Electric quantity control method based on hybrid supercapacitor and related equipment

Abstract

The invention discloses an electric quantity control method based on a hybrid supercapacitor and related equipment, and relates to the technical field of capacitor electric quantity control, and the method comprises the steps: obtaining historical power load fluctuation data of a power grid, and obtaining a historical load supplementary value; acquiring city development data corresponding to the power grid to obtain predicted power consumption data; obtaining future load supplementary data of the power grid in combination with the historical load supplementary value and the predicted power consumption data; power generation equipment data of the new energy power generation equipment and future weather data of a region where the new energy power generation equipment is located are obtained, and future power generation data are obtained; obtaining an electric quantity supplementary diagram according to the future load supplementary data and the future power generation data; and obtaining current electric quantity information of the hybrid supercapacitor, and regulating and controlling the electric quantity of the hybrid supercapacitor. The hybrid supercapacitor has the advantages that the dependence of the hybrid supercapacitor on human resources is reduced, the flexibility of the hybrid supercapacitor in emergency is improved, and the service life of the hybrid supercapacitor is prolonged.

Description

Technical Field

[0001] The present application relates to the technical field of capacitor power control, and in particular to a power control method based on a hybrid supercapacitor and related equipment. Background Art

[0002] Hybrid supercapacitors are energy storage devices that combine battery-type materials and supercapacitor materials in one system. They store electrical energy through electrochemical reactions and physical processes, have high energy density and power density, can be quickly charged and discharged in a short time, and have a long cycle life.

[0003] Hybrid supercapacitors have a wide range of application scenarios, especially in the field of renewable energy power generation, for energy storage and regulation in power generation systems such as solar power generation and wind power generation.

[0004] In the prior art, when hybrid supercapacitors are used to regulate the energy in a new energy power generation system, they are generally pre-set according to the existing power generation data, and then the pre-set regulation mode is used to regulate the energy of the new energy power generation system. However, this method requires a lot of human resources and computing resources, and in the face of emergencies, the regulation will be too hasty and inflexible, and in serious cases, it may even cause power generation accidents. Summary of the invention

[0005] The object of the present invention is to provide a method for controlling electric quantity based on a hybrid supercapacitor and related equipment to solve the problems raised in the above background technology.

[0006] In a first aspect, the present application provides a method for controlling electric quantity based on a hybrid supercapacitor, the method comprising: Acquire historical power load fluctuation data of the power grid, generate a historical fluctuation curve according to the historical power load fluctuation data, and obtain a historical load supplement value based on the historical fluctuation curve; Acquire urban development data corresponding to the power grid, and predict urban electricity consumption according to the urban development data to obtain predicted electricity consumption data; Combining the historical load supplement value and the predicted power consumption data, obtaining future load supplement data of the power grid; Acquire power generation equipment data of the new energy power generation equipment and future weather data of the area where the new energy power generation equipment is located, and obtain future power generation data of the new energy power generation equipment by combining the power generation equipment data and the future weather data; According to the future load supplement data and the future power generation data, electric quantity difference data and electric quantity redundancy data are obtained, and the electric quantity difference data and the electric quantity redundancy data are sorted in chronological order to obtain an electric quantity supplement diagram; The current power information of the hybrid supercapacitor is obtained, and the power of the hybrid supercapacitor is regulated according to the current power information and the power replenishment diagram.

[0007] Preferably, the steps of obtaining historical power load fluctuation data of the power grid, generating a historical fluctuation curve according to the historical power load fluctuation data, and obtaining a historical load supplement value based on the historical fluctuation curve are specifically as follows: Acquire historical power load fluctuation data of electric quantity, sort the historical power load fluctuation data in chronological order, and obtain a historical load fluctuation sequence; Performing data-to-graph conversion on the historical load fluctuation sequence to obtain a historical fluctuation curve of the historical power load fluctuation data; Obtain the historical electricity consumption of the city corresponding to the power grid, sort the historical electricity consumption in chronological order, and perform data-to-graph conversion to obtain a historical electricity consumption curve; The historical fluctuation curve and the historical electricity consumption curve are overlapped and compared to obtain the curve difference at each time point, and the historical load supplement value is obtained according to the curve difference.

[0008] Preferably, the steps of obtaining the city development data corresponding to the power grid, predicting the city electricity consumption according to the city development data, and obtaining the predicted electricity consumption data are specifically: Acquire the urban development data of the target city corresponding to the power grid, classify the urban development data, and obtain the urban basic data and urban expansion data of the target city; Based on the city basic data, a basic range of the target city is obtained, and the power consumption within the basic range is extracted to obtain the city basic power consumption data; Based on the city expansion data, the expansion scope of the target city is obtained, and the expansion scope is divided into an expanded scope that has been completed and a construction expansion scope that is under construction; Based on the expanded scope, extract the expanded electricity consumption data within the expanded scope, and based on the construction expansion scope, extract the construction expansion electricity consumption data within the construction expansion scope; The predicted electricity consumption data of the target city is obtained by combining the basic electricity consumption data of the city, the expanded electricity consumption data and the construction and expansion electricity consumption data.

