An energy monitoring method and system for a grid-type energy storage system

Abstract

This invention belongs to the technical field of grid-based energy storage systems, specifically relating to an energy monitoring method and system for grid-based energy storage systems. By acquiring energy loss data and generating a second control level based on this data, the deficiencies of existing control levels can be overcome, making control more precise and timely. This improves the stability and energy utilization efficiency of the grid-based energy storage system, reducing the use of stored energy and increasing the output of generated energy. It enables real-time monitoring of the energy usage of the grid-based energy storage system, timely detection of anomalies, and automatic anomaly identification and control level generation, reducing the burden on maintenance personnel. By monitoring energy usage trends, it can promptly detect energy usage anomalies and provide corresponding warning information, facilitating timely handling of anomalies. It can also generate reasonable control strategies to optimize the operating efficiency of the grid-based energy storage system.

Description

Technical Field

[0001] This invention belongs to the technical field of grid-type energy storage systems, specifically relating to an energy monitoring method and system for grid-type energy storage systems. Background Technology

[0002] With the increasing demand for energy and the widespread application of renewable energy, energy storage and management have become an important research area. Among these, grid-based energy storage systems, as a highly efficient energy storage method, can release energy during peak grid load periods to alleviate grid pressure and provide stable energy output when energy supply is insufficient. However, how to effectively monitor the energy of grid-based energy storage systems to ensure their efficient and safe operation has become a pressing issue that needs to be addressed.

[0003] While some energy monitoring methods exist in the current technology, they mainly rely on manual inspections and simple data recording. This approach is not only inefficient, but also makes it difficult to accurately balance and regulate the operating status of grid-type energy storage systems, resulting in energy waste and increasing the operating costs of grid-type energy storage systems. Summary of the Invention

[0004] The purpose of this invention is to provide an energy monitoring method for a grid-type energy storage system, which can effectively manage and optimize the operation of the grid-type energy storage system, improve energy utilization efficiency, enhance stability and reliability, and also contribute to energy conservation, emission reduction and sustainable development.

[0005] The specific technical solution adopted by this invention is as follows:

[0006] An energy monitoring method for a grid-type energy storage system includes:

[0007] Acquire energy usage data of a grid-type energy storage system, wherein the energy usage data includes energy storage energy usage data and power generation energy usage data;

[0008] Calculate the energy usage trend of grid-type energy storage systems based on energy usage data;

[0009] Determine whether the energy usage trend meets preset conditions;

[0010] If the energy usage trend does not meet the preset conditions, it is determined that the grid-type energy storage system has an energy usage anomaly;

[0011] The system acquires warning information indicating abnormal energy use in the grid-type energy storage system, acquires the warning period corresponding to the warning information, and acquires the first control level of the grid-type energy storage system based on the warning period.

[0012] Acquire energy loss data of a grid-type energy storage system, wherein the energy loss data includes energy storage energy loss data and power generation energy loss data;

[0013] Based on energy loss data, energy usage trends, and the first control level, a second control level is generated for the grid-type energy storage system, and energy balance control is performed on the grid-type energy storage system according to the second control level.

[0014] In a preferred embodiment, the step of acquiring energy usage data of the grid-type energy storage system includes:

[0015] Obtain the data acquisition frequency of the grid-type energy storage system;

[0016] The collection duration is determined based on the collection frequency, and multiple collection nodes are established based on the collection duration;

[0017] Collect energy storage usage data from multiple data collection nodes. This data includes historical energy storage usage data and current energy storage usage data.

[0018] Data on power generation and energy usage is collected from multiple data collection nodes. This data includes historical power generation and energy usage data as well as current power generation and energy usage data.

[0019] Energy storage energy usage data and power generation energy usage data are combined into energy usage data.

[0020] In a preferred embodiment, the step of calculating the energy usage trend of the grid-type energy storage system based on energy usage data includes:

[0021] Based on the energy storage usage data, obtain the corresponding multiple energy storage utilization rate parameters, standard energy storage utilization rate parameters, total number of energy storage utilization rate parameters, and energy storage utilization rate parameter numbers;

[0022] The energy storage usage fluctuation parameter is calculated based on the energy storage utilization rate parameter, the standard energy storage utilization rate parameter, the total number of energy storage utilization rate parameters, and the parameter number. The calculation formula is as follows:

[0023]

[0024] Where A represents the energy storage energy usage fluctuation parameter, n represents the total number of energy storage energy utilization rate parameters, i represents the number of the energy storage energy utilization rate parameter, and S... i Let be the i-th energy storage utilization rate parameter, and b represent the standard utilization rate of energy storage.

[0025] parameter;

[0026] Based on the power generation energy usage data, obtain the corresponding multiple power generation energy usage rate parameters, standard power generation energy usage rate parameters, total number of power generation energy usage rate parameters, and parameter numbers;

[0027] The power generation energy utilization fluctuation parameter is calculated based on the power generation energy utilization rate parameter, the standard power generation energy utilization rate parameter, the total number of power generation energy utilization rate parameters, and the parameter number. The calculation formula is as follows:

[0028]

[0029] Where B represents the power generation energy consumption fluctuation parameter, m represents the total number of power generation energy consumption rate parameters, k represents the number of the power generation energy consumption rate parameter, and D... k Let be the kth generation energy utilization rate parameter, and d represent the standard generation energy utilization rate parameter;

[0030] The energy trend value is calculated based on the fluctuation parameters of energy storage and power generation, where the calculation formula is as follows:

[0031] Z = AB;

[0032] Where Z represents the energy trend value, A represents the energy storage energy usage fluctuation parameter, and B represents the power generation energy usage fluctuation parameter;

[0033] Determine whether the energy trend value is within the standard energy trend assessment range;

[0034] If the energy trend value is within the standard energy trend assessment range, the energy use trend of the grid-type energy storage system is determined to be stable.

[0035] If the energy trend value is not within the standard energy trend assessment range and is greater than the upper limit of the standard energy trend assessment range, then the energy use trend of the grid-type energy storage system is determined to be increasing.

[0036] If the energy trend value is not within the standard energy trend assessment range and is less than the lower limit of the standard energy trend assessment range, then the energy use trend of the grid-type energy storage system is determined to be decreasing.

[0037] In a preferred embodiment, the steps of obtaining warning information indicating abnormal energy use in a grid-type energy storage system and obtaining the corresponding warning period include:

[0038] Obtain the energy usage trends of multiple historical data collection nodes corresponding to energy usage anomalies in a grid-type energy storage system. The energy usage trends include increasing and decreasing energy usage trends.

[0039] Acquire multiple predicted energy usage data corresponding to multiple preset acquisition nodes of a grid-type energy storage system;

[0040] Obtain the standard energy use assessment range, and determine whether the predicted energy use data corresponding to each preset collection node is within the standard energy use assessment range according to the acquisition order;

[0041] If the predicted energy use data is not within the standard energy use assessment range and the energy use trend is increasing, the preset collection node that first appears to be greater than the upper limit of the standard energy use assessment range will be marked as an increasing threshold node.

