Multi-dimensional monitoring method of network construction type energy storage system based on smart power grid

Abstract

The invention relates to the technical field of smart power grids, and discloses a multi-dimensional monitoring method for a network construction type energy storage system based on a smart power grid, and the method comprises the steps: collecting the reaction data of the energy storage system during a short-circuit test, carrying out the preliminary analysis of the energy storage system according to the reaction data, and obtaining a qualified index; acquiring a short-circuit capacity ratio of the energy storage system and power output maintenance time under 0-90% voltage disturbance, and performing stability analysis on the energy storage system according to the short-circuit capacity ratio and the power output maintenance time to obtain a stability index; obtaining a power fluctuation value within the power output maintenance time, and adjusting the stability index according to the power fluctuation value to obtain a stability index final value; and obtaining a comprehensive monitoring value of the energy storage system according to the qualified index and the stability index final value, and generating a comprehensive report according to the comprehensive monitoring value. According to the invention, the energy storage system can be monitored from multiple dimensions, and the operation efficiency and safety of the energy storage system are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart grid, in particular to a multi-dimensional monitoring method for network-constructed energy storage system based on smart grid. BACKGROUND

[0002] With the transformation of global energy structure and the vigorous development of renewable energy, smart grid technology has been rapidly developed and applied. In the smart grid, energy storage system as a key component, plays an important role in balancing the grid load, improving the stability of the grid, and promoting the consumption of renewable energy. However, the performance and safety of the energy storage system are directly related to the stable operation of the entire power grid, so it is particularly important to effectively monitor and manage it.

[0003] Traditional energy storage system monitoring methods mainly rely on single-dimensional indicators such as battery charging and discharging efficiency, temperature and voltage, etc. These methods often cannot fully reflect the actual operating conditions of the energy storage system, and are difficult to accurately assess potential fault risks. In addition, since the energy storage system will be affected by various factors in actual operation, such as grid fluctuations, a more comprehensive and in-depth monitoring method is needed to ensure the stability and safety of the energy storage system.

[0004] Therefore, it is necessary to provide a multi-dimensional monitoring method for network-constructed energy storage system based on smart grid to solve the problem that the traditional energy storage system monitoring method has single dimension and cannot accurately assess potential risks. SUMMARY

[0005] In view of this, the present application provides a multi-dimensional monitoring method for network-constructed energy storage system based on smart grid, which aims to solve the problem that the traditional energy storage system monitoring method has single dimension and cannot accurately assess potential risks.

[0006] The present application provides a multi-dimensional monitoring method for network-constructed energy storage system based on smart grid, comprising:

[0007] Performing a short-circuit test on the energy storage system, collecting reaction data of the energy storage system during the short-circuit test, performing preliminary analysis on the energy storage system according to the reaction data to obtain a qualified index; wherein the reaction data includes reactive current response time, reactive power fluctuation during low penetration, and fault recovery overvoltage;

[0008] Obtaining the short-circuit capacity ratio of the energy storage system and the power output maintenance time under 0-90% voltage disturbance, performing stability analysis on the energy storage system according to the short-circuit capacity ratio and the power output maintenance time to obtain a stability index;

[0009] According to the stability index size, it is judged whether adjustment is needed. If it is judged that adjustment is needed, the power fluctuation value in the power output maintaining time is obtained, the stability index is adjusted according to the power fluctuation value, and a final value of the stability index is obtained.

[0010] According to the qualified index and the final value of the stability index, a comprehensive monitoring value of the energy storage system is obtained, and a comprehensive report is generated according to the comprehensive monitoring value.

[0011] Further, when the qualified index is obtained according to the reaction data for the preliminary analysis of the energy storage system, the following steps are included.

[0012] The maximum values of the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage are respectively set in advance.

[0013] If the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage are all less than the corresponding maximum values, the qualified index is 1.

[0014] If two of the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage are less than the corresponding maximum values, the qualified index is a first index.

[0015] If one of the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage is less than the corresponding maximum value, the qualified index is a second index.

[0016] If the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage are all greater than or equal to the corresponding maximum values, the qualified index is 0.

[0017] Wherein, 1> the first index> the second index> 0.

[0018] Further, when the qualified index is obtained according to the reaction data for the preliminary analysis of the energy storage system, the following steps are included.

