A park light storage integrated charging station charging control method and system

Abstract

The application discloses a park light storage integrated charging station charging control method and system, and belongs to the field of park light storage integrated charging stations. The park light storage integrated charging station charging control method comprises the following steps: obtaining and configuring the multi-input fixed energy structure parameters and historical environment parameters of the light storage integrated charging station to complete the initialization configuration of the charging scheme package; collecting the real-time environment parameters of the light storage integrated charging station in real time to complete the loading of the real-time running state and boundary conditions to realize the initial condition import; and performing vehicle type identification, charging scheme package guidance and charging operation based on the initialization configuration and the initial condition import. The technical effect of the application is that the application is convenient for adaptive matching and intelligent guidance of multiple charging scheme packages.

Description

Technical Field

[0001] This invention relates to an integrated photovoltaic and energy storage charging station in a park, and more particularly to a charging control method and system for such a station. Background Technology

[0002] An integrated photovoltaic and energy storage charging station in an industrial park refers to a comprehensive energy station that combines photovoltaic facilities, energy storage facilities, and vehicle charging facilities into a microgrid system to provide green electricity for vehicles.

[0003] Chinese invention patent, publication number CN118449172A, publication date 2024-08-06, discloses a method for optimizing the configuration and scheduling of shared energy storage capacity in a photovoltaic-storage-charging park under the influence of flat-section electricity price fluctuations, including the following steps: (1) Obtain the photovoltaic power generation data curve P of a photovoltaic-storage-charging park for 24 hours on a certain day through a survey method. PV,t Electric power consumption data curve P of electric vehicle charging pile load EV,t 1. Grid-connected photovoltaic electricity price PV-G,t 24-hour China Power Grid electricity sales price data λ G,t (2) Establish the objective function of minimizing the 24-hour operating cost of the photovoltaic-storage-charging park and establish the constraints on the configuration of shared energy storage capacity in the photovoltaic-storage-charging park; (3) Establish a flat-section electricity price fluctuation curve model, iteratively optimize the shared energy storage capacity, and obtain the configuration of shared energy storage capacity and energy storage scheduling strategy of the photovoltaic-storage-charging park under the influence of flat-section electricity price fluctuation; This invention realizes the coordinated and integrated operation of photovoltaic, energy storage and charging in the park, improves the park's operating efficiency, can avoid the impact of fluctuations in the purchase price of electricity by industrial and commercial agents, and promotes the efficient utilization of the shared energy storage configuration capacity.

[0004] The shortcoming of this invention is that it is difficult to adaptively match and intelligently guide multiple charging solution packages, which can easily lead to a poor user experience and problems such as mismatch of charging resources, low turnover efficiency, and uneven energy utilization in the park. Summary of the Invention

[0005] Purpose of the invention: The purpose of this invention is to provide a charging control method for an integrated photovoltaic and energy storage charging station in a park, which facilitates adaptive matching and intelligent guidance of multiple charging scheme packages; another purpose of this invention is to provide a charging control system for an integrated photovoltaic and energy storage charging station in a park.

[0006] Technical solution:

[0007] A charging control method for an integrated photovoltaic and energy storage charging station in a park includes:

[0008] Acquire and configure the multi-input fixed energy structure parameters and historical environmental parameters of the photovoltaic-storage integrated charging station to complete the initial configuration of the charging scheme package;

[0009] Real-time environmental parameters of the photovoltaic-storage integrated charging station are collected in real time to load the real-time operating status and boundary conditions, so as to realize the initial condition import.

[0010] Based on the initial configuration and the initial conditions, vehicle type identification, charging solution package guidance, and charging operation are performed.

[0011] Specifically, the present invention provides a charging control method for an integrated photovoltaic and energy storage charging station in a park. Through a three-stage control framework of "initial configuration + initial condition import + dynamic execution after vehicle access", the integrated photovoltaic and energy storage charging station can adaptively match and intelligently guide multiple charging scheme packages based on the park's fixed energy structure and real-time operating status. This not only ensures the convenience and freedom of choice for users, thereby increasing the user experience, but also helps prevent problems such as charging resource mismatch, low turnover efficiency, and uneven energy utilization in the park.

[0012] Optionally, performing the vehicle type identification includes:

[0013] Identify whether the accessed vehicle is a Type 1 vehicle or a Type 2 vehicle;

[0014] Dedicated charging spaces are provided for the first type of vehicles, and adaptive charging is carried out according to the real-time environmental parameters of the park to maintain a stable load in the park.

[0015] Different types of vehicles adopt independent charging strategies to ensure that the charging processes are isolated and do not interfere with each other.

[0016] Optionally, it also includes: determining the parameters of the charging solution package based on the multi-input fixed energy structure parameters, so as to achieve the adaptation of the charging solution package to the fixed energy structure of the park.

[0017] Optionally, it also includes: based on the historical environmental parameters, pre-generating a recommended benchmark model for the charging scheme package for each time period type, each photovoltaic power output coefficient range, and each charging pile utilization rate range, for rapid decision-making after vehicle access.

[0018] Optionally, it also includes: based on the real-time environmental parameters, performing real-time correction on the recommended benchmark model of the charging solution package to obtain a set of charging solution packages available for the current time period.

[0019] Optionally, the execution of the charging scheme package guidance includes:

[0020] When the real-time utilization rate of charging piles is lower than the preset low utilization rate threshold, the recommendation weight of the long-term low-power charging solution package is increased to guide users to select the long-term low-power charging solution package and improve the utilization time of the charging pile group and the energy consumption during low-load periods.

