Intelligent energy distribution method and system for optical storage charging station in different scenes
By obtaining the power usage conditions information of the target user and calculating the optimal power supply solution using the intelligent allocation model, the problem of lack of flexibility in the existing power supply system is solved, intelligent power supply solution selection and automatic power supply are realized, and the efficiency and reliability of power supply are improved.
Patent Information
- Application Number
- CN202510080742.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-17
- Publication Date
- 2025-05-30
AI Technical Summary
The existing power supply site control system fails to effectively consider other factors of the target user's electricity usage, resulting in a lack of flexibility and flexibility in the power supply method and fails to choose a reasonable power supply plan.
By obtaining the power usage conditions information of the target user, the optimal power supply scheme is calculated using the intelligent allocation model, including the target power supply site, power supply power and power supply method, and power supply automatically supplies power according to the power supply task.
It realizes intelligent selection of power supply solutions based on the power consumption conditions of the target users, improves the flexibility and efficiency of power supply, and ensures that the target users receive reasonable and reliable power supply.
Smart Images

Figure CN120073672A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of charging stations, and specifically relates to a method and system for intelligent energy distribution of a photovoltaic and energy storage charging station under different scenarios. Background Art
[0002] With the continuous development of society, the continuous increase and expansion of power supply stations have made the control costs and difficulties of power supply stations continuously increase. The existing power supply station control systems mainly supply power to target users directly according to the distribution distance based on the distribution of each power supply station, without considering other factors of the target users' electricity consumption and the impact on the power supply method, lacking flexibility and adaptability, and failing to select a reasonable power supply plan. Summary of the Invention
[0003] An embodiment of the present application discloses a method and system for intelligent energy distribution of a photovoltaic and energy storage charging station under different scenarios, which can reasonably select the optimal power supply plan and intelligently supply power to target users.
[0004] An embodiment of the present application discloses a method for intelligent energy distribution of a photovoltaic and energy storage charging station under different scenarios, including:
[0005] Obtaining the power consumption condition information corresponding to the target user; the power consumption condition information includes the power supply distance and the mains power data;
[0006] Calculating the power supply plan corresponding to the target user through an intelligent distribution model according to the power consumption condition information corresponding to the target user; the power supply plan includes the target power supply station, the power supply power, and the power supply method;
[0007] Receiving the power supply task corresponding to the target user, and supplying power to the target user according to the power supply plan and the power supply task corresponding to the target user; the power supply task includes the total power supply.
[0008] As an optional implementation manner, calculating the power supply plan corresponding to the target user through an intelligent distribution model according to the power consumption condition information corresponding to the target user includes:
[0009] Judging whether the power supply distance corresponding to the target user is less than a preset distance threshold through the intelligent distribution model;
[0010] If it is determined that the power supply distance corresponding to the target user is less than the preset distance threshold, it is determined that the power supply plan corresponding to the target user is DC remote power supply.
[0011] As an optional implementation manner, the power consumption condition information further includes an importance coefficient; the importance coefficient is used to indicate the importance degree of the power supply; calculating the power supply plan corresponding to the target user through an intelligent distribution model according to the power consumption condition information corresponding to the target user includes:
[0012] Feature extraction is performed on the mains power data in the power consumption condition information through an intelligent allocation model to obtain the mains power data features;
[0013] According to the mains power data features and the importance coefficient, select the corresponding power supply plan for the target user.
[0014] As an alternative implementation, according to the mains power data features and the importance coefficient, selecting the corresponding power supply plan for the target user includes:
[0015] If the mains power data features are within the first data range, select nearby power supply as the power supply plan corresponding to the target user;
[0016] If the mains power data features are within the second data range, select one of DC boost remote power supply or AC inverter remote power supply according to the importance coefficient as the power supply plan corresponding to the target user.
