A method and device for load control

Abstract

The present invention is applicable to the technical field of new energy, and provides a method and device for load regulation, wherein the method for load regulation includes: collecting real-time microgrid load, electric energy storage capacity of energy storage module and real-time power generation; calculating the electric energy consumption within a preset time period according to the real-time microgrid load; regulating the power generation module, energy storage module and / or main grid to supply power to the microgrid load according to the electric energy consumption, electric energy storage capacity and real-time power generation. This technical solution achieves a significant improvement in the microgrid in terms of supply and demand balance, resource optimization configuration, power supply reliability and safety, and better balances the power supply and demand between the microgrid load and multi-source power supply (power generation module, energy storage module and main grid, etc.).

Description

Technical Field

[0001] The present invention belongs to the technical field of new energy, and in particular relates to a method and device for load regulation. Background Art

[0002] A microgrid is a small power grid that operates relatively independently in the power system. It can be connected to a traditional large main power grid or operate independently when disconnected. A microgrid typically includes power production facilities (such as solar photovoltaic panels, wind turbines, gas turbines, etc.), energy storage equipment (such as batteries), loads (i.e., equipment or users that demand electricity), and control systems. Load regulation in a microgrid refers to ensuring the stability and economy of power supply by balancing the supply and demand of electricity within the microgrid. Traditional load regulation strategies use forecasting tools to predict the output of renewable energy and the demand for loads, and formulate power dispatch plans accordingly.

[0003] Traditional load forecasting is affected by many uncertain factors, such as weather changes, user behavior, emergencies, etc. These factors may cause large deviations between the forecast results and the actual load. This leads to great limitations in load regulation. Therefore, how to better balance the power supply and demand between microgrid loads and multi-source power supply (generation modules, energy storage modules, and main power grid, etc.) has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a method and device for load regulation to solve the technical problem of balancing the power supply and demand between the microgrid load and multi-source power supply (power generation module, energy storage module and main power grid, etc.).

[0005] A first aspect of an embodiment of the present invention provides a method for load regulation, the method for load regulation comprising:

[0006] Step A1: Collect the real-time microgrid load, the energy storage capacity of the energy storage module and the real-time power generation;

[0007] Step A2: Calculate the power consumption within a preset time period according to the real-time microgrid load;

[0008] Step A3: According to the power consumption, power storage and real-time power generation, the power generation module, the energy storage module and / or the main grid are regulated to supply power to the microgrid load;

[0009] Step A4: Repeat steps A1 to A3 according to the preset control frequency.

[0010] Furthermore, the step of regulating the power generation module, the energy storage module and / or the main grid to supply power to the microgrid load according to the power consumption, the power storage and the real-time power generation includes:

[0011] Subtracting the power consumption from the real-time power generation to obtain a first value;

[0012] If the first value is greater than 0, and the first value is less than the amount of stored electrical energy, the power generation module and the energy storage module are regulated to jointly supply power to the microgrid load;

[0013] If the first value is greater than 0, and the first value is greater than the amount of stored electrical energy, the power generation module and the main grid are regulated to jointly supply power to the microgrid load;

[0014] If the first value is not greater than 0, the power generation module is regulated to supply power to the microgrid load.

[0015] Further, after the step of regulating the power generation module and the energy storage module to jointly supply power to the microgrid load if the first value is greater than 0 and less than the amount of stored electric energy, the method further includes:

[0016] Subtracting the electric energy storage amount from the first value to obtain the remaining storage amount;

[0017] Matching the preset value interval where the real-time microgrid load is located, and matching the redundant energy storage energy mapped by the preset value range; wherein different preset value intervals map different redundant energy storage energies;

[0018] Subtracting the redundant energy storage from the remaining energy storage to obtain the energy storage to be replenished;

[0019] According to the amount of stored energy to be replenished, the main power grid is regulated to supply power to the energy storage module.

[0020] Furthermore, the step of regulating the main power grid to supply power to the energy storage module according to the energy storage energy to be replenished includes:

[0021] Calculate the connection time of the main power grid according to the energy storage to be replenished;

[0022] According to the connection duration, the main grid is regulated at the next regulation node to supply power to the energy storage module.