[0021] When the real-time utilization rate of charging piles is higher than the preset high utilization rate threshold, the recommended weight of the short-time high-power charging solution package is increased to guide users to select the short-time high-power charging solution package, speed up the turnover of charging piles and alleviate load congestion.

[0022] Optionally, the execution of the charging scheme package guidance includes:

[0023] When the real-time photovoltaic output coefficient is higher than the preset high photovoltaic output threshold, the recommended weight of the long-term low-power charging solution package is increased to improve the local consumption ratio of clean energy.

[0024] When the real-time photovoltaic output coefficient is lower than the preset low photovoltaic output threshold, the recommended weight of the short-time high-power charging solution package is increased to ensure stable charging power and balance of power consumption in the park.

[0025] Optionally, the execution of the charging scheme package guidance includes:

[0026] The real-time charging pile utilization rate and the real-time photovoltaic power output coefficient are nonlinearly coupled to obtain a comprehensive decision value;

[0027] A high threshold and a low threshold are preset, and the high threshold is greater than the low threshold;

[0028] When the comprehensive decision value is greater than or equal to the high threshold, the recommended weight of the short-time high-power charging solution package is increased to accelerate the turnover of charging piles and alleviate load congestion.

[0029] When the comprehensive decision value is less than or equal to the low threshold, the recommended weight of the long-term low-power charging solution package is increased to improve the proportion of clean energy consumption and the utilization time of the charging pile group.

[0030] When the comprehensive decision value is between the low threshold and the high threshold, the recommended weight of the off-peak reservation charging scheme package is increased to maintain stable park load.

[0031] Optionally, the operation of guiding the charging scheme package adopts a hierarchical guidance mechanism. The hierarchical guidance mechanism is configured with an overall optimization target to constrain the guidance intensity and direction, so as to avoid excessive guidance leading to load oscillation or insufficient guidance leading to control failure.

[0032] A charging control system for an integrated photovoltaic and energy storage charging station in a park includes:

[0033] The main control unit is used to issue control commands and execute a charging control method for an integrated photovoltaic and energy storage charging station in the park.

[0034] The power unit includes a power module and a power switch. The power module is used to connect to the mains power and output DC power. The power switch is connected in series in the output circuit of the power module. The power switch is electrically connected to the main control unit. The power unit is used to receive control commands and execute corresponding charging actions.

[0035] The detection and protection unit includes a metering chip, a current sensor, a voltage sensor, and a temperature sensor, all of which are electrically connected to the main control unit.

[0036] The connection and interaction unit includes a charging gun, a human-machine interface, and a communication module, all of which are electrically connected to the main control unit. The charging gun and the power switch are electrically connected. The connection and interaction unit is used to upload signals to the main control unit according to the user's selection.

[0037] An electronic device, comprising:

[0038] Memory, used to store programs;

[0039] A processor is used to run the program stored in the memory to execute the charging control method for an integrated photovoltaic and energy storage charging station in a park.

[0040] A computer-readable storage medium storing computer program instructions thereon, which, when executed by a processor, implement the aforementioned charging control method for an integrated photovoltaic and energy storage charging station in a park.

[0041] Beneficial effects: The charging control method for an integrated photovoltaic and energy storage charging station in a park, as proposed in this invention, adopts a three-stage control framework of "initial configuration + initial condition import + dynamic execution after vehicle access". This framework enables the integrated photovoltaic and energy storage charging station to adaptively match and intelligently guide multiple charging solution packages based on the park's fixed energy structure and real-time operating status. This not only ensures the convenience and freedom of choice for users, thereby increasing their user experience, but also helps prevent problems such as charging resource mismatch, low turnover efficiency, and uneven energy utilization in the park. Attached Figure Description

[0042] Figure 1 This is one of the flowcharts of a charging control method for an integrated photovoltaic and energy storage charging station in a park according to the present invention;

[0043] Figure 2 This is the second flowchart of a charging control method for an integrated photovoltaic and energy storage charging station in a park according to the present invention.

[0044] Figure 3 This is the third flowchart of a charging control method for an integrated photovoltaic and energy storage charging station in a park according to the present invention;

[0045] Figure 4This is one of the simulation diagrams of the hierarchical guidance mechanism of the present invention;

[0046] Figure 5 This is the second simulation diagram of the hierarchical guidance mechanism of the present invention;

[0047] Figure 6 This is the third simulation diagram of the hierarchical guidance mechanism of the present invention;

[0048] Figure 7 This is the fourth simulation diagram of the hierarchical guidance mechanism of the present invention;

[0049] Figure 8 This is one of the human-computer interaction interface diagrams of a charging control system for an integrated photovoltaic and energy storage charging station in a park, according to the present invention.

[0050] Figure 9 This is the second human-computer interaction interface diagram of the charging control system for an integrated photovoltaic and energy storage charging station in a park according to the present invention;

[0051] Figure 10 This is a three-dimensional surface diagram of the nonlinear coupled decision model of the present invention;

[0052] Figure 11 This is an external structural diagram of a charging control system for an integrated photovoltaic and energy storage charging station in a park, according to the present invention.

[0053] Figure 12 This is an internal structural diagram of a charging control system for an integrated photovoltaic and energy storage charging station in a park, according to the present invention.

