A grid-connected inverter monitoring management system based on vanadium battery energy storage

Abstract

The application discloses a grid-connected inverter monitoring management system based on vanadium battery energy storage, and relates to the field of power storage, and comprises the following steps: acquiring power grid basic information, new energy basic information and vanadium battery basic information, integrating management according to the obtained basic information and the interaction process of the corresponding branch of the grid-connected inverter, and generating a power integration management model; acquiring monitoring information in the interaction process of each branch according to the power integration management model; analyzing and processing historical monitoring data corresponding to the corresponding branch in the grid-connected inverter, and constructing a collaborative monitoring model of the corresponding interaction process under abnormal conditions of the corresponding branch; performing interaction monitoring analysis on the monitoring information obtained by the corresponding branch according to the constructed power integration management model, and acquiring corresponding interaction monitoring analysis results; performing multi-source collaborative disturbance traceability management on the interaction monitoring analysis results according to the collaborative monitoring model, and acquiring abnormal disturbance data; and the application improves the accuracy of the monitoring process.

Description

Technical Field

[0001] This invention relates to the field of power storage technology, and in particular to a monitoring and management system for grid-connected inverters based on vanadium battery energy storage. Background Technology

[0002] With the increasing global emphasis on and development of renewable energy, the proportion of new energy sources such as solar and wind power is constantly increasing. However, these energy sources are intermittent and fluctuating, making it difficult to directly and stably integrate them into the power grid. This makes energy storage systems a key solution for the efficient utilization of renewable energy and the stable operation of the power grid. In the process of energy management, vanadium battery energy storage stands out with its many advantages. As the core equipment connecting vanadium battery energy storage and the power grid, the grid-connected inverter directly affects the power conversion efficiency, power quality, and grid compatibility. Furthermore, with the expansion of the renewable energy market and the advancement of energy storage technology, the demand for monitoring and management of grid-connected inverters for vanadium battery energy storage is growing.

[0003] A search revealed Chinese invention patent CN104600752A, which discloses a new energy power station system based on complementary energy storage and smooth grid connection. The system includes: a fluctuating new energy power generation device A, a fluctuating new energy power generation device B, a battery management system, a DC dispatching device, a power generation assessment and monitoring device, a power generation tracking and control device, a string-type new energy grid-connected inverter, a bidirectional energy storage inverter, a new energy power generation grid-connected inverter, an energy management system, multiple battery banks, an energy storage subsystem, an energy storage grid-connected power controller, an environmental monitoring system, a transformer, a communication network, and a power grid. This system effectively solves the problems of smoothing fluctuations in new energy power grid connection and achieving black start and autonomous controlled power supply for the new energy power generation system. Simultaneously, it enables controlled charging and discharging of multiple battery banks, ensuring safe and healthy battery operation and extending system lifespan.

[0004] Compared with existing technologies, the invention patent with Chinese patent number CN104600752A can smooth out fluctuations through a DC regulation device, and at the same time perform secondary smoothing and compensation through an energy storage grid-connected power regulator, thereby ensuring the safe and healthy operation of the battery and extending the system life.

[0005] However, in actual use, the above system uses grid-connected inverters to ensure the stable operation of the corresponding new energy power station system, without considering the mutual influence between the operation of new energy equipment, grid operation, and grid-connected inverter malfunctions during battery energy storage, thus reducing the accuracy of grid-connected inverter monitoring and management. Summary of the Invention

[0006] The purpose of this invention is to address the shortcomings of insufficient accuracy in existing technologies by proposing a monitoring and management system for grid-connected inverters based on vanadium battery energy storage.

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] A monitoring and management system for grid-connected inverters based on vanadium battery energy storage includes:

[0009] The integrated management module is used to acquire basic information about the power grid, new energy sources, and vanadium batteries. Based on the acquired basic information, it performs branch connection and integrated management with the corresponding grid-connected inverters to generate a power integrated management model.

[0010] The monitoring and management module is used to perform power monitoring and management based on the branch connected to the corresponding grid-connected inverter in the power integrated management model, and to obtain grid monitoring information, new energy monitoring information, vanadium battery monitoring information and branch operation monitoring data.

[0011] The collaborative analysis module is used to perform collaborative analysis on the historical monitoring data corresponding to the corresponding branch in the power integrated management model and the historical branch operation monitoring data of the grid-connected inverter in the corresponding time period, so as to obtain the collaborative monitoring model corresponding to each branch.

[0012] The monitoring and verification module is used to verify and analyze the obtained grid monitoring information, new energy monitoring information, vanadium battery monitoring information and branch operation monitoring data according to the power integrated management model, obtain the corresponding interactive monitoring and analysis results of the grid-connected inverter, and perform mutual verification based on the interactive monitoring and analysis results of the corresponding branch.

