A diagnostic method for energy storage, cloud platform equipment, and power system

Abstract

This application discloses a diagnostic method for energy storage, a cloud platform device, and a power system, relating to the field of power electronics technology. The method includes: acquiring planned and actual parameters of the energy storage; determining the operating state of the energy storage based on the offset between the planned and actual parameters; wherein the operating state includes normal operation and a state awaiting diagnosis; responding to the energy storage's operating state being a state awaiting diagnosis, diagnosing the energy storage based on a preset diagnostic direction, and generating a diagnostic result. Based on this application's solution, the energy storage can be automatically diagnosed when its operation is abnormal.

Description

Technical Field

[0001] This application relates to the field of power electronics technology, and in particular to a diagnostic method for energy storage, a cloud platform device, and a power system. Background Technology

[0002] During the rapid development of new power systems, energy storage, as a crucial supporting technology, has also experienced rapid growth. New power systems refer to those that primarily utilize renewable energy sources such as hydropower, wind power, and photovoltaics. These systems include both energy-consuming loads and energy-generating devices like photovoltaic systems. Uncertainties exist on both the generation and consumption sides. This uncertainty arises when energy devices generate a large amount of electricity while user demand on the grid is relatively low; conversely, when users require significant energy consumption, energy devices may be unable to generate sufficient power. Therefore, energy storage is necessary to achieve dynamic balance within the power system.

[0003] Specifically, energy storage is deployed in a distributed manner in new power systems, spanning all stages of generation, grid, and users, and serves as a core link in these systems. Energy storage can be installed on the power source side, grid side, or user side.

[0004] The new power system adopts a cloud platform mechanism. The cloud platform is an internet-based computing platform that collects, stores, and analyzes data from thousands of energy storage devices to provide monitoring, analysis, optimization, early warning, and management services for the new power system. Specifically, the cloud platform can calculate the daily charging and discharging amounts and electricity revenue of energy storage devices, and monitor their operational performance using this data. If a mismatch is detected between the charging and discharging amounts, or if the charging / discharging amounts do not correspond to the electricity revenue, an energy storage anomaly alert will be issued. Generally, upon receiving an energy storage anomaly alert from the cloud platform, professional personnel are dispatched to investigate the energy storage. This maintenance method is costly, and manual investigation relies on the experience of the personnel, resulting in a slow response time.

[0005] The above content is only used to help understand the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0006] The main purpose of this application is to provide a diagnostic method for energy storage, a cloud platform device, and a power system, which are designed to automatically diagnose energy storage when it is not operating normally.

[0007] To achieve the above objectives, this application provides a diagnostic method for energy storage, comprising: acquiring planned parameters and actual parameters of the energy storage; determining the operating state of the energy storage based on the offset between the planned parameters and the actual parameters; wherein the operating state includes normal operation and a state awaiting diagnosis; and, in response to the operating state of the energy storage being the state awaiting diagnosis, diagnosing the energy storage based on a preset diagnostic direction and generating a diagnostic result.

[0008] Optionally, the preset diagnostic directions include at least one of the following: energy storage operation state of charge (SOC) diagnosis, energy storage cell voltage value diagnosis, grid operation power diagnosis, and energy storage operation power diagnosis.

[0009] Optionally, the planned parameters include: planned power, planned charging and discharging of energy storage in each operating segment, and planned total charging and discharging of energy storage in multiple operating segments; the actual parameters include: actual charging and discharging of energy storage in each operating segment, actual total charging and discharging of energy storage in multiple operating segments, and system efficiency of energy storage.

[0010] Optionally, determining the operating status of the energy storage based on the offset between the planned parameters and the actual parameters includes: for the same time period, if the difference between the planned charging amount and the actual charging amount is greater than a preset charging amount deviation, determining that the energy storage charging is abnormal and determining that the operating status of the energy storage is a state to be diagnosed; if the difference between the planned discharging amount and the energy storage discharging amount is greater than a preset discharging amount deviation, determining that the energy storage discharging is abnormal and determining that the operating status of the energy storage is a state to be diagnosed; wherein, the energy storage discharging amount is obtained by dividing the actual discharging amount by the system efficiency.

