Electric quantity distribution method and device, storage medium and electronic equipment

Abstract

The invention discloses an electric quantity distribution method and device, a storage medium and electronic equipment. Relates to the technical field of data processing, the technical field of electronics and other related technical fields. Determining a direct-current micro-grid in the target range; and carrying out electric quantity distribution on the plurality of loads through the DC micro-grid based on the target electric quantity distribution strategy so as to enable the plurality of loads to operate. Through the method and the device, the problem of relatively low distribution efficiency of the electric quantity due to the fact that the electric quantity is distributed based on the use frequency of a plurality of loads through artificial experience in related technologies is solved.

Description

Technical Field

[0001] The present application relates to the fields of data processing technology, electronic technology and other related technical fields, and specifically, to a power distribution method and device, a storage medium and an electronic device. Background Art

[0002] By reasonably allocating the power of different loads, we can avoid power overload or power shortage, ensure the safety and reliability of the power system, improve the efficiency of power resource utilization, reduce electricity costs, reduce energy waste, and promote energy conservation, emission reduction and sustainable development. However, traditional methods usually allocate power based on manual experience and the frequency of use of multiple loads, without considering the actual demand and dynamic changes of the loads, which is prone to problems such as power resource waste and unbalanced power distribution, affecting the performance and stability of the power system.

[0003] Currently, no effective solution has been proposed to solve the problem that the power distribution efficiency is relatively low because power is distributed based on the usage frequency of multiple loads through manual experience in related technologies. Summary of the invention

[0004] The main purpose of the present application is to provide a power distribution method and device, a storage medium and an electronic device to solve the problem in the related art that power distribution is performed based on the usage frequency of multiple loads through manual experience, resulting in low power distribution efficiency.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a method for distributing power is provided. The method comprises: determining multiple loads within a target range; determining a DC microgrid within the target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system; distributing power to the multiple loads based on a target power distribution strategy through the DC microgrid so that the multiple loads can operate, wherein the target power distribution strategy is obtained based on the power consumption data of the multiple loads in a historical time period.

[0006] Furthermore, determining the DC microgrid within the target range includes: installing a plurality of photovoltaic panels within the target range to obtain a target photovoltaic power generation system, wherein the plurality of photovoltaic panels are used to convert solar energy within the target range into electrical energy; determining a target battery energy storage system based on the output power of the target photovoltaic power generation system and the power consumption patterns corresponding to the plurality of loads; and determining the DC microgrid based on the target photovoltaic power generation system and the target battery energy storage system.

[0007] Furthermore, installing a plurality of photovoltaic panels within the target range to obtain a target photovoltaic power generation system includes: acquiring first attribute information corresponding to the target range, wherein the first attribute information includes at least: terrain information and location information of the target range; determining installation information corresponding to the plurality of photovoltaic panels based on the first attribute information; and installing the plurality of photovoltaic panels within the target range based on the installation information to obtain the target photovoltaic power generation system.

[0008] Furthermore, determining the target battery energy storage system based on the output power of the target photovoltaic power generation system and the power usage patterns corresponding to the multiple loads includes: determining the battery energy storage capacity and the battery type based on the output power and the power usage pattern; determining the target battery energy storage system based on the battery energy storage capacity and the battery type.

[0009] Furthermore, distributing power to the multiple loads based on a target power distribution strategy through the DC microgrid so that the multiple loads can operate includes: if the load current type of the multiple loads is DC power, distributing power to the multiple loads based on the target power distribution strategy through the DC microgrid so that the multiple loads can operate; if the load current type of the multiple loads is AC power, distributing power to the multiple loads based on the target power distribution strategy through the DC microgrid and the target converter so that the multiple loads can operate, wherein the target converter is used to convert DC power in the DC microgrid into AC power.

[0010] Furthermore, before distributing power to the multiple loads based on the target power distribution strategy through the DC microgrid and the target converter to obtain a second distribution result, the method also includes: determining converter parameters based on second attribute information of the multiple loads, wherein the second attribute information at least includes: the effective value of the voltage, input frequency and phase angle of the multiple loads; configuring the initial converter based on the converter parameters to obtain the target converter.

[0011] Furthermore, before distributing power to the multiple loads based on the target power distribution strategy through the DC microgrid so that the multiple loads can operate, the method also includes: filtering the power consumption data according to preset filtering conditions to obtain filtered power consumption data; performing mean operation on the filtered power consumption data to obtain a target calculation result; performing feature extraction on the target calculation result through a feature extraction unit of a target model to obtain power consumption characteristics corresponding to the multiple loads; and predicting the power consumption of the multiple loads based on the power consumption characteristics through a prediction unit of the target model to obtain the target power distribution strategy.

[0012] In order to achieve the above-mentioned purpose, according to another aspect of the present application, a power distribution device is provided. The device comprises: a first determination unit, used to determine multiple loads within a target range; a second determination unit, used to determine a DC microgrid within the target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system; a distribution unit, used to distribute power to the multiple loads based on a target power distribution strategy through the DC microgrid, so that the multiple loads can operate, wherein the target power distribution strategy is obtained based on the power consumption data of the multiple loads in a historical time period.

