Distributed energy storage method and system for energy equipment in power system

Abstract

The invention discloses a distributed energy storage method for energy equipment in a power system, and relates to the technical field of power systems. The problems that existing energy storage efficiency is low, and energy storage requirements in extreme storage scenes cannot be met are mainly solved. The method mainly comprises the steps that the energy storage amount of matched energy equipment recorded by all storage controllers is obtained, and the energy storage amount comprises the residual storage amount, the expected storage amount and the storage rate; performing energy storage sorting on the energy devices associated with the storage controller according to the energy storage amount, and determining a plurality of target energy devices in different batch sorting so as to send an energy storage instruction to the storage controller according to the batch sorting; when the storage controller starts the energy storage operation of the target energy equipment according to the batch sequence, the storage state of the target energy equipment is obtained, and a distributed storage proportion is determined based on the storage state; and when the distributed storage proportion is not matched with the preset proportion threshold, generating distributed storage early warning information. The method is mainly used for energy distributed storage.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and particularly to a distributed energy storage method and system for energy devices in a power system. Background Art

[0002] As an execution system for electric energy production, electric energy transmission, and electric energy consumption, when electric energy is generated by a generator, it is not directly used at the consumer end of the load, but needs to be stored for retrieval when needed.

[0003] Currently, electric energy, which is the existing electric power energy, is usually stored one by one in energy devices and retrieved one by one from the fully stored energy devices during use. However, storing energy one by one will slow down the energy storage speed of electric energy. When the electric energy is too large or the allowable charging time is short, effective energy storage cannot be achieved. 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, mainly aiming at the problem that the existing energy storage efficiency is low and cannot meet the energy storage requirements in extreme storage scenarios.

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

[0006] Obtaining the energy storage amounts of energy devices recorded by all storage controllers, where the energy storage amounts include remaining storage amounts, expected storage amounts, and storage rates;

[0007] Sorting the energy storage of the energy devices associated with the storage controllers according to the energy storage amounts, and determining multiple target energy devices sorted in different batches, so as to send energy storage instructions to the storage controllers according to the batch sorting;

[0008] When the storage controller starts the energy storage operation of the target energy device according to the batch sorting, obtaining the storage state of the target energy device and determining the distributed storage ratio based on the storage state;

[0009] When the distributed storage ratio does not match the preset ratio threshold, generating a distributed storage warning message.

[0010] Further, the obtaining the energy storage amounts of energy devices recorded by all storage controllers includes:

[0011] Sending a query request to multiple connected storage controllers to enable the storage controllers to query the energy storage amounts of multiple associated energy devices;

[0012] Among them, the energy devices are distributed in different load consumption areas, and the number of energy devices matching the load consumption coefficient is set in each load consumption area. The load consumption coefficient is used to characterize the degree to which the load device retrieves and consumes energy from the energy devices.

[0013] Further, the energy storage ranking of the energy devices associated with the storage controller is performed according to the energy storage amount, and determining multiple target energy devices for different batch rankings includes:

[0014] Performing storage prediction on the energy devices by using the remaining storage amount, the expected storage amount, the storage rate, the energy device usage duration, and the load consumption frequency, to obtain the energy storage ranking levels of the energy devices. The ranking levels include the first ranking level, the second ranking level, and the third ranking level;

[0015] Based on the load consumption coefficient, determining the extreme value of the amount of energy devices for simultaneous storage in the load consumption area, and screening batches from the energy storage ranking levels according to the extreme value of the amount of energy devices, to determine the batch ranking and the target energy devices for different batch rankings.

[0016] Further, the screening batches from the energy storage ranking levels according to the extreme value of the amount of energy devices, to determine the batch ranking and the target energy devices for different batch rankings includes:

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

[0018] If the number of the energy devices at the first ranking level is greater than the extreme value of the amount of energy devices, then screening the target energy devices of the first batch from the energy devices at the first ranking level according to the extreme value of the amount of energy devices, and determining the remaining energy devices at the first ranking level and the energy devices at the second ranking level as the target energy devices of the second batch.

[0019] Further, the method further includes:

[0020] Determining the first target storage controller corresponding to the target energy devices of the first batch, sending a first energy storage instruction to the first target storage controller according to the first energy storage condition, and recording the storage status information. The storage status information includes time information, energy storage amount, and device status information;

[0021] When the storage status information matches the second energy storage condition, then determining the second target storage controller corresponding to the target energy devices of the second batch, and sending a second energy storage instruction.

[0022] Further, determining the distributed storage proportion based on the storage state includes:

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

[0024] The distributed storage ratio is calculated according to the ratio between the current storage amount, the current storage duration and the historical storage amount, the historical storage duration.

