Distributed energy storage response capability assessment method and related device

Abstract

The invention belongs to an assessment method, and aims to solve the technical problem that the actual response capability of resources is difficult to assess accurately under the condition that aggregation of flexible resources such as distributed energy storage generally depends on a public communication network and the influence of communication delay on a power system is more obvious at present. According to the distributed energy storage response capability evaluation method and the related device, the user credible response degree considering the time delay influence is determined firstly, then the original response capability of an energy storage system is calculated by means of an energy storage system response capability model, and finally, the user credible response degree considering the time delay influence is combined to evaluate the response capability of the distributed energy storage system. And correcting the original response capability of the energy storage system to obtain the corrected response capability of the energy storage system, and taking the corrected response capability as an evaluation result. The method can scientifically quantify the change condition of the distributed energy storage response capability after time delay in an actual communication network environment, and more accurately reflect the availability of resources.

Description

TECHNICAL FIELD

[0001] The application belongs to an evaluation method, and particularly relates to a distributed energy storage response capability evaluation method and related device. BACKGROUND

[0002] Under the background of energy structure transformation and power grid intelligentization, user-side flexible resources are increasingly widely applied due to their flexibility, environmental protection and load proximity. Among them, distributed energy storage devices are of great significance to alleviate power supply and demand imbalance and improve power grid flexibility and stability. Therefore, accurately evaluating the response capability of distributed energy storage systems helps to develop optimal scheduling strategies and promote their participation in the power market. However, the aggregation of flexible resources such as distributed energy storage relies on public communication networks, which are open and have non-stationary fast-changing channels. With the increasing penetration of new energy, the influence of communication delay on the power system is increasingly significant, especially when distributed energy storage participates in small time scale regulation, the influence of communication channel quality is exponentially magnified. Therefore, it is necessary to consider the actual communication network environment to correct and calculate the response capability of resources to achieve more efficient and accurate regulation. SUMMARY

[0003] The application provides a distributed energy storage response capability evaluation method and related device to solve the technical problem that it is difficult to accurately evaluate the actual response capability of resources due to the aggregation of flexible resources such as distributed energy storage usually relying on public communication networks and the increasingly significant influence of communication delay on the power system.

[0004] To achieve the above-mentioned purpose, the application adopts the following technical solutions: In a first aspect, the application provides a distributed energy storage response capability evaluation method, comprising: determining a high latency rate of the energy storage device according to the latency data, and determining a user's reliable response degree considering the influence of latency in combination with the response degree representing the uncertainty factor; calculating the original response capability of the energy storage system by means of an energy storage system response capability model; wherein the energy storage system response capability model is constructed in combination with the stored energy of the energy storage system and the charging and discharging change process of the energy storage device; correcting the original response capability of the energy storage system in combination with the user's reliable response degree considering the influence of latency to obtain the corrected response capability of the energy storage system as the evaluation result.

[0005] Further, the method for determining the high latency rate of the energy storage device according to the latency data comprises:

[0006] wherein, the high latency rate is, the first iThe time delay collection duration of the energy storage device, The first i The high delay duration of the energy storage device, I The total number of energy storage devices.

[0007] Further, the calculation method of the response degree includes:

[0008] Among them, The device response capacity, The device controllable capacity.

[0009] Further, the method for determining the user's trusted response degree considering the time delay effect includes:

[0010] Among them, The user's trusted response degree considering the time delay effect, S real The user's actual response ability value after the user's load curve is corrected by the energy storage device unable to respond to the regulation instruction due to high communication time delay rate, The total response capacity of the user's energy storage device.

[0011] Further, the energy storage system response capacity model includes:

[0012] Among them, The t The energy stored in the energy storage system at the moment, The t The energy storage device charging and discharging power at the moment, positive when discharging, negative when charging, The energy storage device charging and discharging efficiency, The t The energy stored in the energy storage system at the moment +1.

[0013] Further, the constraints of the energy storage system response capacity model include the energy storage system energy quantity constraint, the energy storage device charging and discharging power constraint, and the upward and downward response capacity constraints of the energy storage device.

[0014] Further, the method for modifying the original response capacity of the energy storage system in combination with the user's trusted response degree considering the time delay effect includes: When the energy storage device discharges, the downward response capacity of the energy storage device is modified by the following formula:

[0015] Among them, a corrected energy storage device downwardly credible response capability, a maximum energy storage device upwardly response capability, a minimum physical discharge capability of the energy storage device; when the energy storage device is charging, the upwardly response capability of the energy storage device is corrected by the following formula:

[0016] wherein, a corrected energy storage device upwardly credible response capability, a maximum energy storage device upwardly response capability, a minimum physical discharge capability of the energy storage device.