[0011] Optionally, obtaining the planned parameters for energy storage includes: obtaining the planned power and operating period of the energy storage; calculating the initial planned charging amount and initial planned discharging amount based on the planned power and the operating period; calculating the available charging amount and available discharging amount based on the rated capacity, health status, and depth of charge / discharge of the energy storage; taking the smaller value between the initial planned charging amount and the available charging amount as the planned charging amount, and taking the smaller value between the initial planned discharging amount and the available discharging amount as the planned discharging amount; obtaining the total planned charging amount based on the planned charging amount over multiple time periods, and obtaining the total planned discharging amount based on the planned discharging amount over multiple time periods.

[0012] Optionally, the energy storage operation SOC diagnosis includes: obtaining the energy storage operation SOC, the upper limit of SOC, and the lower limit of SOC; if the energy storage operation SOC is equal to the upper limit of SOC, or if the energy storage operation SOC is equal to the lower limit of SOC, determining that the energy storage SOC setting is abnormal.

[0013] The energy storage cell voltage value diagnosis includes: determining the maximum and minimum voltage values ​​of the cells in the energy storage, and obtaining the upper and lower operating limits of the cell voltage; if the maximum voltage value of the cell is equal to the upper operating limit of the cell voltage, and / or if the minimum voltage value of the cell is equal to the lower operating limit of the cell voltage; determining that the energy storage cell voltage setting is abnormal.

[0014] The power grid operating power diagnosis includes: obtaining the power grid operating power, the upper limit of the power grid operating power, and the deviation of the power grid operating power; if the difference between the upper limit of the power grid operating power and the power grid operating power is greater than the deviation of the power grid operating power, the power grid power constraint is determined.

[0015] The energy storage operation power diagnosis includes: obtaining the energy storage operation power, the upper limit of the energy storage operation power, and the lower limit of the energy storage operation power; if the energy storage operation power is equal to the upper limit of the energy storage operation power, or if the energy storage operation power is equal to the lower limit of the energy storage operation power; determining the energy storage operation power constraint.

[0016] Optionally, after diagnosing the energy storage based on a preset diagnostic direction and generating diagnostic results, the method further includes: generating prompt information based on the diagnostic results; wherein the prompt information includes at least one of the following: abnormal energy storage SOC setting, abnormal energy storage cell voltage setting, grid power constraint, and energy storage operating power constraint.

[0017] Optionally, determining the operating status of the energy storage based on the offset between the planned parameters and the actual parameters includes: if the difference between the planned total discharge and the actual total discharge is greater than a preset total discharge deviation, determining that the energy storage is discharging abnormally and determining that the operating status of the energy storage is in a state to be diagnosed; if the difference between the planned total charging and the actual total charging is greater than a preset total charging deviation, determining that the energy storage is charging abnormally and determining that the operating status of the energy storage is in a state to be diagnosed.

[0018] In addition, to achieve the above objectives, this application also provides a cloud platform device, including: a memory and one or more processors, wherein the memory and the processors are coupled; wherein the memory is used to store computer program code, the computer program code including computer instructions, and when the processor executes the computer instructions, the cloud platform device performs the method in any of the above optional methods.

[0019] Furthermore, to achieve the above objectives, this application also provides a power system comprising: a transformer, an energy storage system, a load, and a photovoltaic system, wherein the transformer is connected to the energy storage system, the load, and the photovoltaic system via a power distribution line; the energy storage system comprises: a controller and energy storage, wherein the controller is coupled to the energy storage; the energy storage is used for charging or discharging, and the controller is used to perform a method from any of the above optional methods to diagnose the energy storage.

[0020] This application proposes a diagnostic method for energy storage. Based on planned and actual parameters, the operating status of the energy storage can be determined. When the operating status is confirmed to be in a state requiring diagnosis, the energy storage is diagnosed to determine whether an anomaly has occurred and the cause of the anomaly. This automatic diagnostic method can promptly detect abnormal states in the energy storage and perform timely diagnosis, improving response speed and, to a certain extent, maintaining the continuous and stable operation of the distribution area. Attached Figure Description

[0021] Figure 1 This application provides a schematic diagram of the structure of a transformer substation power supply system according to an embodiment of the present application.

[0022] Figure 2 A schematic diagram of the structure of a power system provided in this application embodiment;

[0023] Figure 3 A flowchart illustrating a diagnostic method for energy storage provided in an embodiment of this application;

[0024] Figure 4 A flowchart for calculating planned charging and planned discharging amounts is provided for embodiments of this application.

