensive and accurate ranking level.

[0075] After determining the energy storage ranking level of the energy devices, it is also necessary to divide the energy storage batches. In this embodiment of the invention, based on the energy storage ranking level, the energy storage batches are divided according to the extreme value of the energy device quantity in the load consumption region where the current storage controller is located. The extreme value of the energy device quantity can be calculated based on the load consumption coefficient. The load consumption coefficient is positively correlated with the energy consumption rate. The larger the load consumption coefficient, the larger the minimum value of the extreme value of the energy device quantity; the smaller the load consumption coefficient, the smaller the maximum value of the extreme value of the energy device quantity. The calculation formula is expressed as follows:

[0076] ;

[0077] Where b is the base number of energy equipment. This is the load consumption coefficient. and To adjust the parameters, c is a number less than 1. This is an integer greater than 1, and the specific value can be customized according to the scenario requirements. After matching and obtaining the extreme values ​​of energy equipment quantity, energy equipment of different energy storage ranking levels is filtered based on the quantity range defined by the maximum and minimum values ​​of the extreme values ​​of energy equipment quantity.

[0078] In one embodiment of the present invention, for further explanation and limitation, the step of selecting batches from the energy storage ranking levels according to the extreme values ​​of the energy equipment quantity, determining the batch ranking, and the target energy equipment for different batch rankings includes:

[0079] If the number of energy devices in the first ranking level is less than the minimum value of the extreme value of the number of energy devices, then the energy devices in the first and second ranking levels are determined as the first batch, the energy devices in the third ranking level are determined as the second batch, and the corresponding target energy devices are determined; or,

[0080] If the number of energy devices in the first ranking level is greater than the maximum value of the extreme value of the number of energy devices, then the first batch of target energy devices is selected from the energy devices in the first ranking level according to the extreme value of the number of energy devices, and the remaining energy devices in the first ranking level and the energy devices in the second ranking level are determined as the second batch of target energy devices.

[0081] In this embodiment of the invention, based on energy storage prediction, all energy devices can be divided into a first ranking level to a third ranking level, meaning each ranking level corresponds to multiple energy devices. When the number of energy devices in the first ranking level is less than the maximum number of energy devices, the energy devices in the first and second ranking levels are combined into the first batch, and the energy devices in the third ranking level are divided into the second batch for energy storage. When the number of energy devices in the first ranking level equals the maximum number of energy devices, the energy devices in the first ranking level are divided into the first batch, the energy devices in the second ranking level are divided into the second batch, and the energy devices in the third ranking level are divided into the third batch. When the number of energy devices in the first ranking level exceeds the maximum number of energy devices, energy devices whose quantity meets the maximum number of energy devices are selected from the energy devices in the first ranking level as the target energy devices for the first batch, and the remaining energy devices in the first and second ranking levels are determined as the target energy devices for the second batch, and the energy devices in the third ranking level are determined as the target energy devices for the third batch. Select energy devices from the first-ranked energy devices that meet the maximum energy device quantity requirement. Specifically, the selection can be done in ascending order of remaining storage capacity, from front to back, until the quantity meets the maximum energy device quantity requirement. The selected energy devices will be used as the first batch of target energy devices.

[0082] In one embodiment of the present invention, for further explanation and limitation, the method further includes:

[0083] The first target storage controller corresponding to the first batch of target energy equipment is determined, a first energy storage command is sent to the first target storage controller according to the first energy storage conditions, and storage status information is recorded;

[0084] When the storage status information matches the second energy storage condition, the second target storage controller corresponding to the target energy equipment in the second batch is determined, and the second energy storage command is sent.

[0085] In this embodiment of the invention, the first energy storage condition is used to compare whether the first target storage controller can start energy storage, and can be customized according to specific application scenarios. For example, whether the operating status of the energy device meets the conditions for immediately executing the storage action, whether the previous energy storage was normal, etc. The second energy storage condition is a condition that indicates the first target storage controller can stop storage. When the first target storage controller meets the second energy storage condition, it indicates that the expected storage amount has been met or is close to being met, and storage can be stopped, switching to the storage of the next batch of target energy devices. The storage status information includes time information, energy storage, and device status information. Correspondingly, the second energy storage condition may also include at least one of the corresponding time condition, energy storage condition, and device status condition. When one or more of the storage status information meets the corresponding condition in the second energy storage condition, it is determined that the storage status information matches the second energy storage condition, and a second energy storage command can be sent to the second target storage controller. And so on. If there is a third batch of target energy devices, it is determined whether to start the storage of the third batch based on the matching result of the second energy storage condition and the storage status information of the second target storage controller.