[0017] In a second aspect, the present application provides a distributed energy storage response capability evaluation system, comprising: a credible response degree module configured to determine a high time delay rate of the energy storage device according to time delay data, and determine a user credible response degree considering time delay influence in combination with a response degree representing uncertainty factors; an original response capability module configured to calculate an original response capability of the energy storage system by means of an energy storage system response capability model; wherein the energy storage system response capability model is constructed in combination with stored electric energy of the energy storage system and charge-discharge change process of the energy storage device; a correction and evaluation module configured to correct the original response capability of the energy storage system in combination with the user credible response degree considering time delay influence, to obtain a corrected energy storage system response capability as an evaluation result.

[0018] In a third aspect, the present application provides an electronic device, comprising a memory and one or more processors; the memory is coupled to the processor; wherein the memory stores computer program code, the computer program code comprises computer instructions, when the computer instructions are executed by the processor, the electronic device executes the steps of the above-mentioned distributed energy storage response capability evaluation method.

[0019] In a fourth aspect, the present application provides a computer readable storage medium, the computer readable storage medium stores a computer program, when the computer program is executed by a processor, the steps of the above-mentioned distributed energy storage response capability evaluation method are implemented.

[0020] Compared with the prior art, the present application has the following beneficial effects: The application provides a distributed energy storage response capability evaluation method, which comprises the following steps: firstly, determining the user's reliable response degree considering the time delay influence; secondly, calculating the original response capability of the energy storage system by means of the response capability model of the energy storage system; and finally, correcting the original response capability of the energy storage system by combining the user's reliable response degree considering the time delay influence, so as to obtain the corrected response capability of the energy storage system as the evaluation result. When the distributed energy storage participates in the small time scale regulation and control business of the power grid, the response capability of the energy storage will obviously decrease due to the time delay. The application can scientifically and quantitatively evaluate the change of the response capability of the distributed energy storage after the time delay is considered in the actual communication network environment, more accurately reflect the availability of the resource, and ensure the reliability of the decision basis.

[0021] The application further provides a distributed energy storage response capability evaluation system, an electronic device and a computer readable storage medium, which have all the advantages of the distributed energy storage response capability evaluation method. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the application, the drawings needed to be used in the embodiments will be briefly introduced as follows. It should be understood that the following drawings only show some of the embodiments of the application, and therefore should not be regarded as a limitation to the scope. Other related drawings can also be obtained by those skilled in the art without any creative effort on the basis of the drawings.

[0023] Figure 1 FIG. 1 is a flowchart of the distributed energy storage response capability evaluation method of the application; Figure 2 FIG. 2 is another flowchart of the distributed energy storage response capability evaluation method of the application; Figure 3 FIG. 3 is the original user equivalent load curve of a certain energy storage device in the embodiments of the application; Figure 4 FIG. 4 is the user equivalent load curve of a certain energy storage device considering the time delay factor in the embodiments of the application; Figure 5 FIG. 5 is a user load curve diagram under different high delay rates in the embodiments of the application; Figure 6 FIG. 6 is a schematic diagram of the distributed energy storage response capability evaluation system of the application. DETAILED DESCRIPTION

[0024] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings for the embodiments of the present application to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the accompanying drawings can be arranged and designed in various different configurations.

[0025] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present application.

[0026] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0027] In the description of the embodiments of the present application, it should be noted that, if the orientation or position relationship indicated by the terms "upper", "lower", "horizontal", "inner" and the like is based on the orientation or position relationship shown in the drawings, or is the orientation or position relationship when the product of the present application is usually placed, which is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the indicated device or element must have a particular orientation, be constructed and operated in a particular orientation, therefore, it cannot be understood as a limitation on the present application. In addition, the terms "first", "second" and the like are only used for differentiation in description, and cannot be understood as indicating or implying relative importance.

[0028] In addition, if the term "horizontal" appears, it does not mean that the component must be absolutely horizontal, but can be slightly inclined. For example, "horizontal" only means that its direction is relatively more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly inclined.

