Energy storage system converter resonance suppression method and system

Abstract

The invention belongs to the technical field of converter resonance suppression, and particularly relates to an energy storage system converter resonance suppression method and system. According to the method, the resonance problem can be quickly positioned, targeted measures can be taken, the fluctuation time of the energy storage system is shortened, the regulation and control precision is improved, the dynamic change of the energy storage system and the power grid can be adapted by utilizing historical data of the evaluation time period and dynamic coefficient adjustment of the power grid operation state, and the method has relatively high adaptive capacity; the coupling effect of the internal resonance characteristics of the energy storage system and the external power grid state is comprehensively considered, and through fusion of two regulation and control coefficients, internal and external collaborative optimization of the energy storage system is realized, the resonance occurrence probability is reduced, a resonance suppression strategy can be continuously optimized, and the reliability and stability of long-term operation of the energy storage system are improved. By effectively inhibiting the resonance phenomenon, energy loss and equipment damage caused by resonance are reduced, the service life of the energy storage system is prolonged, stable operation of a power grid is guaranteed, and efficient utilization of the energy storage system is promoted.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of resonant suppression of a converter, and particularly relates to a resonant suppression method and system for a converter of an energy storage system. BACKGROUND

[0002] With the rapid development of renewable energy and the continuous progress of power electronic technology, energy storage systems are increasingly widely used in power grids. Energy storage systems not only balance the supply and demand of power grids, improve the stability and reliability of power grids, but also release electrical energy during power load peaks, effectively relieving the pressure on power grids. However, in the actual operation of energy storage systems, the performance stability and reliability of the converter, which is a key device connecting the energy storage battery and the power grid, have an important influence on the overall operation effect of the energy storage system.

[0003] In an energy storage system, the converter is responsible for converting direct current in the energy storage battery into alternating current, or converting alternating current in the power grid into direct current for storage. During this process, due to the switching characteristics of power electronic devices and the fluctuations of the power grid, the output current of the converter often contains certain harmonic components. These harmonic components not only reduce power quality, but also may cause resonance phenomena in the energy storage system, leading to equipment damage, system instability, and even power grid failure.

[0004] Resonance is a common electrical problem in energy storage systems, which usually occurs at the connection between the energy storage converter and the energy storage converter, or between the energy storage system and the power grid. When certain parameters (such as inductance, capacitance, etc.) in the system meet certain conditions, a resonant circuit may be formed, causing severe fluctuations in current and voltage. Such fluctuations not only affect the normal operation of the energy storage system, but also may impact the power grid, causing greater failures.

[0005] With the increasing complexity of the power grid and the size of the energy storage system, in order to suppress the resonance phenomenon in the energy storage system and improve the stability and reliability of the system, scholars and engineers at home and abroad have conducted a lot of research and exploration. The limitations of traditional methods are increasingly apparent. The existing energy storage system operates in a complex and variable environment, and the resonant frequency is affected by many factors. Single or static control strategies are difficult to adapt to dynamic changes, and they fail to fully integrate internal data of the energy storage system and external state information of the power grid, making it impossible to achieve system-level collaborative optimization. SUMMARY

[0006] The purpose of the present application is to provide a resonant suppression method for a converter of an energy storage system, which can obtain real-time energy storage system operation data and power grid state information, extract the resonance change rule, and generate an accurate control strategy combined with the current frequency.

[0007] The technical solutions adopted by the present application are as follows:

[0008] A method for suppressing resonance of a power storage system converter, comprising:

[0009] Obtaining power storage operation data of the power storage system, determining whether the power storage operation data meets a first preset condition, if not, determining that the power storage system is in resonance abnormality, and obtaining current resonance frequency information of the power storage system converter;

[0010] Constructing an evaluation period, obtaining historical resonance data of the power storage system converter in the evaluation period, and obtaining corresponding resonance change information according to the historical resonance data;

[0011] Obtaining a risk resonance node according to the resonance change information and the current resonance frequency information, and obtaining a first control coefficient according to the current resonance frequency information and the risk resonance node;

[0012] Obtaining grid operation state data in the evaluation period, and obtaining a second control coefficient according to the grid operation state data;

[0013] Obtaining a resonance control value according to the current resonance frequency information, the first control coefficient and the second control coefficient, obtaining a corresponding resonance suppression strategy according to the resonance control value, and controlling the resonance of the power storage system converter according to the resonance suppression strategy;

[0014] Constructing a strategy update period, obtaining operation data of the power storage system in the strategy update period, and returning the operation data of the power storage system in the update period to the step of determining whether the power storage operation data meets the first preset condition as the power storage operation data.

[0015] In a preferred scheme, the step of obtaining power storage operation data of the power storage system, determining whether the power storage operation data meets a first preset condition, if not, determining that the power storage system converter is in resonance abnormality, and obtaining current resonance frequency information of the power storage system converter, comprises:

[0016] Obtaining power storage operation data of the power storage system;

[0017] Obtaining corresponding multiple power storage voltage state values and corresponding multiple power storage current state values according to the power storage operation data;

[0018] Obtaining a power storage state value according to the multiple power storage voltage state values and the corresponding multiple power storage current state values;

[0019] Obtaining a power storage state threshold value;

[0020] Determining whether the power storage state value exceeds the power storage state threshold value;

[0021] If the power storage state value exceeds the power storage state threshold value, determining that the power storage system is in resonance abnormality, and obtaining current resonance frequency information of the power storage system converter.

