An uninterruptible power supply system and method based on capacitor energy storage

Abstract

The present invention discloses an uninterruptible power supply system and method based on capacitive energy storage, which relates to the technical field of uninterruptible power supply. It collects historical power consumption data and the corresponding time points, stores them as a historical data set, obtains the current time point, extracts the time length starting from the current time period and the corresponding total power consumption, and outputs them as a prediction data set. It calculates the energy of a single capacitor, calculates and stores the number of capacitors according to the total capacitive energy, and establishes a deployment decision based on the prediction data set and the number of capacitors. Through data collection and analysis, the present invention accurately predicts the power consumption demand, calculates the required capacitance accordingly, and intelligently formulates a capacitance deployment strategy based on the prediction results, flexibly controls the capacitor switch state, ensures stable power supply in each time period, realizes uninterruptible power supply through precise deployment of capacitive resources, improves the energy utilization efficiency, and reduces the operating cost at the same time.

Description

Technical Field

[0001] The present invention relates to the technical field of uninterruptible power supply, and in particular, to an uninterruptible power supply system and method based on capacitor energy storage. Background Art

[0002] With the rapid development of modern society, electricity has become an indispensable infrastructure to support the operation of the economic society. However, the volatility and unpredictability of electricity demand have brought great challenges to the stable operation of the power system. Especially when facing sudden increases in power load or grid failures, how to ensure the continuity and stability of power supply has become an urgent problem to be solved. As an important energy storage method, capacitor energy storage technology has gradually been widely used in the power system due to its advantages such as fast response speed, high power density, and long cycle life.

[0003] Currently, the Chinese patent with the application number CN202210964778.9 discloses an uninterruptible power supply method and power supply system, including the following steps executed by each control unit: obtaining the power supply status of the mains in real time; when the mains power supply is normal, enabling the first power supply branch to supply power to the electrical equipment; when the mains power supply is abnormal, controlling the inverter unit to convert the direct current of the DC energy storage unit into alternating current and output it according to the backup power duration until the backup power duration is zero or the mains power supply returns to normal; the initial value of the backup power duration is set in advance, and the backup power duration decreases as the time of abnormal mains power supply increases and returns to the initial value when the mains power supply returns to normal. By sharing a DC energy storage unit among multiple inverter units, while meeting the reliable power supply of multiple users, the usage cost of the uninterruptible power supply can be greatly reduced.

[0004] This invention is difficult to predict and allocate energy storage devices in advance according to historical electricity demand, difficult to improve energy utilization efficiency, and increases operating costs. Summary of the Invention

[0005] The technical problem solved by the present invention is that in the related art, it is difficult to predict and allocate energy storage devices in advance according to historical electricity demand, difficult to improve energy utilization efficiency, and increases operating costs.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] An uninterruptible power supply system based on capacitor energy storage includes a data collection and processing module, a power consumption prediction and analysis module, a capacitor demand calculation module, and a capacitor allocation and management module:

[0008] The data collection and processing module is used to collect historical power consumption data and the corresponding time points, divide several time periods, time lengths, and the corresponding total power consumption according to the historical power consumption data, time sequence, and time points, and store them as a historical data set;

[0009] The power consumption prediction and analysis module is used to obtain the current time point, input the current time point into the historical data set, find the time period, time length, and the corresponding total power consumption that match the current time point, extract the time length starting from the current time period and the corresponding total power consumption, and output it as a prediction data set;

[0010] The capacitance demand calculation module is used to input the capacitance parameter data of a single capacitor in the capacitor bank, calculate the energy of a single capacitor, convert the total power consumption in the prediction data set into the total capacitance energy according to the energy of a single capacitor, and calculate and store the number of capacitors according to the total capacitance energy;

[0011] The capacitance allocation and management module is used to establish an allocation decision according to the prediction data set and the number of capacitors;

[0012] The power consumption prediction and analysis module includes a time synchronization unit, a matching search unit, and a prediction output unit:

[0013] The time synchronization unit is used to obtain the current time point and output it to the historical data set;

