Energy storage station performance risk assessment method, system, device and storage medium

Abstract

This disclosure relates to the field of energy storage site assessment, specifically disclosing a method, system, device, and storage medium for assessing the performance risk of energy storage sites. The method may include: obtaining an operational dataset of the energy storage devices based on their historical operating data; generating a target configuration scheme based on performance configuration requirements; selecting energy storage devices associated with the target configuration as target energy storage devices, and constructing a virtual energy storage site based on the target energy storage devices; determining simulated operational data of the virtual energy storage site based on the operational dataset to obtain the performance risk assessment corresponding to the target configuration scheme; and determining one or more target configuration schemes as performance configuration schemes based on the performance risk assessment. Through the technical solution provided by this disclosure, a comprehensive and accurate assessment of the performance risk of energy storage sites can be performed by utilizing the historical operational data of the energy storage devices.

Description

Technical Field

[0001] This disclosure relates to the field of energy storage site assessment technology, and in particular to a method, system, device and storage medium for assessing the performance risk of energy storage sites. Background Technology

[0002] Currently, in energy storage site bidding contracts, different owners design different performance indicators for site reliability. Existing technology estimates the average operational capability level of energy storage sites using pre-defined performance indicator formulas and parameters, and then uses this to assess the risk of contract fulfillment. However, in energy storage project investment decisions, assessing risk solely based on average levels may underestimate the probability of risks under extreme conditions, leading to penalties or insufficient returns during actual project operation. Furthermore, existing performance indicator evaluation methods suffer from "false labeling" of some energy storage equipment performance, with manufacturers' advertised data differing significantly from actual operational data. This results in the assessment of theoretical performance indicators for energy storage sites relying on multiple preconditions, making it difficult to reflect the true performance of energy storage sites and the potential performance risks. Summary of the Invention

[0003] The purpose of this disclosure is to provide a method, system, device, and storage medium for assessing the performance risk of energy storage sites, which can comprehensively and accurately assess the performance risk of energy storage sites by utilizing historical operating data of energy storage equipment.

[0004] The first aspect of this disclosure provides a method for assessing the performance risk of energy storage sites. This method may specifically include the following steps: obtaining an operational dataset of the energy storage devices based on their historical operating data; generating one or more target configuration schemes based on performance configuration requirements; selecting target energy storage devices from the energy storage devices according to the target configuration schemes, and constructing a virtual energy storage site based on the target energy storage devices; wherein each target configuration scheme corresponds one-to-one with a virtual energy storage site; determining simulated operational data of the virtual energy storage site based on the operational dataset to obtain the performance risk assessment corresponding to the target configuration schemes; and determining one or more target configuration schemes as performance configuration schemes based on the performance risk assessment.

[0005] In one possible implementation of the first aspect above, the process of constructing a virtual energy storage site based on the target energy storage device includes: determining the simulated operating conditions of the target energy storage device based on the target configuration scheme.

[0006] In one possible implementation of the first aspect above, the process of obtaining the performance risk assessment includes: randomly selecting historical operating data of a preset duration from the self-operating dataset based on simulated operating conditions as the simulated operating data of the target energy storage device; determining a single performance reliability index of the virtual energy storage site based on the simulated operating data of all target energy storage devices in the virtual energy storage site; repeating the random selection process of the simulated operating data of the target energy storage device to obtain multiple performance reliability indices of the virtual energy storage site, and determining the performance risk assessment of the target configuration scheme according to the distribution probability of the multiple performance reliability indices.

[0007] In one possible implementation of the first aspect mentioned above, the performance risk assessment includes a probability distribution map of performance reliability indicators and the performance risk level of the target configuration scheme; in the process of obtaining the performance risk assessment, it also includes: taking the mathematical expectation of multiple performance reliability indicators as the performance reliability mean in the probability distribution map of performance reliability indicators; and determining the performance risk level based on the corresponding probability of the performance reliability mean when the performance configuration requirements are only related to the energy storage capacity of the virtual energy storage site.

[0008] In one possible implementation of the first aspect above, the performance risk assessment includes the distribution probability of performance reliability indicators and the performance risk level of the target configuration scheme; in the process of obtaining the performance risk assessment, it also includes: when the performance configuration requirements are only related to the average performance of a single energy storage device, determining the performance risk level based on the distribution probability of performance reliability indicators.