[0054] In the diagram, 1 is the main control unit; 2 is the power unit; 3 is the detection and protection unit; 4 is the connection and interaction unit; 41 is the charging gun; and 42 is the human-machine interface. Detailed Implementation

[0055] To make the technical solution of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0056] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. The terms "first," "second," etc., used in this invention are for the convenience of describing the technical solutions of the invention and have no specific limiting effect; they are all general terms and do not constitute a limitation on the technical solutions of the invention. It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of this application can be combined with each other. In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, not to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. In addition, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. Multiple technical solutions in the same embodiment, as well as multiple technical solutions in different embodiments, can be arranged and combined to form new technical solutions that do not contradict or conflict, all of which are within the scope of protection claimed by this invention.

[0057] Example 1

[0058] like Figure 1 This embodiment provides a charging control method for an integrated photovoltaic and energy storage charging station in a park, including:

[0059] Step S1: Obtain and configure the multi-input fixed energy structure parameters and historical environmental parameters of the photovoltaic-storage integrated charging station to complete the initial configuration of the charging solution package.

[0060] Specifically, the multi-input fixed energy structure parameters refer to the hardware parameters of the integrated photovoltaic-energy storage charging station within the park that are determined after construction and will not be arbitrarily changed. These mainly include the rated capacity of the photovoltaic facilities, the capacity and power of the energy storage facilities, the grid connection capacity and voltage level, and the rated power of the charging piles. The charging control method for an integrated photovoltaic-energy storage charging station in this invention corresponds to a charging control system that reads, confirms, and writes the multi-input fixed energy structure parameters into a configuration file during the initialization phase, serving as the basic boundary conditions for subsequent charging control.

[0061] Historical environmental parameters refer to the operational data accumulated by the integrated photovoltaic and energy storage charging station over a period of time, including historical time periods, historical photovoltaic output coefficients, historical charging pile utilization rates, and historical park load conditions. The charging control system for the integrated photovoltaic and energy storage charging station in this invention, through the statistical analysis and organization of historical environmental parameters, forms operational patterns applicable to the specific park, providing an initial basis for recommending charging solution packages.

[0062] After acquiring the aforementioned multi-input fixed energy structure parameters and historical environmental parameters, the charging control system for an integrated photovoltaic-storage charging station in a park, as described in this invention, initializes and configures the charging scheme packages. This involves determining basic information such as the power range, allowable charging duration, base price, applicable time period, and applicable utilization rate range for each charging scheme package. This ensures that the charging scheme packages match the actual energy structure and historical operating status of the park, guaranteeing a stable, reasonable, and reliable subsequent charging control process. Specifically, the charging scheme packages may include short-duration high-power charging scheme packages, long-duration low-power charging scheme packages, off-peak reservation charging scheme packages, photovoltaic priority consumption charging scheme packages, energy storage priority guarantee charging scheme packages, dedicated charging scheme packages for vehicles parked in the park, and dedicated charging scheme packages for vehicles rented monthly.

[0063] Step S2: Real-time environmental parameters of the photovoltaic-storage integrated charging station are collected to load the real-time operating status and boundary conditions, so as to import the initial conditions.

[0064] Specifically, real-time environmental parameters include real-time photovoltaic power output coefficient, real-time charging pile utilization rate, real-time park power grid load, real-time energy storage status of charge, real-time time period, and real-time electricity price signal.

[0065] After validating and synchronizing the above real-time environmental parameters, they are loaded into the real-time operating status area of ​​the charging control system of the integrated photovoltaic and energy storage charging station in the park according to the present invention. This completes the loading of the real-time operating status and boundary conditions at the current moment, thereby realizing the import of initial conditions and providing real-time data support for charging control after the vehicle is connected.

[0066] Step S3: Based on the initial configuration in step S1 and the initial conditions imported in step S2, perform vehicle type identification, charging solution package guidance, and charging operation.

[0067] Specifically, during execution, the charging control system of the integrated photovoltaic and energy storage charging station of the present invention analyzes in real time the multi-input fixed energy structure parameters, historical environmental parameters, and real-time environmental parameters of the integrated photovoltaic and energy storage charging station in the current park. According to the preset guidance strategy, it recommends charging package packages and guides users to the currently accessing vehicles. At the same time, it identifies the types of vehicles in the park, monthly rental vehicles, and external social vehicles by binding information through vehicle identification module, RFID module, or charging gun 41. After completing vehicle type identification and charging package confirmation, it executes power output, time period control, pricing settlement, and energy routing operations according to the matching charging package parameters to complete the entire charging process.

[0068] In summary, the charging control method for an integrated photovoltaic and energy storage charging station in a park, as proposed in this invention, employs a three-stage control framework of "initial configuration + initial condition import + dynamic execution after vehicle access." This framework enables the integrated photovoltaic and energy storage charging station to adaptively match and intelligently guide multiple charging solution packages based on the park's fixed energy structure and real-time operating status. This not only ensures user convenience and freedom of choice, thereby enhancing the user experience, but also helps prevent problems such as charging resource mismatch, low turnover efficiency, and uneven energy utilization in the park.

[0069] Example 2

[0070] like Figure 1 A charging control method for an integrated photovoltaic and energy storage charging station in a park, based on Example 1, includes the following steps for vehicle type identification:

[0071] Identify whether the accessed vehicle is a Type 1 vehicle or a Type 2 vehicle;

[0072] Dedicated charging spaces are provided for the first type of vehicles, and adaptive charging is carried out according to the real-time environmental parameters of the park to maintain a stable load in the park.