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

[0026] An acquisition module, used for acquiring energy storage capacity of all storage controller records matching energy devices, wherein the energy storage capacity includes remaining storage capacity, expected storage capacity and storage rate;

[0027] A sorting module, used to sort the energy storage of the energy devices associated with the storage controller according to the energy storage amount, and determine a plurality of target energy devices sorted in different batches, so as to send energy storage instructions to the storage controller according to the batch sorting;

[0028] A determination module, configured to obtain a storage state 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 a distributed storage proportion based on the storage state;

[0029] A generation module is used to generate distributed storage warning information when the distributed storage ratio does not match a preset ratio 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 query the energy storage capacity of multiple associated energy devices; wherein the energy devices are distributed in different load consumption areas, and each of the load consumption areas is provided with a number of energy devices matching a load consumption coefficient, and the load consumption coefficient is used to characterize the degree to which the load device consumes energy from the energy device.

[0032] Furthermore, the sorting module includes:

[0033] A prediction unit, configured to perform storage prediction on the energy device by using the remaining storage amount, the expected storage amount, the storage rate, the usage duration of the energy device, and the load consumption frequency, so as to obtain the energy storage sorting level of the energy device, where the sorting level includes a first sorting level, a second sorting level, and a third sorting level;

[0034] A screening unit, configured to determine the extreme value of the amount of energy devices for simultaneous storage in the load consumption area based on the load consumption coefficient, and screen batches from the energy storage sorting level according to the extreme value of the amount of energy devices, so as to determine the batch sorting and the target energy devices of different batch sortings.

[0035] Further, in a specific application scenario, the screening unit is specifically configured to, if the number of the energy devices at the first sorting level is less than the extreme value of the amount of energy devices, determine the energy devices at the first sorting level and the second sorting level as the first batch, determine the energy devices at the third sorting level as the second batch, and determine the corresponding target energy devices; or, if the number of the energy devices at the first sorting level is greater than the extreme value of the amount of energy devices, screen the target energy devices of the first batch from the energy devices at the first sorting level according to the extreme value of the amount of energy devices, and determine the remaining energy devices at the first sorting level and the energy devices at the second sorting level as the target energy devices of the second batch.

[0036] Further, the system further includes:

[0037] A first sending module, configured to determine a first target storage controller corresponding to the target energy devices of the first batch, send a first energy storage instruction to the first target storage controller according to a first energy storage condition, and record storage status information, where the storage status information includes time information, stored energy amount, and device status information;

[0038] A second sending module, configured to, when the storage status information matches a second energy storage condition, determine a second target storage controller corresponding to the target energy devices of the second batch, and send a second energy storage instruction.

[0039] Further, the determination module includes:

[0040] An analysis unit, configured to analyze the current stored energy amount, the current storage duration, the historical stored energy amount, and the historical storage duration in the storage status;

[0041] A calculation unit, configured to calculate a distributed storage ratio according to the ratio between the current stored energy amount, the current storage duration and the historical stored energy amount, the historical storage duration.

[0042] According to another aspect of the present invention, there is provided a storage medium in which at least one executable instruction is stored, and the executable instruction causes a processor to perform operations corresponding to the above data query method.

[0043] According to still another aspect of the present invention, there is provided a terminal, including: a processor, a memory, a communication interface, and a communication bus. The processor, the memory, and the communication interface complete communication with each other through the communication bus;

[0044] The memory is used to store at least one executable instruction, and the executable instruction causes the processor to perform operations corresponding to the above data query method.

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

[0046] The present invention provides a distributed energy storage method and system for energy devices in a power system. In the embodiments of the present invention, by obtaining the energy storage amounts of all storage controllers that record matching energy devices, the energy storage amounts include remaining storage amounts, expected storage amounts, and storage rates; sorting the energy devices associated with the storage controllers according to the energy storage amounts, and determining multiple target energy devices sorted in different batches, so as to send energy storage instructions to the storage controllers according to the batch sorting; when the storage controllers start the energy storage operations of the target energy devices according to the batch sorting, obtaining the storage status of the target energy devices, and determining the distributed storage ratio based on the storage status; when the distributed storage ratio does not match a preset ratio threshold, generating a distributed storage warning information. By sorting the energy devices in batches and performing energy storage according to the batch sorting, while adapting to different energy storage scenarios and flexibly arranging the energy storage order, parallel energy storage of energy devices under safe conditions is realized, thereby improving the energy storage efficiency.

[0047] The above description is only an overview of the technical solutions of the present invention. In order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of the present invention more obvious and understandable, the following specifically describes the embodiments of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings: Figure 1Shows a flowchart of a distributed energy storage method for energy devices in a power system provided by an embodiment of the present invention; Figure 2 Shows a flowchart of another distributed energy storage method for energy devices in a power system provided by an embodiment of the present invention; Figure 3 Shows a block diagram of a distributed energy storage system for energy devices in a power system provided by an embodiment of the present invention; Figure 4 Shows a schematic structural diagram of a terminal provided by an embodiment of the present invention. Detailed implementation manners

[0052] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art.

