Charging power dynamic balance regulation and control vehicle network interaction method for power distribution network area

Abstract

The invention relates to the technical field of power distribution network area vehicle network interaction, and particularly provides a charging power dynamic balance regulation and control vehicle network interaction method for a power distribution network area. Comprising the following steps: determining a first maximum charging power by an intelligent regulation and control network based on rated power information of a transformer in a transformer area and real-time output power of a civil power network and the intelligent regulation and control network on the transformer in the transformer area; the intelligent regulation and control network carries out charging power dynamic balance regulation and control on the charging network based on the first maximum charging power; the intelligent transformer area network comprises a transformer area transformer, a power distribution network, a civil electricity network, a charging network and an intelligent regulation and control network, and the charging network and the power distribution network form a power distribution transformer area power network. The charging network and the power distribution network of the power network in the power distribution area are transformed, so that the power distribution network has the function of taking power from the charging piles of the charging network. According to the technical scheme provided by the invention, the electricity demand of the civil electricity network can be effectively guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle-grid interaction in a distribution network substation, and in particular to a vehicle-grid interaction method for dynamically balancing and regulating charging power in a distribution network substation. Background Art

[0002] With the popularization of new energy vehicles driven by electricity, the charging network used to charge new energy vehicles has gradually entered the power network of each distribution network substation (hereinafter referred to as the distribution substation power network).

[0003] At present, the charging network is not isolated from the traditional residential power network (hereinafter referred to as the civil power network) in the power distribution station area power network. That is to say, during peak power consumption periods, the civil power network may be restricted by the charging network and suffer from insufficient power supply.

[0004] As the number of new energy vehicles continues to rise, tremendous pressure is exerted on the distribution network. The large-scale charging load is superimposed on the residential electricity load. The electricity consumption of elevators, water supply, water heaters, microwave ovens, refrigerators, washing machines, air conditioners and daily lighting equipment in the distribution area is highly random and concentrated during the period of electricity consumption. It is difficult to carry out active regulation, which will pose a huge challenge to the stability and reliability of the distribution network operation.

[0005] Therefore, there is an urgent need for a method for dynamic balancing and regulating vehicle-grid interaction of charging power in distribution network substations. Summary of the invention

[0006] In order to overcome the above-mentioned defects, the present invention proposes a vehicle-grid interaction method for dynamic balancing control of charging power in a distribution network area.

[0007] In a first aspect, a method for dynamic balancing and regulating vehicle-grid interaction of charging power in a distribution network area is provided, wherein the method for dynamic balancing and regulating vehicle-grid interaction of charging power in a distribution network area comprises:

[0008] The intelligent control network determines the first maximum charging power based on the rated power information of the transformer in the substation area, the real-time output power of the civil power network on the transformer in the substation area, and the intelligent control network;

[0009] The intelligent control network performs dynamic balancing control of charging power on the charging network based on the first maximum charging power;

[0010] Among them, the intelligent substation network includes a substation transformer, a distribution network, a civil power network, a charging network and an intelligent control network. The charging network and the distribution network constitute a distribution substation power network. The charging network and the distribution network of the distribution substation power network are transformed so that the distribution network has the function of drawing power from the charging piles of the charging network.

[0011] Preferably, the substation transformer is connected to the power distribution network, the civil power network, the charging network and the intelligent control network through power lines; the substation transformer is used to receive input power from the power distribution network and supply power to the civil power network, the charging network and the intelligent control network respectively;

[0012] The modified charging network includes the charging circuit breaker, the charging pile and the distribution circuit breaker; each of the charging circuit breaker is connected to the substation transformer through a power line, and is also connected to the plurality of charging piles through a power line; each of the distribution circuit breaker is connected to the plurality of charging piles through a power line, and is also connected to the distribution network through a power line; each of the charging piles is respectively connected to one of the charging circuit breaker and one of the distribution circuit breakers through a power line, and each of the charging piles is not connected to the corresponding charging circuit breaker and the distribution circuit breaker at the same time;

[0013] Each of the charging piles presets a charging pile identification parameter, a maximum available power parameter, a rated power parameter and a vehicle-grid interaction state parameter locally, wherein the maximum available power parameter is less than or equal to the rated power parameter; the charging pile controls its own real-time working power within a power range not exceeding the maximum available power parameter; the vehicle-grid interaction state parameter includes the vehicle charging state and the network access power distribution state;

[0014] The additional intelligent control network is connected to the substation transformer for data communication based on the power carrier communication method, and is connected to each of the charging circuit breakers and each of the distribution circuit breakers for data communication based on the data bus communication method, and is connected to each of the charging piles for data communication based on the wired network communication method or the wireless communication method, and is connected to the external charging pile user client based on the wireless communication method; the data bus communication method includes the RS485 bus communication method and the CAN bus communication method; the wired network communication method includes the wired Ethernet communication method, and the wireless communication method includes the 4G communication method, the 5G communication method, the IOT communication method and the C2X communication method.

[0015] Furthermore, the intelligent control network determines the first maximum charging power based on the rated power information of the substation transformer, the real-time output power of the civil power network on the substation transformer and the intelligent control network, including: collecting data on the rated power information of the substation transformer to generate a corresponding first rated power; and collecting data on the real-time output power of the civil power network and the intelligent control network on the substation transformer to generate a corresponding first civil power and a first network power; and calculating the maximum output power that can be used for charging according to the first rated power, the first civil power and the first network power to generate a corresponding first maximum charging power; the first maximum charging power = first rated power - (first civil power + first network power).

[0016] Furthermore, the intelligent control network dynamically balances and controls the charging power of the charging network based on the first maximum charging power, including:

[0017] Data collection is performed on the maximum available power parameters and the rated power parameters of each charging pile of the charging network to generate the corresponding maximum available power of the first charging pile and the rated power of the first charging pile; and the sum of the maximum available powers of all the first charging piles is calculated to generate the corresponding first power sum; and the sum of the rated powers of all the first charging piles is calculated to generate the corresponding second power sum; the first power sum is less than or equal to the second power sum;

[0018] Identify whether the current time meets the preset peak power consumption period; if so, perform dynamic balancing and regulation during the peak period based on the first maximum charging power and the first power sum; if not, perform dynamic balancing and regulation during the non-peak period based on the first maximum charging power, the first power sum and the second power sum.

[0019] Furthermore, the performing dynamic balancing control during peak hours according to the first maximum charging power and the first power sum includes:

[0020] Whether the first maximum charging power is less than the first power sum is identified through the intelligent control network; if so, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding first ratio; and the product of the first ratio and the maximum available power of each of the first charging piles is used as the corresponding first control power; and based on each of the first control powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; the first ratio is less than 1.