[0019] If the reactive current response time, the reactive power fluctuation during low penetration, or the fault recovery overvoltage is greater than the corresponding maximum value of the reaction data, the multiple of the reaction data and the corresponding maximum value is calculated, and the average value of the multiple is calculated.

[0020] According to the average value of the multiple, it is judged whether the qualified index is adjusted.

[0021] Further, when the average value of the multiple is greater than the maximum value of the multiple set in advance, it is judged that the qualified index needs to be adjusted.

[0022] If the average value of the multiple is greater than the maximum value of the multiple set in advance, it is judged that the qualified index needs to be adjusted.

[0023] Otherwise, it is determined that the qualified index is not adjusted.

[0024] Further, after it is determined that the qualified index needs to be adjusted when the multiple average value is greater than the preset maximum multiple value, the method further comprises:

[0025] calculating a difference between the multiple average value and the maximum multiple value, and denoting the difference as a first difference value;

[0026] the adjusted qualified index is a product value of the qualified index before adjustment and an adjustment coefficient, and the adjustment coefficient has a value range of (0.5, 1), and the adjustment coefficient is inversely proportional to the first difference value.

[0027] Further, when the stability index is obtained by performing stability analysis on the energy storage system according to the short-circuit capacity ratio and the power output maintenance time, the method further comprises:

[0028] setting a capacity ratio standard value and a maintenance time minimum value;

[0029] if the short-circuit capacity ratio is equal to the capacity ratio standard value and the power output maintenance time is greater than or equal to the maintenance time minimum value, the stability index is 1;

[0030] if the short-circuit capacity ratio is equal to the capacity ratio standard value and the power output maintenance time is less than the maintenance time minimum value, the stability index is a first index;

[0031] if the short-circuit capacity ratio is not equal to the capacity ratio standard value and the power output maintenance time is greater than or equal to the maintenance time minimum value, the stability index is the first index;

[0032] otherwise, the stability index is a second index;

[0033] wherein 1> the first index> the second index> 0.

[0034] Further, when it is determined whether adjustment is needed according to the stability index, the method further comprises:

[0035] if the stability index is the first index or the second index, it is determined that adjustment is needed;

[0036] if the stability index is 1, it is determined that adjustment is not needed.

[0037] Further, when the stability index is adjusted according to the power fluctuation value to obtain a final stability index value, the method further comprises:

[0038] The power fluctuation value is an average value of a power maximum difference value and a fluctuation difference value; wherein the power maximum difference value is a difference between a power maximum value and a power minimum value within a power output maintaining time, and the fluctuation difference value is a difference between a starting power value and a final power value within the power output maintaining time;

[0039] The stability index final value is a product value of an adjustment coefficient and the stability index, and the adjustment coefficient has a value range of (0.5, 1), and the adjustment coefficient is inversely proportional to the power fluctuation value.

[0040] Further, when the comprehensive monitoring value of the energy storage system is obtained according to the qualified index and the stability index final value, the following is included:

[0041] The qualified index and the stability index final value are weighted and summed to obtain the comprehensive monitoring value, and the energy storage system is unqualified early warned according to the comprehensive monitoring value.

[0042] Further, when the energy storage system is unqualified early warned according to the comprehensive monitoring value, the following is included:

[0043] A monitoring value interval is set, if the comprehensive monitoring value is greater than a maximum value of the monitoring value interval, it is determined that the energy storage system is qualified, and no unqualified early warning is performed;

[0044] If the comprehensive monitoring value is within the monitoring value interval, it is determined that the energy storage system is unqualified, and a first-level early warning is performed;

[0045] If the comprehensive monitoring value is less than a minimum value of the monitoring value interval, it is determined that the energy storage system is unqualified, and a second-level early warning is performed;

[0046] The early warning levels of the unqualified early warning are the first-level early warning and the second-level early warning from low to high.