[0073] Different types of vehicles adopt independent charging strategies to ensure that the charging processes are isolated and do not interfere with each other.

[0074] Specifically, the vehicle type identification process includes: firstly, identifying the type of vehicle currently connected to the charging pile, classifying the vehicles into a first type (indoor vehicles, monthly rental vehicles) and a second type (external vehicles). Dedicated charging spaces are allocated to indoor vehicles and monthly rental vehicles respectively. When an indoor vehicle enters its dedicated charging space, or a monthly rental vehicle enters its dedicated charging space, the vehicle and charging gun 41 complete electrical connection and enter a charging standby state. This invention provides a park-based integrated photovoltaic and energy storage charging station charging control system that uses an adaptive charging method for indoor vehicles and monthly rental vehicles based on real-time environmental parameters of the park. That is, while meeting the basic charging needs of the vehicles, it does not continuously charge at full power, but instead starts and stops charging in stages and at different power levels according to real-time photovoltaic output coefficients, real-time charging pile utilization rates, and real-time park grid load, thereby smoothing the overall charging load of the park and ensuring stable power supply.

[0075] Independent charging strategies are adopted for different vehicle types: charging is only available to vehicles parked in the parking lot, and a dedicated charging solution package for these vehicles is recommended; charging is only available to vehicles on monthly rental basis, and a dedicated charging solution package for these vehicles is recommended; for vehicles from outside the parking lot, short-term high-power charging solution packages, long-term low-power charging solution packages, off-peak reservation charging solution packages, solar power priority charging solution packages, and energy storage priority charging solution packages are available. Through these methods, the power allocation, time-of-use scheduling, and start-stop control of different vehicle types are isolated from each other, ensuring that the charging processes do not interfere with each other and achieving orderly charging control by zone and category.

[0076] Example 3

[0077] like Figure 2 A charging control method for an integrated photovoltaic and energy storage charging station in a park, based on embodiment 1, includes step S1: step S11, determining the parameters of the charging scheme package based on multiple input fixed energy structure parameters, so as to achieve the adaptation of the charging scheme package to the fixed energy structure of the park.

[0078] Specifically, the charging control system for an integrated photovoltaic and energy storage charging station in a park, as described in this invention, reads multiple input fixed energy structure parameters during the initialization phase. Based on the rated capacity of the photovoltaic facilities, it determines the maximum photovoltaic output coefficient that can be called upon for each charging scheme package. Based on the capacity and power of the energy storage facilities, it determines the upper limit of the priority charging power and duration of each charging scheme package. Based on the grid connection capacity and voltage level, it determines the upper limit of the total output power, current limit, and safety margin of each charging scheme package. Furthermore, based on the above constraints, it configures the allowable charging duration range, basic electricity price coefficient, power adjustment step size, and protection threshold for each charging scheme package. This ensures that the core parameters of the charging scheme package, such as power, duration, electricity price, and energy call priority, fully match the existing energy supply capacity of the park, avoiding problems such as over-power operation, waste of photovoltaic resources, overcharging and over-discharging of energy storage, and grid load exceeding limits. This achieves deep adaptation between the charging scheme package and the park's fixed energy structure in terms of physical constraints, operating boundaries, and scheduling logic.

[0079] Example 4

[0080] like Figure 2 A charging control method for an integrated photovoltaic and energy storage charging station in a park, based on embodiment 1, further includes step S12: based on historical environmental parameters, pre-generating a recommended benchmark model for charging scheme packages of various time periods, photovoltaic output coefficient ranges, and charging pile utilization rate ranges, for rapid decision-making after vehicle access.

[0081] Specifically, during the initialization phase, the charging control system for an integrated photovoltaic and energy storage charging station in a park, according to the present invention, first reads and stores the historical environmental parameters of the integrated photovoltaic and energy storage charging station in the park. The charging control system then performs three-dimensional tagging and clustering processing on these historical environmental parameters according to time period type, photovoltaic output coefficient range, and charging pile utilization rate range.

[0082] Among them, the time period type is at least divided into: peak electricity consumption period, off-peak electricity consumption period, low-peak electricity consumption period, and nighttime valley period; the photovoltaic output coefficient range is divided into: high output range, medium output range, low output range, and no-sunlight output range after normalization based on the historical maximum value; the charging pile utilization rate range is divided into: high utilization rate range, medium utilization rate range, low utilization rate range, and idle range based on the historical operation range.

[0083] The present invention discloses a charging control system for an integrated photovoltaic and energy storage charging station in a park. Based on the above-mentioned three-dimensional label classification results, the system uses machine learning or threshold statistics methods to pre-generate a recommended benchmark model for each charging scheme package that corresponds one-to-one with each combination of labels. The recommended benchmark model is for each combination of "time period type + photovoltaic output coefficient range + charging pile utilization rate range". The system pre-determines core parameters such as the optimal charging scheme package type, basic electricity price, recommendation priority, allowed charging time, power limit, and energy storage call strategy.

[0084] When a vehicle is actually connected to a charging pile, the integrated photovoltaic and energy storage charging station control system of the present invention does not need to perform full and complex calculations in real time. It only needs to match the current real-time status with the tag combination corresponding to the pre-generated recommended benchmark model, and can retrieve the preset decision results in milliseconds and quickly output the current optimal charging scheme package. This achieves rapid response and stable decision-making after the vehicle is connected, effectively reduces the real-time computing pressure, and improves the overall operating efficiency and reliability of the integrated photovoltaic and energy storage charging station control system of the present invention.

