A charging station phase management method, device, terminal and storage medium

Abstract

The present invention provides a charging station phase management method, device, terminal and storage medium, wherein a three-phase contactor is provided on the charging device, and the three-phase contactor is used to connect the charging device to one of the phases in the three-phase circuit laid in the charging station. The method includes predicting the parking positions corresponding to the electric vehicles entering the charging station in the next period and the charging demand load generated by each parking position; determining the single-phase currents on the three phases of all parking positions; substituting the single-phase currents on the three phases into a pre-constructed three-phase optimal power flow model to solve the optimal phase corresponding to each parking position; using the three-phase contactor of the charging device at each parking position, the charging device is connected to the corresponding optimal phase in the three-phase circuit. The present application realizes the three-phase optimal power flow in the station through phase selection to reduce power grid losses, thereby reducing charging costs.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging station management, and in particular to a charging station phase management method, device, terminal and storage medium. Background Art

[0002] With the popularity of electric vehicles, the demand for charging electric vehicles is growing, and charging stations have become important facilities for energy supply of electric vehicles. Charging stations are equipped with charging devices, which are divided into three-phase current charging and single-phase current charging. The existing three-phase current charging devices and single-phase current charging devices are fixed-phase and cannot select the phase, which makes it impossible to achieve optimal management of charging stations based on phase selection, resulting in high power grid losses.

[0003] Therefore, the prior art has defects and needs to be improved and developed. Summary of the invention

[0004] The technical problem to be solved by the present invention is that, in view of the above-mentioned defects of the prior art, a charging station phase management method, device, terminal and storage medium are provided, aiming to solve the problem in the prior art that the charging station cannot perform phase selection, which leads to the inability to achieve optimal management of the charging station based on phase selection and high power grid loss.

[0005] The technical solution adopted by the present invention to solve the technical problem is as follows:

[0006] A phase management method for a charging station, wherein a charging device is provided in the charging station, and a three-phase contactor is provided on the charging device, and the three-phase contactor is used to connect the charging device to one phase of a three-phase circuit laid in the charging station; the method comprises:

[0007] Predict the parking locations corresponding to the electric vehicles that will enter the charging station in the next period and the charging demand load generated by each parking location based on the pre-trained prediction model;

[0008] Determining single-phase currents of all parking locations on three phases based on charging demand loads generated by each of the parking locations;

[0009] Substituting the single-phase currents on the three phases into a pre-constructed three-phase optimal power flow model, and solving the optimal phase corresponding to each parking position based on the three-phase optimal power flow model;

[0010] The charging device is connected to the corresponding optimal phase in the three-phase circuit by using the three-phase contactor of the charging device at each parking position.

[0011] In one embodiment of the present application, the prediction model is trained based on historical parking data of the charging station; the historical parking data includes: the parking positions of electric vehicles entering the charging station in each historical period and the charging demand load generated by each electric vehicle parking position in each historical period.

[0012] In one embodiment of the present application, determining the single-phase currents of all parking positions on three phases based on the charging demand loads generated by each of the parking positions includes:

[0013] The single-phase currents of all the parking positions on the three phases are determined based on the product of the charging demand loads generated by the respective parking positions and the decision variables of the three phases.

[0014] In one embodiment of the present application, the sum of the decision variables of the three phases is 1, and the value of each decision variable is 0 or 1.

[0015] In one embodiment of the present application, before substituting the single-phase currents on the three phases into the pre-built three-phase optimal power flow model, the method further includes:

[0016] The three-phase unbalance is determined based on the single-phase currents on the three phases.

[0017] In one embodiment of the present application, substituting the single-phase currents on the three phases into a pre-built three-phase optimal power flow model, and solving the optimal phase corresponding to each parking position based on the three-phase optimal power flow model includes:

[0018] Substituting the single-phase currents on the three phases and the three-phase imbalance into a pre-built three-phase optimal power flow model, wherein the transformer copper loss is determined based on the single-phase currents on the three phases, and the transformer iron loss is determined based on the three-phase imbalance, and the sum of the transformer copper loss and the transformer iron loss is the comprehensive station operation cost caused by the charging load;

[0019] With the goal of minimizing the comprehensive operating cost of the station, the three-phase optimal power flow model is solved to obtain the optimal phase corresponding to each parking position.