[0014] The matching search unit is used to find the time period, time length, and the corresponding total power consumption that match the current time point according to the time periods in the historical data set;

[0015] The prediction output unit in the power consumption prediction and analysis module is used to extract the time length starting from the found time period and the corresponding total power consumption according to the found time period, time length, and the corresponding total power consumption, and output it as a prediction data set;

[0016] The capacitance demand calculation module includes a parameter input unit, an energy calculation unit, a demand conversion unit, and a quantity calculation unit:

[0017] The parameter input unit is used to input the capacitance parameter data of a single capacitor in the capacitor bank, and the capacitance parameter data includes capacitance and the capacitor discharge voltage range;

[0018] The energy calculation unit is used to calculate the energy released by a single capacitor within the discharge voltage range according to the capacitance parameter data;

[0019] The demand conversion unit is used to convert the total power consumption in the prediction data set into the total capacitance energy according to the energy released by a single capacitor within the discharge voltage range, and the mathematical expression for the conversion is:

[0020]

[0021] Among them, is the total energy of the capacitor, is the total power consumption in the prediction dataset;

[0022] The quantity calculation unit is used to calculate the number of capacitors according to the total energy of the capacitor and store the calculated number of capacitors.

[0023] Preferably, the data collection and processing module includes a data source unit, a time processing unit, and a data analysis unit:

[0024] The data source unit is used to collect historical power consumption data and the corresponding time points from the historical database;

[0025] The time processing unit is used to divide time periods in chronological order according to the time points and calculate the corresponding time lengths;

[0026] The data analysis unit is used to calculate the total power consumption corresponding to each time period according to the historical power consumption data and establish a first correspondence relationship among the time period, the time length, and the total power consumption. The first correspondence relationship is the historical dataset.

[0027] Preferably, the mathematical expression for calculating the energy released by a single capacitor within the discharge voltage range is:

[0028]

[0029] Among them, is the energy of a single capacitor, is the capacitance, is the maximum voltage within the capacitor discharge voltage range, is the minimum voltage within the capacitor discharge voltage range.

[0030] Preferably, the mathematical expression for calculating the number of capacitors is:

[0031]

[0032] Among them, is the number of capacitors.

[0033] Preferably, the capacitor allocation and management module includes a strategy formulation unit and an execution control unit:

[0034] The strategy formulation unit is used to insert the number of capacitors onto the corresponding total power consumption according to the prediction dataset and establish a second correspondence relationship between the number of capacitors and the time period. The second correspondence relationship is the capacitor allocation table.

[0035] Preferably, the execution control unit in the capacitance allocation management module is used to establish an allocation decision, and the allocation decision is as follows:

[0036] Deploy and control the switch states of individual capacitors according to the capacitance allocation table. If the capacitance allocation table shows that a certain number of individual capacitors need to be released during the current time period, then turn on the corresponding number of individual capacitors. After the release of the individual capacitors in the current time period is completed, release a certain number of individual capacitors in the next time period according to the capacitance allocation table, and at the same time charge the individual capacitors that have been released in the previous time period.

[0037] An uninterruptible power supply method for capacitive energy storage includes the following steps:

[0038] Step S1: Collect historical power consumption data and corresponding time points, divide several time periods according to the historical power consumption data, time sequence and time points, calculate the time length and the corresponding total power consumption for each time period, and store them as a historical data set.

[0039] Step S2: Obtain the current time point and input it into the historical data set, search for the matching time period, time length and the corresponding total power consumption, extract the time length starting from the current time period and the corresponding total power consumption, output it as a prediction data set, input the capacitance capacity and the capacitance discharge voltage range of individual capacitors in the capacitor bank, calculate the energy of an individual capacitor, convert the total power consumption in the prediction data set into the total capacitive energy according to the energy of an individual capacitor, and calculate and store the number of capacitors according to the total capacitive energy.

[0040] Step S3: Establish an allocation decision according to the prediction data set and the number of capacitors, and control the switch states of individual capacitors according to the allocation decision.