[0085] Example 5

[0086] like Figure 3 A charging control method for an integrated photovoltaic and energy storage charging station in a park, based on embodiment 1, includes step S2 as follows: Step S21, based on real-time environmental parameters, the recommended benchmark model of the charging scheme package is corrected in real time to obtain a set of charging scheme packages available in the current time period.

[0087] Specifically, based on real-time environmental parameters such as real-time photovoltaic output coefficient, real-time charging pile utilization rate, real-time park power grid load, real-time energy storage charge status, real-time time period, and real-time electricity price signal, the charging control system of the integrated photovoltaic and energy storage charging station in the park according to the present invention uses the above-mentioned real-time environmental parameters as real-time correction factors.

[0088] The charging control system for an integrated photovoltaic and energy storage charging station in a park, as described in this invention, compares and calculates the differences between the aforementioned real-time environmental parameters and the corresponding historical environmental parameters in the recommended benchmark model. Based on the magnitude of the difference, it adjusts the recommended weights, price coefficients, power limits, duration intervals, photovoltaic consumption priorities, and energy storage call priorities in the recommended benchmark model item by item.

[0089] When the real-time photovoltaic power output factor is higher than the historical average for the same period, the recommended weight of the photovoltaic priority consumption charging scheme package is increased, and the photovoltaic power utilization ratio of the photovoltaic priority consumption charging scheme package is increased.

[0090] When the real-time utilization rate of charging piles is higher than the historical average for the same period, the upper limit of the allowable dwell time for each charging package is shortened, and the recommendation level of the short-time high-power charging package is increased.

[0091] When the real-time load of the park's power grid exceeds the limit, the maximum power limit of each charging scheme package is reduced, and current limiting correction is initiated to prevent the charging load from exacerbating the pressure on the power grid.

[0092] When the real-time state of charge of the energy storage exceeds a preset threshold, the availability level of the energy storage priority charging solution package is increased, and its price coefficient is reduced to enhance its attractiveness.

[0093] After completing the above-mentioned item-by-item corrections, the charging control system of the integrated photovoltaic and energy storage charging station of the present invention removes the charging scheme packages that are unavailable in the current time period due to power, duration, energy balance, and safety constraints, and filters to form a set of charging scheme packages available in the current time period. This set of charging scheme packages provides a unique and available scheme basis for the execution of charging scheme package guidance and charging operation in step S3, ensuring that the recommended results are highly matched with the real-time operating status and improving the accuracy and stability of charging scheduling.

[0094] Example 6

[0095] like Figure 1 A charging control method for an integrated photovoltaic and energy storage charging station in a park, based on Example 1, includes the following steps for guiding the execution of a charging scheme package:

[0096] When the real-time utilization rate of charging piles is lower than the preset low utilization rate threshold, the recommended weight of long-term low-power charging solution packages is increased and their comprehensive unit price is reduced, so as to guide users to choose long-term low-power charging solution packages and increase the utilization time of the charging pile group and the energy consumption during low-load periods.

[0097] When the real-time utilization rate of charging piles is higher than the preset high utilization rate threshold, the recommended weight of short-time high-power charging solution packages is increased and their comprehensive unit price is reduced, so as to guide users to choose short-time high-power charging solution packages, speed up the turnover of charging piles and alleviate load congestion.

[0098] Specifically, the preset low utilization threshold is preferably between 21% and 48%. If it is below 21%, the charging control system of the integrated photovoltaic and energy storage charging station of the present invention is too sluggish, and only starts to guide when the real-time charging pile utilization is extremely low, resulting in insufficient energy consumption during low load periods, too many idle charging piles, and waste of energy storage and photovoltaic power. If it is above 48%, the charging control system of the integrated photovoltaic and energy storage charging station of the present invention will judge the low utilization too early and guide the long-term low-power charging scheme package when the load is not low, which can easily lead to slow charging pile turnover, increased queuing, and early increase of park load, and cannot effectively relieve peak pressure.

[0099] The preferred range for the preset high utilization threshold is 62%-87%. If it is below 62%, the charging control system of the integrated photovoltaic and energy storage charging station in the park is too sensitive. It forcibly guides a short-term high-power charging package as soon as the utilization rate reaches a medium level, resulting in compressed user charging time, frequent vehicle switching at the charging station, large fluctuations in system operation, and decreased energy utilization efficiency. If it is above 87%, the charging control system of the integrated photovoltaic and energy storage charging station in the park determines the high load too late and guides a short-term high-power charging package only after congestion has already formed, resulting in serious queuing, poor user experience, and increased risk of the park's power grid overload.

[0100] Example 7

[0101] like Figure 1 A charging control method for an integrated photovoltaic and energy storage charging station in a park, based on Example 1, includes the following steps for guiding the execution of a charging scheme package:

[0102] When the real-time photovoltaic output coefficient is higher than the preset high photovoltaic output threshold, the recommended weight of the long-term low-power charging solution package is increased and its comprehensive unit price is reduced, so as to increase the proportion of clean energy consumption on-site.

[0103] When the real-time photovoltaic output coefficient is lower than the preset low photovoltaic output threshold, the recommended weight of the short-time high-power charging solution package is increased and its comprehensive unit price is reduced to ensure stable charging power and balance of power consumption in the park.