[0025] Figure 5 A flowchart for determining the operating status of energy storage is provided in an embodiment of this application;

[0026] Figure 6 This is a schematic diagram of the structure of a cloud platform device provided in an embodiment of this application;

[0027] Figure 7 This is a schematic block diagram of another power system provided as an embodiment of this application.

[0028] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] In this invention, unless otherwise explicitly specified and limited, the terms "connection," "fixed," etc., should be interpreted broadly. For example, "fixed" can mean a fixed connection, a detachable connection, or an integral part; it can mean a mechanical connection or an electrical connection; it can mean a direct connection or an indirect connection through an intermediate medium; it can mean the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0031] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the meaning of "and / or" throughout the text includes three parallel solutions; for example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied simultaneously. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0032] For a power system, if its primary energy source is renewable resources such as wind and solar power, its energy supply side will inevitably exhibit a certain degree of randomness or volatility. Taking solar power as an example, if a power system includes solar photovoltaic (PV) equipment, the equipment will only generate electricity under specific sunlight conditions, with the highest output rate occurring at midday when sunlight is strongest. If sunlight conditions are poor, the electricity generated by the PV equipment will decrease; this is the volatility and randomness of the supply side. On the user side, when the power output on the supply side is high, there may not be high demand for electricity, leading to a conflict between user demand and energy supply. Appropriately incorporating energy storage into the power system can maintain its stable, economical, and efficient operation.

[0033] Therefore, as an important component of the power system, energy storage can redistribute electrical energy in time and space, and also maintain the balance between the power supply side and the user side.

[0034] The structure of the power system involved in the embodiments of this application will be described in detail below.

[0035] The power system comprises a cloud platform and distribution transformer substations. The cloud platform can communicate with multiple distribution transformer substations to acquire and analyze their data, providing optimization suggestions and early warnings for each substation. Distribution transformer substations can include power plants, substations, distribution lines, energy storage, photovoltaic systems, and loads. These substation substations can operate automatically and maintain grid stability based on energy storage. Simultaneously, they can send real-time grid data to the cloud platform and receive control strategies from the platform.

[0036] It should be noted that after receiving real-time data from the power distribution system, the cloud platform can analyze this data and provide control strategies. The cloud platform generally does not send explicit control commands to the power distribution system, such as turning on a device or stopping a device. For example, the cloud platform can send operating strategies to the power distribution system, such as, "Tomorrow's peak hours are 14:00-16:00; please discharge at 500kW during this period."

[0037] Please refer to Figure 1 This is a schematic diagram of a transformer substation power supply system provided in an embodiment of this application. Figure 1 As shown, the power supply system 100 of this distribution area includes: transformer 10, energy storage system 20, N loads 30 and N photovoltaic units 40.

[0038] Transformer 10 serves as the "center" of the distribution area, transmitting electrical energy to loads 1 through N via power distribution lines, and also acquiring electrical energy generated by photovoltaic panels 1 through N via power distribution lines. The energy storage system 20 includes an AC meter 21, energy storage unit 22, and a distribution box 23. The AC meter 21 samples voltage and current, and then uses a built-in power calculation module to determine the corresponding power data, such as calculating the real-time operating power of the transformer. The distribution box 23 includes a grid-connected switch, metering meters, and a smart distribution terminal.

[0039] In some implementations, energy storage 22, as a distributed energy storage system, can be set up in multiple locations within the distribution network. Additionally, energy storage 22 can also have a built-in controller that can acquire and adjust the real-time operating power of energy storage 22.

[0040] It should be understood that the aforementioned energy storage, load, and photovoltaic can also be described as energy storage unit, load unit, and photovoltaic unit, respectively. For ease of description, they will be referred to as energy storage, load, and photovoltaic, respectively, below.

[0041] Please refer to Figure 2 This is a schematic diagram of a power system provided in an embodiment of this application. Figure 2 As shown, the power system includes a distribution area power supply system 100 and a cloud platform 200. The cloud platform 200 is used to analyze and optimize the acquired data, generate control strategies, and distribute the control strategies to the controller 50 of the distribution area power supply system 100. The controller 50 can upload data to the cloud platform.

[0042] It should be understood that electricity is a commodity in the electricity market, and electricity prices fluctuate over time. Therefore, energy storage in the power system is crucial. Energy storage can charge ("buying") during low prices and discharge ("selling") during high prices. This model exists because the difference between peak and off-peak electricity demand in the power system leads to significant price differences. In summary, in commercial energy storage applications, operating strategies based on time-of-use pricing can achieve charging during off-peak hours and discharging during peak hours, enabling the commercial operation of electricity.

