A power control method based on hybrid supercapacitor and related equipment

Abstract

The present application discloses a power control method and related equipment based on a hybrid supercapacitor, which relates to the technical field of capacitor power control. The method includes obtaining historical power load fluctuation data of the power grid to obtain historical load supplement values; obtaining urban development data corresponding to the power grid to obtain predicted power consumption data; combining historical load supplement values ​​and predicted power consumption data to obtain future load supplement data of the power grid; obtaining 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 to obtain future power generation data; obtaining a power supplement map based on future load supplement data and future power generation data; obtaining current power information of the hybrid supercapacitor and regulating the power of the hybrid supercapacitor. The present application has the effect of reducing the dependence of the hybrid supercapacitor on human resources and improving the flexibility and life of the hybrid supercapacitor in the face of emergencies.

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 a single system. They store electrical energy through electrochemical reactions and physical processes, offering high energy and power density, rapid charge and discharge, and a long cycle life.

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

[0004] In existing technologies, hybrid supercapacitors are typically used to regulate energy in renewable energy power generation systems by pre-setting the hybrid supercapacitors based on existing power generation data. These pre-set regulation modes are then used to regulate the energy of the renewable energy power generation system. However, this approach requires significant human and computing resources, and can result in hasty and inflexible adjustments in the face of emergencies. In severe cases, this can even lead to power generation accidents. Summary of the Invention

[0005] The object of the present invention is to provide a method for controlling the amount of electricity using a hybrid supercapacitor and related equipment to solve the problems mentioned above.

[0006] In a first aspect, the present application provides a method for controlling power consumption based on a hybrid supercapacitor, the method comprising:

[0007] Acquiring 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;

[0008] Obtaining urban development data corresponding to the power grid, and predicting urban electricity consumption based on the urban development data to obtain predicted electricity consumption data;

[0009] Combining the historical load supplement value and the predicted power consumption data to obtain future load supplement data of the power grid;

[0010] 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 combine the power generation equipment data and the future weather data to obtain future power generation data of the new energy power generation equipment;

[0011] Obtaining power difference data and power redundancy data according to the future load replenishment data and the future power generation data, and sorting the power difference data and the power redundancy data in chronological order to obtain a power replenishment graph;

[0012] 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.

[0013] 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:

[0014] Acquire historical electricity load fluctuation data of electric power, sort the historical electricity load fluctuation data in chronological order, and obtain a historical load fluctuation sequence;

[0015] Performing data-to-graph conversion on the historical load fluctuation sequence to obtain a historical fluctuation curve of the historical power load fluctuation data;

[0016] 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;

[0017] 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.

[0018] Preferably, the steps of obtaining urban development data corresponding to the power grid, predicting urban electricity consumption based on the urban development data, and obtaining predicted electricity consumption data are specifically as follows:

[0019] Acquire urban development data of a target city corresponding to the power grid, perform data classification on the urban development data, and obtain urban basic data and urban expansion data of the target city;

[0020] 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;

[0021] Based on the city expansion data, the expansion scope of the target city is obtained, and the expansion scope is divided into a completed expansion scope and a construction expansion scope under construction;

[0022] Based on the expanded range, extracting the expanded electricity consumption data within the expanded range; based on the construction expansion range, extracting the construction expansion electricity consumption data within the construction expansion range;

[0023] 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 expansion electricity consumption data.

[0024] Preferably, based on the construction expansion scope, the step of extracting the construction expansion electricity consumption data within the construction expansion scope is specifically:

[0025] Based on the expansion range, obtaining urban construction drawings and current construction data within the expansion range;

[0026] Based on the current construction data, obtain current electricity consumption data and construction time within the expansion range;

[0027] Based on the urban construction drawings, obtaining future facility data within the expansion range, and obtaining future electricity consumption data based on the future facility data;

[0028] Based on the future electricity consumption data, the current electricity consumption data and the construction time, the electricity consumption data within the construction expansion range is predicted to obtain the construction expansion electricity consumption data within the construction expansion range in the future time period.