[0042] If the predicted energy use data is not within the standard energy use assessment range and the energy use trend is decreasing, the preset collection node that first appears below the lower limit of the standard energy use assessment range will be marked as a decreasing threshold node.

[0043] Obtain the energy usage trend of the current data collection node. If the energy usage trend of the current data collection node is increasing, mark the time period required for the current data collection node to increase to the increasing threshold node as the increasing warning period. If the energy usage trend of the current data collection node is decreasing, mark the time period required for the current data collection node to decrease to the decreasing threshold node as the decreasing warning period.

[0044] The increasing and decreasing warning periods are marked as warning periods and stored.

[0045] In a preferred embodiment, the step of obtaining the first control level of the grid-type energy storage system based on the warning period includes:

[0046] Obtain the control level table, which includes multiple first time lengths and the first control level corresponding to each first time length;

[0047] Obtain the first target time length corresponding to the warning period;

[0048] The first control level is obtained from the first control level table based on the first target time length.

[0049] In a preferred embodiment, the step of generating a second control level for the grid-type energy storage system based on energy loss data, energy usage trends, and a first control level includes:

[0050] Based on energy loss data, energy usage trends, and the first control level, obtain the corresponding energy loss value, energy trend value, and first control duration value, respectively.

[0051] The second control duration is calculated based on the energy loss value, energy trend value, and the first control duration value, wherein the calculation formula is as follows:

[0052] T2 = T1 * (S / Z);

[0053] Where T2 represents the second control duration value, T1 represents the first control duration value, S represents the energy loss value, and Z represents the energy trend value;

[0054] Obtain the second control level table, wherein the second control level table includes multiple second time lengths and the second control level corresponding to each second time length;

[0055] Obtain the second target time length corresponding to the second regulation duration value;

[0056] The corresponding second control level is obtained from the second control level table based on the second target time length.

[0057] In a preferred embodiment, the step of performing energy balance regulation on the grid-type energy storage system according to the second regulation level includes:

[0058] Obtain the energy usage trend corresponding to energy usage anomalies in the grid-type energy storage system, where the energy usage trend includes increasing energy usage trend and decreasing energy usage trend;

[0059] Obtain the increasing threshold node corresponding to the increasing trend of energy use;

[0060] Obtain the decreasing threshold node corresponding to the decreasing trend of energy use;

[0061] If energy consumption trends increase, then the energy storage and power generation at the increasing threshold node will be balanced and regulated according to the regulation duration.

[0062] If energy use trends decrease, then the energy storage and power generation at the decreasing threshold node will be balanced and regulated according to the regulation duration.

[0063] In a preferred embodiment, after the step of performing energy balance regulation on the grid-type energy storage system according to the second regulation level, the method further includes:

[0064] Obtain the energy balance control range and the difference between the energy storage energy and power generation energy balance control;

[0065] Determine whether the energy balance control difference is within the energy balance control range;

[0066] If the balance control difference is not within the energy balance control range and the energy use trend is increasing, then when the balance control difference is less than the lower limit of the energy balance control range, the balance control of energy storage energy utilization rate and power generation energy utilization rate will be stopped.

[0067] If the balance control difference is not within the energy balance control range and the energy use trend is decreasing, then when the balance control difference is greater than the upper limit of the energy balance control range, the balance control of energy storage utilization rate and power generation utilization rate will be stopped.

[0068] In a preferred embodiment, after the step of performing energy balance regulation on the grid-type energy storage system according to the second regulation level, the method further includes:

[0069] The first total number of times the energy use anomaly of the grid-type energy storage system was determined to exist within the first monitoring time period, and the anomaly compensation parameters corresponding to the first total number of anomalies, are obtained.

[0070] Determine whether the total number of the first anomalies exceeds a preset value;

[0071] If the total number of the first abnormalities exceeds a preset value, a third control level is generated based on the total number of the first abnormalities, the abnormality compensation parameter corresponding to the total number of the first abnormalities, and the second control level.

[0072] The third control level is used as the second control level and returned to the step of performing energy balance control on the grid-type energy storage system according to the second control level;

[0073] Obtain the total number of second anomalies and the anomaly information corresponding to the total number of second anomalies within the second monitoring period;

[0074] Determine whether the total number of the second abnormality exceeds the total number of the first abnormality;

[0075] If the total number of second anomalies exceeds the total number of first anomalies, then the energy usage data where the total number of second anomalies exceeds the total number of first anomalies will be marked as secondary damaged energy data.

[0076] Acquire energy devices that meet preset standards corresponding to the secondary damage energy data. These energy devices include energy storage devices and power generation devices.

[0077] Determine whether the output power of the grid-connected energy storage system meets the preset power when it is connected to the grid.

[0078] If the output power of the grid-connected energy storage system does not meet the preset power when connected to the grid, the energy equipment will be used as a backup energy source for the grid-connected energy storage system.

[0079] The present invention also provides an energy monitoring system for a grid-type energy storage system, and an energy monitoring method for the aforementioned grid-type energy storage system, comprising:

[0080] The data extraction module is used to acquire energy usage data of the grid-type energy storage system, wherein the energy usage data includes energy storage energy usage data and power generation energy usage data;

[0081] The trend analysis module is used to calculate the energy usage trend of grid-type energy storage systems based on energy usage data;

[0082] The comparison module is used to determine whether the energy usage trend meets preset conditions;

[0083] If the energy usage trend does not meet the preset conditions, it is determined that the grid-type energy storage system has an energy usage anomaly;

[0084] The threshold module is used to obtain warning information of abnormal energy use in the grid-type energy storage system, obtain the warning period corresponding to the warning information, and obtain the first control level of the grid-type energy storage system according to the warning period.

[0085] The loss module is used to acquire energy loss data of the grid-type energy storage system, wherein the energy loss data includes energy storage energy loss data and power generation energy loss data.

[0086] The control module is used to generate a second control level for the grid-type energy storage system based on energy loss data, energy usage trends, and the first control level, and to perform energy balance control on the grid-type energy storage system according to the second control level.

[0087] The technical effects achieved by this invention are as follows:

[0088] This invention, by acquiring energy loss data and generating a second control level based on this data, can overcome the shortcomings of existing control levels, making control more precise and timely. This improves the stability and energy utilization efficiency of grid-connected energy storage systems, reducing the use of stored energy and increasing power generation. It enables real-time monitoring of the energy usage of grid-connected energy storage systems, timely detection of anomalies, and automatic anomaly identification and control level generation, reducing the burden on maintenance personnel. Through analysis of energy loss data and trends, reasonable control strategies can be generated to optimize the operating efficiency of grid-connected energy storage systems. By monitoring energy usage trends, anomalies can be detected promptly, and corresponding warning information can be provided, facilitating timely handling of anomalies and improving the stability and reliability of grid-connected energy storage systems. Timely detection and adjustment of anomalies enable faster response to changes in energy demand, ensuring the stability and security of the power grid. Attached Figure Description

[0089] Figure 1 This is a flowchart of an energy monitoring method for a grid-type energy storage system provided in an embodiment of the present invention;

[0090] Figure 2 This is a block diagram of an energy monitoring system for a grid-type energy storage system provided in an embodiment of the present invention. Detailed Implementation

[0091] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0092] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0093] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in a preferred embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that mutually excludes other embodiments.