[0023] Furthermore, the step of calculating the connection time of the main power grid according to the energy storage to be replenished includes:

[0024] Multiplying the output power of the main grid by the charging efficiency of the energy storage module to obtain a third value;

[0025] The amount of stored energy to be replenished is divided by the third value to obtain the connection time of the main power grid.

[0026] Further, after the step of regulating the power generation module and the main grid to jointly supply power to the microgrid load if the first value is greater than 0 and the first value is greater than the electric energy storage amount, the method further includes:

[0027] Matching the preset value interval where the real-time microgrid load is located, and matching the redundant energy storage energy mapped by the preset value range; wherein different preset value intervals map different redundant energy storage energies;

[0028] Subtracting the redundant energy storage from the remaining energy storage to obtain the energy storage to be replenished;

[0029] According to the amount of stored energy to be replenished, the main power grid is regulated to supply power to the energy storage module.

[0030] Furthermore, the step of calculating the power consumption within a preset time period according to the real-time microgrid load includes:

[0031] Obtain multiple historical microgrid loads within a preset historical period, and calculate the variance and median corresponding to the multiple historical microgrid loads;

[0032] If the difference between the median and the real-time microgrid load is less than the first threshold, and the variance is less than the second threshold, the real-time microgrid load is integrated and calculated based on the preset time length to obtain the power consumption within the preset time length;

[0033] If the difference between the median and the real-time microgrid load is less than the first threshold value, and the variance is greater than the second threshold value, the median is integrated based on the preset time length to obtain the power consumption within the preset time length;

[0034] If the difference between the median and the real-time microgrid load is not less than the first threshold, the median is integrated based on the preset time length to obtain the power consumption within the preset time length.

[0035] A second aspect of an embodiment of the present invention provides a load control device, including:

[0036] A collection unit is used to collect real-time microgrid load, energy storage capacity of energy storage modules and real-time power generation;

[0037] A calculation unit, used to calculate the power consumption within a preset time period according to the real-time microgrid load;

[0038] A control unit, used to control the power generation module, the energy storage module and / or the main grid to supply power to the microgrid load according to the power consumption, the power storage and the real-time power generation;

[0039] An execution unit is used to repeatedly execute the steps corresponding to the acquisition unit to the control unit according to a preset control frequency.

[0040] A third aspect of an embodiment of the present invention provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in the first aspect when executing the computer program.

[0041] A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

[0042] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: by collecting real-time load data of the microgrid, a rapid response to load changes is achieved. This real-time monitoring and response mechanism ensures the stability of the power grid operation and can reduce the waste of electric energy. By calculating the power consumption within a preset time, the power demand in the short term can be predicted, thereby realizing the dynamic management of the power generation module and the energy storage module. This prediction and adjustment capability improves the operating efficiency of the microgrid and helps to avoid power loss caused by imbalance between supply and demand. Based on a comprehensive analysis of power consumption, storage capacity and real-time power generation, the resource configuration of the power generation module, the energy storage module and the main power grid can be optimized. This optimization enables the rational use of various power supply resources, improves the comprehensive utilization efficiency of energy, and reduces operating costs. By regulating each power supply source to supply power to the microgrid load, the scheduling flexibility of the power grid for different power sources is enhanced. This elastic strategy helps to ensure stable power supply to the power grid when the volatility of renewable energy generation is large. Through the periodic execution of the preset control frequency, this technical solution can adjust the power supply in time, so that even when the main power grid is unstable or interrupted, the energy supply of the microgrid can be guaranteed through local power generation and energy storage modules, thereby enhancing the reliability and safety of power supply. This technical solution helps to reduce the dependence of the microgrid on the main grid by efficiently using local power generation and energy storage resources. This not only reduces the burden on the main grid, but also enables the microgrid to be self-sufficient when problems occur in the main grid, ensuring continuous power supply to critical loads. In summary, this technical solution achieves a significant improvement in the microgrid in terms of supply and demand balance, optimal resource allocation, power supply reliability and safety, and better balances the power supply and demand between the microgrid load and multi-source power supply (power generation module, energy storage module, and main grid, etc.). BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 A schematic flow chart of a load control method provided by the present invention is shown;

[0045] Figure 2 A schematic diagram of a load control device provided by an embodiment of the present invention is shown;

[0046] Figure 3 A schematic diagram of a terminal device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0047] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0048] In view of this, an embodiment of the present invention provides a method and device for load regulation to solve the technical problem of balancing the power supply and demand between the microgrid load and multi-source power supply (power generation module, energy storage module and main power grid, etc.).