[0021] Furthermore, the performing dynamic balancing control during off-peak hours according to the first maximum charging power, the first power sum, and the second power sum includes:

[0022] identifying the first maximum charging power through the intelligent control network;

[0023] If the first maximum charging power is greater than or equal to the sum of the second powers, setting the maximum available power parameter of each charging pile in the charging network to the corresponding rated power parameter;

[0024] If the first maximum charging power is greater than or equal to the first power sum and less than the second power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding second ratio; and the product of the second ratio and the maximum available power of each of the first charging piles is used as the corresponding second regulation power; and based on each of the second regulation powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; the second ratio is greater than or equal to 1;

[0025] If the first maximum charging power is less than the first power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding third ratio; and the product of the third ratio and the maximum available power of each of the first charging piles is used as the corresponding third control power; and based on each of the third control powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; and the third ratio is less than 1.

[0026] Furthermore, the method comprises:

[0027] The intelligent control network controls the vehicle-grid interaction state of the charging pile based on the charging / power distribution application initiated by the charging pile user.

[0028] Furthermore, the regulating the vehicle-grid interaction state of the charging pile based on the charging / distribution application initiated by the charging pile user includes:

[0029] The charging / power distribution application sent by the charging pile user client received by the intelligent control network is taken as the corresponding first application; and the corresponding first type, first charging pile identifier and first application time are extracted from the first application; and the charging pile whose charging pile identifier parameter in the charging network matches the first charging pile identifier is taken as the corresponding current charging pile; and the first type is identified; if the first type is a charging type, the vehicle-grid interaction state parameter of the current charging pile is set to the vehicle charging state; if the first type is a power distribution type, whether the first application time meets the preset peak power consumption period is identified, and if so, the vehicle-grid interaction state parameter of the current charging pile is set to the network access power distribution state; the first application includes the first type, the first charging pile identifier and the first application time; the first type includes a charging type and a power distribution type.

[0030] Furthermore, the method further comprises:

[0031] Each charging pile uses the set vehicle-grid interaction state parameter as the corresponding current vehicle-grid interaction state each time the vehicle-grid interaction state parameter is set; and when the current vehicle-grid interaction state is the vehicle charging state, the charging pile is connected to the corresponding charging circuit breaker and disconnected from the corresponding distribution circuit breaker; and when the current vehicle-grid interaction state is the network distribution state, the charging pile is connected to the corresponding distribution circuit breaker and disconnected from the corresponding charging circuit breaker.

[0032] In a second aspect, the present invention provides an intelligent control network based on the method for dynamically balancing and controlling vehicle-grid interaction of charging power in the distribution network area, the intelligent control network comprising:

[0033] A determination module, configured to determine a first maximum charging power based on the rated power information of the transformer in the substation area, the real-time output power of the civil power network and the intelligent control network on the transformer in the substation area;

[0034] a control module, configured to perform dynamic balance control of charging power of the charging network based on the first maximum charging power;

[0035] Among them, the intelligent substation network includes a substation transformer, a distribution network, a civil power network, a charging network and an intelligent control network. The charging network and the distribution network constitute a distribution substation power network. The charging network and the distribution network of the distribution substation power network are transformed so that the distribution network has the function of drawing power from the charging piles of the charging network.

[0036] Preferably, the substation transformer is connected to the power distribution network, the civil power network, the charging network and the intelligent control network through power lines; the substation transformer is used to receive input power from the power distribution network and supply power to the civil power network, the charging network and the intelligent control network respectively;

[0037] The charging network before the transformation includes a charging circuit breaker and a charging pile, and the charging network after the transformation includes the charging circuit breaker, the charging pile and a distribution circuit breaker; each of the charging circuit breaker is connected to the substation transformer through a power line, and is also connected to a plurality of the charging piles through a power line; each of the distribution circuit breaker is connected to a plurality of the charging piles through a power line, and is also connected to the distribution network through a power line; each of the charging piles is connected to a charging circuit breaker and a distribution circuit breaker through a power line, and each of the charging piles is not connected to the corresponding charging circuit breaker and the distribution circuit breaker at the same time;

[0038] Each of the charging piles presets a charging pile identification parameter, a maximum available power parameter, a rated power parameter and a vehicle-grid interaction state parameter locally, and the maximum available power parameter is less than or equal to the rated power parameter; during operation, the charging pile always controls its real-time working power within a power range that does not exceed the maximum available power parameter; the vehicle-grid interaction state parameter includes the vehicle charging state and the network access power distribution state;

[0039] The additional intelligent control network is connected to the substation transformer for data communication based on the power carrier communication method, and is connected to each of the charging circuit breakers and each of the distribution circuit breakers for data communication based on the data bus communication method, and is connected to each of the charging piles for data communication based on the wired network communication method or the wireless communication method, and is connected to the external charging pile user client based on the wireless communication method; the data bus communication method includes the RS485 bus communication method and the CAN bus communication method; the wired network communication method includes the wired Ethernet communication method, and the wireless communication method includes the 4G communication method, the 5G communication method, the IOT communication method and the C2X communication method.

[0040] Furthermore, the determination module is specifically used for:

[0041] The rated power information of the transformer in the substation is collected through the intelligent control network to generate a corresponding first rated power; and the real-time output power of the civil power network and the intelligent control network on the transformer in the substation is collected to generate a corresponding first civil power and a first network power; and the maximum output power available for charging is calculated according to the first rated power, the first civil power and the first network power to generate a corresponding first maximum charging power; the first maximum charging power = the first rated power - (the first civil power + the first network power);

[0042] Furthermore, the control module is specifically used for:

[0043] Data collection is performed on the maximum available power parameters and the rated power parameters of each charging pile of the charging network to generate the corresponding maximum available power of the first charging pile and the rated power of the first charging pile; and the sum of the maximum available powers of all the first charging piles is calculated to generate the corresponding first power sum; and the sum of the rated powers of all the first charging piles is calculated to generate the corresponding second power sum; the first power sum is less than or equal to the second power sum;

[0044] Identify whether the current time meets the preset peak power consumption period; if so, perform dynamic balancing and regulation during the peak period based on the first maximum charging power and the first power sum; if not, perform dynamic balancing and regulation during the non-peak period based on the first maximum charging power, the first power sum and the second power sum.

[0045] Furthermore, the performing dynamic balancing control during peak hours according to the first maximum charging power and the first power sum includes:

[0046] Whether the first maximum charging power is less than the first power sum is identified through the intelligent control network; if so, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding first ratio; and the product of the first ratio and the maximum available power of each of the first charging piles is used as the corresponding first control power; and based on each of the first control powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; the first ratio is less than 1.

[0047] Furthermore, the performing dynamic balancing control during off-peak hours according to the first maximum charging power, the first power sum, and the second power sum includes:

[0048] identifying the first maximum charging power through the intelligent control network;

[0049] If the first maximum charging power is greater than or equal to the sum of the second powers, setting the maximum available power parameter of each charging pile in the charging network to the corresponding rated power parameter;

[0050] If the first maximum charging power is greater than or equal to the first power sum and less than the second power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding second ratio; and the product of the second ratio and the maximum available power of each of the first charging piles is used as the corresponding second regulation power; and based on each of the second regulation powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; the second ratio is greater than or equal to 1;

[0051] If the first maximum charging power is less than the first power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding third ratio; and the product of the third ratio and the maximum available power of each of the first charging piles is used as the corresponding third control power; and based on each of the third control powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; and the third ratio is less than 1.