[0017] As an alternative implementation, according to the importance coefficient, selecting one of DC boost remote power supply or AC inverter remote power supply as the power supply plan corresponding to the target user includes:
[0018] If the importance coefficient is greater than the preset importance threshold, select DC boost remote power supply as the power supply plan corresponding to the target user;
[0019] If the importance coefficient is less than or equal to the preset importance threshold, select AC inverter remote power supply as the power supply plan corresponding to the target user.
[0020] As an alternative implementation, according to the power supply plan corresponding to the target user and the power supply task, power the target user, including:
[0021] Judge whether the total power supply in the power supply task is greater than the current stored power of the target power supply station;
[0022] If it is determined that the total power supply is greater than or equal to the current stored power of the target power supply station, directly power the target user according to the target power supply station;
[0023] If it is determined that the total power supply is less than the current stored power of the target power supply station, stop accessing other power supply tasks, and generate a power support plan according to the current stored power and power transmission rate of other power supply stations within the area of the target power supply station;
[0024] According to the power support plan, provide power support to the target power supply station.
[0025] As an alternative implementation, generating a power support plan according to the current stored power and power transmission rate of other power supply stations within the area of the target power supply station includes:
[0026] Select other power supply stations with the maximum power transmission rate within the selected area as support stations, and calculate the product of the power transmission rate and the stored power of the support stations;
[0027] Calculate the difference between the current stored power of the target power supply station and the total power supply in the power supply task;
[0028] If the product is greater than or equal to the difference, generate a power support plan for the support station to support the target power supply station;
[0029] If the product is less than the difference, re-select a new other power supply station as the support station according to the power transmission rate of each other power supply station, and re-execute the step of calculating the product of the power transmission rate and the stored power of the support station until a power support plan is generated.
[0030] An embodiment of the present application discloses an intelligent energy distribution system for a photovoltaic and energy storage charging station under different scenarios, including:
[0031] An acquisition module, configured to acquire power consumption condition information corresponding to a target user; the power consumption condition information includes a power supply distance and mains power data;
[0032] A calculation module, configured to calculate a power supply plan corresponding to the target user through an intelligent distribution model according to the power consumption condition information corresponding to the target user; the power supply plan includes a target power supply station, a power supply power, and a power supply method;
[0033] A power supply module, configured to receive a power supply task corresponding to the target user, and supply power to the target user according to the power supply plan and the power supply task corresponding to the target user; the power supply task includes a total power supply.
[0034] An embodiment of the present application discloses an electronic device, including a memory and a processor. When a computer program stored in the memory is executed by the processor, the processor implements any one of the intelligent energy distribution methods for a photovoltaic and energy storage charging station under different scenarios disclosed in the embodiments of the present application.
[0035] An embodiment of the present application discloses a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, any one of the intelligent energy distribution methods for a photovoltaic and energy storage charging station under different scenarios disclosed in the embodiments of the present application is implemented.
[0036] Compared with the related art, the embodiments of the present application have the following beneficial effects:
[0037] An embodiment of the present application provides a method and system for intelligent energy distribution of a photovoltaic energy storage charging station in different scenarios, which obtains power consumption condition information corresponding to a target user; the power consumption condition information includes the power supply distance and mains power data; through an intelligent distribution model, according to the power consumption condition information corresponding to the target user, calculates a power supply plan corresponding to the target user; the power supply plan includes a target power supply station, a power supply power, and a power supply method; receives a power supply task corresponding to the target user, and supplies power to the target user according to the power supply plan and the power supply task corresponding to the target user; the power supply task includes the total power supply amount. Implementing the embodiment of the present application can, according to the obtained power consumption condition information corresponding to the target user, directly calculate the power supply plan corresponding to the target user through the intelligent distribution model, and when receiving the power supply task corresponding to the target user, automatically supply power to the target user according to the power supply plan and the power supply task corresponding to the target user, without manually adjusting the power distribution of the power supply station, and can reasonably select the optimal power supply plan and intelligently supply power to the target user. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0039] Figure 1 is a flowchart showing a method for intelligent energy distribution of a photovoltaic energy storage charging station in different scenarios disclosed in an embodiment of the present application;
[0040] Figure 2 is a flowchart showing the process of calculating a power supply plan corresponding to a target user through an intelligent distribution model according to the power consumption condition information corresponding to the target user disclosed in an embodiment of the present application;
[0041] Figure 3 is a flowchart showing the process of supplying power to a target user according to the power supply plan and the power supply task corresponding to the target user disclosed in an embodiment of the present application;
[0042] Figure 4 is a schematic structural diagram of a system for intelligent energy distribution of a photovoltaic energy storage charging station in different scenarios disclosed in an embodiment of the present application;
[0043] Figure 5 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0044] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
[0045] It should be noted that the terms "including" and "having" and any variations thereof in the embodiments of the present application and the accompanying drawings are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or devices.
