CN112874373B - Orderly charging control method, system and medium based on load scheduling of charging station - Google Patents

Abstract

The invention relates to an orderly charging control method, system and medium based on load scheduling of charging stations. The method includes: first, according to the target charging amount and charging dwell time required by the user side, combined with the current power supply situation and charging parameters of the charging station , obtain the charging time elasticity; secondly, select the corresponding charging mode based on the corresponding relationship between the charging time elasticity and the preset charging mode; then, based on the solar energy scheduling information, regional electricity distribution information and charging mode matched by the current charging station, determine the current charging mode. Strategy information for controlling charging in the charging station; finally, the strategy information is sent to the user side, and charging is performed according to the feedback information from the user side. Through the coordinated control of each charging mode and different pricing, the present invention solves the problem that currently it can only statically monitor whether the power of the distribution network exceeds the standard and can only be allocated in a unified manner, but cannot make corresponding timely decisions according to user needs in real time, and realizes the charging unit orderly charging and safe and economical operation of the distribution network.

Description

Orderly charging control method, system and medium based on load scheduling of charging station

technical field

The invention relates to the technical field of charging, in particular to an orderly charging control method, system and medium based on load scheduling of charging stations.

Background technique

At present, there has been some research in the field of control strategies for orderly charging of electric vehicles, but the existing technologies achieve the purpose of improving the load characteristics through unified and coordinated control of the arriving electric vehicles, and do not take into account the individual needs of electric vehicle owners. Due to different specific charging requirements, effective information exchange with the owner has not been achieved, so orderly charging cannot be well realized in practical applications.

At the same time, various monitoring terminals are installed on the supply-side distribution network to detect the meter information, but they can only statically know whether the power exceeds the standard, and do not consider the actual needs of users.

SUMMARY OF THE INVENTION

(1) Technical problems to be solved

In view of the above shortcomings and deficiencies of the prior art, the present invention provides an orderly charging control method, system and medium based on load scheduling of charging stations, which solves the problem that currently only static monitoring of whether the power of the distribution network exceeds the standard and only unified deployment can be achieved. , but cannot respond to the technical problem in real time according to the different needs of users.

(2) Technical solutions

In order to achieve the above-mentioned purpose, the main technical scheme adopted in the present invention includes:

In a first aspect, an embodiment of the present invention provides an orderly charging control method based on charging station load scheduling, which includes:

S1. According to the obtained target charging amount and charging dwell time required by the user side, combined with the current power supply situation of the charging station and the charging parameters of the charging station, the charging time flexibility is obtained;

S2, selecting the corresponding charging mode based on the corresponding relationship between the charging time flexibility and the preset charging mode;

S3. Determine the strategy information for controlling charging in the current charging station based on the solar energy scheduling information, regional electricity distribution information and charging mode matched by the current charging station;

S4, sending the policy information to the user side, and charging according to the feedback information from the user side.

Optionally, step S1 includes:

S11. Obtain the target state of charge of the user side, the rated charge capacity of the battery and the remaining charge capacity of the battery, and obtain the target charge capacity by formula (1):

E=SOC×Q _e -Q _s (1)

Among them, E is the target charge capacity, SOC is the target state of charge, Q _e is the rated charge capacity of the battery, and Q _s is the remaining charge capacity of the battery;

S12. Obtain the rated charging power of the charging station according to the current power supply situation of the charging station and the charging parameters of the charging station, and obtain the charging time by formula (2):

t _c =E/P (2)

Among them, t _c is the charging time, and P is the rated charging power of the charging station;

S13. According to the charging dwell time selected by the user and the calculated charging time, the charging time elasticity is obtained by formula (3):

N=t _t /t _c (3)

Among them, N is the charging time elasticity, t _t is the charging dwell time, and t _c is the charging time.

Optionally, in step S2, the corresponding relationship between the elasticity of charging time and the preset charging mode is:

When the charging time flexibility satisfies N≤1, the charging mode is an urgent charging mode;

When the charging time elasticity satisfies 1<N≤x, the charging mode is the conventional charging mode;

When the charging time elasticity satisfies N≥x, the charging mode is a friendly charging mode;

Among them, x is the high elasticity point set according to the specific operation situation of the charging station, and x ≥ 2.