[0029] Preferably, the steps of obtaining power generation equipment data of a new energy power generation equipment and future weather data of an area where the new energy power generation equipment is located, and combining the power generation equipment data and the future weather data to obtain future power generation data of the new energy power generation equipment, are specifically:

[0030] Acquiring power generation equipment data of a new energy power generation equipment, and obtaining a standard power generation capacity of the new energy power generation equipment in a standard environment based on the power generation equipment data;

[0031] Obtaining future weather data for a location of the new energy power generation equipment and a power generation method of the new energy power generation equipment, and filtering the future weather data according to the power generation method to obtain target future weather data;

[0032] Based on the power generation equipment data, obtaining the upper limit and lower limit of meteorological intensity of the new energy power generation equipment during operation;

[0033] 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;

[0034] Filtering the meteorological intensity 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;

[0035] Based on the target meteorological intensity, the time period and the standard power generation, future power generation data of the energy power generation equipment in the future unit time is calculated.

[0036] 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 replenishment map is specifically as follows:

[0037] Acquiring current power information of the hybrid supercapacitor, marking the current hybrid supercapacitor as a target hybrid supercapacitor, and obtaining a chargeable capacity and a dischargeable capacity of the hybrid supercapacitor according to the current power information;

[0038] Based on the power replenishment map, obtaining the charging demand and / or discharging demand of the target hybrid supercapacitor at each time point;

[0039] Determining whether the charging demand and / or the discharging demand exceeds the chargeable amount and / or the dischargeable amount;

[0040] 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 take over the work;

[0041] 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;

[0042] 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 take over the work.

[0043] 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 replenishment map, the method further includes:

[0044] 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;

[0045] Based on the power consumption reason and the historical date, predicting the next possible emergency power consumption date to obtain a predicted date;

[0046] Based on the predicted date and the emergency power consumption, selecting a backup hybrid supercapacitor for charging and storing for backup;

[0047] Setting a power output threshold for the target hybrid supercapacitor and monitoring the power output of the target hybrid supercapacitor;

[0048] 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.

[0049] 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 replenishment map, the method further includes:

[0050] Obtaining a structural material of a hybrid supercapacitor, and obtaining a self-discharge amount per unit time of the hybrid supercapacitor based on the structural material;

[0051] According to the self-discharge amount, a charging upper limit region is set when the hybrid supercapacitor is charged, and a discharge lower limit region is set when the hybrid supercapacitor is discharged;

[0052] 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;

[0053] When the hybrid supercapacitor is charging or discharging, if the internal charge enters the charging warning zone or the discharging warning zone, the charging or discharging rate is reduced;

[0054] 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.

[0055] In a second aspect, the present application provides a device related to power control based on a hybrid supercapacitor, the device comprising:

[0056] A historical data processing module is used to obtain historical power load fluctuation data of the power grid, generate a historical fluctuation curve based on the historical power load fluctuation data, and obtain a historical load supplement value based on the historical fluctuation curve;

[0057] Urban electricity consumption prediction module: 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;

[0058] A power grid load forecasting module is configured to obtain future load supplementary data of the power grid by combining the historical load supplementary value and the predicted power consumption data;

[0059] 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;

[0060] An electric quantity analysis module is configured to obtain electric quantity difference data and electric quantity redundancy data according to the future load replenishment 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 replenishment diagram;

[0061] 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.