[0046] The embodiments of the present application disclose an intelligent energy distribution method and system for a photovoltaic and energy storage charging station in different scenarios, which can reasonably select the optimal power supply plan and intelligently supply power to target users. The following will be described in detail respectively.
[0047] Figure 1 It is a schematic flow chart of an intelligent energy distribution method for a photovoltaic and energy storage charging station in different scenarios disclosed in the embodiments of the present application. Among them, Figure 1 The described intelligent energy distribution method for a photovoltaic and energy storage charging station in different scenarios is applicable to an electronic device, and the electronic device can control the power distribution situation of the power supply station. As Figure 1 shown, the intelligent energy distribution method for a photovoltaic and energy storage charging station in different scenarios may include the following steps:
[0048] Step S101, obtain the power consumption condition information corresponding to the target user; the power consumption condition information includes the power supply distance and the mains power data.
[0049] In some embodiments, the electronic device may store the power consumption condition information corresponding to each user. The power consumption condition information corresponding to each user may be obtained through research by the staff and input into the electronic device for storage. The power consumption condition information may include the power supply distance and the mains power data. Among them, the power supply distance refers to the distance that needs to lay wires between the target user and the target power supply station, and the mains power data can be used to indicate the mains power laying situation near the target user.
[0050] Step S102, calculate the power supply plan corresponding to the target user according to the power consumption condition information corresponding to the target user through the intelligent distribution model; the power supply plan includes the target power supply station, the power supply power, and the power supply method.
[0051] In some embodiments, the power supply plan may include a target power supply site, a power supply power, and a power supply method. Among them, the target power supply site is the power supply site that supplies power to the target user, the power supply power refers to the power at which the target power supply site supplies power to the target user, and the power supply method may refer to the form in which the target power supply site supplies power to the target user, such as supplying power in the form of direct current or alternating current.
[0052] As an implementation method, the electronic device can judge whether the power supply distance corresponding to the target user is less than a preset distance threshold through an intelligent allocation model; if it is determined that the power supply distance corresponding to the target user is less than the preset distance threshold, it is determined that the power supply plan corresponding to the target user is DC remote power supply. If it is determined that the power supply distance corresponding to the target user is greater than or equal to the preset distance threshold, the power supply plan corresponding to the target user can be determined according to the mains data. Among them, DC remote power supply usually adds an outdoor DC distribution unit device with lightning protection function at the location of the target user, and leads a DC power supply from the central computer room to the DC distribution unit device, and the target user can directly draw power from the DC distribution unit device. Considering DC voltage drop, line loss and economy, the maximum allowable power supply distance of DC cables is relatively short, the wire diameter is relatively thick, and the construction difficulty is large. Generally, the pulling distance cannot exceed 200 meters. Therefore, the above distance threshold can be set to 200 meters.
[0053] The electronic device judges whether the power supply distance corresponding to the target user is less than the preset distance threshold through the intelligent allocation model. If it is determined that the power supply distance corresponding to the target user is less than the preset distance threshold, it is determined that the power supply plan corresponding to the target user is DC remote power supply, which can initially judge whether to experiment with the DC remote power supply method for power supply according to the power supply distance, and improves the efficiency of obtaining the power supply plan to a certain extent.