[0009] In one possible implementation of the first aspect above, the process of determining one or more target configuration schemes as performance configuration schemes includes: generating a first performance indicator distribution trend associated with the energy storage capacity of the virtual energy storage station based on the performance risk assessment corresponding to each target configuration scheme; and determining the performance configuration scheme based on the performance probability and / or non-performance risk of the virtual energy storage station estimated according to the first performance indicator distribution trend.

[0010] In one possible implementation of the first aspect above, the target configuration scheme includes a compliance configuration scheme and / or an over-allocation configuration scheme; in the process of determining one or more target configuration schemes as performance configuration schemes, the process includes: when the target configuration scheme includes an over-allocation configuration scheme, generating a second performance indicator distribution trend associated with the over-allocation ratio of the virtual energy storage station based on the performance risk assessment corresponding to each target configuration scheme, wherein the second performance indicator is a performance reliability indicator associated with the over-allocation ratio of the virtual energy storage station in the performance risk assessment; and determining the performance configuration scheme based on the revenue situation of the virtual energy storage station estimated according to the second performance indicator distribution trend.

[0011] The second aspect of this disclosure provides a performance risk assessment system for energy storage sites, which may specifically include: a data acquisition unit for acquiring an operational dataset of energy storage devices based on their historical operating conditions; a scheme configuration unit for generating one or more target configuration schemes based on performance configuration requirements; a site construction unit for selecting target energy storage devices from the energy storage devices according to the target configuration schemes and constructing virtual energy storage sites based on the target energy storage devices; wherein, there is a one-to-one correspondence between the target configuration schemes and the virtual energy storage sites; a simulation evaluation unit for determining the simulated operational data of the virtual energy storage sites based on the operational dataset to obtain the performance risk assessment status corresponding to the target configuration schemes; and a comparison evaluation unit for determining one or more target configuration schemes as performance configuration schemes based on the performance risk assessment status.

[0012] The third aspect of this disclosure provides an energy storage site performance risk assessment device, which may include: at least one processor and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to implement the steps of the energy storage site performance risk assessment method provided in the first aspect.

[0013] The fourth aspect of this disclosure provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the steps of the energy storage site performance risk assessment method provided in the first aspect.

[0014] The technical solution provided in this disclosure can comprehensively and accurately assess the performance risk of energy storage sites by utilizing historical operating data of energy storage devices. Furthermore, the technical solution provided in this disclosure can obtain the distribution of performance reliability indicators corresponding to each target configuration scheme, thereby comprehensively and effectively estimating the potential performance risk of energy storage sites. It also supports the analysis of the impact of site scale and over-allocation ratio on the distribution trend of performance reliability indicators, comprehensively assessing the performance risk brought about by the configuration of each energy storage device in different target configuration schemes, and enabling the selection of a target configuration scheme that simultaneously meets performance reliability indicators and has a lower cost as the performance configuration scheme. Attached Figure Description

[0015] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0016] Figure 1 This is a flowchart illustrating a method for assessing the performance risk of an energy storage site according to an embodiment of this disclosure; Figure 2 This is a schematic diagram of a process for obtaining performance risk assessment information according to an embodiment of this disclosure; Figure 3 This is a schematic diagram of a probability distribution diagram of a performance reliability index provided according to an embodiment of this disclosure; Figure 4 This is a schematic diagram of a distribution trend of a first performance indicator according to an embodiment of the present disclosure; Figure 5 This is a schematic diagram of another first performance indicator distribution trend diagram provided according to an embodiment of this disclosure; Figure 6 This is a schematic diagram of a second performance indicator distribution trend chart provided according to an embodiment of this disclosure; Figure 7 This is a schematic diagram of the structure of an energy storage site performance risk assessment system provided according to an embodiment of this disclosure; Figure 8 This is a structural diagram of a performance risk assessment device for an energy storage site provided according to an embodiment of this disclosure. Detailed Implementation

[0017] To address the problem that the evaluation of existing theoretical performance indicators of energy storage sites relies on multiple preconditions and is difficult to reflect the true performance of energy storage sites and the potential performance risks, some embodiments of this disclosure provide a method, system, device, and storage medium for assessing the performance risks of energy storage sites. This method can comprehensively and accurately assess the performance risks of energy storage sites by utilizing historical operating data of energy storage equipment.