Optionally,

The urgent charging mode is charged according to the first price standard;

The conventional charging mode is charged according to the second price standard; the second price standard is the electricity price based on the current purchase or production cost, combined with the first charging time flexibility and the first discount for electric vehicle users, and the first discount is obtained through the formula (4) get:

K ₁ =1-[(N ₁ -1)/(x-1)]×(1-K) (4)

Among them, N ₁ is the first charging time elasticity, 1<N ₁ <x, and K ₁ is the first discount;

The friendly charging mode is charged according to the third price standard; the third price standard is the first price standard multiplied by the discount coefficient, and the discount coefficient is set according to the specific operation conditions of the charging station, 0.3≤k≤0.8, k is the discount coefficient ;

The first price standard>the second price standard>the third price standard.

Optionally, the discount enjoyed by the user side where the target state of charge is set to be lower than 100% is positively correlated with the idle state of charge, which is 100%-SOC.

Optionally, the method further includes a queue-cutting charging mode, and when the charging station is fully loaded and the charging time elasticity satisfies 0<N≤1, the charging mode is a queue-cutting charging mode.

Optionally, step S3 includes:

S31. Based on the solar energy scheduling information matched by the current charging station, determine whether there is solar energy connected to the charging station;

S32a, when the solar power connected to the current charging station is greater than 0, output the following policy information: support friendly charging mode/normal charging mode/urgent charging mode/queue-cutting charging mode, and take solar energy as the priority target and priority Provide a charging mode with more flexible charging time;

S32b, when the solar power connected to the current charging station is equal to 0, determine the electricity consumption distribution amount of the charging station based on the regional electricity consumption allocation information;

S33. When the power distribution amount of the charging station is less than the first threshold, output the following policy information: support urgent charging mode/queue-cutting charging mode;

S34. When the power distribution amount of the charging station is not less than the first threshold, output the following policy information: support friendly charging mode/normal charging mode/urgent charging mode/queue-cutting charging mode.

Optionally, step S4 includes:

The charging station operation system sends policy information to the user side through the charging station mobile application platform, so that the user can respond to the policy information within the effective time and send feedback information at any time: the charging mode change request or the charging suspension request, the charging station operation system will be based on The feedback information from the user side is used for charging.

In a second aspect, an embodiment of the present invention provides an orderly charging control system based on charging station load scheduling, including a charging station manipulation system and a charging station mobile application platform;

The charging station operating system includes a memory, a processor, and an orderly charging control program based on charging station load scheduling that is stored on the memory and can run on the processor. When the processor executes the program, the above-mentioned charging station-based charging station is implemented. Steps of an orderly charging control method for load scheduling.

In a third aspect, an embodiment of the present invention provides a computer-readable medium on which computer-executable instructions are stored. When the executable instructions are executed by a processor, the above-mentioned charging station load-based scheduling scheme is implemented. Sequence charging control method steps.

(3) Beneficial effects

The beneficial effects of the present invention are: now, a large number of charging units including electric vehicles are charged in disorder, which brings greater pressure to the regional distribution network. In order to reduce the impact on the distribution network under the condition of satisfying the charging load demand, the present invention proposes an orderly charging control method based on the load scheduling of the charging station. Under demand conditions, different time-flexible charging modes are obtained based on the real-time information interaction between the charging station and the user, so as to meet the charging needs of different users and improve the economic interests of both the charging station operator and the user. Aiming at load balancing of the power grid in the building area and prioritizing the use of solar energy, by changing the start-stop status and power size of each charging station and coordinating control for different pricing strategies, it can effectively solve the problem of currently only statically monitoring whether the power of the distribution network exceeds the standard and It can only be deployed in a unified manner, but cannot respond in real time according to the different needs of users, and realize the orderly charging of electric vehicles and the safe and economical operation of the distribution network.