[0052] Furthermore, the intelligent control network also includes: an interconnection control module, which is used to control the vehicle-grid interaction state of the charging pile based on the charging / distribution application initiated by the charging pile user.

[0053] Furthermore, the interconnection control module is specifically used for:

[0054] The charging / power distribution application sent by the charging pile user client received by the intelligent control network is taken as the corresponding first application; and the corresponding first type, first charging pile identifier and first application time are extracted from the first application; and the charging pile whose charging pile identifier parameter in the charging network matches the first charging pile identifier is taken as the corresponding current charging pile; and the first type is identified; if the first type is a charging type, the vehicle-grid interaction state parameter of the current charging pile is set to the vehicle charging state; if the first type is a power distribution type, whether the first application time meets the preset peak power consumption period is identified, and if so, the vehicle-grid interaction state parameter of the current charging pile is set to the network access power distribution state; the first application includes the first type, the first charging pile identifier and the first application time; the first type includes a charging type and a power distribution type.

[0055] Furthermore, the intelligent control network also includes:

[0056] The control module is used for each charging pile to use the set vehicle-grid interaction state parameter as the corresponding current vehicle-grid interaction state each time the vehicle-grid interaction state parameter is set; and when the current vehicle-grid interaction state is the vehicle charging state, it is connected with the corresponding charging circuit breaker and disconnected with the corresponding distribution circuit breaker; and when the current vehicle-grid interaction state is the network distribution state, it is connected with the corresponding distribution circuit breaker and disconnected with the corresponding charging circuit breaker.

[0057] In a third aspect, a computer device is provided, comprising: one or more processors;

[0058] The processor is used to store one or more programs;

[0059] When the one or more programs are executed by the one or more processors, the vehicle-grid interaction method for dynamic balancing and regulating charging power in the distribution network area is implemented.

[0060] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the method for dynamic balancing and regulating the vehicle-grid interaction of the charging power in the distribution network area is implemented.

[0061] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0062] The present invention relates to the technical field of vehicle-grid interaction in a distribution network substation, and specifically provides a method for vehicle-grid interaction by dynamic balancing control of charging power in a distribution network substation, comprising: determining a first maximum charging power by an intelligent control network based on rated power information of an substation transformer, the real-time output power of the civil power network on the substation transformer and the intelligent control network; and dynamically balancing control of the charging power of the charging network by the intelligent control network based on the first maximum charging power; wherein the intelligent substation network comprises an substation transformer, a distribution network, a civil power network, a charging network and an intelligent control network, the charging network and the distribution network constitute a distribution substation power network, and the charging network and the distribution network of the distribution substation power network are modified so that the distribution network has the function of drawing power from the charging piles of the charging network. The technical solution provided by the present invention uses an intelligent control network to perform real-time dynamic monitoring of the rated power information of the transformer in the substation area, the real-time output power of the civil power network on the transformer in the substation area, and the intelligent control network, and formulates a control strategy after dynamic balance control analysis of the charging power based on the rated power information of the transformer in the substation area, the real-time output power of the civil power network on the transformer in the substation area, and the intelligent control network, and performs real-time dynamic control of the charging load. The dynamic balance control of the charging power in the distribution network substation area and the interaction between the vehicle and the network are realized, which can effectively guarantee the power demand of the civil power network. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a flow chart of the main steps of the method for dynamic balancing and controlling the charging power in the distribution network area according to an embodiment of the present invention;

[0064] Figure 2 It is a flowchart of specific steps of the method for dynamic balancing and controlling the charging power in the distribution network area according to an embodiment of the present invention;

[0065] Figure 3 This is a schematic diagram of the intelligent substation network according to an embodiment of the present invention.

[0066] Figure 4 It is a main structural block diagram of the intelligent control network of an embodiment of the present invention. DETAILED DESCRIPTION

[0067] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0068] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] As disclosed in the background art, with the popularization of new energy vehicles driven by electricity, charging networks for charging new energy vehicles have gradually entered the power network of each distribution network substation (hereinafter referred to as the distribution substation power network).

[0070] At present, the charging network is not isolated from the traditional residential power network (hereinafter referred to as the civil power network) in the power distribution station area power network. That is to say, during peak power consumption periods, the civil power network may be restricted by the charging network and suffer from insufficient power supply.

[0071] As the number of new energy vehicles continues to rise, tremendous pressure is exerted on the distribution network. The large-scale charging load is superimposed on the residential electricity load. The electricity consumption of elevators, water supply, water heaters, microwave ovens, refrigerators, washing machines, air conditioners and daily lighting equipment in the distribution area is highly random and concentrated during the period of electricity consumption. It is difficult to carry out active regulation, which will pose a huge challenge to the stability and reliability of the distribution network operation.

[0072] Therefore, there is an urgent need for a method for dynamic balancing and regulating vehicle-grid interaction of charging power in distribution network substations.

[0073] In order to improve the above-mentioned problems, the present invention relates to the field of vehicle-grid interaction technology in a distribution network substation, and specifically provides a method for vehicle-grid interaction by dynamic balancing control of charging power in a distribution network substation, including: an intelligent control network determines a first maximum charging power based on the rated power information of the substation transformer, the real-time output power of the civil power network on the substation transformer and the intelligent control network; the intelligent control network performs dynamic balancing control of the charging power of the charging network based on the first maximum charging power; wherein the intelligent substation network includes an substation transformer, a distribution network, a civil power network, a charging network and an intelligent control network, the charging network and the distribution network constitute a distribution substation power network, and the charging network and the distribution network of the distribution substation power network are modified so that the distribution network has the function of drawing power from the charging piles of the charging network. The technical solution provided by the present invention uses an intelligent control network to perform real-time dynamic monitoring of the rated power information of the transformer in the substation area, the real-time output power of the civil power network on the transformer in the substation area, and the intelligent control network, and formulates a control strategy after dynamic balance control analysis of the charging power based on the rated power information of the transformer in the substation area, the real-time output power of the civil power network on the transformer in the substation area, and the intelligent control network, and performs real-time dynamic control of the charging load. The dynamic balance control of the charging power in the distribution network substation area and the interaction between the vehicle and the network are realized, which can effectively guarantee the power demand of the civil power network.

[0074] The above scheme is described in detail below.

[0075] Example 1

[0076] See attached Figure 1 , Figure 1 The following is a flow chart of the main steps of the method for dynamic balancing and controlling the charging power in the distribution network area according to an embodiment of the present invention. Figure 1 As shown, the method for dynamic balancing and controlling the charging power of the distribution network area in the embodiment of the present invention mainly includes the following steps:

[0077] S101, the intelligent control network determines a first maximum charging power based on rated power information of the transformer in the area, the real-time output power of the civil power network on the transformer in the area, and the intelligent control network;

[0078] S101, the intelligent control network performs dynamic balancing control of charging power on the charging network based on the first maximum charging power;

[0079] Among them, the intelligent substation network includes a substation transformer, a distribution network, a civil power network, a charging network and an intelligent control network. The charging network and the distribution network constitute a distribution substation power network. The charging network and the distribution network of the distribution substation power network are transformed so that the distribution network has the function of drawing power from the charging piles of the charging network.