[0022] In a preferred solution, the step of constructing an evaluation period, obtaining historical resonance data of the energy storage system converter in the evaluation period, and obtaining corresponding resonance change information according to the historical resonance data comprises:

[0023] constructing an evaluation period;

[0024] obtaining historical resonance data of the energy storage system converter in the evaluation period;

[0025] obtaining a plurality of historical resonance frequency values corresponding to the historical resonance data;

[0026] obtaining a historical resonance change value according to the plurality of historical resonance frequency values;

[0027] obtaining a resonance change evaluation threshold value;

[0028] judging whether the historical resonance change value exceeds the resonance change evaluation threshold value;

[0029] if the historical resonance change value does not exceed the resonance change evaluation threshold value, determining that the resonance change information is stable;

[0030] if the historical resonance change value exceeds the resonance change evaluation threshold value, determining that the resonance change information is fluctuant.

[0031] In a preferred solution, the step of obtaining a risk resonance node according to the resonance change information and current resonance frequency information, and obtaining a first regulation coefficient according to the current resonance frequency information and the risk resonance node comprises:

[0032] obtaining a historical resonance change value corresponding to the resonance change information;

[0033] obtaining a risk node table, wherein the risk node table comprises a plurality of historical resonance change interval values, and each historical resonance change interval value comprises a plurality of risk resonance nodes corresponding to resonance frequency information;

[0034] obtaining a target historical resonance change interval value corresponding to the historical resonance change value;

[0035] obtaining target resonance frequency information from the target historical resonance change interval value according to the current resonance frequency information;

[0036] obtaining a risk resonance node corresponding to the target historical resonance change interval value and the target resonance frequency information from the risk node table;

[0037] obtaining a change time between the current resonance frequency information and the risk resonance node;

[0038] obtaining a resonance frequency difference value between the current resonance frequency information and the risk resonance node;

[0039] obtaining an external interference compensation value;

[0040] The first control coefficient is obtained according to the resonance frequency difference, the external interference compensation value and the change time.

[0041] In a preferred embodiment, the step of obtaining the external interference compensation value comprises:

[0042] The external interference data of the energy storage system in the evaluation period is obtained.

[0043] The corresponding plurality of electromagnetic interference intensity information is obtained according to the external interference data.

[0044] The plurality of energy storage element health state values corresponding to each electromagnetic interference intensity information in the evaluation period is obtained.

[0045] The external interference compensation value is obtained according to the plurality of energy storage element health state values and the plurality of electromagnetic interference intensity information.

[0046] In a preferred embodiment, the step of obtaining the second control coefficient according to the grid operation state data in the evaluation period comprises:

[0047] The grid operation state data in the evaluation period is obtained.

[0048] The corresponding plurality of grid load values is obtained according to the grid operation state data.

[0049] The grid standard load value is obtained.

[0050] The second control coefficient is obtained according to the grid standard load value and the plurality of grid load values.

[0051] In a preferred embodiment, the step of obtaining the resonance control value according to the current resonance frequency information, the first control coefficient and the second control coefficient, obtaining the corresponding resonance suppression strategy according to the resonance control value, and controlling the resonance of the energy storage system converter according to the resonance suppression strategy comprises:

[0052] The resonance control value is obtained according to the current resonance frequency information, the first control coefficient and the second control coefficient.

[0053] The control table is obtained, wherein the control table comprises a plurality of resonance control interval values and the corresponding resonance suppression strategy of each resonance control interval value.

[0054] The target resonance control interval value is obtained according to the resonance control value.

[0055] The corresponding resonance suppression strategy is obtained from the control table according to the target resonance control interval value.

[0056] The resonance of the energy storage system converter is controlled according to the resonance suppression strategy.

[0057] In a preferred solution, a strategy update cycle is constructed, operation data of the energy storage system in the strategy update cycle is obtained, and the operation data of the energy storage system in the update cycle is returned as the energy storage operation data to the step of judging whether the energy storage operation data meets the first preset condition, comprising:

[0058] A time node of regulating the resonant of the energy storage system converter according to the resonance suppression strategy is obtained, and is marked as a start node of the update cycle;

[0059] An update standard duration is obtained;

[0060] A resonance regulation safety value is obtained;

[0061] An update duration is obtained according to the resonance regulation value, the update standard duration and the resonance regulation safety value;

[0062] An end node of the update cycle is obtained according to the start node of the update cycle and the update duration;

[0063] The update cycle is obtained according to the start node of the update cycle and the end node of the update cycle;

[0064] Operation data of the energy storage system in the strategy update cycle is obtained;

[0065] The operation data of the energy storage system in the update cycle is returned as the energy storage operation data to the step of judging whether the energy storage operation data meets the first preset condition.

[0066] The application also provides an energy storage system converter resonance suppression system for the above-mentioned energy storage system converter resonance suppression method, comprising:

[0067] A resonance judgment module is used to obtain energy storage operation data of the energy storage system, judge whether the energy storage operation data meets the first preset condition, if not, determine that the energy storage system resonates abnormally, and obtain current resonance frequency information of the energy storage system converter;

[0068] A resonance change module is used to construct an evaluation period, obtain historical resonance data of the energy storage system converter in the evaluation period, and obtain corresponding resonance change information according to the historical resonance data;

[0069] A first regulation module is used to obtain a risk resonance node according to the resonance change information and the current resonance frequency information, and obtain a first regulation coefficient according to the current resonance frequency information and the risk resonance node;

[0070] A second regulation module is used to obtain grid operation state data in the evaluation period, and obtain a second regulation coefficient according to the grid operation state data;

[0071] The resonance regulation module is configured to obtain a resonance regulation value according to the current resonance frequency information, the first regulation coefficient and the second regulation coefficient, obtain a corresponding resonance suppression strategy according to the resonance regulation value, and regulate the resonance of the energy storage system converter according to the resonance suppression strategy.