[0020] In one embodiment of the present application, the three-phase optimal power flow model is solved with the goal of minimizing the comprehensive operating cost of the station to obtain the optimal phase corresponding to each parking position, including:

[0021] Obtaining preset current thresholds corresponding to three phases;

[0022] With the goal of minimizing the comprehensive operating cost of the station and the constraint that the single-phase currents on the three phases are less than or equal to the corresponding preset current thresholds, the three-phase optimal power flow model is solved to obtain the optimal phase corresponding to each parking position.

[0023] The present application also provides a charging station phase management device, wherein the charging station is provided with a charging device, the charging device is provided with a three-phase contactor, and the three-phase contactor is used to connect the charging device to one phase of a three-phase circuit laid in the charging station; the device comprises:

[0024] A prediction module is used to predict the parking positions corresponding to electric vehicles entering the charging station in the next period and the charging demand load generated by each parking position based on a pre-trained prediction model;

[0025] A determination module, configured to determine the single-phase currents of all parking positions on three phases based on the charging demand loads generated by each of the parking positions;

[0026] A solution module, used for substituting the single-phase currents on the three phases into a pre-built three-phase optimal power flow model, and solving the optimal phase corresponding to each parking position based on the three-phase optimal power flow model;

[0027] The connection module is used to connect the charging device to the corresponding optimal phase in the three-phase circuit by using the three-phase contactor of the charging device at each parking position.

[0028] The present application also provides a terminal, which includes: a memory, a processor, and a charging station phase management program stored in the memory and executable on the processor, wherein the charging station phase management program implements the steps of the charging station phase management method as described above when executed by the processor.

[0029] The present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program can be executed to implement the steps of the charging station phase management method as described above.

[0030] The present invention provides a charging station phase management method, device, terminal and storage medium, wherein a charging device is provided in the charging station, and a three-phase contactor is provided on the charging device, and the three-phase contactor is used to connect the charging device to one of the phases in the three-phase circuit laid in the charging station; the method includes: predicting the parking positions corresponding to the electric vehicles entering the charging station in the next period and the charging demand load generated by each parking position according to a pre-trained prediction model; determining the single-phase currents of all parking positions on three phases based on the charging demand load generated by each parking position; substituting the single-phase currents on the three phases into a pre-constructed three-phase optimal power flow model, and solving the optimal phase corresponding to each parking position based on the three-phase optimal power flow model; using the three-phase contactor of the charging device at each parking position, the charging device is connected to the corresponding optimal phase in the three-phase circuit. The present application predicts the charging demand load and parking position in the next period, and then solves the optimal phase according to the three-phase optimal power flow model, and realizes the three-phase optimal power flow in the station through phase selection to reduce power grid losses, thereby reducing charging costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of a preferred embodiment of the charging station phase management method of the present invention;

[0032] Figure 2 It is a functional principle block diagram of a preferred embodiment of the charging station phase management device of the present invention;

[0033] Figure 3 It is a functional principle block diagram of a preferred embodiment of the terminal in the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0035] The following describes the charging station phase management method, device, terminal and storage medium of the embodiment of the present application with reference to the accompanying drawings. The charging station is provided with a charging device, and the charging device is provided with a three-phase contactor, and the three-phase contactor is used to connect the charging device to one of the phases in the three-phase circuit laid in the charging station. In view of the problem that the charging station mentioned in the above background technology cannot select the phase, which leads to the inability to achieve the optimal management of the charging station based on the phase selection, and the high power grid loss, the present application provides a charging station phase management method, in which the parking positions corresponding to the electric vehicles entering the charging station in the next period and the charging demand load generated by each parking position are predicted according to the pre-trained prediction model; the single-phase currents of all parking positions on the three phases are determined based on the charging demand load generated by each parking position; the single-phase currents on the three phases are substituted into the pre-constructed three-phase optimal power flow model, and the optimal phases corresponding to each parking position are solved based on the three-phase optimal power flow model; the charging device is connected to the corresponding optimal phase in the three-phase circuit by using the three-phase contactors of the charging devices at each parking position. This application predicts the charging demand load and parking location in the next period, and then solves the optimal phase according to the three-phase optimal power flow model. The three-phase optimal power flow in the station is achieved through phase selection to reduce grid losses, thereby reducing charging costs.

[0036] See also Figure 1 , Figure 1 Flowchart of the phase management method of the charging station in the present invention. Figure 1 As shown, the charging station phase management method according to the embodiment of the present invention includes:

[0037] Step S100: predicting the parking positions corresponding to electric vehicles that will enter the charging station in the next period and the charging demand load generated by each parking position according to the pre-trained prediction model.