[0047] Compared with the prior art, the beneficial effects of the present application are as follows: firstly, the reaction data of the energy storage system are collected through the short circuit test, which can effectively evaluate the instantaneous reaction capability and potential failure risk of the energy storage system. The qualified index obtained through preliminary analysis can provide a quantitative evaluation of the health status of the energy storage system, thereby providing a basis for subsequent maintenance and management. Secondly, by obtaining the short circuit capacity ratio of the energy storage system and the power output maintenance time under 0-90% voltage disturbance, the stability of the energy storage system can be analyzed in depth. The stability index obtained through stability analysis can reflect the adaptability and reliability of the energy storage system when facing power grid fluctuations. If adjustment is needed, the power fluctuation value in the power output maintenance time is obtained, and the stability index is adjusted accordingly, and the final stability index value will more accurately reflect the actual operating condition of the energy storage system. Finally, the qualified index and the final stability index value are combined to obtain the comprehensive monitoring value of the energy storage system, and a comprehensive report is generated accordingly, thereby guiding the operation and maintenance personnel to make targeted adjustments and optimization, improving the overall performance and service life of the energy storage system. In summary, the monitoring method provided by the present application can significantly improve the operating efficiency and safety of the energy storage system, reduce the failure rate, and at the same time provide strong support for the stable operation of the power grid. Through such multi-dimensional monitoring and analysis, fine management of the energy storage system can be realized, laying a solid foundation for the efficient and stable operation of the smart grid. BRIEF DESCRIPTION OF DRAWINGS

[0048] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The accompanying drawings are included to provide a description of the preferred embodiments and are not meant to limit the present application. Moreover, the same reference numerals in the attached drawings refer to the same or similar components throughout the several drawings. In the drawings:

[0049] Figure 1 A flowchart of the multi-dimensional monitoring method of the network-constructed energy storage system based on the smart grid provided by the embodiments of the present application. DETAILED DESCRIPTION

[0050] Exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail below with reference to the drawings and in conjunction with the embodiments.

[0051] In some embodiments of the present application, reference is made to Figure 1As shown, the embodiment provides a multi-dimensional monitoring method for a smart grid-based network-structured energy storage system, including the following steps:

[0052] S100, short-circuit test is performed on the energy storage system, reaction data of the energy storage system during the short-circuit test is collected, the energy storage system is preliminarily analyzed according to the reaction data, and a qualified index is obtained; wherein the reaction data includes reactive current response time, reactive power fluctuation during low penetration, and fault recovery overvoltage;

[0053] S200, short-circuit capacity ratio of the energy storage system and power output maintenance time under 0-90% voltage disturbance are obtained, stability analysis is performed on the energy storage system according to the short-circuit capacity ratio and the power output maintenance time, and a stability index is obtained;

[0054] S300, whether adjustment is needed is determined according to the stability index, if adjustment is needed, a power fluctuation value in the power output maintenance time is obtained, the stability index is adjusted according to the power fluctuation value, and a final stability index value is obtained;

[0055] S400, a comprehensive monitoring value of the energy storage system is obtained according to the qualified index and the final stability index value, and a comprehensive report is generated according to the comprehensive monitoring value.

[0056] It can be understood that, first, the reaction data of the energy storage system is collected through short-circuit test, which can effectively evaluate the instantaneous reaction ability and potential fault risk of the energy storage system. The qualified index obtained by preliminary analysis can provide a quantitative evaluation of the health status of the energy storage system, thereby providing a basis for subsequent maintenance and management. Secondly, by obtaining the short-circuit capacity ratio of the energy storage system and the power output maintenance time under 0-90% voltage disturbance, the stability of the energy storage system can be analyzed in depth. The stability index obtained by stability analysis can reflect the adaptability and reliability of the energy storage system when facing power grid fluctuations. If adjustment is needed, the power fluctuation value in the power output maintenance time is obtained, and the stability index is adjusted accordingly, and the final stability index value will more accurately reflect the actual operating condition of the energy storage system. Finally, the qualified index and the final stability index value are combined to obtain the comprehensive monitoring value of the energy storage system, and a comprehensive report is generated accordingly, thereby guiding the operation and maintenance personnel to make targeted adjustments and optimization, improving the overall performance and life of the energy storage system. In summary, the monitoring method provided by the present application can significantly improve the operation efficiency and safety of the energy storage system, reduce the failure rate, and at the same time provide strong support for the stable operation of the power grid. Through such multi-dimensional monitoring and analysis, fine management of the energy storage system can be realized, laying a solid foundation for efficient and stable operation of the smart grid.

[0057] In some embodiments of the present application, when the preliminary analysis of the energy storage system according to the reaction data is performed to obtain the qualification index, the following steps are included:

[0058] The maximum values of the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage are set in advance, respectively;

[0059] If the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage are all less than the corresponding maximum values, the qualification index is 1;

[0060] If two of the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage are less than the corresponding maximum values, the qualification index is a first index;

[0061] If one of the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage is less than the corresponding maximum value, the qualification index is a second index;

[0062] If the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage are all greater than or equal to the corresponding maximum values, the qualification index is 0;

[0063] Wherein, 1> the first index> the second index> 0.