[0094] Furthermore, the present invention will be described in detail with reference to the schematic diagrams. When describing the embodiments of the present invention in detail, the schematic diagrams are merely examples for ease of explanation and should not limit the scope of protection of the present invention.

[0095] Please see the appendix Figure 1 As shown, an energy monitoring method for a grid-type energy storage system is provided, including:

[0096] S1. Obtain energy usage data of the grid-type energy storage system, wherein the energy usage data includes energy storage energy usage data and power generation energy usage data;

[0097] S2. Calculate the energy usage trend of the grid-type energy storage system based on energy usage data;

[0098] S3. Determine whether the energy usage trend meets the preset conditions;

[0099] If the energy usage trend does not meet the preset conditions, it is determined that the grid-type energy storage system has an energy usage anomaly;

[0100] S4. Obtain warning information indicating abnormal energy use in the grid-type energy storage system, obtain the warning period corresponding to the warning information, and obtain the first control level of the grid-type energy storage system based on the warning period.

[0101] S5. Obtain energy loss data of the grid-type energy storage system, wherein the energy loss data includes energy storage energy loss data and power generation energy loss data;

[0102] S6. Based on energy loss data, energy usage trends, and the first control level, generate the second control level for the grid-type energy storage system, and perform energy balance control on the grid-type energy storage system according to the second control level.

[0103] As described in steps S1 to S6 above, firstly, energy usage data, including data on energy storage and power generation, is collected in real time. By analyzing this data, energy usage trends are determined to predict future usage. These trends are compared with preset conditions; if an anomaly is detected, an energy usage anomaly is identified, generating a warning message and determining the warning period. Then, based on this warning period, a first control level is determined. Next, energy loss data for current energy storage and power generation is collected, such as energy degradation during use. Based on the energy loss data, energy usage trends, and the first control level, a second control level is generated to balance the energy usage of the grid-type energy storage system, such as reducing energy storage usage and increasing... Increase the use of power generation energy. For example, suppose a city has a grid-type energy storage system used to balance the energy supply in the power system. It collects and analyzes the energy usage data of the past 24 hours every day and predicts the energy usage trend for a period of time in the future. In the analysis of a certain day, an anomaly is found, that is, during the high load period, the use of energy storage energy increases significantly, while the use of power generation energy decreases. This situation does not conform to the normal energy usage trend, so an alert is immediately issued and the first control level is determined. The loss rate of the current energy storage energy and power generation energy is collected, and based on the energy usage trend and the first control level, a second control level is generated. Based on the second control level, the grid-type energy storage system is adjusted and controlled for energy balance.

[0104] In existing technologies, energy can be directly regulated based on warning information. However, when making adjustments based on manual inspections and simple data records, only energy storage or power generation can be adjusted individually, requiring manual adjustments one by one. Furthermore, the accuracy of these adjustments depends on the operator's control over the precision of the regulation, and automatic adaptive adjustments are not possible. This application, when generating the first regulation level, considers both energy storage and power generation factors, calculates energy usage trend values ​​based on both, and obtains the first regulation level according to the warning period. This allows for accurate adaptive adjustments to both energy storage and power generation simultaneously based on the first regulation level, eliminating reliance on the operator's professional skills.

[0105] Considering the energy losses inherent in grid-connected energy storage systems, and the adverse effects of these losses on their stable operation, this embodiment acquires energy loss data and generates a second control level based on this data. This second control level allows for balanced control of the grid-connected energy storage system, improving its stability and energy utilization efficiency. This reduces the use of stored energy and increases power generation output. The system can monitor energy usage in real time, promptly detect anomalies, and automatically identify and generate control levels, reducing the workload of staff. Analysis of energy loss data and trends allows for the generation of reasonable control strategies to optimize the system's operational efficiency. Monitoring energy usage trends enables timely detection of anomalies and provides corresponding warnings, facilitating timely handling of abnormal situations and improving the stability and reliability of the grid-connected energy storage system. Timely detection and adjustment of anomalies allow for faster response to changes in energy demand, ensuring the stability and security of the power grid.

[0106] The steps for obtaining energy usage data from a grid-based energy storage system include:

[0107] S101. Obtain the data acquisition frequency of the grid-type energy storage system;

[0108] S102. Determine the acquisition duration based on the acquisition frequency, and establish multiple acquisition nodes based on the acquisition duration;

[0109] S103. Collect energy storage usage data from multiple data collection nodes, including historical energy storage usage data and current energy storage data.

[0110] S104. Collect power generation energy usage data from multiple data collection nodes, including historical power generation energy usage data and current power generation energy usage data.

[0111] S105. Combine energy storage energy usage data and power generation energy usage data into energy usage data.

[0112] As described in steps S101 to S105 above, firstly, it is necessary to determine the data acquisition frequency, i.e., how often to collect data. This can be determined based on needs and actual conditions, such as collecting data per hour, per minute, or per second. Based on the acquisition frequency, the duration of each acquisition can be determined, and multiple acquisition nodes can be established based on this duration. These acquisition nodes can be distributed at key locations or equipment in the grid-type energy storage system to ensure comprehensive collection of energy usage data. Within each acquisition node, both energy storage energy usage data and power generation energy usage data will be collected simultaneously. Energy storage energy usage data includes historical energy storage energy usage data and current energy storage energy usage data, while power generation energy usage data includes historical power generation energy usage data and current power generation energy usage data. The acquisition of these parameters can be achieved through sensors. Energy data is collected using instruments, meters, or other monitoring equipment. This data is then aggregated to form energy usage data for subsequent analysis and processing. Frequent data collection enables real-time monitoring of energy usage, allowing for the timely detection of potential problems or anomalies, and facilitating adjustments and feedback to maintain stable operation. Determining the collection frequency and nodes ensures data accuracy and comprehensiveness, providing a reliable foundation for subsequent analysis and decision-making. Automated data collection reduces labor and time costs, improving efficiency and accuracy. Based on accurate energy usage data, more refined and personalized energy control strategies can be developed, improving energy efficiency and achieving energy conservation and cost reduction goals.

[0113] The steps for calculating the energy usage trends of a grid-type energy storage system based on energy usage data include:

[0114] S201. Based on the energy storage usage data, obtain the corresponding multiple energy storage utilization rate parameters, standard energy storage utilization rate parameters, total number of energy storage utilization rate parameters, and energy storage utilization rate parameter numbers.