[0043] In scenarios where cloud platforms are used to monitor regional power supply systems, monitoring the operation of energy storage is a critical issue. Generally, cloud platforms can determine the operational status of energy storage by monitoring daily data such as charging, discharging, and energy revenue. If the cloud platform detects a mismatch in discharging or fluctuations in revenue, indicating an anomaly, it will alert professionals to investigate the cause. This method relies on the experience and judgment of staff, resulting in a slow response time and a lack of comprehensive capabilities to handle complex faults. This slow response time is particularly problematic for large-scale power supply or energy storage systems, making it difficult to meet the demands for efficient and reliable operation.

[0044] Based on this, this application provides a diagnostic method for energy storage. Distribution areas can diagnose the operating status of energy storage based on historical and expected data to determine its operational status. If the operating status is pending diagnosis, further diagnostics can be performed. This achieves the technical objective of timely response to energy storage and enables immediate diagnosis, effectively improving the fault response capability of the power system.

[0045] Specifically, when this power system is applied to commercial energy storage scenarios, the cloud platform can perform revenue analysis and energy management based on the acquired distribution area data. Ensuring the normal operation of energy storage is crucial in this application scenario. Therefore, in some implementations, the cloud platform can determine the operating status of the energy storage based on its parameters, such as whether it is operating normally or awaiting diagnosis. If it is determined that the energy storage is awaiting diagnosis, the cloud platform can perform a diagnosis based on the acquired power data using a preset diagnostic approach and generate diagnostic results. The cloud platform can transmit the diagnostic results to the distribution area, allowing the area to adjust energy storage parameters or operating power accordingly, thus achieving a degree of automatic response from the power system and improving its self-healing capabilities. Furthermore, the cloud platform can also send diagnostic results to other devices, enabling monitoring personnel to promptly understand any anomalies in the distribution area's energy storage and take timely action, thereby ensuring the continuous and stable operation of the distribution area.

[0046] The diagnostic method for energy storage provided in the embodiments of this application will be described in detail below.

[0047] Please refer to Figure 3 This is a flowchart illustrating a diagnostic method for energy storage provided in an embodiment of this application. This method can be applied to the aforementioned power system. Figure 3 As shown, the method may include the following steps:

[0048] S301: Obtain the planned and actual parameters of energy storage.

[0049] The planned parameters may include: planned power, planned charging and discharging of energy storage in each operating segment, and planned total charging and discharging of energy storage across multiple operating segments.

[0050] Actual parameters may include: the actual charging and discharging of energy storage in each operating segment, the actual total charging and discharging of energy storage across multiple operating segments, and the system efficiency of energy storage.

[0051] S302: Determine the operating status of energy storage based on the offset between planned parameters and actual parameters.

[0052] The operating status of energy storage includes normal operation and pending diagnosis.

[0053] S303: In response to the energy storage's operating state being in a state to be diagnosed, perform a diagnosis on the energy storage based on a preset diagnosis direction and generate a diagnosis result.

[0054] In the above S301, in one possible implementation, the planned power P1 is 60kW, and the operating period is 00:00:00~06:00:00, that is, the first 6 hours from midnight constitute a time period. If energy storage charging is performed during this period, the planned charging amount WHchg For WH chg =P1×6=360kWh. If the stored energy is discharged during this period, the planned discharge amount is 360kWh.

[0055] The planned total discharge is the sum of planned discharges across multiple time periods, and the planned total charge is the sum of planned charges across multiple time periods. For example, a day can be divided into multiple time periods, and by accumulating the data from these time periods, we can obtain the planned total charge and planned total discharge for the day.

[0056] It should be noted that when determining the planned charging amount / planned discharging amount, you can first calculate the initial planned charging amount / initial planned discharging amount (to distinguish it from the final data, it is referred to as the initial planned charging amount / initial planned discharging amount here), and the available charging amount / available discharging amount of energy storage during this period; then take the smaller of these two values ​​as the planned charging amount / planned discharging amount.

[0057] In one possible implementation, such as Figure 4 As shown, the planned power and operating time of the energy storage can be obtained first; then, based on the planned power and operating time, the initial planned charging amount and initial planned discharging amount can be calculated; subsequently, based on the rated capacity, state of health (SOH), and depth of charge and discharge of the energy storage, the available charging amount and available discharging amount can be calculated; finally, the smaller value between the initial planned charging amount and the available charging amount is taken as the planned charging amount, and the smaller value between the initial planned discharging amount and the available discharging amount is taken as the planned discharging amount.