[0041] Advantages of the present invention: Through data collection and analysis, the present invention accurately predicts the power consumption demand, calculates the required capacitance accordingly, formulates an intelligent capacitance allocation strategy based on the prediction results, flexibly controls the switch states of capacitors, ensures stable power supply in each time period, realizes uninterruptible power supply by accurately allocating capacitance resources, improves energy utilization efficiency, and reduces operating costs at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the basic process of an uninterruptible power supply system for capacitive energy storage provided by an embodiment of the present invention;

[0043] Figure 2 It is a flowchart of the steps of an uninterruptible power supply method for capacitive energy storage provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0044] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following provides a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments.

[0045] Example 1. Referring to Figure 1 , a capacitor energy storage uninterruptible power supply system is provided, including a data collection and processing module, a power consumption prediction and analysis module, a capacitor demand calculation module, and a capacitor allocation and management module:

[0046] The data collection and processing module is used to collect historical power consumption data and the corresponding time points, divide several time periods, time lengths, and the corresponding total power consumption according to the historical power consumption data, time sequence, and time points, and store them as a historical data set.

[0047] The power consumption prediction and analysis module is used to obtain the current time point, input the current time point into the historical data set, find the time period, time length, and the corresponding total power consumption that match the current time point, extract the time length starting from the current time period and the corresponding total power consumption, and output it as a prediction data set.

[0048] The capacitor demand calculation module is used to input the capacitance parameter data of a single capacitor in the capacitor bank, calculate the energy of a single capacitor, convert the total power consumption in the prediction data set into the total capacitor energy according to the energy of a single capacitor, and calculate and store the number of capacitors according to the total capacitor energy.

[0049] The capacitor allocation and management module is used to establish an allocation decision according to the prediction data set and the number of capacitors.

[0050] The data collection and processing module includes a data source unit, a time processing unit, and a data analysis unit:

[0051] The data source unit is used to collect historical power consumption data and the corresponding time points from the historical database.

[0052] The data source unit accurately extracts historical power consumption data and its corresponding time points from the historical database, ensuring the integrity and accuracy of the data, laying a solid foundation for the entire data processing process, and making subsequent analysis more reliable.

[0053] The time processing unit is used to divide time periods according to the time points in chronological order and calculate the corresponding time lengths.

[0054] After receiving the time point information, the time processing unit divides the data into multiple time periods in chronological order and accurately calculates the time length of each time period, which not only improves the efficiency of data processing, but also makes the power consumption data more finely divided in the time dimension, providing convenience for subsequent analysis.

[0055] The data analysis unit is used to calculate the total power consumption corresponding to each time period according to the historical power consumption data, and establish a first correspondence relationship among the time period, the time length, and the total power consumption. The first correspondence relationship is the historical data set.

[0056] Based on the historical power consumption data, through complex calculations and analyses, the data analysis unit obtained the total power consumption corresponding to each time period and established a first correspondence relationship among the time period, the time length, and the total power consumption, that is, the historical data set, which not only reflects the change trend of historical power consumption, but also provides an important reference basis for power consumption prediction and capacitance allocation.

[0057] The data collection and processing module efficiently integrates the historical power consumption data and its time information, constructs a detailed and accurate historical data set through refined time period division and power consumption statistics, not only ensures the comprehensiveness and timeliness of the data, but also provides solid data support for subsequent power consumption prediction and capacitance allocation.

[0058] The power consumption prediction and analysis module includes a time synchronization unit, a matching and searching unit, and a prediction output unit:

[0059] The time synchronization unit is used to obtain the current time point and output it to the historical data set.

[0060] The time synchronization unit is responsible for capturing the current time point in real time and accurately mapping it to the historical data set, ensuring that the prediction and analysis process can be carried out based on the latest time information, thereby improving the timeliness and accuracy of the prediction results.

[0061] The matching and searching unit is used to search for the time period, the time length, and the corresponding total power consumption that match the current time point according to the time period in the historical data set.

[0062] The matching and searching unit is responsible for capturing the current time point in real time and accurately mapping it to the historical data set, ensuring that the prediction and analysis process can be carried out based on the latest time information, thereby improving the timeliness and accuracy of the prediction results.