[0009] Preferably, based on the construction expansion scope, the step of extracting the construction expansion electricity consumption data within the construction expansion scope is specifically: Based on the expansion scope, obtaining urban construction drawings and current construction data within the expansion scope; Based on the current construction data, obtain the current power consumption data and construction time within the expansion range; Based on the urban construction drawings, obtaining future facility data within the expansion range, and obtaining future electricity consumption data according to the future facility data; Based on the future electricity consumption data, the current electricity consumption data and the construction time, the electricity consumption data within the construction expansion scope is predicted to obtain the construction expansion electricity consumption data within the construction expansion scope in the future time period.

[0010] Preferably, the steps of obtaining the power generation equipment data of the new energy power generation equipment and the future weather data of the area where the new energy power generation equipment is located, and combining the power generation equipment data and the future weather data to obtain the future power generation data of the new energy power generation equipment are specifically: Acquire power generation equipment data of a new energy power generation equipment, and obtain a standard power generation of the new energy power generation equipment in a standard environment based on the power generation equipment data; Acquire future weather data of a location where a new energy power generation device is located and a power generation method of the new energy power generation device, and filter the future weather data according to the power generation method to obtain target future weather data; Based on the power generation equipment data, an upper limit and a lower limit of meteorological intensity of the new energy power generation equipment during operation are obtained; Based on the target future weather data, the target future weather data is processed into intensity data to obtain the meteorological intensity within a future unit time period; The meteorological intensity is screened based on the meteorological intensity upper limit and the meteorological intensity lower limit to obtain a target meteorological intensity and a time period corresponding to the target meteorological intensity; Based on the target meteorological intensity, the time period and the standard power generation, the future power generation data of the energy power generation equipment in the future unit time is calculated.

[0011] Preferably, the step of obtaining the current power information of the hybrid supercapacitor and regulating the power of the hybrid supercapacitor according to the current power information and the power supplement diagram is specifically as follows: Acquire current power information of the hybrid supercapacitor, mark the current hybrid supercapacitor as a target hybrid supercapacitor, and obtain the chargeable capacity and dischargeable capacity of the hybrid supercapacitor according to the current power information; Based on the power replenishment diagram, obtaining the charging demand and / or discharging demand of the target hybrid supercapacitor at each time point; Determining whether the charging demand and / or the discharging demand exceeds the chargeable amount and / or the dischargeable amount; If it is determined that the charging demand and / or the discharging demand is greater than the chargeable amount and / or the dischargeable amount, calling a hybrid supercapacitor other than the target hybrid supercapacitor to undertake the work; Based on the charging demand and the discharging demand, a charging curve and a discharging curve are obtained, and a charging curvature and a discharging curvature are obtained according to the charging curve and the discharging curve; It is determined whether the charging curvature and the discharging curvature are greater than a preset target curvature. If it is determined that the charging curvature and the discharging curvature are greater than the target curvature, a hybrid supercapacitor other than the target hybrid supercapacitor is called to undertake the work.

[0012] Preferably, after the step of obtaining the current power information of the hybrid supercapacitor and regulating the power of the hybrid supercapacitor according to the current power information and the power supplement diagram, the method further includes: Based on the historical power load fluctuation data, historical emergency power consumption data is obtained, and the historical date, power consumption reason and emergency power consumption of the historical emergency power consumption data are extracted; Based on the power consumption reason and the historical date, predict the next possible emergency power consumption date to obtain a predicted date; Based on the predicted date and the emergency power consumption, selecting a backup hybrid supercapacitor for charging and storing for backup; Setting a power output threshold for the target hybrid supercapacitor and monitoring the power output of the target hybrid supercapacitor; When the power output is greater than the power output threshold, it is determined that an emergency power situation occurs, and the backup hybrid supercapacitor is called to replenish power.

[0013] Preferably, after the step of obtaining the current power information of the hybrid supercapacitor and regulating the power of the hybrid supercapacitor according to the current power information and the power supplement diagram, the method further includes: Obtaining a structural material of a hybrid supercapacitor, and obtaining a self-discharge amount of the hybrid supercapacitor per unit time according to the structural material; According to the self-discharge amount, a charging upper limit region is set when the hybrid supercapacitor is charged, and a discharging lower limit region is set when the hybrid supercapacitor is discharged; A charging warning zone is set below the charging upper limit zone, and a discharging warning zone is set above the discharging lower limit zone; When the hybrid supercapacitor is charging or discharging, when the internal charge enters the charging warning zone or the discharging warning zone, the charging or discharging rate is reduced; When the internal electric quantity of the hybrid supercapacitor enters the upper limit region of charging or the lower limit region of discharging, the hybrid supercapacitor is trickle charged, and the trickle charge amount per unit time is the self-discharge amount.

