A charging pile power control method and system based on load monitoring analysis

Abstract

The present application belongs to the field of electric power system and automation technology, the method comprises the following steps: obtaining data and integrating transmission to the control platform, formulating data error prevention strategy; setting the distribution transformer load threshold and the charging load proportion threshold according to the transformer operation condition, executing the power control strategy; according to the power grid and charging pile data, the data flow is transferred, the charging pile obtains the instruction and executes. The present application solves the problems that the traditional charging pile power control method cannot dynamically adjust the strategy according to the charging demand and the power grid load in real time, the energy utilization efficiency is low, the power grid overload and voltage fluctuation are easily caused, and the like, effectively integrates the existing electric vehicle load resources and fully mobilizes the resource flexibility, realizes the controllable and adjustable electric vehicle load resources, and guarantees the safe and stable operation of the power grid system.

Description

Technical Field

[0001] This invention relates to the field of power systems and automation technology, and to a power control technology for charging piles based on load monitoring and analysis. Background Technology

[0002] With the promotion and construction of charging facilities and the continuous improvement of the charging network, electric vehicle charging loads are being connected to the power grid on a large scale. The spatial and temporal uncertainties of this connection pose new challenges to the operation and development of the power grid. Electricity consumption is increasing year by year, while the capacity of existing power supply equipment is limited and expansion is difficult. On the other hand, the uneven power demand of electric vehicle charging results in a significant waste of power output capacity. To ensure the stable operation of power supply equipment and improve economic efficiency, flexible charging control is implemented for the charging equipment.

[0003] Charging pile power control refers to the process of managing and adjusting the charging power of electric vehicle charging piles. The purpose of charging pile power control is to rationally allocate and adjust the power output of charging piles based on actual demand and grid conditions, in order to achieve an efficient, safe, and sustainable charging process. Traditional charging pile power control suffers from drawbacks such as inflexibility, energy waste, significant impact on the power grid, and a lack of intelligent interconnection capabilities.

[0004] Inflexible: Traditional charging pile power control is often fixed, unable to adjust dynamically in real time according to charging demand and grid load. This means that regardless of whether charging demand is high or low, the charging pile charges at a fixed power, leading to resource waste or failure to meet demand. Energy Waste: Traditional charging pile power control does not consider grid load and energy efficiency, often charging at a fixed power, resulting in energy waste during off-peak hours or when demand is low. Significant Impact on the Grid: Traditional charging pile power control does not effectively manage the impact of charging load on the grid, especially during peak hours or large-scale charging, which may cause grid overload, voltage fluctuations, and other problems. Lack of Intelligent Interconnection Functions: Traditional charging pile power control often lacks intelligent interconnection functions, unable to effectively interact and schedule data with the grid, users, and other equipment, limiting the intelligence level and overall performance of the charging system. Summary of the Invention

[0005] In view of the aforementioned existing problems, this invention is proposed. Addressing the issues of inflexible power control, energy waste, significant impact on the power grid, and lack of intelligent interconnection in existing charging pile technologies, this invention collects and integrates grid load data from the power grid energy platform and charging load data from third-party operating platforms. It intelligently formulates different charging pile power control strategies for different situations, solving the problems of traditional charging pile power control methods that cannot dynamically adjust strategies in real time according to charging demand and grid load, have low energy utilization efficiency, and are prone to grid overload and voltage fluctuations. It effectively integrates existing electric vehicle load resources and fully mobilizes resource flexibility, achieving controllable and adjustable electric vehicle load resources, and ensuring the safe and stable operation of the power grid system.

[0006] Therefore, a power control method for charging piles based on load monitoring and analysis is provided.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a power control method for charging piles based on load monitoring and analysis, comprising:

[0008] Data is acquired, integrated, and transmitted to the control platform to formulate data error prevention strategies; based on the transformer's operating status, distribution transformer load thresholds and charging load ratio thresholds are set, and power control strategies are executed; data flow is performed based on grid and charging pile data, and the charging piles acquire and execute instructions.

[0009] As a preferred embodiment of the charging pile power control method based on load monitoring and analysis described in this invention, the data error prevention strategy includes receiving transformer load information and real-time charging power data of the charging pile, integrating them, and formulating a data error prevention strategy: performing data anomaly identification, data deviation warning, and data supplementation.