[0062] In summary, this application includes at least one of the following beneficial technical effects:

[0063] By acquiring historical load fluctuation data, a historical fluctuation curve is generated. Based on this historical fluctuation curve, historical load replenishment values ​​are derived. Furthermore, urban development data corresponding to the power grid is obtained, and urban power consumption is predicted based on this data to obtain predicted power consumption data. These two data sets are combined to generate future load replenishment data for the power grid. Furthermore, data on the generation equipment of new energy power generation devices and future weather data for the area in which they are located are obtained, and future power generation data is derived from these two data sets. Based on this future power generation data and future load replenishment data, a power replenishment chart is generated. The power of the hybrid supercapacitor is controlled based on this chart and the current power information of the hybrid supercapacitor. Historical emergency power consumption and historical dates are obtained, and a forecast is made to obtain the emergency power consumption and predicted date for the next emergency. Advance preparations are made based on these emergency power consumption and predicted dates. The structural materials of the hybrid supercapacitor are then configured into multiple zones, with different charge and discharge strategies used in different zones. This reduces the hybrid supercapacitor's reliance on human resources and increases its flexibility and lifespan in emergency situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 This is a flowchart of a method for controlling power based on a hybrid supercapacitor provided in an embodiment of the present application;

[0065] Figure 2 This is a module block diagram of a power control-related device based on a hybrid supercapacitor provided in an embodiment of the present application.

[0066] Explanation of the accompanying symbols: 1. Historical data processing module; 2. Urban electricity consumption forecast module; 3. Grid load forecast module; 4. Power generation forecast module; 5. Electricity analysis module; 6. Electricity control module. DETAILED DESCRIPTION

[0067] The following is combined with Figure 1-Figure 2 This application is further described in detail, but the embodiments of the present invention are not limited thereto.

[0068] The embodiments of the present application disclose a method for controlling electric quantity based on a hybrid supercapacitor and related equipment.

[0069] In this embodiment, a method for controlling power based on a hybrid supercapacitor includes:

[0070] S100: Acquire historical power load fluctuation data of the power grid, generate a historical fluctuation curve based on the historical power load fluctuation data, and obtain a historical load supplement value based on the historical fluctuation curve;

[0071] S200: Obtaining urban development data corresponding to the power grid, predicting urban electricity consumption based on the urban development data, and obtaining predicted electricity consumption data;

[0072] S300: combining historical load supplement values ​​and predicted power consumption data to obtain future load supplement data for the power grid;

[0073] 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 combine the power generation equipment data and the future weather data to obtain future power generation data of the new energy power generation equipment;

[0074] S500: Obtaining power difference data and power redundancy data based on future load replenishment data and future power generation data, and sorting the power difference data and power redundancy data in chronological order to obtain a power replenishment graph;

[0075] 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.

[0076] It should be noted that the above process is only the basic process of this embodiment. During the specific implementation process, some processes can be appropriately added, reduced or modified without affecting the overall implementation effect.

[0077] The steps of obtaining historical power load fluctuation data of the power grid, generating a historical fluctuation curve based on the historical power load fluctuation data, and obtaining a historical load supplement value based on the historical fluctuation curve are specifically as follows:

[0078] Obtain historical electricity load fluctuation data, sort the historical electricity load fluctuation data in chronological order, and obtain a historical load fluctuation sequence;

[0079] Perform data-graph conversion on the historical load fluctuation sequence to obtain the historical fluctuation curve of the historical power load fluctuation data;

[0080] 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 the historical electricity consumption curve;

[0081] 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.

[0082] In practice, taking the power grid of city Z as an example, we obtain historical load fluctuation data A from the past ten years. We then sort each data point in data A by time to obtain a historical load fluctuation sequence. We then perform a data-to-graph conversion based on the values ​​in this sequence to obtain a historical fluctuation curve, which generally shows an upward trend. We then obtain historical electricity consumption data B from the past for city Z. We then sort B using the same method and perform a data-to-graph conversion to obtain a historical electricity consumption curve, which shows an upward trend. We then overlay the X-axis and Y-axis of the historical fluctuation curve and the historical electricity consumption curve to obtain an image of the two curves in the same coordinate system. We then extract the difference between the two curves and use this difference to determine the historical load supplement value.