[0013] Furthermore, the second determination unit includes: an installation module, used to install multiple photovoltaic panels within the target range to obtain a target photovoltaic power generation system, wherein the multiple photovoltaic panels are used to convert solar energy within the target range into electrical energy; a first determination module, used to determine the target battery energy storage system based on the output power of the target photovoltaic power generation system and the power consumption mode corresponding to the multiple loads; and a second determination module, used to determine the DC microgrid based on the target photovoltaic power generation system and the target battery energy storage system.

[0014] Furthermore, the installation module includes: an acquisition submodule, used to acquire first attribute information corresponding to the target range, wherein the first attribute information includes at least: terrain information and location information of the target range; a first determination submodule, used to determine installation information corresponding to the multiple photovoltaic panels based on the first attribute information; and an installation submodule, used to install the multiple photovoltaic panels within the target range based on the installation information to obtain the target photovoltaic power generation system.

[0015] Furthermore, the first determination module includes: a second determination submodule, used to determine the battery energy storage capacity and the battery type based on the output power and the power usage mode; and a third determination submodule, used to determine the target battery energy storage system based on the battery energy storage capacity and the battery type.

[0016] Furthermore, the distribution unit includes: a first distribution module, which is used to distribute power to the multiple loads based on the target power distribution strategy through the DC microgrid if the load current type of the multiple loads is DC power, so that the multiple loads can operate; a second distribution module, which is used to distribute power to the multiple loads based on the target power distribution strategy through the DC microgrid and the target converter if the load current type of the multiple loads is AC power, so that the multiple loads can operate, wherein the target converter is used to convert DC power in the DC microgrid into AC power.

[0017] Furthermore, the device also includes: a third determination unit, used to determine converter parameters according to second attribute information of the multiple loads before allocating power to the multiple loads based on the target power distribution strategy through the DC microgrid and the target converter to obtain a second distribution result, wherein the second attribute information at least includes: the effective value of the voltage, input frequency and phase angle of the multiple loads; a configuration unit, used to configure the initial converter according to the converter parameters to obtain the target converter.

[0018] Furthermore, the device also includes: a screening unit, which is used to distribute electricity to the multiple loads based on the target electricity distribution strategy through the DC microgrid, so that before the multiple loads are operated, the electricity consumption data is screened according to preset screening conditions to obtain the screened electricity consumption data; a calculation unit, which is used to perform mean operation on the screened electricity consumption data to obtain a target calculation result; an extraction unit, which is used to perform feature extraction on the target calculation result through the feature extraction unit of the target model to obtain the electricity consumption characteristics corresponding to the multiple loads; a prediction unit, which is used to predict the electricity consumption of the multiple loads based on the electricity consumption characteristics through the prediction unit of the target model to obtain the target electricity distribution strategy.

[0019] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a computer-readable storage medium is provided, wherein the storage medium stores a program, wherein when the program is running, the device where the storage medium is located is controlled to execute any one of the power allocation methods described above.

[0020] In order to achieve the above-mentioned purpose, according to another aspect of the present application, an electronic device is further provided, the electronic device includes one or more processors and a memory, and the memory is used to store one or more processors to implement any one of the power distribution methods described above.

[0021] Through this application, the following steps are adopted: determining multiple loads within the target range; determining a DC microgrid within the target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system; through the DC microgrid based on the target power distribution strategy, multiple loads are distributed to enable multiple loads to operate, wherein the target power distribution strategy is obtained based on the power consumption data of multiple loads in the historical time period. Through this application, the problem of low power distribution efficiency caused by the distribution of power based on the use frequency of multiple loads by artificial experience in the related art is solved. In this scheme, firstly, multiple loads to be distributed (i.e., multiple loads) within the target range are determined, and a DC microgrid is determined according to the photovoltaic power generation system and the battery energy storage system within the target range. Finally, the target power distribution strategy obtained by the DC microgrid based on the historical power consumption data of multiple loads is used to distribute power to multiple loads to ensure the smooth operation of multiple loads. Determining the target power distribution strategy through the historical power consumption data of multiple loads can more accurately predict the demand of the load, avoid energy waste, and improve energy utilization efficiency. At the same time, by distributing power to multiple loads based on the target power distribution strategy through the DC microgrid, load balancing of multiple loads can be achieved, avoiding overload or insufficient energy supply of some loads, thereby optimizing the operation of the power system and improving the reliability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0023] Figure 1 is a flow chart of a power distribution method provided according to an embodiment of the present application;

[0024] Figure 2 is a schematic diagram of a power distribution method provided according to an embodiment of the present application;

[0025] Figure 3 is a schematic diagram of a power distribution device provided according to an embodiment of the present application;

[0026] Figure 4 is a schematic diagram of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0028] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] It should be noted that the relevant information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties. For example, an interface is set up between this system and the relevant user or organization. Before obtaining relevant information, it is necessary to send an acquisition request to the aforementioned user or organization through the interface, and obtain relevant information after receiving the consent information fed back by the aforementioned user or organization.

[0031] The present invention is described below in conjunction with preferred implementation steps. Figure 1 is a flow chart of a power distribution method provided in an embodiment of the present application. Figure 1 As shown, the method comprises the following steps:

[0032] Step S101, determining a plurality of loads within a target range.

[0033] Optionally, a plurality of loads requiring power supply within a preset location of the building (ie, within a target range) are determined.

[0034] Step S102, determining a DC microgrid within a target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system.