[0013] The monitoring and analysis module is used to perform multi-dimensional collaborative disturbance tracing management based on the mutual verification results of each branch of the grid-connected inverter according to the collaborative monitoring model, and to obtain the abnormal disturbance data corresponding to the grid-connected inverter.

[0014] The above technical solution further includes: the integrated management module includes:

[0015] A power grid acquisition unit is used to acquire basic power grid information, including power grid topology data and historical power grid operation data.

[0016] The new energy acquisition unit is used to acquire basic information about new energy sources, including new energy topology data and historical new energy operation data.

[0017] A vanadium battery acquisition unit is used to acquire basic information about vanadium batteries, including battery topology data and historical battery operation data.

[0018] The integrated management unit is used to construct an integrated power management model based on the obtained data information.

[0019] Furthermore, the process by which the integrated management unit generates the power integrated management model includes:

[0020] The resource management subunit is used to analyze and process the interaction process of the grid-connected inverter under the corresponding operating conditions of the obtained grid basic information, new energy basic information and vanadium battery basic information, and to construct the corresponding grid interaction sub-model, new energy interaction sub-model and vanadium battery interaction model.

[0021] The integrated management subunit is used to set up interactive comparison data for the corresponding basic information of the power grid, new energy, and vanadium battery in the constructed power grid interaction submodel, new energy interaction submodel, and vanadium battery interaction submodel, according to the collection time in the corresponding interaction process. The obtained interactive comparison data of each type are set up as interactive comparison datasets. Based on the deep learning algorithm, the interactive comparison datasets are analyzed for correlation and coupling to obtain the correlation and coupling relationship between each submodel, and the power integrated management model is generated based on the correlation and coupling relationship.

[0022] Furthermore, the monitoring and management module includes:

[0023] A power grid monitoring unit is used to acquire power grid monitoring information, which includes power grid electrical operation data and power grid interactive monitoring data.

[0024] A new energy monitoring unit is used to acquire new energy monitoring information, which includes new energy electrical operation data and new energy interactive monitoring data.

[0025] A vanadium battery monitoring unit is used to acquire vanadium battery monitoring information, which includes battery physicochemical operation data and battery interaction monitoring data.

[0026] The branch monitoring unit is used to acquire branch operation monitoring data, which includes branch input interaction electrical monitoring data, branch output interaction electrical monitoring data, and branch interaction operation monitoring data corresponding to the interaction process between the corresponding grid-connected inverter and the corresponding branch.

[0027] Furthermore, the collaborative analysis module includes:

[0028] The branch historical monitoring unit is used to acquire historical monitoring data corresponding to each sub-model in the power integrated management model, and to perform anomaly collaborative analysis on each sub-model in the power integrated management model according to the corresponding historical monitoring data, to acquire monitoring collaborative data of each sub-model on the interaction process of the corresponding grid-connected inverter, and to generate the corresponding monitoring collaborative dataset.

[0029] The integrated collaborative analysis unit is used to set up a collaborative monitoring propagation path map based on the corresponding correlation and coupling relationship of the obtained monitoring collaborative dataset, and generate a collaborative monitoring model.

[0030] Furthermore, the integrated collaborative analysis unit includes:

[0031] The integrated graph construction subunit is used to obtain the corresponding correlation and coupling relationships between various sub-models in the power integrated management model and the corresponding monitoring and coordination datasets. Based on the corresponding correlation and coupling relationships, logical analysis is performed on the corresponding monitoring and coordination data in the monitoring and coordination datasets to obtain the guiding relationships between various monitoring and coordination data in each monitoring and coordination dataset. Based on the corresponding guiding relationships, a collaborative monitoring propagation path graph is generated.

[0032] An integrated collaborative monitoring subunit is used to acquire the collaborative monitoring propagation path map and corresponding historical monitoring data. Based on deep learning algorithms and the collaborative monitoring propagation path map, the corresponding historical monitoring data is analyzed and trained to construct a collaborative monitoring model with each branch as the starting point.

[0033] Furthermore, the monitoring and verification module includes:

[0034] The monitoring and analysis unit is used to acquire grid monitoring information, new energy monitoring information, vanadium battery monitoring information and branch operation monitoring data obtained by the monitoring and management module. It analyzes and processes the acquired monitoring data according to the corresponding sub-model in the power integrated management model, and judges the interaction monitoring and analysis results of the corresponding branch in the grid-connected inverter interaction process.