[0086] In one embodiment of the present invention, for further explanation and limitation, determining the proportion of distributed storage based on the storage status includes:

[0087] Analyze the current storage amount, current storage duration, historical storage amount, and historical storage duration in the storage status;

[0088] The proportion of distributed storage is calculated based on the ratio between the current storage volume and the current storage duration and the historical storage volume and the historical storage duration.

[0089] In this embodiment of the invention, the storage status of the target energy device includes both the storage amount (current batch storage amount) and storage duration (current batch storage duration) of the current batch, as well as the historical storage amount and historical storage duration within a historical time period. The historical storage amount and historical storage duration can be used to determine the average storage amount and storage duration of a single storage operation under the historical normal operating conditions of the target energy device. The ratio of the current storage amount and storage duration to the historical storage amount and historical storage duration can characterize whether the current storage process is normal. If the ratio is too large, it indicates that the storage amount is too large and the storage time is too long; if the ratio is too small, it indicates that the storage may experience unexpected interruption. Specifically, the proportion of distributed storage... The calculation formula is expressed as:

[0090] ;

[0091] in, This is the storage amount for the current transaction. The duration of storage at this time. For historical storage volume, The historical storage duration is specified. The historical time period can be one week, one month, etc., and can be customized according to application requirements. This embodiment of the invention does not impose specific limitations.

[0092] This invention provides a distributed energy storage method for energy devices in a power system. In this embodiment, the method acquires the energy storage capacity of matching energy devices recorded by all storage controllers. This energy storage capacity includes remaining storage capacity, expected storage capacity, and storage rate. The energy devices associated with the storage controllers are sorted according to the energy storage capacity, and multiple target energy devices in different batches are identified. Energy storage instructions are then sent to the storage controllers according to the batch order. When the storage controller initiates energy storage operation on a target energy device according to the batch order, the storage status of the target energy device is acquired, and a distributed storage ratio is determined based on the storage status. If the distributed storage ratio does not match a preset ratio threshold, a distributed storage warning is generated. By sorting energy devices in batches and storing energy according to the batch order, the method can flexibly allocate energy storage order to adapt to different energy storage scenarios while achieving parallel energy storage under safe conditions, thereby improving energy storage efficiency.

[0093] Furthermore, as a response to the above Figure 1 The implementation of the method shown in this invention provides a distributed energy storage system for energy devices in a power system, such as... Figure 3 As shown, the system includes:

[0094] The acquisition module 31 is used to acquire the energy storage capacity of all energy devices matched by the storage controller records. The energy storage capacity includes the remaining storage capacity, the expected storage capacity, and the storage rate.

[0095] The sorting module 32 is used to sort the energy devices associated with the storage controller according to the energy storage amount, and determine multiple target energy devices in different batches, so as to send energy storage instructions to the storage controller according to the batch sorting.

[0096] The determination module 33 is used to obtain the storage status of the target energy device when the storage controller starts the energy storage operation of the target energy device according to the batch order, and determine the proportion of distributed storage based on the storage status.

[0097] The generation module 34 is used to generate distributed storage warning information when the proportion of distributed storage does not match a preset proportion threshold.

[0098] Furthermore, the acquisition module 31 includes:

[0099] A query unit is used to send query requests to multiple connected storage controllers so that the storage controllers can query the energy storage capacity of multiple associated energy devices; wherein the energy devices are distributed in different load consumption areas, and each load consumption area is provided with a number of energy devices matching a load consumption coefficient, the load consumption coefficient being used to characterize the degree to which the load devices draw energy from the energy devices for consumption.

[0100] Furthermore, the sorting module 32 includes:

[0101] The prediction unit is used to predict the storage capacity of the energy device using the remaining storage capacity, the expected storage capacity, the storage rate, the energy device usage time, and the load consumption frequency, and to obtain the energy storage ranking level of the energy device. The ranking level includes a first ranking level, a second ranking level, and a third ranking level.

[0102] The screening unit is used to determine the extreme value of the number of energy devices to be stored simultaneously in the load consumption area based on the load consumption coefficient, and to screen batches from the energy storage sorting level according to the extreme value of the number of energy devices, and to determine the batch sorting and the target energy devices for different batch sortings.

[0103] Furthermore, in a specific application scenario, the filtering unit is specifically used to determine the energy devices of the first and second ranking levels as the first batch and the energy devices of the third ranking level as the second batch if the number of energy devices of the first ranking level is less than the extreme value of the number of energy devices; and to determine the corresponding target energy devices if the number of energy devices of the first ranking level is greater than the extreme value of the number of energy devices. Alternatively, if the number of energy devices of the first ranking level is greater than the extreme value of the number of energy devices, the unit filters the target energy devices of the first batch from the energy devices of the first ranking level according to the extreme value of the number of energy devices, and determines the remaining energy devices of the first and second ranking levels as the target energy devices of the second batch.