[0014] In a second aspect, the present application provides a device related to power control based on a hybrid supercapacitor, the device comprising: Historical data processing module: used to obtain historical power load fluctuation data of the power grid, generate a historical fluctuation curve according to the historical power load fluctuation data, and obtain a historical load supplement value based on the historical fluctuation curve; Urban electricity consumption prediction module: used to obtain urban development data corresponding to the power grid, predict urban electricity consumption according to the urban development data, and obtain predicted electricity consumption data; A power grid load prediction module: used to obtain future load supplement data of the power grid by combining the historical load supplement value and the predicted power consumption data; Power generation prediction module: used to obtain power generation equipment data of new energy power generation equipment and future weather data of the area where the new energy power generation equipment is located, and combine the power generation equipment data and the future weather data to obtain future power generation data of the new energy power generation equipment; The power analysis module is used to obtain power difference data and power redundancy data according to the future load supplement data and the future power generation data, and sort the power difference data and the power redundancy data in chronological order to obtain a power supplement diagram; The power control module is used to obtain the current power information of the hybrid supercapacitor and control the power of the hybrid supercapacitor according to the current power information and the power replenishment diagram.

[0015] In summary, the present application includes at least one of the following beneficial technical effects: By obtaining the historical power load fluctuation data of the electricity, the historical fluctuation curve is obtained, and then the historical load supplement value is obtained according to the historical fluctuation curve, and then the urban development data corresponding to the power grid is obtained, and the urban electricity consumption is predicted according to the urban development data to obtain the predicted electricity consumption data, and the future load supplement data of the power grid is obtained by combining the above two data; then the power generation equipment data of the new energy power generation equipment and the future weather data of the area where it is located are obtained, and the future power generation data is obtained according to the above two data; according to the future power generation data and the future load supplement data, the power replenishment diagram is obtained, and the power of the hybrid supercapacitor is regulated according to the power supplement diagram and the current power information of the hybrid supercapacitor. The historical emergency power consumption and historical dates are obtained, and the emergency power consumption and predicted date of the next emergency power consumption are obtained after prediction, and preparations are made in advance according to the emergency power consumption and predicted date. The structural materials of the hybrid supercapacitor are obtained, and multiple areas are set for it, and different charging and discharging strategies are used in different areas. The dependence of the hybrid supercapacitor on human resources is reduced, and the flexibility and life of the hybrid supercapacitor in the face of emergencies are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of the steps of a method for controlling electric quantity based on a hybrid supercapacitor provided in an embodiment of the present application; Figure 2 It is a module block diagram of a power control-related device based on a hybrid supercapacitor provided in an embodiment of the present application.

[0017] Explanation of the accompanying drawings: 1. Historical data processing module; 2. Urban electricity consumption prediction module; 3. Grid load prediction module; 4. Power generation prediction module; 5. Electricity analysis module; 6. Electricity control module. DETAILED DESCRIPTION

[0018] The following is combined with Figure 1-Figure 2 The present application is further described in detail, but the embodiments of the present invention are not limited thereto.

[0019] The embodiment of the present application discloses a method for controlling electric quantity based on a hybrid supercapacitor and related equipment.

[0020] In this embodiment, a method for controlling electric quantity based on a hybrid supercapacitor is provided, the method comprising: S100: Acquire historical power load fluctuation data of the power grid, generate a historical fluctuation curve according to the historical power load fluctuation data, and obtain a historical load supplement value based on the historical fluctuation curve; S200: Acquire urban development data corresponding to the power grid, predict urban electricity consumption according to the urban development data, and obtain predicted electricity consumption data; S300: Combining historical load supplement values ​​and predicted power consumption data, obtaining future load supplement data of the power grid; S400: Acquire power generation equipment data of the new energy power generation equipment and future weather data of the area where the new energy power generation equipment is located, and obtain future power generation data of the new energy power generation equipment by combining the power generation equipment data and the future weather data; S500: obtaining power difference data and power redundancy data according to future load supplementation data and future power generation data, and sorting the power difference data and power redundancy data in chronological order to obtain a power supplementation diagram; S600: Acquire current power information of the hybrid supercapacitor, and regulate the power of the hybrid supercapacitor according to the current power information and the power replenishment diagram.