[0010] The data anomaly identification includes establishing a data cleaning mechanism. After receiving transformer load information and real-time charging power data from the charging pile, the charging pile load control identifies the data before storing it in the server: when the high load value is higher than the rated capacity of the distribution transformer and lasts for more than 1 hour, and the charging load is greater than the load of the branch line, it is captured and removed to prevent the entry of abnormal data from affecting the abnormal triggering of the strategy.

[0011] The data deviation early warning includes establishing a data deviation early warning mechanism, which involves classifying historical baseline load data into weekday baselines and holiday baselines, and then calculating the deviation for each load point value after comparing it with real-time load data.

[0012] P Δt =P rt -P bt

[0013] Among them, P Δt P represents the load deviation at time t. rtTo monitor the active power of the load at time t in real time, P bt The load active power value is the baseline value at time t; when the deviation exceeds the historical average threshold, an early warning is issued. When the policy is triggered, the first trigger point is ignored, and execution begins when the deviation reaches x consecutive points.

[0014] As a preferred embodiment of the charging pile power control method based on load monitoring and analysis described in this invention, the data supplementation includes establishing a data supplementation mechanism. For data with empty real-time distribution transformer load point values, supplementation is performed through the next interface handshake transmission. Each interface interaction verifies the data at the previous time point. If empty values ​​are found, they are supplemented. If the supplementation fails this time, it continues to be supplemented next time until the data is no longer empty.

[0015] As a preferred embodiment of the charging pile power control method based on load monitoring and analysis described in this invention, the transformer operation status includes setting the automatic power control strategy for charging piles based on real-time transformer load information and charging load information, as well as the transformer load threshold and charging load ratio threshold.

[0016] The starting and stopping of the charging pile equipment includes remotely shutting down and starting the equipment by the charging power control module.

[0017] The charging pile power control includes power voltage drop and charging pile equipment start / stop: the power voltage drop is controlled according to the rated power ratio, specifically the ratio of the real-time load of the distribution transformer exceeding a threshold, and is controlled according to the absolute power value.

[0018] P V =k×P

[0019]

[0020] Among them, P actual P represents the actual load power. threshold Where S is the power threshold, S is the total number of charging piles in the distribution transformer topology, and P is the power threshold. V Where k is the power voltage drop and k is the proportional value.

[0021] As a preferred embodiment of the charging pile power control method based on load monitoring and analysis described in this invention, the power control strategy includes determining whether the distribution transformer load exceeds the distribution transformer load threshold after the integrated power grid and charging pile load and charging power data are transmitted. If the distribution transformer load does not exceed the distribution transformer load threshold, then there is no need to execute the power control strategy.

[0022] When the transformer load exceeds the transformer load threshold, it is determined whether the charging load exceeds the percentage threshold. If the charging load does not exceed the percentage threshold, there is no need to execute the power control strategy.

[0023] When the charging load exceeds the percentage threshold, the automatic power control strategy for the charging pile needs to be executed to determine the transformer type. If the transformer is a public transformer, the charging pile is generally a private AC charging pile, and the start / stop mode of the equipment is selected for control.

[0024] When the transformer is a dedicated transformer, the type of charging pile is determined. If the charging pile is an AC charging pile, the start / stop method of the equipment is selected for control.

[0025] When the charging pile type is a DC charging pile, then the control method based on the power voltage drop of the charging pile is selected.

[0026] As a preferred embodiment of the charging pile power control method based on load monitoring and analysis described in this invention, the data transfer includes the following data transfer methods: transformer load acquisition and charging pile charging data acquisition.

[0027] The transformer load acquisition includes transmitting data to the peer system via unidirectional transmission, collecting line data, distribution transformer data, rated capacity data, and real-time load data. The load data transmission frequency is f minutes / time.

[0028] The charging data acquisition of the charging pile includes transmitting data to the peer system in a two-way interactive manner, collecting and sending charging loads, and receiving control commands. The load data transmission frequency is f minutes / time.