[0064] It can be understood that by setting the maximum values of the reactive current response time, the reactive power fluctuation during low penetration, and the fault recovery overvoltage in advance, and determining the qualification index of the energy storage system according to the actual performance of these parameters, the performance and safety of the energy storage system can be effectively evaluated, which not only helps to ensure the reliability of the energy storage system in actual operation, but also provides clear guidance for the optimization and adjustment of the energy storage system. By setting different qualification indexes, the energy storage system can be managed hierarchically, thereby achieving more refined control and management.

[0065] Preferably, in the energy storage system, the maximum value of the reactive current response time is 10 ms, the maximum value of the reactive power fluctuation during low penetration is 15%, and the maximum value of the fault recovery overvoltage is 10%.

[0066] In some embodiments of the present application, when the preliminary analysis of the energy storage system according to the reaction data is performed to obtain the qualification index, the following steps are included:

[0067] If the reaction data of the reactive current response time, the reactive power fluctuation during low penetration, or the fault recovery overvoltage is greater than the corresponding maximum value, the multiple of the reaction data and the corresponding maximum value is calculated, and the average value of the multiple is calculated;

[0068] According to the average value of the multiple, it is determined whether to adjust the qualification index.

[0069] In some embodiments of the present application, the step of determining whether to adjust the qualification index based on the average multiple value comprises:

[0070] If the average multiple value is greater than a preset maximum multiple value, it is determined that the qualification index needs to be adjusted.

[0071] Otherwise, it is determined that the qualification index does not need to be adjusted.

[0072] In some embodiments of the present application, after determining that the qualification index needs to be adjusted if the average multiple value is greater than a preset maximum multiple value, the method further comprises:

[0073] calculating a difference between the average multiple value and the maximum multiple value, denoted as a first difference value;

[0074] the adjusted qualification index is a product of the qualification index before adjustment and an adjustment coefficient, and the adjustment coefficient is in a range of (0.5, 1), and the adjustment coefficient is inversely proportional to the first difference value.

[0075] It can be understood that by analyzing the reaction data of the energy storage system, such as the reactive current response time, the reactive power fluctuation, and the fault recovery overvoltage, and comparing them with the preset maximum values, a qualification index can be obtained. If the reaction data exceeds the preset maximum value, the average multiple value is calculated, and it is determined whether the qualification index needs to be adjusted based on the average multiple value. If the average multiple value exceeds the preset maximum multiple value, the qualification index needs to be adjusted, and the adjustment coefficient is inversely proportional to the difference between the average multiple value and the maximum multiple value, ensuring the continuous optimization of the system performance.

[0076] Specifically, in the energy storage system, through real-time monitoring and analysis, the reactive current response time is 8 ms, the reactive power fluctuation during low penetration is 12%, and the fault recovery overvoltage is 8%. These data are within the preset maximum value range, so the energy storage system performs well and does not need to adjust the qualification index. However, in another monitoring, the reactive current response time is 12 ms, the reactive power fluctuation during low penetration is 18%, and the fault recovery overvoltage is 11%. These data exceed the preset maximum value, and the calculated average multiple value is 1.2. Since the average multiple value is greater than the preset maximum multiple value 1.1, the qualification index needs to be adjusted. The adjustment coefficient is determined according to the difference between the average multiple value and the maximum multiple value (1.2-1.1=0.1), and the adjustment coefficient is taken as 0.8 (in the range of 0.5 to 1). Therefore, the adjusted qualification index is the product of the original qualification index and 0.8, thereby ensuring the continuous improvement and optimization of the energy storage system performance.

[0077] In some embodiments of the present application, the stability analysis of the energy storage system according to the short-circuit capacity ratio and the power output maintenance time to obtain a stability index comprises:

[0078] a capacity ratio standard value and a minimum maintenance time are set;

[0079] if the short-circuit capacity ratio is equal to the capacity ratio standard value and the power output maintenance time is greater than or equal to the minimum maintenance time, the stability index is 1;

[0080] if the short-circuit capacity ratio is equal to the capacity ratio standard value and the power output maintenance time is less than the minimum maintenance time, the stability index is a first index;

[0081] if the short-circuit capacity ratio is not equal to the capacity ratio standard value and the power output maintenance time is greater than or equal to the minimum maintenance time, the stability index is the first index;

[0082] otherwise, the stability index is a second index;

[0083] wherein 1>the first index>the second index>0.