[0018] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the various embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details are provided in the embodiments of this disclosure to facilitate a better understanding of the disclosure. However, the technical solutions claimed in this disclosure can be implemented even without these technical details and various variations and modifications based on the following embodiments. The division of the following embodiments is for ease of description and should not constitute any limitation on the specific implementation of this disclosure. The various embodiments can be combined with and referenced by each other without contradiction.

[0019] In some embodiments of this disclosure, Figure 1 A flowchart illustrating a method for assessing the performance risks of energy storage sites is shown, such as... Figure 1 As shown, process 100 may specifically include the following steps: Step 110: Based on the historical operating data of the energy storage devices, obtain the operating dataset of the energy storage devices. In some embodiments, the energy storage devices can be various equipment and facilities that make up an energy storage station, such as energy storage devices, safety management and control devices, risk monitoring devices, etc., which are not limited here. In some embodiments, the historical operating data of the energy storage devices can be preprocessed, including but not limited to data cleaning, removing abnormal operating condition data, etc., and the relevant data of the operating status of the energy storage devices under normal operating conditions can be organized and generated into the operating dataset of the energy storage devices, which are not limited here.

[0020] Step 120: Generate one or more target configuration schemes based on the performance configuration requirements. It is understood that the performance configuration requirements can be determined by parsing the bidding requirements for the energy storage site, and may specifically include the site capacity, equipment power, reliability, safe operation requirements, performance targets, and penalties for failing to meet targets, etc., without limitation here. In some embodiments, furthermore, one or more corresponding target configuration schemes for the energy storage site can be generated based on the performance configuration requirements. These target configuration schemes can be the same as those for existing operating energy storage sites, or they can be virtual energy storage sites built based on multiple energy storage devices, different from existing site configurations, without limitation here.

[0021] Step 130: Based on the target configuration scheme, select target energy storage devices from the energy storage devices and construct a virtual energy storage site based on the target energy storage devices. In some embodiments, there is a one-to-one correspondence between the target configuration scheme and the virtual energy storage site. In some embodiments, the required energy storage devices can be selected according to the target configuration scheme. For example, when the target configuration scheme focuses on the site capacity, the preferred target energy storage device may be a large-capacity energy storage device that focuses on energy storage capacity, etc., which is not limited here. In some embodiments, in order to achieve the target configuration scheme, it is also necessary to adaptively configure and set the simulated operating conditions of the target energy storage devices. Specifically, based on the target configuration scheme, the simulated operating conditions of the target energy storage devices can be determined to construct a simulated virtual energy storage site. The simulated virtual energy storage site needs to be able to meet the performance configuration requirements at least for a portion of the operating time, which is not limited here.

[0022] Step 140: Determine the simulated operation data of the virtual energy storage site based on the operational dataset to obtain the performance risk assessment corresponding to the target configuration scheme. In some embodiments, for each generated target configuration scheme, the simulated operation data of the virtual energy storage site can be determined using historical operational datasets, and the performance risk of the target configuration scheme can be assessed by utilizing the actual historical operation data of each energy storage device. It is understandable that during the process of obtaining performance risk assessment information, different performance configuration requirements not only involve different target values ​​and performance plans for energy storage sites, but also slight differences in the performance risk assessment formulas used and the reference data sources. The technical solution provided in this disclosure allows for the simultaneous calculation of multiple sets of reliability performance indicators during performance risk assessment. These multiple sets of reliability performance indicators can include indicators from the company's internal assessment, customer-required indicators, competitor-related indicators, or indicators from reference or preliminary research, etc., without limitation. The company's internal assessment indicator system can be used to construct a benchmark-based evaluation system to assess differences between different models, geographical locations, and operating environments. Customer-required indicators or competitor-related indicators can be used to assess differences between the company's internal assessment indicators, thereby meeting different scenario requirements, without limitation. The specific details of obtaining performance risk assessment information will be explained in detail later and will not be elaborated upon here.

[0023] Step 150: Based on the performance risk assessment, determine one or more target configuration schemes as performance configuration schemes. It is understood that, based on the performance risk assessment of each target configuration scheme, one or more target configuration schemes with lower performance risk can be determined as the final performance configuration schemes for bidding or implementation based on cross-comparison between performance risk assessments. Since the technical solution provided in this disclosure mainly assesses the performance reliability of the schemes and does not involve considerations of other dimensions such as the construction difficulty of energy storage sites, there may be situations where multiple target configuration schemes have good performance reliability. Furthermore, when multiple target configuration schemes are selected as performance configuration schemes, the number of performance configuration schemes is less than the number of target configuration schemes. For example, one or three schemes with better performance reliability can be selected from ten target configuration schemes as performance configuration schemes; this is not limited here.