[0035] Optionally, high-efficiency photovoltaic panels are installed at preset locations of the building (i.e., within the target range) to form a photovoltaic power generation system to directly generate direct current electricity, and the photovoltaic power generation system is directly connected to a battery energy storage system to form a DC microgrid.

[0036] Step S103, distributing power to multiple loads based on a target power distribution strategy through the DC microgrid to enable the multiple loads to operate, wherein the target power distribution strategy is obtained based on power consumption data of the multiple loads in a historical time period.

[0037] Optionally, a machine learning algorithm is used to implement an optimal intelligent control strategy for energy distribution and management (i.e., a target power distribution strategy) based on power consumption data such as energy output, energy storage, and energy consumption patterns of multiple loads in a historical time period. The DC microgrid is used to distribute power to multiple loads based on the intelligent control strategy.

[0038] In summary, firstly, multiple loads to be allocated (i.e., multiple loads) within the target range are determined, and the DC microgrid is determined based on the photovoltaic power generation system and the battery energy storage system within the target range. Finally, the target power distribution strategy obtained by the DC microgrid based on the historical power consumption data of multiple loads is used to distribute power to multiple loads to ensure the smooth operation of multiple loads. Determining the target power distribution strategy based on the historical power consumption data of multiple loads can more accurately predict the demand of the loads, avoid energy waste, and improve energy utilization efficiency. At the same time, by distributing power to multiple loads based on the target power distribution strategy by the DC microgrid, load balancing of multiple loads can be achieved, avoiding overload or insufficient energy supply of some loads, thereby optimizing the operation of the power system and improving the reliability of the power system.

[0039] Optionally, in the power distribution method provided in the embodiment of the present application, determining a DC microgrid within the target range includes: installing multiple photovoltaic panels within the target range to obtain a target photovoltaic power generation system, wherein the multiple photovoltaic panels are used to convert solar energy within the target range into electrical energy; determining a target battery energy storage system based on the output power of the target photovoltaic power generation system and the power consumption patterns corresponding to multiple loads; and determining a DC microgrid based on the target photovoltaic power generation system and the target battery energy storage system.

[0040] In an optional embodiment, according to the available area of ​​the building and the local climatic conditions, multiple photovoltaic panels are installed at a preset position of the building (i.e., within the target range) to obtain direct current, thereby obtaining a target photovoltaic power generation system. And according to the expected output power of the target photovoltaic power generation system and the energy consumption mode (i.e., power consumption mode) of multiple loads in the building, a battery energy storage system (i.e., the target battery energy storage system) with matching capacity is selected. The target photovoltaic power generation system is directly connected to the target battery energy storage system through a dedicated DC line to obtain an independent DC microgrid.

[0041] It should be noted that in order to optimize the operating efficiency of the DC microgrid, a smart grid management system is integrated. The system monitors data in real time through sensors distributed on photovoltaic panels, battery energy storage and key consumption points, including the real-time power generation of photovoltaic panels, the charging and discharging status of batteries, current and voltage levels, and energy consumption of buildings. Based on this data, the system can automatically adjust the angle of photovoltaic panels to obtain the best sunshine, dynamically adjust the charging and discharging strategy of batteries, and optimize load management according to energy consumption patterns. For example: when the school conducts large-scale activities and causes a surge in energy consumption, the intelligent management system will guide the energy storage system to provide additional power to make up for the lack of photovoltaic system capacity. On the contrary, when there is sufficient sunshine and low energy consumption, the excess electricity will be stored in the battery for use when needed. The design of the entire DC microgrid takes into account easy maintenance and scalability. If the school needs to increase the area of ​​photovoltaic panels or increase the energy storage capacity in the future, it can be easily adjusted and expanded on the existing basis.

[0042] By connecting the target photovoltaic power generation system and the target battery energy storage system through a DC line, the energy loss in the energy conversion process can be reduced and the energy utilization efficiency can be improved.

[0043] Optionally, in the electricity distribution method provided in the embodiment of the present application, installing multiple photovoltaic panels within a target range to obtain a target photovoltaic power generation system includes: obtaining first attribute information corresponding to the target range, wherein the first attribute information includes at least: terrain information and location information of the target range; based on the first attribute information, determining installation information corresponding to the multiple photovoltaic panels; based on the installation information, installing multiple photovoltaic panels within the target range to obtain the target photovoltaic power generation system.

[0044] In an optional embodiment, the area, quantity information, installation location and installation orientation (i.e., installation information) of multiple photovoltaic panels are determined based on the location, available area, structure, shielding conditions of the building at the preset location and local climatic conditions (i.e., the first attribute information). A structural support suitable for multiple photovoltaic panels is designed at the preset location of the building to ensure that it can bear the weight of multiple photovoltaic panels. The structural support is installed at the preset location of the building, and multiple photovoltaic panels are fixed on the structural support to ensure that they face the correct orientation to form a complete photovoltaic array, obtain direct current, and then obtain the target photovoltaic power generation system.