[0038] Specifically, for stations that provide charging services based on single-phase charging devices, the phase of the three-phase current in the station is completely dependent on the random parking behavior of the car owner, and phase selection cannot be performed, and thus effective phase balance management cannot be performed. On the one hand, this situation significantly increases the power transmission loss of the transformer behind the meter, thereby increasing the station operation cost; on the other hand, this situation seriously affects the power quality in the low-voltage area of ​​the power system, causing the power transmission loss of the power system to increase and accelerating the aging of equipment.

[0039] In order to reasonably and efficiently manage the phase of the charging station, the embodiment of the present application predicts the parking positions corresponding to the electric vehicles that will enter the charging station in the next period and the charging demand load generated by each parking position, so as to achieve reasonable phase selection.

[0040] In an embodiment of the present application, the prediction model is trained based on historical parking data of the charging station; the historical parking data includes: the parking positions of electric vehicles entering the charging station in each historical period and the charging demand load generated by each electric vehicle parking position in each historical period.

[0041] Specifically, the embodiments of the present application can reveal the temporal and spatial distribution patterns of electric vehicle charging demand by analyzing historical parking data. These data provide rich samples for building and training prediction models, enabling the models to learn the dynamic characteristics of electric vehicle charging demand, thereby improving the accuracy of future charging demand predictions. In addition, understanding the charging demand load of electric vehicles at different parking locations helps to make more reasonable planning when distributing charging loads.

[0042] like Figure 1 As shown, the charging station phase management method described in this embodiment also includes:

[0043] Step S200: determining the single-phase currents of all parking positions on three phases based on the charging demand loads generated by the respective parking positions.

[0044] In the embodiment of the present application, the step S200 is specifically: determining the single-phase current of all parking positions on the three phases based on the product of the charging demand load generated by each parking position and the decision variables of the three phases.

[0045] Specifically, the specific impact of electric vehicle phase selection on three-phase current is:

[0046] ;

[0047] ;

[0048] ;

[0049] in, Represents the single-phase current corresponding to phase A, Represents the single-phase current corresponding to phase B, Represents the single-phase current corresponding to phase C, Indicates the parking location. Indicates the total number of parking locations, represents the decision variable of phase A, represents the decision variable of phase B, represents the decision variable of phase C, Represents the charging demand load generated by each parking location.

[0050] Since the charging demand load may vary with factors such as time and parking location, directly allocating current may cause imbalance in the three-phase circuit, thereby increasing the loss of power transmission. The embodiment of the present application introduces decision variables to dynamically optimize the distribution of current among the three phases based on the charging demand load predicted by the prediction model to maintain the balance of the three-phase circuit.

[0051] In one embodiment of the present application, the sum of the decision variables of the three phases is 1, and the value of each decision variable is 0 or 1.

[0052] Specifically, the charging phases of electric vehicles are:

[0053] ;

[0054] The embodiment of the present application sets the sum of the decision variables of the three phases to 1, and the value of each decision variable is 0 or 1, so that the charging demand load of each parking position can be flexibly distributed to a phase in the three-phase circuit. This distribution method not only takes into account the charging demand, but also takes into account the balance and efficiency of the three-phase circuit.

[0055] like Figure 1 As shown, the charging station phase management method described in this embodiment also includes:

[0056] Step S300: Substitute the single-phase currents on the three phases into a pre-constructed three-phase optimal power flow model, and solve the optimal phase corresponding to each parking position based on the three-phase optimal power flow model.

[0057] In the embodiment of the present application, before step S300, the step further includes: determining the three-phase imbalance based on the single-phase currents on the three phases.

[0058] Specifically, the three-phase imbalance during the entire station operation process is:

[0059] ;

[0060] in, Indicates unit time, Indicates a time period.

[0061] By calculating the three-phase imbalance, the embodiment of the present application can understand the distribution of current in each phase and guide power distribution. For example, electric vehicles with lower charging requirements can be directed to charge in phases with heavier loads to achieve three-phase load balance.