[0024] Through the above process 100, the reliability of the target configuration scheme can be comprehensively and accurately evaluated using real operating data of the energy storage equipment, and the configuration scheme with lower performance risk can be selected. The specific implementation of the above process 100 will be further explained and illustrated below with specific embodiments.

[0025] In some embodiments of this disclosure, Figure 2A flowchart illustrating a process for obtaining performance risk assessment information is shown, such as... Figure 2 As shown, the specific steps may include the following: Step 210: Based on the simulated operating conditions, randomly select historical operating data of a preset duration from the self-operating dataset as the simulated operating data for the target energy storage device. In some embodiments, it can be understood that, based on determining the simulated operating conditions of the energy storage device, the operating dataset can be filtered accordingly, removing relevant data that does not meet the simulated operating conditions, and randomly reading historical operating data of a fixed time length segment from the operating dataset that meets the simulated operating conditions as the simulated operating data, thereby realizing the simulated operation of a virtual energy storage station using the actual operating data of the energy storage device.

[0026] Step 220: Based on the simulated operation data of all target energy storage devices in the virtual energy storage site, determine the performance reliability index of the virtual energy storage site. In some embodiments, the performance reliability index obtained in step 220 refers to the simultaneous calculation of multiple sets of reliability performance indicators. Specifically, it may include indicators from internal company assessments provided in the aforementioned embodiments, indicators required by customers, relevant indicators from competitors, or indicators from reference or preliminary research, etc., without limitation, to meet various different scenario requirements. In some embodiments, based on step 210, the simulated operation data corresponding to the target energy storage devices in the virtual energy storage site can be repeatedly summarized until the performance configuration requirements corresponding to the target configuration scheme can be achieved, without limitation. In some embodiments, further, a preset reliability index formula or reliability index model can be used to calculate the performance reliability index. In some embodiments, the technical solution provided by this disclosure can maintain a set of reliability index models for commonly used energy storage devices and support the introduction of other reliability index evaluation modes from the outside according to the changes in the energy storage devices included in the virtual energy storage site to obtain accurate performance reliability indicators, without limitation. In some embodiments, if the virtual energy storage site corresponding to the target configuration scheme is an existing energy storage site, or the difference between it and an existing energy storage site is only the site size or the fulfillment configuration requirements, existing reliability index models or reliability index formulas can be directly used to further estimate the probability of achieving the fulfillment configuration requirements and / or the risk of triggering penalties for failing to meet assessment targets at various levels, without limitation. In some embodiments, if the virtual energy storage site corresponding to the target configuration scheme does not have a corresponding real energy storage site, corresponding reliability index formulas or reliability index models can be adaptively added to independently evaluate the fulfillment reliability index, without limitation.

[0027] Step 230: Repeat steps 210 to 220 above to randomly select simulated operating data for the target energy storage device to obtain multiple performance reliability indicators for the virtual energy storage site. It is understood that the performance reliability indicators obtained through steps 210 to 220 reflect a specific segment of historical operating data randomly selected under selected operating conditions (where selected operating conditions refer to equipment operating conditions, such as charging and discharging frequency, or factors such as climate and environment during equipment operation, which are not limited here). They do not reflect the overall distribution of performance reliability indicators for the target configuration scheme. Therefore, steps 210 to 220 need to be repeated multiple times to obtain a large number of performance reliability indicators, and the distribution probability of these performance reliability indicators will serve as the basis for subsequent performance risk assessment.