[0115] S202. Calculate the energy storage usage fluctuation parameter based on the energy storage utilization rate parameter, the standard energy storage utilization rate parameter, the total number of energy storage utilization rate parameters, and the parameter number. The calculation formula is as follows:

[0116]

[0117] Where A represents the energy storage energy usage fluctuation parameter, n represents the total number of energy storage energy utilization rate parameters, i represents the number of the energy storage energy utilization rate parameter, and S... i Let represent the i-th energy storage energy utilization rate parameter, and b represent the standard energy storage energy utilization rate parameter;

[0118] S203. Based on the power generation energy usage data, obtain the corresponding multiple power generation energy usage rate parameters, power generation energy standard usage rate parameters, total number of power generation energy usage rate parameters, and power generation energy usage rate parameter numbers.

[0119] S204. Calculate the power generation energy usage fluctuation parameter based on the power generation energy utilization rate parameter, the standard power generation energy utilization rate parameter, the total number of power generation energy utilization rate parameters, and the parameter number. The calculation formula is as follows:

[0120]

[0121] Where B represents the power generation energy consumption fluctuation parameter, m represents the total number of power generation energy consumption rate parameters, k represents the number of the power generation energy consumption rate parameter, and D... k Let be the kth generation energy utilization rate parameter, and d represent the standard generation energy utilization rate parameter;

[0122] S205. Calculate the energy trend value based on the energy storage energy usage fluctuation parameters and the power generation energy usage fluctuation parameters, wherein the calculation formula is:

[0123] Z = AB;

[0124] Where Z represents the energy trend value, A represents the energy storage energy usage fluctuation parameter, and B represents the power generation energy usage fluctuation parameter;

[0125] S206. Based on the energy trend value, determine whether the energy trend value is within the standard energy trend assessment range;

[0126] If the energy trend value is within the standard energy trend assessment range, the energy use trend of the grid-type energy storage system is determined to be stable.

[0127] If the energy trend value is not within the standard energy trend assessment range and is greater than the upper limit of the standard energy trend assessment range, then the energy use trend of the grid-type energy storage system is determined to be increasing.

[0128] If the energy trend value is not within the standard energy trend assessment range and is less than the lower limit of the standard energy trend assessment range, then the energy use trend of the grid-type energy storage system is determined to be decreasing.

[0129] As described in steps S201 to S206 above, firstly, energy storage energy utilization rate parameters and energy storage standard utilization rate parameters are obtained based on energy usage data. Using these parameters and calculation formulas, fluctuation parameters of energy storage energy usage are calculated. These parameters are used to measure the energy usage of energy storage. Similarly, power generation energy utilization rate parameters and power generation standard utilization rate parameters are obtained to calculate fluctuation parameters of power generation energy usage. Using these parameters and calculation formulas, fluctuation parameters of power generation energy usage are calculated. These parameters are used to measure the energy usage of power generation. The energy trend value is calculated based on the difference between the energy storage energy usage fluctuation parameters and the power generation energy usage fluctuation parameters.

[0130] In traditional methods, the usage trend of grid-type energy storage systems often relies on subjective judgment or simple statistical methods, which are difficult to accurately reflect the true situation of the system. However, this invention introduces formulas to calculate energy fluctuation parameters and trend values, which can objectively quantify the stability and trend of grid-type energy storage systems, thereby improving the accuracy of the assessment.

[0131] Traditional methods often only analyze data within grid-type energy storage systems, making it difficult to compare and evaluate them with other data. However, this invention calculates energy trend values ​​and compares them with standard intervals, which can better compare and evaluate different grid-type energy storage systems, thereby providing a more comprehensive understanding of their performance.

[0132] Traditional methods often rely on subjective judgment or simple statistics, which are difficult to operate and apply to real-world scenarios. However, this invention introduces a formula to calculate energy trend values ​​and makes judgments based on standard intervals. This makes it easier to apply to the evaluation and management of real-world systems, improving the practicality and operability of the method and helping to assess the energy utilization status of grid-type energy storage systems.

[0133] Based on the calculated energy trend value, it is compared with a preset standard energy trend assessment range. This range includes an upper limit and a lower limit to determine whether the energy trend is within the normal range. Different judgments are made based on whether the energy trend value is within the standard assessment range. If the energy trend value is within the standard energy trend assessment range, it is determined that the energy use is balanced and the energy use trend is stable. If the energy trend value exceeds the upper limit of the standard energy trend assessment range, it is determined that the energy use of the grid-type energy storage system is abnormal and the energy use trend is increasing. If the energy trend value is lower than the lower limit of the standard energy trend assessment range, it is determined that the energy use of the grid-type energy storage system is abnormal and the energy use trend is decreasing. This allows for a better understanding of the energy utilization of energy storage and power generation, helps to identify potential problems, and allows for timely measures to be taken to solve them.

[0134] The calculation of energy fluctuation parameters can quantitatively assess the performance of energy storage and power generation, which helps to optimize and improve efficiency and reliability. Based on the judgment of energy trend values, it can provide decision support for operators, such as adjusting the operation strategy of grid-type energy storage system and optimizing energy configuration, thereby achieving better operation and management results, realizing automatic monitoring of energy use trends, reducing the need for manual intervention, improving the level of intelligence and operation efficiency, and enabling timely detection of abnormal energy use trends.

[0135] When the energy trend value exceeds the preset range, the grid-type energy storage system will issue a warning, alerting the operator to potential problems. An energy trend value outside the preset range may indicate abnormal operation or performance degradation of the grid-type energy storage system. This judgment allows for timely measures to be taken to prevent the problem from escalating. It enables real-time monitoring and evaluation of the operating status of the grid-type energy storage system, helping to improve its stability and reliability. Based on the judgment of the energy trend value, the operator can make decisions based on actual data, adjusting the operating strategy of the grid-type energy storage system or performing maintenance to optimize performance and efficiency.

[0136] The steps for obtaining warning information about abnormal energy use in a grid-type energy storage system and obtaining the corresponding warning period include:

[0137] S401. Obtain the energy usage trends corresponding to multiple historical data collection nodes in the grid-type energy storage system that correspond to energy usage anomalies. The energy usage trends include increasing energy usage trends and decreasing energy usage trends.

[0138] S402. Acquire multiple predicted energy usage data corresponding to multiple preset acquisition nodes of the grid-type energy storage system;

[0139] S403. Obtain the standard energy use assessment range, and determine whether the predicted energy use data corresponding to each preset collection node is within the standard energy use assessment range according to the acquisition order.

[0140] If the predicted energy use data is not within the standard energy use assessment range and the energy use trend is increasing, the preset collection node that first appears to be greater than the upper limit of the standard energy use assessment range will be marked as an increasing threshold node.

[0141] If the predicted energy use data is not within the standard energy use assessment range and the energy use trend is decreasing, the preset collection node that first appears below the lower limit of the standard energy use assessment range will be marked as a decreasing threshold node.