[0062] In one embodiment of the present application, the step S300 specifically includes: substituting the single-phase current on the three phases and the three-phase imbalance into a pre-constructed three-phase optimal power flow model, wherein the transformer copper loss is determined based on the single-phase current on the three phases, and the transformer iron loss is determined based on the three-phase imbalance, and the sum of the transformer copper loss and the transformer iron loss is the comprehensive operating cost of the station caused by the charging load; with the goal of minimizing the comprehensive operating cost of the station, solving the three-phase optimal power flow model to obtain the optimal phase corresponding to each parking position.

[0063] Specifically, a three-phase optimal power flow model with minimum three-phase imbalance at the station is constructed, and the optimal electric vehicle load phase allocation is aimed at minimizing the comprehensive operation cost of the station including the energy loss cost caused by the three-phase imbalance. The comprehensive operation cost of the station caused by the charging load can be expressed as:

[0064] ;

[0065] in, Indicates the comprehensive operating cost of the station. Taking the comprehensive use cost of the transformer as an example, it shows the increase in operating cost of the equipment caused by the three-phase imbalance of the system; Indicates transformer copper loss, Indicates transformer iron loss.

[0066] The transformer copper loss calculation formula for the comprehensive operation cost of the station is:

[0067] ;

[0068] Specifically, represents a constant quantity, is the current value of each phase, is the resistance value of the winding of each phase, Indicates unit time, Indicates a time period.

[0069] The transformer iron loss calculation formula for the comprehensive station operation cost is:

[0070] ;

[0071] Specifically, is the additional loss parameter caused by three-phase imbalance, is the three-phase unbalance of the transformer at time t, Indicates unit time, Indicates a time period.

[0072] In an embodiment of the present application, with the goal of minimizing the comprehensive operating cost of the station, the three-phase optimal power flow model is solved to obtain the optimal phase corresponding to each parking position, including: obtaining preset current thresholds corresponding to the three phases; with the goal of minimizing the comprehensive operating cost of the station, with the single-phase currents on the three phases being less than or equal to the corresponding preset current thresholds as constraints, the three-phase optimal power flow model is solved to obtain the optimal phase corresponding to each parking position.

[0073] Specifically, the maximum current limit of each phase is:

[0074] ;

[0075] in, Indicates the preset current threshold corresponding to each phase.

[0076] The embodiment of the present application substitutes the single-phase current into the three-phase optimal power flow model for solution, and can obtain the optimal phase allocation scheme with the goal of minimizing the total operating cost. It is also possible to further establish an optimal three-phase power flow model based on other load conditions at the system level such as buildings and regional distribution networks, and perform phase scheduling on the charging load of electric vehicles by selecting the phase of electric vehicles to achieve the optimal three-phase balance of the system.

[0077] like Figure 1 As shown, the charging station phase management method described in this embodiment also includes:

[0078] Step S400: Using the three-phase contactors of the charging devices at the respective parking positions, the charging devices are connected to the corresponding optimal phases in the three-phase circuit.

[0079] The embodiment of the present application performs reasonable current distribution through phase selection, which can reduce losses in the power transmission process, improve the overall efficiency of the system, and more accurately predict and meet the charging needs of electric vehicles while maintaining the balance of the three-phase circuit, thereby improving the operating efficiency of the charging station.

[0080] In one embodiment, the charging device is a shared charging device, which is movable. A path planning algorithm can be used to determine the best driving path for the shared charging device to achieve high-quality charging services. Specifically, the cloud service can receive the vehicle entry information and phase decision information collected in real time; through identification, if the vehicle has a historical parking space selection preference, the cloud obtains the location information and status information of all shared charging devices near its parking space preference point, including their location information and whether they are in an idle state; the cloud sends an instruction to the shared charging device delivery device to select the nearest idle shared device for delivery; the cloud sends an instruction to the selected shared charging device to select the decided phase by its contactor; waiting to be delivered to the demand point; the shared charging device is delivered to the designated parking space, connected to its three-phase circuit, and the phase of this charging service is determined by the pre-selection of the contactor, completing the implementation of the phase decision; if the vehicle has no historical parking space selection preference, the cloud waits until its parking is completed, and obtains the location information and status information of its actual parking space and all nearby shared charging devices, including their location information and whether they are in an idle state. In this way, the charging station can achieve the goals of high charging station operation efficiency and low three-phase imbalance of the power system under the large-scale electric vehicle charging demand.