[0029] In the description of the embodiments of the present application, it should also be noted that, unless otherwise explicitly specified and limited, if the terms "set", "mount", "connected", "connected" appear, they should be understood in a broad sense, for example, can be fixedly connected, can be detachably connected, or integrally connected; can be mechanically connected, can be electrically connected; can be directly connected, can be indirectly connected through an intermediate medium, or can be the communication inside two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0030] Distributed energy storage and other flexible resources are characterized by wide distribution, small capacity, and large quantity. Equipping each resource with a dedicated line would lead to a surge in construction costs and hinder the full utilization of resource flexibility. Public communication networks, with their wide coverage and low deployment costs, can adapt to the dispersed nature of distributed resources, thus becoming the primary aggregation method. However, the open environment of public communication networks means that their channels may be shared by multiple devices, making them susceptible to external electromagnetic interference, network congestion, and other factors. The non-stationary and rapidly changing channel characteristics stem from fluctuations in the number of users and changes in the signal propagation environment. With the increasing penetration of new energy sources, the output of wind power, photovoltaics, and other new energy sources exhibits strong volatility and intermittency, requiring flexible resources such as distributed energy storage to respond quickly to smooth out these fluctuations, placing higher demands on the reliability and timeliness of communication. These characteristics of public communication networks can affect the transmission efficiency and accuracy of control commands, thus having a greater impact on the stable operation of the power system.

[0031] Regulating on smaller timescales requires resources like distributed energy storage to rapidly receive and execute commands. In this scenario, even minor changes in communication latency can cause delays in regulation, impacting its effectiveness. As the number of distributed energy storage resources involved in regulation increases, the amount of communication data increases significantly, leading to higher loads on public communication networks, increased channel congestion probability, and more severe fluctuations in communication quality. Simultaneously, communication signals from multiple resources may interfere with each other, further amplifying the impact of channel quality on regulation, causing this impact to grow exponentially. Therefore, communication latency becomes a critical limiting factor. Assessing the responsiveness of resources such as distributed energy storage is fundamental to developing control strategies. Without considering the actual communication network environment, assessment results are based on ideal communication conditions and may deviate from actual operating conditions. When resources participate in control on smaller timescales, network factors such as communication latency directly lead to differences between the actual and theoretical responses. If strategies are developed based on uncorrected assessment results, control may fail or even affect system stability. Therefore, assessments must be corrected to reflect the actual communication network environment to ensure accuracy and provide a reliable basis for efficient and precise control.

[0032] Based on the above, this application proposes a method and related apparatus for evaluating the response capability of distributed energy storage. The following is a detailed description of this application in conjunction with embodiments and accompanying drawings.

[0033] like Figure 1 The diagram shown is a flowchart of one method for evaluating the response capability of distributed energy storage according to this application, which may include: S101, determine the high latency rate of the energy storage device based on the latency data, and determine the user's reliable response level considering the impact of latency by combining the response level characterizing the uncertainty factors.

[0034] The time delay data is a record of time delay between receiving an instruction and actually performing an action by the energy storage device. A high time delay rate can directly reflect the response reliability of the energy storage device in the time dimension.

[0035] In practical applications, uncertain factors can include power grid load fluctuations, weather condition changes, equipment sudden failures, etc. These factors can cause deviations between actual demand and expectation of the user for the energy storage system, and the response degree can be used to describe the size of the deviation. By coupling analysis of the high time delay rate and the uncertainty response degree, the user's reliable response degree considering the time delay effect is finally obtained. The essence is the reliable expected value of the actual response ability of the user for the energy storage system after correction, which can provide a key basis for subsequent correction of the original response ability of the energy storage system.

[0036] S102, calculating the original response ability of the energy storage system by means of the energy storage system response ability model; wherein the energy storage system response ability model is constructed in combination with the stored electric energy of the energy storage system and the charging and discharging change process of the energy storage device.

[0037] The core input parameters of the energy storage system response ability model are the stored electric energy and the charging and discharging change process. Among them, the actual storage capacity of the energy storage device at present directly determines the upper limit of the energy that can be adjusted by the system, and the charging and discharging change process includes dynamic parameters such as charging and discharging power, rate, duration, etc. of the energy storage device, reflecting the dynamic characteristics of the energy storage system in the energy conversion process.

[0038] The original response ability calculated by the energy storage system response ability model in the present application is the original response ability in an ideal state, i.e. the response level that the energy storage system can theoretically achieve, without considering time delay, uncertainty and other external disturbances.