[0054] Step S103, receive the power supply task corresponding to the target user, and supply power to the target user according to the power supply plan and the power supply task corresponding to the target user; the power supply task includes the total power supply.
[0055] In some embodiments, the target user can generate a power supply task in real time. After the electronic device receives the power supply task, it can supply power to the target user according to the power supply plan and the power supply task corresponding to the target user. Among them, the power supply task includes the total power supply required by the target user.
[0056] In the embodiments of the present application, the power consumption condition information corresponding to the target user is obtained. According to the power consumption condition information corresponding to the target user, the power supply scheme corresponding to the target user is calculated through the intelligent allocation model. The power supply task corresponding to the target user is received. According to the power supply scheme and the power supply task corresponding to the target user, power is supplied to the target user. It is possible to directly calculate the power supply scheme corresponding to the target user through the intelligent allocation model based on the obtained power consumption condition information corresponding to the target user. And when the power supply task corresponding to the target user is received, according to the power supply scheme and the power supply task corresponding to the target user, power is automatically supplied to the target user without manually adjusting the power distribution of the power supply station, being able to reasonably select the optimal power supply scheme and intelligently supply power to the target user.
[0057] Figure 2 It is a schematic flow chart of calculating the power supply scheme corresponding to the target user through the intelligent allocation model according to the power consumption condition information corresponding to the target user disclosed in the embodiments of the present application. In one embodiment, as Figure 2 shown, the step of calculating the power supply scheme corresponding to the target user through the intelligent allocation model according to the power consumption condition information corresponding to the target user further includes the following steps:
[0058] Step S201, extracting features from the mains power data in the power consumption condition information through the intelligent allocation model to obtain mains power data features.
[0059] Step S202, selecting the power supply scheme corresponding to the corresponding target user according to the mains power data features and the importance coefficients.
[0060] In some embodiments, the mains power data may include data such as the number of mains power or the mains power distribution density in the area where the target user is located. The electronic device extracts features from the mains power data through the intelligent allocation model to obtain mains power feature data, and this mains power feature data can be used to describe the features of the distributed mains power in the area where the target user is located.
[0061] If the mains power data characteristics are within the first data range, the nearby power supply is selected as the power supply scheme corresponding to the target user; if the mains power data characteristics are within the second data range, one of the DC boost remote power supply or AC inverter remote power supply is selected according to the importance coefficient as the power supply scheme corresponding to the target user. The mains power data characteristics being within the first data range can be used to indicate that it is easy to introduce the mains power in the area where the target user is located and the introduction cost is low. Therefore, the nearby power supply scheme can be selected. The mains power data characteristics being within the second data range can be used to indicate that it is difficult to introduce the mains power in the area where the target user is located and the introduction cost is high. Among them, the nearby power supply can include nearby DC power supply and nearby AC power supply. For the nearby DC power supply, an outdoor DC integrated power supply is newly built at the target user, which includes a rectifier module of -4 and a battery pack to supply power to the target user. For the nearby AC power supply, generally an outdoor AC integrated UPS power supply is installed at the target user to supply power to the target user. Considering the power supply safety, reliability, inverter efficiency, etc., DC power supply is generally recommended. The nearby power supply can ensure the uninterrupted power supply requirement of the target user, without the need for long-distance cable laying, with low construction difficulty, small cable loss, no occupancy of the computer room space, and no impact on the power supply safety of the signal source base station. However, the nearby power supply is related to the quality of the mains power introduction. The coordination period of the mains power introduction is long, which will increase the investment in the mains power introduction and the integrated power supply equipment. The integrated power supply equipment needs to consider requirements such as dust prevention, rain and snow prevention, and anti-theft, and configure a battery pack, and the floor load-bearing requirements need to be considered. When there is a relatively reliable mains power source that can be connected at the target user and the introduction cost is not high, a mains power source can be introduced nearby to supply power to the target user to further ensure the power supply reliability.
