High-power energy storage type lithium battery ups control method based on peak-valley regulation

Abstract

The application discloses a high-power energy storage type lithium battery UPS control method based on peak-valley regulation, relates to the technical field of lithium battery management, and comprises the following steps: obtaining a three-dimensional power supply curve of a power source to be controlled, and further obtaining an adjustable peak domain and an adjustable valley domain; using a peak cutting control method and a valley filling control method to control the power source to be controlled based on the regulation control parameters of the adjustable peak domain and the adjustable valley domain; and the application is used for solving the problem that in the prior art, the power supply control method for the UPS is short of the power consumption expectation of the power supply unit in the power supply area for the electricity price at all levels, the efficiency of the peak-valley regulation cannot be improved based on the power consumption unit most beneficial to the peak cutting and the valley filling, the reference data is single during the peak-valley regulation, and the peak-valley regulation efficiency is too slow.

Description

Technical Field

[0001] This invention relates to the field of lithium battery management technology, specifically to a high-power energy storage lithium battery UPS control method based on peak-valley regulation. Background Technology

[0002] High-power energy storage lithium battery UPS is a UPS device that uses a large-capacity lithium battery as the energy storage core to meet the demand for high-power uninterrupted power supply. Compared with traditional lead-acid UPS, it has significant advantages in energy density, lifespan and response speed. It is mainly aimed at high-reliability and high-power scenarios such as data centers, industrial production lines, power grid side, and large venues.

[0003] Existing methods for high-power energy storage lithium-ion UPS systems typically combine DC / AC modules with energy storage battery clusters. By regulating and controlling multiple DC / AC modules, individual control of the energy storage battery clusters is achieved while simultaneously balancing energy among them, thus improving the system's output current waveform. While this improved method provides effective and stable control of the battery system, it lacks a method for controlling UPS power supply based on the electricity consumption expectations of power supply units within the power supply area at various electricity prices. This results in an inability to improve peak-valley regulation efficiency based on the most favorable electricity consumption units for peak shaving and valley filling, leading to a single reference data for peak-valley regulation, slow peak-valley regulation efficiency, and consequently, reduced battery life and power supply reliability. For example, patent CN114844081A discloses... The battery energy storage system and its control methods and devices, energy storage UPS system and central controller, this solution uses multiple DC / AC module outputs to alternately connect in parallel, which effectively increases the system's switching frequency, improves the system's dynamic response, and significantly improves the system's output current waveform. However, other improvements to the control methods for high-power energy storage lithium battery UPS usually use load demand and power supply duration as peak-valley adjustment standards. There is still a lack of methods to control the UPS power supply based on the electricity consumption expectations of power supply units in the power supply area for each level of electricity price. This results in the inability to improve the efficiency of peak-valley adjustment based on the most favorable power consumption units for peak shaving and valley filling. As a result, the reference data for peak-valley adjustment is single, the peak-valley adjustment efficiency is too slow, and the battery life and power supply reliability are reduced. In view of this, it is necessary to improve the existing control methods for high-power energy storage lithium battery UPS. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in the prior art by proposing a high-power energy storage lithium battery UPS control method based on peak-valley regulation. This method addresses the lack of a method for controlling the UPS power supply based on the electricity consumption expectations of power supply units within the power supply area at various electricity prices. This results in the inability to improve the efficiency of peak-valley regulation based on the most favorable electricity consumption units for peak shaving and valley filling, leading to a single reference data for peak-valley regulation, slow peak-valley regulation efficiency, and consequently, reduced battery life and power supply reliability.

[0005] To achieve the above objectives, this application provides a control method for a high-power energy storage lithium-ion battery UPS based on peak-valley regulation, comprising the following steps:

[0006] The high-power energy storage lithium battery UPS used for control is denoted as the power supply to be controlled; the area where the load of the power supply to be controlled is located is denoted as the power supply area; based on the electricity price in the power supply area and the power supply data of the power supply to be controlled, the three-dimensional power supply curve corresponding to the power supply to be controlled is obtained.

[0007] Based on the historical power supply data of the power supply under control and the method of obtaining the three-dimensional power supply curve, the adjustable peak range and adjustable valley range of the power supply under control are obtained; the adjustment control parameters of the adjustable peak range and adjustable valley range are obtained respectively.

[0008] Based on the adjustable peak and valley control parameters, a peak-shaving control method and a valley-filling control method are obtained for the power supply to be controlled; the power supply to be controlled in operation is then controlled based on the peak-shaving control method and the valley-filling control method.

[0009] Furthermore, based on the electricity price within the power supply area and the power supply data of the power source to be controlled, the three-dimensional power supply curve corresponding to the power source to be controlled is obtained, including:

[0010] Based on the power supply planning of enterprise UPS, community UPS, and park UPS within the power supply area, the enterprises, communities, and parks within the power supply area that are powered by the uncontrolled power source are sequentially denoted as power supply units GD1 to GD. t ;

[0011] For any power supply unit: obtain the data corresponding to all electricity consumption of the power supply unit supplied by the controlled power source, and record all the electricity consumption data in sequence as daily electricity consumption data DY1 to daily electricity consumption data DY. n .