[0063] In the power consumption prediction and analysis module, the prediction output unit is used to extract the time length starting from the found time period and the corresponding total power consumption according to the found time period, the time length, and the corresponding total power consumption, and output it as the prediction data set.

[0064] After receiving the data provided by the matching search unit, the prediction output unit further extracts the time length starting from the matching time period and the corresponding total power consumption, and organizes them into a prediction data set for output. This not only intuitively displays the power consumption prediction results for a future period of time, but also provides an important reference basis for capacitor allocation decisions. Through the work of the prediction output unit, preparations can be made in advance to ensure the continuity and stability of power supply.

[0065] Through the matching search unit and the prediction output unit, the power consumption prediction analysis module realizes the accurate prediction of future power consumption demands. This not only improves the timeliness of the prediction, but also ensures the accuracy of the prediction results, providing crucial data support for capacitor allocation and uninterrupted power supply.

[0066] The capacitor demand calculation module includes a parameter input unit, an energy calculation unit, a demand conversion unit, and a quantity calculation unit:

[0067] The parameter input unit is used to input the capacitor parameter data of a single capacitor in the capacitor bank. The capacitor parameter data includes the capacitance and the capacitor discharge voltage range.

[0068] The parameter input unit is responsible for receiving and entering the key parameter data of a single capacitor in the capacitor bank, including the capacitance and the discharge voltage range, ensuring the accuracy and integrity of the data for subsequent calculations and laying a solid foundation for the entire calculation process.

[0069] The energy calculation unit is used to calculate the energy released by a single capacitor within the discharge voltage range according to the capacitor parameter data.

[0070] The mathematical expression for calculating the energy released by a single capacitor within the discharge voltage range is:

[0071]

[0072] Among them, is the energy of a single capacitor, is the capacitance, is the maximum voltage within the capacitor discharge voltage range, is the minimum voltage within the capacitor discharge voltage range.

[0073] Based on the data provided by the parameter input unit, the energy calculation unit accurately calculates the energy that a single capacitor can release within the specified discharge voltage range using physical principles, providing key data support for subsequent demand conversion and making the calculation of capacitor demand more scientific and accurate.

[0074] The demand conversion unit is used to convert the total power consumption in the prediction data set into the total capacitor energy according to the energy released by a single capacitor within the discharge voltage range. The mathematical expression for the conversion is:

[0075]

[0076] Among them, is the total energy of the capacitor, is the total electricity consumption in the prediction dataset.

[0077] The total electricity consumption in the prediction dataset is in kilowatt-hours, while the total energy of the capacitor is in joules. Therefore, the total electricity consumption in the prediction dataset is converted from kilowatt-hours to joules.

[0078] The demand conversion unit converts the total electricity consumption in the prediction dataset and the energy of a single capacitor, converting the electricity consumption into the required total energy of the capacitor. It not only realizes the effective conversion between electricity consumption and capacitor demand but also provides a direct basis for the subsequent calculation of the number of capacitors.

[0079] The quantity calculation unit is used to calculate the number of capacitors based on the total energy of the capacitor and store the calculated number of capacitors.

[0080] The mathematical expression for calculating the number of capacitors is:

[0081]

[0082] Among them, is the number of capacitors.

[0083] The quantity calculation unit calculates the number of capacitors required to meet the demand based on the total energy of the capacitor obtained by the demand conversion unit and in combination with the energy capacity of a single capacitor in the capacitor bank, and stores the calculation result. It not only completes the final determination of the capacitor demand but also provides clear guidance for capacitor allocation and deployment.

[0084] The capacitor demand calculation module realizes the accurate calculation from electricity consumption prediction to capacitor demand. It not only improves the rationality of capacitor configuration but also ensures the stability and reliability during uninterrupted power supply, providing strong support for the intelligent management of power supply.

[0085] The capacitor allocation and management module includes a strategy formulation unit and an execution control unit:

[0086] The strategy formulation unit is used to insert the number of capacitors onto the corresponding total electricity consumption according to the prediction dataset, establishing a second correspondence between the number of capacitors and the time period, and the second correspondence is the capacitor allocation table.