[0081] In one embodiment, if Figure 2 As shown, based on the above-mentioned charging station phase management method, the present invention also provides a charging station phase management device accordingly, wherein the charging station is provided with a charging device, and the charging device is provided with a three-phase contactor, and the three-phase contactor is used to connect the charging device to one of the phases of the three-phase circuit laid in the charging station; the device comprises:

[0082] The prediction module 100 is used to predict the parking positions corresponding to the electric vehicles entering the charging station in the next period and the charging demand load generated by each parking position according to the pre-trained prediction model;

[0083] A determination module 200, configured to determine the single-phase currents of all parking locations on three phases based on the charging demand loads generated by each of the parking locations;

[0084] A solution module 300, for substituting the single-phase currents on the three phases into a pre-built three-phase optimal power flow model, and solving the optimal phase corresponding to each parking position based on the three-phase optimal power flow model;

[0085] The connection module 400 is used to connect the charging device to the corresponding optimal phase in the three-phase circuit by using the three-phase contactor of the charging device at each parking position.

[0086] Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present application. The terminal may include:

[0087] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0088] When the processor 502 executes the program, the charging station phase management method provided in the above embodiment is implemented.

[0089] Furthermore, the terminal further includes:

[0090] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0091] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0092] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory.

[0093] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0094] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0095] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0096] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the above charging station phase management method is implemented.

[0097] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0098] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0099] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes additional implementations, in which the order shown or discussed may not be followed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0100] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can read instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary and then storing it in a computer memory.

[0101] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0102] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0103] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0104] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

[0105] In summary, the present invention discloses a charging station phase management method, device, terminal and storage medium, wherein the charging station is provided with a charging device, and the charging device is provided with a three-phase contactor, and the three-phase contactor is used to connect the charging device to one of the phases in the three-phase circuit laid in the charging station; the method includes: predicting the parking position corresponding to the electric vehicle entering the charging station in the next period and the charging demand load generated by each parking position according to a pre-trained prediction model; determining the single-phase current of all parking positions on three phases based on the charging demand load generated by each parking position; substituting the single-phase current on the three phases into the pre-constructed three-phase optimal power flow model, and solving the optimal phase corresponding to each parking position based on the three-phase optimal power flow model; using the three-phase contactor of the charging device at each parking position, the charging device is connected to the corresponding optimal phase in the three-phase circuit. The present application predicts the charging demand load and parking position in the next period, and then solves the optimal phase according to the three-phase optimal power flow model, and realizes the three-phase optimal power flow in the station through phase selection to reduce power grid loss, thereby reducing charging costs.

[0106] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A charging station phase management method, characterized in that: The charging station is provided with a charging device, and the charging device is provided with a three-phase contactor, and the three-phase contactor is used to connect the charging device to one phase of a three-phase circuit laid in the charging station; the method comprises: Predict the parking locations corresponding to the electric vehicles that will enter the charging station in the next period and the charging demand load generated by each parking location based on the pre-trained prediction model; Determining single-phase currents of all parking locations on three phases based on charging demand loads generated by each of the parking locations; Substituting the single-phase currents on the three phases into a pre-constructed three-phase optimal power flow model, and solving the optimal phase corresponding to each parking position based on the three-phase optimal power flow model; Using the three-phase contactor of the charging device at each parking position, the charging device is connected to the corresponding optimal phase in the three-phase circuit; Determining the single-phase currents of all parking positions on three phases based on the charging demand loads generated by each of the parking positions includes: Determine the single-phase current of all parking positions on three phases based on the product of the charging demand load generated by each of the parking positions and the decision variables of the three phases; the sum of the decision variables of the three phases is 1, and the value of each decision variable is 0 or 1; Before substituting the single-phase currents on the three phases into the pre-built three-phase optimal power flow model, it also includes: Determine three-phase unbalance based on single-phase currents on three phases; Substituting the single-phase currents on the three phases into a pre-built three-phase optimal power flow model, and solving the optimal phase corresponding to each parking position based on the three-phase optimal power flow model, including: Substituting the single-phase currents on the three phases and the three-phase imbalance into a pre-built three-phase optimal power flow model, wherein the transformer copper loss is determined based on the single-phase currents on the three phases, and the transformer iron loss is determined based on the three-phase imbalance, and the sum of the transformer copper loss and the transformer iron loss is the comprehensive station operation cost caused by the charging load; Taking minimizing the comprehensive operation cost of the station as the goal, solving the three-phase optimal power flow model to obtain the optimal phase corresponding to each parking position; The single-phase current on three phases in the parking position is: ； ； ； in, Represents the single-phase current corresponding to phase A, Represents the single-phase current corresponding to phase B, Represents the single-phase current corresponding to phase C, Indicates the parking location. Indicates the total number of parking locations, represents the decision variable of phase A, represents the decision variable of phase B, represents the decision variable of phase C, Indicates the charging demand load generated by each parking location; The transformer copper loss calculation formula is: ； in, represents a constant quantity, is the current value of each phase, is the resistance value of the winding of each phase, Indicates unit time, Indicates a time period; The transformer iron loss calculation formula is: ； in, is the additional loss parameter caused by three-phase imbalance, is the three-phase imbalance of the transformer at time t.