[0045] It should be noted that the installation of multiple photovoltaic panels on a building facing south with a large unobstructed roof area to form a target photovoltaic power generation system is taken as an example: First, based on the measurement results of the roof of the building, the available area is determined to be 500 square meters. Combined with local climate data, the annual average power generation of photovoltaic panels per square meter is expected to be 150 kWh. Based on this, the total power of the required photovoltaic panels is calculated to be 75 kilowatts. Photovoltaic panels with an efficiency of 22% are selected, and considering system losses and subsequent expansion possibilities, it is finally determined that the total power of photovoltaic panels with a total power of 80 kilowatts is installed, divided into 160 500-watt panels. The solar radiation reception of the roof at different time periods is analyzed, and the layout and angle of the photovoltaic panels are optimized to reduce the impact of shadows and increase the amount of sunshine received. When designing the structural support, local wind load and snow load standards are taken into account to ensure that the support can safely fix multiple photovoltaic panels and keep their inclination angle at 20 degrees to obtain the best power generation efficiency. The photovoltaic panels are fixed by aluminum alloy brackets, and appropriate intervals are left between each bracket for maintenance and ventilation. All external cables are protected by protective pipes to avoid damage and environmental erosion. After the installation is complete, a system test is carried out to verify whether the overall DC output of multiple photovoltaic panels in series and in parallel is consistent with expectations, and the performance index of each photovoltaic panel is confirmed to operate normally through monitoring software. If all verifications are correct, the target photovoltaic power generation system is obtained.

[0046] By determining the installation information of multiple photovoltaic panels through the terrain information and location information of the target range, it is possible to maximize energy acquisition, optimize system design, improve system reliability, and reduce maintenance costs.

[0047] Optionally, in the power distribution method provided in the embodiment of the present application, determining the target battery energy storage system based on the output power of the target photovoltaic power generation system and the power usage patterns corresponding to the multiple loads includes: determining the battery energy storage capacity and the battery type based on the output power and the power usage pattern; determining the target battery energy storage system based on the battery energy storage capacity and the battery type.

[0048] In an optional embodiment, based on the expected output power of the target photovoltaic power generation system and the energy consumption pattern (i.e., power consumption pattern) of multiple loads in the building, a battery energy storage system with matching battery storage capacity and battery type is selected to obtain the target battery energy storage system.

[0049] It should be noted that, assuming there is a school equipped with 200 square meters of photovoltaic panels, the average daily power generation of the photovoltaic panels is 500 kWh. Based on this data and the school's specific energy consumption pattern (mainly high power consumption during the day and low power consumption at night), a battery energy storage system with a total capacity of 1,000 kWh was selected to ensure that the power demand during non-sunshine hours can be covered while storing additional energy during peak sunshine periods. The battery energy storage system uses lithium-ion batteries, and each battery cell undergoes strict quality control and performance testing to ensure long-term stable operation. The photovoltaic power generation system and the battery energy storage system are connected by a dedicated DC cable. The cable is insulated with weather-resistant materials to ensure that it is not affected by ultraviolet rays and oxidation during long-term use in outdoor environments.

[0050] By determining the target battery energy storage system based on the output power of the target photovoltaic power generation system and the power consumption patterns corresponding to multiple loads, it is possible to improve energy utilization, balance supply and demand, enhance system stability, and save energy costs.

[0051] Optionally, in the power distribution method provided in the embodiment of the present application, power distribution is performed on multiple loads based on a target power distribution strategy through a DC microgrid so that multiple loads can operate, including: if the load current type of the multiple loads is DC power, power distribution is performed on multiple loads based on a target power distribution strategy through a DC microgrid so that multiple loads can operate; if the load current type of the multiple loads is AC power, power distribution is performed on multiple loads based on a target power distribution strategy through a DC microgrid and a target converter so that multiple loads can operate, wherein the target converter is used to convert DC power in the DC microgrid into AC power.

[0052] In an optional embodiment, if the load current type of multiple loads is direct current, power is directly distributed to the multiple loads through the DC microgrid based on the target power distribution strategy; if the load current type of multiple loads is alternating current, a power electronic converter (i.e., a target converter) with a preset conversion efficiency range and power capacity is selected to convert direct current into alternating current that meets the equipment requirements, and power is distributed to the multiple loads through the DC microgrid based on the target power distribution strategy.

[0053] It should be noted that by connecting a DC power source to the input of a power electronic converter and connecting the output of the converter to a plurality of loads, the conversion of DC power to AC power can be completed.

[0054] Through the above steps, the DC microgrid can distribute power to DC loads and AC loads to ensure the normal operation of multiple loads and improve energy utilization efficiency.

[0055] Optionally, in the power distribution method provided in the embodiment of the present application, before distributing power to multiple loads based on the target power distribution strategy through the DC microgrid and the target converter to obtain a second distribution result, the method also includes: determining converter parameters based on second attribute information of the multiple loads, wherein the second attribute information at least includes: the effective value of the voltage, the input frequency and the phase angle of the multiple loads; configuring the initial converter based on the converter parameters to obtain the target converter.

[0056] In an optional embodiment, the operating parameters (i.e., converter parameters) of the power electronic converter (i.e., the initial converter) are set according to the second attribute information of multiple loads (including but not limited to: the effective value, frequency, phase angle, and waveform shape of the output voltages of multiple loads, etc.), and the power electronic converter is configured based on the above operating parameters to obtain a target converter.

[0057] It should be noted that during the operation of the converter, the parameters corresponding to the AC power output of multiple loads are continuously monitored to see if they meet the set values: if they do not meet the set values, the operating parameters of the converter need to be adjusted to ensure that the power output of multiple loads is stable and meets the demand.