[0084] It can be understood that the stability of the energy storage system is evaluated by analyzing the short-circuit capacity ratio and the power output maintenance time to obtain a stability index. First, a capacity ratio standard value and a minimum power output maintenance time are set. If the short-circuit capacity ratio is exactly equal to the capacity ratio standard value and the power output maintenance time is not less than the minimum power output maintenance time, the energy storage system is considered to be completely stable, and the stability index is set to 1. If the short-circuit capacity ratio is equal to the standard value but the power output maintenance time is less than the minimum value, or the short-circuit capacity ratio is not equal to the standard value but the power output maintenance time is equal to or greater than the minimum value, the stability index of the energy storage system is set to a first index between 0 and 1. If the short-circuit capacity ratio is not equal to the capacity ratio standard value and the power output maintenance time is less than the minimum maintenance time, the system stability index is set to a second index lower than the first index, which can quickly evaluate the stability of the energy storage system and provide a basis for system design and optimization.

[0085] Preferably, the capacity ratio standard value SCR=1.1, and the minimum maintenance time under 0-90% voltage disturbance is 10s.

[0086] In some embodiments of the present application, the determination of whether adjustment is needed according to the stability index comprises:

[0087] if the stability index is the first index or the second index, it is determined that adjustment is needed;

[0088] If the stability index is 1, it is determined that adjustment is not needed.

[0089] In some embodiments of the present application, when the stability index is adjusted according to the power fluctuation value to obtain a final stability index value, the adjustment includes:

[0090] The power fluctuation value is an average of a maximum power difference value and a fluctuation difference value, wherein the maximum power difference value is a difference between a maximum power value and a minimum power value within a power output maintenance time, and the fluctuation difference value is a difference between a starting power value and a final power value within the power output maintenance time.

[0091] The final stability index value is a product of an adjustment coefficient and the stability index, and the adjustment coefficient has a value range of (0.5, 1), and the adjustment coefficient is inversely proportional to the power fluctuation value.

[0092] It can be understood that, by dividing the stability index into different levels to determine whether adjustment is needed, the operation and maintenance of the energy storage system can be intuitively and clearly guided, and unnecessary operations or missed key adjustment requirements can be avoided. Taking the average of the maximum power difference value and the fluctuation difference value as the power fluctuation value can comprehensively reflect the overall fluctuation of the power output. The adjustment coefficient is inversely proportional to the power fluctuation value and has a value range of (0.5, 1). The final stability index value can be reasonably adjusted according to the fluctuation degree, so that the stability index can more accurately reflect the actual stability of the energy storage system and provide a reliable basis for subsequent decision-making.

[0093] Specifically, if the maintenance time of the system under the voltage disturbance is 12s, which is greater than the standard value of 10s, and the initial stability index is 1; after calculation, the maximum power difference value within the power output maintenance time is 8%PN, the fluctuation difference value is 5%PN, the power fluctuation value is (8%PN+5%PN) / 2=6.5%PN, and the corresponding adjustment coefficient is 0.8 (because the power fluctuation value is small, the adjustment coefficient is close to 1), then the final stability index value is 0.8×stability index.

[0094] In some embodiments of the present application, when the comprehensive monitoring value of the energy storage system is obtained according to the qualified index and the final stability index value, the obtaining includes:

[0095] The comprehensive monitoring value is obtained by weighted sum of the qualified index and the final stability index value, and unqualified early warning is performed on the energy storage system according to the comprehensive monitoring value.

[0096] In some embodiments of the present application, when the unqualified early warning is performed on the energy storage system according to the comprehensive monitoring value, the performing includes:

[0097] A monitoring value interval is set, and if the comprehensive monitoring value is greater than the maximum value of the monitoring value interval, it is determined that the energy storage system is qualified and no unqualified early warning is performed.

[0098] If the comprehensive monitoring value is within the monitoring value interval, it is judged as unqualified, and a first-level warning is performed.

[0099] If the comprehensive monitoring value is less than the minimum value of the monitoring value interval, it is judged as unqualified, and a second-level warning is performed.