2. The charging station phase management method according to claim 1, characterized in that: The prediction model is trained based on historical parking data of the charging station; the historical parking data includes: parking positions of electric vehicles entering the charging station in various historical time periods and charging demand loads generated by each parking position of the electric vehicle in various historical time periods.

3. The charging station phase management method according to claim 1, characterized in that: With the goal of minimizing the comprehensive operating cost of the station, the three-phase optimal power flow model is solved to obtain the optimal phase corresponding to each parking position, including: Obtaining preset current thresholds corresponding to three phases; With the goal of minimizing the comprehensive operating cost of the station and the constraint that the single-phase currents on the three phases are less than or equal to the corresponding preset current thresholds, the three-phase optimal power flow model is solved to obtain the optimal phase corresponding to each parking position.

4. A charging station phase management device, characterized in that: The charging station is provided with a charging device, and the charging device is provided with a three-phase contactor, and the three-phase contactor is used to connect the charging device to one phase of a three-phase circuit laid in the charging station; the device includes: A prediction module is used to predict the parking positions corresponding to electric vehicles entering the charging station in the next period and the charging demand load generated by each parking position based on a pre-trained prediction model; A determination module, configured to determine the single-phase currents of all parking positions on three phases based on the charging demand loads generated by each of the parking positions; A solution module, used for substituting the single-phase currents on the three phases into a pre-built three-phase optimal power flow model, and solving the optimal phase corresponding to each parking position based on the three-phase optimal power flow model; A connection module, used to connect the charging device to the corresponding optimal phase in the three-phase circuit by using the three-phase contactor of the charging device at each parking position; Determining the single-phase currents of all parking positions on three phases based on the charging demand loads generated by each of the parking positions includes: Determine the single-phase current of all parking positions on three phases based on the product of the charging demand load generated by each of the parking positions and the decision variables of the three phases; the sum of the decision variables of the three phases is 1, and the value of each decision variable is 0 or 1; Before substituting the single-phase currents on the three phases into the pre-built three-phase optimal power flow model, it also includes: Determine three-phase unbalance based on single-phase currents on three phases; Substituting the single-phase currents on the three phases into a pre-built three-phase optimal power flow model, and solving the optimal phase corresponding to each parking position based on the three-phase optimal power flow model, including: Substituting the single-phase currents on the three phases and the three-phase imbalance into a pre-built three-phase optimal power flow model, wherein the transformer copper loss is determined based on the single-phase currents on the three phases, and the transformer iron loss is determined based on the three-phase imbalance, and the sum of the transformer copper loss and the transformer iron loss is the comprehensive station operation cost caused by the charging load; Taking minimizing the comprehensive operation cost of the station as the goal, solving the three-phase optimal power flow model to obtain the optimal phase corresponding to each parking position; The single-phase current on three phases in the parking position is: ； ； ； in, Represents the single-phase current corresponding to phase A, Represents the single-phase current corresponding to phase B, Represents the single-phase current corresponding to phase C, Indicates the parking location. Indicates the total number of parking locations, represents the decision variable of phase A, represents the decision variable of phase B, represents the decision variable of phase C, Indicates the charging demand load generated by each parking location; The transformer copper loss calculation formula is: ； in, represents a constant quantity, is the current value of each phase, is the resistance value of the winding of each phase, Indicates unit time, Indicates a time period; The transformer iron loss calculation formula is: ； in, is the additional loss parameter caused by three-phase imbalance, is the three-phase imbalance of the transformer at time t.

5. A terminal, characterized in that: include: A memory, a processor, and a charging station phase management program stored in the memory and executable on the processor, wherein the charging station phase management program, when executed by the processor, implements the steps of the charging station phase management method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program can be executed to implement the steps of the charging station phase management method as described in any one of claims 1 to 3.

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