[0049] First, the present invention provides a method for load regulation. Figure 1 , Figure 1 FIG. 1 is a schematic flow chart of a load control method provided by the present invention. Figure 1 As shown, the load control method may include the following steps:

[0050] Step A1: Collect the real-time microgrid load, the energy storage capacity of the energy storage module and the real-time power generation;

[0051] Real-time microgrid load refers to the power load of the entire microgrid system at a specific time point in the microgrid system. Real-time microgrid load monitoring and management are very important to ensure the stable operation of the microgrid system and the rational use of energy resources.

[0052] The energy storage capacity of the energy storage module refers to the current real-time energy storage capacity of the energy storage module. The real-time power generation capacity refers to the current real-time power generation capacity of the power generation module.

[0053] Step A2: Calculate the power consumption within a preset time period according to the real-time microgrid load;

[0054] Since the power generation module, energy storage module and / or main grid are regulated to supply power to the microgrid load, the calculation accuracy requirement for the power consumption is relatively low. Therefore, this embodiment performs a rough calculation based on the real-time microgrid load to avoid unnecessary waste of computing resources. The specific calculation logic is as follows:

[0055] Specifically, step A2 specifically includes steps A21 to A24:

[0056] Step A21: obtaining multiple historical microgrid loads within a preset historical period, and calculating the variance and median corresponding to the multiple historical microgrid loads;

[0057] The preset historical period refers to a historical period adjacent to the current time, for example, the previous hour or the previous two hours, etc. A plurality of historical microgrid loads are collected in the preset historical period.

[0058] Step A22: If the difference between the median and the real-time microgrid load is not less than the first threshold, and the variance is less than the second threshold, then integral calculation is performed on the multiple historical microgrid loads based on the preset time length to obtain the power consumption within the preset time length;

[0059] When the difference between the median and the real-time microgrid load is not less than the first threshold, and the variance is less than the second threshold, it means that the load change amplitude in the preset historical period is small, while the real-time microgrid load is significantly different from the median.

[0060] It is understandable that, since the microgrid load changes little in a short period of time, if the real-time microgrid load is far from the median, it means that the real-time microgrid load has temporary fluctuations and cannot be used to predict the subsequent power consumption. Therefore, this embodiment fits a polynomial function based on multiple historical microgrid loads within a preset time to approximate the original data. Then, the polynomial function is integrated to obtain the power consumption within the preset time.

[0061] Step A23: If the difference between the median and the real-time microgrid load is not less than the first threshold, and the variance is not less than the second threshold, the real-time microgrid load is integrated and calculated based on the preset time length to obtain the power consumption within the preset time length;

[0062] When the difference between the median and the real-time microgrid load is not less than the first threshold, and the variance is not less than the second threshold, it means that the load has changed greatly during the preset historical period, and there is a large gap between the median and the real-time microgrid load. If the power consumption is calculated based on multiple historical microgrid loads, there will be a large error. Therefore, the real-time microgrid load is integrated and calculated based on the preset time length to obtain the power consumption within the preset time length.

[0063] Step A24: If the difference between the median and the real-time microgrid load is less than a first threshold, the real-time microgrid load is integrated based on a preset time period to obtain the power consumption within the preset time period.

[0064] When the difference between the median and the real-time microgrid load is less than the first threshold, it means that the difference between the median and the real-time microgrid load is small. Therefore, the integral calculation can be directly performed based on the microgrid load to obtain the power consumption within the preset time.