[0072] The resonance feedback module is configured to construct a strategy update period, obtain operation data of the energy storage system in the strategy update period, and return the operation data of the energy storage system in the update period to the step of judging whether the energy storage operation data meets the first preset condition as energy storage operation data.

[0073] In addition, an energy storage system converter resonance suppression terminal is provided, which comprises:

[0074] one or more processors;

[0075] a storage device having one or more programs stored thereon;

[0076] When the one or more programs are executed by the one or more processors, the one or more processors implement the energy storage system converter resonance suppression method.

[0077] The technical effects achieved by the present application are as follows:

[0078] The present application can quickly locate the resonance problem and take targeted measures, reduce the fluctuation time of the energy storage system, improve the regulation accuracy, and adjust the historical data of the evaluation period and the dynamic coefficient of the power grid operation state, which can adapt to the dynamic changes of the energy storage system and the power grid, has strong self-adaptive ability, comprehensively considers the coupling effect of the internal resonance characteristics of the energy storage system and the external power grid state, realizes the collaborative optimization of the energy storage system inside and outside through the fusion of the two regulation coefficients, reduces the resonance probability, and through the cyclic feedback mechanism, the latest operation data is included in the regulation, which can continuously optimize the resonance suppression strategy, improve the reliability and stability of the long-term operation of the energy storage system, effectively suppress the resonance phenomenon, reduce the energy loss and equipment damage caused by resonance, prolong the service life of the energy storage system, and at the same time, ensure the stable operation of the power grid, promote the efficient use of the energy storage system. BRIEF DESCRIPTION OF DRAWINGS

[0079] Figure 1 is a method flowchart provided by the present application;

[0080] Figure 2 is a system module diagram provided by the present application. DETAILED DESCRIPTION

[0081] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0082] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to one skilled in the art that the present application can be practiced without the specific details set forth in this description. In other instances, well-known methods, procedures, components, and circuits have not been described in detail so as not to unnecessarily obscure aspects of the present application.

[0083] It should also be noted that, as used in the specification and in the claims, the article "a", "an", or "the" is intended to mean that there are one or more of the features or elements. The articles "a" and "an" are to be construed to mean "one or more" unless specified otherwise or clear from context to be directed to a singular form.

[0084] It should also be noted that, as used in the specification and in the claims, the article "a", "an", or "the" is intended to mean that there are one or more of the features or elements. The articles "a" and "an" are to be construed to mean "one or more" unless specified otherwise or clear from context to be directed to a singular form.

[0085] Reference will now be made to the drawings, wherein Figure 1 As shown in the drawings, a method for suppressing resonance of an energy storage system converter is provided, comprising:

[0086] S1, obtaining energy storage operation data of the energy storage system, determining whether the energy storage operation data meets a first preset condition, if not, determining that the energy storage system is resonant abnormally, and obtaining current resonance frequency information of the energy storage system converter;

[0087] S2, constructing an evaluation period, obtaining historical resonance data of the energy storage system converter in the evaluation period, and obtaining corresponding resonance change information according to the historical resonance data;

[0088] S3, obtaining a risk resonance node according to the resonance change information and the current resonance frequency information, and obtaining a first control coefficient according to the current resonance frequency information and the risk resonance node;

[0089] S4, obtaining grid operation state data in the evaluation period, and obtaining a second control coefficient according to the grid operation state data;

[0090] S5, obtaining a resonance control value according to the current resonance frequency information, the first control coefficient and the second control coefficient, obtaining a corresponding resonance suppression strategy according to the resonance control value, and controlling the resonance of the energy storage system converter according to the resonance suppression strategy;

[0091] S6, constructing a strategy update period, obtaining operation data of the energy storage system in the strategy update period, and returning the operation data of the energy storage system in the update period to the step of determining whether the energy storage operation data meets the first preset condition as the energy storage operation data.

[0092] As in the above steps S1 to S6, the energy storage operation data of the energy storage system is obtained, and it is judged whether the energy storage operation data is within the normal range by using the preset condition. If the energy storage operation data is abnormal, it indicates that there is a resonance problem in the energy storage system, and the current resonance frequency information of the converter of the energy storage system is obtained, a specific evaluation period is constructed, historical resonance data in the period is collected, the resonance change rule is obtained, the resonance change information is extracted, based on the resonance change information and the current resonance frequency, the first control coefficient for adjusting the resonance is generated, at the same time, according to the grid operation state data (such as current fluctuation, voltage fluctuation, etc.), the second control coefficient is calculated, the current resonance frequency, the first control coefficient and the second control coefficient are comprehensively generated, and the resonance control value is generated. According to the control value, the corresponding resonance suppression strategy is matched, such as frequency adjustment, circuit impedance adjustment or control parameter optimization, etc. In the control process, the strategy update period is established, the running state of the energy storage system is continuously monitored, and the new data is fed back to the step of judging whether the energy storage operation data meets the first preset condition, so as to realize closed-loop control. According to the generated resonance suppression strategy, the converter is dynamically controlled to suppress or reduce the resonance effect, so as to ensure the stable operation of the energy storage system, quickly locate the resonance problem and take targeted measures, reduce the fluctuation time of the energy storage system, improve the control precision, and adjust the historical data of the evaluation period and the dynamic coefficient of the grid operation state. Adapt to the dynamic changes of the energy storage system and the grid, have strong self-adaptive ability, comprehensively consider the coupling effect of the internal resonance characteristics of the energy storage system and the external grid state, realize the collaborative optimization of the energy storage system inside and outside through the fusion of the two control coefficients, reduce the resonance probability, and through the cycle feedback mechanism, the latest operation data is included in the control, which can continuously optimize the resonance suppression strategy, improve the reliability and stability of the long-term operation of the energy storage system, effectively suppress the resonance phenomenon, reduce the energy loss and equipment damage caused by resonance, prolong the service life of the energy storage system, and at the same time ensure the stable operation of the grid, promote the efficient use of the energy storage system.