[0100] The warning levels of unqualified warning are first-level warning and second-level warning from low to high.

[0101] It can be understood that first, by weighting and summing the qualified index and the stability index final value, the comprehensive monitoring value is obtained, which can comprehensively reflect the performance state of the energy storage system. The weighting and summing method allows different indicators to be given different weights according to their importance or the degree of influence on the system performance, so that the comprehensive monitoring value more accurately reflects the actual operating condition of the energy storage system. Second, according to the comprehensive monitoring value, different warning levels are set, which can provide more detailed and timely management for the operation of the energy storage system. The setting of the monitoring value interval enables the system to take corresponding warning measures according to different ranges of the comprehensive monitoring value. When the comprehensive monitoring value is greater than the maximum value of the monitoring value interval, the system judges that it is qualified and does not perform a warning, which helps to avoid unnecessary alarms and reduce the alarm fatigue of the operator. When the comprehensive monitoring value is within the monitoring value interval, less than the minimum value but greater than zero, and zero, the system performs first-level and second-level warnings respectively. Such a hierarchical warning mechanism helps to take different levels of response measures according to the severity of the problem, thereby improving the efficiency and accuracy of problem handling. In addition, the warning levels of unqualified warning are first-level warning and second-level warning from low to high. This low-to-high warning level setting helps the operator to reasonably allocate resources and attention according to the severity of the warning, to prioritize more urgent problems, and to ensure the stable operation and safety of the energy storage system. Overall, the comprehensive monitoring value and the hierarchical warning mechanism provided by the present application not only improve the operating efficiency and reliability of the energy storage system, but also reduce the maintenance cost.

[0102] Specifically, if the qualified index of the energy storage system is 0.9 and the stability index final value is 0.8, and the qualified index weight is set to 0.6 and the stability index final value weight is set to 0.4, the comprehensive monitoring value is 0.9x0.6+0.8x0.4=0.54+0.32=0.86. The preset monitoring value interval is [0.6, 0.8], and since 0.86 is greater than the maximum value 0.8 of the interval, the system judges that it is qualified and does not perform unqualified warning; if the qualified index of the energy storage system is 0.5 and the stability index final value is 0.4, the weighted sum is 0.5x0.6+0.4x0.4=0.3+0.16=0.46, and since 0.46 is less than the minimum value 0.6 of the interval and greater than 0, a second-level warning is triggered.

[0103] Preferably, the comprehensive report should comprehensively present the key information of multi-dimensional monitoring of grid-forming energy storage system, at least including the following contents: first, the monitoring purpose and scope are explained, and the monitoring of short-circuit test, stability and other aspects of grid-forming energy storage system in smart grid is clarified. Then, the reaction data of short-circuit test are presented, such as the specific values of reactive current response time, reactive power fluctuation during low penetration, and fault recovery overvoltage, and the qualified index obtained therefrom, including the comparison of each reaction data with the corresponding maximum value, the determination process of the qualified index, and if there is adjustment, the adjustment basis and result need to be explained. Then, the related contents of stability analysis are described, covering the specific data of short-circuit capacity ratio and power output maintenance time under 0-90% voltage disturbance, the determination basis and result of stability index, and if adjustment is made, the calculation of power fluctuation value (maximum power difference, fluctuation difference and their average value), the determination of adjustment coefficient and the obtaining process of stability index final value need to be explained. Then, the comprehensive monitoring value is given, and the calculation method of its weighted sum through the qualified index and the stability index final value is explained, as well as the corresponding pass / fail judgment and warning level (such as first, second and third warning or qualified). Finally, targeted suggestions are put forward, such as for the energy storage system that needs to be adjusted, the optimization direction and measures are pointed out, providing comprehensive reference for the operation and improvement of energy storage system.

[0104] In summary, the process of comprehensive monitoring and evaluation of energy storage system in the present application involves multiple key parameters and indexes, including reactive current response time, reactive power fluctuation during low penetration, fault recovery overvoltage, short-circuit capacity ratio, power output maintenance time, etc. The setting and analysis of these parameters and indexes aims to ensure the performance and safety of energy storage system, while providing in-depth understanding of system stability.