[0021] It should be pointed out that the above process is only the basic process of this embodiment. In the specific implementation process, some processes can be appropriately added, reduced or modified without affecting the overall implementation effect.

[0022] The steps of obtaining historical power load fluctuation data of the power grid, generating a historical fluctuation curve according to the historical power load fluctuation data, and obtaining a historical load supplement value based on the historical fluctuation curve are specifically as follows: Obtain historical power load fluctuation data of electricity consumption, sort the historical power load fluctuation data in chronological order, and obtain a historical load fluctuation sequence; The historical load fluctuation sequence is converted into data-graph to obtain the historical fluctuation curve of the historical power load fluctuation data; Obtain the historical electricity consumption of the city corresponding to the power grid, sort the historical electricity consumption in chronological order, and perform data-graphic conversion to obtain the historical electricity consumption curve; The historical fluctuation curve and the historical electricity consumption curve are overlapped and compared to obtain the curve difference at each time point, and the historical load supplement value is obtained based on the curve difference.

[0023] In application, taking the power grid of city Z as an example, the historical power load fluctuation data A of the power grid in the past ten years is obtained, and the historical load fluctuation sequence is obtained according to the time sorting of each data in data A, and the sequence is converted from data to graph according to the values ​​in the sequence to obtain the historical fluctuation curve, which generally shows an upward trend. Then the historical power consumption B of city Z in the past time is obtained, and the historical power consumption curve is obtained by sorting and data-graphing according to the above method according to the power consumption B, and the historical power consumption curve is shown in an upward trend. The X-axis and Y-axis of the historical fluctuation curve and the historical power consumption curve are overlapped to obtain the image of the two curves in the same coordinate system, and the curve difference between the two curves is extracted, and the historical load supplement value is obtained according to the curve difference.

[0024] The steps of obtaining the urban development data corresponding to the power grid, predicting the urban electricity consumption according to the urban development data, and obtaining the predicted electricity consumption data are as follows: Obtain the urban development data of the target city corresponding to the power grid, classify the urban development data, and obtain the urban basic data and urban expansion data of the target city; Based on the basic urban data, the basic range of the target city is obtained, and the power consumption within the basic range is extracted to obtain the basic urban power consumption data; Based on the city expansion data, the expansion scope of the target city is obtained, and the expansion scope is divided into the completed expansion scope and the construction expansion scope under construction; Based on the expanded scope, the expanded electricity consumption data within the expanded scope is extracted; based on the construction expansion scope, the construction expansion electricity consumption data within the construction expansion scope is extracted; By combining the city’s basic electricity consumption data, expanded electricity consumption data, and construction and expansion electricity consumption data, we can obtain the predicted electricity consumption data for the target city.

[0025] In application, taking the power grid of city Z as an example, the urban development data of city Z is obtained and classified. The data of the central area of ​​the city is obtained as the basic data of the city, that is, the data that has been stabilized in the city. The data of the periphery of the city is the urban expansion data, that is, the data of the area currently under development. According to the basic data of the city, the basic electricity consumption data C of the central area of ​​the city is obtained. According to the urban expansion data, the expansion range of city Z is the peripheral area of ​​the city, and it is divided according to the degree of construction. The constructed area is marked as the expanded range, and the expanded electricity consumption data V of residents and businesses within the expanded range is obtained. The area under construction is marked as the construction expansion range, and the construction expansion electricity consumption data X such as construction electricity within the construction expansion range is obtained. The data C, V, and X are integrated to obtain the predicted electricity consumption data of city Z.

[0026] Based on the construction expansion scope, the steps for extracting the construction expansion electricity consumption data within the construction expansion scope are as follows: Based on the expansion scope, obtain the urban construction drawings and current construction data within the expansion scope; Based on the current construction data, obtain the current electricity consumption data and construction time within the expansion range; Based on the city construction drawings, obtain the future facility data within the expansion range, and obtain the future electricity consumption data based on the future facility data; Based on future electricity consumption data, current electricity consumption data and construction time, the electricity consumption data within the construction expansion scope is predicted to obtain the construction expansion electricity consumption data within the construction expansion scope in the future time period.

[0027] In application, taking the power grid of city Z as an example, in the expansion range, i.e., the peripheral area of ​​the city, the urban construction drawings and current construction data of the area are obtained. According to the current construction data, it is found that the current electricity consumption data in the range is T, and the construction completion time is three years later; according to the urban construction drawings, the future facility data in the area is obtained, such as subway construction, signal towers, office buildings and other facility data, and the future electricity consumption data U is obtained based on the above future facility data. According to the future electricity consumption data U, the current electricity consumption data T and the three-year construction time, the future electricity consumption data of the peripheral area of ​​the city is predicted to obtain the construction expansion electricity consumption data X.