[0053] An embodiment of the present invention provides a distributed energy storage method for energy devices in a power system. As Figure 1 shown, the method includes:

[0054] 101. Obtain the energy storage amounts of all storage controllers that record matching energy devices.

[0055] In an embodiment of the present invention, the power system includes multiple energy devices for energy storage, and storage controllers associated and configured with each energy device. The correspondence between the storage controller and the energy device is one-to-many, that is, one storage controller is associated with two or more energy devices to centrally control the energy devices associated therewith. Specifically, one storage controller can be configured for one power plant or one energy consumption area to control all the energy devices in the power plant or energy consumption area where it is located. The current execution entity can be a main controller that processes the records of all storage controllers in the power system, which can be a cloud server or a local server arranged in a power station, or a certain storage controller specified in the storage controller. The embodiment of the present invention does not make a specific limitation.

[0056] During the distributed energy storage process of energy devices, a storage controller is used to receive an energy storage instruction issued by a current execution entity, and control the energy storage process of each associated energy device according to this instruction. For example, it controls energy storage parameters such as storage start, storage stop, and storage duration. In addition, the storage controller is also used to record in real time the energy storage amount of the associated energy device, including the remaining storage amount, the expected storage amount, and the storage rate. Since there are multiple energy devices in the power system, different energy devices need to be controlled in batches and sub - batches according to a certain control strategy for energy storage. In order to determine a better distributed energy storage method, it is necessary to obtain the energy storage amounts matching each energy device from the storage controllers corresponding to all energy devices in the power system for subsequent analysis and decision - making of the energy storage plan. Among them, the storage controller can be a server, a computer device, etc., and the embodiments of the present invention do not make specific limitations.

[0057] 102. Sort the energy devices associated with the storage controller according to the energy storage amount, and determine multiple target energy devices for different batch sorts, so as to send an energy storage instruction to the storage controller according to the batch sort.

[0058] In the embodiments of the present invention, after obtaining the real - time energy storage amount corresponding to each energy device, sort according to the energy storage amount, and then divide the energy devices in the sorted sequence into multiple batches, that is, obtain multiple different batch sorts. The energy devices in each batch sort are the target energy devices for the current batch. After determining the target energy devices in different batch sorts, send an energy storage instruction to the storage controller associated with each target energy device, so that each target energy device can perform energy storage batch by batch and sub - batch according to the batch sort. It should be noted that the target energy devices in a batch sort can perform energy storage simultaneously, and the target energy devices in different batch sorts perform storage according to the sorting order. The switching time between different batch sorts can be when the storage state of the target energy devices in the current batch sort meets the switching condition, and the target energy devices in the next batch sort start energy storage. Among them, the switching condition can be customized according to requirements, such as each average storage ratio being higher than 90%, and the embodiments of the present invention do not make specific limitations.

[0059] Specifically, since the energy storage amount includes several parameters such as the remaining storage amount, the expected storage amount, and the storage rate, sorting can be performed based on one or more of them. Under normal circumstances, sorting is performed in ascending order of the remaining storage amount. The sorting order of energy devices with relatively low energy storage amounts is more forward, and the sorting order of energy devices with relatively high energy storage amounts is more backward. After determining the sorting, batch division is then carried out. The number of each batch can be determined based on the number of energy devices that are allowed to operate simultaneously in the current load consumption area. After obtaining multiple different batch sortings, the more forward the sorting order of the energy devices included in the batch, the more forward the energy storage order of its corresponding batch, so as to be able to store for energy devices with lower remaining storage amounts first. When the remaining storage amounts of all energy devices are not less than the corresponding thresholds, that is, when the power storage is sufficient, calculate the difference between the expected storage amount and the remaining storage amount as the allowable storage amount, and sort in descending order of the allowable storage amount, and then perform batch division to obtain multiple different batch sortings, so as to be able to charge energy devices with large received energy amounts first. When the remaining storage amounts of more than half of the energy devices among all energy devices are lower than the corresponding thresholds, the energy devices can be comprehensively sorted according to the remaining storage amount and the storage rate to obtain a comprehensive sorting sequence, and then batch division is carried out, that is, energy devices with similar expected charging durations in the sequence are divided into one batch. Among them, the comprehensive sorting can be to arrange the remaining storage amounts in ascending order, arrange the storage rates in descending order, and then perform a weighted average of the sorting order of the remaining storage amount corresponding to an energy device and the sorting order of the storage rate, and sort in ascending order according to the weighted average value of the order to obtain a new sorting sequence. If there are ties, the multiple tied energy devices can be sorted on a small scale according to the lowest remaining storage amount. The expected charging duration can be obtained by calculating the difference between the expected storage amount and the remaining storage amount to get the allowable storage amount, and then determining the storage duration according to the ratio of the allowable storage amount to the storage rate. Among all energy devices, when the remaining storage amounts of more than half of the energy devices are lower than the corresponding thresholds, it indicates that it is urgent to charge multiple energy devices. By comprehensively sorting by combining the storage rate and the remaining storage amount, energy devices with shorter charging times can be charged first, thereby improving the charging efficiency of the overall energy devices and quickly alleviating the problem of insufficient energy storage.