[0105] Firstly, by setting the maximum value standard, the reaction data of energy storage system can be preliminarily analyzed, so as to obtain a qualified index reflecting the performance of energy storage system in key performance indicators, which helps to quickly identify whether the system meets the predetermined performance requirements. If the reaction data exceeds the preset maximum value, the system will calculate the average value of the multiple, and decide whether to adjust the qualified index according to the average value, ensuring the continuous optimization and improvement of system performance.

[0106] Secondly, by analyzing the short-circuit capacity ratio and power output maintenance time of energy storage system, the stability index is obtained, which further refines the evaluation of stability of energy storage system, and helps to identify the response ability of the system when facing voltage disturbance. By setting the standard value of capacity ratio and the minimum value of maintenance time, the stability of energy storage system can be classified, thereby providing basis for system design and optimization.

[0107] In addition, by weighting and summing the qualified index and the stability index final value, a comprehensive monitoring value is obtained, which can comprehensively reflect the performance state of the energy storage system and provide detailed and timely management for system operation. According to different ranges of the comprehensive monitoring value, corresponding early warning measures can be taken, thereby improving the efficiency and accuracy of problem handling.

[0108] Finally, the comprehensive report should comprehensively present the key information of multi-dimensional monitoring of the energy storage system, including the monitoring purpose and range, the reaction data of the short-circuit test, the related content of stability analysis, the comprehensive monitoring value, and the targeted suggestions, which helps to improve the operation efficiency and reliability of the energy storage system.

[0109] In summary, through comprehensive monitoring and evaluation, the reliability of the energy storage system in actual operation can be ensured, and clear guidance for optimization and adjustment of the energy storage system can be provided. This comprehensive monitoring and evaluation method helps to realize fine control and management of the energy storage system, and ensures its stable operation and safety in the smart grid.

[0110] Those skilled in the art will appreciate that embodiments of the application can be provided as methods, systems or computer program products. Therefore, the application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) containing computer usable program code.

[0111] The application is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in a flow or multiple flows and / or blocks. Figure 1 The functions specified in a flow or multiple flows and / or blocks.

[0112] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including instruction means, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in a flow or multiple flows and / or blocks. Figure 1 The functions specified in a flow or multiple flows and / or blocks.

[0113] These computer program instructions can also be loaded into a computer or other programmable data processing devices, so that a series of operational steps are generated to realize the computer-implemented processes in the computer or other programmable devices, and the instructions executed in the computer or other programmable devices provide operational steps for implementing the functions specified in the flowchart Figure 1 One flowchart or multiple flowcharts and / or blocks Figure 1 One block or multiple blocks in the flowchart or multiple flowcharts and / or blocks.

[0114] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application, but not to limit it, although the above embodiments of the present application have been described in detail, those skilled in the art should understand: the specific embodiments of the present application can be modified or replaced by the equivalent, without departing from the spirit and scope of the present application, any modification or equivalent replacement, which should be covered in the protection scope of the claims of the present application.