[0083] The steps for obtaining the urban development data corresponding to the power grid and predicting the urban electricity consumption based on the urban development data to obtain the predicted electricity consumption data are as follows:

[0084] Obtain urban development data of the target city corresponding to the power grid, classify the urban development data, and obtain the target city's urban basic data and urban expansion data;

[0085] Based on the basic city data, the basic scope of the target city is obtained, and the power consumption within the basic scope is extracted to obtain the basic city power consumption data;

[0086] 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;

[0087] Based on the expanded scope, extract the expanded electricity consumption data within the expanded scope; based on the construction expansion scope, extract the construction expansion electricity consumption data within the construction expansion scope;

[0088] 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.

[0089] In application, taking the power grid of City Z as an example, we obtain and categorize urban development data for City Z. Data for the city center is defined as basic urban data, representing the city's already stable data. Data for the city's periphery is defined as urban expansion data, representing the areas currently undergoing development. Based on the basic urban data, we obtain basic electricity consumption data C for the city center. Based on the urban expansion data, we determine the expansion area of ​​City Z as the city's peripheral areas, which are divided according to the level of construction. Completed areas are marked as the expanded area, and expanded electricity consumption data V for residential and commercial areas within the expanded area is obtained. Areas under construction are marked as the construction expansion area, and construction expansion electricity consumption data X, including construction electricity consumption, is obtained within the construction expansion area. Data C, V, and X are integrated to obtain predicted electricity consumption data for City Z.

[0090] Based on the construction expansion scope, the steps for extracting the construction expansion electricity consumption data within the construction expansion scope are as follows:

[0091] Based on the expansion scope, obtain urban construction drawings and current construction data within the expansion scope;

[0092] Based on the current construction data, obtain the current electricity consumption data and construction time within the expansion range;

[0093] Based on the urban construction drawings, obtain the future facility data within the expansion range, and obtain the future electricity consumption data based on the future facility data;

[0094] Based on future electricity consumption data, current electricity consumption data and construction time, the electricity consumption data within the construction expansion range is predicted to obtain the construction expansion electricity consumption data within the construction expansion range in the future time period.

[0095] In application, taking the power grid of city Z as an example, in the expansion range, that is, 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.

[0096] 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:

[0097] Acquire power generation equipment data of the new energy power generation equipment, and obtain a standard power generation capacity of the new energy power generation equipment in a standard environment based on the power generation equipment data;

[0098] Obtain future weather data for 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;

[0099] 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;

[0100] 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;

[0101] The meteorological intensity is screened based on the upper limit and the lower limit of the meteorological intensity to obtain the target meteorological intensity and the time period corresponding to the target meteorological intensity;

[0102] Based on the target meteorological intensity, time period and standard power generation, the future power generation data of the energy generation equipment in the future unit time is calculated.

[0103] In this application, for example, the power grid in City Z is connected to a photovoltaic power plant. Data on the power generation equipment in the PV plant is obtained to determine the plant's standard power generation capacity, Q, under standard sunlight conditions. Next, three months of future weather data for the PV plant's location is obtained, and the photovoltaic power generation method is sunlight-based. Based on this method, the future weather data is filtered and found to contain 77 days of sunshine within the next three months. These 77 days are the target future weather data. Based on the power generation equipment data for the PV panels, the minimum sunlight intensity required for power generation and the maximum sunlight intensity required for full power operation are determined, representing the upper and lower limits of the meteorological intensity. Based on these upper and lower limits, the target meteorological intensity and the corresponding time period are determined. A comprehensive calculation based on this information yields the PV plant's future power generation data, P, for the next three months.

[0104] 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:

[0105] Obtaining current power information of the hybrid supercapacitor, marking the current hybrid supercapacitor as a target hybrid supercapacitor, and obtaining a chargeable capacity and a dischargeable capacity of the hybrid supercapacitor according to the current power information;

[0106] Based on the charge replenishment diagram, the charging demand and / or discharging demand of the target hybrid supercapacitor at each time point is obtained;

[0107] Determining whether the charging demand and / or discharging demand exceeds the chargeable amount and / or dischargeable amount;

[0108] If it is determined that the charging demand and / or discharging demand is greater than the chargeable amount and / or dischargeable amount, a hybrid supercapacitor other than the target hybrid supercapacitor is called upon to perform the work;

[0109] 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;

[0110] 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 take over the work.