Description of drawings

1 is a schematic flowchart of an orderly charging control method based on charging station load scheduling provided by the present invention;

FIG. 2 is a specific flowchart of step S1 of an orderly charging control method based on charging station load scheduling provided by the present invention;

3 is a schematic diagram of the conversion between charging time elasticity and price relationship of an orderly charging control method based on charging station load scheduling provided by the present invention;

FIG. 4 is a specific flowchart of step S3 of an orderly charging control method based on charging station load scheduling provided by the present invention;

FIG. 5 is a schematic flow chart of an electric vehicle charging and charging control method provided by an orderly charging control method based on charging station load scheduling provided by the present invention.

Detailed ways

In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below with reference to the accompanying drawings and through specific embodiments.

An orderly charging control method based on load scheduling of a charging station proposed by an embodiment of the present invention, as shown in FIG. 1 , includes: first, according to the target charging amount and charging dwell time required by the user side, combined with the current charging station to supply power According to the situation and charging parameters, the charging time flexibility is obtained; secondly, the corresponding charging mode is selected based on the corresponding relationship between the charging time flexibility and the preset charging mode; then, based on the solar energy scheduling information, regional electricity distribution information and charging information matched by the current charging station mode, and determine the strategy information for controlling charging in the current charging station; finally, the strategy information is sent to the user side, and charging is performed according to the feedback information from the user side.

Now, a large number of charging units, including electric vehicles, are charged out of order, which puts greater pressure on the regional distribution network. In order to reduce the impact on the distribution network under the condition of satisfying the charging load demand, the present invention proposes an orderly charging control method based on the load scheduling of the charging station. Under demand conditions, different time-flexible charging modes are obtained based on the real-time information interaction between the charging station and the user, so as to meet the charging needs of different users and improve the economic interests of both the charging station operator and the user. Aiming at load balancing of the power grid in the building area and prioritizing the use of solar energy, by changing the start-stop status and power size of each charging station and coordinating control for different pricing strategies, it can effectively solve the problem of currently only statically monitoring whether the power of the distribution network exceeds the standard and It can only be deployed in a unified manner, but cannot respond in real time according to the different needs of users, and realize the orderly charging of electric vehicles and the safe and economical operation of the distribution network.

For a better understanding of the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present invention will be more clearly and thoroughly understood, and will fully convey the scope of the present invention to those skilled in the art.

Specifically, the present invention discloses an orderly charging control method based on charging station load scheduling, which includes:

S1. According to the obtained target charging amount and charging dwell time required by the user side, and in combination with the current power supply situation of the charging station and the charging parameters of the charging station, the elasticity of charging time is obtained.

FIG. 2 is a schematic flowchart of step S1 of an orderly charging control method based on charging station load scheduling provided by the present invention. As shown in FIG. 2 , step S1 includes:

S11. Obtain the target state of charge, the rated charge capacity of the battery and the remaining charge capacity of the battery input by the user side through the mobile application platform of the charging station, and obtain the target charge amount by formula (1) as:

E=SOC×Q _e -Q _s (1)

Among them, E is the target charge amount, SOC is the target state of charge set by the user, Q _e is the rated charge capacity of the battery, and Q _s is the remaining charge capacity of the battery.

S12. Obtain the power supply situation of the current charging station and the charging parameters of the charging station through the mobile application platform of the charging station, and then obtain the rated charging power of the charging station, and calculate the charging time by formula (2) as:

t _c =E/P (2)

Among them, t _c is the charging time, and P is the rated charging power of the charging station.

S13. According to the charging dwell time selected by the user and the calculated charging time, the charging time elasticity is calculated by formula (3) as:

n=t _t /t _c (3)

Among them, n is the charging time elasticity, t _t is the charging dwell time, and t _c is the charging time.

S2. Select the corresponding charging mode based on the corresponding relationship between the charging time elasticity and the preset charging mode.

Among them, according to the flexibility of the charging time, the user's charging options are divided into three different charging modes: an urgent charging mode (including a queue-cutting mode), a conventional charging mode, and a friendly charging mode. The unit charge of the three charging modes is arranged from high to low, and users who set the SOC below 100% can enjoy additional discounts.