[0060] By sorting according to the energy storage amount and obtaining different batch sortings, it is possible to perform batch-by-batch energy storage according to the real-time situation of the energy devices, and while enabling multiple energy devices to store simultaneously, it can also meet the requirements of different energy device storage scenarios, thereby improving the energy storage efficiency and meeting the energy storage requirements in extreme storage scenarios.

[0061] 103. When the storage controller starts the energy storage operation of the target energy device according to the batch sorting, obtain the storage status of the target energy device, and determine the distributed storage ratio based on the storage status.

[0062] In the embodiment of the present invention, after the storage controller controls the target energy device to perform the energy storage operation according to the received energy storage instruction, it is also necessary to monitor the storage status of the target energy device to determine the distributed storage ratio. Among them, the storage status is the overall storage situation of the target energy device in the currently executing batch of energy storage. For example, the storage duration, storage capacity, and device operation status of all target energy devices in the current batch, etc. The distributed storage ratio is the ratio of the energy status of the current batch to the historical batch, and is used to reflect whether the storage status of the current batch is normal. Among them, the storage status of the historical batch can be the average value 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 can be customized according to actual application requirements, and the embodiment of the present invention does not make specific limitations.

[0063] 104. When the distributed storage ratio does not match the preset ratio threshold, generate a distributed storage warning message.

[0064] In the embodiment of the present invention, the distributed storage ratio reflects the storage status. For example, if the ratio of the current storage capacity to the historical storage capacity is too large, it may cause the energy device to overheat or operate beyond the rated specifications; if the ratio of the current storage duration to the historical storage duration exceeds the corresponding threshold, it may cause energy waste; if the ratio of the operating parameters of the current energy device to the operating parameters of the historical energy device exceeds the corresponding threshold range, it may be that the energy device has a running fault. Therefore, when the distributed storage ratio does not match the preset ratio threshold, it is necessary to generate a distributed storage warning message. Among them, the preset ratio threshold can include multiple thresholds that match different storage data items, and can be specifically customized according to actual needs. The warning message can include the item that does not match the preset ratio threshold for triggering the warning and the specific value that exceeds the preset ratio threshold, so as to provide a more accurate reference basis for on-site monitoring personnel to conduct abnormal analysis and troubleshooting of energy devices.

[0065] In an embodiment of the present invention, for further illustration and limitation, the obtaining of the energy storage capacity of all storage controllers recording matching energy devices includes:

[0066] Send a query request to multiple connected storage controllers, so that the storage controllers query the energy storage capacity of the associated multiple energy devices.

[0067] In an embodiment of the present invention, when it is necessary to obtain the energy storage amount recorded by all storage controllers, the current execution subject needs to send a query request to multiple storage controllers with which there is a communication connection relationship, so that the corresponding storage controller returns the energy storage amount of the energy device associated with it according to the query request. Among them, the energy devices are distributed in different load consumption areas, and each load consumption area is provided with 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 calls energy from the energy device for consumption. If the load device is a large equipment in a heavy industry enterprise, the consumption speed and consumption amount of energy called from the energy device will be relatively large. If the load device is a transmission and small mechanical equipment of a light industry or microelectronics enterprise, the consumption speed and consumption amount of energy called from the energy device will be relatively small. The load consumption coefficient can be updated at a preset time interval, 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, which is not specifically limited in the embodiment of the present invention. 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 utilization.

[0068] In an embodiment of the present invention, for further explanation and limitation, as Figure 2 As shown, the energy storage sorting of the energy devices associated with the storage controller according to the energy storage amount and determining a plurality of target energy devices sorted in different batches includes:

[0069] 201. Perform storage prediction on the energy device by using the remaining storage capacity, the expected storage capacity, the storage rate, the usage time of the energy device, and the load consumption frequency to obtain the energy storage ranking level of the energy device.

[0070] 202. Determine the maximum value of the energy equipment quantity that is stored simultaneously in the load consumption area based on the load consumption coefficient, and filter batches from the energy storage sorting level according to the maximum value of the energy equipment quantity, and determine the batch sorting and target energy equipment of different batch sortings.