[0062] Further, the electronic device selects one of the DC boost remote power supply or AC inverter remote power supply according to the importance coefficient as the power supply scheme corresponding to the target user. It can be that if the importance coefficient is greater than the preset importance threshold, the DC boost remote power supply is selected as the power supply scheme corresponding to the target user; if the importance coefficient is less than or equal to the preset importance threshold, the AC inverter remote power supply is selected as the power supply scheme corresponding to the target user. Among them, the importance coefficient can be used to describe the importance degree of ensuring the power consumption of the target user. For example, if powering transportation trunk lines such as high-speed railways and subways, the importance coefficient can be set relatively high; if powering civilian uses such as mountain base stations and rural areas, the importance coefficient can be set relatively low. Optionally, the importance coefficient can be set in the electronic device by the staff when inputting the user's power consumption information.
[0063] Among them, DC boost remote power supply draws power from the target power supply site, uses the -48V power supply in the signal source computer room of the target power supply site, boosts it to 280V through DC / DC isolation at the bureau end device, and then transmits it to the target user through a power cable. The power cable and optical cable are erected on the same pole, or an optical power composite cable is used. At the target user, the voltage is reduced to -48V through a remote step-down module, enabling power supply to the target user at the remote end. Considering factors such as cable investment and construction difficulty, it is recommended that the pulling distance does not exceed 3 kilometers, and in special cases, it does not exceed 5 km.
[0064] AC inverter remote power supply adds 1 communication dedicated modular inverter power supply device in the central computer room of the target power supply site, inverses the -48V DC in the central computer room into 220V AC power, and uses an AC cable to erect along the optical cable pole path. In the case of no optical cable pole path, it can supply power to the target user at the remote end through power poles, newly added pole paths or underground burial.
[0065] If the importance coefficient of the electronic device is greater than the preset importance threshold, the DC boost remote power supply is selected as the power supply scheme corresponding to the target user. If the importance coefficient is less than or equal to the preset importance threshold, the AC inverter remote power supply is selected as the power supply scheme corresponding to the target user. It can consider the power supply situation of the target user from a multi-dimensional perspective, so as to determine the optimal power supply scheme.
[0066] In the embodiment of the present application, the intelligent allocation model extracts features from the mains data in the power consumption condition information to obtain the mains data features. According to the mains data features and the importance coefficient, the power supply scheme corresponding to the target user is selected, and the optimal power supply scheme can be reasonably selected.
[0067] Please refer to Figure 3 , Figure 3 It is a schematic flow chart of power supply to the target user according to the power supply scheme and power supply task corresponding to the target user disclosed in the embodiment of the present application. In one embodiment, the step of power supply to the target user according to the power supply scheme and power supply task corresponding to the target user further includes the following steps:
[0068] Step S301, determine whether the total power supply in the power supply task is greater than the current stored power of the target power supply site.
[0069] Step S302, if it is determined that the total power supply is greater than or equal to the current stored power of the target power supply site, directly supply power to the target user according to the target power supply site.
[0070] Step S303, if it is determined that the total power supply is less than the current stored power of the target power supply site, stop accessing other power supply tasks, and generate a power support scheme according to the current stored power and power transmission rate of other power supply sites within the area of the target power supply site.
[0071] In some embodiments, the electronic device may select other power supply stations with the maximum power transmission rate within the area range as support stations, and calculate the product of the power transmission rate and the stored power of the support stations; calculate the difference between the current stored power of the target power supply station and the total power supply in the power supply task; if the product is greater than or equal to the difference, generate a power support plan for the support station to support the target power supply station; if the product is less than the difference, re-select a new other power supply station as the support station according to the power transmission rate of each other power supply station, and re-execute the step of calculating the product of the power transmission rate and the stored power of the support station until a power support plan is generated. Wherein, the power transmission rate may refer to the transmission rate of the support station transmitting power to the target station. If the product is greater than or equal to the difference, generate a power support plan for the support station to support the target power supply station, and the electronic device may control the support station to transmit power to the target power supply station until the difference between the target power supply station and the total power supply in the power supply task is zero, thereby completing the power supply to the target user.
