Charging pile power adjustment method and system based on transformer area load rate

Abstract

The application relates to the technical field of power dispatch, and discloses a charging pile power regulation method and system based on a transformer area load rate. The method comprises the following steps: collecting total transformer area load power, rated capacity, and charging power and state identification of each charging pile, and generating transformer area load state data. Then, the power reduction amount of the charging pile and the upper limit of the power increase amount are calculated, and a charging pile adjustable power range database is constructed. By comparing the current load rate with a preset threshold, an optimization control model is established, and a constraint condition that the load rate does not exceed the threshold is set. The charging power of each charging pile is adjusted by using a proportional power distribution algorithm, and the control parameters are dynamically optimized. The application solves the problems of inaccurate charging pile state identification and insufficient control accuracy caused by the simplification of the power distribution strategy in the prior art. The application improves the accuracy of the transformer area load rate control and the balance of the charging demand satisfaction.

Description

Technical Field

[0001] This application relates to the field of power dispatching technology, and in particular to a method and system for adjusting the power of charging piles based on the load rate of the distribution area. Background Technology

[0002] With the rapid popularization of electric vehicles and the large-scale construction of charging infrastructure, the proportion of charging pile load in residential and transportation electricity consumption has been increasing year by year. In existing technologies, charging pile power regulation methods mainly adopt time-sharing charging strategies based on time periods and economic dispatch methods based on electricity prices. These methods alleviate grid load pressure by setting charging power limits for different time periods or adjusting charging time according to electricity price fluctuations. Some advanced systems also introduce load forecasting algorithms, using historical data analysis to predict future load demand and formulate charging plans in advance.

[0003] Existing charging pile power regulation methods have significant shortcomings. Traditional methods lack accurate identification of the actual status of charging piles, often sending invalid control commands to charging piles that are not charging or have been disconnected, leading to decreased system control accuracy and wasted resources. Secondly, power allocation strategies are overly simplistic, typically employing average allocation or priority ranking, failing to fully consider the differences in the actual adjustability of each charging pile. This results in some charging piles not fully utilizing their adjustment potential while others exceed their adjustment range. Furthermore, existing methods have a singular focus on setting objectives, primarily concerned with avoiding grid overload, lacking comprehensive optimization considerations for meeting charging demand.

[0004] When a power distribution area faces a complex scenario with multiple charging piles connected simultaneously and dynamically changing loads, the limitations of traditional methods in terms of control precision and simplistic allocation strategies become even more pronounced. Due to the lack of real-time and accurate identification of charging pile status, the system cannot effectively distinguish between adjustable and non-adjustable charging piles, leading to inaccurate basic data for the power allocation algorithm. Simultaneously, the simplified power allocation strategy cannot adapt to the differentiated adjustment needs of each charging pile at different charging stages, making it difficult to maximize charging demand while ensuring load control of the distribution area. Therefore, there is an urgent need for a power adjustment method for power distribution areas that can accurately identify charging pile status, achieve differentiated proportional allocation, and comprehensively optimize load control and demand fulfillment. Summary of the Invention

[0005] This application provides a method and system for adjusting the power of charging piles based on the load rate of the charging area, which solves the problems of inaccurate charging pile status identification and insufficient control accuracy caused by the simplification of power allocation strategies in the prior art. This application improves the accuracy of the load rate control of the charging area and the balance of meeting charging demand.

[0006] Firstly, this application provides a method for adjusting the power of a charging pile based on the load rate of a transformer substation, the method comprising:

[0007] Collect the current total load power and rated capacity of the transformer area, calculate the current load rate of the transformer area, and at the same time obtain the current charging power, rated power and charging status identifier of each charging pile to generate transformer area load status data.

[0008] Based on the charging status identifier and the current charging power, calculate the upper limit of power reduction and the upper limit of power increase for each charging pile, and construct a database of adjustable power range for charging piles based on the load status data of the distribution area.

[0009] Based on the comparison between the current load rate of the transformer area and the preset control threshold, and combined with the adjustable power range database of the charging pile, an optimized control model is established with the goal of maximizing the satisfaction of charging demand, and the constraint condition that the load rate of the transformer area does not exceed the threshold is set.

[0010] The optimized control model is solved by a proportional power allocation algorithm. The power is allocated proportionally according to the current adjustable power of each charging pile to obtain the reduction and increase of charging power for each charging pile.

[0011] Power control commands are generated based on the decrease and increase in charging power. The adjustment effect is evaluated by monitoring the deviation between the actual load rate of the adjustment background area and the preset control threshold, and the control parameters of the proportional power allocation algorithm are dynamically optimized.

[0012] Secondly, this application provides a charging pile power adjustment system based on the load rate of the transformer substation, the charging pile power adjustment system based on the load rate of the transformer substation includes:

[0013] The data acquisition module is used to collect the current total load power and rated capacity of the transformer area, calculate the current load rate of the transformer area, and obtain the current charging power, rated power and charging status identifier of each charging pile to generate transformer area load status data.

[0014] The power calculation module is used to calculate the upper limit of power reduction and the upper limit of power increase for each charging pile based on the charging status identifier and the current charging power, and to construct a database of adjustable power range for charging piles based on the load status data of the distribution area.

[0015] The model building module is used to build an optimized control model based on the comparison between the current load rate of the transformer area and the preset control threshold, combined with the adjustable power range database of the charging pile, with the goal of maximizing the satisfaction of charging demand, and to set the constraint condition that the load rate of the transformer area does not exceed the threshold.

[0016] The power allocation module is used to solve the optimization control model through a proportional power allocation algorithm, and to allocate power proportionally according to the current adjustable power of each charging pile, so as to obtain the reduction and increase of charging power for each charging pile.

[0017] The effect evaluation module is used to generate power control commands based on the reduction and increase of charging power, evaluate the adjustment effect by monitoring the deviation between the actual load rate of the adjustment background area and the preset control threshold, and dynamically optimize the control parameters of the proportional power allocation algorithm.

[0018] Thirdly, a charging pile power adjustment device based on substation load rate is provided, comprising: a memory and at least one processor, wherein the memory stores instructions; the at least one processor calls the instructions in the memory to cause the charging pile power adjustment device based on substation load rate to execute the above-described charging pile power adjustment method based on substation load rate.

[0019] Fourthly, a computer-readable storage medium is provided, wherein instructions are stored therein, which, when executed on a computer, cause the computer to perform the above-described charging pile power adjustment method based on the substation load rate.