[0104] Furthermore, the system also includes:

[0105] The first sending module is used to determine the first target storage controller corresponding to the target energy equipment in the first batch, send a first energy storage instruction to the first target storage controller according to the first energy storage conditions, and record storage status information, which includes time information, energy storage capacity, and equipment status information.

[0106] The second sending module is used to determine the second target storage controller corresponding to the second batch of target energy devices and send the second energy storage command when the storage status information matches the second energy storage conditions.

[0107] Furthermore, the determining module 33 includes:

[0108] The parsing unit is used to parse the current storage amount, current storage duration, historical storage amount, and historical storage duration in the storage state;

[0109] The calculation unit is used to calculate the distributed storage ratio based on the ratio between the current storage amount and the current storage duration and the historical storage amount and the historical storage duration.

[0110] This invention provides a system that, in its embodiments, acquires the energy storage capacity of matching energy devices recorded by all storage controllers. This energy storage capacity includes remaining storage capacity, expected storage capacity, and storage rate. The system sorts the energy devices associated with the storage controllers according to the energy storage capacity and determines multiple target energy devices in different batches. Energy storage instructions are then sent to the storage controllers according to the batch order. When the storage controller initiates energy storage operation on a target energy device according to the batch order, the system acquires the storage status of the target energy device and determines the distributed storage ratio based on the storage status. If the distributed storage ratio does not match a preset ratio threshold, a distributed storage warning is generated. By sorting energy devices in batches and storing energy according to the batch order, the system can flexibly allocate energy storage order to adapt to different energy storage scenarios while achieving parallel energy storage under safe conditions, thereby improving energy storage efficiency.

[0111] According to one embodiment of the present invention, a storage medium is provided, the storage medium storing at least one executable instruction, the computer-executable instruction being able to execute the distributed energy storage method of energy devices in a power system in any of the above method embodiments.

[0112] Figure 4 The diagram shows a structural schematic of a terminal according to an embodiment of the present invention. The specific implementation of the terminal is not limited by the specific embodiments of the present invention.

[0113] like Figure 4 As shown, the terminal may include: a processor 402, a communications interface 404, a memory 406, and a communications bus 408.

[0114] The processor 402, communication interface 404, and memory 406 communicate with each other via communication bus 408.

[0115] Communication interface 404 is used for network communication with other devices such as clients or other servers.

[0116] The processor 402 is used to execute program 410, specifically to execute the relevant steps in the above embodiment of the distributed energy storage method for energy equipment in the power system.

[0117] Specifically, program 410 may include program code that includes computer operation instructions.

[0118] Processor 402 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The terminal may include one or more processors of the same type, such as one or more CPUs; or it may include processors of different types, such as one or more CPUs and one or more ASICs.

[0119] Memory 406 is used to store program 410. Memory 406 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0120] Specifically, program 410 can be used to cause processor 402 to perform the following operations:

[0121] Obtain the energy storage capacity of all storage controllers and matching energy devices, including remaining storage capacity, expected storage capacity, and storage rate;

[0122] The energy devices associated with the storage controller are sorted according to the energy storage capacity, and multiple target energy devices in different batches are determined so that energy storage instructions can be sent to the storage controller according to the batch order.

[0123] When the storage controller starts the energy storage operation of the target energy device according to the batch order, it obtains the storage status of the target energy device and determines the proportion of distributed storage based on the storage status;

[0124] If the proportion of distributed storage does not match the preset proportion threshold, a distributed storage warning message will be generated.