[0035] The monitoring and verification unit is used to obtain the interactive monitoring and analysis results corresponding to each branch, and to verify and analyze the interactive monitoring and analysis results according to the correlation and coupling relationship between each sub-model and the grid-connected inverter in the power integrated management model, and to obtain the verification and analysis results corresponding to the interactive monitoring and analysis results of each branch of the grid-connected inverter.

[0036] Furthermore, the monitoring and analysis module includes:

[0037] The source tracing analysis unit is used to obtain the interaction monitoring analysis results corresponding to each branch after the verification analysis is completed. The interaction monitoring analysis results are analyzed and processed according to the collaborative monitoring model of the branch to which they belong, and the corresponding collaborative monitoring propagation path map within the corresponding branch is obtained. Based on the corresponding collaborative monitoring data, the collaborative disturbance source tracing data corresponding to the corresponding branch is obtained.

[0038] The monitoring and management unit is used to acquire the source data of the corresponding branch disturbance, perform verification analysis and progressive analysis on the acquired source data of the collaborative disturbance according to the collaborative monitoring model, integrate the corresponding verification analysis results and progressive analysis results, acquire the abnormal disturbance data corresponding to the grid-connected inverter, and manage the corresponding abnormal disturbance data.

[0039] The present invention has the following beneficial effects:

[0040] 0. In this invention, by constructing a power integrated management model, interactive comparative analysis is performed on the interaction process between the grid-connected inverter and the power grid, new energy sources, and vanadium batteries. Corresponding sub-models are constructed, and analysis and processing are carried out based on the correlation and coupling relationship between each sub-model. This provides a preliminary analysis for subsequent monitoring data corresponding to each branch, and determines whether there are any abnormalities in the interaction process of the corresponding grid-connected inverter. This avoids monitoring and analyzing the interaction process of the corresponding grid-connected inverter from a single side, thereby improving the accuracy of the interaction monitoring process of the grid-connected inverter.

[0041] 0. In this invention, a corresponding monitoring and collaborative dataset is constructed by analyzing the power conversion process of each branch with respect to the corresponding grid-connected inverter. The logical relationships between the various monitoring and collaborative datasets are then used to construct a corresponding collaborative monitoring propagation path map. Based on the constructed collaborative monitoring propagation path map, source analysis and collaborative management are performed on the monitoring of abnormal situations that occur during the interaction process of the corresponding branch grid-connected inverter. In addition, the collaborative monitoring propagation path map can also be used to predict possible abnormal situations in advance, thereby improving the accuracy of the grid-connected inverter monitoring process while also improving the efficiency and security of the grid-connected inverter monitoring and management process. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the grid-connected inverter monitoring and management system based on vanadium battery energy storage proposed in this invention.

[0043] Figure 2 This is a schematic diagram of the integrated management module proposed in this invention;

[0044] Figure 3 This is a schematic diagram of the monitoring and management module proposed in this invention;

[0045] Figure 4 This is a schematic diagram of the collaborative analysis module proposed in this invention;

[0046] Figure 5 This is a schematic diagram of the monitoring and verification module proposed in this invention;

[0047] Figure 6 This is a schematic diagram of the monitoring and analysis module proposed in this invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] Example 1

[0050] like Figure 1 As shown, the present invention proposes a monitoring and management system for grid-connected inverters based on vanadium battery energy storage, comprising an integrated management module, a monitoring management module, a collaborative analysis module, a monitoring verification module, and a monitoring analysis module, wherein:

[0051] The integrated management module is used to acquire basic grid information, new energy basic information, and vanadium battery basic information, and to perform branch connection integrated management with the corresponding grid-connected inverters based on the acquired basic information to generate a power integrated management model.

[0052] The monitoring and management module is used to perform power monitoring and management based on the branch connected to the corresponding grid-connected inverter in the power integrated management model, and to obtain grid monitoring information, new energy monitoring information, vanadium battery monitoring information and branch operation monitoring data.

[0053] The collaborative analysis module is used to perform collaborative analysis on the historical monitoring data corresponding to the corresponding branch in the power integrated management model and the historical branch operation monitoring data of the grid-connected inverter in the corresponding time period, so as to obtain the collaborative monitoring model corresponding to each branch.

[0054] The monitoring and verification module is used to verify and analyze the obtained grid monitoring information, new energy monitoring information, vanadium battery monitoring information and branch operation monitoring data according to the power integrated management model, obtain the interactive monitoring and analysis results corresponding to the grid-connected inverter, and perform mutual verification based on the interactive monitoring and analysis results of the corresponding branch.

[0055] The monitoring and analysis module is used to perform multi-dimensional collaborative disturbance tracing management based on the mutual verification results of each branch of the grid-connected inverter according to the collaborative monitoring model, and to obtain the abnormal disturbance data corresponding to the grid-connected inverter.