[0087] Based on the predicted dataset and the actual demand, the strategy formulation unit accurately matches the number of capacitors to the total power consumption corresponding to each time period, establishing a second correspondence between the number of capacitors and the time period, that is, the capacitor allocation table. This not only fully considers the optimal allocation of power demand and capacitor resources, but also ensures the rationality and executability of the allocation decision, providing strong support for subsequent capacitor allocation work.

[0088] In the capacitor allocation management module, the execution control unit is used to establish an allocation decision, and the allocation decision is as follows:

[0089] Deploy and control the switch state of individual capacitors according to the capacitor allocation table. If the capacitor allocation table shows that a certain number of individual capacitors need to be released in the current time period, then turn on the corresponding number of individual capacitors. After the individual capacitors in the current time period are released, release a certain number of individual capacitors in the next time period according to the capacitor allocation table, and at the same time charge the individual capacitors that have been released in the previous time period.

[0090] The execution control unit is the executive mechanism of the capacitor allocation management module. According to the capacitor allocation table generated by the strategy formulation unit, it accurately controls the switch state of capacitors in each time period. When the capacitor allocation table indicates that a certain number of capacitors need to be released in the current time period, the execution control unit responds quickly and turns on the corresponding number of capacitors to meet the power demand. After the capacitors in the current time period are released, it automatically switches to the capacitor allocation strategy for the next time period according to the allocation table and arranges the charging work of the released capacitors. This not only realizes the dynamic allocation and recycling of capacitor resources, but also ensures the continuity and stability of power supply, demonstrating a high level of intelligence and automation, and avoiding the problem that the current capacitors are released but the subsequent capacitors cannot be replenished immediately.

[0091] Through the strategy formulation unit and the execution control unit, the capacitor allocation management module realizes the precise allocation and efficient utilization of capacitor resources, ensures the continuity and stability of power supply, and improves the overall operation efficiency.

[0092] Through the data collection and processing module, historical power consumption data and their corresponding time points are comprehensively collected and sorted, forming a detailed historical data set. This not only provides a solid foundation for subsequent analysis but also makes the data analysis more meticulous and accurate through the division of time periods and the calculation of the total power consumption. The power consumption prediction and analysis module uses the matching of the current time point with the historical data set to quickly and accurately predict the power consumption demand in the future for a period of time, which helps the system make preparations in advance and avoid power outages or unstable power supply caused by insufficient power supply. The capacitance demand calculation module converts the predicted power consumption into the total capacitance energy demand based on the capacitance parameter data of a single capacitor and further calculates the number of capacitors required. This process ensures the reasonable allocation and utilization of capacitance resources and avoids waste or shortage of resources. The capacitance allocation and management module formulates a detailed capacitance allocation table according to the prediction results and capacitance demand and deploys and controls the switching states of individual capacitors accordingly. The flexible allocation mechanism enables the uninterruptible power supply system with capacitance energy storage to quickly adjust the allocation of capacitance resources according to different power consumption demands, ensuring the continuity and stability of power supply. Through the collaborative work of the above-mentioned modules, the uninterruptible power supply system with capacitance energy storage realizes the intelligent management of power supply. When predicting changes in power demand, it automatically adjusts the configuration and use of capacitance resources, thereby ensuring stable and reliable power supply to users in any situation. This uninterruptible power supply capacity is of great significance for ensuring the normal operation of key equipment and improving production efficiency.

[0093] Since the uninterruptible power supply system with capacitance energy storage can accurately predict and allocate capacitance resources, it avoids unnecessary energy waste, thus contributing to the goal of energy conservation and emission reduction. At the same time, by optimizing the configuration and use of capacitance resources, it can also reduce the operating costs of enterprises and improve economic benefits.

[0094] Embodiment 2, referring to Figure 2 , provides an uninterruptible power supply method with capacitance energy storage, including the following steps:

[0095] Step S1: Collect historical power consumption data and corresponding time points, divide several time periods according to the historical power consumption data, time sequence, and time points, calculate the time length and the corresponding total power consumption for each time period, and store them as a historical data set.