[0058] It should be noted that, taking a power electronic converter with a preset conversion efficiency of 98% and a power capacity of 30 kW as an example: the converter is made of the most advanced silicon carbide (SiC) semiconductor material, with fast switching speed and high temperature working ability, thus improving energy efficiency and reliability. According to the second attribute information of multiple loads (i.e., a sine wave AC with an effective value of 220V and a frequency of 60Hz is required), the operating parameters are set through the human-machine interface of the converter to ensure that the energy conversion meets the equipment requirements. In terms of physical connection, first ensure that all DC power lines are correctly connected to the input terminals of the converter and that the input voltage meets the working range of the converter. Then, the output end of the converter is connected to the equipment in the office that needs to use AC power, such as lighting devices, computer terminals and network equipment, through a dedicated distribution cabinet. The built-in intelligent control system of the converter monitors the parameters of the output AC power in real time, including but not limited to: voltage, current, frequency and harmonic distortion. When any parameter is detected to deviate from the set value, for example: when the output voltage drops to 218V, the control system will automatically adjust the PWM (pulse width modulation) strategy to increase the operating frequency of the power switch to compensate for the voltage drop and ensure that the voltage at the load end is stable at 220V. At the same time, the thermal management system of the converter is optimized and designed, and a new type of heat pipe heat dissipation technology is adopted. This technology uses the phase change heat transfer principle of the working fluid inside the heat pipe to efficiently transfer the heat generated by the power device to the radiator, and then dissipate the heat to the environment through the fan, ensuring the thermal reliability of the converter under long-term high-load working conditions. In addition, in order to verify the performance and stability of the converter, a full-load operation test was carried out for 48 hours, during which key performance indicators such as conversion efficiency, output voltage and frequency were recorded. The results showed that the output voltage fluctuation of the converter did not exceed ±1% during the entire test period, and the conversion efficiency remained above 97.5%, proving that the power electronic converter can meet the application requirements of high performance and high reliability.

[0059] By determining the converter parameters and configuring the target converter through the second attribute information of multiple loads, the converter performance can be optimized, the system stability and response speed can be improved, the energy consumption cost can be reduced, and the occurrence of electrical problems can be reduced.

[0060] Optionally, in the power distribution method provided in the embodiment of the present application, before distributing power to multiple loads based on a target power distribution strategy through a DC microgrid to enable multiple loads to operate, the method also includes: filtering the power consumption data according to preset filtering conditions to obtain filtered power consumption data; performing mean operation on the filtered power consumption data to obtain a target calculation result; performing feature extraction on the target calculation result through a feature extraction unit of a target model to obtain power consumption characteristics corresponding to multiple loads; and predicting the power consumption of multiple loads based on the power consumption characteristics through a prediction unit of the target model to obtain a target power distribution strategy.

[0061] In an optional embodiment, the power consumption data is screened according to preset screening conditions, and abnormal values ​​or data that do not meet the conditions are removed to obtain the screened power consumption data. The screened power consumption data is averaged to obtain the average value of each data to reduce the volatility of the data and improve the stability of the data. The feature extraction unit of the target model is used to extract features from the data after the mean operation to extract power consumption features corresponding to multiple loads, such as power consumption mode, peak-valley difference, power consumption period, etc., and the prediction unit is used to predict the power consumption of multiple loads based on the power consumption features, and the prediction results are used as the target power allocation strategy to ensure that power can be allocated to each load as needed.

[0062] Through the above steps, the power consumption data can be processed and predicted, and the power consumption characteristics of multiple loads can be extracted and predicted to provide accurate data support for power distribution based on the target power distribution strategy, ensuring that multiple loads can get appropriate power supply according to demand, thereby realizing efficient operation and energy utilization of DC microgrid.

[0063] It should be noted that Figure 2 is a schematic diagram of a power distribution method provided according to an embodiment of the present application. Figure 2 As shown, first, multiple loads within the target range are determined. Then, multiple photovoltaic panels are installed within the target range to obtain a target photovoltaic power generation system, and the solar energy within the target range is converted into electrical energy based on the target photovoltaic power generation system. At the same time, based on the output power of the target photovoltaic power generation system and the power consumption mode corresponding to the multiple loads, the target battery energy storage system is determined, and the target photovoltaic power generation system and the target battery energy storage system are connected to form a DC microgrid. Finally, the DC microgrid is used to distribute power to multiple loads based on the target power distribution strategy to obtain a power distribution result so that multiple loads can operate.

[0064] The power distribution method provided in the embodiment of the present application is to determine multiple loads within the target range; determine a DC microgrid within the target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system; and distribute power to multiple loads based on a target power distribution strategy through the DC microgrid to enable multiple loads to operate, wherein the target power distribution strategy is obtained based on the power consumption data of multiple loads in a historical time period, which solves the problem of low power distribution efficiency caused by allocating power based on the use frequency of multiple loads through artificial experience in the related art. In summary, in this scheme, firstly, multiple loads to be allocated (i.e., multiple loads) within the target range are determined, and a DC microgrid is determined based on the photovoltaic power generation system and the battery energy storage system within the target range. Finally, the target power distribution strategy obtained by the DC microgrid based on the historical power consumption data of multiple loads is used to distribute power to multiple loads to ensure the smooth operation of multiple loads. Determining the target power distribution strategy through the historical power consumption data of multiple loads can more accurately predict the demand of the loads, avoid energy waste, and improve energy utilization efficiency. At the same time, by distributing power to multiple loads based on the target power distribution strategy through the DC microgrid, load balancing of multiple loads can be achieved, avoiding overload or insufficient energy supply of some loads, thereby optimizing the operation of the power system and improving the reliability of the power system.