[0028] Step 240: Determine the performance risk assessment of the target configuration scheme based on the distribution probabilities of multiple performance reliability indicators. In some embodiments of this disclosure, the performance risk assessment may further include a probability distribution map of performance reliability indicators associated with their distribution probabilities and the performance risk level of the target configuration scheme, wherein the performance risk level is associated with the probability distribution of performance reliability indicators; the higher the distribution probability of a specific value among the performance reliability indicators, the lower the performance risk level. In some embodiments, Figure 3 A schematic diagram of a probability distribution chart for a performance reliability index is shown. For example... Figure 3 As shown in the probability distribution chart of performance reliability indicators, the horizontal axis represents the specific values ​​of the performance reliability indicators, distributed from smallest to largest along the direction of the arrows; the vertical axis represents the probability distribution of the performance reliability indicators, also distributed from smallest to largest along the direction of the arrows. This probability distribution chart of performance reliability indicators can intuitively show the probability distribution of multiple performance reliability indicators, such as... Figure 3 As shown, the probability distribution of the performance reliability index forms a pattern similar to a normal distribution. In some embodiments, further, in situations such as Figure 3 In the probability distribution diagram of the performance reliability indicators shown, the mathematical expectation of multiple performance reliability indicators can be used as the mean of performance reliability, i.e. Figure 3 The portion shown by the dashed line 310.

[0029] In some embodiments, further, when the performance configuration requirements are only related to the average performance of a single energy storage device, the corresponding probability of the mean performance reliability does not change with the change in the energy storage capacity of the energy storage site. In this case, the performance risk level can be determined based on the distribution probability of the performance reliability index. It is understood that in scenarios where the performance configuration requirements focus on assessing the average performance of a single energy storage device, the performance reliability index of the energy storage site is directly related to the performance baseline of each energy storage product. It is difficult to additionally improve the performance reliability index through over-configuration or other means. That is, the mean performance reliability no longer changes with the scale of the energy storage site. However, changes in the energy storage capacity of the energy storage site will still affect the distribution of the performance reliability index, and the overall performance risk of the target configuration scheme can still be assessed based on the aforementioned performance reliability index probability distribution map.

[0030] In some embodiments of this disclosure, further, in the process of determining one or more target configuration schemes as performance configuration schemes, a first performance indicator distribution trend associated with the energy storage capacity of the virtual energy storage site can be generated based on the performance risk assessment corresponding to each target configuration scheme. The first performance indicator can be a performance reliability indicator associated with the energy storage capacity of the virtual energy storage site in the performance risk assessment. The performance configuration scheme is then determined based on the performance probability and / or non-performance risk of the virtual energy storage site estimated by the first performance indicator distribution trend. In some embodiments, Figure 4 A schematic diagram of the distribution trend of a first performance indicator is shown. In, for example... Figure 4In the first performance indicator distribution trend diagram shown, curves 410, 420, and 430 respectively illustrate the probability distribution of performance reliability indicators corresponding to three different target configuration schemes. Curve 410 corresponds to large-scale energy storage sites, curve 420 corresponds to medium-scale energy storage sites, and curve 430 corresponds to small-scale energy storage sites. In some embodiments, the probability corresponding to the mean performance reliability is positively correlated with the energy storage capacity of the energy storage site. This is because the larger the scale of the energy storage site, the more samples of energy storage devices are collected, which adaptively affects the specific distribution trend of the performance reliability indicators: the higher the energy storage capacity and the larger the scale of the energy storage site, the higher the probability that the data in the final statistical performance reliability indicators are closer to the mean performance probability; the lower the energy storage capacity and the smaller the scale of the energy storage site, the lower the probability that the data in the final statistical performance reliability indicators are closer to the mean performance probability. That is, the probability corresponding to the mean performance reliability is positively correlated with the energy storage capacity of the energy storage site. It is understandable that even for the same energy storage product, the expected value of its performance reliability index is the same, but the corresponding probability distribution is related to the capacity of the site. This means that a systematic assessment of performance risk must not only evaluate the mean performance reliability, but also conduct a comprehensive analysis based on the performance configuration requirements and probability curves, which will not be limited here.

[0031] In other embodiments, Figure 5 This diagram illustrates another distribution trend of the first performance indicator, such as... Figure 5 As shown, curves 510 and 520 respectively illustrate the probability distribution of the performance reliability index corresponding to two different aircraft configuration options. By comparing curves 510 and 520, it can be seen that there are certain differences in the mean performance reliability and the performance reliability distribution when different aircraft configuration options are selected. The performance risk corresponding to the target configuration option can be assessed based on the differences.