[0058] Continuing with the example above, when the energy storage operation period is 6 hours and the planned power P1 is 60kW, the initial planned charge / discharge ratio is 360kWh. Assuming the rated capacity of the energy storage is 200kWh, the health level is 90%, and the depth of charge / discharge is 90%, then the available capacity of the energy storage is available charge / discharge = 200kWh × 90% × 90% = 162kWh. Based on the above calculation, it can be determined that the initial planned charge / discharge ratio is greater than the available charge / discharge ratio, therefore, the available charge / discharge ratio can be used as the planned charge / discharge ratio.

[0059] It should be understood that the actual charging and discharging amounts mentioned above can be directly determined from the data of the distribution area. In some implementations, such as... Figure 1 In the illustrated power supply system for the transformer substation, the energy storage system may include an AC meter, which can directly obtain the actual charging and discharging amounts of the stored energy. Additionally, the AC meter may be equipped with a power calculation module to calculate the corresponding power data through current and voltage sampling.

[0060] Taking commercial energy storage applications as an example, when operating energy storage in a peak-valley arbitrage mode under a time-of-use pricing mechanism, the AC meter can also detect the transformer's operating power. The energy storage can calculate the transformer's real-time operating power through its built-in controller, obtain the upper and lower limits of the transformer's allowable operating power, and adjust the energy storage's operating power to achieve peak-valley arbitrage under the time-of-use pricing mechanism.

[0061] It is worth mentioning that under the time-of-use pricing mechanism, the primary role of energy storage remains to maintain the stable operation of the system. When the system experiences a severe overload, energy storage can maintain the normal operation of the charging system in the distribution area by discharging or charging.

[0062] The transformer's operating power is the sum of the load operating power and the energy storage operating power. For energy storage, the energy storage control power can be the difference between the transformer's set power and the load operating power.

[0063] like Figure 5 As shown, when executing S302 above, the difference between the planned total discharge and the actual total discharge can be calculated first, as well as the difference between the planned total charge and the actual total charge. If the difference between the planned total discharge and the actual total discharge is greater than the preset total discharge deviation, an energy storage discharge anomaly can be determined, and the energy storage operation status can be determined as a state to be diagnosed. If the difference between the planned total charge and the actual total charge is greater than the preset total charge deviation, an energy storage charging anomaly can be determined, and the energy storage operation status can be determined as a state to be diagnosed.

[0064] For the same period of time, if the difference between the planned charging amount and the actual charging amount is greater than the preset charging amount deviation, it can be determined that the energy storage charging is abnormal and the energy storage operation status is determined to be a state to be diagnosed; if the difference between the planned discharging amount and the energy storage discharging amount is greater than the preset discharging amount deviation, it can be determined that the energy storage discharging is abnormal and the energy storage operation status is determined to be a state to be diagnosed; wherein, the energy storage discharging amount is obtained by dividing the actual discharging amount by the system efficiency.

[0065] In some implementations, the offset between the planned charging amount and the actual charging amount can be calculated based on data from multiple time periods of the previous day (i.e., the previous 24 hours). If the offset is less than or equal to the preset charging amount deviation, it indicates that the energy storage is in a normal operating state. If the offset is greater than the preset charging amount deviation, it indicates that there may be an abnormality in the energy storage operation, and the energy storage needs to be diagnosed. In this case, the energy storage is in a state of pending diagnosis.

[0066] In other implementations, the diagnostic cycle for the energy storage of the transformer substation power supply system can be preset. For example, the cycle can be 6 hours, 3 hours, 1 hour, 50 minutes, or 1 minute. For instance, the energy storage of the transformer substation power supply system can be diagnosed every minute to determine its operating status. Furthermore, each diagnosis can start at midnight (00:00). For example, if the preset duration is 1 hour, the energy storage of the transformer substation can be diagnosed every hour starting from midnight.

[0067] In the specific implementation of S303 above, the preset diagnostic directions may include at least one of the following: energy storage operation SOC diagnosis, energy storage cell voltage value diagnosis, grid operation power diagnosis, and energy storage operation power diagnosis.