Claims

1.A method for multi-dimension monitoring of a smart grid based networked energy storage system, characterized in that, The method comprises the following steps: short-circuit test is performed on the energy storage system, reaction data of the energy storage system during the short-circuit test is collected, the energy storage system is preliminarily analyzed according to the reaction data, and a qualified index is obtained; wherein the reaction data comprises a reactive current response time, a reactive power fluctuation during a low-pass period, and a fault recovery overvoltage; a short-circuit capacity ratio of the energy storage system and a power output maintenance time under a 0-90% voltage disturbance are obtained, the energy storage system is stably analyzed according to the short-circuit capacity ratio and the power output maintenance time, and a stability index is obtained; whether adjustment is needed is determined according to the stability index, if it is determined that adjustment is needed, a power fluctuation value in the power output maintenance time is obtained, the stability index is adjusted according to the power fluctuation value, and a final value of the stability index is obtained; a comprehensive monitoring value of the energy storage system is obtained according to the qualified index and the final value of the stability index, and a comprehensive report is generated according to the comprehensive monitoring value. 2.The method of claim 1, wherein, When the energy storage system is preliminarily analyzed according to the reaction data to obtain the qualified index, the following steps are included: maximum values of the reactive current response time, the reactive power fluctuation during the low-pass period, and the fault recovery overvoltage are set in advance respectively; if the reactive current response time, the reactive power fluctuation during the low-pass period, and the fault recovery overvoltage are all less than the corresponding maximum values, the qualified index is 1; if two of the reactive current response time, the reactive power fluctuation during the low-pass period, and the fault recovery overvoltage are less than the corresponding maximum values, the qualified index is a first index; if one of the reactive current response time, the reactive power fluctuation during the low-pass period, and the fault recovery overvoltage is less than the corresponding maximum value, the qualified index is a second index; if the reactive current response time, the reactive power fluctuation during the low-pass period, and the fault recovery overvoltage are all greater than or equal to the corresponding maximum values, the qualified index is 0; wherein 1>the first index>the second index>0. 3.The method of claim 2, wherein, When the energy storage system is preliminarily analyzed according to the reaction data to obtain the qualified index, the following steps are also included: if the reactive current response time, the reactive power fluctuation during the low-pass period, or the fault recovery overvoltage is greater than the corresponding maximum value, a multiple of the reaction data and the corresponding maximum value is calculated, and an average value of the multiple is calculated; whether the qualified index is adjusted is determined according to the average value of the multiple. 4.The method of claim 3, wherein, When whether the qualified index is adjusted is determined according to the average value of the multiple, the following steps are included: if the average value of the multiple is greater than a maximum value of the multiple set in advance, it is determined that the qualified index needs to be adjusted; otherwise, it is determined that the qualified index is not adjusted. 5.The method of claim 4, wherein, After it is determined that the qualified index needs to be adjusted when the average value of the multiple is greater than the maximum value of the multiple set in advance, the following steps are included: a difference between the average value of the multiple and the maximum value of the multiple is calculated, and the difference is recorded as a first difference value; the adjusted qualified index is a product value of the qualified index before adjustment and an adjustment coefficient, and the adjustment coefficient is in a range of (0.5, 1), the adjustment coefficient is inversely proportional to the first difference value. 6.The method of claim 1, wherein, When the energy storage system is stably analyzed according to the short-circuit capacity ratio and the power output maintenance time to obtain the stability index, the following steps are included: A capacity ratio standard value and a minimum maintenance time are set; If the short-circuit capacity ratio is equal to the capacity ratio standard value and the power output maintenance time is greater than or equal to the minimum maintenance time, the stability index is 1; If the short-circuit capacity ratio is equal to the capacity ratio standard value and the power output maintenance time is less than the minimum maintenance time, the stability index is a first index; If the short-circuit capacity ratio is not equal to the capacity ratio standard value and the power output maintenance time is greater than or equal to the minimum maintenance time, the stability index is the first index; Otherwise, the stability index is a second index; Wherein, 1>the first index>the second index>0. 7.The multi-dimension monitoring method of the smart grid based networking type energy storage system according to claim 6, wherein, When determining whether adjustment is needed according to the stability index, the method comprises: If the stability index is the first index or the second index, it is determined that adjustment is needed; If the stability index is 1, it is determined that adjustment is not needed. 8.The method of claim 7, wherein, When adjusting the stability index according to the power fluctuation value to obtain a final stability index, the method comprises: The power fluctuation value is an average value of a maximum power difference and a fluctuation difference value; wherein the maximum power difference is a difference between a maximum power value and a minimum power value within the power output maintenance time, and the fluctuation difference value is a difference between a starting power value and a final power value within the power output maintenance time; The final stability index is a product value of an adjustment coefficient and the stability index, and the adjustment coefficient has a value range of (0.5, 1); the adjustment coefficient is inversely proportional to the power fluctuation value. 9.The method of claim 1, wherein, When obtaining a comprehensive monitoring value of the energy storage system according to the qualified index and the final stability index, the method comprises: The qualified index and the final stability index are weighted and summed to obtain the comprehensive monitoring value, and the energy storage system is given an unqualified warning according to the comprehensive monitoring value. 10.The method of claim 9, wherein, When giving an unqualified warning to the energy storage system according to the comprehensive monitoring value, the method comprises: A monitoring value interval is set, if the comprehensive monitoring value is greater than a maximum value of the monitoring value interval, it is determined that the energy storage system is qualified and no unqualified warning is given; If the comprehensive monitoring value is within the monitoring value interval, it is determined that the energy storage system is unqualified and a first-level warning is given; If the comprehensive monitoring value is less than a minimum value of the monitoring value interval, it is determined that the energy storage system is unqualified and a second-level warning is given; The warning levels of the unqualified warning are the first-level warning and the second-level warning from low to high.

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