[0065] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0066] The embodiment of the present application also provides a power distribution device. It should be noted that the power distribution device of the embodiment of the present application can be used to execute the power distribution method provided by the embodiment of the present application. The power distribution device provided by the embodiment of the present application is introduced below.

[0067] Figure 3 is a schematic diagram of a power distribution device according to an embodiment of the present application. Figure 3 As shown, the device includes: a first determining unit 301, a second determining unit 302, and an allocating unit 303.

[0068] A first determining unit 301 is used to determine a plurality of loads within a target range;

[0069] A second determining unit 302 is used to determine a DC microgrid within a target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system;

[0070] The allocation unit 303 is used to allocate power to multiple loads based on a target power allocation strategy through a DC microgrid so that the multiple loads can operate, wherein the target power allocation strategy is obtained based on power consumption data of the multiple loads in a historical time period.

[0071] The power distribution device provided in the embodiment of the present application comprises a first determining unit 301 determining multiple loads within the target range; a second determining unit 302 determining a DC microgrid within the target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system; a distribution unit 303 distributes power to multiple loads based on a target power distribution strategy through a DC microgrid, so that multiple loads can operate, wherein the target power distribution strategy is obtained based on the power consumption data of multiple loads in a historical time period, and solves the problem that the power distribution efficiency is relatively low due to the distribution of power based on the use frequency of multiple loads by artificial experience in the related art. In this scheme, multiple loads to be distributed (i.e., multiple loads) within the target range are first determined, and a DC microgrid is determined based on the photovoltaic power generation system and the battery energy storage system within the target range. Finally, the target power distribution strategy obtained by the DC microgrid based on the historical power consumption data of multiple loads is used to distribute power to multiple loads to ensure the smooth operation of multiple loads. Determining the target power distribution strategy through the historical power consumption data of multiple loads can more accurately predict the demand of the loads, avoid energy waste, and improve energy utilization efficiency. At the same time, by distributing power to multiple loads based on the target power distribution strategy through the DC microgrid, load balancing of multiple loads can be achieved, avoiding overload or insufficient energy supply of some loads, thereby optimizing the operation of the power system and improving the reliability of the power system.

[0072] Optionally, in the power distribution device provided in the embodiment of the present application, the second determination unit includes: an installation module, used to install multiple photovoltaic panels within the target range to obtain a target photovoltaic power generation system, wherein the multiple photovoltaic panels are used to convert solar energy within the target range into electrical energy; a first determination module, used to determine the target battery energy storage system based on the output power of the target photovoltaic power generation system and the power consumption mode corresponding to multiple loads; and a second determination module, used to determine a DC microgrid based on the target photovoltaic power generation system and the target battery energy storage system.

[0073] Optionally, in the power distribution device provided in the embodiment of the present application, the installation module includes: an acquisition submodule, used to acquire first attribute information corresponding to the target range, wherein the first attribute information includes at least: terrain information and location information of the target range; a first determination submodule, used to determine the installation information corresponding to multiple photovoltaic panels based on the first attribute information; and an installation submodule, used to install multiple photovoltaic panels within the target range based on the installation information to obtain a target photovoltaic power generation system.

[0074] Optionally, in the power distribution device provided in the embodiment of the present application, the first determination module includes: a second determination submodule, used to determine the battery energy storage capacity and the battery type based on the output power and the power usage mode; and a third determination submodule, used to determine the target battery energy storage system based on the battery energy storage capacity and the battery type.

[0075] Optionally, in the power distribution device provided in the embodiment of the present application, the distribution unit includes: a first distribution module, which is used to distribute power to the multiple loads based on a target power distribution strategy through a DC microgrid if the load current type of the multiple loads is DC power, so that the multiple loads can operate; a second distribution module, which is used to distribute power to the multiple loads based on a target power distribution strategy through a DC microgrid and a target converter if the load current type of the multiple loads is AC power, so that the multiple loads can operate, wherein the target converter is used to convert DC power in the DC microgrid into AC power.

[0076] Optionally, in the power distribution device provided in the embodiment of the present application, the device also includes: a third determination unit, used to determine converter parameters based on second attribute information of the multiple loads before distributing power to multiple loads based on the target power distribution strategy through the DC microgrid and the target converter to obtain a second distribution result, wherein the second attribute information includes at least: the effective value of the voltage, the input frequency and the phase angle of the multiple loads; a configuration unit, used to configure the initial converter according to the converter parameters to obtain the target converter.

[0077] Optionally, in the power distribution device provided in the embodiment of the present application, the device also includes: a screening unit, which is used to distribute power to multiple loads based on a target power distribution strategy through a DC microgrid, so that before the multiple loads are operated, the power consumption data is screened according to preset screening conditions to obtain screened power consumption data; a calculation unit, which is used to perform mean operation on the screened power consumption data to obtain a target calculation result; an extraction unit, which is used to extract features from the target calculation result through a feature extraction unit of a target model to obtain power consumption features corresponding to multiple loads; and a prediction unit, which is used to predict the power consumption of multiple loads based on the power consumption features through the prediction unit of the target model to obtain a target power distribution strategy.