[0068] It should be noted that, due to the numerous factors affecting energy storage charging and discharging, the preset diagnostic direction here is merely an example. In practical applications, energy storage temperature can also be set as the diagnostic direction. Furthermore, the battery voltage and current in energy storage also affect its operation, potentially leading to differences in charging and discharging rates. Therefore, the current and voltage values ​​of the energy storage system can also be used as diagnostic directions for energy storage operation.

[0069] In specific implementations of the above-mentioned S303, when the operating state of the energy storage is determined to be a state awaiting diagnosis, the cause of the deviation in its charging or discharging quantity can be further determined.

[0070] In some specific implementations, energy storage operation SOC diagnosis includes: obtaining the energy storage operation SOC, SOC upper limit, and SOC lower limit; if the energy storage operation SOC is equal to the SOC upper limit, or if the energy storage operation SOC is equal to the SOC lower limit, it is determined that the energy storage SOC setting is abnormal.

[0071] The energy storage operating SOC is the real-time SOC of the energy storage. Both the upper and lower SOC limits are preset values. In practice, the real-time energy storage operating SOC is first obtained, and it is determined whether the energy storage operating SOC equals the upper or lower SOC limit. If neither is equal, the energy storage SOC operation is confirmed to be correct, meaning the SOC limit setting will not cause deviations in the aforementioned energy storage values. If the energy storage operating SOC equals either the lower or upper SOC limit, it indicates that the current SOC of the energy storage is abnormal, indicating an anomaly in energy storage operation, and confirming that the SOC setting is incorrect.

[0072] In some specific implementations, energy storage cell voltage value diagnosis includes: determining the maximum and minimum voltage values ​​of individual cells in the energy storage, and obtaining the upper and lower operating limits of the individual cell voltage; if the maximum voltage value of an individual cell is equal to the upper operating limit of the individual cell voltage, and / or if the minimum voltage value of an individual cell is equal to the lower operating limit of the individual cell voltage; determining that the voltage setting of the energy storage cell is abnormal.

[0073] For example, the maximum value of the individual cell voltage V1max, the minimum value of the individual cell voltage V1min, the upper limit of the individual cell voltage V2max, and the lower limit of the individual cell voltage V2min are obtained. Further, it is determined whether either of the two formulas V1max=V2max and V1min=V2min is true. If either formula is true, it is confirmed that the individual cell voltage setting of the energy storage is abnormal. If neither formula is true, it is confirmed that the individual cell voltage setting of the energy storage is normal, that is, the individual cell voltage setting value will not cause the above-mentioned energy storage data deviation.

[0074] In some specific implementations, grid operating power diagnosis includes: obtaining grid operating power, grid operating power upper limit, and grid operating power deviation; if the difference between the grid operating power upper limit and the grid operating power is greater than the grid operating power deviation, the grid power constraint is determined.

[0075] For example, obtain the grid operating power P run-1 The upper limit of the power grid operation power P max-1 Power grid operating power deviation Pdiff; determine P max-1 -P run-1 If the inequality <Pdiff is true, then it is considered that there is no grid power constraint, that is, the setting of the upper limit of grid operating power during the operation of energy storage will not cause the above-mentioned deviation of energy storage values; if the inequality is true, then it is considered that there is a grid power constraint, that is, the setting of the upper limit of grid operating power affects the operation of energy storage.

[0076] In some specific implementations, energy storage operation power diagnosis includes: obtaining the energy storage operation power, the upper limit of the energy storage operation power, and the lower limit of the energy storage operation power; if the energy storage operation power is equal to the upper limit of the energy storage operation power, or if the energy storage operation power is equal to the lower limit of the energy storage operation power; and determining the energy storage operation power constraints.

[0077] For example, obtain the energy storage operating power P run-2 Energy storage operating power limit P max-2 Lower limit of energy storage operating power P min-2 Determine P run-2 = P max-2 Or, P run-2 = P min-2 If either of the above two equations is true, then the energy storage operating power constraint is determined; if neither of the above two equations is true, then it is confirmed that the energy storage operating power is not the cause of the deviation in the energy storage data.

[0078] With multiple diagnostic directions preset, in specific implementation, diagnosis can be performed simultaneously based on each diagnostic direction, generating multiple diagnostic results; alternatively, diagnosis can be performed sequentially based on multiple diagnostic directions. During the sequential diagnosis process, if the diagnostic result obtained based on the current diagnostic direction is abnormal, subsequent diagnosis can be discontinued; if the diagnostic result obtained based on the current diagnostic direction is non-abnormal, diagnosis can continue based on other diagnostic directions.

