Capacitive energy storage uninterruptible power supply system and method

Abstract

The invention discloses an uninterruptible power supply system and method for capacitor energy storage, and relates to the technical field of uninterruptible power supply. Historical electricity consumption data and time points corresponding to the historical electricity consumption data are collected and stored as a historical data set, a current time point is obtained, the time duration from the current time period and the corresponding total electricity consumption are extracted, and the total electricity consumption is calculated; the method comprises the steps of collecting and analyzing data, outputting a prediction data set, calculating the energy of a single capacitor, calculating the number of capacitors according to the total energy of the capacitors, storing the number of the capacitors, and establishing a deployment decision according to a preset data set and the number of the capacitors, accurately predicting the electricity consumption demand through data collection and analysis, calculating the needed capacitance according to the electricity consumption demand, and intelligently formulating a capacitor deployment strategy according to a prediction result. The switch state of the capacitor is flexibly controlled, stable power supply in each time period is ensured, uninterrupted power supply is realized through accurate allocation of capacitor resources, the energy utilization efficiency is improved, and the operation cost is reduced 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 for 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 economy and society. However, the volatility and unpredictability of electricity demand have brought huge challenges to the stable operation of the power system. Especially in the face of sudden increases in power load or power grid failures, how to ensure the continuity and stability of power supply has become an urgent problem to be solved. Capacitor energy storage technology, as an important energy storage method, has gradually been widely used in power systems because of its advantages such as fast response speed, high power density and long cycle life.

[0003] At present, a Chinese patent with application number CN202210964778.9 discloses an uninterruptible power supply method and a power supply system, including the following steps performed by each control unit: obtaining the mains power supply status in real time; when the mains power supply is normal, enabling the first power supply branch to supply power to the power-consuming equipment; when the mains power supply is abnormal, controlling the inverter unit to convert the DC power of the DC energy storage unit into AC power 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 abnormal time of the mains power supply increases and returns to the initial value when the mains power supply returns to normal. By sharing one DC energy storage unit with multiple inverter units, the use cost of the uninterruptible power supply can be greatly reduced while satisfying the reliable power supply needs of multiple users at the same time.

[0004] This invention makes it difficult to predict and allocate energy storage equipment in advance based on historical electricity demand, making it difficult to improve energy utilization efficiency and increasing 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 equipment in advance according to historical electricity demand, which makes it difficult to improve energy utilization efficiency and increases operating costs.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] An uninterruptible power supply system for 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 management module:

[0008] 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;

[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 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;

[0010] 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;

[0011] The capacitor allocation management module is used to establish an allocation decision according to a preset data set and the number of capacitors.

[0012] Preferably, the data collection and processing module includes a data source unit, a time processing unit and a data analysis unit:

[0013] 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;

[0014] 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;

[0015] 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.

[0016] Preferably, the power consumption prediction and analysis module includes a time synchronization unit, a matching search unit and a prediction output unit:

[0017] The time synchronization unit is used to obtain the current time point and output it to the historical data set;

[0018] 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.

[0019] Preferably, the prediction output unit in the power forecasting 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.

[0020] Preferably, the capacitance demand calculation module includes a parameter input unit, an energy calculation unit, a demand conversion unit and a quantity calculation unit:

[0021] 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;

[0022] 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;

[0023] 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:

[0024] E predicted-J =E predicted-kWh ×3.6e6

[0025] Among them, E predicted-J is the total energy of the capacitor, E predicted-kWh is the total amount of electricity consumption in the prediction data set;

[0026] 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.

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

[0028]

[0029] Among them, E released is the energy of a single capacitor, C is the capacitance, V max is the maximum voltage within the capacitor discharge voltage range, V min It is the minimum voltage within the capacitor discharge voltage range.

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

[0031]

[0032] Where N is the number of capacitors.

[0033] Preferably, the capacitance allocation 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 into the corresponding total power consumption according to the preset 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.

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

[0036] 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.

[0037] A method for uninterruptible power supply using capacitor energy storage comprises the following steps:

[0038] 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;

[0039] 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;

[0040] Step S3, establishing a deployment decision according to the preset data set and the number of capacitors, and controlling the switching state of a single capacitor according to the deployment decision.