[0080] Specifically, the specific implementation process of the vehicle-grid interaction method for dynamic balancing control of charging power in the distribution network area in the embodiment of the present invention is as follows: Figure 2 As shown, it mainly includes the following steps:

[0081] Step 1: Reconstruct the charging network and distribution network of the power network in the distribution area so that the distribution network can also draw power from the charging piles of the charging network; and add an intelligent control network to the power network in the distribution area; and use the power network in the distribution area that has completed the transformation of the charging and distribution network and the addition of the intelligent control network as the corresponding intelligent area network;

[0082] Among them, the power network of the distribution area is the power network of the distribution network area; the intelligent area network includes the area transformer, distribution network, civil power network, charging network and intelligent control network; the area transformer is connected to the distribution network, civil power network, charging network and intelligent control network through power lines; the area transformer is used to receive input power from the distribution network and supply power to the civil power network, charging network and intelligent control network respectively;

[0083] Specifically, it includes: step 11, transforming the charging network and the distribution network of the power network in the distribution area so that the distribution network can also draw power from the charging piles of the charging network;

[0084] In one embodiment, the charging network and the distribution network of the power distribution network in the distribution area are modified as follows: Figure 2 This is a schematic diagram of a smart substation network provided in Embodiment 1 of the present invention;

[0085] It should be noted that the charging network before the transformation includes charging circuit breakers and charging piles, and the charging network after the transformation includes charging circuit breakers, charging piles and distribution circuit breakers; in the charging network after the transformation: each charging circuit breaker is connected to the substation transformer through a power line, and is also connected to multiple charging piles through power lines; each distribution circuit breaker is connected to multiple charging piles through power lines, and is also connected to the distribution network through power lines; each charging pile is connected to a charging circuit breaker and a distribution circuit breaker through power lines, but each charging pile will not be connected to the corresponding charging circuit breaker and distribution circuit breaker at the same time;

[0086] It should also be noted that each charging pile in the embodiment of the present invention has three parameters preset locally: a charging pile identification parameter, a maximum available power parameter, a rated power parameter, and a vehicle-grid interaction state parameter; wherein the maximum available power parameter is less than or equal to the rated power parameter; the vehicle-grid interaction state parameter includes a vehicle charging state and a network access distribution state. When the vehicle-grid interaction state parameter is a vehicle charging state, it indicates that the current charging pile is charging the connected new energy vehicle by taking power from the distribution network through a charging circuit breaker and an area transformer when working, and when the vehicle-grid interaction state parameter is a network access distribution state, it indicates that the current charging pile is taking power from the connected new energy vehicle and replenishing power to the distribution network through a distribution circuit breaker when working; during the working process, each charging pile in the charging network of the embodiment of the present invention will always control its real-time working power within a power range not exceeding the maximum available power parameter;

[0087] Step 12, add an intelligent control network to the power network of the distribution station area;

[0088] In one embodiment, the intelligent control network is Figure 3 As shown in the additional part;

[0089] It should be noted that the power distribution network added in the embodiment of the present invention is connected to the transformer of the distribution area for data communication based on the power carrier communication mode, and is connected to each charging circuit breaker and each distribution circuit breaker for data communication based on the data bus communication mode, and is connected to each charging pile for data communication based on the wired network communication mode or the wireless communication mode, and is connected to the external charging pile user client based on the wireless communication mode; wherein, the data bus communication mode includes the RS485 bus communication mode and the CAN bus communication mode; the wired network communication mode includes the wired Ethernet communication mode, and the wireless communication mode includes the 4G communication mode, the 5G communication mode, the IOT communication mode and the C2X communication mode; the charging pile user client is the client used by the charging pile user, and the charging pile user client can be an APP client or a WEB client, and can also be any other system, device, server, platform, micro-processing server or cloud server that can initiate similar charging / distribution applications;

[0090] Step 13, the power distribution network in the distribution area that has completed the transformation of the charging and distribution network and the addition of the intelligent control network will be used as the corresponding intelligent area network.

[0091] Step 2: The intelligent control network dynamically balances the charging power of the charging network according to the collected data of the transformer and the charging network;

[0092] Specifically comprising: step 21, the intelligent control network collects data on the rated power information of the transformer in the substation to generate a corresponding first rated power; and collects data on the real-time output power of the civil power network and the intelligent control network on the transformer in the substation to generate a corresponding first civil power and a first network power; and calculates the maximum output power that can be used for charging according to the first rated power, the first civil power and the first network power to generate a corresponding first maximum charging power;

[0093] Wherein, the first maximum charging power = the first rated power - (the first civilian power + the first network power);

[0094] Step 22, collect data on the maximum available power parameters and rated power parameters of each charging pile of the charging network to generate the corresponding maximum available power of the first charging pile and the rated power of the first charging pile; and calculate the sum of the maximum available powers of all first charging piles to generate the corresponding first power sum; and calculate the sum of the rated powers of all first charging piles to generate the corresponding second power sum;

[0095] wherein the first power sum is less than or equal to the second power sum;

[0096] Step 23, and identify whether the current time meets the preset peak power consumption period; if so, perform dynamic balance control during the peak period according to the first maximum charging power and the first power sum; if not, perform dynamic balance control during the non-peak period according to the first maximum charging power, the first power sum and the second power sum;

[0097] Specifically, it includes: step 231, identifying whether the current time meets the preset peak power consumption period; if it does, go to step 232; if it does not, go to step 233;

[0098] The peak electricity consumption period includes one or more time periods;

[0099] Step 232, performing dynamic balance control during peak hours according to the first maximum charging power and the first power sum; and going to step 3;

[0100] Specifically, it includes: identifying whether the first maximum charging power is less than the first power sum; if so, calculating the ratio of the first maximum charging power to the first power sum to generate a corresponding first ratio; and taking the product of the first ratio and the maximum available power of each first charging pile as the corresponding first regulation power; and resetting the maximum available power parameter of the corresponding charging pile in the charging network based on each first regulation power;

[0101] wherein the first ratio is less than 1;

[0102] In one embodiment, when the first maximum charging power is greater than or equal to the first power sum, it indicates that the real-time available power of the current intelligent substation network exceeds the current maximum available total power of the charging network. Under normal circumstances, the current maximum available total power of the charging network can be increased. However, because it is at a peak power consumption period, the power consumption capacity of the charging network needs to be suppressed. Therefore, when the first maximum charging power is greater than or equal to the first power sum, the embodiment of the present invention abandons the upward control of the charging network, that is, does not perform any regulation on the charging network.