[0079] For example, if the preset diagnostic directions include energy storage operating SOC diagnosis, energy storage cell voltage value diagnosis, grid operating power diagnosis, and energy storage operating power diagnosis, in specific implementation, diagnoses can be performed simultaneously based on these diagnostic directions, generating multiple diagnostic results. Alternatively, the energy storage operating SOC diagnosis can be performed first. If the diagnosis result indicates an abnormal energy storage SOC setting, the diagnosis ends. If the diagnosis result indicates a normal energy storage SOC setting, the energy storage cell voltage value diagnosis continues. If the diagnosis result indicates an abnormal energy storage cell voltage setting, the diagnosis ends. If the diagnosis result indicates a normal energy storage cell voltage setting, the grid operating power diagnosis continues. If the diagnosis result indicates a grid power constraint, the diagnosis ends. If the diagnosis result indicates no grid power constraint, the energy storage operating power diagnosis continues. If the diagnosis result indicates an energy storage operating power constraint, the diagnosis ends. If the diagnosis result indicates no energy storage operating power constraint, the diagnosis ends. It should be understood that after ending this diagnosis, the next diagnostic process can begin.

[0080] Furthermore, after diagnosing the energy storage based on the preset diagnostic direction and generating diagnostic results, prompt information can also be generated based on the diagnostic results; among which, the prompt information includes at least one of the following: abnormal energy storage SOC setting, abnormal energy storage cell voltage setting, grid power constraint, and energy storage operating power constraint.

[0081] This application also provides a cloud platform device, such as... Figure 6 As shown, the cloud platform device 400 may include a processor 410, a communication interface 420, a memory 430, and a communication bus 440. The processor 410, communication interface 420, and memory 430 communicate with each other via the communication bus 440. The processor 410 can call logical instructions stored in the memory 430 to execute the aforementioned methods.

[0082] Furthermore, the logical instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0083] This application also provides a power system comprising: a transformer, an energy storage system, a load, and a photovoltaic system, wherein the transformer is connected to the energy storage system, the load, and the photovoltaic system via a distribution line; the energy storage system comprises: a controller and energy storage, the controller being coupled to the energy storage; the energy storage is used for charging or discharging, and the controller is used to perform the above-described methods to diagnose the energy storage.

[0084] This application also provides an electric power system, such as Figure 7 As shown, the power system includes a cloud platform 70 and a distribution area 60. Distribution area 60 includes a transformer 61, energy storage 62, load 63, photovoltaic system 64, and controller 65. Transformer 61 is connected to energy storage 62, load 63, and photovoltaic system 64 via power distribution lines. Controller 65 is communicatively connected to both transformer 61 and energy storage 62. Controller 65 in distribution area 60 establishes a communication connection with cloud platform 70 for transmitting data to cloud platform 70.

[0085] The energy storage unit 62 is used to charge or discharge according to the instructions of the controller 65; the transformer 61 is used to operate based on a given power according to the instructions of the controller 65; the controller 65 is also used to acquire real-time data of the transformer 61 and the energy storage unit 62, and send this real-time data to the cloud platform 70. In specific applications, the cloud platform 70 can be used to execute the above methods.

[0086] This application also provides a computer storage medium that includes computer instructions. When the computer instructions are executed on the processing device, the processing device can perform the method steps described in the method embodiments.

[0087] The embodiments also provide a computer program product that, when run on a processing device, enables the processing device to execute the method steps described in the above method embodiments.

[0088] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules or units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. In addition, the communication connections between each other proposed in this application may be through some interfaces, indirect coupling or communication connections between devices or units, which may be electrical, mechanical, or other forms.

[0089] The units described as separate components may or may not be physically separated. The three-element components may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of them may be selected according to actual needs to achieve the technical purpose of the embodiments of this application.