[0012] Furthermore, based on the electricity price within the power supply area and the power supply data of the power source to be controlled, obtaining the three-dimensional power supply curve corresponding to the power source to be controlled also includes:

[0013] For any single-day electricity consumption data, establish a Cartesian coordinate system, denoted as the electricity consumption expectation analysis coordinate system. The units of the X-axis and Y-axis of the electricity consumption expectation coordinate system are kW×h and price, respectively. Based on the electricity consumption corresponding to each electricity price in the single-day electricity consumption data, plot the relationship curve between electricity consumption and price in the electricity consumption expectation coordinate system, denoted as the single-day electricity consumption curve. The x-axis corresponding to the rightmost point of the single-day electricity consumption curve is the highest electricity price in the power supply area.

[0014] For any electricity price α within the power supply area, the ordinate corresponding to the point on the daily electricity consumption curve with the horizontal axis of electricity price α is marked as the expected electricity consumption value; the sum of the expected electricity consumption values ​​of all electricity prices is recorded as the daily expected total value, and the value of dividing the expected electricity consumption value of electricity price α by the daily expected total value is recorded as the daily expected value of electricity price α.

[0015] Furthermore, based on the electricity price within the power supply area and the power supply data of the power source to be controlled, obtaining the three-dimensional power supply curve corresponding to the power source to be controlled also includes:

[0016] Obtain the daily expected value of electricity price α from all daily electricity consumption data, and record the average of all daily expected values ​​of electricity price α as the electricity consumption expected value of the power supply unit and electricity price α;

[0017] Obtain the expected electricity consumption values ​​for all power supply units and all electricity prices.

[0018] Furthermore, based on the electricity price within the power supply area and the power supply data of the power source to be controlled, obtaining the three-dimensional power supply curve corresponding to the power source to be controlled also includes:

[0019] For the power supply data of any day when the power supply to be controlled is in operation: establish a spatial coordinate system and denote it as the power supply analysis coordinate system, where the units of the X-axis, Y-axis and Z-axis of the power supply analysis coordinate system are h, kW and price, respectively; based on the power-time relationship data in the power supply data, plot the power-time relationship curve in the XY plane of the power supply analysis coordinate system and denote it as the daily power supply curve;

[0020] For any point β(X1, Y1, 0) on the daily power supply curve, obtain the electricity price of all power supply units at time X1 in the power supply data, and record the average of all electricity prices as the longitudinal parameter of point β; record the point (X1, Y1, longitudinal parameter) as the three-dimensional power supply point of point β; uniformly obtain k points within the daily power supply curve, and record the curve obtained by fitting the k three-dimensional power supply points corresponding to the k points as the three-dimensional power supply curve of the power supply data.

[0021] Furthermore, obtaining the adjustable peak and adjustable valley regions of the power supply to be controlled includes:

[0022] Acquire historical power supply data of the power supply to be controlled, and divide the historical power supply data into historical daily data LD1 to historical daily data LD2, on a daily basis. m Based on the method of obtaining the three-dimensional power supply curve, the three-dimensional power supply curve corresponding to each historical single-day data is obtained sequentially.

[0023] Within the power supply analysis coordinate system, the surface obtained by fitting the three-dimensional power supply curves corresponding to all historical daily data is denoted as the adjustment analysis surface, and the curve obtained by fitting the three-dimensional power supply curves corresponding to all historical daily data is denoted as the adjustment analysis curve. The adjustment analysis curve is fitted into a line segment, and the ordinate corresponding to the midpoint of the line segment is marked as the mean power.

[0024] Furthermore, obtaining the adjustable peak and adjustable valley regions of the power supply to be controlled also includes:

[0025] Obtain all peaks and valleys in the adjustment analysis curve; for any peak or valley, the closed interval formed by the minimum and maximum Z-axis coordinates of all points with X2 in the adjustment analysis surface is denoted as the price range of the peak or valley.

[0026] The price range of all peak points is denoted as the adjustable peak range of the power supply to be controlled, and the price range of all valley points is denoted as the adjustable valley range of the power supply to be controlled.

[0027] Furthermore, the adjustment control parameters for the adjustable peak and adjustable valley regions are obtained separately, including:

[0028] For any peak point corresponding to the horizontal coordinate X2, the power supply units that are continuously powered by the controlled power supply at time X2 in all historical single-day data are recorded as the basic power consumption units of X2; the power supply units that are not continuously powered by the controlled power supply at time X2 in all historical single-day data are recorded as invalid power supply units of X2; and the power supply units that are not recorded as basic power consumption units or invalid power supply units are recorded as fluctuating power supply units of X2.

[0029] The electricity price existing in the price range of the peak point corresponding to X2 is recorded as the peak point price. When all electricity prices are not in the price range of the peak point, the electricity price with the smallest absolute value of the difference with T is recorded as the peak point price, and T is the median of the price range of the peak point. For any fluctuating power supply unit of X2, the maximum value of the expected electricity consumption of the fluctuating power supply unit and all peak point prices is recorded as the maximum expected value of the fluctuating power supply unit and X2.