[0041] Beneficial effects of the present invention: The present invention accurately predicts electricity demand through data collection and analysis, and calculates the required capacitance accordingly. According to the prediction results, the capacitor allocation strategy is intelligently formulated, and the capacitor switch state is flexibly controlled to ensure stable power supply in various time periods. By accurately allocating capacitor resources, uninterrupted power supply is achieved, energy utilization efficiency is improved, and operating costs are reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A basic flow chart of an uninterruptible power supply system with capacitor energy storage provided by one embodiment of the present invention;

[0043] Figure 2 A flowchart of the steps of an uninterruptible power supply method using capacitor energy storage is provided for one embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0045] Embodiment 1, refer to Figure 1 , provides an uninterruptible power supply system with capacitor energy storage, including a data collection and processing module, a power consumption prediction and analysis module, a capacitor demand calculation module and a capacitor allocation management module:

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

[0047] The electricity 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 electricity consumption that match the current time point, extract the time length and corresponding total electricity consumption starting from the current time period, 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 group, calculate the energy of a single capacitor, convert the total power consumption in the predicted data set into the total capacitor energy based on the energy of the single capacitor, calculate the number of capacitors based on the total capacitor energy and store it.

[0049] The capacitor allocation management module is used to establish allocation decisions based on a preset 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 time points corresponding to the historical power consumption data from a historical database.

[0052] The data source unit accurately extracts historical electricity 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 the time periods according to the time points and 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 length of each time period. This not only improves the efficiency of data processing, but also makes the electricity 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 amount of electricity consumption corresponding to each time period based on the historical electricity consumption data, and establish a first corresponding relationship between the time period, the time length and the total amount of electricity consumption, wherein the first corresponding relationship is a historical data set.

[0056] Based on the historical electricity consumption data, the data analysis unit obtains the total electricity consumption corresponding to each time period through complex calculations and analysis, and establishes the first correspondence between the time period, time length and total electricity consumption, that is, the historical data set, which not only reflects the changing trend of historical electricity consumption, but also provides an important reference for electricity consumption forecasting and capacitor allocation.

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

[0058] The power consumption prediction and analysis module includes a time synchronization unit, a matching search 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 predictive 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 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.

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

[0063] The prediction output unit in the power forecast 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.

[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 it into a prediction data set output. It not only intuitively displays the power consumption forecast results for a period of time in the future, but also provides an important reference for capacitor allocation decisions. Through the work of the prediction output unit, we can prepare in advance to ensure the continuity and stability of the power supply.

[0065] The electricity consumption forecasting and analysis module achieves accurate forecasting of future electricity consumption demand by matching the search unit and the forecasting output unit. It not only improves the timeliness of the forecast, but also ensures the accuracy of the forecast results, providing critical data support for capacitor allocation and uninterrupted power supply.

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

[0067] 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.

[0068] The parameter input unit is responsible for receiving and entering the key parameter data of a single capacitor in the capacitor group, including the capacitance and discharge voltage range, ensuring the accuracy and completeness of the data used 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 a discharge voltage range according to the capacitance 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, E released is the energy of a single capacitor, C is the capacitance, V max is the maximum voltage within the capacitor discharge voltage range, V min It 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 uses the principles of physics to accurately calculate the energy that a single capacitor can release within a specified discharge voltage range, providing key data support for subsequent demand conversion, 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 of the conversion is:

[0075] E predicted-J =E predicted-kWh ×3.6e6

[0076] Among them, E predicted-J is the total energy of the capacitor, E predicted-kWh is the total amount of electricity consumption in the forecast dataset.

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

[0078] The demand conversion unit predicts the total power consumption in the data set and the energy of a single capacitor, and converts the power consumption into the required total capacitor energy. This not only achieves the effective conversion between power 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 according to the total energy of the capacitors, and store the calculated number of capacitors.

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

[0081]

[0082] Where N is the number of capacitors.

[0083] The quantity calculation unit calculates the number of capacitors required to meet the demand based on the total capacitor energy obtained by the demand conversion unit and the energy capacity of a single capacitor in the capacitor group, and stores the calculation results. This 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 power consumption forecast to capacitor demand, which 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 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 into the corresponding total power consumption according to the preset 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.

[0087] Based on the preset data set and actual needs, the strategy formulation unit accurately matches the number of capacitors to the total power consumption corresponding to each time period, and establishes a second corresponding relationship between the number of capacitors and the time period, namely the capacitor allocation table. It not only fully considers the power demand and the optimal allocation of capacitor resources, but also ensures the rationality and feasibility of the allocation decision, providing strong support for the subsequent capacitor allocation work.

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

[0089] 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.

[0090] The execution control unit is the executive body of the capacitor allocation management module. It accurately controls the switching state of the capacitor in each time period according to the capacitor allocation table generated by the strategy formulation unit. When the capacitor allocation table indicates that a certain amount 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 of the released capacitors. It not only realizes the dynamic allocation and recycling of capacitor resources, but also ensures the continuity and stability of power supply, showing 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] The capacitor allocation management module realizes the precise allocation and efficient utilization of capacitor resources through the strategy formulation unit and the execution control unit, ensures the continuity and stability of power supply, and improves the overall operating efficiency.