[0028] The steps of obtaining the power generation equipment data of the new energy power generation equipment and the future weather data of the area where the new energy power generation equipment is located, and combining the power generation equipment data and the future weather data to obtain the future power generation data of the new energy power generation equipment are specifically as follows: Acquire power generation equipment data of the new energy power generation equipment, and obtain the standard power generation of the new energy power generation equipment in a standard environment based on the power generation equipment data; Obtain future weather data of the location of the new energy power generation equipment and the power generation method of the new energy power generation equipment, filter the future weather data according to the power generation method, and obtain target future weather data; Based on the data of power generation equipment, the upper limit and lower limit of meteorological intensity of new energy power generation equipment during operation are obtained; Based on the target future weather data, the target future weather data is processed into intensity data to obtain the meteorological intensity within a future unit time period; The meteorological intensity is screened based on the upper limit of the meteorological intensity and the lower limit of the meteorological intensity to obtain the target meteorological intensity and the time period corresponding to the target meteorological intensity; Based on the target meteorological intensity, time period and standard power generation, the future power generation data of the energy power generation equipment in the future unit time is calculated.

[0029] In application, take the power grid of city Z as an example. A photovoltaic power plant is connected to the power grid. The power generation equipment data in the photovoltaic power plant is obtained to obtain the standard power generation Q of the photovoltaic power plant under standard light. Then the future weather data within three months of the location of the photovoltaic power plant and the power generation mode of photovoltaic power generation are obtained as light power generation. The future weather data is screened according to the power generation mode of light power generation, and the weather data with sunshine in the next three months is obtained for 77 days, that is, the weather data of these 77 days is the target future weather data. Then, according to the power generation equipment data of the photovoltaic panel, the minimum light intensity required by the photovoltaic panel when generating electricity and the maximum light intensity when running at full power are obtained, that is, the upper limit and lower limit of the meteorological intensity are obtained. The target meteorological intensity and the corresponding time period are obtained according to the upper limit and lower limit of the meteorological intensity. According to the above content, a comprehensive calculation is performed to obtain the future power generation data P of the photovoltaic power plant in the next three months.

[0030] The steps of obtaining the current power information of the hybrid supercapacitor and regulating the power of the hybrid supercapacitor according to the current power information and the power replenishment diagram are specifically as follows: Acquire current power information of the hybrid supercapacitor, mark the current hybrid supercapacitor as a target hybrid supercapacitor, and obtain the chargeable capacity and dischargeable capacity of the hybrid supercapacitor according to the current power information; Based on the power replenishment diagram, the charging demand and / or discharging demand of the target hybrid supercapacitor at each time point is obtained; Determine whether the charging demand and / or discharging demand exceeds the chargeable amount and / or dischargeable amount; If it is determined that the charging demand and / or discharging demand is greater than the chargeable amount and / or the dischargeable amount, a hybrid supercapacitor other than the target hybrid supercapacitor is called to perform the work; Based on the charging demand and the discharging demand, a charging curve and a discharging curve are obtained, and a charging curvature and a discharging curvature are obtained according to the charging curve and the discharging curve; It is determined whether the charging curvature and the discharging curvature are greater than a preset target curvature. If it is determined that the charging curvature and the discharging curvature are greater than the target curvature, a hybrid supercapacitor other than the target hybrid supercapacitor is called to perform the work.

[0031] In use, taking the power grid of city Z as an example, the current power information of the supercapacitor is obtained, and based on the current power information, the chargeable capacity of the hybrid supercapacitor is 49%, and the dischargeable capacity is 49%. Then, according to the power replenishment diagram, the charging demand and discharge demand of the target hybrid supercapacitor at each time point in a day are obtained, such as the charging demand is 80% in the morning and evening, and the discharge demand is 75% at noon and afternoon. If it is judged that the charging demand and the discharge demand are both greater than the chargeable capacity and the dischargeable capacity, other hybrid supercapacitors are called to undertake the charging and discharging work. Then, according to the charging and discharging demand, the charging curve and the discharging curve are obtained, and the charging curvature is further obtained to be 7 and the discharging curvature is 8, both of which are greater than the preset target curvature of 5, then the charging curvature and the discharging curvature are adjusted, that is, other hybrid supercapacitors are called to undertake the charging and discharging work.

[0032] After the steps of obtaining the current power information of the hybrid supercapacitor and regulating the power of the hybrid supercapacitor according to the current power information and the power replenishment diagram, the method further includes: Based on the historical power load fluctuation data, the historical emergency power consumption data is obtained, and the historical date, power consumption reason and emergency power consumption of the historical emergency power consumption data are extracted; Based on the reasons for electricity consumption and historical dates, the next possible emergency electricity consumption date is predicted to obtain a predicted date; Based on the forecast date and emergency power consumption, a backup hybrid supercapacitor is selected for charging and storage; Setting a power output threshold for the target hybrid supercapacitor and monitoring the power output of the target hybrid supercapacitor; When the power output is greater than the power output threshold, it is determined that an emergency power situation has occurred, and the backup hybrid supercapacitor is called to replenish the power.