[0071] In the embodiments of the present invention, the storage prediction is implemented based on a sorted level prediction model that has completed training. The sorted level prediction model can be a four-layer neural network model constructed based on any one of a fully connected neural network, a recurrent neural network (RNN), or a long short-term memory network (LSTM) as the basic model, including a feature input layer, a first feature fusion layer, a second feature fusion layer, and a feature output layer. This sorted level prediction model that has completed training is obtained by training based on pre-constructed training samples of different sorted levels. The training samples of different sorted levels include training sample data marked with different sorted levels, and the training sample data is combined based on different historical remaining storage amounts, historical expected storage amounts, historical storage rates, historical energy device usage durations, and historical load consumption frequencies. It is trained using the cross-entropy function as the loss function. Among them, the sorted levels include a first sorted level, a second sorted level, and a third sorted level. The first sorted level has the highest priority, and the third sorted level has the lowest priority. The sorted levels can be divided based on the urgency of storage required by different energy devices in different scenarios. In different demand scenarios, the influence weights and directions of each influencing factor on the storage sorted level are different. In a scenario where rapid energy replenishment needs to be completed, the influence weights of the remaining storage amount, load consumption frequency, and storage rate are higher, and the lower the remaining storage amount, and the larger the ratio of the load consumption frequency to the storage rate, the higher the priority corresponding to the sorted level. For example, an energy device with a remaining storage amount of 20%, a load consumption frequency of 50 Hz, and a storage rate of 0.5 has a higher priority for energy storage sorted level than an energy device with a remaining storage amount of 40%, a load consumption frequency of 20 Hz, and a storage rate of 0.3. In a scenario where energy needs to be quickly absorbed, in the scenario of completing rapid energy replenishment, in order to ensure storage speed and safety, the weights of the expected storage amount, storage rate, and energy device usage duration are higher. The higher the expected storage amount and storage rate, the higher the priority, and the shorter the energy device usage duration, the higher the priority. For example, an energy device with an expected storage amount of 2000 KWh and an energy device usage duration of 100 hours has a higher priority for the storage sorted level than an energy device with an expected storage amount of 1000 KWh and an energy device usage duration of 500 hours. In summary, different training sample sets can be constructed according to different scenarios, and the model can be trained based on different training sample sets to obtain a sorted level prediction model that matches different application scenarios. By comprehensively sorting the urgency of energy storage of energy devices based on the above five parameters and predicting the sorted levels according to different application scenarios, it is possible to evaluate the storage priorities of energy devices from multiple dimensions such as energy demand, energy absorption, and storage device safety, thereby obtaining a more comprehensive and accurate sorted level.

[0072] After determining the energy storage sorting level of the energy equipment, it is also necessary to divide the energy storage batches. In the embodiments of the present invention, on the basis of the energy storage sorting level, the energy storage batches are divided according to the extreme value of the energy equipment quantity in the load consumption area where the current storage controller is located. The extreme value of the energy equipment 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 equipment quantity, and the smaller the load consumption coefficient, the smaller the maximum value of the extreme value of the energy equipment quantity. The calculation formula is expressed as:

[0073]

[0074] Among them, b is the base of the energy equipment quantity, γ is the load consumption coefficient, c and d are adjustment parameters, c is a number less than 1, and d is an integer greater than 1. The specific values can be customized according to the scenario requirements. After obtaining the extreme value of the energy equipment quantity, the energy equipment of different energy storage sorting levels is screened according to the quantity range defined by the maximum value and the minimum value in the extreme value of the energy equipment quantity.

[0075] In an embodiment of the present invention, for further illustration and limitation, screening batches from the energy storage sorting level according to the extreme value of the energy equipment quantity, determining the batch sorting and the target energy equipment of different batch sortings includes:

[0076] If the number of the energy equipment of the first sorting level is less than the minimum value of the extreme value of the energy equipment quantity, the energy equipment of the first sorting level and the second sorting level are determined as the first batch, the energy equipment of the third sorting level is determined as the second batch, and the corresponding target energy equipment is determined; or,

[0077] If the number of the energy equipment of the first sorting level is greater than the maximum value of the extreme value of the energy equipment quantity, the target energy equipment of the first batch is screened from the energy equipment of the first sorting level according to the extreme value of the energy equipment quantity, and the remaining energy equipment of the first sorting level and the energy equipment of the second sorting level are determined as the target energy equipment of the second batch.

[0078] In the embodiments of the present invention, through energy storage prediction, all energy devices can be divided into a first sorting level to a third sorting level, that is, each sorting level corresponds to multiple energy devices. When the number of energy devices at the first sorting level is less than the extreme value of the energy device quantity, the energy devices at the first sorting level and the second sorting level are jointly classified into a first batch, and the third sorting level is classified into a second batch for energy storage. When the number of energy devices at the first sorting level is equal to the extreme value of the energy device quantity, the energy devices at the first sorting level are classified into a first batch, the energy devices at the second sorting level are classified into a second batch, and the energy devices at the third sorting level are classified into a third batch. When the number of energy devices at the first sorting level is greater than the extreme value of the energy device quantity, the energy devices that meet the extreme value of the energy device quantity are selected from the energy devices at the first sorting level as the target energy devices of the first batch, and the remaining energy devices at the first sorting level and the energy devices at the second sorting level are determined as the target energy devices of the second batch, and the energy devices at the third sorting level are determined as the target energy devices of the third batch. Selecting the energy devices that meet the extreme value of the energy device quantity from the energy devices at the first sorting level can specifically be carried out in ascending order of the remaining storage capacity and in the order from front to back until the quantity meets the extreme value of the energy device quantity, and the selected energy devices are used as the target energy devices of the first batch.