[0103] On the contrary, when the first maximum charging power is less than the first power sum, it means that the real-time available power of the current intelligent substation network is lower than the current maximum available total power of the charging network, that is, the current maximum available total power of the charging network is too high; in this case, the possibility of power restriction of the charging network to the civil power network in the future will increase; to prevent this from happening, the embodiment of the present invention needs to reduce the maximum available total power of the charging network in advance, that is, to achieve the purpose of overall reduction of the maximum available total power of the charging network by reducing the maximum available power parameters of each charging pile; when the maximum available power parameters of each charging pile are reduced, the current maximum available power parameters are reduced by a ratio less than 1 (first ratio), the new maximum available power parameter = the old maximum available power parameter * the first ratio, the first ratio = (first maximum charging power / first power sum) * 100%;

[0104] Step 233, performing dynamic balancing control during off-peak hours according to the first maximum charging power, the first power sum, and the second power sum;

[0105] Specifically, it includes: step 2331, identifying the first maximum charging power;

[0106] Step 2332: If the first maximum charging power is greater than or equal to the sum of the second powers, the maximum available power parameter of each charging pile in the charging network is set to the corresponding rated power parameter;

[0107] In one embodiment, when the first maximum charging power is greater than or equal to the sum of the second powers, it indicates that the real-time available power of the current intelligent area network exceeds the current rated total power of the charging network, and it is not a peak power consumption period at this time, and the power consumption state of the civil power network is unlikely to increase instantly. At this time, in order to improve the charging efficiency of the charging network, the embodiment of the present invention will perform full configuration control on the charging network, that is, the maximum available power parameter of each charging pile in the charging network is set to the corresponding rated power parameter;

[0108] Step 2333: If the first maximum charging power is greater than or equal to the first power sum and less than the second power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding second ratio; and the product of the second ratio and the maximum available power of each first charging pile is used as the corresponding second regulation power; and the maximum available power parameter of the corresponding charging pile in the charging network is reset based on each second regulation power;

[0109] wherein the second ratio is greater than or equal to 1;

[0110] In one embodiment, when the first maximum charging power is greater than or equal to the first power sum and less than the second power sum, it means that the real-time available power of the current intelligent substation network exceeds the current maximum available total power of the charging network but is less than the rated total power, and this is not the peak power consumption period, and the power consumption state of the civil power network is also difficult to increase instantly. At this time, the embodiment of the present invention will increase the charging network to improve the charging efficiency of the charging network; that is, the maximum available total power of the charging network is adjusted as a whole by adjusting the maximum available power parameters of each charging pile; when the maximum available power parameters of each charging pile are adjusted upward, the current maximum available power parameter is adjusted upward by a ratio greater than or equal to less than 1 (second ratio), and the new maximum available power parameter = the old maximum available power parameter * the second ratio, and the second ratio = (first maximum charging power / first power sum) * 100%;

[0111] Step 2334: if the first maximum charging power is less than the first power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding third ratio; and the product of the third ratio and the maximum available power of each first charging pile is used as the corresponding third regulation power; and the maximum available power parameter of the corresponding charging pile in the charging network is reset based on each third regulation power;

[0112] Among them, the third ratio is less than 1.

[0113] In one embodiment, when the first maximum charging power is less than the first power sum, it means that the real-time available power of the current intelligent substation network is lower than the current maximum available total power of the charging network; although it is not a peak power consumption period and the power consumption of the civil power network is unlikely to increase instantly, it is also possible that the usage of the charging network increases due to the increase in the number of charging vehicles and the overall available power of the intelligent substation network decreases. In this case, the charging network may also affect the normal power consumption of the civil power network in the future; to prevent this from happening, the embodiment of the present invention needs to lower the maximum available total power of the charging network in advance, that is, by lowering the maximum available power parameters of each charging pile to achieve the purpose of overall lowering the maximum available total power of the charging network; when the maximum available power parameters of each charging pile are lowered, the current maximum available power parameters are lowered by a ratio less than 1 (third ratio), the new maximum available power parameter = the old maximum available power parameter * the third ratio, the third ratio = (first maximum charging power / first power sum) * 100%.

[0114] Step 3, the intelligent control network controls the vehicle-grid interaction state of the charging pile based on the charging / distribution application initiated by the charging pile user;

[0115] In one embodiment, the intelligent control network of the embodiment of the present invention can realize the operation of supplementing the power distribution network with power from new energy vehicles by switching the vehicle-grid interaction state of the charging pile during the peak power consumption period;

[0116] Specifically, it includes: step 31, receiving a charging / distribution application sent by a charging pile user client as a corresponding first application; and extracting a corresponding first type, a first charging pile identifier and a first application time from the first application;

[0117] The first application includes the first type, the first charging pile identifier and the first application time; the first type includes the charging type and the power distribution type;

[0118] In one embodiment, it should be noted that the charging pile user client mentioned in the embodiment of the present invention provides a service interface for processing charging / distribution applications to the charging customer; after the charging customer enters and submits the charging pile identifier, i.e., the first charging pile identifier, and the charging / distribution application type, i.e., the first type, on the service interface, the charging pile user client records the current submission time as the corresponding first application time, and sends the charging / distribution application, i.e., the first application, carrying the first type, the first charging pile identifier, and the first application time to the intelligent control network;

[0119] Step 32, and taking the charging pile whose charging pile identification parameter in the charging network matches the first charging pile identification as the corresponding current charging pile;

[0120] Step 33, and identify the first type; if the first type is the charging type, set the vehicle-grid interaction state parameter of the current charging pile to the vehicle charging state; if the first type is the power distribution type, identify whether the first application time meets the preset peak power consumption period, and if so, set the vehicle-grid interaction state parameter of the current charging pile to the network access power distribution state.

[0121] It should be noted that the charging pile of the embodiment of the present invention will monitor the update status of the vehicle-grid interaction state parameters and perform circuit breaker operations related to the vehicle-grid interaction according to the vehicle-grid interaction state parameters set each time. This processing process is specifically as follows: each time the charging pile sets the vehicle-grid interaction state parameters, the set vehicle-grid interaction state parameters are used as the corresponding current vehicle-grid interaction state; and when the current vehicle-grid interaction state is the vehicle charging state, it is connected to the corresponding charging circuit breaker and disconnected from the corresponding distribution circuit breaker; and when the current vehicle-grid interaction state is the network distribution state, it is connected to the corresponding distribution circuit breaker and disconnected from the corresponding charging circuit breaker.

[0122] Example 2

[0123] Based on the same inventive concept, the present invention also provides an intelligent control network based on the charging power dynamic balance control vehicle-grid interaction method of the distribution network station area, such as Figure 4 As shown, the intelligent control network includes:

[0124] A determination module, configured to determine a first maximum charging power based on the rated power information of the transformer in the substation area, the real-time output power of the civil power network and the intelligent control network on the transformer in the substation area;

[0125] a control module, configured to perform dynamic balance control of charging power of the charging network based on the first maximum charging power;

[0126] Among them, the intelligent substation network includes a substation transformer, a distribution network, a civil power network, a charging network and an intelligent control network. The charging network and the distribution network constitute a distribution substation power network. The charging network and the distribution network of the distribution substation power network are transformed so that the distribution network has the function of drawing power from the charging piles of the charging network.