[0093] In a preferred embodiment, the step of obtaining energy storage operation data of the energy storage system, judging whether the energy storage operation data meets the first preset condition, and determining that the converter of the energy storage system resonates abnormally if it does not meet the first preset condition, and obtaining the current resonance frequency information of the converter of the energy storage system, comprises:

[0094] S101, obtaining energy storage operation data of the energy storage system;

[0095] S102, obtaining a plurality of energy storage voltage state values and a plurality of energy storage current state values corresponding to the energy storage operation data;

[0096] S103, obtaining an energy storage state value according to the plurality of energy storage voltage state values and the plurality of energy storage current state values corresponding thereto;

[0097] S104, obtaining an energy storage state threshold;

[0098] S105, determining whether the energy storage state value exceeds the energy storage state threshold value;

[0099] If the energy storage state value exceeds the energy storage state threshold value, it is determined that the energy storage system resonates abnormally, and the current resonant frequency information of the energy storage system converter is obtained.

[0100] In the above steps S101 to S105, the operating data of the energy storage system is obtained in real time, including key parameters such as voltage and current, the obtained operating data is decomposed into a plurality of energy storage voltage state values and energy storage current state values, a multi-dimensional state data matrix is formed, which is used to accurately reflect the working state of the energy storage device, and a energy storage state value is calculated according to the extracted voltage and current state values. The calculation formula of the energy storage state value is , wherein is the energy storage state value, i represents the number of the plurality of energy storage voltage state values and the number of the plurality of energy storage current state values corresponding thereto, i = 1, 2, 3…n, is the i-th energy storage voltage state value, is the i-th energy storage current state value, and a energy storage state threshold value is set as a reference standard for determining whether the energy storage system is normal or not. The threshold value is usually obtained according to the device specifications, design standards or historical operation data statistics. The calculated energy storage state value is compared with the energy storage state threshold value. If the energy storage state value exceeds the threshold value, it indicates that the energy storage system may have abnormality, specifically the resonance phenomenon. After determining that the energy storage system resonates abnormally, the resonant frequency of the energy storage system converter is further extracted, which can quickly find the abnormal state of the energy storage system and improve the efficiency of problem positioning. The energy storage state value calculated by using the multi-dimensional voltage and current data can comprehensively and accurately reflect the running health status of the energy storage system, and reduce the misjudgment caused by single parameter analysis.

[0101] In a preferred embodiment, the step of constructing an evaluation period, obtaining historical resonance data of the energy storage system converter in the evaluation period, and obtaining corresponding resonance change information according to the historical resonance data comprises:

[0102] S201, constructing an evaluation period;

[0103] S202, obtaining historical resonance data of the energy storage system converter in the evaluation period;

[0104] S203, obtaining a plurality of historical resonance frequency values according to the historical resonance data;

[0105] S204, obtaining a historical resonance change value according to the plurality of historical resonance frequency values;

[0106] S205, obtaining a resonance change evaluation threshold value;

[0107] S206, determining whether the historical resonance change value exceeds a resonance change evaluation threshold value;

[0108] If the historical resonance change value does not exceed the resonance change evaluation threshold value, it is determined that the resonance change information is stable;

[0109] If the historical resonance change value exceeds the resonance change evaluation threshold value, it is determined that the resonance change information is fluctuant.

[0110] In the steps S201 to S206 described above, a specific time window is set as an evaluation period for concentrating the resonance data in the period, and the evaluation period can be dynamically adjusted according to the operation characteristics of the energy storage system, for example, in units of minutes, hours or days. In the set evaluation period, the historical resonance data of the energy storage system converter is extracted to ensure that the data covers the resonance characteristics of the period. A plurality of historical resonance frequency values are obtained from the historical resonance data. The historical resonance change value is calculated according to the extracted frequency values. The calculation formula of the historical resonance change value is , wherein is the historical resonance change value, i is the number of the plurality of historical resonance frequency values, t = 2, 3, 4…r, is the tth historical resonance frequency value, is the (t-1)th historical resonance frequency value. A resonance change evaluation threshold value is set for judging the stability of the resonance characteristics of the energy storage system. The threshold value can be determined based on historical data analysis, equipment design specification or power grid operation standard. The calculated historical resonance change value is compared with the evaluation threshold value. If it does not exceed the threshold value, it is determined that the resonance change information is stable, indicating that the resonance characteristics of the energy storage system fluctuate less in the evaluation period. If it exceeds the threshold value, it is determined that the resonance change information is fluctuant, indicating that there may be resonance abnormalities or unstable operation of the energy storage system. The resonance characteristics of the energy storage system can be continuously and dynamically monitored to provide a basis for judging the stability of the energy storage system, which can adapt to different energy storage systems or power grid conditions.