[0111] During application, 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, it is determined that the chargeable capacity of the hybrid supercapacitor is 49% and the dischargeable capacity is 49%. Then, based on the power replenishment diagram, the charging and discharging requirements of the target hybrid supercapacitor at each time point in a day are obtained. For example, the charging demand in the morning and evening is 80%, and the discharge demand at noon and afternoon is 75%. If it is determined 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, based on the charging and discharging requirements, the charging curve and the discharge curve are obtained, and the charging curvature is further obtained as 7 and the discharge curvature is 8, both of which are greater than the preset target curvature of 5. Then, the charging curvature and the discharge curvature are adjusted, that is, other hybrid supercapacitors are called to undertake the charging and discharging work.

[0112] After the steps of obtaining 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:

[0113] 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;

[0114] Based on the reasons for power consumption and historical dates, the next possible emergency power consumption date is predicted to obtain the predicted date;

[0115] Based on the forecast date and emergency power consumption, a backup hybrid supercapacitor is selected for charging and storage;

[0116] Setting a power output threshold for the target hybrid supercapacitor and monitoring the power output of the target hybrid supercapacitor;

[0117] 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.

[0118] 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 air conditioning use, etc., the emergency power consumption is W, and based on the power consumption reasons and historical dates, the predicted date for the next possible emergency power consumption is the end of July. Then, based on 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 found to be 10.5, it is determined that an emergency power situation has occurred, and the backup hybrid supercapacitor is called to replenish the power.

[0119] After the steps of obtaining 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:

[0120] Obtaining a structural material of the hybrid supercapacitor, and obtaining a self-discharge amount of the hybrid supercapacitor per unit time based on the structural material;

[0121] According to the self-discharge amount, a charging upper limit region is set when the hybrid supercapacitor is charged, and a discharge lower limit region is set when the hybrid supercapacitor is discharged;

[0122] 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;

[0123] When the hybrid supercapacitor is charging or discharging, if the internal charge enters the charging warning zone or the discharging warning zone, the charging or discharging rate is reduced;

[0124] 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.

[0125] 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, based on the 0.1 kWh, a charging upper limit zone and a discharging lower limit zone are set inside the hybrid supercapacitor. The charging upper limit zone and the discharging lower limit zone are both 0.2 kWh when they reach the top or bottom, and a charging warning zone and a discharging warning zone of 2 kWh are set at the same time. When the charge enters the charging warning zone or the discharging warning zone during charging and discharging, that is, when the charge is higher than 98 kWh or lower than 2 kWh, the charging or discharging rate begins to be gradually reduced. When the charge and discharge amount enters the charging upper limit zone or the charging lower limit zone, that is, when the charge 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 charge of the hybrid marker capacitor does not reach 100 kWh or 0 kWh, and the trickle charging amount within one hour is 0.1 kWh, which is equal to the self-discharge amount.

[0126] An embodiment of the present invention provides a device related to power control based on a hybrid supercapacitor, using any of the above-mentioned power control methods based on a hybrid supercapacitor, and the device includes:

[0127] Historical data processing module 1: used to obtain historical power load fluctuation data of the power grid, generate a historical fluctuation curve based on the historical power load fluctuation data, and obtain a historical load supplement value based on the historical fluctuation curve;

[0128] 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;

[0129] Power grid load forecasting module 3: used to combine historical load supplement values ​​and predicted electricity consumption data to obtain future load supplement data of the power grid;

[0130] 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;

[0131] Electricity analysis module 5: used to obtain electricity difference data and electricity redundancy data based on future load replenishment data and future power generation data, sort the electricity difference data and electricity redundancy data in chronological order, and obtain an electricity replenishment diagram;

[0132] 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.