[0072] By selecting other power supply stations with the maximum power transmission rate within the area range as support stations, calculating the product of the power transmission rate and the stored power of the support stations, and calculating the difference between the current stored power of the target power supply station and the total power supply in the power supply task, the electronic device determines the support station, which can ensure the smooth completion of the power supply task of the target user, ensure the stability of the power supply to the target user, and can intelligently supply power to the target user.
[0073] Step S304, perform power support on the target power supply station according to the power support plan.
[0074] In the embodiments of the present application, it is judged whether the total power supply in the power supply task is greater than the current stored power of the target power supply station. If it is determined that the total power supply is greater than or equal to the current stored power of the target power supply station, the target user is directly powered according to the target power supply station. If it is determined that the total power supply is less than the current stored power of the target power supply station, other power supply tasks are stopped from being connected, and a power support plan is generated according to the current stored power and power transmission rate of other power supply stations within the area range of the target power supply station, and power support is performed on the target power supply station according to the power support plan, which can intelligently supply power to the target user.
[0075] Please refer to Figure 4 , Figure 4 which is a schematic structural diagram of an energy intelligent distribution system for a photovoltaic and energy storage charging station in different scenarios disclosed in the embodiments of the present application. This system can be applied to the above-mentioned electronic device. As Figure 4 shown, an energy intelligent distribution system 400 for a photovoltaic and energy storage charging station in different scenarios may include: an acquisition module 401, a calculation module 402, and a power supply module 403.
[0076] An acquisition module 401, configured to acquire power consumption condition information corresponding to a target user; the power consumption condition information includes a power supply distance and mains power data;
[0077] A calculation module 402, configured to calculate a power supply plan corresponding to the target user according to the power consumption condition information corresponding to the target user through an intelligent allocation model; the power supply plan includes a target power supply station, a power supply power, and a power supply method;
[0078] A power supply module 403, configured to receive a power supply task corresponding to the target user, and supply power to the target user according to the power supply plan and the power supply task corresponding to the target user; the power supply task includes a total power supply amount.
[0079] In one embodiment, the calculation module 402 further includes a distance judgment unit and a plan determination unit:
[0080] The distance judgment unit is configured to judge whether the power supply distance corresponding to the target user is less than a preset distance threshold through the intelligent allocation model;
[0081] The plan determination unit is configured to determine that the power supply plan corresponding to the target user is DC remote power supply if it is determined that the power supply distance corresponding to the target user is less than the preset distance threshold.
[0082] In one embodiment, the calculation module 402 further includes a feature extraction unit and a plan selection unit:
[0083] The feature extraction unit is configured to extract features from the mains power data in the power consumption condition information through the intelligent allocation model to obtain mains power data features;
[0084] The plan selection unit is configured to select a power supply plan corresponding to the target user according to the mains power data features and importance coefficients.
[0085] In one embodiment, the plan selection unit further includes a first selection subunit and a second selection subunit:
[0086] The first selection subunit is configured to select nearby power supply as the power supply plan corresponding to the target user if the mains power data features are within a first data range;
[0087] The second selection subunit is configured to select one of DC boost remote power supply or AC inverter remote power supply as the power supply plan corresponding to the target user according to the importance coefficient if the mains power data features are within a second data range.
[0088] In one embodiment, the second selection subunit is further configured to select DC boost remote power supply as the power supply solution corresponding to the target user if the importance coefficient is greater than a preset importance threshold; and select AC inverter remote power supply as the power supply solution corresponding to the target user if the importance coefficient is less than or equal to the preset importance threshold.