[0030] The maximum expected value of the basic power consumption unit, invalid power supply unit, fluctuating power supply unit, and fluctuating power supply unit relative to the horizontal coordinate of the peak point is denoted as the adjustment control parameter corresponding to the adjustable peak range of the power supply to be controlled.

[0031] Based on the method of obtaining the adjustment control parameters corresponding to the adjustable peak region, the basic power consumption unit, invalid power supply unit, fluctuating power supply unit, and the maximum expected value of the horizontal coordinate of the fluctuating power supply unit and the peak point of all valley points are obtained and recorded as the adjustment control parameters corresponding to the adjustable valley region of the power supply to be controlled.

[0032] Furthermore, peak shaving control methods include:

[0033] For any peak point in the adjustment analysis curve, corresponding to the horizontal coordinate X2, when the running time of the power supply to be controlled is at X2, power is continuously supplied to all basic power consumption units at the peak point, and the power supply path to all invalid power supply units at the peak point is shut off.

[0034] Sort all fluctuating power supply units at the peak point and the maximum expectation of X2 from largest to smallest, and record the fluctuating power supply units corresponding to the maximum expectations after sorting as the first power supply unit to the pth power supply unit, where p is the number of fluctuating power supply units;

[0035] The power consumption priority of the controlled power source to all fluctuating power supply units is adjusted to the first to the pth power supply units until the power of the controlled power source is the average of the average power and Y2, at which point the peak shaving control method is stopped, where Y2 is the ordinate of the peak point.

[0036] Furthermore, valley filling control methods include:

[0037] For any valley point in the adjustment analysis curve, corresponding to the horizontal coordinate X2, when the running time of the power supply to be controlled is at X2, power is continuously supplied to all basic power consumption units at the valley point, and the power supply path to all invalid power supply units at the valley point is continuously opened.

[0038] Sort all fluctuating power supply units at the valley point and the maximum expected value of X2 from largest to smallest, and record the fluctuating power supply units corresponding to the maximum expected value after sorting as the first power supply unit to the pth power supply unit in sequence.

[0039] Based on the order of the first power supply unit to the pth power supply unit, the electricity price of the controlled power source to all fluctuating power supply units is reduced by one level in turn until the power of the controlled power source is the average of the average power and Y2, at which point the valley filling control method is stopped.

[0040] The beneficial effects of this invention are as follows: First, based on the electricity price within the power supply area and the power supply data of the power supply to be controlled, this application obtains the three-dimensional power supply curve corresponding to the power supply to be controlled; then, based on the historical power supply data of the power supply to be controlled and the method of obtaining the three-dimensional power supply curve, the adjustable peak range and adjustable valley range of the power supply to be controlled are obtained. The advantage of this is that by obtaining the three-dimensional power supply curve of the power supply to be controlled, the relationship curve between the power supply data and the electricity price of the power supply to be controlled can be obtained. After further obtaining the adjustable peak range and adjustable valley range, the electricity price corresponding to the peak and valley in the three-dimensional power supply curve can be effectively obtained, so that the electricity consumption unit most conducive to peak shaving and valley filling can be obtained during peak and valley adjustment based on the electricity consumption expectations of all power supply units in the power supply area for each level of electricity price, thereby improving the efficiency of peak and valley adjustment more comprehensively.

[0041] This application also obtains the adjustment control parameters for adjustable peak and valley regions respectively; based on the adjustment control parameters for adjustable peak and valley regions, it obtains peak shaving control methods and valley filling control methods for the power supply under control; finally, it controls the power supply under control in operation based on the peak shaving control methods and valley filling control methods. The advantage of this is that by obtaining the adjustment control parameters for adjustable peak and valley regions, data of adjustable peak and valley regions can be refined, thereby improving the execution efficiency of the peak shaving control methods and valley filling control methods in the subsequent execution, and further improving the peak-valley adjustment efficiency of the UPS when it is in peak and valley conditions, avoiding the problem of reduced battery life and power supply reliability due to slow peak-valley adjustment efficiency. Attached Figure Description

[0042] Figure 1 This is a flowchart illustrating the steps of the method of the present invention;

[0043] Figure 2 This is a schematic diagram of the daily electricity consumption curve of the present invention;

[0044] Figure 3 This is a schematic diagram of the electronic device of the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] Example 1, please refer to Figure 1 As shown, this application provides a control method for a high-power energy storage lithium-ion UPS based on peak-valley regulation, including the following steps:

[0047] Step S1: The high-power energy storage lithium battery UPS used for control is denoted as the power supply to be controlled; the area where the load of the power supply to be controlled is located is denoted as the power supply area; based on the electricity price in the power supply area and the power supply data of the power supply to be controlled, the three-dimensional power supply curve corresponding to the power supply to be controlled is obtained.