[0079] In one embodiment of the present invention, for further illustration and limitation, the method further includes:

[0080] Determine the first target storage controller corresponding to the target energy devices of the first batch, send a first energy storage instruction to the first target storage controller according to the first energy storage condition, and record the storage status information;

[0081] When the storage status information matches the second energy storage condition, determine the second target storage controller corresponding to the target energy devices of the second batch, and send a second energy storage instruction.

[0082] In an embodiment of the present invention, the first energy storage condition is a condition for comparing whether the first target storage controller can start energy storage, which can be customized according to specific application scenarios. For example, whether the operating state of the energy device meets the condition for immediately performing a storage action, whether the previous energy storage is normal, etc. The second energy storage condition is a condition indicating that 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 it, and storage can be stopped and switched to the storage of the next batch of target energy devices. Among them, the storage state information includes time information, stored energy amount, and device state information. Correspondingly, the second energy storage condition can also include at least one of the corresponding time condition, stored energy amount condition, and device state condition. When one or more items in the storage state information meet the corresponding conditions in the second energy storage condition, it is determined that the storage state information matches the second energy storage condition, and a second energy storage instruction can be sent to the second target storage controller. By analogy, 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 between the second energy storage condition and the storage state information of the second target storage controller.

[0083] In an embodiment of the present invention, for further illustration and limitation, the determining the distributed storage ratio based on the storage state includes:

[0084] Analyze the current stored energy amount, current storage duration, historical stored energy amount, and historical storage duration in the storage state;

[0085] Calculate the distributed storage ratio according to the ratio between the current stored energy amount, current storage duration and the historical stored energy amount, historical storage duration.

[0086] In an embodiment of the present invention, the storage state of the target energy device includes both the stored energy amount (current stored energy amount) of the current batch storage and the storage duration (current storage duration) of the current batch, as well as the historical stored energy amount and historical storage duration within the historical time period. The historical stored energy amount and historical storage duration can represent the average single - storage stored energy amount and storage duration under the historical normal operating state of the target energy device. The ratio of the stored energy amount and storage duration of the current storage to the historical stored energy amount and historical storage duration can characterize whether the storage process of the current storage is normal. If the ratio is too large, it indicates that the stored energy amount is too large and the storage time is too long. If the ratio is too small, it indicates that the storage may have been accidentally interrupted. Specifically, the calculation formula for the distributed storage ratio ε is expressed as:

[0087]

[0088] Where L x is the stored energy amount of the current storage, t x is the storage duration of the current storage, L h is the historical stored energy amount, th is the historical storage duration. The historical time period can be one week, one month, etc., which is specifically customized according to application requirements and is not specifically limited in the embodiments of the present invention.

[0089] The present invention provides a distributed energy storage method for energy devices in a power system. In the embodiments of the present invention, by obtaining the energy storage amounts of all storage controllers for recording matching energy devices, the energy storage amounts include remaining storage amounts, expected storage amounts, and storage rates; sorting the energy devices associated with the storage controllers according to the energy storage amounts, and determining multiple target energy devices sorted in different batches, so as to send energy storage instructions to the storage controllers according to the batch sorting; when the storage controllers start the energy storage operations of the target energy devices according to the batch sorting, obtaining the storage status of the target energy devices, and determining the distributed storage ratio based on the storage status; when the distributed storage ratio does not match the preset ratio threshold, generating a distributed storage warning message. By sorting the energy devices in batches and performing energy storage according to the batch sorting, while flexibly arranging the energy storage order to adapt to different energy storage scenarios, parallel energy storage of energy devices under safe conditions is realized, thereby improving the energy storage efficiency.

[0090] Further, as an implementation of the above Figure 1 shown method, the embodiments of the present invention provide a distributed energy storage system for energy devices in a power system, as Figure 3 shown, the system includes:

[0091] An acquisition module 31, configured to obtain the energy storage amounts of all storage controllers for recording matching energy devices, the energy storage amounts including remaining storage amounts, expected storage amounts, and storage rates;

[0092] A sorting module 32, configured to sort the energy devices associated with the storage controllers according to the energy storage amounts, and determine multiple target energy devices sorted in different batches, so as to send energy storage instructions to the storage controllers according to the batch sorting;

[0093] A determination module 33, configured to obtain the storage status of the target energy devices when the storage controllers start the energy storage operations of the target energy devices according to the batch sorting, and determine the distributed storage ratio based on the storage status;

[0094] A generation module 34, configured to generate a distributed storage warning message when the distributed storage ratio does not match the preset ratio threshold.

[0095] Further, the acquisition module 31 includes:

[0096] A query unit is used to send query requests to multiple connected storage controllers so that the storage controllers query the energy storage capacity of multiple associated energy devices; wherein the energy devices are distributed in different load consumption areas, and each of the load consumption areas is provided with a number of energy devices matching a load consumption coefficient, and the load consumption coefficient is used to characterize the degree to which the load device consumes energy from the energy device.