[0065] In this embodiment, the technical solution aims to realize the calculation of the real-time electric energy consumption of the microgrid load. First, by obtaining multiple historical microgrid load data within a preset historical period, and processing these historical data, their variance and median are calculated. Then, the real-time microgrid load is compared with the median of the historical data. If the difference between the two is greater than or equal to the set first threshold, and the variance of the historical data is less than the set second threshold, then the historical microgrid load will be integrated based on the preset duration to obtain the electric energy consumption within the preset duration. If the difference between the real-time load and the median of the historical data is greater than or equal to the first threshold, but the variance of the historical data is not less than the second threshold, the real-time microgrid load is integrated. Finally, if the difference between the real-time load and the median of the historical data is less than the first threshold, the real-time microgrid load is directly integrated to obtain the electric energy consumption within the corresponding duration. By comparing with the real-time load, a suitable calculation method is selected to more accurately estimate the electric energy consumption, which is helpful for the management and operation of the microgrid system.

[0066] Step A3: According to the power consumption, power storage and real-time power generation, the power generation module, the energy storage module and / or the main grid are regulated to supply power to the microgrid load;

[0067] Specifically, step A3 includes steps A31 to A34:

[0068] Step A31: Subtract the power consumption from the real-time power generation to obtain a first value;

[0069] Step A32: If the first value is greater than 0, and the first value is less than the amount of stored electric energy, the power generation module and the energy storage module are regulated to jointly supply power to the microgrid load;

[0070] Step A33: If the first value is greater than 0, and the first value is greater than the electric energy storage capacity, the power generation module and the main grid are regulated to jointly supply power to the microgrid load;

[0071] Step A34: If the first value is not greater than 0, the power generation module is regulated to supply power to the microgrid load.

[0072] The above scheme obtains the first value by calculating the difference between the power consumption and the real-time power generation. If the first value is greater than zero and less than the power storage capacity, the system will regulate the power generation module and the energy storage module to jointly supply power to the microgrid load; if the first value is greater than zero and greater than the power storage capacity, the system will regulate the power generation module and the main grid to jointly supply power to the microgrid load; if the first value is not greater than zero, the system will regulate the power generation module to supply power to the microgrid load. This technical solution realizes the intelligent management of the microgrid energy supply, and can flexibly adjust different power sources according to real-time conditions, ensure the stable operation of the microgrid and maximize the use of renewable energy and energy storage equipment, thereby improving energy utilization efficiency, reducing energy costs, reducing dependence on traditional power grids, and promoting sustainable energy development.

[0073] As an optional embodiment of the present application, since renewable energy sources such as wind energy and solar energy are intermittent and volatile, an energy storage module is required to play the role of peak shaving and valley filling. The energy storage module can be released when power generation is insufficient, promoting the effective use of renewable energy and larger-scale integration. Therefore, it is necessary to maintain a certain amount of storage power in the energy storage module to supply power to the load when needed. This embodiment maintains a certain amount of storage power in the energy storage module in the following manner:

[0074] Optionally, after step A32, steps B1 to B4 are also included:

[0075] Step B1: subtract the electric energy storage amount from the first value to obtain the remaining storage energy;

[0076] The remaining stored energy is used to indicate the remaining stored energy in the energy storage module after the energy storage module supplies power to the microgrid load.

[0077] Step B2: matching the preset value interval of the real-time microgrid load, and matching the redundant energy storage energy mapped by the preset value range; wherein different preset value intervals map different redundant energy storage energies;

[0078] Different redundant energy storage capacities are required for different real-time microgrid loads to better adapt to the changes in real-time microgrid loads and provide sufficient power supply.

[0079] As an optional embodiment of the present application, before step B2, the method further includes: calculating the redundant energy storage amount corresponding to each preset value interval by the following formula:

[0080] Substitute each preset numerical range into the following formula to obtain the corresponding redundant energy storage capacity.

[0081]

[0082] in, represents the redundant energy storage, Indicates the maximum value of the preset value range. Indicates the minimum value of the preset numerical range. represents the load range adjustment coefficient, Indicates the maximum storage energy of the energy storage device, Indicates the conversion factor.

[0083] The load of a microgrid typically changes over time. This change may be caused by electricity consumption patterns during different time periods, fluctuations in renewable energy generation, or other factors. Energy storage devices play a key role in microgrids. They can store electrical energy for emergency use and release it when needed to balance power supply and demand, reduce load fluctuations on the grid, and avoid overload or power shortage.