[0127] Preferably, the substation transformer is connected to the power distribution network, the civil power network, the charging network and the intelligent control network through power lines; the substation transformer is used to receive input power from the power distribution network and supply power to the civil power network, the charging network and the intelligent control network respectively;

[0128] The charging network before the transformation includes a charging circuit breaker and a charging pile, and the charging network after the transformation includes the charging circuit breaker, the charging pile and a distribution circuit breaker; each of the charging circuit breaker is connected to the substation transformer through a power line, and is also connected to a plurality of the charging piles through a power line; each of the distribution circuit breaker is connected to a plurality of the charging piles through a power line, and is also connected to the distribution network through a power line; each of the charging piles is connected to a charging circuit breaker and a distribution circuit breaker through a power line, and each of the charging piles is not connected to the corresponding charging circuit breaker and the distribution circuit breaker at the same time;

[0129] Each of the charging piles presets a charging pile identification parameter, a maximum available power parameter, a rated power parameter and a vehicle-grid interaction state parameter locally, and the maximum available power parameter is less than or equal to the rated power parameter; during operation, the charging pile always controls its real-time working power within a power range that does not exceed the maximum available power parameter; the vehicle-grid interaction state parameter includes the vehicle charging state and the network access power distribution state;

[0130] The additional intelligent control network is connected to the substation transformer for data communication based on the power carrier communication method, and is connected to each of the charging circuit breakers and each of the distribution circuit breakers for data communication based on the data bus communication method, and is connected to each of the charging piles for data communication based on the wired network communication method or the wireless communication method, and is connected to the external charging pile user client based on the wireless communication method; the data bus communication method includes the RS485 bus communication method and the CAN bus communication method; the wired network communication method includes the wired Ethernet communication method, and the wireless communication method includes the 4G communication method, the 5G communication method, the IOT communication method and the C2X communication method.

[0131] Furthermore, the determination module is specifically used for:

[0132] The rated power information of the transformer in the substation is collected through the intelligent control network to generate a corresponding first rated power; and the real-time output power of the civil power network and the intelligent control network on the transformer in the substation is collected to generate a corresponding first civil power and a first network power; and the maximum output power available for charging is calculated according to the first rated power, the first civil power and the first network power to generate a corresponding first maximum charging power; the first maximum charging power = the first rated power - (the first civil power + the first network power);

[0133] Furthermore, the control module is specifically used for:

[0134] Data collection is performed on the maximum available power parameters and the rated power parameters of each charging pile of the charging network to generate the corresponding maximum available power of the first charging pile and the rated power of the first charging pile; and the sum of the maximum available powers of all the first charging piles is calculated to generate the corresponding first power sum; and the sum of the rated powers of all the first charging piles is calculated to generate the corresponding second power sum; the first power sum is less than or equal to the second power sum;

[0135] Identify whether the current time meets the preset peak power consumption period; if so, perform dynamic balancing and regulation during the peak period based on the first maximum charging power and the first power sum; if not, perform dynamic balancing and regulation during the non-peak period based on the first maximum charging power, the first power sum and the second power sum.

[0136] Furthermore, the performing dynamic balancing control during peak hours according to the first maximum charging power and the first power sum includes:

[0137] Whether the first maximum charging power is less than the first power sum is identified through the intelligent control network; if so, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding first ratio; and the product of the first ratio and the maximum available power of each of the first charging piles is used as the corresponding first control power; and based on each of the first control powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; the first ratio is less than 1.

[0138] Furthermore, the performing dynamic balancing control during off-peak hours according to the first maximum charging power, the first power sum, and the second power sum includes:

[0139] identifying the first maximum charging power through the intelligent control network;

[0140] If the first maximum charging power is greater than or equal to the sum of the second powers, setting the maximum available power parameter of each charging pile in the charging network to the corresponding rated power parameter;

[0141] If the first maximum charging power is greater than or equal to the first power sum and less than the second power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding second ratio; and the product of the second ratio and the maximum available power of each of the first charging piles is used as the corresponding second regulation power; and based on each of the second regulation powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; the second ratio is greater than or equal to 1;

[0142] If the first maximum charging power is less than the first power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding third ratio; and the product of the third ratio and the maximum available power of each of the first charging piles is used as the corresponding third control power; and based on each of the third control powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; and the third ratio is less than 1.

[0143] Furthermore, the intelligent control network also includes: an interconnection control module, which is used to control the vehicle-grid interaction state of the charging pile based on the charging / distribution application initiated by the charging pile user.

[0144] Furthermore, the interconnection control module is specifically used for:

[0145] The charging / power distribution application sent by the charging pile user client received by the intelligent control network is taken as the corresponding first application; and the corresponding first type, first charging pile identifier and first application time are extracted from the first application; and the charging pile whose charging pile identifier parameter in the charging network matches the first charging pile identifier is taken as the corresponding current charging pile; and the first type is identified; if the first type is a charging type, the vehicle-grid interaction state parameter of the current charging pile is set to the vehicle charging state; if the first type is a power distribution type, whether the first application time meets the preset peak power consumption period is identified, and if so, the vehicle-grid interaction state parameter of the current charging pile is set to the network access power distribution state; the first application includes the first type, the first charging pile identifier and the first application time; the first type includes a charging type and a power distribution type.

[0146] Furthermore, the intelligent control network also includes:

[0147] The control module is used for each charging pile to use the set vehicle-grid interaction state parameter as the corresponding current vehicle-grid interaction state each time the vehicle-grid interaction state parameter is set; and when the current vehicle-grid interaction state is the vehicle charging state, it is connected with the corresponding charging circuit breaker and disconnected with the corresponding distribution circuit breaker; and when the current vehicle-grid interaction state is the network distribution state, it is connected with the corresponding distribution circuit breaker and disconnected with the corresponding charging circuit breaker.

[0148] Example 3

[0149] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of the vehicle-grid interaction method for dynamic balancing control of charging power in a distribution network area in the above embodiment.

[0150] Example 4

[0151] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It can be understood that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of a method for dynamic balancing and controlling the interaction between charging power and vehicle networks in a distribution network area in the above embodiment.

[0152] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0153] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0154] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0155] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0156] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for dynamic balancing and controlling vehicle-grid interaction of charging power in a distribution network area, characterized in that: The method comprises: The intelligent control network determines the first maximum charging power based on the rated power information of the transformer in the substation area, the real-time output power of the civil power network on the transformer in the substation area, and the intelligent control network; The intelligent control network performs dynamic balancing control of charging power on the charging network based on the first maximum charging power; Among them, the intelligent substation network includes a substation transformer, a distribution network, a civil power network, a charging network and an intelligent control network. The charging network and the distribution network constitute a distribution substation power network. The charging network and the distribution network of the distribution substation power network are transformed so that the distribution network has the function of drawing power from the charging piles of the charging network.