[0020] The technical solution provided in this application establishes a precise mapping relationship between charging pile status and adjustment capability by generating distribution area load status data and constructing a database of adjustable power ranges for charging piles, thus avoiding the problem of ineffective adjustment of charging piles in non-charging states in existing technologies. By binary encoding the charging status identifier and combining it with the current charging power and rated power, the system can accurately identify the actual adjustable range of each charging pile, providing a reliable data foundation for subsequent power allocation. The establishment of the optimized control model achieves a dual-objective balance between distribution area load rate control and maximizing charging demand. By setting a constraint that the distribution area load rate does not exceed a threshold, the safe operation of the power distribution facilities is ensured. At the same time, by minimizing the objective function of the sum of the differences between the power reduction and power increase of each charging pile, the charging demand is maximized under the premise of meeting safety constraints. The application of the proportional power allocation algorithm performs differentiated allocation based on the current adjustable power of each charging pile, avoiding the problem of uneven adjustment caused by average allocation in existing technologies. By multiplying the power reduction ratio coefficient by the current charging power of each charging pile and the power increase ratio coefficient by the power margin of each charging pile, a precise match between the adjustment amount and the adjustment capability is achieved.

[0021] In the specific application field of distribution substation load rate regulation, the proportional power allocation algorithm of this application fully considers the physical constraints of the power system and the operating characteristics of charging pile equipment. The algorithm ensures the optimality and feasibility of the allocation result through linear programming solution and iterative optimization. The generation of power control commands and the dynamic evaluation of the regulation effect form a closed-loop control system. By monitoring the deviation between the actual load rate of the regulation backend area and the preset control threshold, the system can automatically identify the control accuracy and dynamically optimize the control parameters of the proportional power allocation algorithm, avoiding the problem of poor adaptability of static control strategies in the prior art. This adaptive optimization mechanism is particularly suitable for application scenarios with large fluctuations and strong randomness in electric vehicle charging load. It can continuously improve the control strategy according to the actual operating effect, ensuring the stability and effectiveness of long-term operation. Through the organic combination of technical features, the overall solution significantly improves the utilization efficiency of charging resources and user charging experience satisfaction while ensuring the safe operation of the distribution substation. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of an embodiment of the charging pile power adjustment method based on the load rate of the transformer area in this application.

[0024] Figure 2 This is a diagram illustrating the power management analysis of charging piles in the suburbs area, as shown in this application.

[0025] Figure 3 This is a schematic diagram of the Simulink simulation results of the charging pile area in the embodiments of this application;

[0026] Figure 4 This is a flowchart illustrating the adaptive power adjustment process of charging piles under load constraints in the embodiments of this application.

[0027] Figure 5 This is a schematic diagram of an embodiment of the charging pile power adjustment system based on the load rate of the distribution area in this application.

[0028] Figure 6 This is a schematic block diagram of the charging pile power adjustment device based on the load rate of the transformer area in an embodiment of the present invention. Detailed Implementation

[0029] This application provides a method and system for adjusting the power of charging piles based on the load rate of a transformer substation. The terms "first," "second," "third," "fourth," etc. (if present)," in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" or "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0030] For ease of understanding, the specific process of the embodiments of this application is described below. Please refer to [link / reference]. Figure 1 One embodiment of the charging pile power adjustment method based on the load rate of the transformer substation in this application includes:

[0031] Step S1: Collect the current total load power and rated capacity of the substation area, calculate the current load rate of the substation area, and at the same time obtain the current charging power, rated power and charging status identifier of each charging pile to generate substation load status data.

[0032] Specifically, the system collects the current total load power and rated capacity of the distribution area, and uses these two data points to calculate the current load rate of the area. It also acquires the current charging power, rated power, and charging status indicator of each charging pile, combining this information to generate load status data for the distribution area. By obtaining the total load power and rated capacity, the system can monitor the load status of the distribution area in real time and determine if there is an overload risk. The charging power and rated power data for each charging pile provide operational status information, while the charging status indicator accurately determines whether each charging pile is in a charging-ready state. Through data collection and analysis, the system can track the load of the distribution area in real time and provide data support for power regulation and optimized control. The generated load status data will provide a basis for the power regulation strategy and optimized control model of the distribution area, thereby avoiding risks caused by overload, ensuring the stable operation of the power system, and maximizing the satisfaction of charging demand.

[0033] Step S2: Based on the charging status indicator and the current charging power, calculate the upper limit of power reduction and the upper limit of power increase for each charging pile, and construct a database of adjustable power range for charging piles based on the load status data of the substation area.

[0034] Specifically, the charging status of each charging pile is determined based on its charging status indicator. The maximum power reduction and maximum power increase for each charging pile are calculated based on the difference between the current charging power and the rated power. If a charging pile is in a charging state and its current charging power is less than its rated power, its maximum power increase is the difference between the current charging power and the rated power; if the current charging power has reached the rated power, its maximum power increase is 0. Conversely, if the current charging power is higher than 0, its maximum power reduction is the current charging power value; if the current charging power is 0, its maximum power reduction is 0. Based on the load status data of the distribution area, the maximum power reduction and maximum power increase for each charging pile are integrated to construct a database of adjustable power ranges for each charging pile. This database records the adjustable power range of each charging pile under different charging states, providing a basis for subsequent power adjustment and optimization control, thereby ensuring that the load of the distribution area can be adjusted within a reasonable range and avoiding overload or overcharging.

[0035] Step S3: Based on the comparison between the current load rate of the transformer area and the preset control threshold, and combined with the adjustable power range database of the charging pile, establish an optimized control model with the goal of maximizing the satisfaction of charging demand, and set the constraint condition that the load rate of the transformer area does not exceed the threshold.

[0036] Specifically, the current load rate of the charging station area is compared with a preset control threshold. If the current load rate exceeds the preset threshold, the power of the charging piles needs to be adjusted to alleviate the load pressure; conversely, if the load rate is below the preset threshold, the power of the charging piles can be increased to meet the charging demand. An optimization control model is established by combining the upper limits of power increase and decrease for each charging pile recorded in the adjustable power range database. The goal of this model is to maximize the satisfaction of charging demand and ensure that the load rate of the charging station area does not exceed the preset threshold. This optimization model automatically adjusts the power distribution of the charging piles based on the difference between the load rate and the threshold, making the load of the charging station area as close as possible to the upper limit of the threshold, but not exceeding it, thereby ensuring that the load of the charging station area will not cause overload or other safety hazards. The model also sets a constraint that the load rate of the charging station area does not exceed the threshold, ensuring that even when the charging demand increases, the charging station area can always remain within a safe load range. Through this optimization control model, the power of the charging piles can be dynamically and intelligently adjusted to meet the charging demand and effectively avoid the risk of overload.

[0037] Step S4: Solve the optimized control model using the proportional power allocation algorithm, and allocate power proportionally according to the current adjustable power of each charging pile to obtain the reduction and increase of charging power for each charging pile.