[0084] The above formula is designed to calculate the redundant amount of energy storage that needs to be stored by the energy storage device to meet the load fluctuations in the microgrid. This formula takes into account the load range, load level, and the storage range of the energy storage device, and uses an exponential microgrid load that typically changes over time. This change may be caused by power consumption patterns during different time periods, fluctuations in renewable energy generation, or other factors. Energy storage devices play a key role in microgrids. They can store electrical energy for emergency use and release electrical energy when needed to balance the supply and demand of electricity, reduce load fluctuations in the power grid, and avoid overloads or power shortages.

[0085] The above formula is designed to calculate the amount of redundant energy storage that the energy storage device needs to store to meet the load fluctuations in the microgrid. This formula takes into account the load range, load level, and energy storage range of the energy storage device, and uses the exponential To adjust the impact of load unevenness on redundant energy storage, the conversion coefficient Domain conversion of microgrid loads and energy storage.

[0086] Step B3: subtracting the redundant energy storage from the remaining energy storage to obtain the energy storage to be supplemented;

[0087] The amount of stored energy to be replenished indicates the amount of electricity that needs to be charged to the energy storage module.

[0088] Step B4: According to the energy storage amount to be replenished, regulating the main power grid to supply power to the energy storage module.

[0089] During peak hours, the power generated by the power generation module is used to supply the load, making full use of clean energy. The energy storage device can be charged through the main power grid.

[0090] Specifically, step B4 includes steps B41 to B42:

[0091] Step B41: Calculating the connection time of the main power grid according to the energy storage to be replenished;

[0092] In order to prevent backflow, it is necessary to calculate the connection time of the main grid according to the amount of storage energy to be replenished, so as to control the connection between the microgrid and the main grid, and supply power to the energy storage module through the main grid during the connection time.

[0093] Specifically, step B41 specifically includes step B411 to step B412:

[0094] Step B411: multiplying the output power of the main grid by the charging efficiency of the energy storage module to obtain a third value;

[0095] The output power of the main grid is multiplied by the charging efficiency of the energy storage module to obtain a third value. This step takes into account the energy loss during the energy storage process and incorporates it into the calculation range to accurately evaluate the energy conversion efficiency during the charging process.

[0096] Step B412: Divide the amount of stored energy to be replenished by the third value to obtain the connection time of the main power grid.

[0097] Optionally, after step A33, steps C1 to C3 are also included:

[0098] Step C1: matching the preset value interval of the real-time microgrid load, and matching the redundant energy storage energy mapped by the preset value range; wherein different preset value intervals map different redundant energy storage energies;

[0099] Step C2: subtracting the redundant energy storage from the remaining energy storage to obtain the energy storage to be supplemented;

[0100] Step C3: According to the energy storage amount to be replenished, regulating the main power grid to supply power to the energy storage module.

[0101] The execution logic of steps C1 to C3 and steps B2 to B4 are similar and will not be described in detail here.

[0102] Step B42: According to the connection duration, at the next control node, the main grid is controlled to supply power to the energy storage module.

[0103] In this embodiment, the amount of electric energy stored in the energy storage module is subtracted from a preset value to obtain the remaining energy storage. By matching the preset numerical interval in which the real-time microgrid load is located, the redundant energy storage corresponding to the interval is determined. It should be pointed out here that different preset numerical intervals map different redundant energy storage. The obtained redundant energy storage is subtracted from the remaining energy storage to obtain the energy storage to be replenished. According to the value of the energy storage to be replenished, the main grid is regulated to supply power to the energy storage module to achieve the replenishment of the energy storage module. The above technical solution dynamically adjusts the power supply of the main grid so that the energy storage module can replenish the energy storage in real time according to the changes in the microgrid load, thereby maintaining a certain amount of energy storage in the energy storage module, effectively coping with the fluctuation of the power generation of the microgrid, and improving the stability and reliability of the microgrid.

[0104] Step A4: Repeat steps A1 to A3 according to the preset control frequency.

[0105] It is worth noting that in traditional technologies, microgrid load forecasting usually relies on historical data and models, but the data itself may be noisy or incomplete, resulting in inaccurate forecasting results. In addition, establishing an accurate load forecasting model requires considering many factors, including weather, seasons, holidays, etc. The model is relatively complex and has high maintenance and update costs. Therefore, in order to solve the problem of low prediction accuracy of microgrid load, this embodiment repeatedly executes steps A1 to A3 according to a preset control frequency, so as to perform load control through real-time microgrid load, energy storage capacity of the energy storage module and real-time power generation, and then adapt to changes in microgrid load, which does not rely on the accuracy of load forecasting, but improves the rationality of control through control frequency and less computing power.