[0142] S404. Obtain the energy usage trend of the current data collection node. If the energy usage trend of the current data collection node is increasing, mark the time period required for the current data collection node to increase to the increasing threshold node as the increasing warning period. If the energy usage trend of the current data collection node is decreasing, mark the time period required for the current data collection node to decrease to the decreasing threshold node as the decreasing warning period.

[0143] S405. Mark the increasing and decreasing warning periods as warning periods and store them.

[0144] As described in steps S401 to S405 above, firstly, energy usage trends that do not meet the preset conditions (i.e., the standard energy trend assessment interval) are acquired. These trends may indicate abnormal energy usage, requiring further analysis and processing. Based on these non-standard energy usage trends, future energy usage data is predicted. This may be achieved by establishing a prediction model or simple trend analysis. The predicted energy usage data is then compared with the standard energy usage assessment interval. If the energy usage trend is increasing, the predicted energy usage data is compared with the standard energy usage assessment interval in the order it was acquired, and the node where the first predicted energy usage data exceeds the upper limit of the standard energy usage assessment interval is marked as an increasing threshold node. Conversely, if the energy usage trend is decreasing, the node where the first predicted energy usage data falls below the upper limit of the standard energy usage assessment interval is marked as a decreasing threshold node. Based on the energy usage trend of the current node, energy... When energy usage trends are increasing, the time period required to reach the threshold node is designated as the increasing warning period; when energy usage trends are decreasing, the time period required to reach the threshold node is designated as the decreasing warning period. These increasing and decreasing warning periods are stored as warning periods. These warning periods help assess the urgency of energy regulation. By comparing and analyzing predicted energy usage data, anomalies in energy usage can be detected promptly, preventing potential problems from escalating and ensuring stable operation. Marking the first data collection node showing an anomaly as a threshold node helps to accurately locate the problem location or equipment, providing guidance for subsequent maintenance and repair. Timely marking of threshold nodes allows for rapid response to usage anomalies, enabling appropriate adjustments and repairs, improving response speed and efficiency. Identifying and handling usage anomalies allows for continuous optimization of energy regulation strategies, improving energy efficiency, and reducing operating costs, thereby achieving the goals of energy conservation and cost reduction.

[0145] The steps for obtaining the first control level of the grid-type energy storage system based on the warning period include:

[0146] S405. Obtain the control level table, wherein the control level table includes multiple first time lengths and the first control level corresponding to each first time length;

[0147] S406. Obtain the first target time length corresponding to the warning period;

[0148] S407. Obtain the corresponding first control level from the first control level table based on the first target time length.

[0149] As described in steps S406 to S407 above, firstly, a control level table is obtained. This table includes multiple time lengths and the corresponding control level for each time length. This table can be pre-set, recording the control levels to be taken under different time lengths, or it can be dynamically generated based on the actual situation. The target time length is determined based on the increasing or decreasing warning period. This target time length is the time span of the warning period. The corresponding control level is found in the control level table based on the target time length, and this control level is defined as the first control level.

[0150] If the warning period falls within the first-level assessment interval, then the first control level is level one, indicating that the available control time is the shortest.

[0151] If the warning period falls within the secondary assessment range, then the first control level is secondary, indicating that the available control time is short;

[0152] If the warning period falls within the Level 3 assessment range, then the first control level is Level 3, indicating that the available control time is normal;

[0153] If the warning period falls within the Level 4 assessment range, then the first control level is Level 4, indicating that the control period is long.

[0154] If the warning period falls within the Level 5 assessment range, then the first control level is Level 5, indicating that the control period is the longest.

[0155] By assessing warning periods, the urgency of energy regulation can be determined, helping managers to take timely measures to address abnormal energy usage, improve stability and reliability, and formulate corresponding regulation strategies based on different regulation levels. This optimizes the energy regulation process, improves energy utilization efficiency, and reduces operational risks. By assessing warning periods and determining the first regulation level, and by balancing the utilization rates of energy storage and power generation, resources can be rationally allocated to ensure timely action in emergencies, thereby guaranteeing safe operation.

[0156] The steps for generating the second control level of a grid-type energy storage system based on energy loss data, energy usage trends, and the first control level include:

[0157] S601. Based on energy loss data, energy usage trends and the first control level, obtain the corresponding energy loss value, energy trend value and first control duration value respectively.

[0158] S602. Calculate the second control duration value based on the energy loss value, energy trend value, and first control duration value, wherein the calculation formula is:

[0159] T2 = T1 * (S / Z);

[0160] Where T2 represents the second control duration value, T1 represents the first control duration value, S represents the energy loss value, and Z represents the energy trend value;

[0161] S603. Obtain the second control level table, wherein the second control level table includes multiple second time lengths and the second control level corresponding to each second time length;

[0162] S604. Obtain the second target time length corresponding to the second control duration value;

[0163] S605. Obtain the corresponding second control level from the second control level table based on the second target time length.

[0164] As described in steps S601 to S605 above, firstly, based on the current energy loss data, energy usage trends, and the first control level, the corresponding energy loss value, energy trend value, and first control duration value are obtained. These data form the basis for calculating the second control duration value. The given calculation formula is used to calculate the second control duration value, taking into account the current energy loss situation and trends. A second control level table is then obtained, which includes multiple time lengths and the corresponding control level for each time length. This table can be pre-set or dynamically generated based on actual conditions. Based on the calculated second control duration value, the corresponding second target time length is determined. The corresponding control level is then searched in the second control level table based on the second target time length. The system determines the appropriate control level and defines it as the second control level. By calculating the duration of the second control based on energy loss data and energy usage trends, the control duration can be finely adjusted according to actual conditions, improving the flexibility and targeting of the control strategy. By obtaining the second control level from the second control level table, the control level can be quickly determined, and corresponding control measures can be implemented based on this level, improving the efficiency and accuracy of control. By adjusting the control duration according to energy loss and energy trends, energy utilization can be better optimized, energy waste reduced, and energy utilization efficiency improved. Through fine-grained control and optimization of energy utilization, energy loss can be reduced, operating costs reduced, and economic efficiency and sustainability improved.

[0165] The steps for energy balance regulation of the grid-type energy storage system according to the second regulation level include:

[0166] S606. Obtain the energy usage trend corresponding to the energy usage anomaly in the grid-type energy storage system, wherein the energy usage trend includes increasing energy usage trend and decreasing energy usage trend.

[0167] S607. Obtain the increasing threshold node corresponding to the increasing trend of energy use;

[0168] S608, Obtain the decreasing threshold node corresponding to the decreasing energy usage trend;

[0169] If energy consumption trends increase, then the energy storage and power generation at the increasing threshold node will be balanced and regulated according to the regulation duration.

[0170] If energy use trends decrease, then the energy storage and power generation at the decreasing threshold node will be balanced and regulated according to the regulation duration.