[0039] S103, correcting the original response ability of the energy storage system in combination with the user's reliable response degree considering the time delay effect, to obtain the corrected energy storage system response ability as an evaluation result.

[0040] Taking the original response ability as a benchmark, the user's reliable response degree considering the time delay effect can be used as a correction coefficient to dynamically adjust the original response ability. The corrected energy storage system response ability can comprehensively reflect the real response ability of the energy storage system in the actual operating environment, and can be directly used for power grid dispatching decision, energy storage system optimization configuration and other practical scenarios.

[0041] In order to solve the communication and response delay problems encountered by distributed energy storage in the process of being integrated into the energy management system, especially in the context of large-scale integration of distributed energy storage resources, complex communication environment, especially network latency, becomes a key factor restricting the efficient management and scheduling of energy storage. The application innovatively considers the influence of network latency in the calculation of energy storage response capability, assumes that high delay rate uniformly affects all energy storage devices, proposes a latency reliability evaluation index, so that distributed energy storage can accurately correct the actual response capability of energy storage, effectively hedge the negative effects of latency, and ensure the timely execution of control instructions and energy efficiency maximization.

[0042] As shown in Figure 2 , it is another flowchart of the distributed energy storage response capability evaluation method of the application, which can include: S201, energy storage response reliability evaluation.

[0043] From the perspective of response, distributed energy storage devices may not be able to participate in this regulation due to high latency in the communication link, which is equivalent to refusing to respond, i.e. response failure. Therefore, it is necessary to evaluate the response reliability of energy storage devices. The measured latency data is introduced into the resource response capability evaluation in the form of a high latency rate index. The high latency rate is the probability of regulation failure caused by high latency in the communication link of distributed energy storage devices. It is defined as the ratio of the duration of high delay to the latency measurement time within a period of time, which can be shown as follows:

[0044] Among them, is the high latency rate, is the latency collection duration of the first energy storage device, i is the high delay duration of the first energy storage device, is the total number of energy storage devices. i I The uncertain factors are displayed by the response degree index. The response degree is the ratio of the response capacity of the device to the controllable capacity of the device. The expression of the response degree is as follows:

[0045]

[0046] Among them, is the device response capacity, is the device controllable capacity.

[0047] ​​​The equivalent load curve is a curve that statistically and quantitatively analyzes load characteristics within a cycle based on historical user operating data. Its core function is to intuitively reflect the cumulative duration of different load power levels within a cycle through the correspondence between the horizontal and vertical axes. Historical user operating data can be used to derive the cycle. T Equivalent load curve within Ψ ( P The curve can be specifically defined as follows: x-axis P The vertical axis represents the load power value. t Indicates the period T Internal load power greater than or equal to P Total duration, P `max` represents the observed peak load power value.

[0048] In the evaluation, if the response capacity of a certain unit is ∆ P If the energy storage device is unable to respond to control commands due to high communication latency, the user's equivalent load curve needs to be adjusted from... Revised to This correction is equivalent to shifting the original continuous load curve to the right in terms of load power. Its physical significance lies in quantifying the increase in net system load caused by energy storage device response failure. Duration characteristics.

[0049] like Figure 3 The figure shows the original user equivalent load curve of a certain energy storage device, as shown below. Figure 4 As shown, this is the user equivalent load curve of a certain energy storage device after considering the time delay factor.

[0050] The high latency of a certain energy storage device is used This indicates that the user's continuous load curve will become Figure 3 In The specific calculation formula is as follows:

[0051] Based on the above formula, we can obtain different... User's continuous load curve at values ​​(0.1-0.9) Change. For example... Figure 5 The figure shows a schematic diagram of user load curves under different high latency rates.

[0052] exist Figure 4 middle, The area enclosed by the user's initial equivalent load and the equivalent load curve considering the high latency of the energy storage device represents the reduction in the user's responsiveness due to the high latency. Its calculation formula is shown below:

[0053] Total available capacity of user energy storage device S all For:

[0054] Thus, the corrected actual available capacity of the user can be calculated S real :

[0055] Assuming that the response degree of the user under a certain incentive is According to the corrected actual available capacity of the user, the trusted response degree of the user considering the time delay effect is obtained As shown in the following formula:

[0056] S202, calculate the original response capacity of the energy storage system.