[0038] Specifically, when solving the optimization control model using the proportional power allocation algorithm, the power is allocated proportionally based on the current adjustable power of each charging pile. The adjustable power of a charging pile is determined by the difference between its current charging power and its rated power. If the load in the distribution area needs to reduce power, the reduction in charging power is allocated proportionally; if power needs to be increased, the increase in charging power is allocated proportionally. The specific proportional allocation method is calculated based on the current adjustable power range of each charging pile, that is, according to the ratio of the upper limit of power reduction to the upper limit of power increase for each charging pile, the corresponding reduction or increase in charging power is allocated to each charging pile. The power adjustment of the charging piles ensures that the load rate does not exceed the set threshold while maximizing the satisfaction of charging demand. During the allocation process, it is ensured that the adjustable power of each charging pile does not exceed its maximum adjustment range, and the power change of each charging pile is dynamically adjusted according to the changes in the load in the distribution area, thereby achieving a balanced distribution of charging power. Through this proportional power allocation algorithm, the charging power changes of each charging pile can be reasonably allocated, ensuring that the objectives of the optimization control model are achieved.

[0039] Step S5: Generate power control commands based on the amount of reduction in charging power and the amount of increase in charging power. Evaluate the adjustment effect by monitoring the deviation between the actual load rate of the adjustment background area and the preset control threshold, and dynamically optimize the control parameters of the proportional power allocation algorithm.

[0040] Specifically, based on the calculated reduction and increase in charging power, corresponding power control commands are generated and sent to each charging station to adjust the power. The adjustment effect can be evaluated by monitoring the deviation between the actual load rate of the charging station area and the preset control threshold in real time. If the actual load rate is close to the preset threshold and within the set range, the adjustment effect is good; if the deviation is large, the adjustment effect is not as expected. In this case, the system will dynamically optimize the control parameters of the proportional power allocation algorithm according to the magnitude of the deviation, such as adjusting the power allocation ratio coefficient or reallocating power according to the load of the charging station. The purpose of dynamically optimizing the control parameters is to make the allocation of charging power more accurate in each adjustment, ensuring that the load of the charging station area is always within a safe range, while maximizing the satisfaction of charging demand. Through continuous monitoring and optimization, efficient and accurate adjustment of charging station power can be achieved, improving the overall load management efficiency and safety of the charging system.

[0041] It is understood that the executing entity of this application can be a charging pile power adjustment system based on the load rate of the transformer substation, or it can be a terminal or a server; the specific implementation is not limited here. This application's embodiment uses a server as an example for illustration.

[0042] In one specific embodiment, the process of performing step S1 may specifically include the following steps:

[0043] (1) Collect the current total load power of the distribution transformer in the distribution area through the smart meter, and at the same time obtain the preset rated capacity value of the distribution area. Calculate the ratio between the current total load power of the distribution area and the rated capacity value of the distribution area to obtain the current load rate of the distribution area.

[0044] (2) Collect real-time operation data of each charging pile based on the charging pile communication interface, perform data parsing processing on the real-time operation data, and obtain the current charging power, rated power and charging status identifier of each charging pile.

[0045] (3) The charging status identifier is processed by binary encoding. When the charging pile is connected to the charging gun and is in a charging state, it is encoded as 1, and when the charging pile is in a non-charging state, it is encoded as 0, so as to obtain standardized charging status data.

[0046] (4) Integrate the current load rate of the transformer area, the current charging power, rated power and standardized charging status data of each charging pile, and establish a data structure containing timestamps and charging pile identifiers to obtain the transformer area load status data.

[0047] Specifically, the total load power of the distribution transformer in the area is collected in real time by the smart meters, and the preset rated capacity value of the area is also obtained. The ratio of these two values ​​is calculated to obtain the current load rate of the area. Real-time operating data of each charging pile is collected through the charging pile communication interface, and this data is parsed and processed to obtain the current charging power, rated power, and charging status identifier of each charging pile. To standardize the processing of charging status data, the charging status identifier of the charging pile is binary encoded. When the charging pile is connected to the charging gun and is in a charging state, its code is 1; if the charging pile is in a non-charging state, its code is 0. The current load rate of the area, the current charging power and rated power of each charging pile, and the standardized charging status data are integrated and processed to form a data structure containing a timestamp and a charging pile identifier. The resulting area load status data serves as the basic data support for subsequent power regulation and optimization control.

[0048] For example, the smart meters on the distribution transformer in the transformer substation collect real-time data showing that the total load power of the substation is 850kW, and the rated capacity of the substation is 1000kW. By calculating the ratio of these two values, the current load rate is found to be 0.85 (i.e., 850kW / 1000kW). Based on the charging pile communication interface, the specific data for the seven charging piles are obtained by acquiring the real-time operating data of each charging pile. Charging pile 1 has a current charging power of 6kW and a rated power of 7kW, and is in a rechargeable state; charging pile 2 has a current charging power of 5kW and a rated power of 7kW, and is in a rechargeable state; charging pile 3 has a current charging power of 30kW and a rated power of 30kW, and is in a rechargeable state; charging pile 4 has a current charging power of 60kW and a rated power of 60kW, and is not rechargeable; charging pile 5 has a current charging power of 100kW and a rated power of 150kW, and is in a rechargeable state; charging pile 6 has a current charging power of 150kW and a rated power of 150kW, and is in a rechargeable state; charging pile 7 has a current charging power of 200kW and a rated power of 200kW, and is not rechargeable. Based on the charging status identifier of each charging pile, it is encoded in binary. Charging piles 1, 2, 3, 5, and 6 are encoded as 1 (indicating a rechargeable state), and charging piles 4 and 7 are encoded as 0 (indicating a non-rechargeable state). The standardized charging status data is obtained as: [1, 1,1, 0, 1, 1, 0]. Combining the area load rate of 0.85, the current charging power and rated power of each charging pile, and the standardized charging status data, these data are integrated into a data structure that includes a timestamp and a charging pile identifier.

[0049] In one specific embodiment, the process of performing step S2 may specifically include the following steps:

[0050] (1) Extract the standardized charging status data and current charging power of each charging pile from the load status data of the transformer area, and multiply the standardized charging status data and the current charging power to obtain the effective charging power of each charging pile.

[0051] (2) Based on the effective charging power, calculate the upper limit of power reduction. When the standardized charging status data of the charging pile is 1 and the current charging power is greater than 0, the current charging power is used as the upper limit of power reduction. When the standardized charging status data of the charging pile is 0 or the current charging power is 0, the upper limit of power reduction is set to 0, so as to obtain the upper limit of power reduction of each charging pile.