[0092] Through the data collection and processing module, the historical power consumption data and its corresponding time points are comprehensively collected and sorted to form a detailed historical data set, which not only provides a solid foundation for subsequent analysis, but also makes the data analysis more detailed and accurate through the division of time periods and the calculation of the total power consumption. The power consumption forecasting 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, which helps the system to prepare in advance and avoid power outages or unstable power supply caused by insufficient power supply. The capacitor demand calculation module converts the predicted power consumption into the total energy demand of the capacitor 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 capacitor resources and avoids waste or shortage of resources. The capacitor allocation management module formulates a detailed capacitor allocation table based on the prediction results and capacitor demand, and deploys and controls the switch state of a single capacitor accordingly. The flexible allocation mechanism enables the uninterruptible power supply system of capacitor energy storage to quickly adjust the allocation of capacitor resources according to different power demand, ensuring the continuity and stability of power supply. Through the coordinated work of the above modules, the uninterruptible power supply system of capacitor energy storage realizes the intelligent management of power supply. When the change of power demand is predicted, the configuration and use of capacitor resources are automatically adjusted to ensure that users can be provided with stable and reliable power supply under any circumstances. This uninterruptible power supply capability is of great significance to ensuring the normal operation of key equipment and improving production efficiency.

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

[0094] Example 2, refer to Figure 2 , provides an uninterruptible power supply method for capacitor energy storage, comprising the following steps:

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

[0096] Step S1 collects historical power consumption data and corresponding time points, divides the time periods into time periods in chronological order, calculates and stores the length of each time period and the corresponding total power consumption, and forms a detailed historical data set. It not only provides a solid data foundation for subsequent power consumption forecasts, but also enables a more accurate understanding of the changing patterns of power demand, providing strong support for the formulation of scientific and reasonable capacitor allocation strategies.

[0097] Step S2, obtain the current time point and input it 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 starting from the current time period and the corresponding total power consumption, output it as a predicted data set, input the capacitance and capacitor discharge voltage range of a single capacitor in the capacitor group, calculate the energy of a single capacitor, convert the total power consumption in the predicted data set into the total capacitor energy according to the energy of the single capacitor, calculate the number of capacitors according to the total capacitor energy and store it.

[0098] After obtaining the current time point, step S2 extracts the power consumption forecast information closely related to the current time point from the historical data set through an efficient matching search mechanism, and calculates the required total capacitor energy and number of capacitors based on this. It not only achieves the precise connection between power consumption forecast 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, establishing a deployment decision according to the preset data set and the number of capacitors, and controlling the switching state of a single capacitor according to the deployment decision.

[0100] Step S3 makes a detailed allocation decision based on the preset data set and the calculated number of capacitors, and accurately controls the switching state of a single capacitor by executing the control unit, which not only ensures the rational allocation and efficient utilization of capacitor resources, but also achieves the continuity and stability of power supply, effectively avoiding power interruptions caused by improper capacitor configuration. At the same time, it also reflects the high level of intelligence and automation of the system, and can flexibly adjust the capacitor allocation strategy according to actual conditions to adapt to changing power demands.

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

[0102] It should be understood by those skilled in the art that the embodiments of the present invention can be provided as methods, systems or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. 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 (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0103] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in 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 according to a preset data set and the 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 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.

4. The uninterruptible power supply system with capacitor energy storage as claimed in claim 3, characterized in that: The prediction output unit in the power prediction and analysis module is used to extract the time length and the corresponding total power consumption starting from the found time period according to the found time period, time length and the corresponding total power consumption, and output it as a prediction data set.

5. The uninterruptible power supply system with capacitor energy storage as claimed in claim 4, characterized in that: 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: E predicted-J =E predicted-kWh ×3.6e6 Among them, E predicted-J is the total energy of the capacitor, E predicted-kWh 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.

6. The uninterruptible power supply system with capacitor energy storage as claimed in claim 5, characterized in that: The mathematical expression for calculating the energy released by the single capacitor within the discharge voltage range is: Among them, E released is the energy of a single capacitor, C is the capacitance, V max is the maximum voltage within the capacitor discharge voltage range, V min It is the minimum voltage within the capacitor discharge voltage range.

7. The uninterruptible power supply system with capacitor energy storage as claimed in claim 5, characterized in that: The mathematical expression for calculating the number of capacitors is: Where N is the number of capacitors.

8. The uninterruptible power supply system with capacitor energy storage as claimed in claim 7, 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 preset 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.

9. The uninterruptible power supply system with capacitor energy storage as claimed in claim 8, 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.

10. An uninterruptible power supply method using capacitor energy storage, 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 preset 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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