[0032] In some embodiments of this disclosure, the target configuration scheme further includes a compliant configuration scheme and / or an over-configuration configuration scheme. The compliant configuration scheme can achieve a lower construction and maintenance cost for energy storage sites while basically meeting the performance requirements. However, when the performance requirements are stringent but the economic profit margin of the energy storage site is large, over-configuration can be considered to meet the performance requirements, minimizing the risk of failing to meet the performance agreement. The optimal over-configuration ratio needs to be evaluated simultaneously. In some embodiments, when the performance reliability index only focuses on the overall performance of the site, the user can further improve the performance reliability index by over-configuration; however, when the performance reliability index focuses on the average operating level of the equipment, the performance reliability index cannot be improved by over-configuration. The specific perspective adopted is defined by the specific content of the calculation formula. Under the condition that the performance configuration requirements are only related to the energy storage capacity of the energy storage station, it can be understood that as the excess ratio of the energy storage station increases, the performance reliability index of the energy storage station can be improved to a certain extent, but the improvement rate gradually decreases. This is because there is a marginal effect in increasing the excess ratio of the energy storage station. When the excess ratio reaches a certain level, continuing to increase the excess ratio will not significantly improve the performance reliability index. On the contrary, it will significantly increase the construction and maintenance costs of the energy storage station.

[0033] In some embodiments of this disclosure, further, in the process of determining one or more target configuration schemes as performance configuration schemes, if the target configuration schemes include over-provisioning configuration schemes, a second performance indicator distribution trend related to the over-provisioning ratio of the virtual energy storage station can be generated based on the performance risk assessment corresponding to each target configuration scheme. The second performance indicator can be a performance reliability indicator related to the over-provisioning ratio of the virtual energy storage station in the performance risk assessment. The performance configuration scheme is then determined based on the revenue of the virtual energy storage station estimated according to the second performance indicator distribution trend. In some embodiments, Figure 6 A schematic diagram of the distribution trend of a second performance indicator is shown, where the horizontal axis represents the specific value of the excess ratio, that is, the proportion of energy storage devices or energy storage capacity exceeding the performance configuration requirements in the target configuration plan, distributed from small to large along the direction of the arrows; the vertical axis represents the specific value of the performance reliability indicator, also distributed from small to large along the direction of the arrows; as shown... Figure 6As shown, in the over-sizing configuration scheme, due to the addition of extra energy storage equipment (which may include energy storage devices, safety management devices, risk monitoring devices, etc., not limited here), and the purpose of adding energy storage equipment is to improve the performance reliability index of the energy storage station, it can be seen that as the over-sizing ratio of the energy storage station increases, the performance reliability index of the energy storage station also improves to a certain extent, but the rate of improvement gradually decreases. This is because there is a marginal effect in increasing the over-sizing ratio of the energy storage station. When the over-sizing ratio reaches a certain level, continuing to increase the over-sizing ratio will not significantly improve the performance reliability index; on the contrary, it will significantly increase the construction and maintenance costs of the energy storage station. Figure 6 The second performance indicator distribution trend chart shown can help users select energy storage sites with an appropriate excess ratio while ensuring the reliability of performance indicators, thereby achieving higher economic benefits for energy storage sites. In some embodiments, such as Figure 6 As shown, curves 610, 620, and 630 respectively illustrate the 90th, median, and 10th percentiles of the performance reliability index. These curves represent the changes in the performance reliability index at the 90th, median, and 10th percentiles of the probability distribution under different excess ratios. This visually demonstrates the improvement in performance reliability index brought about by the excess allocation scheme. By combining the performance reliability index with an assessment of the overall benefits under different allocation schemes, users can make informed decisions based on their actual business needs, such as... Figure 6 The distribution trend chart of the second performance indicator shown can be used to draw quantile lines of different proportions, or statistical value lines such as the average of the performance reliability indicator, without any limitation.

[0034] In some embodiments, further, it may be combined with, such as Figure 4 or Figure 5 The distribution trend chart of the first performance indicator shown, and as follows Figure 6 The distribution trend chart of performance indicators shown comprehensively assesses the performance risks brought about by the configuration of each energy storage device in the target configuration scheme, and enables the selection of the target configuration scheme that simultaneously meets the performance reliability indicators and has a lower cost as the performance configuration scheme.

[0035] In some embodiments of this disclosure, Figure 7 This diagram illustrates a structural schematic of a performance risk assessment system for energy storage sites, wherein the virtual energy storage site includes multiple energy storage devices; such as Figure 7 As shown, the energy storage site performance risk assessment system may specifically include a data acquisition unit 710, a scheme configuration unit 720, a site construction unit 730, a simulation assessment unit 740, and a comparison assessment unit 750.