[0029] As a preferred embodiment of the charging pile power control method based on load monitoring and analysis described in this invention, the data flow method includes: the charging power control module acquiring charging pile file data and real-time charging load data from directly connected charging piles and third-party operator platforms, reporting according to the affiliation relationship between sites and charging piles, establishing site-level resource files and load information, substation load monitoring providing distribution network topology, reporting data according to the topology relationship of distribution areas, transformers, and sites, aggregating equipment resources and charging load information, executing load control triggering conditions and load control execution schemes in the control strategy, real-time monitoring of distribution area and transformer load thresholds, and the ratio threshold of charging load to total load data to determine whether the strategy is executed.

[0030] The control strategy is not triggered when the power control strategy does not reach the distribution transformer load threshold and the charging load ratio threshold.

[0031] When the power control strategy exceeds the distribution transformer load threshold and the charging load ratio threshold, a control command is issued according to the station, charging pile, and network topology, including the specific execution time and the execution load control amount. After receiving the command, the charging pile starts to execute and feeds back the execution result to the control system for archiving.

[0032] Another objective of this invention is to provide a system for power control of charging piles based on load monitoring and analysis. The data acquisition and integration module can monitor the load status of the charging pile in real time, collect relevant data, integrate it, and transmit it to the next module. The data error prevention module can analyze and process the collected data to avoid data errors or anomalies, thereby ensuring the stability and accuracy of the system. The power control strategy module can formulate the optimal charging power control strategy based on the load status and charging demand of the charging pile to ensure the safe and efficient operation of the charging pile. The data transfer module can realize the transmission and exchange of data between various modules, enabling the entire system to work efficiently and collaboratively, achieving optimized control of the charging pile. This charging pile power control system based on load monitoring and analysis can realize real-time monitoring and control of the charging pile, optimize the operating efficiency and safety of the charging pile, and improve the charging experience and user experience.

[0033] A charging pile power control system based on load monitoring and analysis is characterized by comprising a data acquisition and integration module, a data error prevention module, a power control strategy module, and a data transfer module.

[0034] The data acquisition and integration module is responsible for collecting, integrating, and transmitting the load monitoring data of the charging piles.

[0035] The data error prevention module verifies and re-collects the collected data to ensure its accuracy and reliability.

[0036] The power control module formulates corresponding power control strategies based on load monitoring data and the characteristics of the charging pile to achieve optimized operation of the charging pile.

[0037] The data transfer module transmits the power control strategy to the charging pile control system, monitors the operating status and charging progress of the charging pile, and feeds back the relevant data to the upper-level system.

[0038] A computer device includes a memory and a processor, the memory storing a computer program, characterized in that the processor executes the computer program to implement the steps of a method for power control of charging piles based on load monitoring and analysis.

[0039] A computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of a method for power control of a charging pile based on load monitoring and analysis.

[0040] The beneficial effects of this invention are as follows: The charging pile power control method based on load monitoring and analysis helps manage the power grid load and avoid overload situations. By rationally allocating charging power, peak grid loads can be evenly distributed, reducing the impact on the power system and improving the reliability and stability of the power grid. The charging pile power control method proposed in this invention can rationally arrange charging power according to the supply and demand of the power system, optimizing the utilization efficiency of energy resources. By flexibly adjusting power according to user charging needs and grid load, energy waste and unnecessary power consumption can be reduced, improving the operational efficiency of charging stations. The charging pile power control method based on load monitoring and analysis allows for better management of the utilization rate and service quality of charging facilities. Rationally allocating charging power according to user needs and grid load can improve charging efficiency, reduce user waiting time, and enhance user experience and satisfaction. Attached Figure Description

[0041] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein:

[0042] Figure 1 This is a flowchart illustrating a charging pile power control method based on load monitoring and analysis, as provided in one embodiment of the present invention.

[0043] Figure 2 This is a schematic diagram illustrating the main principle of a charging pile power control method based on load monitoring and analysis, provided as an embodiment of the present invention.

[0044] Figure 3 This is a schematic diagram of the charging pile power control process according to an embodiment of the present invention, which is a charging pile power control method based on load monitoring and analysis.

[0045] Figure 4 This is a data error prevention flowchart for a charging pile power control method based on load monitoring and analysis, provided as an embodiment of the present invention.