[0056] like Figure 2 As shown, in the specific implementation process, the integrated management module includes:

[0057] The power grid acquisition unit is used to acquire basic power grid information, which includes power grid topology data and historical power grid operation data. The power grid topology data includes the corresponding transmission network structure, distribution network structure and load data information, and the historical power grid operation data includes the electrical parameter information of the corresponding power grid operation process in the corresponding power area.

[0058] The new energy acquisition unit is used to acquire basic information about new energy sources, including new energy topology data and historical new energy operation data. The new energy topology data includes new energy power generation data, power conversion data, battery energy storage data, and monitoring and control information.

[0059] The vanadium battery acquisition unit is used to acquire basic information about the vanadium battery, including battery topology data and historical battery operation data. The battery topology data includes individual battery data, battery pack data, and power change data.

[0060] The integrated management unit is used to construct a power integrated management model based on the obtained data information, including:

[0061] The resource management subunit is used to analyze and process the interaction processes of the grid-connected inverters under their respective operating states based on the obtained grid basic information, new energy basic information, and vanadium battery basic information, and to construct corresponding grid interaction sub-models, new energy interaction sub-models, and vanadium battery interaction models, wherein:

[0062] The process involves acquiring basic grid information, extracting features from the basic grid information, obtaining corresponding grid feature data, including operating parameters such as grid voltage, grid frequency, grid phase, and grid power, using the obtained grid feature data as the input set, establishing a grid impedance model and a load response model, obtaining interaction command information and interaction monitoring information of the grid information in the interaction process of the corresponding grid-connected inverter based on the constructed model, and constructing a grid interaction sub-model in the interaction process between the grid and the grid-connected inverter.

[0063] Acquire basic information on new energy sources, extract features from the basic information on new energy sources, and obtain corresponding new energy characteristic data, including new energy environmental data, new energy voltage, new energy current and other operating parameters. Use the obtained new energy characteristic data as the input set to establish a new energy power model. Based on the constructed model, obtain the interaction command information and interaction monitoring information of new energy sources in the interaction process with the corresponding grid-connected inverter. Construct a new energy interaction sub-model in the interaction process between new energy sources and grid-connected inverters.

[0064] Obtain basic information about vanadium batteries, extract features from the basic information about vanadium batteries, and obtain corresponding vanadium battery feature data, including vanadium battery state of charge, vanadium battery health status, charging and discharging current and voltage and other operating parameters. Use the obtained vanadium battery feature data as the input set to establish a charging and discharging efficiency model and a health status model. Based on the constructed models, obtain the interaction command information and interaction monitoring information of vanadium battery information in relation to the corresponding grid-connected inverter in the interaction process, and construct a vanadium battery interaction sub-model in the interaction process between vanadium battery and grid-connected inverter.

[0065] The integrated management subunit is used to set interactive comparison data for the corresponding basic information of the power grid, new energy, and vanadium battery in the constructed power grid interaction sub-model, new energy interaction sub-model, and vanadium battery interaction sub-model, respectively, according to the collection time in the corresponding interaction process. The interactive comparison data is set with corresponding timestamps and data types corresponding to the corresponding data sources according to the corresponding collection time. The corresponding interactive comparison data is combined and processed according to the corresponding interaction process in the grid-connected inverter. Specifically, the corresponding interaction command information in the grid-connected inverter is compared within the timestamp corresponding to the real-time execution location. The power dispatching process between the power grid, new energy, and vanadium battery is compared based on multi-source power balance to generate an interactive comparison dataset. The interactive comparison dataset is analyzed for correlation and coupling based on deep learning algorithms to obtain the correlation and coupling relationship between each sub-model, and a power integrated management model is generated based on the correlation and coupling relationship.

[0066] It should be further explained that, in the specific implementation process, during the correlation and coupling analysis of the power integrated management model based on various interactive comparison datasets, the correlation analysis is performed sequentially on the corresponding power grid, new energy sources, and vanadium batteries during the interaction process of the corresponding grid-connected inverters, based on the processes of energy flow, electrical parameters, command response, and monitoring feedback, to obtain the influence between the corresponding data, wherein:

[0067] In the energy flow coupling analysis, continuous time series data are extracted from the interaction comparison datasets corresponding to the pairwise combinations of the power grid, new energy sources, and vanadium batteries during the interaction process of the corresponding grid-connected inverters. , The system determines whether the obtained power data meets the energy balance requirement. If it does, the system plots the energy flow time sequence diagram based on the corresponding power data in the interactive comparison dataset according to the corresponding interactive instruction information. The system then performs correlation analysis based on the obtained energy flow time sequence diagram to obtain the correlation impact of the corresponding interactive instruction information in the grid-connected inverter on energy distribution.