[0133] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for controlling electric quantity based on a hybrid supercapacitor, characterized in that: include: Acquiring 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; Obtaining urban development data corresponding to the power grid, and predicting urban electricity consumption based on the urban development data to obtain predicted electricity consumption data; Combining the historical load supplement value and the predicted power consumption data to obtain 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 combine the power generation equipment data and the future weather data to obtain future power generation data of the new energy power generation equipment; Obtaining power difference data and power redundancy data according to the future load replenishment data and the future power generation data, and sorting the power difference data and the power redundancy data in chronological order to obtain a power replenishment graph; Acquiring 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 map; 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 electricity load fluctuation data of electric power, sort the historical electricity 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; Overlapping and comparing the historical fluctuation curve and the historical electricity consumption curve to obtain a curve difference at each time point, and obtaining a historical load supplement value based on the curve difference; The steps of obtaining urban development data corresponding to the power grid, predicting urban electricity consumption based on the urban development data, and obtaining predicted electricity consumption data are specifically as follows: Acquire urban development data of a target city corresponding to the power grid, perform data classification on the urban development data, and obtain 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 a completed expansion scope and a construction expansion scope under construction; Based on the expanded range, extracting the expanded electricity consumption data within the expanded range; based on the construction expansion range, extracting the construction expansion electricity consumption data within the construction expansion range; 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 expansion electricity consumption data.

2. The method for controlling electric quantity based on a hybrid supercapacitor according to claim 1, 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 as follows: Based on the expansion range, obtaining urban construction drawings and current construction data within the expansion range; Based on the current construction data, obtain current electricity 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 based on 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 range is predicted to obtain the construction expansion electricity consumption data within the construction expansion range in the future time period.

3. The method for controlling electric quantity based on a hybrid supercapacitor according to claim 1, characterized in that: The steps of obtaining power generation equipment data of a new energy power generation equipment and 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 future power generation data of the new energy power generation equipment, are specifically as follows: Acquiring power generation equipment data of a new energy power generation equipment, and obtaining a standard power generation capacity of the new energy power generation equipment in a standard environment based on the power generation equipment data; Obtaining future weather data for a location of the new energy power generation equipment and a power generation method of the new energy power generation equipment, and filtering the future weather data according to the power generation method to obtain target future weather data; Based on the power generation equipment data, obtaining the upper limit and lower limit of meteorological intensity of the new energy power generation equipment during operation; 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; Filtering the meteorological intensity 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, future power generation data of the energy power generation equipment in the future unit time is calculated.

4. The method for controlling electric quantity based on a hybrid supercapacitor according to claim 3, characterized in that: The steps of obtaining 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 map are specifically as follows: Acquiring current power information of the hybrid supercapacitor, marking the current hybrid supercapacitor as a target hybrid supercapacitor, and obtaining a chargeable capacity and a dischargeable capacity of the hybrid supercapacitor according to the current power information; Based on the power replenishment map, 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 take over 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 take over the work.

5. The method for controlling electric quantity based on a hybrid supercapacitor according to claim 4, characterized in that: After the steps of obtaining 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 map, 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, predicting 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.

6. The method for controlling the amount of electricity of a hybrid supercapacitor according to claim 4, characterized in that: After the steps of obtaining 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 map, the method further includes: Obtaining a structural material of a hybrid supercapacitor, and obtaining a self-discharge amount per unit time of the hybrid supercapacitor based on the structural material; According to the self-discharge amount, a charging upper limit region is set when the hybrid supercapacitor is charged, and a discharge 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, if 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.

7. A device related to power control based on a hybrid supercapacitor, wherein the method adopts the power control method based on a hybrid supercapacitor according to any one of claims 1 to 6, characterized in that: The method comprises the following steps: A historical data processing module is used to obtain historical power load fluctuation data of the power grid, generate a historical fluctuation curve based on 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 based on the urban development data, and obtain predicted electricity consumption data; A power grid load forecasting module is configured to obtain future load supplementary data of the power grid by combining the historical load supplementary 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 configured to obtain electric quantity difference data and electric quantity redundancy data according to the future load replenishment 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 replenishment 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