[0052] (3) Extract the rated power of each charging pile from the load status data of the transformer area, calculate the difference between the rated power and the current charging power, and then multiply it with the standardized charging status data to obtain the upper limit of the power increase of each charging pile.

[0053] (4) Associate the upper limit of power reduction and the upper limit of power increase according to the charging pile identifier, establish a data table structure containing the charging pile number, the upper limit of power reduction and the upper limit of power increase, and obtain the database of adjustable power range of charging pile.

[0054] Specifically, standardized charging status data and current charging power for each charging pile are extracted from the load status data of the charging area. The effective charging power of each charging pile is obtained by multiplying the standardized charging status data with the current charging power. For example, when the charging status of a charging pile is 1 and the current charging power is 8kW, the effective charging power of the charging pile is 8kW; while when the charging status of a charging pile is 0, the product result is 0 regardless of the current charging power.

[0055] The upper limit for power reduction is calculated based on the effective charging power. For each charging station, when the standardized charging status data is 1 and the current charging power is greater than 0, the current charging power is used as the upper limit for power reduction; if the charging status of the charging station is 0, or the current charging power is 0, the upper limit for power reduction is set to 0. In this way, we ensure that power reduction is only allowed when the charging station is available and has actual charging power.

[0056] The rated power of each charging pile is extracted from the load status data of the distribution area, and the difference between the rated power and the current charging power is calculated. This difference is then multiplied by the standardized charging status data to obtain the upper limit of the charging pile's power increase. If the charging pile's charging status is 1 and the current charging power is less than the rated power, then this difference is the upper limit of the charging pile's power increase; if the charging pile's charging status is 0, or the current charging power is already equal to the rated power, then the upper limit of the power increase is 0.

[0057] The upper limits for power reduction and power increase for each charging station are associated with the charging station's identifier, and a data table structure is established, containing the charging station number, the upper limit for power reduction, and the upper limit for power increase. This data ultimately constitutes a database of the adjustable power range of the charging stations, providing data support for subsequent power adjustment and optimization control.

[0058] In one specific embodiment, the process of performing step S3 may specifically include the following steps:

[0059] (1) Compare the current load rate of the transformer area with the preset control threshold. When the current load rate of the transformer area exceeds the preset control threshold, it is determined to be an overloaded state of the transformer area. When the current load rate of the transformer area is lower than the preset control threshold, it is determined to be a sufficient load state of the transformer area. The result of the transformer area load status determination is obtained.

[0060] (2) Based on the load status determination results of the transformer area and the database of adjustable power range of charging piles, the objective function is constructed and processed. The objective function is set to minimize the sum of the difference between the power reduction and the power increase of each charging pile, and a dual-objective optimization control model is obtained.

[0061] (3) Based on the results of the load status determination of the transformer area, the dual-objective optimization control model is subjected to constraint setting. When the transformer area is determined to be overloaded, the constraint condition is set that the power increase of each charging pile is 0 and the sum of the power decrease of each charging pile is greater than or equal to the power difference of the transformer area overload. When the transformer area is determined to be in a state of sufficient load, the constraint condition is set that the power decrease of each charging pile is 0 and the sum of the power increase of each charging pile is less than or equal to the power margin that can be increased in the transformer area, so as to obtain the optimization control model.

[0062] Specifically, the overload status of a charging station is determined by comparing its current load rate with a preset control threshold. If the current load rate exceeds the preset threshold, it is considered overloaded; otherwise, it is considered adequately loaded. Based on this load status determination, an optimization objective function is set. The objective function aims to minimize the sum of the differences between the power reduction and power increase of each charging station. The objective function can be expressed as:

[0063]

[0064] in, This refers to the number of charging stations in the area. and Charging piles The amount of decrease in charging power and the amount of increase in charging power.

[0065] To ensure the rationality of power adjustment, the following constraints are set: The reduction and increase in charging power of the charging station cannot occur simultaneously, that is:

[0066]

[0067] To prevent overload of the charging station area, the power adjustment range of the charging pile is limited based on the current load status. If the load of the charging station area exceeds the control threshold (i.e., If the signal indicates overload, then the increase in charging power of the charging station is limited to 0. The constraint at this point is:

[0068]

[0069] in, This represents the current total load power of the transformer area. The load rate of the transformer area under the preset control threshold. The rated capacity of the transformer area.

[0070] If the load is below the control threshold (i.e.) If the load is sufficient, then the reduction in charging power of the charging pile is limited to 0, and the constraint condition is:

[0071]

[0072] Considering the impact of charging station status on power adjustment, only charging stations in a chargeable state can adjust their power. Therefore, the range of charging station power adjustment must meet the following requirements:

[0073]

[0074] If the charging station's status indicator Then the charging station can adjust the power; if If the charging station cannot adjust the power, the adjustment amount will be 0. That is:

[0075]

[0076] Power reduction of charging piles The power is allocated proportionally based on the current charging power and status. An auxiliary variable is set. The proportionality coefficient represents the proportion of the charging pile's power reduction to the current charging power. The calculation formula is:

[0077]

[0078] If the charging station is in an uncharging state or its current charging power is 0, it cannot participate in the power reduction adjustment, therefore, it is set... :

[0079]

[0080] For the increase in power Auxiliary variables are set by allocating power proportionally to the difference between the rated power of the charging pile and the current charging power. The proportionality coefficient represents the proportion of the power increase to the difference between the rated power and the current charging power. The calculation formula is as follows:

[0081]

[0082] If the charging station is in a non-charging state or its current charging power has already reached the rated power, it cannot participate in power increase adjustment. ,

[0083]

[0084] The power adjustment optimization model for charging piles is as follows:

[0085]

[0086] in and To optimize the variables, other parameters are either constants or collected data. If the optimization model has a solution, a power control command is issued to each charging pile. for:

[0087]

[0088] If the optimization model has no solution, it means that even if the charging pile power is reduced to 0, the transformer area still cannot avoid overload. In this case, a charging pile power control command will be issued. .

[0089] The optimization calculation process can be set to be triggered at regular intervals, with the triggering period matching the measurement and acquisition period of the transformer area.

[0090] For example, suppose that in a transformer area, the current total load power ( The rated capacity (Pm) of the transformer substation is 850kW, and the preset load factor threshold (r) is 0.9 (i.e., 90%). Based on these data, the maximum load capacity of the transformer substation is 900kW (1000kW × 0.9). At this time, the total load power of the transformer substation is 850kW, which is lower than 900kW. Therefore, based on the comparison between the load factor and the threshold, the transformer substation is in a state of sufficient load.