[0096] By collecting historical power consumption data and corresponding time points in Step S1 and using the time sequence to divide time periods, the time length and the corresponding total power consumption for each time period are calculated and stored, forming a detailed historical data set. This not only provides a solid data foundation for subsequent power consumption prediction but also enables a more accurate understanding of the variation law of power demand, providing strong support for formulating a scientific and reasonable capacitance allocation strategy.

[0097] Step S2: Obtain the current time point and input it into the historical dataset. Search for the matching time period, time length, and the corresponding total power consumption. Extract the time length starting from the current time period and the corresponding total power consumption, and output them as the prediction dataset. Input the capacitance of a single capacitor in the capacitor bank and the range of capacitor discharge voltages, calculate the energy of a single capacitor, convert the total power consumption in the prediction dataset into the total capacitor energy based on the energy of a single capacitor, and calculate and store the number of capacitors according to the total capacitor energy.

[0098] After obtaining the current time point in Step S2, through an efficient matching and searching mechanism, the power consumption prediction information closely related to the current time point is extracted from the historical dataset, and based on this, the total capacitor energy and the number of capacitors required are calculated. This not only realizes the accurate docking of power consumption prediction and capacitor demand, but also converts the abstract power consumption into specific capacitor configuration requirements by calculating the energy of a single capacitor, providing a clear direction for the precise allocation of capacitors.

[0099] Step S3: Establish a deployment decision based on the prediction dataset and the number of capacitors, and control the switch state of a single capacitor according to the deployment decision.

[0100] Based on the prediction dataset and the calculated number of capacitors in Step S3, a detailed deployment decision is formulated, and the switch state of a single capacitor is precisely controlled through the execution control unit. This not only ensures the reasonable allocation and efficient utilization of capacitor resources, but also realizes the continuity and stability of power supply, effectively avoiding power interruption problems caused by improper capacitor configuration. At the same time, it also reflects the high level of intelligence and automation of the system, which can flexibly adjust the capacitor deployment strategy according to the actual situation to adapt to the changing power demand.

[0101] The uninterruptible power supply method using capacitor energy storage realizes the intelligent management and uninterruptible guarantee of power supply. It not only improves the reliability and stability of power supply, but also realizes the efficient utilization and conservation of energy through the precise allocation of capacitor resources. In addition, it has strong flexibility and adaptability, and can be dynamically adjusted and optimized according to the actual situation, providing strong support for the stable operation of modern power systems.

[0102] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media that contain computer-usable program code. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk. These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device, and the instruction device implements the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 specified in one block or multiple blocks.

[0103] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. An uninterruptible power supply system with capacitor energy storage, characterized in that: It includes data collection and processing module, power consumption forecasting and analysis module, capacitor demand calculation module and capacitor allocation management module: The data collection and processing module is used to collect historical power consumption data and time points corresponding to the historical power consumption data, divide the historical power consumption data, time sequence and time points into several time periods, time lengths and corresponding total power consumption, and store them as historical data sets; The power consumption prediction and analysis module is used to obtain the current time point, input the current time point into the historical data set, find the time period, time length and corresponding total power consumption that match the current time point, extract the time length and corresponding total power consumption starting from the current time period, and output it as a prediction data set; The capacitance demand calculation module is used to input capacitance parameter data of a single capacitor in the capacitance group, calculate the energy of the single capacitor, convert the total power consumption in the prediction data set into the total capacitance energy according to the energy of the single capacitor, calculate the number of capacitors according to the total capacitance energy and store it; The capacitor allocation management module is used to establish an allocation decision based on the predicted data set and the number of capacitors; The power consumption prediction and analysis module includes a time synchronization unit, a matching search unit and a prediction output unit: The time synchronization unit is used to obtain the current time point and output it to the historical data set; The matching search unit is used to search for a time period, a time length and a corresponding total amount of power consumption that matches the current time point according to the time period in the historical data set; The prediction output unit in the power prediction and analysis module is used to extract the time length starting from the found time period and the corresponding total power consumption according to the found time period, time length and the corresponding total power consumption, and output it as a prediction data set; The capacitance demand calculation module includes a parameter input unit, an energy calculation unit, a demand conversion unit and a quantity calculation unit: The parameter input unit is used to input capacitance parameter data of a single capacitor in the capacitance group, wherein the capacitance parameter data includes capacitance capacity and capacitance discharge voltage range; The energy calculation unit is used to calculate the energy released by a single capacitor within a discharge voltage range according to the capacitance parameter data; The demand conversion unit is used to convert the total power consumption in the prediction data set into the total capacitor energy according to the energy released by a single capacitor within the discharge voltage range. The mathematical expression of the conversion is: in, is the total energy of the capacitor, is the total amount of electricity consumption in the prediction data set; The quantity calculation unit is used to calculate the number of capacitors according to the total energy of the capacitors, and store the calculated number of capacitors.