[0036] In some embodiments, the data acquisition unit 710 can be used to acquire the operating dataset of the energy storage device based on the historical operating status of the energy storage device; in some embodiments, the scheme configuration unit 720 can be used to generate one or more target configuration schemes based on the performance configuration requirements; in some embodiments, the site construction unit 730 can be used to select target energy storage devices from the energy storage devices according to the target configuration schemes, and construct virtual energy storage sites according to the target energy storage devices, wherein the target configuration schemes correspond one-to-one with the virtual energy storage sites; in some embodiments, the simulation evaluation unit 740 can be used to determine the simulated operating data of the virtual energy storage sites based on the operating dataset to obtain the performance risk assessment status corresponding to the target configuration schemes; in some embodiments, the comparison evaluation unit 750 can be used to determine one or more target configuration schemes as performance configuration schemes based on the performance risk assessment status. In some embodiments, the specific functional implementation of the above-mentioned data acquisition unit 710 to comparison evaluation unit 750 can be implemented with reference to the various steps in the energy storage site performance risk assessment method provided in the foregoing embodiments, and will not be elaborated here.

[0037] Some embodiments of this disclosure also relate to a performance risk assessment device for energy storage sites, specifically... Figure 8 A schematic diagram of a performance risk assessment device for energy storage sites is shown, as follows: Figure 8 As shown, the energy storage site performance risk assessment device includes at least one processor 810 and a memory 820 communicatively connected to the at least one processor. The memory 820 stores instructions that can be executed by the at least one processor 810. The instructions are executed by the at least one processor 810 to enable the at least one processor 810 to perform the steps of the energy storage site performance risk assessment method provided in the foregoing embodiments.

[0038] The memory 820 and processor 810 are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors 810 and memory 820 together. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by processor 810 is transmitted over a wireless medium via an antenna, which further receives data and transmits it to the processor.

[0039] In some embodiments, processor 810 may be responsible for managing the bus and general processing, and may also provide various functions, including timing, peripheral interfaces, voltage regulation, power management and other control functions, while memory 820 may be used to store data used by the processor when performing operations, without limitation.

[0040] Some embodiments of this disclosure also relate to a computer-readable storage medium storing computer instructions, which, when executed by a processor, implement the steps of the energy storage station performance risk assessment method provided in the foregoing embodiments. In some embodiments, the computer-readable storage medium may include flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the computer-readable storage medium may be an internal storage unit of a computer device, such as the hard disk or memory of the computer device. In other embodiments, the computer-readable storage medium may also be an external storage device of a computer device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., provided on the computer device. Of course, the computer-readable storage medium may also include both internal storage units and external storage devices of a computer device. In this embodiment, the computer-readable storage medium is typically used to store the operating system and various application software installed on the computer device, such as the program code of the security communication method in this embodiment. Furthermore, the computer-readable storage medium can also be used to temporarily store various types of data that have been output or will be output.

[0041] Some embodiments of this disclosure also relate to a computer program product, including a computer program that, when executed by a processor, implements the steps of the energy storage site performance risk assessment method provided in the foregoing embodiments.

[0042] In some embodiments, the computer program product may involve only a computer program, which may be carried on a storage medium or a processing device. In other embodiments, the computer program product may also be a storage medium or processing device containing the aforementioned computer program. The processing device may include one or more processors, and the storage medium. Those skilled in the art will understand that all or part of the steps in the facility operation monitoring method provided in the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the energy storage site performance risk assessment method provided in the various embodiments of this disclosure.

[0043] The basic concepts have been described above. It is obvious that the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, various modifications, improvements, and corrections may be made to this specification by those skilled in the art. Such modifications, improvements, and corrections are taught in this specification and therefore remain within the spirit and scope of the exemplary embodiments described herein.

Claims

1. A method for assessing the performance risk of energy storage sites, characterized in that, include: Based on the historical operating data of the energy storage device, obtain the operating dataset of the energy storage device; Based on the performance configuration requirements, generate one or more target configuration schemes; According to the target configuration scheme, target energy storage devices are selected from the energy storage devices, and virtual energy storage sites are constructed based on the target energy storage devices; wherein, the target configuration scheme corresponds one-to-one with the virtual energy storage sites; Based on the operational dataset, the simulated operational data of the virtual energy storage station is determined in order to obtain the performance risk assessment of the target configuration scheme. Based on the performance risk assessment, one or more of the target configuration schemes are determined as performance configuration schemes.