[0091] Assume there are 7 charging piles in this area. Charging pile 1 has a current charging power of 6kW, a rated power of 7kW, and is in a charging state (coded as 1); Charging pile 2 has a current charging power of 5kW, a rated power of 7kW, and is in a charging state (coded as 1); Charging pile 3 has a current charging power of 30kW, a rated power of 30kW, and is in a charging state (coded as 1); Charging pile 4 has a current charging power of 60kW, a rated power of 60kW, and is not in a charging state (coded as 0); Charging pile 5 has a current charging power of 100kW, a rated power of 150kW, and is in a charging state (coded as 1); Charging pile 6 has a current charging power of 150kW, a rated power of 150kW, and is in a charging state (coded as 1); Charging pile 7 has a current charging power of 200kW, a rated power of 200kW, and is not in a charging state (coded as 0).

[0092] The effective charging power is obtained by multiplying the charging status indicator of each charging station by its charging power. For charging stations 1, 2, 3, 5, and 6, their charging status indicator is 1, so their effective charging power is their current charging power; while for charging stations 4 and 7, since their charging status is 0, their effective charging power is 0. The power adjustment range for each charging station is calculated. It is assumed that the power of the charging stations needs further adjustment based on the area's load rate and load conditions. Because the area's load is sufficient, the goal is to maximize the satisfaction of charging demand without exceeding the area's preset threshold. The control strategy will adjust the power increase and decrease of each charging station according to its current charging power, rated power, and effective charging power. (Reference) Figure 2 The diagram shows the power management analysis of charging piles in the area. Figure 2 a is a comparison chart of charging station power. Figure 2 b is the charging state distribution diagram. Figure 2 c is the effective charging power distribution diagram. Figure 2 Figure d shows the power adjustment range. After optimizing the control model calculations, the adjustment command for each charging pile is obtained. For example, assume that charging piles 1, 2, 5, and 6 need to increase their power according to demand, while the power of charging piles 3 and 4 remains unchanged. Calculate the adjustment amount for each charging pile and ensure that the total adjusted power meets the load management requirements of the distribution area.

[0093] In one specific embodiment, the process of performing step S4 may specifically include the following steps:

[0094] (1) Input the optimized control model into the proportional power allocation algorithm for solution processing. Based on the upper limit of power reduction and the upper limit of power increase of each charging pile in the adjustable power range database, calculate the power reduction ratio coefficient and the power increase ratio coefficient to obtain the proportional allocation parameters.

[0095] (2) Based on the proportional allocation parameters, the current charging power of each charging pile is proportionally reduced. The current charging power of each charging pile is multiplied by the power reduction ratio coefficient and the standardized charging status data to obtain the charging power reduction of each charging pile.

[0096] (3) Based on the proportional allocation parameters, the power margin of each charging pile is proportionally increased. The difference between the rated power and the current charging power of each charging pile is multiplied by the power increase ratio coefficient and the standardized charging status data to obtain the charging power increase of each charging pile.

[0097] (4) Perform constraint verification on the reduction and increase of charging power to ensure that the reduction and increase of charging power of each charging pile are not both greater than 0 at the same time, and that the total power change after adjustment meets the load rate control requirements of the transformer area, so as to obtain the final allocation result of the charging power adjustment of each charging pile.

[0098] Specifically, based on the upper limits of power reduction and power increase in the adjustable power range database of charging piles, power reduction ratio coefficients and power increase ratio coefficients are calculated to obtain proportional allocation parameters. Based on these parameters, a proportional reduction in the current charging power of each charging pile is calculated. Specifically, the current charging power of each charging pile is multiplied by the power reduction ratio coefficient and standardized charging status data to obtain the charging power reduction. Based on the proportional allocation parameters, a proportional increase in the power margin of each charging pile is calculated. The difference between the rated power and the current charging power of each charging pile is multiplied by the power increase ratio coefficient and standardized charging status data to obtain the charging power increase. On this basis, constraint verification is performed on the charging power reduction and charging power increase to ensure that the charging power reduction and charging power increase of each charging pile cannot be greater than 0 simultaneously, and that the total power change after adjustment meets the load rate control requirements of the distribution area. Through these calculations and verifications, the charging power adjustment allocation results for each charging pile are obtained, ensuring that the adjusted power allocation can meet the requirements of the area load rate control and maximize the charging demand, thereby optimizing the area load management and charging pile power adjustment.

[0099] For example, the effectiveness of the proposed method is verified by building a Simulink simulation model of a power distribution area including charging piles. The simulation model is assumed to contain seven charging piles with rated powers of 7kW, 7kW, 30kW, 60kW, 100kW, 150kW, and 200kW, respectively. A three-phase AC voltage source is used to simulate the power supply of the power distribution area. The initial non-charging load of the area is 300kW, which increases to 700kW at 0.25s and then to 400kW at 0.65s. `modelIO` is an S-function module used for data communication with the charging pile controller. The charging load of the charging piles is the acquired quantity, and the charging status of the charging piles is the control quantity, which are used as the input and output signals of the S-function module, respectively. The rated capacity of the power distribution area is 1000kW, and the controlled load rate is 90%. The proposed charging pile control strategy is configured in the charging pile controller to control the simulation model.

[0100] The simulation results obtained by running the Simulink simulation model and the charging pile controller are as follows: Figure 3As shown, the overload power threshold for the transformer substation is 900kW. It can be seen that, using the proposed charging pile control method, after the substation experiences overload at 0.25s, the power of the charging piles is reduced to lower the substation load rate to 90%. After the non-charging load decreases at 0.65s, causing a further decrease in the substation load rate, the power of the charging piles is increased, thus meeting the charging demand as much as possible without exceeding the load rate limit. During the adjustment process, the control power for the charging piles remains at 0, verifying that the method of this invention does not control charging piles in an uncharging state.

[0101] In one specific embodiment, the process of inputting the optimized control model into the proportional power allocation algorithm for solving may specifically include the following steps:

[0102] (1) Convert the objective function and constraints in the optimization control model into a standard linear programming problem format, set the power reduction and power increase of each charging pile as decision variables, establish a linear programming solution matrix, and obtain a standardized optimization problem expression;

[0103] (2) Iterative solution based on standardized optimization problem expression, step-by-step optimization calculation of decision variables through simplex method, stop iteration when objective function value converges and all constraints are satisfied, and obtain the optimal power reduction ratio coefficient and power increase ratio coefficient;

[0104] (3) Verify the effectiveness of the power reduction ratio coefficient and the upper limit of power reduction of each charging pile in the adjustable power range database of the charging pile, and ensure that the ratio coefficient value is between 0 and 1 and the calculated power adjustment amount does not exceed the actual adjustable range of each charging pile, so as to obtain the verified proportional allocation parameters.