The corresponding relationship between the charging time flexibility and the preset charging mode is:

When the charging time flexibility satisfies N≤1, the charging mode is an urgent charging mode;

When the charging time elasticity satisfies 1<N≤x, the charging mode is the conventional charging mode;

When the charging time elasticity satisfies N≥x, the charging mode is a friendly charging mode;

Among them, x is the high elasticity point set according to the specific operation situation of the charging station, and x ≥ 2.

Fig. 3 is a schematic diagram of the conversion between charging time elasticity and price relationship of an orderly charging control method based on charging station load scheduling provided by the present invention. As shown in Fig. 3, the abscissa is the charging elasticity selected by the electric vehicle user of the charging station, The ordinate is the price relationship corresponding to the charging flexibility of the urgent, conventional and friendly modes. Figure 3 does not include the queue charging mode and price incentives for customer-set SOC below 100%.

Further, the urgent charging mode is charged according to the first price standard; the first price standard includes the current electricity price of purchase or production cost and service fee. The maximum charge here is the charge without any discount.

The friendly charging mode is charged according to the second price standard; the second price standard is the first price standard multiplied by the discount coefficient, and the discount coefficient is set according to the specific operation of the charging station, 0.3≤k≤0.8, k is the discount coefficient .

The conventional charging mode is billed according to the third price standard; the third price standard is the floating electricity price based on the current purchase or production cost, combined with the flexibility of the first charging time for electric vehicle users and the first discount. The first discount is obtained through the formula (4) get:

K ₁ =1-[(N ₁ -1)/(x-1)]×(1-K) (4)

Among them, N ₁ is the first charging time elasticity, 1<N ₁ <x, and K ₁ is the first discount.

Further, the discount enjoyed by the user side where the target state of charge is set to be lower than 100% is positively correlated with the idle state of charge, which is 100%-SOC.

Furthermore, the method further includes a queue-cutting charging mode. When the charging station is fully loaded and the charging time elasticity satisfies 0<N≤1, the charging mode is a queue-cutting charging mode.

In a specific embodiment, when the charging station is fully loaded, there is still a certain amount of charging scheduling, and there are new electric vehicle owners who are in urgent need of charging and can accept higher charging prices, the charging station will suspend charging at this time. The charging behavior of a vehicle with more flexibility and room to maneuver, in turn, to charge this newly entered EV. The charging time elasticity of this charging mode is less than or equal to 1, which belongs to a special mode under the urgent charging mode: a special mode in which the charging station is fully loaded and needs to be charged in a queue. Its unit electricity price is higher than the electricity price in the urgent charging mode.

S3. Determine the strategy information for controlling charging in the current charging station based on the solar energy scheduling information, regional electricity distribution information and charging mode matched by the current charging station.

FIG. 4 is a schematic flowchart of step S3 of an orderly charging control method based on charging station load scheduling provided by the present invention. As shown in FIG. 4 , step S3 includes:

S31 , based on the solar energy scheduling information matched by the current charging station, determine whether there is solar energy connected to the charging station.

S32a, when the solar power connected to the current charging station is greater than 0, output the following policy information: support friendly charging mode/normal charging mode/urgent charging mode/queue-cutting charging mode, and take solar energy as the priority target and priority Provide a charging mode with more flexible charging time. The price of electricity for solar power is less than the current cost of buying or producing electricity.

The current solar power connected to the charging station is:

p _c = p _t - p _y (5)

Among them, pc is the solar power connected to the charging station within the preset solar microgrid range, p _t is the actual solar power supply within the preset solar _{microgrid range, and py is} the preset solar power Electric power used by buildings other than charging stations within the range of the microgrid.

S32b, when the solar power connected to the current charging station is equal to 0, determine the electricity consumption distribution amount of the charging station based on the regional electricity consumption allocation information. The regional electricity distribution information includes the total electricity consumption of the area, and the total electricity consumption of the area = the electricity consumption distribution of the charging station + the electricity consumption unit allocation volume + the building electricity consumption allocation volume.