[0078] The power distribution device includes a processor and a memory. The above-mentioned first determination unit 301, second determination unit 302, distribution unit 303, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to achieve efficient distribution of power.

[0079] The processor contains a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the efficient allocation of power can be achieved by adjusting the kernel parameters.

[0080] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0081] An embodiment of the present invention provides a computer-readable storage medium on which a program is stored. When the program is executed by a processor, a power distribution method is implemented.

[0082] An embodiment of the present invention provides a processor, which is used to run a program, wherein a power allocation method is executed when the program is running.

[0083] like Figure 4 As shown, an embodiment of the present invention provides an electronic device, the device includes a processor, a memory, and a program stored in the memory and executable on the processor, and the processor implements the following steps when executing the program: determining multiple loads within a target range; determining a DC microgrid within the target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system; and distributing power to the multiple loads based on a target power distribution strategy through the DC microgrid to enable the multiple loads to operate, wherein the target power distribution strategy is obtained based on power consumption data of the multiple loads in a historical time period.

[0084] Optionally, determining a DC microgrid within a target range includes: installing a plurality of photovoltaic panels within the target range to obtain a target photovoltaic power generation system, wherein the plurality of photovoltaic panels are used to convert solar energy within the target range into electrical energy; determining a target battery energy storage system based on an output power of the target photovoltaic power generation system and power consumption patterns corresponding to a plurality of loads; and determining a DC microgrid based on the target photovoltaic power generation system and the target battery energy storage system.

[0085] Optionally, installing multiple photovoltaic panels within a target range to obtain a target photovoltaic power generation system includes: obtaining first attribute information corresponding to the target range, wherein the first attribute information includes at least: terrain information and location information of the target range; based on the first attribute information, determining installation information corresponding to the multiple photovoltaic panels; based on the installation information, installing multiple photovoltaic panels within the target range to obtain the target photovoltaic power generation system.

[0086] Optionally, determining the target battery energy storage system based on the output power of the target photovoltaic power generation system and the power usage patterns corresponding to the multiple loads includes: determining the battery energy storage capacity and the battery type based on the output power and the power usage pattern; determining the target battery energy storage system based on the battery energy storage capacity and the battery type.

[0087] Optionally, allocating power to multiple loads based on a target power distribution strategy through a DC microgrid so that the multiple loads can operate includes: if the load current type of the multiple loads is DC power, allocating power to multiple loads based on a target power distribution strategy through a DC microgrid so that the multiple loads can operate; if the load current type of the multiple loads is AC power, allocating power to multiple loads based on a target power distribution strategy through a DC microgrid and a target converter so that the multiple loads can operate, wherein the target converter is used to convert DC power in the DC microgrid into AC power.

[0088] Optionally, before distributing power to multiple loads based on the target power distribution strategy through the DC microgrid and the target converter to obtain a second distribution result, the method also includes: determining converter parameters based on second attribute information of the multiple loads, wherein the second attribute information at least includes: the effective value of the voltage, input frequency and phase angle of the multiple loads; configuring the initial converter based on the converter parameters to obtain the target converter.

[0089] Optionally, before distributing power to multiple loads based on a target power distribution strategy through a DC microgrid to enable multiple loads to operate, the method also includes: filtering the power consumption data according to preset filtering conditions to obtain filtered power consumption data; performing mean operation on the filtered power consumption data to obtain a target calculation result; performing feature extraction on the target calculation result through a feature extraction unit of a target model to obtain power consumption characteristics corresponding to multiple loads; and predicting the power consumption of multiple loads based on the power consumption characteristics through a prediction unit of the target model to obtain a target power distribution strategy.

[0090] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0091] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that initializes the following method steps: determining multiple loads within a target range; determining a DC microgrid within the target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system; and distributing power to the multiple loads based on a target power distribution strategy through the DC microgrid to enable the multiple loads to operate, wherein the target power distribution strategy is obtained based on power consumption data of the multiple loads in a historical time period.

[0092] Optionally, determining a DC microgrid within a target range includes: installing a plurality of photovoltaic panels within the target range to obtain a target photovoltaic power generation system, wherein the plurality of photovoltaic panels are used to convert solar energy within the target range into electrical energy; determining a target battery energy storage system based on an output power of the target photovoltaic power generation system and power consumption patterns corresponding to a plurality of loads; and determining a DC microgrid based on the target photovoltaic power generation system and the target battery energy storage system.

[0093] Optionally, installing multiple photovoltaic panels within a target range to obtain a target photovoltaic power generation system includes: obtaining first attribute information corresponding to the target range, wherein the first attribute information includes at least: terrain information and location information of the target range; based on the first attribute information, determining installation information corresponding to the multiple photovoltaic panels; based on the installation information, installing multiple photovoltaic panels within the target range to obtain the target photovoltaic power generation system.

[0094] Optionally, determining the target battery energy storage system based on the output power of the target photovoltaic power generation system and the power usage patterns corresponding to the multiple loads includes: determining the battery energy storage capacity and the battery type based on the output power and the power usage pattern; determining the target battery energy storage system based on the battery energy storage capacity and the battery type.