[0104] Specifically, the preset high photovoltaic output threshold is preferably in the range of 0.63-0.87. If it is lower than 0.63, it is easy for the photovoltaic system to switch to the long-term low-power charging solution package before it has generated a large amount of electricity, resulting in low charging efficiency. If it is higher than 0.87, it is easy for the photovoltaic system to fail to trigger the long-term low-power charging solution package in time when it generates a large amount of electricity, resulting in a large amount of clean electricity not being consumed locally, leading to a significant increase in the curtailment rate.

[0105] The preset low photovoltaic output threshold is preferably in the range of 0.13-0.33. If it is lower than 0.13, it is easy to cause the short-time high-power charging scheme package to not be activated when the photovoltaic output is already seriously insufficient, resulting in insufficient charging power and slow charging. If it is higher than 0.33, it is easy to cause the short-time high-power charging scheme package to be frequently triggered before the photovoltaic output is obviously insufficient, resulting in insufficient green electricity consumption.

[0106] Example 8

[0107] like Figure 1 A charging control method for an integrated photovoltaic and energy storage charging station in a park, based on Embodiment 1, wherein the execution of the charging scheme package guidance includes:

[0108] The real-time charging pile utilization rate and the real-time photovoltaic power output coefficient are nonlinearly coupled to obtain a comprehensive decision value;

[0109] Preset a high threshold and a low threshold, and the high threshold is greater than the low threshold;

[0110] When the comprehensive decision value is greater than or equal to the high threshold, increase the recommended weight of the short-term high-power charging plan package to accelerate the turnover of the pile body and relieve load congestion;

[0111] When the comprehensive decision value is less than or equal to the low threshold, increase the recommended weight of the long-term low-power charging plan package to increase the proportion of clean energy consumption and the utilization duration of the pile group;

[0112] When the comprehensive decision value is between the low threshold and the high threshold, increase the recommended weight of the peak-shift reservation charging plan package to maintain a stable load in the park.

[0113] Specifically, in this embodiment, to achieve the coordinated guidance of the real-time charging pile utilization rate and the real-time PV output coefficient, a non-linear coupling decision model is constructed, and the real-time operation parameters are mapped to the comprehensive decision value S, as follows:

[0114] Normalize the real-time charging pile utilization rate and the real-time PV output coefficient to the interval [0, 1], and substitute them into the non-linear formula:

[0115] ,

[0116] In the formula, U is the normalized real-time charging pile utilization rate; Kpv is the normalized real-time PV output coefficient; U 3 reflects the non-linear amplification effect of the real-time charging pile utilization rate on the comprehensive decision value; (1 - Kpv) 3 reflects the non-linear suppression effect of the real-time PV output coefficient on the comprehensive decision value;

[0117] Preset a high threshold S_H and a low threshold S_L, and S_H > S_L;

[0118] Perform hierarchical guidance according to the interval where the comprehensive decision value S is located: [[ID=३४]]

[0119] When S ≥ S_H: High utilization rate and low PV output correspond to guiding short-term high power, accelerating turnover and relieving congestion;

[0120] When S ≤ S_L: Low utilization rate and high PV output correspond to guiding long-term low power, consuming green electricity and increasing utilization rate; [[ID=३९]]

[0121] When S_L < S < S_H: Intermediate transition conditions (including low utilization rate + low PV output, high utilization rate + high PV output) correspond to guiding peak-shift reservation to avoid load fluctuations and achieve stable operation of the park's energy;

[0122] Among them, the high threshold S_H is preferably 0.68, and the low threshold S_L is preferably 0.3.

[0123] After simulation, as Figure 10 , a three-dimensional surface graph of the non-linear coupling decision model is constructed based on the comprehensive decision value S calculation formula. Among them, the horizontal axis is the normalized real-time charging pile utilization rate U ∈ [0, 1], the vertical axis is the normalized real-time photovoltaic output coefficient Kpv ∈ [0, 1], and the vertical axis is the comprehensive decision value S. The surface clearly reflects the non-linear variation law of S with U and Kpv: (1) When the real-time charging pile utilization rate U increases, the cubic term of U 3 has a non-linear amplification effect on S, causing S to rise rapidly; (2) When the photovoltaic output coefficient Kpv increases, the cubic term of (1 - Kpv) 3 has a non-linear inhibitory effect on S, causing S to drop rapidly; (3) The overall surface shows the characteristics of "high S when the utilization rate is high and the photovoltaic output is low, and low S when the utilization rate is low and the photovoltaic output is high", which is completely consistent with the charging scheme guiding logic.

[0124] At the same time, the following four working conditions are exemplified. Working condition 1: high utilization rate and low photovoltaic output, U = 0.9, Kpv = 0.1, and it is calculated that S = 1.312 > S_H, corresponding to guiding short-term high power; Working condition 2: low utilization rate and high photovoltaic output, U = 0.1, Kpv = 0.9, and it is calculated that S = 0.002 < S_L, corresponding to guiding long-term low power; Working condition 3: low utilization rate and low photovoltaic output, U = 0.2, Kpv = 0.2, and it is calculated that S = 0.468. At this time, S_L < S < S_H, corresponding to guiding peak-shift reservation; Working condition 4: high utilization rate and high photovoltaic output, U = 0.9, Kpv = 0.9, and it is calculated that S = 0.657. At this time, S_L < S < S_H, corresponding to guiding peak-shift reservation.