[0106] In this embodiment, by collecting real-time load data of the microgrid, a rapid response to load changes is achieved. This real-time monitoring and response mechanism ensures the stability of the grid operation and can reduce the waste of electric energy. By calculating the electric energy consumption within a preset time, the electric energy demand in the short term can be predicted, thereby realizing the dynamic management of the power generation module and the energy storage module. This prediction and adjustment capability improves the operating efficiency of the microgrid and helps to avoid the loss of electric energy caused by the imbalance of supply and demand. According to the comprehensive analysis of the electric energy consumption, the storage capacity and the real-time power generation, the resource configuration of the power generation module, the energy storage module and the main grid can be optimized. This optimization enables the rational use of various power supply resources, improves the comprehensive utilization efficiency of energy, and reduces the operating cost. By regulating each power supply source to supply power to the microgrid load, the scheduling flexibility of the grid for different power sources is enhanced. This elastic strategy helps to ensure the stable power supply of the grid when the fluctuation of renewable energy generation is large. Through the periodic execution of the preset regulation frequency, the technical solution can adjust the power supply in time, so that even when the power supply of the main grid is unstable or interrupted, the energy supply of the microgrid can be guaranteed by the local power generation and energy storage module, which enhances the reliability and safety of the power supply. This technical solution helps reduce the microgrid's dependence on the main grid by efficiently using local power generation and energy storage resources. This not only reduces the burden on the main grid, but also enables the microgrid to be self-sufficient when problems occur in the main grid, ensuring continuous power supply to critical loads. In summary, this technical solution achieves significant improvements in the microgrid's supply and demand balance, resource optimization, power supply reliability and safety, and better balances the power supply and demand between the microgrid load and multi-source power supply (power generation module, energy storage module, and main grid, etc.).

[0107] like Figure 2 The present invention provides a load control device 2, see Figure 2 , Figure 2 A schematic diagram of a load control device provided by the present invention is shown, Figure 2 A load control device includes:

[0108] The collection unit 21 is used to collect the real-time microgrid load, the electric energy storage capacity of the energy storage module and the real-time power generation;

[0109] A calculation unit 22, used to calculate the power consumption within a preset time period according to the real-time microgrid load;

[0110] The control unit 23 is used to control the power generation module, the energy storage module and / or the main grid to supply power to the microgrid load according to the power consumption, the power storage and the real-time power generation;

[0111] The execution unit 24 is used to repeatedly execute the corresponding steps from the collection unit to the control unit according to a preset control frequency.

[0112] The present invention provides a load control device, which can quickly respond to load changes by collecting real-time load data of a microgrid. This real-time monitoring and response mechanism ensures the stability of power grid operation and can reduce the waste of electric energy. By calculating the power consumption within a preset time, the power demand in the short term can be predicted, thereby realizing dynamic management of the power generation module and the energy storage module. This prediction and adjustment capability improves the operation efficiency of the microgrid and helps to avoid power loss caused by imbalance between supply and demand. According to the comprehensive analysis of power consumption, storage capacity and real-time power generation, the resource configuration of the power generation module, the energy storage module and the main power grid can be optimized. This optimization enables the rational use of various power supply resources, improves the comprehensive utilization efficiency of energy and reduces operating costs. By regulating each power supply source to supply power to the microgrid load, the scheduling flexibility of the power grid for different power sources is enhanced. This elastic strategy helps to ensure the stable power supply of the power grid when the fluctuation of renewable energy generation is large. Through the periodic execution of the preset control frequency, the technical solution can adjust the power supply in time, so that even when the power supply of the main power grid is unstable or interrupted, the energy supply of the microgrid can be guaranteed by the local power generation and energy storage module, thereby enhancing the reliability and safety of the power supply. This technical solution helps reduce the microgrid's dependence on the main grid by efficiently using local power generation and energy storage resources. This not only reduces the burden on the main grid, but also enables the microgrid to be self-sufficient when problems occur in the main grid, ensuring continuous power supply to critical loads. In summary, this technical solution achieves significant improvements in the microgrid's supply and demand balance, resource optimization, power supply reliability and safety, and better balances the power supply and demand between the microgrid load and multi-source power supply (power generation module, energy storage module, and main grid, etc.).