[0048] Step S1 includes: Step S101, based on the power supply planning of enterprise UPS, community UPS and park UPS within the power supply area, the enterprises, communities and parks within the power supply area that are powered by the power supply to be controlled are sequentially denoted as power supply units GD1 to GD. t ;

[0049] Step S102, for any power supply unit: obtain the data corresponding to all the electricity consumption of the power supply unit supplied by the controlled power source, and record all the electricity consumption data in sequence as daily electricity consumption data DY1 to daily electricity consumption data DY. n .

[0050] Step S1 further includes: Step S103, for any single-day electricity consumption data, establish a Cartesian coordinate system and denot it as the electricity consumption expectation analysis coordinate system, wherein the units of the X-axis and Y-axis of the electricity consumption expectation coordinate system are kW×h and price, respectively; based on the electricity consumption corresponding to each electricity price in the single-day electricity consumption data, draw the relationship curve between electricity consumption and price in the electricity consumption expectation coordinate system and denot it as the single-day electricity consumption curve, wherein the abscissa corresponding to the rightmost point of the single-day electricity consumption curve is the highest electricity price in the power supply area;

[0051] Step S104: For any electricity price α in the power supply area, mark the ordinate corresponding to the point with the horizontal axis of electricity price α in the daily electricity consumption curve as the expected value of electricity consumption; record the sum of the expected values ​​of electricity consumption for all electricity prices as the daily expected total value, and record the value of the expected value of electricity consumption for electricity price α divided by the daily expected total value as the daily expected value of electricity price α.

[0052] In practice, the price is expressed in yuan / kW×h. For example, during a data analysis process, the relationship curve between electricity consumption and price might look like this: Figure 2As shown by curve DD, analysis of curve DD reveals that the maximum electricity price within the power supply area is 1.0695, and this maximum value occurs when the electricity consumption is 19000 kW×h. Furthermore, for an electricity price of 1.0695, calculations show that the expected total daily value is 43000 kW×h. Dividing 19000 by 43000 yields an expected daily value of approximately 0.44 for an electricity price of 1.0695. A higher expected daily value for an electricity price indicates that the power supply unit is more likely to use this price level within the corresponding day's electricity consumption data. For example, the expected daily value of approximately 0.44 for an electricity price of 1.0695 is the highest among all expected daily values ​​for all prices, indicating that the electricity unit consumes a large amount of electricity within this day and is more inclined to use an electricity price of 1.0695.

[0053] Step S1 further includes: Step S105, obtaining the daily expected value of electricity price α from all daily electricity consumption data, and recording the average of all daily expected values ​​of electricity price α as the electricity consumption expected value of the power supply unit and electricity price α;

[0054] Obtain the expected electricity consumption values ​​for all power supply units and all electricity prices;

[0055] In the specific implementation process, by obtaining the expected electricity consumption values ​​of all power supply units and all electricity prices, we can obtain the expected consumption of each power supply unit under the control of the power source and for each electricity price. This will facilitate the selection of the most suitable power supply unit for peak shaving and valley filling for different peak prices in subsequent analysis, thereby improving the peak-valley regulation efficiency.

[0056] Step S1 further includes: Step S106, for the power supply data of any day when the power supply to be controlled is in operation: establish a spatial coordinate system and denot it as the power supply analysis coordinate system, wherein the units of the X-axis, Y-axis and Z-axis of the power supply analysis coordinate system are h, kW and price, respectively; based on the power-time relationship data in the power supply data, draw the power-time relationship curve in the XY plane of the power supply analysis coordinate system and denot it as the daily power supply curve;

[0057] Step S107: For any point β(X1, Y1, 0) on the daily power supply curve, obtain the electricity price of all power supply units at time X1 in the power supply data, and record the average of all electricity prices as the vertical parameter of point β; record the point (X1, Y1, vertical parameter) as the three-dimensional power supply point of point β; uniformly obtain k points in the daily power supply curve, and record the curve obtained by fitting the k three-dimensional power supply points corresponding to the k points as the three-dimensional power supply curve of the power supply data;

[0058] In the data analysis of this embodiment, for example, after a data acquisition, a point in the daily power supply curve is (6h, 4000kW, 0), and the average electricity price of all power supply units at this time is 0.8909. Then, the point (6h, 4000kW, 0.8909) can be used as the three-dimensional power supply point. By obtaining the three-dimensional power supply curve obtained by fitting the three-dimensional power supply point, the output power of the power supply under control during a day and the electricity price at each time period can be effectively integrated to provide more effective data support for subsequent peak-valley regulation.

[0059] Step S2: Based on the historical power supply data of the power supply under control and the method of obtaining the three-dimensional power supply curve, obtain the adjustable peak range and adjustable valley range of the power supply under control; obtain the adjustment control parameters of the adjustable peak range and adjustable valley range respectively.

[0060] Step S2 includes: Step S201, acquiring historical power supply data of the power supply to be controlled, and dividing the historical power supply data into historical daily data LD1 to historical daily data LD1 on a daily basis. m Based on the method of obtaining the three-dimensional power supply curve, the three-dimensional power supply curve corresponding to each historical single-day data is obtained sequentially.