[0090] In addition, in the embodiments of this application, each functional unit can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of software functional units.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A diagnostic method for energy storage, characterized in that, include: Obtain the planned total charging and total discharging of energy storage across multiple operating periods, as well as the actual total charging and total discharging of energy storage across multiple operating periods; If the difference between the planned total charging amount and the actual total charging amount is greater than the preset total charging amount deviation, the operating status of the energy storage is determined to be a state to be diagnosed. If the difference between the planned total discharge and the actual total discharge is greater than the preset total discharge deviation, the operating status of the energy storage is determined to be a state to be diagnosed. In response to the energy storage operating state being the state to be diagnosed, the energy storage is diagnosed based on a preset diagnostic direction to determine whether the energy storage is abnormal and the cause of the abnormality, and to generate a diagnostic result; The step of obtaining the planned total charging amount and planned total discharging amount of energy storage across multiple operating segments includes: Obtain the planned power and operating time of the energy storage; Based on the planned power and the energy storage operating period, the initial planned charging amount and the initial planned discharging amount are calculated; Based on the rated capacity, health status, and depth of charge / discharge of the energy storage, calculate the available charge and discharge capacity of the energy storage. The smaller value between the initial planned charging amount and the available charging amount is taken as the planned charging amount, and the smaller value between the initial planned discharging amount and the available discharging amount is taken as the planned discharging amount; The planned total charging amount is obtained based on the planned charging amount over multiple time periods, and the planned total discharging amount is obtained based on the planned discharging amount over multiple time periods.

2. The method according to claim 1, characterized in that, The preset diagnostic directions include: At least one of the following: energy storage operation SOC diagnosis, energy storage cell voltage value diagnosis, grid operation power diagnosis, and energy storage operation power diagnosis.

3. The method according to claim 1 or 2, characterized in that, Before the step of diagnosing the energy storage based on a preset diagnostic direction in response to the energy storage's operating state being the state to be diagnosed, the method further includes: Obtain the planned charging and discharging amounts of the energy storage during each operating period, as well as the actual charging and discharging amounts of the energy storage during each operating period; For the same period of time, if the difference between the planned charging amount and the actual charging amount is greater than the preset charging amount deviation, the operating status of the energy storage is determined to be a state to be diagnosed. If the difference between the planned discharge amount and the energy storage discharge amount is greater than the preset discharge amount deviation, the operating state of the energy storage is determined to be a state to be diagnosed; wherein, the energy storage discharge amount is obtained by dividing the actual discharge amount by the system efficiency of the energy storage.

4. The method according to claim 2, characterized in that, The energy storage operation SOC diagnostics include: Obtain the operating SOC, upper SOC limit, and lower SOC limit of the energy storage system; If the energy storage operating SOC is equal to the upper limit of SOC, or if the energy storage operating SOC is equal to the lower limit of SOC, it is determined that the energy storage SOC setting is abnormal. The energy storage cell voltage value diagnosis includes: Determine the maximum and minimum voltage values ​​of individual cells in the energy storage system, and obtain the upper and lower limits of the operating voltage of individual cells. If the maximum value of the single-unit voltage is equal to the upper limit of the single-unit voltage operation, and / or if the minimum value of the single-unit voltage is equal to the lower limit of the single-unit voltage operation; It has been determined that the voltage setting of the energy storage unit is abnormal; The power grid operation power diagnosis includes: Obtain the grid operating power, the upper limit of grid operating power, and the deviation of grid operating power; If the difference between the upper limit of the power grid operating power and the power grid operating power is less than the power grid operating power deviation, the power grid power constraint is determined. The energy storage operation power diagnosis includes: Obtain the energy storage operating power, the upper limit of the energy storage operating power, and the lower limit of the energy storage operating power; If the energy storage operating power is equal to the upper limit of the energy storage operating power, or if the energy storage operating power is equal to the lower limit of the energy storage operating power; Determine the power constraints for energy storage operation.

5. The method according to claim 4, characterized in that, After diagnosing the energy storage based on a preset diagnostic direction and generating diagnostic results, the method further includes: A prompt message is generated based on the diagnostic results; The prompt information includes at least one of the following: abnormal SOC setting of energy storage, abnormal voltage setting of energy storage unit, grid power constraint, and energy storage operation power constraint.

6. A cloud platform device, characterized in that, include: A memory and one or more processors, wherein the memory and the processors are coupled; The memory is used to store computer program code, which includes computer instructions. When the processor executes the computer instructions, it causes the cloud platform device to perform the method as described in any one of claims 1 to 5.

7. An electric power system, characterized in that, include: The system includes a transformer, an energy storage system, a load, and a photovoltaic system, wherein the transformer is connected to the energy storage system, the load, and the photovoltaic system via a power distribution line. The energy storage system includes: a controller and energy storage, wherein the controller is coupled to the energy storage; The energy storage is used for charging or discharging, and the controller is used to perform the method as described in any one of claims 1 to 5 to diagnose the energy storage.

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