2. The method for dynamic balancing and controlling vehicle-grid interaction of charging power in a distribution network area according to claim 1, characterized in that: The substation transformer is connected to the power distribution network, the civil power network, the charging network and the intelligent control network through power lines; the substation transformer is used to receive input power from the power distribution network and supply power to the civil power network, the charging network and the intelligent control network respectively; The modified charging network includes the charging circuit breaker, the charging pile and the distribution circuit breaker; each of the charging circuit breaker is connected to the substation transformer through a power line, and is also connected to the plurality of charging piles through a power line; each of the distribution circuit breaker is connected to the plurality of charging piles through a power line, and is also connected to the distribution network through a power line; each of the charging piles is respectively connected to one of the charging circuit breaker and one of the distribution circuit breakers through a power line, and each of the charging piles is not connected to the corresponding charging circuit breaker and the distribution circuit breaker at the same time; Each of the charging piles presets a charging pile identification parameter, a maximum available power parameter, a rated power parameter and a vehicle-grid interaction state parameter locally, wherein the maximum available power parameter is less than or equal to the rated power parameter; the charging pile controls its own real-time working power within a power range not exceeding the maximum available power parameter; the vehicle-grid interaction state parameter includes the vehicle charging state and the network access power distribution state; The additional intelligent control network is connected to the substation transformer for data communication based on the power carrier communication method, and is connected to each of the charging circuit breakers and each of the distribution circuit breakers for data communication based on the data bus communication method, and is connected to each of the charging piles for data communication based on the wired network communication method or the wireless communication method, and is connected to the external charging pile user client based on the wireless communication method; the data bus communication method includes the RS485 bus communication method and the CAN bus communication method; the wired network communication method includes the wired Ethernet communication method, and the wireless communication method includes the 4G communication method, the 5G communication method, the IOT communication method and the C2X communication method.

3. The method for dynamic balancing and controlling vehicle-grid interaction of charging power in a distribution network area according to claim 2, characterized in that: The intelligent control network determines the first maximum charging power based on the rated power information of the substation transformer, the real-time output power of the civil power network on the substation transformer and the intelligent control network, including: collecting data on the rated power information of the substation transformer to generate a corresponding first rated power; and collecting data on the real-time output power of the civil power network and the intelligent control network on the substation transformer to generate a corresponding first civil power and a first network power; and calculating the maximum output power that can be used for charging according to the first rated power, the first civil power and the first network power to generate a corresponding first maximum charging power; the first maximum charging power = first rated power - (first civil power + first network power).

4. The method for dynamic balancing and controlling vehicle-grid interaction of charging power in a distribution network area according to claim 3, characterized in that: The intelligent control network dynamically balances and controls the charging power of the charging network based on the first maximum charging power, including: Data collection is performed on the maximum available power parameters and the rated power parameters of each charging pile of the charging network to generate the corresponding maximum available power of the first charging pile and the rated power of the first charging pile; and the sum of the maximum available powers of all the first charging piles is calculated to generate the corresponding first power sum; and the sum of the rated powers of all the first charging piles is calculated to generate the corresponding second power sum; the first power sum is less than or equal to the second power sum; Identify whether the current time meets the preset peak power consumption period; if so, perform dynamic balancing and regulation during the peak period based on the first maximum charging power and the first power sum; if not, perform dynamic balancing and regulation during the non-peak period based on the first maximum charging power, the first power sum and the second power sum.

5. The method for dynamic balancing and controlling vehicle-grid interaction of charging power in a distribution network area according to claim 4, characterized in that: The performing dynamic balancing control during peak hours according to the first maximum charging power and the first power sum includes: Whether the first maximum charging power is less than the first power sum is identified through the intelligent control network; if so, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding first ratio; and the product of the first ratio and the maximum available power of each of the first charging piles is used as the corresponding first control power; and based on each of the first control powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; the first ratio is less than 1.

6. The method for dynamic balancing and controlling vehicle-grid interaction of charging power in a distribution network area according to claim 4, characterized in that: The performing dynamic balancing control during non-peak hours according to the first maximum charging power, the first power sum, and the second power sum includes: identifying the first maximum charging power through the intelligent control network; If the first maximum charging power is greater than or equal to the sum of the second powers, setting the maximum available power parameter of each charging pile in the charging network to the corresponding rated power parameter; If the first maximum charging power is greater than or equal to the first power sum and less than the second power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding second ratio; and the product of the second ratio and the maximum available power of each of the first charging piles is used as the corresponding second regulation power; and based on each of the second regulation powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; the second ratio is greater than or equal to 1; If the first maximum charging power is less than the first power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding third ratio; and the product of the third ratio and the maximum available power of each of the first charging piles is used as the corresponding third control power; and based on each of the third control powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; and the third ratio is less than 1.

7. The method for dynamic balancing and controlling vehicle-grid interaction of charging power in a distribution network area according to claim 2, characterized in that: The method comprises: The intelligent control network controls the vehicle-grid interaction state of the charging pile based on the charging / power distribution application initiated by the charging pile user.

8. The method for dynamic balancing and controlling vehicle-grid interaction of charging power in a distribution network area according to claim 7, characterized in that: The regulating the vehicle-grid interaction state of the charging pile based on the charging / power distribution application initiated by the charging pile user includes: The charging / power distribution application sent by the charging pile user client received by the intelligent control network is taken as the corresponding first application; and the corresponding first type, first charging pile identifier and first application time are extracted from the first application; and the charging pile whose charging pile identifier parameter in the charging network matches the first charging pile identifier is taken as the corresponding current charging pile; and the first type is identified; if the first type is a charging type, the vehicle-grid interaction state parameter of the current charging pile is set to the vehicle charging state; if the first type is a power distribution type, whether the first application time meets the preset peak power consumption period is identified, and if so, the vehicle-grid interaction state parameter of the current charging pile is set to the network access power distribution state; the first application includes the first type, the first charging pile identifier and the first application time; the first type includes a charging type and a power distribution type.

9. The method for dynamic balancing and controlling vehicle-grid interaction of charging power in a distribution network area according to claim 8, characterized in that: The method further comprises: Each charging pile uses the set vehicle-grid interaction state parameter as the corresponding current vehicle-grid interaction state each time the vehicle-grid interaction state parameter is set; and when the current vehicle-grid interaction state is the vehicle charging state, the charging pile is connected to the corresponding charging circuit breaker and disconnected from the corresponding distribution circuit breaker; and when the current vehicle-grid interaction state is the network distribution state, the charging pile is connected to the corresponding distribution circuit breaker and disconnected from the corresponding charging circuit breaker.