[0068] In the electrical parameter coupling analysis, the interaction processes of the power grid, new energy sources, and vanadium batteries with the corresponding grid-connected inverters are combined in pairs to obtain corresponding interaction comparison datasets. These datasets are then analyzed to obtain the operational constraints of the corresponding interaction command information within the grid-connected inverter on the power grid, new energy sources, and vanadium batteries. For example, if the grid frequency f deviates from its rated value, the power needs to be adjusted through the charging and discharging of the vanadium battery to meet the "frequency-power response" constraint. The power output fluctuation Δ of the new energy source... Δ requires power compensation via vanadium batteries Suppression, meeting the "fluctuation suppression rate" requirement, and the vanadium battery and charging / discharging power must be maintained within the corresponding safe range, etc.

[0069] During the command response coupling analysis, the interaction comparison datasets corresponding to the grid, new energy and vanadium battery in the corresponding grid-connected inverter interaction process are combined in pairs to perform command response delay analysis and obtain the response delay interval corresponding to the corresponding interaction command information.

[0070] During the monitoring and feedback coupling analysis, the interactive control dataset is validated and analyzed based on the analysis results of the three dimensions of energy flow coupling, electrical parameter coupling, and command response coupling. The corresponding interactive command information is used to obtain the response delay relationship and logical triggering relationship within the power grid, new energy, and vanadium battery.

[0071] Based on the corresponding response delay relationships and logical triggering relationships, the power grid interaction sub-model, the new energy interaction sub-model, and the vanadium battery interaction sub-model are integrated and processed to generate a power integrated management model;

[0072] Based on the results corresponding to the interaction command information between the corresponding sub-models, the impact of other sub-models after interaction with the grid-connected inverter is predicted and analyzed, thereby improving the accuracy of the grid-connected inverter interaction monitoring process and avoiding monitoring errors that may occur when monitoring the grid-connected inverter from a single side.

[0073] like Figure 3 As shown, in the specific implementation process, the monitoring and management module includes:

[0074] A power grid monitoring unit is used to acquire power grid monitoring information, which includes power grid electrical operation data and power grid interactive monitoring data.

[0075] A new energy monitoring unit is used to acquire new energy monitoring information, which includes new energy electrical operation data and new energy interactive monitoring data.

[0076] A vanadium battery monitoring unit is used to acquire vanadium battery monitoring information, which includes battery physicochemical operation data and battery interaction monitoring data.

[0077] The branch monitoring unit is used to acquire branch operation monitoring data, which includes branch input interaction electrical monitoring data, branch output interaction electrical monitoring data, and branch interaction operation monitoring data corresponding to the interaction process between the corresponding grid-connected inverter and the corresponding branch.

[0078] like Figure 4 As shown, in the specific implementation process, the collaborative analysis module includes

[0079] The branch historical monitoring unit is used to acquire historical monitoring data corresponding to each sub-model within the power integrated management model. It then performs anomaly collaborative analysis on each sub-model based on its corresponding historical monitoring data to obtain monitoring collaborative data for the interaction process of the corresponding grid-connected inverter, generating a corresponding monitoring collaborative dataset. Among these data:

[0080] The vanadium battery interaction sub-model corresponding to the vanadium battery terminal obtains the corresponding abnormal collaborative data based on the relevant historical monitoring data, including abnormal situations such as battery quality data and abnormal in-pile pressure drop.

[0081] The power grid interaction sub-model corresponding to the power grid end obtains the corresponding abnormal collaborative data based on the relevant historical monitoring data, including abnormal situations such as voltage swell, voltage drop, frequency deviation, and three-phase imbalance.

[0082] The new energy interaction sub-model corresponding to the new energy end obtains the corresponding abnormal coordination data based on the relevant historical monitoring data, including abnormal situations such as power surge;

[0083] In addition, the abnormal coordination analysis process can include normal coordination data and abnormal coordination data. Based on the corresponding coordination situation, a monitoring coordination dataset is generated, which includes all situations that can be involved in the interaction between the grid end, vanadium battery end and new energy end in the corresponding grid-connected inverter.