S33. When the power distribution amount of the charging station is less than the first threshold, output the following policy information: support urgent charging mode/queue-cutting charging mode. When the regional power consumption distribution amount is smaller than the first threshold, it is represented as a situation that the regional power consumption has basically reached full load when the load is not adjusted and optimized. At this time, the unit electricity price of the charging station is higher than the peak electricity price of the regional power grid, and it does not enjoy any discount and is only applicable to the urgent charging mode by default.

In the specific embodiment of the present invention, the charging station relies on various building settings, and the charging station can connect to multiple electric vehicles at the same time. The charging station can only charge electric vehicles in the urgent charging mode/queuing charging mode, but there is no room for adjustment at all (that is, the distribution of electricity units and the distribution of building electricity occupy all the electricity consumption, and the charging station uses When the power distribution amount is 0), charging will not be performed even in the urgent charging mode/queue charging mode. At this time, the charging station is an electric vehicle that can be connected to other charging modes, but it will not charge the electric vehicles of these modes for the time being.

S34. When the power distribution amount of the charging station is not less than the first threshold, output the following policy information: support friendly charging mode/normal charging mode/urgent charging mode/queue-cutting charging mode. The fact that the regional power distribution amount is not less than the first threshold value is represented as the situation that the power generation of the distributed energy resources in the regional power grid is already excessive for the regional power consumption and needs to be connected to the Internet or abandoned. At this time, when the electric vehicle selects the friendly charging mode, the unit electricity price of the charging station is less than the unit electricity price of the solar energy; when the electric vehicle selects the conventional charging mode or the urgent charging mode, the user can temporarily change the new charging mode. charging mode.

S4, sending the policy information to the user side, and charging according to the feedback information from the user side.

The charging station control system sends strategy information to the user side through the mobile application platform of the charging station, so that the user can respond to the strategy information within a valid time, so that users who have a choice space can change the charging mode, especially when there is a large amount of excess electric energy in the area temporarily. Users whose charging is complete and the set target SOC is below 100% are encouraged to change the setting.

The user responds to the policy information through the mobile application platform of the charging station within the valid time, and chooses to send a charging mode change request and a charging suspension request to the charging station operating system at any time.

The charging station control system collects the user's basic information, vehicle information and user experience feedback through the charging station mobile application platform, and then combines the current analysis data to repeatedly optimize and analyze the charging station's electricity price billing strategy until the optimal user is finally given. A control strategy for the dynamic balance of engagement and operational benefits.

In a specific embodiment of the present invention, FIG. 5 is a brief schematic diagram of the process flow of an electric vehicle charging and charging control method based on an orderly charging control method based on charging station load scheduling provided by the present invention, as shown in FIG. 5 , including the following step:

First, the electric vehicle is connected to the charging gun of this orderly charging pile platform, and the user can start charging by scanning the code or setting the client app. The charging station mobile application platform identifies whether the user is a registered user. If it is a non-registered user, the user needs to register and fill in the personal and vehicle information related to the later system optimization; if it is a registered user, go to the next step .

Secondly, the mobile application platform of the charging station collects the data of the charging amount and the charging dwell time input by the electric vehicle user, and calculates the charging time elasticity of the electric vehicle in combination with the current power supply of the regional power grid and the charging pile system. According to the flexibility of charging time, the user's charging options are divided into three different charging modes: urgent charging mode (including queue-cutting mode), conventional charging mode, and friendly charging mode. The unit charge of the three charging modes is arranged from high to low, and users who set the SOC below 100% can enjoy additional discounts.

Then, according to whether the current charging station is connected to solar energy and regional electricity consumption in a certain scheduling period in the future, if there is solar energy access, the electric vehicle with more flexible charging mode will be preferentially supplied, and the low-cost solar energy billing standard will be calculated. fee. The control strategy for accessing charging piles during the scheduling period is analyzed and given, and the user's participation and cooperation are encouraged through different pricing.

Then, during the charging session, the charging station mobile application platform sends a request to the user when the charging station unit electricity price is high and the regional power consumption changes temporarily and drastically, so that the user who has the choice can change the charging mode, especially the area. When there is a large excess of power temporarily, users who have completed charging and set the target SOC below 100% are encouraged to change the setting. The electric vehicle user responds to the strategy information of the charging station operating system within the valid time, and sends the charging mode change request and the charging suspension request to the charging station at any time.