[0097] Furthermore, the sorting module 32 includes:

[0098] A prediction unit, configured to perform storage prediction on the energy device by using the remaining storage capacity, the expected storage capacity, the storage rate, the usage time of the energy device, and the load consumption frequency, to obtain an energy storage ranking level of the energy device, wherein the ranking level includes a first ranking level, a second ranking level, and a third ranking level;

[0099] A screening unit is used to determine the extreme value of the amount of energy equipment that is 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 amount of energy equipment, and to determine the batch sorting and the target energy equipment of different batch sortings.

[0100] Further, in a specific application scenario, the screening unit is specifically used to, if the number of the energy devices at the first sorting level is less than the extreme value of the energy equipment quantity, determine the energy devices at the first sorting level and the second sorting level as the first batch, determine the energy devices at the third sorting level as the second batch, and determine the corresponding target energy devices; or, if the number of the energy devices at the first sorting level is greater than the extreme value of the energy equipment quantity, screen the target energy devices of the first batch from the energy devices at the first sorting level according to the extreme value of the energy equipment quantity, and determine the remaining energy devices at the first sorting level and the energy devices at the second sorting level as the target energy devices of the second batch.

[0101] Furthermore, the system further comprises:

[0102] a first sending module, used to determine a first target storage controller corresponding to the target energy equipment of the first batch, send a first energy storage instruction to the first target storage controller according to a first energy storage condition, and record storage status information, wherein the storage status information includes time information, storage energy, and equipment status information;

[0103] The second sending module is used to determine the second target storage controller corresponding to the second batch of target energy equipment and send a second energy storage instruction when the storage status information matches the second energy storage condition.

[0104] Furthermore, the determination module 33 includes:

[0105] An analysis unit for analyzing the current storage amount, the current storage duration, the historical storage amount, and the historical storage duration in the storage state;

[0106] A calculation unit for calculating the distributed storage ratio according to the ratio between the current storage amount, the current storage duration, the historical storage amount, and the historical storage duration.

[0107] The present invention provides a system. In an embodiment of the present invention, by obtaining the energy storage amounts of all storage controllers for matching energy devices, the energy storage amounts include the remaining storage amount, the expected storage amount, and the storage rate; sorting the energy devices associated with the storage controllers according to the energy storage amounts, and determining multiple target energy devices for different batch sorts, so as to send energy storage instructions to the storage controllers according to the batch sort; when the storage controllers start the energy storage operations of the target energy devices according to the batch sort, obtaining the storage states of the target energy devices, and determining the distributed storage ratio based on the storage states; when the distributed storage ratio does not match a preset ratio threshold, generating a distributed storage warning message. By sorting the energy devices batch by batch and performing energy storage according to the batch sort, while adapting to different energy storage scenarios and flexibly arranging the energy storage order, parallel energy storage of the energy devices under safe conditions is realized, thereby improving the energy storage efficiency.

[0108] According to an embodiment of the present invention, a storage medium stores at least one executable instruction, and the computer executable instruction can execute the data query method in any of the above method embodiments.

[0109] Figure 4 The structural schematic diagram of a terminal provided according to an embodiment of the present invention is shown. The specific implementation of the terminal in the specific embodiment of the present invention is not limited.

[0110] As Figure 4 shown, the terminal may include: a processor 402, a communication interface 404, a memory 406, and a communication bus 408.

[0111] Wherein: the processor 402, the communication interface 404, and the memory 406 communicate with each other through the communication bus 408.

[0112] The communication interface 404 is used for network communication with other devices such as clients or other servers, etc.

[0113] A processor 402 is configured to execute a program 410, and specifically may execute relevant steps in the data query method embodiments described above.

[0114] Specifically, the program 410 may include program code, and the program code includes computer operation instructions.

[0115] The processor 402 may be a central processing unit (CPU), or a specific integrated circuit (ASIC) (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention. One or more processors included in the terminal may be of the same type of processor, such as one or more CPUs; or may be of different types of processors, such as one or more CPUs and one or more ASICs.

[0116] A memory 406 is configured to store the program 410. The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory.

[0117] The program 410 is specifically configured to cause the processor 402 to perform the following operations:

[0118] Obtain all storage controller records matching the energy storage amount of the energy device, where the energy storage amount includes the remaining storage amount, the expected storage amount, and the storage rate;

[0119] Sort the energy devices associated with the storage controller according to the energy storage amount, and determine multiple target energy devices sorted in different batches, so as to send energy storage instructions to the storage controller according to the batch sorting;

[0120] When the storage controller starts the energy storage operation of the target energy device according to the batch sorting, obtain the storage state of the target energy device, and determine the distributed storage ratio based on the storage state;

[0121] When the distributed storage ratio does not match a preset ratio threshold, generate a distributed storage warning message.