[0171] As described in steps S606 to S608 above, the energy use trend corresponding to the energy use anomaly in the grid-type energy storage system is obtained, including the increasing energy use trend and the decreasing energy use trend. These trends reflect the direction of change in energy use. Based on the increasing energy use trend, the increasing threshold node corresponding to the increasing energy use trend is obtained, that is, the node that exceeds the standard energy use assessment range. Based on the decreasing energy use trend, the decreasing threshold node corresponding to the decreasing energy use trend is obtained, that is, the node that is lower than the standard energy use assessment range.

[0172] If energy consumption trends increase, the energy storage utilization rate at the threshold node will be reduced according to the duration of the regulation, while the energy generation utilization rate will be increased to balance energy supply and demand, ensure the rational use of energy, and prevent excessive consumption of energy storage.

[0173] If energy use trends decrease, the energy storage utilization rate at the threshold node will be increased according to the duration of the regulation, while the power generation utilization rate will be reduced to ensure that energy storage is fully utilized and that the power generation supply is not excessive.

[0174] By balancing and regulating the utilization rates of energy storage and power generation, control can be achieved through the discharge time of energy storage and power generation per unit time, or through other methods (which will not be elaborated upon here). This maintains a balance between energy supply and demand, prevents overcharging or over-discharging, and ensures stable energy operation. Regulating based on energy usage trends optimizes the utilization efficiency of energy storage and power generation, ensuring full and efficient energy use, reducing energy costs. Timely and balanced regulation can respond to changes in energy usage trends, maintain energy stability, improve reliability and stability, rationally regulate energy utilization, avoid energy waste, reduce over-generation, and contribute to reducing energy consumption and carbon emissions, thus achieving the goals of energy conservation and emission reduction.

[0175] Following the step of performing energy balance regulation on the grid-type energy storage system according to the second regulation level, the following is also included:

[0176] S6091. Obtain the energy balance control range and obtain the energy storage energy and power generation energy balance control difference;

[0177] S6092. Determine whether the energy balance control difference is within the energy balance control range;

[0178] If the balance control difference is not within the energy balance control range and the energy use trend is increasing, then when the balance control difference is less than the lower limit of the energy balance control range, the balance control of energy storage energy utilization rate and power generation energy utilization rate will be stopped.

[0179] If the balance control difference is not within the energy balance control range and the energy use trend is decreasing, then when the balance control difference is greater than the upper limit of the energy balance control range, the balance control of energy storage utilization rate and power generation utilization rate will be stopped.

[0180] As described in steps S6091 to S6092 above, the energy balance control range is obtained. This range reflects the reasonable range between the utilization rates of energy storage and power generation. It can be determined based on characteristics and demand, and is generally within a certain range to ensure the balance and stable operation of energy supply and demand. The result of the energy storage and power generation utilization rate control, i.e., the difference between the energy storage and power generation balance control, can be obtained by calculating the difference between the energy storage and power generation utilization rates after balance control, and then compared with the energy balance control range.

[0181] If energy consumption trends increase, calculate the difference between the reduced energy storage utilization rate and the increased power generation utilization rate. If this difference is less than the energy balance control range, then stop the balance control of energy storage utilization rate and power generation utilization rate.

[0182] If energy use trends decrease, calculate the difference between the increased energy storage utilization rate and the decreased power generation utilization rate. If this difference is greater than the energy balance control range, then stop the balance control of energy storage utilization rate and power generation utilization rate.

[0183] By regulating the utilization rates of energy storage and power generation within a reasonable range, it is possible to ensure a balance between energy supply and demand, maintain stable operation, and prevent instability caused by excessive regulation. Regulating energy utilization rates within the energy equilibrium regulation range can avoid unnecessary energy waste, reduce energy costs, and improve energy efficiency. Avoiding excessive regulation of energy utilization rates can reduce frequent start-ups and shutdowns of equipment and changes in operating load, which helps extend the service life of equipment and reduce maintenance and replacement costs. A reasonable energy regulation strategy can optimize performance, improve response speed and stability, and provide users with more reliable and efficient energy services.

[0184] Following the steps of generating a second control level for the grid-type energy storage system based on energy loss data, energy usage trends, and the first control level, and then performing energy balance control on the grid-type energy storage system according to the second control level, the system further includes:

[0185] S701. Obtain the first total number of times that the grid-type energy storage system is determined to have abnormal energy use during the first monitoring time period, and the abnormal compensation parameters corresponding to the first total number of times.

[0186] S702. Determine whether the total number of the first abnormalities exceeds a preset value;

[0187] If the total number of the first abnormalities exceeds a preset value, a third control level is generated based on the total number of the first abnormalities, the abnormality compensation parameter corresponding to the total number of the first abnormalities, and the second control level.

[0188] S703, the step of taking the third control level as the second control level and returning to the step of performing energy balance control on the grid-type energy storage system according to the second control level;

[0189] S704. Obtain the total number of second anomalies and the anomaly information corresponding to the total number of second anomalies within the second monitoring time period;

[0190] S705. Determine whether the total number of the second abnormality exceeds the total number of the first abnormality;

[0191] If the total number of second anomalies exceeds the total number of first anomalies, then the energy usage data where the total number of second anomalies exceeds the total number of first anomalies will be marked as secondary damaged energy data.

[0192] S706. Obtain the energy equipment that meets the preset standards corresponding to the secondary damaged energy data. The energy equipment includes energy storage equipment and power generation equipment.

[0193] S707. Determine whether the output power of the grid-connected energy storage system meets the preset power when it is connected to the grid.

[0194] If the output power of the grid-connected energy storage system does not meet the preset power when connected to the grid, the energy equipment will be used as a backup energy source for the grid-connected energy storage system.

[0195] As described in steps S701 to S707 above, after energy balance regulation, a first monitoring period is established to monitor abnormal energy use in the grid-type energy storage system during this period, i.e., abnormal frequency and abnormal information. Abnormal compensation parameters are extracted from the abnormal frequency and information. Combined with the abnormal energy use frequency and compensation parameters, and the second regulation level, a third regulation level is generated. The second regulation duration is calculated using a given formula, such as T3 = T2 * (C / P), where T3 represents the third regulation duration, T2 represents the second regulation duration, C represents the compensation parameter, and P... The frequency of anomalies is indicated, and a third control level table is obtained, which includes multiple time lengths and the corresponding control level for each time length. This table can be preset or dynamically generated based on actual conditions. Based on the calculated third control duration value, the corresponding third target time length is determined. The corresponding control level is then found in the third control level table based on the third target time length and defined as the third control level. Based on the third control level, the grid-type energy storage system after equalization control is subjected to further energy equalization control to optimize its operating status and establish the first monitoring period. If the second... If the frequency of abnormal energy usage during a monitoring period is higher than that during the first monitoring period, the energy sources exhibiting abnormal frequencies are marked as secondary damage. For secondary damage energy sources whose abnormal information meets preset standards, they are marked as backup energy devices, including energy storage backup energy devices and power generation backup energy devices. When the grid-connected output power of the grid-connected energy storage system is insufficient, energy sources meeting grid connection standards can be selected from the backup energy devices to provide additional output power. Once the output power reaches a stable level, the use of backup energy devices will cease. By monitoring the frequency of abnormalities and compensation parameters, abnormal energy usage can be detected and addressed promptly, thereby improving stability and reliability. The entire process can be automated, reducing manual intervention and improving operational efficiency and reliability. By marking and utilizing backup energy, energy utilization can be better optimized, ensuring normal operation under various working conditions. Marking and backing up energy sources with high abnormal frequencies helps reduce secondary damage to the grid-connected energy storage system and extends its service life. Through energy balancing control and the use of backup energy, the grid-connected energy storage system can better cope with emergencies, improving its stability and reliability.