[0105] (4) Perform convergence test on the verified proportional allocation parameters, calculate the difference between the results of two consecutive iterations, confirm the algorithm convergence when the difference is less than the preset convergence threshold, and continue iterative calculation when the difference is greater than the convergence threshold to obtain the proportional allocation parameters.

[0106] Specifically, the objective function and constraints in the optimization control model are converted into a standard linear programming problem. The power reduction and power increase of each charging pile are set as decision variables, and a linear programming solution matrix is ​​established to obtain a standardized optimization problem expression. Based on the standardized optimization problem expression, iterative solutions are performed using the simplex method to progressively optimize the decision variables until the objective function converges and all constraints are satisfied. At this point, the iteration stops, yielding the optimal power reduction and power increase ratios. After obtaining the preliminary solution, the power reduction ratio is further validated against the upper limit of power reduction in the charging pile's adjustable power range database. This ensures that the ratio value is between 0 and 1, and that the calculated power adjustment does not exceed the actual adjustable range of the charging pile, thus obtaining the validated proportional allocation parameters. The convergence of the verified proportional allocation parameters is checked by calculating the difference between two consecutive iterations. When the difference is less than the preset convergence threshold, the algorithm is confirmed to have converged. If the difference is greater than the convergence threshold, the iteration calculation continues to obtain stable and converged proportional allocation parameters, ensuring that the optimization results of the charging pile power adjustment can accurately meet the load control requirements of the transformer area.

[0107] Taking a certain transformer substation as an example, this substation has 6 charging piles with rated powers of 7kW, 7kW, 30kW, 60kW, 100kW, and 150kW respectively. The substation's rated capacity is set at 1000kW, and the load rate threshold is 90%. Initially, the total load power of the substation is 800kW, and the power demand of the charging piles is 250kW. According to the control model, the objective is to maximize charging demand while keeping the load rate below 90%. The objective function and constraints in the optimization control model are converted into a standard linear programming problem. The power reduction and increase of the charging piles are set as decision variables, and a linear programming solution matrix is ​​established. The optimal power reduction and increase ratios are obtained through iterative calculation using the simplex method. The obtained ratios are validated against the power adjustment range of each charging pile to ensure that the ratios are between 0 and 1, and that the calculated power adjustment does not exceed the actual adjustable range of the charging pile. Next, the convergence of the proportional allocation parameters is checked by calculating the difference between two consecutive iterations. If the difference is less than the convergence threshold, the algorithm is confirmed to have converged, and the calculation stops. The proportional allocation parameters that meet the load control requirements of the transformer substation are obtained and applied to the power adjustment of the charging pile to achieve optimized management of the transformer substation load.

[0108] In one specific embodiment, the process of performing step S5 may specifically include the following steps:

[0109] (1) Calculate the difference between the reduction in charging power and the current charging power of each charging pile, and add the increase in charging power to the current charging power of each charging pile to generate the target charging power value after adjustment for each charging pile, and obtain the power control command.

[0110] (2) Based on the power control command, the power adjustment command is sent to each charging pile through the charging pile communication interface. At the same time, the actual total load power of the area after the adjustment is executed is collected. The ratio of the actual total load power of the area to the rated capacity of the area is calculated to obtain the actual load rate of the area after adjustment.

[0111] (3) The actual load rate of the adjustment background area is calculated and processed to compare with the preset control threshold. When the deviation value exceeds the preset deviation threshold, the power reduction ratio coefficient and power increase ratio coefficient of the proportional power allocation algorithm are adaptively adjusted. When the deviation value is within the preset deviation threshold range, the current control parameters remain unchanged, and the optimized control parameters are obtained and fed back to the proportional power allocation algorithm.

[0112] Specifically, the system calculates the difference between the reduced charging power of each charging pile and the current charging power, and adds the increased charging power to the current charging power to obtain the adjusted target charging power value for each charging pile. These target power values ​​are then sent to each charging pile as power control commands. Based on these power control commands, the power adjustment command is transmitted to each charging pile through the charging pile communication interface to ensure that the charging pile adjusts its power as required. The system collects the actual total load power of the substation after the adjustment is executed and calculates the ratio of this power to the substation's rated capacity to obtain the adjusted actual load rate. The deviation between the actual load rate and a preset load control threshold is calculated. If the deviation exceeds the preset deviation threshold, it indicates that the current adjustment effect is not ideal, and the power reduction and power increase ratios of the proportional power allocation algorithm need to be adaptively adjusted. If the deviation is within the preset threshold range, it indicates that the adjustment effect meets expectations, and the control parameters remain unchanged. In this way, the system can dynamically optimize power allocation and adjust control parameters in real time to ensure that the substation load is always maintained within a safe range and to meet charging demand as much as possible. Figure 4 The figure illustrates the adaptive power adjustment process of charging piles under the load constraints of the transformer area.

[0113] For example, in a transformer substation, the current total load power (PT) is 850kW, the substation's rated capacity (Pm) is 1000kW, and the preset load rate threshold (r) is 0.9. The substation's load rate is 850kW / 1000kW = 0.85, which is lower than the load rate threshold, therefore the substation is in a state of sufficient load. There are 7 charging piles in this substation, with rated powers of 7kW, 7kW, 30kW, 60kW, 100kW, 150kW, and 200kW respectively. Assume that the current charging powers of these charging piles are 6kW, 5kW, 30kW, 0kW, 80kW, 120kW, and 0kW respectively, with charging piles 4 and 7 being in a non-charging state. Calculate the target charging power for each charging pile based on the power reduction and power increase. For charging pile 1, the charging power reduction is 6kW and the increase is 1kW, with a target power of 6kW-1kW=5kW; for charging pile 2, the reduction is 5kW and the increase is 2kW, with a target power of 5kW+2kW=7kW, and so on.

[0114] Based on the target power of each charging pile, a power adjustment command is sent to the charging pile via its communication interface. Simultaneously, the total load power of the adjusted substation is collected as 900kW. This value is then compared to the substation's rated capacity, yielding an adjusted load rate of 900kW / 1000kW = 0.9. Since the load rate meets the preset threshold, the system's deviation calculation shows a deviation of 0, indicating an ideal adjustment effect. The current control parameters are kept unchanged, and the optimized parameters are fed back to the proportional power allocation algorithm to complete the entire load adjustment process, ensuring that charging demand is effectively met and the substation load does not exceed the safety threshold.

[0115] The charging pile power adjustment method based on the substation load rate in the embodiments of this application has been described above. The charging pile power adjustment system based on the substation load rate in the embodiments of this application is described below. Please refer to [link / reference]. Figure 5 One embodiment of the charging pile power adjustment system based on the load rate of the distribution area in this application includes:

[0116] The data acquisition module is used to collect the current total load power and rated capacity of the transformer area, calculate the current load rate of the transformer area, and obtain the current charging power, rated power and charging status identifier of each charging pile to generate transformer area load status data.