[0061] Step S202: In the power supply analysis coordinate system, the surface obtained by fitting the three-dimensional power supply curves corresponding to all historical single-day data is denoted as the adjustment analysis surface, and the curve obtained by fitting the three-dimensional power supply curves corresponding to all historical single-day data is denoted as the adjustment analysis curve; the adjustment analysis curve is fitted into a line segment, and the ordinate corresponding to the midpoint of the line segment is marked as the mean power.

[0062] Step S2 also includes: Step S203, obtaining all peaks and valleys in the adjustment analysis curve; for any peak or valley point, the closed interval formed by the minimum and maximum values ​​of the Z-axis coordinates among all points with X2 in the adjustment analysis surface is recorded as the price range of the peak or valley point.

[0063] In the data analysis of this embodiment, for example, after acquiring the historical power supply data of the power supply under control, a peak point in the obtained adjustment analysis curve is (6h, 4000kW, 0.8909). Furthermore, in the curve corresponding to the horizontal coordinate of 6h within the adjustment analysis surface, the maximum and minimum values ​​of the Z-axis coordinate are 1.0695 and 0.8, respectively. Therefore, [0.8, 1.0695] can be recorded as the price range of the peak point. By obtaining the price range of the peak point, we can obtain the electricity price that all power supply units tend to accept when the output power of the power supply under control is at its peak for 6 hours. This allows us to analyze the adjustable power supply units based on the expected electricity consumption values ​​of all power supply units and the electricity price range [0.8, 1.0695] during subsequent peak-valley adjustment, ensuring accurate and effective allocation of the output power of the power supply under control and achieving efficient peak-valley adjustment. The analysis principle for valley points is the same as for peak points.

[0064] Step S204: Record the price range of all peak points as the adjustable peak range of the power supply to be controlled, and record the price range of all valley points as the adjustable valley range of the power supply to be controlled.

[0065] Step S2 further includes: Step S205, for any peak point corresponding to the horizontal coordinate X2, record the power supply units that are continuously powered by the controlled power supply at time X2 in all historical single-day data as the basic power consumption units of X2; record the power supply units that are not continuously powered by the controlled power supply at time X2 in all historical single-day data as invalid power supply units of X2; record the power supply units that are not recorded as basic power consumption units or invalid power supply units as fluctuating power supply units of X2;

[0066] In the specific implementation process, basic power users and invalid power supply users are defined as power users whose power demand must be met and power users whose power demand does not need to be met when the controlled power source allocates power, respectively. Therefore, in subsequent peak-valley regulation, the power demand of basic power users must be continuously met. For invalid power supply users, power supply can be stopped when the output power of the controlled power source is at its peak to perform peak shaving, and power supply can be turned on when the output power is at its valley value to perform valley filling. In addition, for fluctuating power supply users, the power supply of fluctuating power supply users can be controlled by obtaining the maximum expected value of the electricity price corresponding to the fluctuating power supply user at different times, so as to perform more efficient peak shaving and valley filling, thereby improving the efficiency of peak-valley regulation.

[0067] Step S206: Record the electricity price that exists in the price range of the peak point corresponding to X2 as the peak point electricity price. When all electricity prices are not in the price range of the peak point, record the electricity price with the smallest absolute value of the difference with T as the peak point electricity price. T is the median of the price range of the peak point. For any fluctuating power supply unit of X2, record the maximum value of the expected electricity consumption of the fluctuating power supply unit and all peak point electricity prices as the maximum expected value of the fluctuating power supply unit and X2.

[0068] In the data analysis of this embodiment, for example, if the horizontal coordinate of the peak point is 6h in a single data analysis, the price range of the peak point corresponding to 6h can be obtained from the above analysis as [0.8, 1.0695]. Figure 2 From all the electricity prices on the horizontal axis, we can see that the electricity price in [0.8, 1.0695] is 1.0695, which is the peak electricity price. Since there is only one peak electricity price at this time, we can directly denote 1.0695 as the maximum expected value of the fluctuating power supply unit and 6 hours.

[0069] If, in another analysis, the peak electricity prices obtained are 0.8909 and 1.0695, then the expected electricity consumption values ​​of the fluctuating power supply unit with 0.8909 and 1.0695 can be compared, and the electricity price corresponding to the largest expected electricity consumption value after comparison can be recorded as the maximum expected electricity consumption value of the fluctuating power supply unit over 6 hours. For example, if the expected electricity consumption values ​​of the fluctuating power supply unit with 0.8909 and 1.0695 are 0.31 and 0.44 respectively, it means that, considering the actual electricity consumption, the fluctuating power supply unit prefers the electricity price of 1.0695, so 1.0695 can be taken as the maximum expected electricity consumption value of the fluctuating power supply unit over 6 hours.

[0070] Step S207: Record the basic power consumption unit, invalid power supply unit, fluctuating power supply unit, and the maximum expected value of the horizontal coordinate of the fluctuating power supply unit and the peak point for all peak points as the adjustment control parameter corresponding to the adjustable peak range of the power supply to be controlled.