[0057] The stored energy of the distributed energy storage system is mainly related to its initial value and charging process, and the charging and discharging process of the energy storage device is closely related to the charging and discharging efficiency and power of the energy storage device. Therefore, the response capacity model of the energy storage system can be established in the following form:

[0058] wherein, is the energy stored in the energy storage system at time t, t is the charging and discharging power of the energy storage device at time t, positive when discharging and negative when charging, is the charging and discharging efficiency of the energy storage device, t is the energy stored in the energy storage system at time t+1. At the same time, the energy capacity constraint and the charging and discharging power constraint of the energy storage system are as follows: t

[0059]

[0060]

[0061] wherein, and are the upper and lower limits of the energy stored in the energy storage system, and are the upper and lower limits of the charging and discharging power of the energy storage device.

[0062] The maximum upward response capacity of the energy storage device ​​​Maximum downward response capability As shown in the following formula:

[0063]

[0064] S203, consider the communication delay of energy storage device response capability correction.

[0065] Taking the discharge of the energy storage device as an example, the correction method of the downward response capability of the energy storage device is given, that is, the downward trusted response (discharge) capability of the energy storage device is calculated by combining the user's trusted response degree As shown in the following formula:

[0066] Among them, The minimum physical discharge capability of the energy storage device.

[0067] Through the above method, the downward trusted response capability of the energy storage device has been calculated, and the confidence interval of the downward response capability under the confidence level L [ , ] is.

[0068]

[0069]

[0070] Among them, The upper limit of the downward trusted response capability, The lower limit of the downward trusted response capability.

[0071] Then, taking the charging of the energy storage device as an example, the correction method of the upward response capability of the energy storage device is given, that is, the upward trusted response (charging) capability of the energy storage device is calculated by combining the user's trusted response degree As shown in the following formula:

[0072] Among them, The minimum physical charging capability of the energy storage device.

[0073] Through the above calculation, the upward trusted response capability of the energy storage device has been calculated, and the confidence interval of the upward response capability under the confidence level L [ , ] is.

[0074]

[0075]

[0076] wherein, is an upper limit of the upward trusted response capability, is a lower limit of the upward trusted response capability.

[0077] The application modifies the response capability evaluation of the distributed energy storage by introducing the communication delay factor, improves the accuracy of the response capability evaluation of the energy storage system, provides more reliable decision basis for the distributed resource operator, promotes the distributed energy storage to participate in the power market more effectively, enhances the flexibility and stability of the power grid, and lays a foundation for the efficient management of large-scale distributed resources in the smart grid.

[0078] As Figure 6 shown, it is a schematic diagram of the distributed energy storage response capability evaluation system of the application, which can include: A trusted response degree module is configured to determine a high time delay rate of the energy storage device according to the time delay data, and determine the user's trusted response degree considering the time delay effect in combination with the response degree representing the uncertainty factor. An original response capability module is configured to calculate the original response capability of the energy storage system by means of the energy storage system response capability model, wherein the energy storage system response capability model is constructed in combination with the stored electric energy of the energy storage system and the charging and discharging change process of the energy storage device. A correction evaluation module is configured to correct the original response capability of the energy storage system in combination with the user's trusted response degree considering the time delay effect, to obtain the corrected energy storage system response capability as the evaluation result.

[0079] It should be noted that in several embodiments provided by the application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of each module is only a logical function division, and actual implementation can have another division manner, for example, multiple modules can be combined or integrated into another device, or some features can be ignored or not executed. The modules described as separate components can be or can not be physically separated, and the components displayed as modules can be one physical unit or multiple physical units, that is, they can be located in one place or distributed to multiple different places. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0080] In addition, each module in each embodiment of the application can be integrated in one processing unit, or each module can exist physically, or two or more modules can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0081] The electronic device can include one or more processors, a memory, and a communication interface.

[0082] The memory, the communication interface, and the processor are coupled together, for example, through a bus.

[0083] The communication interface is configured to perform data transmission with other devices. The memory stores computer program codes. The computer program codes include computer instructions, which, when executed by the processor, cause the electronic device to perform the steps of the distributed energy response capability evaluation method.

[0084] The processor can be a processor or a controller, for example, a Central Processing Unit (CPU), a general-purpose processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other programmable logic device, transistor logic device, hardware component, or any combination thereof. The processor can implement or execute various exemplary logical blocks, modules, and circuits described in connection with the present disclosure. The processor can also be a combination of computing functions, such as one or more microprocessor combinations, combinations of DSP and microprocessor, and the like. The processor can be used to support the electronic device to perform the method steps provided in the above embodiments.