[0111] In a preferred embodiment, the step of obtaining a risk resonance node according to the resonance change information and the current resonance frequency information, and obtaining a first regulation coefficient according to the current resonance frequency information and the risk resonance node, comprises:

[0112] S301, obtaining a corresponding historical resonance change value according to the resonance change information;

[0113] S302, obtaining a risk node table, wherein the risk node table comprises a plurality of historical resonance change interval values, and each historical resonance change interval value comprises a plurality of risk resonance nodes corresponding to the resonance frequency information;

[0114] S303, obtaining a corresponding target historical resonance change interval value according to the historical resonance change value;

[0115] S304, obtaining target resonance frequency information from the target historical resonance change interval value according to the current resonance frequency information;

[0116] S305, obtaining the corresponding risk resonance node from the risk node table according to the target historical resonance change interval value and the target resonance frequency information;

[0117] S306, obtaining the change time between the current resonance frequency information and the risk resonance node;

[0118] S307, obtaining the resonance frequency difference value between the current resonance frequency information and the risk resonance node;

[0119] S308, obtaining the external interference compensation value;

[0120] S309, obtaining the first control coefficient according to the resonance frequency difference value, the external interference compensation value and the change time.

[0121] As described above in steps S301 to S309, the evaluation of the historical evaluation period on the historical resonance change value can obtain specific resonance change information including stability and fluctuation, and the historical resonance change value used in the process of extracting this judgment resonance change information is the corresponding historical resonance change value. A risk node table is created to record multiple historical resonance change intervals and their corresponding resonance frequency information and risk nodes. Each interval and frequency information reflects the high-risk point of possible resonance under different conditions. According to the current historical resonance change value, the corresponding target resonance change interval value is matched from the risk node table. Within the target resonance change interval, the target resonance frequency most relevant to the current resonance frequency information is further matched. The target resonance change interval value and the target resonance frequency information are used to extract the corresponding risk resonance node from the risk node table. The change time and the frequency difference value between the current resonance frequency information and the risk resonance node are calculated respectively. External environmental factors such as magnetic field interference, load fluctuation, temperature change, etc. are considered, and an external interference compensation value is introduced to improve the accuracy of the control coefficient calculation. The first control coefficient is calculated by comprehensively considering the resonance frequency difference value, the external interference compensation value and the change time. The calculation formula of the first control coefficient is , wherein represents the first control coefficient, represents the resonance frequency difference value, represents the change time, represents the external interference compensation value. By combining the historical resonance change value and the current resonance frequency information, the risk resonance node that may cause the instability of the energy storage system can be quickly located, the accuracy of abnormal identification is improved, different resonance conditions can be flexibly responded to, and the external interference compensation value is introduced to make the control more comprehensive and accurate.

[0122] In a preferred embodiment, the step of obtaining the external interference compensation value comprises:

[0123] S3081、Obtain external interference data of the energy storage system in the evaluation period;

[0124] S3082、Obtain corresponding multiple electromagnetic interference intensity information according to the external interference data;

[0125] S3083、Obtain multiple energy storage element health state values corresponding to each electromagnetic interference intensity information in the evaluation period;

[0126] S3084、Obtain the external interference compensation value according to the multiple energy storage element health state values and the multiple electromagnetic interference intensity information.

[0127] As described above in steps S3081 to S3084, in the set evaluation period, external interference data such as electromagnetic radiation, frequency spectrum interference or other physical interference parameters around the energy storage system are collected, corresponding electromagnetic interference intensity information is obtained from the external interference data, the influence of the interference source on the energy storage system is quantified, the electromagnetic interference intensity is usually represented by indicators such as electric field strength (V / m) or magnetic field strength (A / m), in the evaluation period, the energy storage element health state values corresponding to each electromagnetic interference intensity information are extracted, which reflect the performance of the energy storage system elements under interference conditions, such as capacity attenuation rate, temperature rise change, etc., according to the relationship between the energy storage element health state values and the electromagnetic interference intensity information, the external interference compensation value is calculated, and the calculation formula of the external interference compensation value is , wherein is the external interference compensation value, k is the number of the multiple electromagnetic interference intensity information, k = 1, 2, 3…d, i is the number of the multiple energy storage element health state values corresponding to each electromagnetic interference intensity information, wherein a = 1, 2, 3…b, is the a-th energy storage element health state value of each electromagnetic interference intensity information, which ensures the dynamic response capability of the energy storage system to external electromagnetic interference, combines external electromagnetic interference with energy storage system resonance regulation, makes the resonance regulation coefficient more comprehensive and accurate, and improves the suppression effect.

[0128] In a preferred embodiment, the step of obtaining the external interference compensation value comprises:

[0129] S401、Obtain the grid operation state data in the evaluation period;

[0130] S402、Obtain corresponding multiple grid load values according to the grid operation state data;

[0131] S403、Obtain the grid standard load value;

[0132] S404, obtaining a second regulation coefficient according to the grid standard load value and the plurality of grid load values.

[0133] As in the above steps S401 to S404, the grid operating state data is collected in the set evaluation period, including the grid frequency, voltage level, power factor and other key operating parameters. According to the grid operating state data, the grid load value in the evaluation period is extracted, the grid standard load value is obtained, the grid standard load value can be determined based on historical data analysis, equipment design specification or grid operation standard, the second regulation coefficient is calculated, and the calculation formula of the second regulation coefficient is , wherein is the second regulation coefficient, h is the number of the plurality of grid load values, h = 1, 2, 3…m, is the hth grid load value, is the grid standard load value. When facing complex grid operating environment, dynamic generation of regulation coefficient improves the accuracy of data acquisition.