[0089] In one embodiment, the power supply module 403 further includes a power quantity judgment unit, a first determination unit, a second determination unit, and a power support unit:
[0090] The power quantity judgment unit is configured to judge whether the total power supply in the power supply task is greater than the current stored power quantity of the target power supply station;
[0091] The first determination unit is configured to directly supply power to the target user according to the target power supply station if it is determined that the total power supply is greater than or equal to the current stored power quantity of the target power supply station;
[0092] The second determination unit is configured to stop accessing other power supply tasks if it is determined that the total power supply is less than the current stored power quantity of the target power supply station, and generate a power support plan according to the current stored power quantity and power transmission rate of other power supply stations within the area range of the target power supply station;
[0093] The power support unit is configured to perform power support on the target power supply station according to the power support plan.
[0094] In one embodiment, the second determination unit is further configured to select the other power supply station with the largest power transmission rate within the area range as the support station, and calculate the product of the power transmission rate and the stored power quantity of the support station; calculate the difference between the current stored power quantity of the target power supply station and the total power supply in the power supply task; if the product is greater than or equal to the difference, generate a power support plan for the support station to support the target power supply station; if the product is less than the difference, re-select a new other power supply station as the support station according to the power transmission rate of each other power supply station, and re-execute the step of calculating the product of the power transmission rate and the stored power quantity of the support station until a power support plan is generated.
[0095] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application. As Figure 5 shown, the electronic device 500 may include:
[0096] A memory 501 storing executable program code;
[0097] A processor 502 coupled to the memory 501;
[0098] Among them, the processor 502 invokes the executable program code stored in the memory 501 to execute any one of the energy intelligent distribution methods for the optical storage charging station in different scenarios disclosed in the embodiments of the present application.
[0099] The embodiments of the present application disclose a computer-readable storage medium that stores a computer program. When the computer program is executed by a processor, the processor is enabled to implement any one of the energy intelligent distribution methods for the optical storage charging station in different scenarios disclosed in the embodiments of the present application.
[0100] The embodiments of the present application disclose a computer program product, including a computer program, and when the computer program is executable by a processor, it implements the methods described in the above embodiments.
[0101] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures, or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, the appearances of "in one embodiment" or "in an embodiment" throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to the present application.
[0102] In various embodiments of the present application, it should be understood that the magnitudes of the serial numbers of the above processes do not necessarily mean the order of execution is necessarily sequential. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
[0103] The units described as separate components above may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0104] In addition, in each embodiment of the present application, the functional units can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.
[0105] When the above 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-accessible memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several requests to enable a computer device (which can be a personal computer, a server, or a network device, etc., specifically, the processor in the computer device) to execute some or all of the steps of the above methods in various embodiments of this application.
[0106] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. This program can be stored in a computer-readable storage medium. The storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electrically-erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disc memories, magnetic disk memories, tape memories, or any other computer-readable medium that can be used to carry or store data.
[0107] The above has introduced in detail an intelligent energy distribution method and system for a photovoltaic and energy storage charging station in different scenarios disclosed in the embodiments of this application. Specific examples are used in this article to elaborate on the principle and implementation manner of this application. The description of the above embodiments is only used to help understand the method and its core idea of this application. At the same time, for those of ordinary skill in the art, according to the idea of this application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to this application.
Claims
1. A method for intelligent energy distribution of photovoltaic charging stations in different scenarios, characterized in that: include: Obtaining power usage condition information corresponding to the target user; the power usage condition information includes power supply distance and city power data; Calculate the power supply plan corresponding to the target user according to the power consumption condition information corresponding to the target user through the intelligent allocation model; The power supply scheme includes a target power supply site, power supply power and power supply mode; receiving a power supply task corresponding to the target user, and providing power to the target user according to the power supply plan corresponding to the target user and the power supply task; The power supply task includes the total power supply amount.
2. According to the method of intelligent energy distribution of photovoltaic charging stations in different scenarios in claim 1, it is characterized in that: The calculating the power supply scheme corresponding to the target user according to the power usage condition information corresponding to the target user by using the intelligent allocation model includes: Determining whether the power supply distance corresponding to the target user is less than a preset distance threshold by the intelligent allocation model; If it is determined that the power supply distance corresponding to the target user is less than a preset distance threshold, it is determined that the power supply scheme corresponding to the target user is DC remote power supply.