[0084] An integrated collaborative analysis unit is used to set up a collaborative monitoring propagation path map based on the corresponding correlation and coupling relationships of the obtained collaborative monitoring dataset, and to generate a collaborative monitoring model, including:

[0085] The integrated graph construction subunit is used to obtain the corresponding correlation and coupling relationships between various sub-models within the power integrated management model and the corresponding monitoring and coordination datasets. Based on the corresponding correlation and coupling relationships, logical analysis is performed on the corresponding monitoring and coordination data within each monitoring and coordination dataset to obtain the guiding relationships between the various monitoring and coordination data within each monitoring and coordination dataset. Based on the corresponding guiding relationships, a collaborative monitoring propagation path graph is generated. Its specific implementation process includes:

[0086] Each monitoring collaborative data point within each monitoring collaborative dataset is labeled, and each type of monitoring collaborative data is labeled as follows: , … Where i, j, or n are labels for the corresponding types of monitoring collaborative data, the corresponding monitoring collaborative data are analyzed and processed based on the Granger causality test algorithm, and the null hypothesis between the corresponding types of monitoring collaborative data is constructed. Establish a regression model B(t), where:

[0087] Where p and q are the lag orders, and ε(t) is the residual, the statistic F corresponding to the null hypothesis is obtained from the corresponding monitoring collaborative dataset, and the specific formula includes:

[0088] ,in, This is the sum of squared residuals when the null hypothesis is true. The sum of squared residuals when the alternative hypothesis is true, where n is the sample size. If the monitoring data corresponding to A is positive, then the monitoring data corresponding to B is negative; otherwise, there is no directional relationship.

[0089] Based on the obtained guidance relationships, the corresponding monitoring and coordination data are integrated, and different types of monitoring and coordination data are set into horizontal arrangement sequences. Each horizontal arrangement sequence includes different monitoring and coordination data corresponding to the corresponding type. For example, in the horizontal arrangement sequence corresponding to the vanadium battery end, each sequence subunit corresponds to the corresponding battery physicochemical operation data and battery interaction monitoring data. The monitoring and coordination data in each sequence subunit of the horizontal arrangement sequences corresponding to the grid end, vanadium battery end, and new energy end are guided and connected according to the corresponding guidance relationships. Based on the guidance and connection processing results, the connection status of each sequence subunit between each horizontal arrangement sequence is obtained and integrated. The corresponding sequence subunits are set as corresponding graph nodes, and the graph nodes are connected to construct a collaborative monitoring propagation path graph.

[0090] An integrated collaborative monitoring subunit is used to acquire the collaborative monitoring propagation path map and corresponding historical monitoring data. Based on deep learning algorithms and the collaborative monitoring propagation path map, the corresponding historical monitoring data is analyzed and trained to construct a collaborative monitoring model corresponding to each branch as the starting point. In this process, a corresponding historical monitoring dataset is set up based on the historical monitoring data corresponding to the collaborative monitoring data involved at each starting point. The historical monitoring dataset is divided into a training set and a validation set. Based on deep learning algorithms, the corresponding training set is analyzed and processed to construct a corresponding collaborative monitoring model. The constructed collaborative monitoring model is validated based on the validation set until the corresponding loss function tends to stabilize, and the corresponding collaborative monitoring model is output. The collaborative monitoring model is used to collaboratively process the collaborative monitoring data with guiding relationships starting from the corresponding branch during the operation of the grid-connected inverter.

[0091] like Figure 5 As shown, in the specific implementation process, the monitoring and verification module includes:

[0092] The monitoring and analysis unit is used to acquire grid monitoring information, new energy monitoring information, vanadium battery monitoring information and branch operation monitoring data obtained by the monitoring and management module. It analyzes and processes the acquired monitoring data according to the corresponding sub-model in the power integrated management model, and judges the interaction monitoring and analysis results of the corresponding branch in the grid-connected inverter interaction process.

[0093] The monitoring and verification unit is used to obtain the interactive monitoring and analysis results corresponding to each branch, and to verify and analyze the interactive monitoring and analysis results according to the correlation and coupling relationship of each sub-model in the power integrated management model and the grid-connected inverter, and to obtain the verification and analysis results corresponding to the interactive monitoring and analysis results of each branch of the grid-connected inverter.

[0094] It should be further explained that, in the specific implementation process, the obtained grid monitoring information, new energy monitoring information, vanadium battery monitoring information, and branch operation monitoring data are used to obtain the corresponding interactive monitoring and analysis results based on the corresponding sub-models within the power integrated management model. The corresponding interactive monitoring and analysis results are the difference information between the predicted input and output results and the actual input and output results during the interaction process of the corresponding grid-connected inverter on the grid side, new energy side, and vanadium battery side, respectively. The corresponding interactive monitoring and analysis results are used to determine whether there are any anomalies in the corresponding interactive monitoring and analysis results, i.e., the corresponding verification analysis results, through the corresponding correlation and coupling relationship.