[0071] Step S208: Based on the method of obtaining the adjustment control parameters corresponding to the adjustable peak region, obtain the basic power consumption unit, invalid power supply unit, fluctuating power supply unit, and the maximum expected value of the horizontal coordinate of the fluctuating power supply unit and the peak point for all valley points, and record them as the adjustment control parameters corresponding to the adjustable valley region of the power supply to be controlled.

[0072] Step S3: Based on the adjustable peak and valley control parameters, obtain the peak shaving control method and valley filling control method of the power supply to be controlled; control the power supply to be controlled in operation based on the peak shaving control method and valley filling control method.

[0073] Step S301, the peak shaving control method includes: Step S3012, for any peak point in the adjustment analysis curve, when the running time of the power supply to be controlled is at X2, continuously supply power to all basic power consumption units of the peak point, and shut down the power supply path to all invalid power supply units of the peak point.

[0074] Step S3013: Sort all the fluctuating power supply units at the peak point and the maximum expectation of X2 from largest to smallest, and record the fluctuating power supply units corresponding to the maximum expectations after sorting as the first power supply unit to the pth power supply unit, where p is the number of fluctuating power supply units;

[0075] Step S3014: Adjust the power consumption priority of the controlled power supply to all fluctuating power supply units to the first power supply unit to the pth power supply unit, until the power of the controlled power supply is the average of the average power and Y2, and then stop the peak shaving control method, where Y2 is the ordinate of the peak point;

[0076] In the specific implementation process, for example, when analyzing the peak point with a time period of 6 hours, the larger the fluctuation of the power supply unit at the peak point and the maximum expectation of 6 hours, the greater the electricity price that the fluctuation of the power supply unit tends to be, that is, the greater the electricity demand of the fluctuation of the power supply unit. Therefore, the power supply unit should be given priority.

[0077] Step S302, the valley filling control method includes: Step S3021, for any valley point in the adjustment analysis curve, corresponding to the horizontal coordinate X2, when the running time of the power supply to be controlled is at X2, continuously supply power to all basic power consumption units at the valley point, and continuously open the power supply path to all invalid power supply units at the valley point.

[0078] Step S3022: Sort all the fluctuating power supply units of the valley point and the maximum expectation of X2 from largest to smallest, and record the fluctuating power supply units corresponding to the maximum expectations after sorting as the first power supply unit to the p-th power supply unit.

[0079] Step S3023: Based on the order of the first power supply unit to the p-th power supply unit, the electricity price of the power supply to be controlled for all fluctuating power supply units is reduced by one level in turn until the power of the power supply to be controlled is the average of the average power and Y2, and then the valley filling control method is stopped.

[0080] In the specific implementation process, by successively reducing the electricity price of all fluctuating power supply units by one level, the electricity consumption tendency of fluctuating power consumption units can be increased, that is, the lower the price, the greater the electricity consumption tendency. In the analysis of this embodiment, in both the peak shaving control method and the valley filling control method, the average power is used as the judgment condition for the method to stop. The judgment condition for the method to stop corresponding to the peak shaving control method and the valley filling control method can be set in accordance with the actual scenario according to the needs of peak and valley regulation in actual application.

[0081] Example 2, please refer to Figure 3 As shown, Figure 3A schematic diagram of an electronic device is provided, which may include a processor, a communication interface, a memory, and a communication bus. The processor, communication interface, and memory communicate with each other via the communication bus. The memory stores computer-readable instructions, and the processor can call these instructions. When the processor executes a computer-readable instruction, it performs steps such as those in a high-power energy storage lithium-ion UPS control method based on peak-valley regulation to achieve the following functions: First, based on the electricity price in the power supply area and the power supply data of the power supply to be controlled, a three-dimensional power supply curve corresponding to the power supply to be controlled is obtained; then, based on the historical power supply data of the power supply to be controlled and the method of obtaining the three-dimensional power supply curve, the adjustable peak range and adjustable valley range of the power supply to be controlled are obtained; the adjustment control parameters for the adjustable peak range and adjustable valley range are obtained respectively; finally, based on the adjustment control parameters for the adjustable peak range and adjustable valley range, a peak-shaving control method and a valley-filling control method for the power supply to be controlled are obtained; and the power supply to be controlled in operation is controlled based on the peak-shaving control method and the valley-filling control method.

[0082] Furthermore, when the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0083] Example 3: This application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the high-power energy storage lithium battery UPS control method based on peak-valley regulation provided by the above methods. The method includes: first, obtaining a three-dimensional power supply curve corresponding to the power supply under control based on the electricity price in the power supply area and the power supply data of the power supply under control; then, obtaining the adjustable peak range and adjustable valley range of the power supply under control based on the historical power supply data of the power supply under control and the method of obtaining the three-dimensional power supply curve; obtaining the adjustment control parameters of the adjustable peak range and adjustable valley range respectively; finally, obtaining the peak shaving control method and valley filling control method of the power supply under control based on the adjustment control parameters of the adjustable peak range and adjustable valley range; and controlling the power supply under control in the operating state based on the peak shaving control method and valley filling control method.