[0033] In application, taking the power grid of city Z as an example, based on the historical power load fluctuation data of the power grid, historical emergency power consumption data is obtained, including the historical dates of historical emergency power consumption around July and August each year, the reasons for power consumption include the use of air conditioning, etc., the emergency power consumption is W, and the predicted date of the next possible emergency power consumption is the end of July based on the reasons for power consumption and historical dates. Then, according to the emergency power consumption W, a backup hybrid supercapacitor is selected for charging and standby. The power output threshold of the target hybrid supercapacitor is set to 10. If the current power output of the target hybrid supercapacitor is 10.5, it is judged that an emergency power situation has occurred, and the backup hybrid supercapacitor is called to replenish the power.

[0034] After the steps of obtaining the current power information of the hybrid supercapacitor and regulating the power of the hybrid supercapacitor according to the current power information and the power replenishment diagram, the method further includes: Obtaining a structural material of a hybrid supercapacitor, and obtaining a self-discharge amount of the hybrid supercapacitor per unit time according to the structural material; According to the self-discharge amount, a charging upper limit region is set when the hybrid supercapacitor is charged, and a discharging lower limit region is set when the hybrid supercapacitor is discharged; A charging warning zone is set below the charging upper limit zone, and a discharging warning zone is set above the discharging lower limit zone; When the hybrid supercapacitor is charging or discharging, when the internal charge enters the charging warning zone or the discharging warning zone, the charging or discharging rate is reduced; When the internal charge of the hybrid supercapacitor enters the upper limit of charging or the lower limit of discharging, the hybrid supercapacitor is trickle charged, and the trickle charge amount per unit time is the self-discharge amount.

[0035] In use, taking the power grid of city Z as an example, the self-discharge amount per unit time of the hybrid supercapacitor connected to the power grid is obtained. For example, the self-discharge amount of the hybrid supercapacitor within one hour is 0.1 kWh, and the standard full charge of the hybrid supercapacitor is 100 kWh. Then, according to the 0.1 kWh, the charging upper limit area and the discharging lower limit area are set inside the hybrid supercapacitor. The charging upper limit area and the discharging lower limit area are both 0.2 kWh when they touch the top or bottom, and a charging warning area and a discharging warning area of ​​2 kWh are set respectively. When the amount of electricity enters the charging warning area or the discharging warning area during charging and discharging, that is, the amount of electricity is higher than 98 kWh or lower than 2 kWh, the charging or discharging rate begins to be gradually reduced. When the amount of electricity of charging and discharging enters the charging upper limit area or the charging lower limit area, that is, the amount of electricity is higher than or equal to 99.8 kWh or lower than or equal to 0.2 kWh, the state of trickle charging is entered, so that the amount of electricity of the hybrid marking capacitor will not reach 100 kWh or 0 kWh, and the amount of trickle charging within one hour is 0.1 kWh, which is equal to the self-discharge amount.

[0036] An embodiment of the present invention provides a device related to power control based on a hybrid supercapacitor, using any one of the above-mentioned power control methods based on a hybrid supercapacitor, and the device includes: Historical data processing module 1: used to obtain historical power load fluctuation data of the power grid, generate a historical fluctuation curve according to the historical power load fluctuation data, and obtain a historical load supplement value based on the historical fluctuation curve; Urban electricity consumption prediction module 2: used to obtain urban development data corresponding to the power grid, predict urban electricity consumption based on the urban development data, and obtain predicted electricity consumption data; Power grid load forecasting module 3: used to combine historical load supplement values ​​and predicted power consumption data to obtain future load supplement data of the power grid; Power generation prediction module 4: used to obtain power generation equipment data of new energy power generation equipment and future weather data of the area where the new energy power generation equipment is located, and combine the power generation equipment data and future weather data to obtain future power generation data of the new energy power generation equipment; Electricity analysis module 5: used to obtain electric quantity difference data and electric quantity redundant data according to future load supplement data and future power generation data, sort the electric quantity difference data and electric quantity redundant data in chronological order, and obtain an electric quantity supplement diagram; The power control module 6 is used to obtain the current power information of the hybrid supercapacitor, and control the power of the hybrid supercapacitor according to the current power information and the power replenishment diagram.