3. According to the method of intelligent energy distribution of photovoltaic charging stations in different scenarios in claim 1, it is characterized in that: The power usage condition information also includes an importance coefficient; the importance coefficient is used to indicate the importance of power supply; The calculating the power supply scheme corresponding to the target user according to the power usage condition information corresponding to the target user by using the intelligent allocation model includes: Extracting features of the mains power data in the power usage condition information by using the intelligent allocation model to obtain mains power data features; According to the mains power data characteristics and the important coefficients, a power supply scheme corresponding to the target user is selected.
4. According to the method of intelligent energy distribution of photovoltaic charging stations in different scenarios in claim 3, it is characterized in that: The selecting a power supply scheme corresponding to the target user according to the mains data characteristics and the important coefficients includes: If the mains power data feature is within the first data range, selecting the nearest power supply as the power supply solution corresponding to the target user; If the mains power data feature is within the second data range, one of direct current boost remote supply and alternating current inverter remote supply is selected according to the important coefficient as the power supply solution corresponding to the target user.
5. According to the method of intelligent energy distribution of photovoltaic charging stations in different scenarios according to claim 4, it is characterized in that: The step of selecting, according to the important coefficient, one of a DC boost remote supply or an AC inverter remote supply as a power supply scheme corresponding to the target user includes: If the importance coefficient is greater than a preset importance threshold, selecting DC boost remote supply as the power supply solution corresponding to the target user; If the importance coefficient is less than or equal to a preset importance threshold, the AC inverter remote power supply is selected as the power supply solution corresponding to the target user.
6. According to the method of intelligent energy distribution of photovoltaic charging stations in different scenarios in claim 1, it is characterized in that: The providing power to the target user according to the power supply scheme corresponding to the target user and the power supply task includes: Determine whether the total power supply in the power supply task is greater than the current power storage capacity of the target power supply site; If it is determined that the total power supply is greater than or equal to the current power storage capacity of the target power supply site, power is directly supplied to the target user according to the target power supply site; If it is determined that the total power supply is less than the current power storage capacity of the target power supply site, stop accessing other power supply tasks, and generate a power support plan based on the current power storage capacity and power transmission rate of other power supply sites within the area of the target power supply site; According to the power support plan, power support is provided to the target power supply site.
7. According to the method of intelligent energy distribution of photovoltaic charging stations in different scenarios in claim 6, it is characterized in that: The generating of a power support plan according to the current power storage capacity and power transmission rate of other power supply sites within the area of the target power supply site includes: Selecting other power supply sites with the highest power transmission rate within the area as supporting sites, and calculating the product of the power transmission rate and the power storage capacity of the supporting sites; Calculate the difference between the current power storage capacity of the target power supply site and the total power supply in the power supply task; If the product is greater than or equal to the difference, generating a power support plan for supporting the target power supply site with the support site; If the product is less than the difference, then new other power supply sites are reselected as support sites based on the power transmission rates of the other power supply sites, and the steps of calculating the product of the power transmission rate and the power storage capacity of the support site are re-executed until a power support plan is generated.
8. An intelligent energy distribution system for photovoltaic charging stations in different scenarios, characterized in that: include: An acquisition module is used to obtain the electricity usage condition information corresponding to the target user; The power usage condition information includes power supply distance and city power data; A calculation module, used to calculate a power supply plan corresponding to the target user according to the power usage condition information corresponding to the target user through an intelligent allocation model; The power supply scheme includes a target power supply site, power supply power and power supply mode; A power supply module, used for receiving a power supply task corresponding to the target user, and providing power to the target user according to a power supply scheme corresponding to the target user and the power supply task; The power supply task includes the total power supply amount.
9. An electronic device, characterized in that: It includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor implements a method for intelligent energy distribution of a photovoltaic charging station in different scenarios as described in any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a method for intelligent energy distribution of a photovoltaic charging station in different scenarios as described in any one of claims 1 to 7 is implemented.