[0084] Example 4: This application also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it performs the steps of the above-mentioned high-power energy storage lithium-ion UPS control method based on peak-valley regulation to achieve the following functions: First, based on the electricity price in the power supply area and the power supply data of the power supply to be controlled, a three-dimensional power supply curve corresponding to the power supply to be controlled is obtained; then, based on the historical power supply data of the power supply to be controlled and the method of obtaining the three-dimensional power supply curve, the adjustable peak range and adjustable valley range of the power supply to be controlled are obtained; the adjustment control parameters of the adjustable peak range and the adjustable valley range are obtained respectively; finally, based on the adjustment control parameters of the adjustable peak range and the adjustable valley range, a peak shaving control method and a valley filling control method of the power supply to be controlled are obtained; and the power supply to be controlled in operation is controlled based on the peak shaving control method and the valley filling control method.

[0085] Based on the above description of the embodiments, the embodiments of the present invention can be provided as methods, systems, or computer program products. Based on this understanding, the above technical solutions, in essence or in terms of their contribution to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or certain parts of the embodiments.

[0086] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces. The indirect coupling or communication connection between systems, modules, and units may be electrical, mechanical, or other forms.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A control method for high-power energy storage lithium-ion battery UPS based on peak-valley regulation, characterized in that, Includes the following steps: The high-power energy storage lithium-ion UPS used for control is denoted as the power supply to be controlled; the area where the load of the power supply to be controlled is located is denoted as the power supply area; based on the electricity price in the power supply area and the power supply data of the power supply to be controlled, the three-dimensional power supply curve corresponding to the power supply to be controlled is obtained; for the power supply data of any day when the power supply to be controlled is in operation: establish a spatial coordinate system and denot it as the power supply analysis coordinate system, wherein the units of the X-axis, Y-axis and Z-axis of the power supply analysis coordinate system are h, kW and price, respectively; Based on the historical power supply data and the method of obtaining the three-dimensional power supply curve, the adjustable peak and valley regions of the power supply are obtained. The adjustment control parameters of the adjustable peak and valley regions are obtained respectively. In the power supply analysis coordinate system, the surface obtained by fitting the three-dimensional power supply curve corresponding to all historical daily data is recorded as the adjustment analysis surface, and the curve obtained by fitting the three-dimensional power supply curve corresponding to all historical daily data is recorded as the adjustment analysis curve. The adjustment analysis curve is fitted into a line segment, and the ordinate corresponding to the midpoint of the line segment is marked as the mean power. All peak points and all valley points in the adjustment analysis curve are obtained. For any peak point or valley point, the closed interval formed by the minimum and maximum Z-axis coordinates of all points with X2 in the adjustment analysis surface is recorded as the price range of the peak point or valley point. The price range of all peak points is recorded as the adjustable peak region of the power supply, and the price range of all valley points is recorded as the adjustable valley region of the power supply. Based on the adjustable peak and valley control parameters, a peak-shaving control method and a valley-filling control method are obtained for the power supply under control; the power supply under control in operation is controlled based on the peak-shaving control method and the valley-filling control method. The adjustment control parameters for the adjustable peak and adjustable valley regions are obtained separately, including: For any peak point corresponding to the horizontal coordinate X2, the power supply units that are continuously powered by the controlled power supply at time X2 in all historical single-day data are recorded as the basic power consumption units of X2; the power supply units that are not continuously powered by the controlled power supply at time X2 in all historical single-day data are recorded as invalid power supply units of X2; and the power supply units that are not recorded as basic power consumption units or invalid power supply units are recorded as fluctuating power supply units of X2. The electricity price existing in the price range of the peak point corresponding to X2 is recorded as the peak point price. When all electricity prices are not in the price range of the peak point, the electricity price with the smallest absolute value of the difference with T is recorded as the peak point price, and T is the median of the price range of the peak point. For any fluctuating power supply unit of X2, the maximum value of the expected electricity consumption of the fluctuating power supply unit and all peak point prices is recorded as the maximum expected value of the fluctuating power supply unit and X2. The maximum expected value of the basic power consumption unit, invalid power supply unit, fluctuating power supply unit, and fluctuating power supply unit relative to the horizontal coordinate of the peak point is denoted as the adjustment control parameter corresponding to the adjustable peak range of the power supply to be controlled. Based on the method of obtaining the adjustment control parameters corresponding to the adjustable peak region, the basic power consumption unit, invalid power supply unit, fluctuating power supply unit, and the maximum expected value of the horizontal coordinate of the fluctuating power supply unit and the valley point of all valley points are obtained and recorded as the adjustment control parameters corresponding to the adjustable valley region of the power supply to be controlled. Peak shaving control methods include: For any peak point in the adjustment analysis curve, corresponding to the horizontal coordinate X2, when the running time of the power supply to be controlled is at X2, power is continuously supplied to all basic power consumption units at the peak point, and the power supply path to all invalid power supply units at the peak point is shut off. Sort all fluctuating power supply units at the peak point and the maximum expectation of X2 from largest to smallest, and record the fluctuating power supply units corresponding to the maximum expectations after sorting as the first power supply unit to the pth power supply unit, where p is the number of fluctuating power supply units; The power consumption priority of the controlled power source to all fluctuating power supply units is adjusted to the first power supply unit to the pth power supply unit until the power of the controlled power source is the average of the average power and Y2, at which point the peak shaving control method is stopped. Here, Y2 is the ordinate of the peak point. Valley filling control methods include: For any valley point in the adjustment analysis curve, corresponding to the horizontal coordinate X2, when the running time of the power supply to be controlled is at X2, power is continuously supplied to all basic power consumption units at the valley point, and the power supply path to all invalid power supply units at the valley point is continuously opened. Sort all fluctuating power supply units at the valley point and the maximum expected value of X2 from largest to smallest, and record the fluctuating power supply units corresponding to the maximum expected value after sorting as the first power supply unit to the pth power supply unit in sequence. Based on the order of the first power supply unit to the pth power supply unit, the electricity price of the controlled power source to all fluctuating power supply units is reduced by one level in turn until the power of the controlled power source is the average of the average power and Y2, at which point the valley filling control method is stopped.