10. An intelligent control network based on the method for dynamic balancing and controlling vehicle-grid interaction of charging power in a distribution network area according to any one of claims 1 to 9, characterized in that: The intelligent control network includes: A determination module, configured to determine a first maximum charging power based on the rated power information of the transformer in the substation area, the real-time output power of the civil power network and the intelligent control network on the transformer in the substation area; a control module, configured to perform dynamic balance control of charging power of the charging network based on the first maximum charging power; Among them, the intelligent substation network includes a substation transformer, a distribution network, a civil power network, a charging network and an intelligent control network. The charging network and the distribution network constitute a distribution substation power network. The charging network and the distribution network of the distribution substation power network are transformed so that the distribution network has the function of drawing power from the charging piles of the charging network.

11. The intelligent control network according to claim 10, characterized in that: The substation transformer is connected to the power distribution network, the civil power network, the charging network and the intelligent control network through power lines; the substation transformer is used to receive input power from the power distribution network and supply power to the civil power network, the charging network and the intelligent control network respectively; The charging network before the transformation includes a charging circuit breaker and a charging pile, and the charging network after the transformation includes the charging circuit breaker, the charging pile and a distribution circuit breaker; each of the charging circuit breaker is connected to the substation transformer through a power line, and is also connected to a plurality of the charging piles through a power line; each of the distribution circuit breaker is connected to a plurality of the charging piles through a power line, and is also connected to the distribution network through a power line; each of the charging piles is connected to a charging circuit breaker and a distribution circuit breaker through a power line, and each of the charging piles is not connected to the corresponding charging circuit breaker and the distribution circuit breaker at the same time; Each of the charging piles presets a charging pile identification parameter, a maximum available power parameter, a rated power parameter and a vehicle-grid interaction state parameter locally, and the maximum available power parameter is less than or equal to the rated power parameter; during operation, the charging pile always controls its real-time working power within a power range that does not exceed the maximum available power parameter; the vehicle-grid interaction state parameter includes the vehicle charging state and the network access power distribution state; The additional intelligent control network is connected to the substation transformer for data communication based on the power carrier communication method, and is connected to each of the charging circuit breakers and each of the distribution circuit breakers for data communication based on the data bus communication method, and is connected to each of the charging piles for data communication based on the wired network communication method or the wireless communication method, and is connected to the external charging pile user client based on the wireless communication method; the data bus communication method includes the RS485 bus communication method and the CAN bus communication method; the wired network communication method includes the wired Ethernet communication method, and the wireless communication method includes the 4G communication method, the 5G communication method, the IOT communication method and the C2X communication method.

12. The intelligent control network according to claim 11, characterized in that: The determination module is specifically used for: The rated power information of the substation transformer is collected through the intelligent control network to generate a corresponding first rated power; and the real-time output power of the civil power network and the intelligent control network on the substation transformer is collected to generate a corresponding first civil power and a first network power; and the maximum output power that can be used for charging is calculated based on the first rated power, the first civil power and the first network power to generate a corresponding first maximum charging power; the first maximum charging power = first rated power - (first civil power + first network power).

13. The intelligent control network according to claim 12, characterized in that: The control module is specifically used for: Data collection is performed on the maximum available power parameters and the rated power parameters of each charging pile of the charging network to generate the corresponding maximum available power of the first charging pile and the rated power of the first charging pile; and the sum of the maximum available powers of all the first charging piles is calculated to generate the corresponding first power sum; and the sum of the rated powers of all the first charging piles is calculated to generate the corresponding second power sum; the first power sum is less than or equal to the second power sum; Identify whether the current time meets the preset peak power consumption period; If the conditions are met, dynamic balancing control is performed during peak hours according to the first maximum charging power and the first power sum; If not, dynamic balancing control is performed during off-peak hours based on the first maximum charging power, the first power sum, and the second power sum.

14. The intelligent control network according to claim 13, characterized in that: The performing dynamic balancing control during peak hours according to the first maximum charging power and the first power sum includes: Whether the first maximum charging power is less than the first power sum is identified through the intelligent control network; if so, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding first ratio; and the product of the first ratio and the maximum available power of each of the first charging piles is used as the corresponding first control power; and based on each of the first control powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; the first ratio is less than 1.

15. The intelligent control network according to claim 13, characterized in that: The performing dynamic balancing control during non-peak hours according to the first maximum charging power, the first power sum, and the second power sum includes: identifying the first maximum charging power through the intelligent control network; If the first maximum charging power is greater than or equal to the sum of the second powers, setting the maximum available power parameter of each charging pile in the charging network to the corresponding rated power parameter; If the first maximum charging power is greater than or equal to the first power sum and less than the second power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding second ratio; and the product of the second ratio and the maximum available power of each of the first charging piles is used as the corresponding second regulation power; and based on each of the second regulation powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; the second ratio is greater than or equal to 1; If the first maximum charging power is less than the first power sum, the ratio of the first maximum charging power to the first power sum is calculated to generate a corresponding third ratio; and the product of the third ratio and the maximum available power of each of the first charging piles is used as the corresponding third control power; and based on each of the third control powers, the maximum available power parameters of the corresponding charging piles in the charging network are reset; and the third ratio is less than 1.

16. The intelligent control network according to claim 12, characterized in that: The intelligent control network also includes: an interconnection control module, which is used to control the vehicle-grid interaction state of the charging pile based on the charging / distribution application initiated by the charging pile user.

17. The intelligent control network according to claim 16, characterized in that: The interconnection control module is specifically used for: The charging / power distribution application sent by the charging pile user client received by the intelligent control network is taken as the corresponding first application; and the corresponding first type, first charging pile identifier and first application time are extracted from the first application; and the charging pile whose charging pile identifier parameter in the charging network matches the first charging pile identifier is taken as the corresponding current charging pile; and the first type is identified; if the first type is a charging type, the vehicle-grid interaction state parameter of the current charging pile is set to the vehicle charging state; if the first type is a power distribution type, whether the first application time meets the preset peak power consumption period is identified, and if so, the vehicle-grid interaction state parameter of the current charging pile is set to the network access power distribution state; the first application includes the first type, the first charging pile identifier and the first application time; the first type includes a charging type and a power distribution type.

18. The intelligent control network according to claim 17, characterized in that: The intelligent control network also includes: The control module is used for each charging pile to use the set vehicle-grid interaction state parameter as the corresponding current vehicle-grid interaction state each time the vehicle-grid interaction state parameter is set; and when the current vehicle-grid interaction state is the vehicle charging state, it is connected with the corresponding charging circuit breaker and disconnected with the corresponding distribution circuit breaker; and when the current vehicle-grid interaction state is the network distribution state, it is connected with the corresponding distribution circuit breaker and disconnected with the corresponding charging circuit breaker.

19. A computer device, characterized in that: include: one or more processors; The processor is used to store one or more programs; When the one or more programs are executed by the one or more processors, the vehicle-grid interaction method for dynamic balancing control of charging power in a distribution network area as described in any one of claims 1 to 9 is implemented.

20. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method for dynamic balancing and controlling the charging power of a distribution network area and the vehicle-grid interaction is implemented as described in any one of claims 1 to 9.

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