[0046] Figure 5 This is a schematic diagram of the data flow of a charging pile power control method based on load monitoring and analysis, provided as an embodiment of the present invention.

[0047] Figure 6 This is a schematic diagram illustrating the workflow of a charging pile power control system based on load monitoring and analysis, provided as an embodiment of the present invention. Detailed Implementation

[0048] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0049] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0050] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is mutually exclusive, either alone or selectively, with other embodiments.

[0051] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0052] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0053] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections 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.

[0054] Example 1

[0055] Reference Figure 1This is the first embodiment of the present invention, which provides a charging pile power control method based on load monitoring and analysis, including:

[0056] S1: Acquire data, integrate and transmit it to the control platform, and formulate data error prevention strategies.

[0057] Furthermore, the topology and load information of the power grid distribution transformer and the charging load and power data of the charging pile are obtained respectively. In the embodiment of the present invention, the power grid topology and load data are obtained from the "Caiyun Energy" platform, the charging load and power data of the directly connected charging pile are obtained from the "Caiyun Charge" platform, and the charging load and power data of the charging pile are obtained from the third-party operator platform. The obtained data are then transmitted to the "Caiyun Charge" platform.

[0058] It should be noted that after receiving the transformer load information and the real-time charging power data of the charging pile, the charging pile load control module integrates the data, formulates data error prevention strategies, and ensures the reliability and accuracy of the data.

[0059] It should also be noted that the data error prevention strategy includes integrating the received transformer load information and real-time charging power data from charging piles. First, the collected data undergoes preprocessing, including data cleaning, format conversion, and outlier handling. The preprocessed transformer load information and real-time charging power data are then integrated. During integration, attention must be paid to data correlation; for example, the transformer load information and charging power data can be correlated by time and geographical location to facilitate subsequent analysis and application. The integrated data is then stored in a designated database or data warehouse for subsequent querying and management. During storage, data mining and machine learning techniques can be used to classify, aggregate, and compress the data to improve storage efficiency and query performance. The analysis results are then presented to users in a visual manner.

[0060] It should also be noted that the following data error prevention strategies were developed: data anomaly identification, data deviation warning, and data re-collection.

[0061] Data anomaly identification includes establishing a data cleaning mechanism. After receiving transformer load information and real-time charging power data from the charging pile, the charging pile load control identifies the data before storing it in the server: when the high load value is higher than the rated capacity of the distribution transformer and lasts for more than 1 hour, and the charging load is greater than the load of the branch line, it is captured and removed to prevent the entry of abnormal data from affecting the abnormal triggering of the strategy.

[0062] Data deviation early warning includes establishing a data deviation early warning mechanism, which involves classifying historical baseline load data into weekday baselines and holiday baselines, and then calculating the deviation for each load point value.

[0063] P Δt =P rt -P bt

[0064] Among them, P Δt P represents the load deviation at time t. rt To monitor the active power of the load at time t in real time, P bt The load active power value is the baseline value at time t; when the deviation exceeds the historical average threshold, an early warning is issued. When the policy is triggered, the first trigger point is ignored, and execution begins when the deviation reaches x consecutive points.

[0065] The data supplementation mechanism includes establishing a data supplementation mechanism to supplement data with empty values ​​at real-time distribution transformer load points through the next interface handshake: each interface interaction verifies the data at the previous time point, and supplements the data when empty values ​​are found. If the supplementation fails this time, it will continue to be supplemented in the next time until the data is no longer empty.

[0066] S2: Set the distribution transformer load threshold and charging load ratio threshold according to the transformer operation status, and execute the power control strategy.

[0067] Furthermore, the charging power control module sets the automatic power control strategy for the charging pile based on the real-time load information of the transformer and the charging load information, with the transformer load threshold and the charging load ratio threshold set according to the transformer's operating conditions.

[0068] It should be noted that charging pile power control includes two control methods: power voltage drop and charging pile equipment start / stop. The power voltage drop method can be controlled according to the rated power ratio, specifically the ratio of the real-time load of the distribution transformer exceeding the threshold; or it can be controlled according to the absolute power value.