[0095] like Figure 6 As shown, in the specific implementation process, the monitoring and analysis module includes:

[0096] The source tracing analysis unit is used to obtain the interaction monitoring analysis results corresponding to each branch after the verification analysis is completed. It analyzes and processes each interaction monitoring analysis result according to the collaborative monitoring model of its respective branch, obtaining the corresponding collaborative monitoring propagation path map within the corresponding branch. Based on the corresponding collaborative monitoring data, it obtains the collaborative disturbance source tracing data corresponding to the corresponding branch. During this process, the corresponding interaction monitoring analysis results are directly assumed to have anomalies, thus enabling subsequent analysis. The unit identifies the branches with anomalies and obtains the corresponding collaborative monitoring data during the interaction with the grid-connected inverter based on the collaborative monitoring model corresponding to the branch. It then determines whether the corresponding collaborative monitoring data has anomalies within the corresponding collaborative monitoring propagation path map. If anomalies exist within the corresponding branch, it may be due to anomalies in the grid-connected inverter monitoring caused by anomalies in the corresponding branch; if no anomalies exist within the corresponding branch, it may be due to anomalies in the corresponding equipment within the grid-connected inverter. This reduces the occurrence of inaccurate monitoring due to anomalies at other ends during the grid-connected inverter monitoring process.

[0097] The monitoring and management unit is used to acquire the source data of the corresponding branch of the coordinated disturbance, perform verification analysis and progressive analysis on the acquired source data of the coordinated disturbance according to the coordinated monitoring model, integrate the corresponding verification analysis results and progressive analysis results, acquire the abnormal disturbance data corresponding to the grid-connected inverter, and manage the corresponding abnormal disturbance data.

[0098] It should be further explained that, in the specific implementation process, when the monitoring and management unit acquires the collaborative disturbance tracing data and performs verification and progressive analysis based on the collaborative monitoring model, it determines that when the corresponding branch has anomalies in the corresponding monitoring collaborative data, it verifies the corresponding abnormal situation of the branch based on the impact caused by other branches, thereby improving the accuracy of the abnormal disturbance data analysis process. Through progressive analysis, it can obtain possible abnormal situations in advance, thereby improving the efficiency of interactive monitoring and management. In the process of acquiring abnormal disturbance data through the monitoring and analysis module, the impact on the grid-connected inverter monitoring and management process is preferentially eliminated from the external interference side, thereby improving the accuracy and management efficiency of the grid-connected inverter monitoring and management process.

[0099] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A monitoring and management system for grid-connected inverters based on vanadium battery energy storage, characterized in that, include: The integrated management module is used to acquire basic information about the power grid, new energy sources, and vanadium batteries. Based on the acquired basic information, it performs branch connection and integrated management with the corresponding grid-connected inverters to generate a power integrated management model. The monitoring and management module is used to perform power monitoring and management based on the branch connected to the corresponding grid-connected inverter in the power integrated management model, and to obtain grid monitoring information, new energy monitoring information, vanadium battery monitoring information and branch operation monitoring data. The collaborative analysis module is used to perform collaborative analysis on the historical monitoring data corresponding to each branch in the power integrated management model and the historical branch operation monitoring data of the grid-connected inverter in the corresponding time period, so as to obtain the collaborative monitoring model corresponding to each branch. The collaborative analysis module includes: The branch historical monitoring unit is used to acquire historical monitoring data corresponding to each sub-model in the power integrated management model, and to perform anomaly collaborative analysis on each sub-model in the power integrated management model according to the corresponding historical monitoring data, to acquire monitoring collaborative data of each sub-model on the interaction process of the corresponding grid-connected inverter, and to generate the corresponding monitoring collaborative dataset. An integrated collaborative analysis unit is used to set up a collaborative monitoring propagation path map based on the corresponding correlation and coupling relationships of the obtained collaborative monitoring dataset, and to generate a collaborative monitoring model; The integrated collaborative analysis unit includes: The integrated graph construction subunit is used to obtain the corresponding correlation and coupling relationships between various sub-models in the power integrated management model and the corresponding monitoring and coordination datasets. Based on the corresponding correlation and coupling relationships, logical analysis is performed on the corresponding monitoring and coordination data in the monitoring and coordination datasets to obtain the guiding relationships between various monitoring and coordination data in each monitoring and coordination dataset. Based on the corresponding guiding relationships, a collaborative monitoring propagation path graph is generated. An integrated collaborative monitoring subunit is used to acquire the collaborative monitoring propagation path map and corresponding historical monitoring data. Based on deep learning algorithms and the collaborative monitoring propagation path map, the corresponding historical monitoring data is analyzed and trained to construct a collaborative monitoring model with each branch as the starting point. The monitoring and verification module is used to verify and analyze the obtained grid monitoring information, new energy monitoring information, vanadium battery monitoring information and branch operation monitoring data according to the power integrated management model, obtain the corresponding interactive monitoring and analysis results of the grid-connected inverter, and perform mutual verification based on the interactive monitoring and analysis results of the corresponding branch. The monitoring and analysis module is used to perform multi-dimensional collaborative disturbance tracing management based on the mutual verification results of each branch of the grid-connected inverter according to the collaborative monitoring model, and to obtain the abnormal disturbance data corresponding to the grid-connected inverter.