[0125] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing systems. They can be centralized on a single computing system or distributed across a network of multiple computing systems. Optionally, they can be implemented using program code executable by a computing system, thereby storing them in a storage system for execution by the computing system. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0126] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for distributed energy storage of energy devices in a power system, characterized in that, include: Obtain the energy storage capacity of all storage controllers and matching energy devices, including remaining storage capacity, expected storage capacity, and storage rate; The energy devices associated with the storage controller are sorted according to the energy storage capacity, and multiple target energy devices in different batches are determined so that energy storage instructions can be sent to the storage controller according to the batch order. When the storage controller starts the energy storage operation of the target energy device according to the batch order, it obtains the storage status of the target energy device and determines the distributed storage ratio based on the storage status. The distributed storage ratio is the ratio of the energy status of the current batch to that of the historical batch, which is used to reflect whether the storage status of the current batch is normal. If the proportion of distributed storage does not match the preset proportion threshold, a distributed storage warning message is generated. The energy devices are distributed in different load consumption areas, and each load consumption area is equipped with a number of energy devices that match the load consumption coefficient. The load consumption coefficient is used to characterize the extent to which the load devices draw energy from the energy devices for consumption. The step of sorting the energy devices associated with the storage controller according to the energy storage capacity and determining multiple target energy devices in different batches includes: The energy storage ranking level of the energy device is obtained by using the remaining storage capacity, the expected storage capacity, the storage rate, the energy device usage time, and the load consumption frequency to predict the energy storage capacity of the energy device. The ranking level includes a first ranking level, a second ranking level, and a third ranking level. Based on the load consumption coefficient, the extreme value of the number of energy devices to be stored simultaneously in the load consumption area is determined, and batches are selected from the energy storage sorting level according to the extreme value of the number of energy devices, and the batch sorting and target energy devices of different batch sorting are determined.

2. The method according to claim 1, characterized in that, The step of obtaining the energy storage capacity of all energy devices matched by the storage controller records includes: Query requests are sent to multiple connected storage controllers so that the storage controllers can query the energy storage capacity of multiple associated energy devices.

3. The method according to claim 2, characterized in that, The step of selecting batches from the energy storage ranking levels according to the extreme values ​​of the energy equipment quantity, and determining the batch ranking and the target energy equipment for different batch rankings, includes: If the number of energy devices in the first ranking level is less than the extreme value of the number of energy devices, then the energy devices in the first and second ranking levels are determined as the first batch, the energy devices in the third ranking level are determined as the second batch, and the corresponding target energy devices are determined; or, If the number of energy devices in the first ranking level is greater than the extreme value of the number of energy devices, then the first batch of target energy devices is selected from the energy devices in the first ranking level according to the extreme value of the number of energy devices, and the remaining energy devices in the first ranking level and the energy devices in the second ranking level are determined as the second batch of target energy devices.

4. The method according to claim 3, characterized in that, The method further includes: The first target storage controller corresponding to the first batch of target energy devices is determined, a first energy storage command is sent to the first target storage controller according to the first energy storage conditions, and storage status information is recorded, including time information, energy storage capacity and device status information; When the storage status information matches the second energy storage condition, the second target storage controller corresponding to the target energy equipment in the second batch is determined, and the second energy storage command is sent.

5. The method according to claim 1, characterized in that, Determining the proportion of distributed storage based on the storage status includes: Analyze the current storage amount, current storage duration, historical storage amount, and historical storage duration in the storage status; The proportion of distributed storage is calculated based on the ratio between the current storage volume and the current storage duration and the historical storage volume and the historical storage duration.

6. A distributed energy storage system for energy equipment in a power system, characterized in that, include: The acquisition module is used to acquire the energy storage capacity of all energy devices matched by the storage controller records. The energy storage capacity includes the remaining storage capacity, the expected storage capacity, and the storage rate. The sorting module is used to sort the energy devices associated with the storage controller according to the energy storage capacity, and to determine multiple target energy devices in different batches, so as to send energy storage instructions to the storage controller according to the batch sorting. The determination module is used to obtain the storage status of the target energy device when the storage controller starts the energy storage operation of the target energy device according to the batch order, and determine the distributed storage ratio based on the storage status. The distributed storage ratio is the ratio of the energy status of the current batch to that of the historical batches, which is used to reflect whether the storage status of the current batch is normal. The generation module is used to generate a distributed storage warning message when the proportion of distributed storage does not match a preset proportion threshold. The energy devices are distributed in different load consumption areas, and each load consumption area is equipped with a number of energy devices that match the load consumption coefficient. The load consumption coefficient is used to characterize the extent to which the load devices draw energy from the energy devices for consumption. The sorting module includes: The prediction unit is used to predict the storage capacity of the energy device using the remaining storage capacity, the expected storage capacity, the storage rate, the energy device usage time, and the load consumption frequency, and to obtain the energy storage ranking level of the energy device. The ranking level includes a first ranking level, a second ranking level, and a third ranking level. The screening unit is used to determine the extreme value of the number of energy devices to be stored simultaneously in the load consumption area based on the load consumption coefficient, and to screen batches from the energy storage sorting level according to the extreme value of the number of energy devices, and to determine the batch sorting and the target energy devices for different batch sortings.

7. A storage medium storing at least one executable instruction that causes a processor to perform an operation corresponding to the distributed energy storage method of an energy device in a power system as described in any one of claims 1-5.

8. A terminal, comprising: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the distributed energy storage method of energy equipment in a power system as described in any one of claims 1-5.

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