[0134] In a preferred embodiment, the resonance regulation value is obtained according to the current resonance frequency information, the first regulation coefficient and the second regulation coefficient, the corresponding resonance suppression strategy is obtained according to the resonance regulation value, and the step of regulating the resonance of the energy storage system converter according to the resonance suppression strategy comprises:

[0135] S501, obtaining a resonance regulation value according to current resonance frequency information, a first regulation coefficient and a second regulation coefficient;

[0136] S502, obtaining a regulation table, wherein the regulation table comprises a plurality of resonance regulation interval values and a resonance suppression strategy corresponding to each resonance regulation interval value;

[0137] S503, obtaining a target resonance regulation interval value according to the resonance regulation value;

[0138] S504, obtaining a corresponding resonance suppression strategy from the regulation table according to the target resonance regulation interval value;

[0139] S505, regulating the resonance of the energy storage system converter according to the resonance suppression strategy.

[0140] As in the above steps S501 to S505, the current resonance frequency information, the first regulation coefficient and the second regulation coefficient are integrated to calculate the resonance regulation value, and the calculation formula of the resonance regulation value is , wherein is the resonance regulation value, is the current resonance frequency information, is the first regulation coefficient, is expressed as a second control coefficient, which quantifies the severity of the energy storage system resonance and the demand for suppression. The control table is established based on actual energy storage system operation experience and data analysis, and contains multiple resonance control interval values and the corresponding resonance suppression strategies for each interval value. By matching the resonance control value to the target control interval, the best resonance suppression strategy is quickly queried and determined. According to the queried resonance suppression strategy, the operating parameters of the energy storage system converter (such as control frequency, power output, resonance compensation current, etc.) are adjusted to suppress resonance. At the same time, the control effect is monitored to ensure that the resonance of the energy storage system returns to a safe range. The method can quickly generate the best suppression scheme for different resonance scenarios, improve the response speed and control accuracy of the energy storage system, dynamically adapt to complex operating environments, enhance the robustness of the energy storage system, and provide differentiated strategies for different types and intensities of resonance. It is suitable for a variety of situations from slight fluctuations to severe abnormalities.

[0141] In a preferred embodiment, a strategy update period is constructed, and the operating data of the energy storage system in the strategy update period is obtained. The operating data of the energy storage system in the update period is returned as the energy storage operating data to the step of judging whether the energy storage operating data meets the first preset condition, comprising:

[0142] S601, obtaining a time node for controlling the resonance of the energy storage system converter according to the resonance suppression strategy, and marking it as the start node of the update period;

[0143] S602, obtaining an update standard duration;

[0144] S603, obtaining a resonance control safety value;

[0145] S604, obtaining an update duration according to the resonance control value, the update standard duration, and the resonance control safety value;

[0146] S605, obtaining an end node of the update period according to the start node of the update period and the update duration;

[0147] S606, obtaining the update period according to the start node of the update period and the end node of the update period;

[0148] S607, obtaining the operating data of the energy storage system in the strategy update period;

[0149] S608, returning the operating data of the energy storage system in the update period as the energy storage operating data to the step of judging whether the energy storage operating data meets the first preset condition.

[0150] As in the above steps S601 to S608, the time node of executing the resonance suppression strategy is taken as the starting point of the update cycle, and the preset update standard duration (recommended regular data collection cycle of the energy storage system) and the resonance control safety value are combined to dynamically calculate the duration (update duration) of the update cycle, and the calculation formula of the update duration is , wherein, is the update duration, is the update standard duration, is the resonance control value, is the resonance control safety value, so that the cycle length is adaptively adjusted according to the actual resonance state, the time period is accurately divided according to the starting and ending nodes of the update cycle, the energy storage system operation data in the corresponding time period is collected, including voltage, current, resonance frequency, load and interference information, etc., these data are packaged as operation data in the update cycle, the collected data is returned to the step of judging whether the energy storage operation data meets the first preset condition, the current energy storage system is re-evaluated whether it enters the resonance abnormal state, and a new control strategy is triggered or the existing control state is maintained, the update duration is dynamically calculated in combination with the resonance control value and the safety value, which can flexibly adjust the data collection cycle according to the change of the resonance state, avoid the influence of too short or too long update cycle on efficiency or response timeliness, avoid the collection and processing of redundant data, and at the same time ensure that the key data can cover the change range of the resonance state, and improve the calculation and storage efficiency of the energy storage system.

[0151] Please refer to the accompanying Figure 2 , the present application also provides an energy storage system converter resonance suppression system for the above-mentioned energy storage system converter resonance suppression method, comprising:

[0152] The resonance judgment module is used for acquiring energy storage operation data of the energy storage system, judging whether the energy storage operation data meets the first preset condition, if not, determining that the energy storage system is in resonance abnormality, and acquiring current resonance frequency information of the energy storage system converter;

[0153] The resonance change module is used for constructing an evaluation period, acquiring historical resonance data of the energy storage system converter in the evaluation period, and acquiring corresponding resonance change information according to the historical resonance data;

[0154] The first control module is used for acquiring a risk resonance node according to the resonance change information and the current resonance frequency information, and acquiring a first control coefficient according to the current resonance frequency information and the risk resonance node;

[0155] The second control module is used for acquiring grid operation state data in the evaluation period, and acquiring a second control coefficient according to the grid operation state data;

[0156] The resonance regulation module is configured to obtain a resonance regulation value according to the current resonance frequency information, the first regulation coefficient and the second regulation coefficient, obtain a corresponding resonance suppression strategy according to the resonance regulation value, and regulate the resonance of the energy storage system converter according to the resonance suppression strategy.