[0069] P V =k×P

[0070]

[0071] Among them, P actual P represents the actual load power. threshold Where S is the power threshold, S is the total number of charging piles in the distribution transformer topology, and P is the power threshold. V The voltage drop is denoted by k, and the ratio is denoted by k. The start and stop of the charging pile equipment are mainly controlled remotely by the charging power control module.

[0072] After the charging power control module sets the distribution transformer load threshold and the charging load percentage threshold based on the distribution transformer load and the charging load, the power control strategy execution process is as follows:

[0073] (1) Determine whether the transformer load exceeds the transformer load threshold:

[0074] If the transformer load does not exceed the transformer load threshold, there is no need to implement the power control strategy; if the transformer load exceeds the transformer load threshold, proceed to the next step.

[0075] (2) Determine whether the charging load exceeds the percentage threshold:

[0076] If the charging load does not exceed the percentage threshold, there is no need to implement a power control strategy; if the charging load exceeds the percentage threshold, an automatic power control strategy for the charging pile needs to be implemented.

[0077] (3) Determine the transformer type:

[0078] If the transformer is a public transformer, the charging piles are generally private AC charging piles, and the equipment start-stop method should be selected for control; if the transformer is a private transformer, the type of charging pile needs to be further determined.

[0079] (4) Determine the type of charging station:

[0080] If the charging pile is an AC charging pile, select the device start / stop method for control; if the charging pile is a DC charging pile, select the method based on the charging pile power voltage drop for control.

[0081] S3: Data flow is performed based on power grid and charging pile data, and the charging pile receives and executes instructions.

[0082] Furthermore, the data flow includes transformer load acquisition and charging pile charging data acquisition. The transformer load acquisition involves transmitting data to the peer system via one-way transmission, collecting line data, distribution transformer data, rated capacity data, and real-time load data. The load data transmission frequency is f minutes / time, that is, the load data is updated once every f minutes. This acquisition method is conducive to real-time monitoring of the transformer's operating status and provides a basis for power grid dispatching and management.

[0083] Charging data collection for charging piles includes transmitting data to the peer system in a two-way interactive manner, collecting and sending charging load data, and receiving control commands. The load data transmission frequency is f minutes / time, meaning that the charging load data is updated every f minutes. This collection method is beneficial for real-time monitoring of the usage of charging piles, providing a basis for power grid dispatching and management, and also facilitates the implementation of refined charging management and improves charging efficiency.

[0084] It should be noted that the data flow method includes the charging power control module acquiring charging pile file data and real-time charging load data from directly connected charging piles and third-party operator platforms, reporting according to the affiliation of sites and charging piles, establishing site-level resource files and load information, substation load monitoring providing distribution network topology, reporting data according to the topology relationship of distribution areas, transformers, and sites, aggregating equipment resources and charging load information, executing load control trigger conditions and load control execution schemes in the control strategy, real-time monitoring of distribution area and transformer load thresholds, charging load and total load data ratio thresholds, and determining whether the strategy is executed.

[0085] The control strategy is not triggered when the power control strategy does not reach the distribution transformer load threshold and the charging load ratio threshold.

[0086] When the power control strategy exceeds the distribution transformer load threshold of 80% and the charging load ratio threshold of 40%, control commands are issued according to the station, charging pile, and network topology, including the specific execution time and the amount of load control to be executed. After receiving the command, the charging pile starts to execute and feeds back the execution result to the control system for archiving.

[0087] Example 2

[0088] Reference Figures 2-5 As an embodiment of the present invention, a power control method for charging piles based on load monitoring and analysis is provided. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0089] The system obtains grid topology and load data from the "Caiyun Energy" platform, charging load and power data of directly connected charging piles from the "Caiyun Charge" platform, and charging load and power data of charging piles from third-party operator platforms, and transmits the obtained data to the "Caiyun Charge" platform respectively.

[0090] Based on the "Caiyun Energy" and "Caiyun Charge" platforms, including a transformer, a charging pile, and a control platform, the test network should include corresponding hardware and software systems to achieve data acquisition, transmission, and control functions. The specific implementation is as follows:

[0091] Table 1 Data Acquisition and Transmission

[0092] 0 100 50 15 120 55 30 110 60 45 105 55 60 125 65 75 115 58 90 100 52

[0093] Table 2 Data Error Prevention Strategies

[0094] 0 - none 15 2.5 Warning 30 - none 45 3.5 Warning 60 - none 75 2.0 Warning 90 - none

[0095] An alert is issued when the deviation exceeds 20% of the historical 7-day average. The first trigger point is ignored, and execution begins when four consecutive points are triggered.