2. The grid-connected inverter monitoring and management system based on vanadium battery energy storage according to claim 1, characterized in that, The integrated management module includes: A power grid acquisition unit is used to acquire basic power grid information, including power grid topology data and historical power grid operation data. The new energy acquisition unit is used to acquire basic information about new energy sources, including new energy topology data and historical new energy operation data. A vanadium battery acquisition unit is used to acquire basic information about vanadium batteries, including battery topology data and historical battery operation data. The integrated management unit is used to construct an integrated power management model based on the obtained data information.

3. The grid-connected inverter monitoring and management system based on vanadium battery energy storage according to claim 2, characterized in that, The process by which the integrated management unit generates the power integrated management model includes: The resource management subunit is used to analyze and process the interaction process of the grid-connected inverter under the corresponding operating conditions of the obtained grid basic information, new energy basic information and vanadium battery basic information, and to construct the corresponding grid interaction sub-model, new energy interaction sub-model and vanadium battery interaction model. The integrated management subunit is used to set up interactive comparison data for the corresponding basic information of the power grid, new energy, and vanadium battery in the constructed power grid interaction submodel, new energy interaction submodel, and vanadium battery interaction submodel, according to the collection time in the corresponding interaction process. The obtained interactive comparison data of each type are set up as interactive comparison datasets. Based on the deep learning algorithm, the interactive comparison datasets are analyzed for correlation and coupling to obtain the correlation and coupling relationship between each submodel, and the power integrated management model is generated based on the correlation and coupling relationship.

4. The grid-connected inverter monitoring and management system based on vanadium battery energy storage according to claim 3, characterized in that, The monitoring and management module includes: A power grid monitoring unit is used to acquire power grid monitoring information, which includes power grid electrical operation data and power grid interactive monitoring data. A new energy monitoring unit is used to acquire new energy monitoring information, which includes new energy electrical operation data and new energy interactive monitoring data. A vanadium battery monitoring unit is used to acquire vanadium battery monitoring information, which includes battery physicochemical operation data and battery interaction monitoring data. The branch monitoring unit is used to acquire branch operation monitoring data, which includes branch input interaction electrical monitoring data, branch output interaction electrical monitoring data, and branch interaction operation monitoring data corresponding to the interaction process between the corresponding grid-connected inverter and the corresponding branch.

5. The grid-connected inverter monitoring and management system based on vanadium battery energy storage according to claim 4, characterized in that, The monitoring and verification module includes: The monitoring and analysis unit is used to acquire grid monitoring information, new energy monitoring information, vanadium battery monitoring information and branch operation monitoring data obtained by the monitoring and management module. It analyzes and processes the acquired monitoring data according to the corresponding sub-model in the power integrated management model, and judges the interaction monitoring and analysis results of the corresponding branch in the grid-connected inverter interaction process. The monitoring and verification unit is used to obtain the interactive monitoring and analysis results corresponding to each branch, and to verify and analyze the interactive monitoring and analysis results according to the correlation and coupling relationship between each sub-model and the grid-connected inverter in the power integrated management model, and to obtain the verification and analysis results corresponding to the interactive monitoring and analysis results of each branch of the grid-connected inverter.

6. The grid-connected inverter monitoring and management system based on vanadium battery energy storage according to claim 5, characterized in that, The monitoring and analysis module includes: The source tracing analysis unit is used to obtain the interaction monitoring analysis results corresponding to each branch after the verification analysis is completed. The interaction monitoring analysis results are analyzed and processed according to the collaborative monitoring model of the branch to which they belong, and the corresponding collaborative monitoring propagation path map within the corresponding branch is obtained. Based on the corresponding collaborative monitoring data, the collaborative disturbance source tracing data corresponding to the corresponding branch is obtained. The monitoring and management unit is used to acquire the source data of the corresponding branch disturbance, perform verification analysis and progressive analysis on the acquired source data of the collaborative disturbance according to the collaborative monitoring model, integrate the corresponding verification analysis results and progressive analysis results, acquire the abnormal disturbance data corresponding to the grid-connected inverter, and manage the corresponding abnormal disturbance data.

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