[0037] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for controlling electric quantity based on a hybrid supercapacitor, characterized in that: include: Acquire historical power load fluctuation data of the power grid, generate a historical fluctuation curve according to the historical power load fluctuation data, and obtain a historical load supplement value based on the historical fluctuation curve; Acquire urban development data corresponding to the power grid, and predict urban electricity consumption according to the urban development data to obtain predicted electricity consumption data; Combining the historical load supplement value and the predicted power consumption data, obtaining future load supplement data of the power grid; Acquire power generation equipment data of the new energy power generation equipment and future weather data of the area where the new energy power generation equipment is located, and obtain future power generation data of the new energy power generation equipment by combining the power generation equipment data and the future weather data; According to the future load supplement data and the future power generation data, electric quantity difference data and electric quantity redundancy data are obtained, and the electric quantity difference data and the electric quantity redundancy data are sorted in chronological order to obtain an electric quantity supplement diagram; The current power information of the hybrid supercapacitor is obtained, and the power of the hybrid supercapacitor is regulated according to the current power information and the power replenishment diagram.

2. A method for controlling electric quantity based on a hybrid supercapacitor according to claim 1, characterized in that: The steps of obtaining historical power load fluctuation data of the power grid, generating a historical fluctuation curve according to the historical power load fluctuation data, and obtaining a historical load supplement value based on the historical fluctuation curve are specifically as follows: Acquire historical power load fluctuation data of electric quantity, sort the historical power load fluctuation data in chronological order, and obtain a historical load fluctuation sequence; Performing data-to-graph conversion on the historical load fluctuation sequence to obtain a historical fluctuation curve of the historical power load fluctuation data; Obtain the historical electricity consumption of the city corresponding to the power grid, sort the historical electricity consumption in chronological order, and perform data-to-graph conversion to obtain a historical electricity consumption curve; The historical fluctuation curve and the historical electricity consumption curve are overlapped and compared to obtain the curve difference at each time point, and the historical load supplement value is obtained according to the curve difference.

3. The method for controlling the amount of electricity based on a hybrid supercapacitor according to claim 2, characterized in that: The steps of obtaining the urban development data corresponding to the power grid, predicting the urban electricity consumption according to the urban development data, and obtaining the predicted electricity consumption data are specifically as follows: Acquire the urban development data of the target city corresponding to the power grid, classify the urban development data, and obtain the urban basic data and urban expansion data of the target city; Based on the city basic data, a basic range of the target city is obtained, and the power consumption within the basic range is extracted to obtain the city basic power consumption data; Based on the city expansion data, the expansion scope of the target city is obtained, and the expansion scope is divided into an expanded scope that has been completed and a construction expansion scope that is under construction; Based on the expanded scope, extract the expanded electricity consumption data within the expanded scope, and based on the construction expansion scope, extract the construction expansion electricity consumption data within the construction expansion scope; The predicted electricity consumption data of the target city is obtained by combining the basic electricity consumption data of the city, the expanded electricity consumption data and the construction and expansion electricity consumption data.

4. The method for controlling electric quantity based on a hybrid supercapacitor according to claim 3, characterized in that: Based on the construction expansion scope, the steps of extracting the construction expansion electricity consumption data within the construction expansion scope are specifically: Based on the expansion scope, obtaining urban construction drawings and current construction data within the expansion scope; Based on the current construction data, obtain the current power consumption data and construction time within the expansion range; Based on the urban construction drawings, obtaining future facility data within the expansion range, and obtaining future electricity consumption data according to the future facility data; Based on the future electricity consumption data, the current electricity consumption data and the construction time, the electricity consumption data within the construction expansion scope is predicted to obtain the construction expansion electricity consumption data within the construction expansion scope in the future time period.

5. The method for controlling electric quantity based on a hybrid supercapacitor according to claim 1, characterized in that: The steps of obtaining the power generation equipment data of the new energy power generation equipment and the future weather data of the area where the new energy power generation equipment is located, and combining the power generation equipment data and the future weather data to obtain the future power generation data of the new energy power generation equipment are specifically as follows: Acquire power generation equipment data of a new energy power generation equipment, and obtain a standard power generation of the new energy power generation equipment in a standard environment based on the power generation equipment data; Acquire future weather data of the location of the new energy power generation equipment and the power generation mode of the new energy power generation equipment, and filter the future weather data according to the power generation mode to obtain target future weather data; Based on the power generation equipment data, an upper limit and a lower limit of meteorological intensity of the new energy power generation equipment during operation are obtained; Based on the target future weather data, the target future weather data is processed into intensity data to obtain the meteorological intensity within a future unit time period; The meteorological intensity is screened based on the meteorological intensity upper limit and the meteorological intensity lower limit to obtain a target meteorological intensity and a time period corresponding to the target meteorological intensity; Based on the target meteorological intensity, the time period and the standard power generation, the future power generation data of the energy power generation equipment in the future unit time is calculated.