[0085] The bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, or the like. The bus can be divided into an address bus, a data bus, a control bus, and the like.

[0086] The computer readable storage medium provided by the embodiments of the present application stores a computer program, and the computer program is executed by the processor to implement the steps of the distributed energy response capability evaluation method.

[0087] The computer readable storage medium involved in the present application includes random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register, hard disk, removable disk, CD ROM, or any other form of storage medium known in the technical field.

[0088] The above merely provides preferred embodiments of the present application and is not intended to limit the present application. The present application can have various modifications and changes for those skilled in the art. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall fall into the scope of protection of the present application.

Claims

1. A method for evaluating the response capability of distributed energy storage, characterized in that, include: Based on the latency data, the high latency rate of the energy storage device is determined, and combined with the response level that characterizes the uncertainty factors, the user's reliable response level considering the impact of latency is determined. The original response capability of the energy storage system is calculated using an energy storage system response capability model; wherein, the energy storage system response capability model is constructed by combining the stored electrical energy of the energy storage system and the charging and discharging process of the energy storage device. By taking into account the user's reliable response level and the impact of latency, the original response capability of the energy storage system is corrected to obtain the corrected response capability of the energy storage system, which is used as the evaluation result.

2. The method for evaluating the response capability of distributed energy storage according to claim 1, characterized in that, The method for determining the high latency rate of an energy storage device based on latency data includes: in, For high latency, For the first i The duration of time delay data collection for the energy storage device. For the first i The high latency duration of Taiwan's energy storage devices I This represents the total number of energy storage devices.

3. The method for evaluating the response capability of distributed energy storage according to claim 1, characterized in that, The method for calculating the degree of response includes: in, For equipment response capacity, This refers to the controllable capacity of the equipment.

4. The method for evaluating the response capability of distributed energy storage according to claim 1, characterized in that, Methods for determining the reliability of user responses that take into account the impact of latency include: in, To account for the impact of latency on the reliability of user responses, S real This represents the actual responsiveness of the user after correcting the user's equivalent load curve due to the energy storage device's inability to respond to control commands caused by high communication latency. This refers to the total responsive capacity of the user's energy storage devices.

5. The method for evaluating the response capability of distributed energy storage according to claim 1, characterized in that, The energy storage system response capability model includes: in, for t The electrical energy stored in the energy storage system at all times for t The charging and discharging power of the energy storage device is positive during discharging and negative during charging. To improve the charging and discharging efficiency of energy storage devices. for t The electrical energy stored in the energy storage system at time +1.

6. The method for evaluating the response capability of distributed energy storage according to claim 5, characterized in that, The constraints of the energy storage system response capability model include the energy constraints of the energy storage system, the charging and discharging power constraints of the energy storage device, and the upward and downward response capability constraints of the energy storage device.

7. The method for evaluating the response capability of distributed energy storage according to claim 5, characterized in that, The method for correcting the original response capability of an energy storage system by taking into account the user's reliable response level in light of time delay includes: When the energy storage device discharges, its down-response capability is corrected using the following formula: in, For the corrected downside reliable response capability of energy storage devices, This represents the maximum downlink response capability of the energy storage device. This refers to the minimum physical discharge capacity of the energy storage device. When charging an energy storage device, its upward response capability is corrected using the following formula: in, To improve the reliability of energy storage devices, This represents the maximum upward response capability of the energy storage device. Minimum physical charging capacity for energy storage devices.

8. A distributed energy storage response capability assessment system, characterized in that, include: The trusted response level module is used to determine the high latency rate of the energy storage device based on latency data, and combined with the response level that characterizes uncertainty factors, to determine the user's trusted response level considering the impact of latency. The original response capability module is used to calculate the original response capability of the energy storage system with the help of the energy storage system response capability model; wherein, the energy storage system response capability model is constructed by combining the stored electrical energy of the energy storage system and the charging and discharging change process of the energy storage device. The correction evaluation module is used to correct the original response capability of the energy storage system by taking into account the user's reliable response level that takes into account the impact of time delay, and obtain the corrected response capability of the energy storage system as the evaluation result.

9. An electronic device, characterized in that, include: A memory, one or more processors; the memory is coupled to the processors; wherein the memory stores computer program code, the computer program code including computer instructions, and when the computer instructions are executed by the processor, the electronic device performs the steps of the distributed energy storage response capability assessment method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the distributed energy storage response capability assessment method as described in any one of claims 1-7.

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