[0113] Figure 3 Schematic diagram of a terminal device provided by an embodiment of the present invention. Figure 3 As shown, a terminal device 3 of this embodiment includes: a processor 30, a memory 31, and a computer program 32 stored in the memory 31 and executable on the processor 30, such as a load control program. When the processor 30 executes the computer program 32, the steps in each of the above-mentioned load control method embodiments are implemented, such as Figure 1 Alternatively, when the processor 30 executes the computer program 32, the functions of each unit in the above-mentioned device embodiments are realized, for example, Figure 2 Function of the unit shown.

[0114] Exemplarily, the computer program 32 may be divided into one or more units, which are stored in the memory 31 and executed by the processor 30 to complete the present invention. The one or more units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 32 in the terminal device 3. For example, the computer program 32 may be divided into the following specific functions of each unit:

[0115] A collection unit is used to collect real-time microgrid load, energy storage capacity of energy storage modules and real-time power generation;

[0116] A calculation unit, used to calculate the power consumption within a preset time period according to the real-time microgrid load;

[0117] A control unit, used to control the power generation module, the energy storage module and / or the main grid to supply power to the microgrid load according to the power consumption, the power storage and the real-time power generation;

[0118] An execution unit is used to repeatedly execute the steps corresponding to the acquisition unit to the control unit according to a preset control frequency.

[0119] The terminal device includes but is not limited to a processor 30 and a memory 31. Those skilled in the art will appreciate that Figure 3 It is only an example of a terminal device 3 and does not constitute a limitation on the terminal device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device may also include input and output devices, network access devices, buses, etc.

[0120] The processor 30 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0121] The memory 31 may be an internal storage unit of the terminal device 3, such as a hard disk or memory of the terminal device 3. The memory 31 may also be an external storage device of the terminal device 3, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the terminal device 3. The memory 31 is used to store the computer program and other programs and data required by the roaming control device. The memory 31 may also be used to temporarily store data that has been output or is to be output.

[0122] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0123] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present invention. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0124] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0125] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0126] An embodiment of the present invention provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0127] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the camera device / terminal device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0128] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0129] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0130] In the embodiments provided by the present invention, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0131] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed over multiple network units.

[0132] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0133] It should also be understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0134] As used in the present specification and the appended claims, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to monitoring, depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is monitored" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is monitored" or "in response to monitoring [described condition or event]", depending on the context.

[0135] In addition, in the description of the present specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0136] References to "one embodiment" or "some embodiments" etc. described in the present specification mean that one or more embodiments of the present invention include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0137] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for load control, characterized in that: The load control method comprises: Step A1: Collect the real-time microgrid load, the energy storage capacity of the energy storage module and the real-time power generation; Step A2: Calculate the power consumption within a preset time period according to the real-time microgrid load; Step A3: subtract the power consumption from the real-time power generation to obtain a first value; If the first value is greater than 0, and the first value is less than the amount of stored electrical energy, the power generation module and the energy storage module are regulated to jointly supply power to the microgrid load; Subtracting the electric energy storage amount from the first value to obtain the remaining storage amount; The redundant energy storage capacity corresponding to each preset value interval is calculated by the following formula: Substitute each preset numerical range into the following formula to obtain the corresponding redundant energy storage capacity; ;in, represents the redundant energy storage, Indicates the maximum value of the preset value range. Indicates the minimum value of the preset numerical range. represents the load range adjustment coefficient, Indicates the maximum storage capacity of the energy storage device. Represents a conversion coefficient; matches the preset numerical interval where the real-time microgrid load is located, and matches the redundant energy storage energy mapped by the preset numerical interval; wherein different preset numerical intervals map different redundant energy storage energies; Subtracting the redundant energy storage from the remaining energy storage to obtain the energy storage to be replenished; According to the amount of stored energy to be replenished, regulating the main power grid to supply power to the energy storage module; If the first value is greater than 0, and the first value is greater than the amount of stored electrical energy, the power generation module and the main grid are regulated to jointly supply power to the microgrid load; If the first value is not greater than 0, the power generation module is regulated to supply power to the microgrid load; Step A4: Repeat steps A1 to A3 according to the preset control frequency.