6. The method for controlling electric quantity based on a hybrid supercapacitor according to claim 5, characterized in that: The steps of obtaining the current power information of the hybrid supercapacitor and regulating the power of the hybrid supercapacitor according to the current power information and the power supplement diagram are specifically as follows: Acquire current power information of the hybrid supercapacitor, mark the current hybrid supercapacitor as a target hybrid supercapacitor, and obtain the chargeable capacity and dischargeable capacity of the hybrid supercapacitor according to the current power information; Based on the power replenishment diagram, obtaining the charging demand and / or discharging demand of the target hybrid supercapacitor at each time point; Determining whether the charging demand and / or the discharging demand exceeds the chargeable amount and / or the dischargeable amount; If it is determined that the charging demand and / or the discharging demand is greater than the chargeable amount and / or the dischargeable amount, calling a hybrid supercapacitor other than the target hybrid supercapacitor to undertake the work; Based on the charging demand and the discharging demand, a charging curve and a discharging curve are obtained, and a charging curvature and a discharging curvature are obtained according to the charging curve and the discharging curve; It is determined whether the charging curvature and the discharging curvature are greater than a preset target curvature. If it is determined that the charging curvature and the discharging curvature are greater than the target curvature, a hybrid supercapacitor other than the target hybrid supercapacitor is called to perform the work.

7. The method for controlling the amount of electricity of a hybrid supercapacitor according to claim 6, characterized in that: After the step of obtaining the current power information of the hybrid supercapacitor and regulating the power of the hybrid supercapacitor according to the current power information and the power supplement diagram, the method further includes: Based on the historical power load fluctuation data, historical emergency power consumption data is obtained, and the historical date, power consumption reason and emergency power consumption of the historical emergency power consumption data are extracted; Based on the power consumption reason and the historical date, predict the next possible emergency power consumption date to obtain a predicted date; Based on the predicted date and the emergency power consumption, selecting a backup hybrid supercapacitor for charging and storing for backup; Setting a power output threshold for the target hybrid supercapacitor and monitoring the power output of the target hybrid supercapacitor; When the power output is greater than the power output threshold, it is determined that an emergency power situation occurs, and the backup hybrid supercapacitor is called to replenish power.

8. The method for controlling the amount of electricity of a hybrid supercapacitor according to claim 6, characterized in that: After the step of obtaining the current power information of the hybrid supercapacitor and regulating the power of the hybrid supercapacitor according to the current power information and the power supplement diagram, the method further includes: Obtaining a structural material of a hybrid supercapacitor, and obtaining a self-discharge amount of the hybrid supercapacitor per unit time according to the structural material; According to the self-discharge amount, a charging upper limit region is set when the hybrid supercapacitor is charged, and a discharging lower limit region is set when the hybrid supercapacitor is discharged; A charging warning zone is set below the charging upper limit zone, and a discharging warning zone is set above the discharging lower limit zone; When the hybrid supercapacitor is charging or discharging, when the internal charge enters the charging warning zone or the discharging warning zone, the charging or discharging rate is reduced; When the internal electric quantity of the hybrid supercapacitor enters the upper limit region of charging or the lower limit region of discharging, the hybrid supercapacitor is trickle charged, and the trickle charge amount per unit time is the self-discharge amount.

9. A device related to power control based on a hybrid supercapacitor, wherein the method adopts a power control method based on a hybrid supercapacitor as claimed in any one of claims 1 to 8, characterized in that: The method comprises the following steps: Historical data processing module: used to obtain historical power load fluctuation data of the power grid, generate a historical fluctuation curve according to the historical power load fluctuation data, and obtain a historical load supplement value based on the historical fluctuation curve; Urban electricity consumption prediction module: used to obtain urban development data corresponding to the power grid, predict urban electricity consumption according to the urban development data, and obtain predicted electricity consumption data; A power grid load prediction module: used to obtain future load supplement data of the power grid by combining the historical load supplement value and the predicted power consumption data; Power generation prediction module: used to obtain power generation equipment data of new energy power generation equipment and future weather data of the area where the new energy power generation equipment is located, and combine the power generation equipment data and the future weather data to obtain future power generation data of the new energy power generation equipment; An electric quantity analysis module is used to obtain electric quantity difference data and electric quantity redundancy data according to the future load supplementation data and the future power generation data, and to sort the electric quantity difference data and the electric quantity redundancy data in chronological order to obtain an electric quantity supplementation diagram; The power control module is used to obtain the current power information of the hybrid supercapacitor, and control the power of the hybrid supercapacitor according to the current power information and the power replenishment diagram.

Images