[0196] Please see the appendix Figure 2 As shown, the present invention also provides an energy monitoring system for a grid-type energy storage system, and an energy monitoring method for the aforementioned grid-type energy storage system, comprising:

[0197] The data extraction module is used to acquire energy usage data of the grid-type energy storage system, which includes energy storage energy usage data and power generation energy usage data.

[0198] The trend analysis module is used to calculate the energy usage trend of grid-type energy storage systems based on energy usage data;

[0199] The comparison module is used to determine whether energy usage trends meet preset conditions.

[0200] If the energy usage trend does not meet the preset conditions, it is determined that there is an energy usage anomaly in the grid-type energy storage system;

[0201] The threshold module is used to obtain warning information of abnormal energy use in the grid-type energy storage system, obtain the warning period corresponding to the warning information, and obtain the first control level of the grid-type energy storage system based on the warning period.

[0202] The loss module is used to acquire energy loss data of the grid-type energy storage system, which includes energy loss data of energy storage and energy loss data of power generation.

[0203] The control module is used to generate a second control level for the grid-type energy storage system based on energy loss data, energy usage trends, and the first control level, and to perform energy balance control on the grid-type energy storage system according to the second control level.

[0204] As described above, the data extraction module is responsible for acquiring energy usage data from the grid-type energy storage system, including historical and current energy usage. Based on the acquired energy usage data, the trend analysis module performs trend analysis, calculating the energy usage trends of energy storage and power generation. The comparison module compares whether the energy usage trends meet preset conditions; if not, it is determined as abnormal energy usage. The threshold module generates warning information and determines the warning period based on the determination of abnormal energy usage, and then generates a first control level based on this warning period. The loss module acquires energy loss data from the grid-type energy storage system, including energy loss from energy storage and power generation. The control module generates a second control level for the grid-type energy storage system based on the energy loss data, energy usage trends, and the first control level, and performs energy balance control, acquiring energy usage data in real time. Data can provide the foundation for subsequent energy analysis and monitoring, helping grid-based energy storage systems respond quickly to changes. By analyzing energy usage trends, a better understanding of energy consumption can be achieved, providing a basis for subsequent anomaly detection and control. Timely detection of energy usage anomalies can help grid-based energy storage systems take measures to avoid system failures or energy waste, improving the reliability and stability of the system. By setting thresholds, energy usage can be automatically detected based on preset conditions, enabling timely detection of anomalies and facilitating stable operation. By monitoring energy loss, the operating efficiency of the grid-based energy storage system can be assessed, and adjustments can be made based on the loss situation to improve energy utilization efficiency. The operating status of the grid-based energy storage system can be automatically adjusted based on real-time data and preset conditions.

[0205] The above description is merely a preferred embodiment of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention. Structures, devices, and operating methods not specifically described or explained in this invention are implemented according to conventional methods in the art unless otherwise specified or limited.

Claims

1. An energy monitoring method for a grid-type energy storage system, characterized in that, include: Acquire energy usage data of a grid-type energy storage system, wherein the energy usage data includes energy storage energy usage data and power generation energy usage data; Calculate the energy usage trend of grid-type energy storage systems based on energy usage data; Determine whether the energy usage trend meets preset conditions; If the energy usage trend does not meet the preset conditions, it is determined that the grid-type energy storage system has an energy usage anomaly; The system acquires warning information indicating abnormal energy use in the grid-type energy storage system, acquires the warning period corresponding to the warning information, and acquires the first control level of the grid-type energy storage system based on the warning period. Acquire energy loss data of a grid-type energy storage system, wherein the energy loss data includes energy storage energy loss data and power generation energy loss data; Based on energy loss data, energy usage trends, and the first control level, a second control level is generated for the grid-type energy storage system, and energy balance control is performed on the grid-type energy storage system according to the second control level. The step of generating a second control level for the grid-type energy storage system based on energy loss data, energy usage trends, and the first control level includes: Based on energy loss data, energy usage trends, and the first control level, obtain the corresponding energy loss value, energy trend value, and first control duration value, respectively. The second control duration is calculated based on the energy loss value, energy trend value, and the first control duration value, wherein the calculation formula is as follows: ； in, This is represented as the second regulation duration value. S represents the first regulation duration value, S represents the energy loss value, and Z represents the energy trend value. Obtain the second control level table, wherein the second control level table includes multiple second time lengths and the second control level corresponding to each second time length; Obtain the second target time length corresponding to the second regulation duration value; The corresponding second control level is obtained from the second control level table based on the second target time length.

2. The energy monitoring method for a grid-type energy storage system according to claim 1, characterized in that, The steps for obtaining energy usage data of a grid-type energy storage system include: Obtain the data acquisition frequency of the grid-type energy storage system; The collection duration is determined based on the collection frequency, and multiple collection nodes are established based on the collection duration; Collect energy storage usage data from multiple data collection nodes. This data includes historical energy storage usage data and current energy storage usage data. Data on power generation and energy usage is collected from multiple data collection nodes. This data includes historical power generation and energy usage data as well as current power generation and energy usage data. Energy storage energy usage data and power generation energy usage data are combined into energy usage data.

3. The energy monitoring method for a grid-type energy storage system according to claim 1, characterized in that, The step of calculating the energy usage trend of the grid-type energy storage system based on energy usage data includes: Based on the energy storage usage data, obtain the corresponding multiple energy storage utilization rate parameters, standard energy storage utilization rate parameters, total number of energy storage utilization rate parameters, and energy storage utilization rate parameter numbers; The energy storage usage fluctuation parameter is calculated based on the energy storage utilization rate parameter, the standard energy storage utilization rate parameter, the total number of energy storage utilization rate parameters, and the parameter number. The calculation formula is as follows: ； Where A represents the energy storage energy usage fluctuation parameter, n represents the total number of energy storage energy utilization rate parameters, and i represents the number of the energy storage energy utilization rate parameter. Let b represent the energy utilization rate parameter of the i-th energy storage unit. This indicates the standard utilization rate parameters of energy storage. Based on the power generation energy usage data, obtain the corresponding multiple power generation energy usage rate parameters, standard power generation energy usage rate parameters, total number of power generation energy usage rate parameters, and parameter numbers; The power generation energy utilization fluctuation parameter is calculated based on the power generation energy utilization rate parameter, the standard power generation energy utilization rate parameter, the total number of power generation energy utilization rate parameters, and the parameter number. The calculation formula is as follows: ； Where B represents the power generation energy consumption fluctuation parameter, m represents the total number of power generation energy consumption rate parameters, and k represents the number of the power generation energy consumption rate parameter. Let be the kth power generation energy utilization rate parameter, and d represent the standard power generation energy utilization rate parameter; The energy trend value is calculated based on the fluctuation parameters of energy storage and power generation, where the calculation formula is as follows: Z=AB; Where Z represents the energy trend value, A represents the energy storage energy usage fluctuation parameter, and B represents the power generation energy usage fluctuation parameter; Determine whether the energy trend value is within the standard energy trend assessment range; If the energy trend value is within the standard energy trend assessment range, the energy use trend of the grid-type energy storage system is determined to be stable. If the energy trend value is not within the standard energy trend assessment range and is greater than the upper limit of the standard energy trend assessment range, then the energy use trend of the grid-type energy storage system is determined to be increasing. If the energy trend value is not within the standard energy trend assessment range and is less than the lower limit of the standard energy trend assessment range, then the energy use trend of the grid-type energy storage system is determined to be decreasing.