2. The load control method according to claim 1, characterized in that: The step of regulating the main power grid to supply power to the energy storage module according to the energy storage energy to be supplemented comprises: Calculate the connection time of the main power grid according to the energy storage to be replenished; According to the connection duration, the main grid is regulated at the next regulation node to supply power to the energy storage module.

3. The load control method according to claim 2, characterized in that: The step of calculating the connection time of the main power grid according to the energy storage to be supplemented comprises: Multiplying the output power of the main grid by the charging efficiency of the energy storage module to obtain a third value; The amount of stored energy to be replenished is divided by the third value to obtain the connection time of the main power grid.

4. The method for load control according to claim 1, characterized in that: After the step of regulating the power generation module and the main grid to jointly supply power to the microgrid load if the first value is greater than 0 and the first value is greater than the electric energy storage amount, the method further includes: Matching the preset numerical interval where the real-time microgrid load is located, and matching the redundant energy storage energy mapped by the preset numerical interval; wherein different preset numerical intervals map different redundant energy storage energies; Subtracting the redundant energy storage from the remaining energy storage to obtain the energy storage to be replenished; According to the amount of stored energy to be replenished, the main power grid is regulated to supply power to the energy storage module.

5. The load control method according to claim 1, characterized in that: The step of calculating the power consumption within a preset time period according to the real-time microgrid load includes: Obtain multiple historical microgrid loads within a preset historical period, and calculate the variance and median corresponding to the multiple historical microgrid loads; If the difference between the median and the real-time microgrid load is not less than the first threshold, and the variance is less than the second threshold, the plurality of historical microgrid loads are integrated and calculated based on the preset time length to obtain the electric energy consumption within the preset time length; If the difference between the median and the real-time microgrid load is not less than the first threshold, and the variance is not less than the second threshold, the real-time microgrid load is integrated and calculated based on the preset time length to obtain the power consumption within the preset time length; If the difference between the median and the real-time microgrid load is less than a first threshold, the real-time microgrid load is integrated and calculated based on a preset time length to obtain the electric energy consumption within the preset time length.

6. A load control device, characterized in that: The load control device comprises: A collection unit is used to collect real-time microgrid load, energy storage capacity of energy storage modules and real-time power generation; A calculation unit, used to calculate the power consumption within a preset time period according to the real-time microgrid load; A control unit, configured to subtract the power consumption from the real-time power generation to obtain a first value; If the first value is greater than 0, and the first value is less than the amount of stored electrical energy, the power generation module and the energy storage module are regulated to jointly supply power to the microgrid load; Subtracting the electric energy storage amount from the first value to obtain the remaining storage amount; The redundant energy storage corresponding to each preset numerical interval is calculated by the following formula: Substitute each preset numerical interval into the following formula to obtain the corresponding redundant energy storage; ;in, represents the redundant energy storage, Indicates the maximum value of the preset value range. Indicates the minimum value of the preset numerical range. represents the load range adjustment coefficient, Indicates the maximum storage capacity of the energy storage device. Represents a conversion coefficient; matches the preset numerical interval where the real-time microgrid load is located, and matches the redundant energy storage energy mapped by the preset numerical interval; wherein different preset numerical intervals map different redundant energy storage energies; Subtracting the redundant energy storage from the remaining energy storage to obtain the energy storage to be replenished; According to the amount of stored energy to be replenished, regulating the main power grid to supply power to the energy storage module; If the first value is greater than 0, and the first value is greater than the amount of stored electrical energy, the power generation module and the main grid are regulated to jointly supply power to the microgrid load; If the first value is not greater than 0, the power generation module is regulated to supply power to the microgrid load; An execution unit is used to repeatedly execute the steps corresponding to the acquisition unit to the control unit according to a preset control frequency.

7. A terminal device, characterized in that: The device comprises: a memory, a processor, and a load control program stored in the memory and executable on the processor, wherein the load control program is configured to implement the steps in the load control method according to any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps in the load control method according to any one of claims 1 to 5 are implemented.

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