[0157] The resonance feedback module is configured to construct a strategy update period, obtain the operation data of the energy storage system in the strategy update period, and return the operation data of the energy storage system in the update period to the energy storage operation data to the step of judging whether the energy storage operation data meets the first preset condition as the energy storage operation data.

[0158] The resonance judgment module obtains the operation data (such as voltage, current, frequency, etc.) of the energy storage system, and compares it with the preset condition. If the data is detected to be abnormal, it is determined that resonance occurs, and the current resonance frequency information of the converter is extracted. The resonance change module constructs a historical evaluation period, extracts the change information (such as fluctuation amplitude and change rate) of the resonance frequency by analyzing the historical resonance data, obtains the resonance change information (stable or fluctuation state), and combines the current resonance frequency information and the historical resonance change data to identify the risk resonance node. The first regulation module calculates the first regulation coefficient by obtaining the frequency difference from the current frequency to the risk node, the change time and the external interference compensation value. The second regulation module collects the grid operation state data (such as load change and grid frequency), evaluates the influence of the grid environment on the resonance, and calculates the second regulation coefficient by comprehensively considering the external interference compensation value and the grid load value. The two regulation coefficients are combined to calculate the regulation value. The resonance regulation module generates a resonance regulation value according to the current resonance frequency information and the two regulation coefficients, matches the appropriate resonance suppression strategy (such as frequency filtering, load adjustment and resonance point shift) from the preset regulation table, and executes the regulation strategy to suppress the resonance, thereby stabilizing the operation of the energy storage system. The resonance feedback module constructs a strategy update period after each resonance regulation, collects and encapsulates the operation data in the update period in real time, feeds back to the resonance judgment module, and uses the new data to make a second judgment, forming a closed-loop feedback mechanism to continuously optimize the resonance suppression effect. The regulation coefficient is dynamically calculated by combining the historical resonance change and the grid load data, so as to ensure that the regulation strategy adapts to different operating environments and load conditions. Whether the resonance frequency suddenly changes, the external interference changes or the load fluctuates, the strategy can be efficiently coped with through real-time calculation and dynamic adjustment.

[0159] The energy storage system converter resonance suppression terminal comprises:

[0160] one or more processors;

[0161] a storage device having one or more programs stored thereon;

[0162] When the one or more programs are executed by the one or more processors, the one or more processors implement the energy storage system converter resonance suppression method.

[0163] The above description is only the preferred embodiment of the present application, it should be pointed out that for the ordinary skilled in the art, without departing from the principles of the present application, can also make several improvements and refinements, these improvements and refinements should also be considered as the protection scope of the present application. The structure, device and operation method not specifically described and explained in the present application, if no special description and limitation, are implemented according to the conventional means in the art.

Claims

1. A method for suppressing resonance of a converter in an energy storage system, characterized in that: include: Obtaining energy storage operation data of the energy storage system, determining whether the energy storage operation data meets a first preset condition, and if not, determining that the energy storage system resonance is abnormal, and obtaining current resonant frequency information of the energy storage system converter; Establishing an evaluation period, obtaining historical resonance data of the energy storage system converter during the evaluation period, and obtaining corresponding resonance change information based on the historical resonance data; Obtaining a risk resonance node according to the resonance change information and the current resonance frequency information, and obtaining a first control coefficient according to the current resonance frequency information and the risk resonance node; Obtaining grid operation status data during an evaluation period, and obtaining a second control coefficient based on the grid operation status data; Obtaining a resonance control value according to current resonant frequency information, a first control coefficient, and a second control coefficient, obtaining a corresponding resonance suppression strategy according to the resonance control value, and regulating the resonance of the energy storage system converter according to the resonance suppression strategy; A strategy update cycle is established, operation data of the energy storage system within the strategy update cycle is obtained, and the operation data of the energy storage system within the update cycle is returned as energy storage operation data to the step of determining whether the energy storage operation data meets the first preset condition.

2. The method for suppressing resonance of a converter in an energy storage system according to claim 1, wherein: The steps of obtaining energy storage operation data of the energy storage system, determining whether the energy storage operation data meets a first preset condition, and if not, determining that the energy storage system converter resonance is abnormal, and obtaining current resonant frequency information of the energy storage system converter include: Obtain energy storage operation data of the energy storage system; Acquire corresponding multiple energy storage voltage state values ​​and corresponding multiple energy storage current state values ​​according to the energy storage operation data; Acquire an energy storage state value according to a plurality of energy storage voltage state values ​​and a corresponding plurality of energy storage current state values; Get the energy storage status threshold; Determine whether the energy storage state value exceeds the energy storage state threshold; If the energy storage state value exceeds the energy storage state threshold, it is determined that the energy storage system resonance is abnormal, and the current resonant frequency information of the energy storage system converter is obtained.

3. The method for suppressing resonance of a converter in an energy storage system according to claim 1, wherein: The steps of establishing an evaluation period, obtaining historical resonance data of the energy storage system converter during the evaluation period, and obtaining corresponding resonance change information based on the historical resonance data include: Build assessment periods; Obtain historical resonance data of the energy storage system converter during the evaluation period; Acquire corresponding multiple historical resonance frequency values ​​according to historical resonance data; Obtaining a historical resonance change value according to a plurality of historical resonance frequency values; Get the resonance change evaluation threshold; Determine whether the historical resonance change value exceeds the resonance change assessment threshold; If the historical resonance change value does not exceed the resonance change evaluation threshold, the resonance change information is determined to be stable; If the historical resonance change value exceeds the resonance change evaluation threshold, the resonance change information is determined to be a fluctuation.