[0125] Embodiment 9

[0126] As Figure 1 , a charging control method for a park integrated photovoltaic and energy storage charging station. On the basis of Embodiment 1, the operation of executing the charging scheme package guidance adopts a hierarchical guidance mechanism, and the hierarchical guidance mechanism includes:

[0127] The price guidance of the first layer forms a price difference by adjusting the comprehensive unit price of the charging scheme package;

[0128] The information guidance of the second layer preferentially displays the target charging scheme package on the human-computer interaction interface 42 and marks the advantage description;

[0129] The rights and interests guidance of the third layer confers additional rights and interests to the users who select the target charging scheme package.

[0130] Specifically, when performing the user guidance operation of the charging scheme package in the actual operation scenario, the charging control system of the park integrated photovoltaic and energy storage charging station of the present invention adopts a hierarchical and multi-dimensional collaborative hierarchical guidance mechanism.

[0131] The first layer is price guidance. The charging control system of the integrated photovoltaic and energy storage charging station in the park according to the park operation plan, power grid load status and dispatching objectives dynamically and differentially adjusts the overall settlement unit price of various charging solution packages, so as to form a reasonable price range difference between different charging solution packages, and influence the user's choice decision by means of price fluctuation differences.

[0132] The second layer is information guidance. When laying out content on the human-computer interaction interfaces 42, such as charging piles and mobile mini-programs, the target charging solution package for scheduling is displayed at the top with priority. This is accompanied by visual text and graphics annotations, detailing the outstanding advantages of the target charging solution package in terms of charging speed, cost-effectiveness, and time-of-day adaptability, clearly and intuitively showcasing the core competitiveness of the target charging solution package to the user. For example... Figure 8 The diagram shows a simplified representation of the human-machine interface 42 for selecting an inner-field vehicle, such as... Figure 9 The diagram shows a simplified human-computer interaction interface 42 for selecting external vehicles.

[0133] The third layer is rights and benefits guidance. For users who finally select the target charging solution package, the charging control system of the integrated photovoltaic and energy storage charging station of the present invention automatically completes identity verification and rights and benefits binding, and issues additional benefits such as points deduction, charging discount, priority queuing and other additional benefits to users, so as to enhance users' enthusiasm for selecting the target solution package through value-added service incentives.

[0134] Example 10

[0135] like Figure 1 A charging control method for an integrated photovoltaic and energy storage charging station in a park, based on Example 9, configures an overall optimization target through a hierarchical guidance mechanism to constrain the guidance intensity and direction, so as to avoid excessive guidance leading to load oscillation or insufficient guidance leading to control failure.

[0136] Specifically, the tiered guidance mechanism employs a targeted overall optimization objective function, implementing precise constraint control from two core dimensions: guidance intensity and guidance direction. Setting upper and lower limit constraints on guidance intensity effectively avoids problems such as frequent system load fluctuations, operational oscillations, and decreased stability caused by excessively large guidance parameter amplitudes and output increments. Setting deviation correction constraints on guidance direction corrects guidance offsets in real time, preventing deviations from the control target or weak guidance intensity that could lead to delayed system control response, intervention failures, and substandard control accuracy. Through these dual-dimensional overall optimization objective constraints, the tiered guidance mechanism achieves adaptive dynamic matching, maximizing the guiding role of tiered control while ensuring stable system load operation, thus balancing control stability and effectiveness.

[0137] The formula for the overall optimization objective function is as follows:

[0138] ,

[0139] The constraint boundaries are:

[0140] ,

[0141] In the formula, J is the overall optimization objective; λ1 is the weight coefficient of the guiding intensity; λ2 is the weight coefficient of the guiding direction; A is the guiding intensity; θ is the guiding direction; A0 is the rated guiding intensity; θ0 is the baseline guiding direction; and the upper and lower limit thresholds are used to limit the adjustment range and prevent the parameters from going out of bounds.

[0142] Furthermore, simulation models were built, and four sets of comparative simulations were conducted:

[0143] like Figure 4 The first group, unconstrained operating conditions: guiding parameters to change freely, observing large load fluctuations and control failures; such as... Figure 5 The second group only constrains the guiding strength condition; the oscillation decreases, but the direction shifts; such as Figure 6 The third group only constrains the guiding direction; the direction is correct, but fluctuations still exist; such as... Figure 7 The fourth group, overall optimization constraint condition: parameters converge smoothly, load operation curve is smooth, control commands are executed precisely, and the verification mechanism can effectively avoid oscillation and failure problems.

[0144] Example 11

[0145] like Figure 11 and Figure 12 This embodiment provides a charging control system for an integrated photovoltaic and energy storage charging station in a park, including:

[0146] Main control unit 1;

[0147] Power unit 2 includes a power module and a power switch. The power module is used to connect to the mains power and output DC power. The power switch is connected in series in the output circuit of the power module. The power switch is electrically connected to the main control unit 1.

[0148] The detection and protection unit 3 includes a metering chip, a current sensor, a voltage sensor, and a temperature sensor, all of which are electrically connected to the main control unit 1.

[0149] The connection and interaction unit 4 includes a charging gun 41, a human-machine interface 42, and a communication module, all of which are electrically connected to the main control unit 1. The charging gun 41 is electrically connected to the power switch.

[0150] Example 12

[0151] This embodiment provides an electronic device, including:

[0152] Memory, used to store programs;

[0153] A processor is used to run a program stored in a memory to execute a charging control method for an integrated photovoltaic and energy storage charging station in a park, according to any one of the embodiments 1-9.