2. The uninterruptible power supply system with capacitor energy storage as claimed in claim 1, characterized in that: The data collection and processing module includes a data source unit, a time processing unit and a data analysis unit: The data source unit is used to collect historical power consumption data and time points corresponding to the historical power consumption data from a historical database; The time processing unit is used to divide the time periods according to the time points and in chronological order, and calculate the corresponding time lengths; The data analysis unit is used to calculate the total power consumption corresponding to each time period based on the historical power consumption data, and establish a first corresponding relationship between the time period, the time length and the total power consumption, wherein the first corresponding relationship is a historical data set.

3. The uninterruptible power supply system with capacitor energy storage as claimed in claim 2, characterized in that: The mathematical expression for calculating the energy released by the single capacitor within the discharge voltage range is: in, is the energy of a single capacitor, is the capacitance, is the maximum voltage within the capacitor discharge voltage range, It is the minimum voltage within the capacitor discharge voltage range.

4. The uninterruptible power supply system with capacitor energy storage as claimed in claim 3, characterized in that: The mathematical expression for calculating the number of capacitors is: in, is the number of capacitors.

5. The uninterruptible power supply system with capacitor energy storage as claimed in claim 4, characterized in that: The capacitance allocation management module includes a strategy formulation unit and an execution control unit: The strategy formulation unit is used to insert the number of capacitors into the corresponding total power consumption according to the predicted data set, and establish a second corresponding relationship between the number of capacitors and the time period, wherein the second corresponding relationship is a capacitor allocation table.

6. The uninterruptible power supply system with capacitor energy storage as claimed in claim 5, characterized in that: The execution control unit in the capacitor allocation management module is used to establish an allocation decision, and the allocation decision is: Deploy and control the switching state of a single capacitor according to the capacitor allocation table. If the capacitor allocation table shows that a certain number of single capacitors need to be released in the current time period, turn on the single capacitors of the corresponding number of capacitors. After the single capacitors in the current time period are released, release a certain number of single capacitors in the next time period according to the capacitor allocation table, and charge the single capacitors that have been released in the previous time period.

7. A capacitor energy storage uninterruptible power supply method, applied to a capacitor energy storage uninterruptible power supply system as claimed in any one of claims 1 to 6, characterized in that: The following steps are involved: Step S1, collecting historical power consumption data and corresponding time points, dividing several time periods according to the historical power consumption data, time sequence and time points, calculating the time length and the corresponding total power consumption according to the time period, and storing them as a historical data set; Step S2, obtaining the current time point and inputting it into the historical data set, searching for the time period, time length and corresponding total power consumption that match the current time point, extracting the time length and corresponding total power consumption starting from the current time period, outputting it as a predicted data set, inputting the capacitance and capacitor discharge voltage range of a single capacitor in the capacitor group, calculating the energy of a single capacitor, converting the total power consumption in the predicted data set into the total capacitor energy according to the energy of the single capacitor, calculating the number of capacitors according to the total capacitor energy and storing it; Step S3, establishing a deployment decision according to the predicted data set and the number of capacitors, and controlling the switching state of a single capacitor according to the deployment decision.

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