4. The method for suppressing resonance of a converter in an energy storage system according to claim 1, wherein: The steps of obtaining a risk resonance node according to the resonance change information and the current resonance frequency information, and obtaining a first control coefficient according to the current resonance frequency information and the risk resonance node include: Obtain corresponding historical resonance change values ​​according to the resonance change information; Acquire a risk node table, wherein the risk node table includes a plurality of historical resonance change interval values ​​and each historical resonance change interval value includes a plurality of risk resonance nodes corresponding to resonance frequency information; Obtain the corresponding target historical resonance change interval value according to the historical resonance change value; Obtaining target resonant frequency information from target historical resonant frequency variation interval values ​​according to current resonant frequency information; Obtain the corresponding risk resonance node from the risk node table according to the target historical resonance change interval value and the target resonance frequency information; Obtain the change time between the current resonance frequency information and the risk resonance node; Obtain the resonant frequency difference between the current resonant frequency information and the risk resonant node; Get external interference compensation value; A first control coefficient is obtained according to the resonant frequency difference, the external interference compensation value, and the change time.

5. The method for suppressing resonance of a converter in an energy storage system according to claim 4, wherein: The steps for obtaining the external interference compensation value include: Obtain external interference data of the energy storage system during the evaluation period; Acquire corresponding multiple electromagnetic interference intensity information according to external interference data; Obtaining health status values ​​of multiple energy storage elements corresponding to each piece of electromagnetic interference intensity information within an evaluation period; An external interference compensation value is obtained according to multiple energy storage element health status values ​​and multiple electromagnetic interference intensity information.

6. The method for suppressing resonance of a converter in an energy storage system according to claim 1, wherein: The steps of obtaining power grid operation status data during an evaluation period and obtaining a second control coefficient based on the power grid operation status data include: Obtaining grid operation status data during the evaluation period; Acquire corresponding multiple grid load values ​​according to grid operation status data; Get the standard load value of the power grid; A second control coefficient is obtained according to a standard load value of the power grid and a plurality of power grid load values.

7. The method for suppressing resonance of a converter in an energy storage system according to claim 1, wherein: The steps of obtaining a resonance control value according to current resonant frequency information, a first control coefficient, and a second control coefficient, obtaining a corresponding resonance suppression strategy according to the resonance control value, and regulating the resonance of the energy storage system converter according to the resonance suppression strategy include: Obtaining a resonance control value according to current resonance frequency information, a first control coefficient, and a second control coefficient; Obtaining a control table, wherein the control table includes a plurality of resonance control interval values ​​and a resonance suppression strategy corresponding to each resonance control interval value; Obtaining a target resonance control interval value according to the resonance control value; Obtain the corresponding resonance suppression strategy from the control table according to the target resonance control interval value; The resonance of the energy storage system converter is controlled according to the resonance suppression strategy.

8. The method for suppressing resonance of a converter in an energy storage system according to claim 1, wherein: Establishing a strategy update cycle, obtaining operating data of the energy storage system within the strategy update cycle, and returning the operating data of the energy storage system within the update cycle as energy storage operating data to the step of determining whether the energy storage operating data meets the first preset condition, including: Obtain the time node for regulating the resonance of the energy storage system converter according to the resonance suppression strategy, and mark it as the start node of the update cycle; Get the standard update time; Obtain the resonance control safety value; Obtain the update duration based on the resonance control value, the update standard duration, and the resonance control safety value; Get the end node of the update cycle according to the start node of the update cycle and the update duration; Obtaining an update period according to a start node of the update period and an end node of the update period; Obtaining the operating data of the energy storage system during the strategy update cycle; The operating data of the energy storage system within the update period is returned as the energy storage operating data to the step of determining whether the energy storage operating data meets the first preset condition.

9. A system for suppressing resonance of a converter in an energy storage system, applied to the method for suppressing resonance of a converter in an energy storage system according to any one of claims 1 to 8, characterized in that: include: a resonance judgment module, configured to obtain energy storage operation data of the energy storage system, determine whether the energy storage operation data meets a first preset condition, and if not, determine that the energy storage system resonance is abnormal, and obtain current resonant frequency information of the energy storage system converter; A resonance change module is used to construct an evaluation period, obtain historical resonance data of the energy storage system converter during the evaluation period, and obtain corresponding resonance change information based on the historical resonance data; A first control module is configured to obtain a risk resonance node according to the resonance change information and the current resonance frequency information, and obtain a first control coefficient according to the current resonance frequency information and the risk resonance node; A second control module is used to obtain power grid operation status data within an evaluation period and obtain a second control coefficient based on the power grid operation status data; A resonance control module is configured to obtain a resonance control value based on current resonance frequency information, a first control coefficient, and a second control coefficient, obtain a corresponding resonance suppression strategy based on the resonance control value, and control the resonance of the energy storage system converter based on the resonance suppression strategy; The resonance feedback module is used to establish a strategy update cycle, obtain the operating data of the energy storage system during the strategy update cycle, and return the operating data of the energy storage system during the update cycle as energy storage operating data to the resonance judgment module to execute the step of judging whether the energy storage operating data meets the first preset condition.

10. A resonance suppression terminal for an energy storage system converter, characterized in that: include: one or more processors; a storage device having one or more programs stored thereon; When one or more programs are executed by one or more processors, the one or more processors implement the energy storage system converter resonance suppression method according to any one of claims 1 to 8.

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