[0096] Table 3 Establishing a Data Deviation Early Warning Mechanism

[0097]

[0098]

[0099] In this embodiment, the threshold is set to 80% of the transformer capacity. The charging load percentage threshold can be flexibly set according to the charging load and the distribution transformer load. In this embodiment, it is set to 40%.

[0100] Table 4 sets the transformer load threshold and charging load percentage threshold.

[0101]

[0102] The load data transmission frequency is 15 minutes per transmission.

[0103] Table 5 Power Control Strategy

[0104] 0 50 Not executed 15 55 Not executed 30 60 Not executed 45 55 Not executed 60 65 implement 75 58 implement 90 5 implement

[0105] The Caiyun Energy Platform acquires grid topology information and load information such as distribution areas, transformers, and charging stations, and transmits this information to the Caiyun Charging Platform. The Caiyun Charging Platform acquires charging pile profile data from directly connected charging piles or third-party operator platforms, as well as real-time charging load and power data. It then combines the acquired grid load data and charging load data to conduct intelligent monitoring and analysis, formulates different power control methods for different situations, and then sends power control commands to the charging pile power control module. Through the charging pile power control module, the platform can directly control directly connected charging piles and indirectly control third-party operator platforms, achieving V2G friendly interaction and realizing the purpose of peak shaving and valley filling.

[0106] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0107] Example 3

[0108] The third embodiment of the present invention differs from the first two embodiments in that:

[0109] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion 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 computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this 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.

[0110] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0111] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0112] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0113] Example 4

[0114] Reference Figure 6 This is the fourth embodiment of the present invention. This embodiment provides a charging pile power control system based on load monitoring and analysis, including a data acquisition and integration module, a data error prevention module, a power control strategy module, and a data transfer module.

[0115] The data acquisition and integration module is responsible for collecting, integrating, and transmitting the load monitoring data of the charging piles.

[0116] The data error prevention module verifies and re-collects the collected data to ensure its accuracy and reliability.

[0117] The power control module formulates corresponding power control strategies based on load monitoring data and the characteristics of the charging pile to achieve optimized operation of the charging pile.

[0118] The data transfer module transmits the power control strategy to the charging pile control system, monitors the charging pile's operating status and charging progress, and feeds back the relevant data to the upper-level system.

[0119] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A power control method for charging piles based on load monitoring and analysis, characterized in that: include, Acquire data, integrate and transmit it to the control platform, and formulate data error prevention strategies; Based on the transformer's operating conditions, set the distribution transformer load threshold and charging load ratio threshold, and execute the power control strategy. Data is transferred based on data from the power grid and charging piles, and the charging piles receive and execute instructions. The data error prevention strategy includes receiving transformer load information and real-time charging power data from charging piles, integrating them, and formulating a data error prevention strategy: performing data anomaly identification, data deviation warning, and data supplementation. The data anomaly identification includes establishing a data cleaning mechanism. After receiving the transformer load information and the real-time charging power data of the charging pile, the charging pile load control module identifies the data before storing it in the server: when the high charging load point value is higher than the rated capacity of the distribution transformer and lasts for more than 1 hour, and the charging load is greater than the load of the branch line, it is captured and removed to prevent the entry of abnormal data from affecting the abnormal triggering of the strategy. The data deviation early warning includes establishing a data deviation early warning mechanism, which involves classifying historical baseline load data into weekday baselines and holiday baselines, and then calculating the deviation for each charging load point value. in, The charging load deviation at time t. To monitor the active power of the charging load at time t in real time, The active power of the charging load at baseline t; When the deviation exceeds the historical average threshold, an alert is issued. When the first trigger point of the strategy is reached, the data is ignored. When four consecutive points reach the trigger point, the strategy is executed. The data supplementation mechanism includes establishing a data supplementation mechanism to supplement data with empty values ​​at the real-time distribution transformer load point through the next interface handshake: each interface interaction verifies the data at the previous time point, and supplements the data when empty values ​​are found. If the data is not supplemented successfully in the current time, it will continue to be supplemented in the next time until the data is no longer empty. The power control strategy includes determining whether the distribution transformer load exceeds the distribution transformer load threshold after the integrated power grid, charging load, and charging power data are transmitted. If the distribution transformer load does not exceed the distribution transformer load threshold, then the power control strategy does not need to be executed. When the load on the distribution transformer exceeds the distribution transformer load threshold, it is determined whether the charging load exceeds the percentage threshold. If the charging load does not exceed the percentage threshold, there is no need to execute the power control strategy. When the charging load exceeds the percentage threshold, the automatic power control strategy of the charging pile needs to be executed to determine the transformer type. When the transformer is a public transformer, the charging pile is generally a private AC charging pile, and the charging pile equipment start-up and shutdown method is selected for control. When the transformer is a dedicated transformer, the type of charging pile is determined. If the type of charging pile is an AC charging pile, the start / stop method of the equipment is selected for control. When the charging pile type is a DC charging pile, the control method is selected according to the power voltage drop of the charging pile.