[0122] Obviously, those skilled in the art should understand that the various modules or steps of the present invention described above can be implemented by a general-purpose computing system. They can be centralized on a single computing system or distributed over a network composed of multiple computing systems. Optionally, they can be implemented with program code executable by the computing system, so that they can be stored in the storage system and executed by the computing system. And in some cases, the steps shown or described can be executed in a sequence different from that here, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0123] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A distributed energy storage method for energy equipment in a power system, characterized in that Including: Obtain the energy storage amounts of all storage controllers that record matching energy devices, where the energy storage amounts include remaining storage amounts, expected storage amounts, and storage rates; Perform energy storage sorting on the energy devices associated with the storage controller according to the energy storage amounts, and determine multiple target energy devices for different batch sortings, so as to send energy storage instructions to the storage controller according to the batch sorting; When the storage controller starts the energy storage operation of the target energy device according to the batch sorting, obtain the storage state of the target energy device, and determine the distributed storage ratio based on the storage state; When the distributed storage ratio does not match the preset ratio threshold, generate a distributed storage warning message.

2. The method according to claim 1, characterized in that, The obtaining the energy storage amounts of all storage controllers that record matching energy devices includes: Send a query request to multiple connected storage controllers, so that the storage controllers query the energy storage amounts of multiple associated energy devices; Among them, the energy devices are distributed in different load consumption areas, and the number of energy devices matching the load consumption coefficient is set in each load consumption area, and the load consumption coefficient is used to characterize the degree to which the load device retrieves and consumes energy from the energy device.

3. The method according to claim 2, characterized in that, The performing energy storage sorting on the energy devices associated with the storage controller according to the energy storage amounts, and determining multiple target energy devices for different batch sortings includes: Use the remaining storage amount, the expected storage amount, the storage rate, the energy device usage duration, and the load consumption frequency to perform storage prediction on the energy device, and obtain the energy storage sorting level of the energy device, where the sorting level includes a first sorting level, a second sorting level, and a third sorting level; Determine the extreme value of the amount of energy devices for simultaneous storage in the load consumption area based on the load consumption coefficient, and screen batches from the energy storage sorting level according to the extreme value of the amount of energy devices, and determine the batch sorting and the target energy devices for different batch sortings.

4. The method according to claim 3, characterized in that, The screening batches from the energy storage sorting level according to the extreme value of the amount of energy devices, and determining the batch sorting and the target energy devices for different batch sortings includes: If the number of the energy devices at the first sorting level is less than the extreme value of the amount of energy devices, determine the energy devices at the first sorting level and the second sorting level as the first batch, determine the energy devices at the third sorting level as the second batch, and determine the corresponding target energy devices; or, If the number of the energy devices at the first sorting level is greater than the extreme value of the amount of energy devices, screen the target energy devices of the first batch from the energy devices at the first sorting level according to the extreme value of the amount of energy devices, and determine the remaining energy devices at the first sorting level and the energy devices at the second sorting level as the target energy devices of the second batch.

5. The method according to claim 4, characterized in that, The method further includes: Determine the first target storage controller corresponding to the target energy device of the first batch, send a first energy storage instruction to the first target storage controller according to the first energy storage condition, and record the storage state information, where the storage state information includes time information, stored energy amount, and device state information; When the stored status information matches the second energy storage condition, determine the second target storage controller corresponding to the target energy devices in the second batch, and send a second energy storage instruction.

6. The method according to claim 1, characterized in that, The determining the distributed storage ratio based on the stored status includes: Analyze the current storage amount, current storage duration, historical storage amount, and historical storage duration in the stored status; Calculate the distributed storage ratio according to the ratio between the current storage amount, current storage duration and the historical storage amount, historical storage duration.

7. A distributed energy storage system for energy devices in a power system, characterized in that, It includes: An acquisition module, configured to acquire the energy storage amounts of the energy devices recorded by all storage controllers, where the energy storage amounts include remaining storage amounts, expected storage amounts, and storage rates; A sorting module, configured to perform energy storage sorting on the energy devices associated with the storage controllers according to the energy storage amounts, and determine multiple target energy devices sorted in different batches, so as to send energy storage instructions to the storage controllers according to the batch sorting; A determining module, configured to, when the storage controller starts the energy storage operation of the target energy device according to the batch sorting, acquire the stored status of the target energy device, and determine the distributed storage ratio based on the stored status; A generating module, configured to generate a distributed storage warning message when the distributed storage ratio does not match a preset ratio threshold.

8. A storage medium, in which at least one executable instruction is stored, and the executable instruction causes a processor to perform operations corresponding to the data query method according to any one of claims 1-6.

9. A terminal, comprising: A processor, a memory, a communication interface, and a communication bus, where the processor, the memory, and the communication interface complete communication with each other through the communication bus; The memory is used to store at least one executable instruction, and the executable instruction causes the processor to perform operations corresponding to the data query method according to any one of claims 1-6.

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