4. The energy monitoring method for a grid-type energy storage system according to claim 1, characterized in that, The steps of obtaining warning information indicating abnormal energy use in a grid-type energy storage system and obtaining the corresponding warning period include: Obtain the energy usage trends of multiple historical data collection nodes corresponding to energy usage anomalies in a grid-type energy storage system. The energy usage trends include increasing and decreasing energy usage trends. Acquire multiple predicted energy usage data corresponding to multiple preset acquisition nodes of a grid-type energy storage system; Obtain the standard energy use assessment range, and determine whether the predicted energy use data corresponding to each preset collection node is within the standard energy use assessment range according to the acquisition order; If the predicted energy use data is not within the standard energy use assessment range and the energy use trend is increasing, the preset collection node that first appears to be greater than the upper limit of the standard energy use assessment range will be marked as an increasing threshold node. If the predicted energy use data is not within the standard energy use assessment range and the energy use trend is decreasing, the preset collection node that first appears below the lower limit of the standard energy use assessment range will be marked as a decreasing threshold node. Obtain the energy usage trend of the current data collection node. If the energy usage trend of the current data collection node is increasing, mark the time period required for the current data collection node to increase to the increasing threshold node as the increasing warning period. If the energy usage trend of the current data collection node is decreasing, mark the time period required for the current data collection node to decrease to the decreasing threshold node as the decreasing warning period. The increasing and decreasing warning periods are marked as warning periods and stored.

5. The energy monitoring method for a grid-type energy storage system according to claim 1, characterized in that, The step of obtaining the first control level of the grid-type energy storage system based on the warning period includes: Obtain the control level table, which includes multiple first time lengths and the first control level corresponding to each first time length; Obtain the first target time length corresponding to the warning period; The first control level is obtained from the first control level table based on the first target time length.

6. The energy monitoring method for a grid-type energy storage system according to claim 1, characterized in that, The steps of performing energy balance regulation on the grid-type energy storage system according to the second regulation level include: Obtain the energy usage trend corresponding to energy usage anomalies in the grid-type energy storage system, where the energy usage trend includes increasing energy usage trend and decreasing energy usage trend; Obtain the increasing threshold node corresponding to the increasing trend of energy use; Obtain the decreasing threshold node corresponding to the decreasing trend of energy use; If energy consumption trends increase, then the energy storage and power generation at the increasing threshold node will be balanced and regulated according to the regulation duration. If energy use trends decrease, then the energy storage and power generation at the decreasing threshold node will be balanced and regulated according to the regulation duration.

7. The energy monitoring method for a grid-type energy storage system according to claim 1, characterized in that, Following the step of performing energy balance regulation on the grid-type energy storage system according to the second regulation level, the method further includes: Obtain the energy balance control range and the difference between the energy storage energy and power generation energy balance control; Determine whether the energy balance control difference is within the energy balance control range; If the balance control difference is not within the energy balance control range and the energy use trend is increasing, then when the balance control difference is less than the lower limit of the energy balance control range, the balance control of energy storage energy utilization rate and power generation energy utilization rate will be stopped. If the balance control difference is not within the energy balance control range and the energy use trend is decreasing, then when the balance control difference is greater than the upper limit of the energy balance control range, the balance control of energy storage utilization rate and power generation utilization rate will be stopped.

8. The energy monitoring method for a grid-type energy storage system according to claim 1, characterized in that, Following the step of performing energy balance regulation on the grid-type energy storage system according to the second regulation level, the method further includes: The first total number of times the energy use anomaly of the grid-type energy storage system was determined to exist within the first monitoring time period, and the anomaly compensation parameters corresponding to the first total number of anomalies, are obtained. Determine whether the total number of the first anomalies exceeds a preset value; If the total number of the first abnormalities exceeds a preset value, a third control level is generated based on the total number of the first abnormalities, the abnormality compensation parameter corresponding to the total number of the first abnormalities, and the second control level. The third control level is used as the second control level and returned to the step of performing energy balance control on the grid-type energy storage system according to the second control level; Obtain the total number of second anomalies and the anomaly information corresponding to the total number of second anomalies within the second monitoring period; Determine whether the total number of the second abnormality exceeds the total number of the first abnormality; If the total number of second anomalies exceeds the total number of first anomalies, then the energy usage data where the total number of second anomalies exceeds the total number of first anomalies will be marked as secondary damaged energy data. Acquire energy devices that meet preset standards corresponding to the secondary damage energy data. These energy devices include energy storage devices and power generation devices. Determine whether the output power of the grid-connected energy storage system meets the preset power when it is connected to the grid. If the output power of the grid-connected energy storage system does not meet the preset power when connected to the grid, the energy equipment will be used as a backup energy source for the grid-connected energy storage system.

9. An energy monitoring system for a grid-type energy storage system, applied to the energy monitoring method for the grid-type energy storage system according to any one of claims 1 to 8, characterized in that, include: The data extraction module is used to acquire energy usage data of the grid-type energy storage system, wherein the energy usage data includes energy storage energy usage data and power generation energy usage data; The trend analysis module is used to calculate the energy usage trend of grid-type energy storage systems based on energy usage data; The comparison module is used to determine whether the energy usage trend meets preset conditions; If the energy usage trend does not meet the preset conditions, it is determined that the grid-type energy storage system has an energy usage anomaly; The threshold module is used to obtain warning information of abnormal energy use in the grid-type energy storage system, obtain the warning period corresponding to the warning information, and obtain the first control level of the grid-type energy storage system according to the warning period. The loss module is used to acquire energy loss data of the grid-type energy storage system, wherein the energy loss data includes energy storage energy loss data and power generation energy loss data. The control module is used to generate a second control level for the grid-type energy storage system based on energy loss data, energy usage trends, and the first control level, and to perform energy balance control on the grid-type energy storage system according to the second control level.

Images