2. The charging pile power control method based on load monitoring and analysis as described in claim 1, characterized in that: The transformer operation status includes setting automatic control strategies for charging pile power based on real-time transformer load information and charging load information, as well as transformer load thresholds and charging load percentage thresholds. The charging pile equipment start-up and shutdown includes remote shutdown and startup of the equipment by the charging power control module; The charging pile power control includes power voltage drop and charging pile equipment start / stop: the power voltage drop is controlled according to the rated power ratio, specifically the ratio of the real-time load of the distribution transformer exceeding a threshold, and is controlled according to the absolute power value. in, This is a proportional value. It is obtained by combining the actual load power and power threshold with the total number of charging piles under the distribution transformer topology. This is the power voltage drop.

3. The charging pile power control method based on load monitoring and analysis as described in claim 2, characterized in that: The data transfer process includes data transfer methods for transformer charging load acquisition and charging pile charging data acquisition: The transformer's charging load acquisition includes transmitting data to the peer system via unidirectional transmission, collecting line data, distribution transformer data, rated capacity data, and real-time load data. The load data transmission frequency is f minutes / time. The charging data acquisition of the charging pile includes transmitting data to the peer system in a two-way interactive manner, collecting and sending charging loads, and receiving control commands. The load data transmission frequency is f minutes / time.

4. The charging pile power control method based on load monitoring and analysis as described in claim 3, characterized in that: The data flow method includes the charging power control module acquiring charging pile file data and real-time charging load data from directly connected charging piles and third-party operator platforms, reporting according to the affiliation of sites and charging piles, establishing site-level resource files and charging load information, substation load monitoring providing distribution network topology, reporting data according to the topology relationship of distribution areas, transformers, and sites, aggregating equipment resources and charging load information, executing the trigger conditions and execution scheme of charging load control in the control strategy, real-time monitoring of distribution area and transformer load thresholds, and the ratio threshold of charging load to total load data to determine whether the strategy is executed. The control strategy is not triggered when the power control strategy does not reach the distribution transformer load threshold and the charging load ratio threshold. When the power control strategy exceeds the distribution transformer load threshold and the charging load ratio threshold, a control command is issued according to the station, pile, and network topology, including the specific execution time and the amount of charging load control to be executed. After the charging pile receives the command, it starts to execute and feeds back the execution result to the control system for archiving.

5. A system employing the charging pile power control method based on load monitoring and analysis as described in any one of claims 1 to 4, characterized in that: It includes a data acquisition and integration module, a data error prevention module, a power control module, and a data transfer module; The data acquisition and integration module is responsible for collecting, integrating, and transmitting the charging load monitoring data of the charging piles. The data error prevention module verifies and re-collects the collected data to ensure its accuracy and reliability. The power control module formulates corresponding power control strategies based on charging load monitoring data and the characteristics of the charging pile to achieve optimized operation of the charging pile. The data transfer module transmits the power control strategy to the charging pile control system, monitors the operating status and charging progress of the charging pile, and feeds back the relevant data to the upper-level system.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

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