[0154] Example 13

[0155] This embodiment provides a computer-readable storage medium storing computer program instructions, which, when executed by a processor, implement a charging control method for an integrated photovoltaic and energy storage charging station in a park according to any one of embodiments 1-9.

[0156] The above embodiments merely illustrate several implementation methods of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this patent should be determined by the appended claims.

Claims

1. A charging control method for an integrated photovoltaic and energy storage charging station in a park, characterized in that, include: Acquire and configure the multi-input fixed energy structure parameters and historical environmental parameters of the photovoltaic-storage integrated charging station to complete the initial configuration of the charging scheme package; Real-time environmental parameters of the photovoltaic-storage integrated charging station are collected in real time to load the real-time operating status and boundary conditions, so as to realize the initial condition import. Based on the initial configuration and the initial conditions, vehicle type identification, charging solution package guidance, and charging operation are performed.

2. The charging control method for an integrated photovoltaic and energy storage charging station in a park according to claim 1, characterized in that, Performing the vehicle type identification includes: Identify whether the accessed vehicle is a Type 1 vehicle or a Type 2 vehicle; Dedicated charging spaces are provided for the first type of vehicles, and adaptive charging is carried out according to the real-time environmental parameters of the park to maintain a stable load in the park. Different types of vehicles adopt independent charging strategies to ensure that the charging processes are isolated and do not interfere with each other.

3. The charging control method for an integrated photovoltaic and energy storage charging station in a park according to claim 1, characterized in that, Also includes: Based on the multi-input fixed energy structure parameters, the parameters of the charging solution package are determined to adapt the charging solution package to the fixed energy structure of the park.

4. The charging control method for an integrated photovoltaic and energy storage charging station in a park according to claim 3, characterized in that, Also includes: Based on the historical environmental parameters, a recommended benchmark model for the charging scheme package is pre-generated for each time period type, each photovoltaic power output coefficient range, and each charging pile utilization rate range, for rapid decision-making after vehicle access.

5. The charging control method for an integrated photovoltaic and energy storage charging station in a park according to claim 4, characterized in that, Also includes: Based on the real-time environmental parameters, the recommended baseline model of the charging solution package is corrected in real time to obtain the set of charging solution packages available in the current time period.

6. The charging control method for an integrated photovoltaic and energy storage charging station in a park according to claim 1, characterized in that, The execution of the charging scheme package includes: When the real-time utilization rate of charging piles is lower than the preset low utilization rate threshold, the recommendation weight of the long-term low-power charging solution package is increased to guide users to select the long-term low-power charging solution package and increase the utilization time of the charging pile group and the energy consumption during low-load periods. When the real-time utilization rate of charging piles is higher than the preset high utilization rate threshold, the recommendation weight of the short-time high-power charging solution package is increased to guide users to select the short-time high-power charging solution package, speed up the turnover of charging piles and alleviate load congestion.

7. The charging control method for an integrated photovoltaic and energy storage charging station in a park according to claim 1, characterized in that, The execution of the charging scheme package includes: When the real-time photovoltaic output coefficient is higher than the preset high photovoltaic output threshold, the recommended weight of the long-term low-power charging solution package is increased to improve the local consumption ratio of clean energy. When the real-time photovoltaic output coefficient is lower than the preset low photovoltaic output threshold, the recommended weight of the short-time high-power charging solution package is increased to ensure stable charging power and balance of power consumption in the park.

8. The charging control method for an integrated photovoltaic and energy storage charging station in a park according to claim 1, characterized in that, The execution of the charging scheme package includes: The real-time charging pile utilization rate and the real-time photovoltaic power output coefficient are nonlinearly coupled to obtain a comprehensive decision value; A high threshold and a low threshold are preset, and the high threshold is greater than the low threshold; When the comprehensive decision value is greater than or equal to the high threshold, the recommended weight of the short-time high-power charging solution package is increased to accelerate the turnover of charging piles and alleviate load congestion. When the comprehensive decision value is less than or equal to the low threshold, the recommended weight of the long-term low-power charging solution package is increased to improve the proportion of clean energy consumption and the utilization time of the charging pile group. When the comprehensive decision value is between the low threshold and the high threshold, the recommended weight of the off-peak reservation charging scheme package is increased to maintain stable park load.

9. The charging control method for an integrated photovoltaic and energy storage charging station in a park according to claim 1, characterized in that, The operation of executing the charging scheme package adopts a hierarchical guidance mechanism, which is configured with an overall optimization target to constrain the guidance intensity and guidance direction.

10. A charging control system for an integrated photovoltaic and energy storage charging station in a park, characterized in that, include: The main control unit is used to issue control commands and execute the charging control method for an integrated photovoltaic and energy storage charging station in a park as described in claim 1. The power unit includes a power module and a power switch. The power module is used to connect to the mains power and output DC power. The power switch is connected in series in the output circuit of the power module. The power switch is electrically connected to the main control unit. The power unit is used to receive control commands and execute corresponding charging actions. The detection and protection unit includes a metering chip, a current sensor, a voltage sensor, and a temperature sensor, all of which are electrically connected to the main control unit. The connection and interaction unit includes a charging gun, a human-machine interface, and a communication module, all of which are electrically connected to the main control unit. The charging gun and the power switch are electrically connected. The connection and interaction unit is used to upload signals to the main control unit according to the user's selection.

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