[0095] Optionally, allocating power to multiple loads based on a target power distribution strategy through a DC microgrid so that the multiple loads can operate includes: if the load current type of the multiple loads is DC power, allocating power to multiple loads based on a target power distribution strategy through a DC microgrid so that the multiple loads can operate; if the load current type of the multiple loads is AC power, allocating power to multiple loads based on a target power distribution strategy through a DC microgrid and a target converter so that the multiple loads can operate, wherein the target converter is used to convert DC power in the DC microgrid into AC power.

[0096] Optionally, before distributing power to multiple loads based on the target power distribution strategy through the DC microgrid and the target converter to obtain a second distribution result, the method also includes: determining converter parameters based on second attribute information of the multiple loads, wherein the second attribute information at least includes: the effective value of the voltage, input frequency and phase angle of the multiple loads; configuring the initial converter based on the converter parameters to obtain the target converter.

[0097] Optionally, before distributing power to multiple loads based on a target power distribution strategy through a DC microgrid to enable multiple loads to operate, the method also includes: filtering the power consumption data according to preset filtering conditions to obtain filtered power consumption data; performing mean operation on the filtered power consumption data to obtain a target calculation result; performing feature extraction on the target calculation result through a feature extraction unit of a target model to obtain power consumption characteristics corresponding to multiple loads; and predicting the power consumption of multiple loads based on the power consumption characteristics through a prediction unit of the target model to obtain a target power distribution strategy.

[0098] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0099] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0100] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0101] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0102] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0103] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0104] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0105] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0106] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0107] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for distributing power, characterized in that: include: Identify multiple loads within the target range; Determining a DC microgrid within the target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system; The DC microgrid distributes power to the multiple loads based on a target power distribution strategy so that the multiple loads can operate, wherein the target power distribution strategy is obtained based on power consumption data of the multiple loads in a historical time period.

2. The method according to claim 1, characterized in that The DC microgrids determined to be within the target range include: Installing a plurality of photovoltaic panels within the target range to obtain a target photovoltaic power generation system, wherein the plurality of photovoltaic panels are used to convert solar energy within the target range into electrical energy; Determining a target battery energy storage system according to the output power of the target photovoltaic power generation system and the power consumption modes corresponding to the multiple loads; The DC microgrid is determined based on the target photovoltaic power generation system and the target battery energy storage system.

3. The method according to claim 2, characterized in that Installing a plurality of photovoltaic panels within the target range to obtain a target photovoltaic power generation system includes: Acquire first attribute information corresponding to the target range, wherein the first attribute information at least includes: terrain information and location information of the target range; Determining installation information corresponding to the plurality of photovoltaic panels according to the first attribute information; According to the installation information, the plurality of photovoltaic panels are installed within the target range to obtain the target photovoltaic power generation system.

4. The method according to claim 2, characterized in that: Determining a target battery energy storage system according to the output power of the target photovoltaic power generation system and the power consumption modes corresponding to the multiple loads includes: Determining the battery energy storage capacity and the battery type according to the output power and the power usage mode; The target battery energy storage system is determined according to the battery energy storage capacity and the battery type.

5. The method according to claim 1, characterized in that The DC microgrid distributes power to the multiple loads based on the target power distribution strategy so that the multiple loads operate, including: If the load current type of the multiple loads is direct current, the DC microgrid distributes power to the multiple loads based on the target power distribution strategy so that the multiple loads can operate; If the load current type of the multiple loads is alternating current, power is distributed to the multiple loads based on the target power distribution strategy through the DC microgrid and the target converter to enable the multiple loads to operate, wherein the target converter is used to convert the DC power in the DC microgrid into AC power.

6. The method according to claim 5, characterized in that Before distributing power to the multiple loads based on the target power distribution strategy through the DC microgrid and the target converter to obtain a second distribution result, the method further includes: Determine converter parameters according to second attribute information of the multiple loads, wherein the second attribute information at least includes: voltage effective values, input frequencies and phase angles of the multiple loads; The initial converter is configured according to the converter parameters to obtain the target converter.

7. The method according to claim 1, characterized in that Before distributing power to the multiple loads based on the target power distribution strategy through the DC microgrid so as to enable the multiple loads to operate, the method further includes: Filtering the power consumption data according to a preset filtering condition to obtain filtered power consumption data; Performing mean calculation on the filtered power consumption data to obtain a target calculation result; Extracting features from the target calculation result by a feature extraction unit of the target model to obtain power consumption features corresponding to the multiple loads; The target power distribution strategy is obtained by predicting the power consumption of the multiple loads based on the power consumption characteristics through the prediction unit of the target model.

8. An electric power distribution device, characterized in that: include: A first determining unit, configured to determine a plurality of loads within a target range; A second determining unit is used to determine a DC microgrid within the target range, wherein the DC microgrid is composed of a photovoltaic power generation system and a battery energy storage system; A distribution unit is used to distribute power to the multiple loads based on a target power distribution strategy through the DC microgrid so that the multiple loads can operate, wherein the target power distribution strategy is obtained based on power consumption data of the multiple loads in a historical time period.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the storage medium is controlled to execute the power distribution method according to any one of claims 1 to 7 on a device.

10. An electronic device, characterized in that: It includes one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the power allocation method described in any one of claims 1 to 7.

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