2. The high-power energy storage lithium-ion UPS control method based on peak-valley regulation according to claim 1, characterized in that, Based on the electricity price within the power supply area and the power supply data of the power source to be controlled, the three-dimensional power supply curve corresponding to the power source to be controlled is obtained, including: Based on the power supply planning of enterprise UPS, community UPS, and park UPS within the power supply area, the enterprises, communities, and parks within the power supply area that are powered by the uncontrolled power source are sequentially denoted as power supply units GD1 to GD. t ; For any power supply unit: obtain the data corresponding to all electricity consumption of the power supply unit supplied by the controlled power source, and record all the electricity consumption data in sequence as daily electricity consumption data DY1 to daily electricity consumption data DY. n .

3. The high-power energy storage lithium battery UPS control method based on peak-valley regulation according to claim 2, characterized in that, Based on the electricity price within the power supply area and the power supply data of the power source to be controlled, obtaining the three-dimensional power supply curve corresponding to the power source to be controlled also includes: For any single-day electricity consumption data, establish a Cartesian coordinate system, denoted as the electricity consumption expectation analysis coordinate system. The units of the X-axis and Y-axis of the electricity consumption expectation coordinate system are kW×h and price, respectively. Based on the electricity consumption corresponding to each electricity price in the single-day electricity consumption data, plot the relationship curve between electricity consumption and price in the electricity consumption expectation coordinate system, denoted as the single-day electricity consumption curve. The x-axis corresponding to the rightmost point of the single-day electricity consumption curve is the highest electricity price in the power supply area. For any electricity price α within the power supply area, the ordinate corresponding to the point on the daily electricity consumption curve with the horizontal axis of electricity price α is marked as the expected electricity consumption value; the sum of the expected electricity consumption values ​​of all electricity prices is recorded as the daily expected total value, and the value of dividing the expected electricity consumption value of electricity price α by the daily expected total value is recorded as the daily expected value of electricity price α.

4. The high-power energy storage lithium battery UPS control method based on peak-valley regulation according to claim 3, characterized in that, Based on the electricity price within the power supply area and the power supply data of the power source to be controlled, obtaining the three-dimensional power supply curve corresponding to the power source to be controlled also includes: Obtain the daily expected value of electricity price α from all daily electricity consumption data, and record the average of all daily expected values ​​of electricity price α as the electricity consumption expected value of the power supply unit and electricity price α; Obtain the expected electricity consumption values ​​for all power supply units and all electricity prices.

5. The high-power energy storage lithium-ion UPS control method based on peak-valley regulation according to claim 4, characterized in that, Based on the electricity price within the power supply area and the power supply data of the power source to be controlled, obtaining the three-dimensional power supply curve corresponding to the power source to be controlled also includes: Based on the power-time relationship data in the power supply data, the power-time relationship curve is plotted in the XY plane of the power supply analysis coordinate system and recorded as the daily power supply curve. For any point β(X1, Y1, 0) on the daily power supply curve, obtain the electricity price of all power supply units at time X1 in the power supply data, and record the average of all electricity prices as the longitudinal parameter of point β; record the point (X1, Y1, longitudinal parameter) as the three-dimensional power supply point of point β; uniformly obtain k points within the daily power supply curve, and record the curve obtained by fitting the k three-dimensional power supply points corresponding to the k points as the three-dimensional power supply curve of the power supply data.

6. The high-power energy storage lithium-ion UPS control method based on peak-valley regulation according to claim 5, characterized in that, Obtaining the adjustable peak and adjustable valley regions of the power supply to be controlled includes: Acquire historical power supply data of the power supply to be controlled, and divide the historical power supply data into historical daily data LD1 to historical daily data LD2, on a daily basis. m Based on the method of obtaining the three-dimensional power supply curve, the three-dimensional power supply curve corresponding to each historical single-day data is obtained sequentially.

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