[0117] The power calculation module is used to calculate the upper limit of power reduction and the upper limit of power increase for each charging pile based on the charging status indicator and the current charging power, and to build a database of adjustable power range for charging piles based on the load status data of the transformer area.

[0118] The model building module is used to build an optimized control model based on the comparison between the current load rate of the transformer area and the preset control threshold, combined with the adjustable power range database of the charging pile, with the goal of maximizing the satisfaction of charging demand, and setting the constraint condition that the load rate of the transformer area does not exceed the threshold.

[0119] The power allocation module is used to solve the optimization control model through a proportional power allocation algorithm, and to allocate power proportionally according to the current adjustable power of each charging pile, so as to obtain the amount of power reduction and power increase of each charging pile.

[0120] The effect evaluation module is used to generate power control commands based on the amount of reduction and increase in charging power. It evaluates the adjustment effect by monitoring the deviation between the actual load rate of the adjustment background area and the preset control threshold, and dynamically optimizes the control parameters of the proportional power allocation algorithm.

[0121] Through the collaborative efforts of the aforementioned components, the system enables intelligent adjustment and optimized management of the substation load. The data acquisition module first acquires the total load power and rated capacity of the substation in real time, calculates the current load rate, and simultaneously collects the current charging power, rated power, and charging status identifier of each charging pile, forming substation load status data. This data provides the foundation for subsequent calculations and optimizations. The power calculation module calculates the upper limit of power reduction and the upper limit of power increase for each charging pile based on the charging status identifier and current charging power, and integrates this data to construct a database of adjustable power ranges for charging piles. The model building module compares the current load rate of the substation with a preset load control threshold and, combined with the power adjustment range of the charging piles, constructs an optimized control model aimed at maximizing charging demand, while setting constraints that prevent the load rate from exceeding the threshold to ensure that the load is not overloaded during charging. The power allocation module solves the optimized control model using a proportional power allocation algorithm, allocates power according to the adjustment capabilities of each charging pile, and calculates the reduction and increase of charging power for each charging pile. The performance evaluation module generates control commands based on the actual decrease and increase in charging power, monitors the deviation between the adjusted load rate and the preset control threshold, and uses dynamic optimization algorithms to control parameters to ensure stable system operation and meet charging demands. Through the coordinated work of these modules, the entire system can adjust the load of distribution transformers in real time and intelligently, ensuring that charging demands are effectively met while avoiding overload, thus improving the safety and efficiency of power grid operation.

[0122] above Figure 5 The charging pile power adjustment system based on the substation load rate in this embodiment of the invention will be described in detail from the perspective of modular functional entities. The charging pile power adjustment device based on the substation load rate in this embodiment of the invention will be described in detail from the perspective of hardware processing.

[0123] Reference Figure 6 This invention also provides a charging pile power adjustment device based on the load rate of a transformer substation. This charging pile power adjustment device can be a server, and its internal structure can be as follows: Figure 6 As shown, the charging pile power adjustment device based on substation load rate includes a processor, memory, display screen, input device, network interface, and database connected via a system bus. The processor, designed as a computer, provides computing and control capabilities. The memory of the charging pile power adjustment device based on substation load rate includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the charging pile power adjustment device based on substation load rate is used to store the data corresponding to this embodiment. The network interface of the charging pile power adjustment device based on substation load rate is used for communication with external terminals via network connection. When the computer program is executed by the processor, it implements the above-described method.

[0124] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the charging pile power adjustment device based on the substation load rate to which the present invention is applied.

[0125] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when the instructions are executed on a computer, cause the computer to perform the steps of the charging pile power adjustment method based on the substation load rate.

[0126] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0127] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a charging pile power adjustment device (which can be a personal computer, server, or network device, etc.) based on the load rate of the charging station area to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0128] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for adjusting the power of a charging pile based on the load rate of a transformer substation, characterized in that, The method includes: Step S1: Collect the current total load power and rated capacity of the transformer area, calculate the current load rate of the transformer area, and at the same time obtain the current charging power, rated power and charging status identifier of each charging pile to generate transformer area load status data. Step S2: Based on the charging status identifier and the current charging power, calculate the upper limit of power reduction and the upper limit of power increase for each charging pile, and construct a database of adjustable power range for charging piles based on the load status data of the distribution area. Step S3: Based on the comparison between the current load rate of the transformer area and the preset control threshold, and combined with the adjustable power range database of the charging pile, establish an optimization control model with the goal of maximizing the satisfaction of charging demand, and set the constraint condition that the load rate of the transformer area does not exceed the threshold. Step S4: Solve the optimized control model using a proportional power allocation algorithm, and allocate power proportionally according to the current adjustable power of each charging pile to obtain the reduction and increase of charging power for each charging pile. Step S5: Generate power control commands based on the decrease in charging power and the increase in charging power. Evaluate the adjustment effect by monitoring the deviation between the actual load rate of the adjustment background area and the preset control threshold, and dynamically optimize the control parameters of the proportional power allocation algorithm.

2. The charging pile power adjustment method based on the load rate of the distribution area according to claim 1, characterized in that, Step S1 includes: The current total load power of the distribution transformer is collected by the smart meter of the distribution transformer, and the preset rated capacity value of the distribution transformer is obtained. The ratio of the current total load power of the distribution transformer to the rated capacity value of the distribution transformer is calculated to obtain the current load rate of the distribution transformer. Real-time operating data of each charging pile is collected based on the charging pile communication interface, and the real-time operating data is parsed and processed to obtain the current charging power, rated power and charging status identifier of each charging pile. The charging status identifier is processed by binary encoding. When the charging pile is connected to the charging gun and is in a charging state, it is encoded as 1, and when the charging pile is in a non-charging state, it is encoded as 0, thus obtaining standardized charging status data. The current load rate of the transformer substation, the current charging power, rated power of each charging pile, and standardized charging status data are integrated and processed to establish a data structure containing timestamps and charging pile identifiers, thereby obtaining the transformer substation load status data.

3. The charging pile power adjustment method based on the load rate of the distribution area according to claim 1, characterized in that, Step S2 includes: The standardized charging status data and current charging power of each charging pile are extracted from the load status data of the transformer area. The standardized charging status data and the current charging power are multiplied to obtain the effective charging power of each charging pile. The power reduction limit is calculated based on the effective charging power. When the standardized charging status data of the charging pile is 1 and the current charging power is greater than 0, the current charging power is used as the power reduction limit. When the standardized charging status data of the charging pile is 0 or the current charging power is 0, the power reduction limit is set to 0, thus obtaining the power reduction limit of each charging pile. The rated power of each charging pile is extracted from the load status data of the transformer area. The difference between the rated power and the current charging power is calculated, and then multiplied with the standardized charging status data to obtain the upper limit of the power increase of each charging pile. The upper limit of power reduction and the upper limit of power increase are associated and mapped according to the charging pile identifier to establish a data table structure containing the charging pile number, the upper limit of power reduction and the upper limit of power increase, thus obtaining a database of the adjustable power range of the charging pile.