2. The method for assessing the performance risk of energy storage sites according to claim 1, characterized in that, The process of constructing the virtual energy storage station based on the target energy storage device includes: Based on the target configuration scheme, the simulated operating conditions of the target energy storage device are determined.

3. The method for assessing the performance risk of energy storage sites according to claim 2, characterized in that, The process of obtaining the aforementioned performance risk assessment includes: Based on the simulated operating conditions, historical operating data of a preset duration is randomly selected from the operating dataset as the simulated operating data of the target energy storage device. Based on the simulated operation data of all the target energy storage devices in the virtual energy storage site, the performance reliability index of the virtual energy storage site is determined; The random selection process of the simulated operation data of the target energy storage device is repeated to obtain multiple performance reliability indicators of the virtual energy storage site, and the performance risk assessment of the target configuration scheme is determined according to the distribution probability of the multiple performance reliability indicators.

4. The method for assessing the performance risk of energy storage sites according to claim 3, characterized in that, The performance risk assessment includes a probability distribution chart of the performance reliability indicators and the performance risk level of the target configuration scheme; The process of obtaining the performance risk assessment also includes: In the probability distribution diagram of the performance reliability index, the mathematical expectation of multiple performance reliability indices is taken as the performance reliability mean. When the performance configuration requirements are only related to the energy storage capacity of the virtual energy storage site, the performance risk level is determined based on the corresponding probability of the mean performance reliability.

5. The method for assessing the performance risk of energy storage sites according to claim 3, characterized in that, The performance risk assessment includes the probability distribution of the performance reliability indicators and the performance risk level of the target configuration scheme; The process of obtaining the performance risk assessment also includes: When the performance configuration requirements are only related to the average performance of a single energy storage device, the performance risk level is determined based on the distribution probability of the performance reliability index.

6. The method for assessing the performance risk of energy storage sites according to claim 1, characterized in that, The process of determining one or more of the target configuration schemes as the fulfillment configuration schemes includes: Based on the performance risk assessment corresponding to each of the target configuration schemes, a first performance indicator distribution trend associated with the energy storage capacity of the virtual energy storage site is generated; The performance configuration scheme is determined based on the performance probability and / or non-performance risk of the virtual energy storage station estimated according to the distribution trend of the first performance indicator.

7. The method for assessing the performance risk of energy storage sites according to claim 1 or 6, characterized in that, The target configuration scheme includes a standard configuration scheme and / or an over-configuration configuration scheme; The process of determining one or more of the target configuration schemes as the fulfillment configuration schemes includes: When the target configuration scheme includes an over-configuration scheme, a second performance indicator distribution trend related to the over-configuration ratio of the virtual energy storage station is generated based on the performance risk assessment corresponding to each target configuration scheme. The revenue of the virtual energy storage station is estimated based on the distribution trend of the second performance indicator to determine the performance configuration scheme.

8. A performance risk assessment system for energy storage sites, characterized in that, include: The data acquisition unit is used to acquire the operating dataset of the energy storage device based on its historical operating data. The scheme configuration unit is used to generate one or more target configuration schemes based on the performance configuration requirements; The site construction unit is used to select target energy storage devices from the energy storage devices according to the target configuration scheme, and construct virtual energy storage sites according to the target energy storage devices; wherein, the target configuration scheme corresponds one-to-one with the virtual energy storage sites; The simulation evaluation unit is used to determine the simulated operation data of the virtual energy storage station based on the operation dataset, so as to obtain the performance risk assessment of the target configuration scheme. The comparison and evaluation unit is used to determine one or more of the target configuration schemes as performance configuration schemes based on the performance risk assessment.

9. A device for assessing the performance risk of an energy storage site, characterized in that, include: At least one processor, and a memory communicatively connected to the at least one processor; The memory stores instructions executable by at least one of the processors, which are executed by at least one of the processors to enable the at least one processor to implement the steps of the energy storage site performance risk assessment method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, which, when executed by a processor, implement the steps of the energy storage site performance risk assessment method according to any one of claims 1 to 7.

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