4. The charging pile power adjustment method based on the load rate of the distribution area according to claim 1, characterized in that, Step S3 includes: The current load rate of the transformer area is compared with the preset control threshold. When the current load rate of the transformer area exceeds the preset control threshold, it is determined to be an overloaded state. When the current load rate of the transformer area is lower than the preset control threshold, it is determined to be a sufficient load state. The transformer area load status determination result is obtained. Based on the load status determination results of the transformer area and the adjustable power range database of the charging pile, the optimization objective function is constructed. The objective function is set to minimize the sum of the differences between the power reduction and the power increase of each charging pile, thus obtaining a dual-objective optimization control model. Based on the load status determination results of the transformer area, the dual-objective optimization control model is subjected to constraint setting processing. When the transformer area is determined to be overloaded, the constraint condition is set that the power increase of each charging pile is 0 and the sum of the power decrease of each charging pile is greater than or equal to the power difference of the transformer area overload. When the transformer area is determined to be in a state of sufficient load, the constraint condition is set that the power decrease of each charging pile is 0 and the sum of the power increase of each charging pile is less than or equal to the power margin that can be increased in the transformer area, thus obtaining the optimization control model.

5. The charging pile power adjustment method based on the load rate of the distribution area according to claim 1, characterized in that, Step S4 includes: The optimized control model is input into the proportional power allocation algorithm for solution processing. Based on the upper limit of power reduction and the upper limit of power increase of each charging pile in the adjustable power range database of the charging pile, the power reduction ratio coefficient and the power increase ratio coefficient are calculated to obtain the proportional allocation parameters. Based on the proportional allocation parameters, the current charging power of each charging pile is proportionally reduced. The current charging power of each charging pile is multiplied by the power reduction ratio coefficient and the standardized charging status data to obtain the charging power reduction of each charging pile. Based on the proportional allocation parameters, the power margin of each charging pile is proportionally increased. The difference between the rated power and the current charging power of each charging pile is multiplied by the power increase ratio coefficient and the standardized charging status data to obtain the charging power increase of each charging pile. The charging power reduction and charging power increase are subjected to constraint verification to ensure that the charging power reduction and charging power increase of each charging pile are not both greater than 0 at the same time, and that the total power change after adjustment meets the load rate control requirements of the transformer area, thus obtaining the final charging power adjustment allocation result of each charging pile.

6. The charging pile power adjustment method based on the load rate of the distribution area according to claim 5, characterized in that, The step of inputting the optimized control model into the proportional power allocation algorithm for solution processing includes: The objective function and constraints in the optimization control model are converted into a standard linear programming problem format. The power reduction and power increase of each charging pile are set as decision variables, and a linear programming solution matrix is ​​established to obtain a standardized optimization problem expression. Based on the standardized optimization problem expression, iterative solution processing is performed. The decision variables are optimized step by step using the simplex method. The iteration stops when the objective function value converges and all constraints are satisfied, and the optimal power reduction ratio coefficient and power increase ratio coefficient are obtained. The power reduction ratio coefficient is validated against the upper limit of power reduction in the adjustable power range database of each charging pile to ensure that the ratio coefficient value is between 0 and 1 and the calculated power adjustment amount does not exceed the actual adjustable range of each charging pile, thus obtaining the validated proportional allocation parameters. The verified proportional allocation parameters are subjected to convergence testing. The difference between two consecutive iterations is calculated. When the difference is less than a preset convergence threshold, the algorithm is confirmed to have converged. When the difference is greater than the convergence threshold, the iteration calculation continues to obtain the proportional allocation parameters.

7. The charging pile power adjustment method based on the load rate of the distribution area according to claim 1, characterized in that, Step S5 includes: The difference between the reduction in charging power and the current charging power of each charging pile is calculated, and the increase in charging power is added to the current charging power of each charging pile to generate the adjusted target charging power value for each charging pile, thus obtaining the power control command. Based on the power control command, a power adjustment command is sent to each charging pile through the charging pile communication interface. At the same time, the actual total load power of the area after the adjustment is executed is collected, and the ratio of the actual total load power of the area to the rated capacity of the area is calculated to obtain the actual load rate of the area after adjustment. The deviation between the actual load rate of the adjustment background area and the preset control threshold is calculated. When the deviation exceeds the preset deviation threshold, the power reduction ratio and power increase ratio of the proportional power allocation algorithm are adaptively adjusted. When the deviation is within the preset deviation threshold range, the current control parameters remain unchanged, and the optimized control parameters are obtained and fed back to the proportional power allocation algorithm.

8. A charging pile power regulation system based on the load rate of the transformer substation, characterized in that, For implementing the charging pile power adjustment method based on the substation load rate as described in any one of claims 1-7, the charging pile power adjustment system based on the substation load rate includes: The data acquisition module is used to collect the current total load power and rated capacity of the transformer area, calculate the current load rate of the transformer area, and obtain the current charging power, rated power and charging status identifier of each charging pile to generate transformer area load status data. The power calculation module is used to calculate the upper limit of power reduction and the upper limit of power increase for each charging pile based on the charging status identifier and the current charging power, and to construct a database of adjustable power range for charging piles based on the load status data of the distribution area. The model building module is used to build an optimized control model based on the comparison between the current load rate of the transformer area and the preset control threshold, combined with the adjustable power range database of the charging pile, with the goal of maximizing the satisfaction of charging demand, and to set the constraint condition that the load rate of the transformer area does not exceed the threshold. The power allocation module is used to solve the optimization control model through a proportional power allocation algorithm, and to allocate power proportionally according to the current adjustable power of each charging pile, so as to obtain the reduction and increase of charging power for each charging pile. The effect evaluation module is used to generate power control commands based on the reduction and increase of charging power, evaluate the adjustment effect by monitoring the deviation between the actual load rate of the adjustment background area and the preset control threshold, and dynamically optimize the control parameters of the proportional power allocation algorithm.

9. A charging pile power adjustment device based on the load rate of the distribution area, characterized in that, The device includes a memory and a processor, wherein the memory stores a computer program that can run on the processor, and the processor executes the computer program to implement the charging pile power adjustment method based on the substation load rate 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 run by the processor, the processor performs the charging pile power adjustment method based on the substation load rate as described in any one of claims 1 to 7.

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