Finally, charging is complete, billing, and the charging session ends.

In addition, the present invention also provides an orderly charging control system based on charging station load scheduling, including a charging station manipulation system and a charging station mobile application platform.

The charging station operating system includes a memory, a processor, and an orderly charging control program based on charging station load scheduling that is stored on the memory and can run on the processor. When the processor executes the program, the above-mentioned charging station-based charging station is implemented. Steps of an orderly charging control method for load scheduling.

At the same time, a computer-readable medium provided by the present invention stores computer-executable instructions on it, and when the executable instructions are executed by a processor, the above-mentioned orderly charging control based on charging station load scheduling is realized. method steps.

To sum up, the present invention provides an orderly charging control method, system and medium based on load scheduling of charging stations. Obtain the charging amount demand and the charging dwell time, so as to design three modes of urgent charging mode (as well as subdivided first urgent charging mode and second urgent charging mode), normal charging mode and friendly charging mode. Then, according to the regional power consumption, combined with the basic data of the charging pile and the information obtained by the user side, a comprehensive calculation is carried out to calculate the load that can be dispatched in the current period, and to optimize the priority charging order of each electric vehicle.

The present invention solves the problems that the charging power can only be adjusted inelastically in a unified manner at present, and the charging sequence cannot be optimized in real time through effective communication with the user side, so as to realize the orderly charging of electric vehicles and the safe and economical operation of the distribution network.

Since the systems/devices described in the above-mentioned embodiments of the present invention are used to implement the methods of the above-mentioned embodiments of the present invention, those skilled in the art can understand the system based on the methods described in the above-mentioned embodiments of the present invention. / The specific structure and deformation of the device will not be repeated here. All systems/devices used in the methods of the above embodiments of the present invention belong to the scope of protection of the present invention.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions.

It should be noted that, in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not preclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In the claims enumerating several means, several of these means can be embodied by one and the same item of hardware. The words first, second, third, etc. are used for convenience only and do not imply any order. These words can be understood as part of the part name.

In addition, it should be noted that in the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiments", "examples", "specific examples" or "some examples", etc., are Indicates that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, those skilled in the art may combine and combine the different embodiments or examples described in this specification, as well as the features of the different embodiments or examples, without conflicting each other.

Although the preferred embodiments of the present invention have been described, additional changes and modifications to these embodiments will occur to those skilled in the art after learning the basic inventive concepts. Therefore, the claims should be construed to include the preferred embodiment and all changes and modifications that fall within the scope of the present invention.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention. Thus, provided that these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include these modifications and variations.

Claims (6)

1. an orderly charging control method based on charging station load scheduling, is characterized in that, comprises: S1. According to the obtained target charging amount and charging dwell time required by the user side, combined with the current power supply situation of the charging station and the charging parameters of the charging station, the charging time flexibility is obtained; Step S1 includes: S11. Obtain the target state of charge of the user side, the rated charge capacity of the battery and the remaining charge capacity of the battery, and obtain the target charge capacity by formula (1): E=SOC×Q _e -Q _s (1) Among them, E is the target charge capacity, SOC is the target state of charge, Q _e is the rated charge capacity of the battery, and Q _s is the remaining charge capacity of the battery; S12. Obtain the rated charging power of the charging station according to the current power supply situation of the charging station and the charging parameters of the charging station, and obtain the charging time by formula (2): t _c =E/P (2) Among them, t _c is the charging time, and P is the rated charging power of the charging station; S13. According to the charging dwell time selected by the user and the calculated charging time, the charging time elasticity is obtained by formula (3): N=t _t /t _c (3) Among them, N is the charging time elasticity, t _t is the charging dwell time, and t _c is the charging time; S2, selecting the corresponding charging mode based on the corresponding relationship between the charging time flexibility and the preset charging mode; Based on the corresponding relationship between the charging time flexibility and the preset charging mode: When the charging time flexibility satisfies N≤1, the charging mode is an urgent charging mode; When the charging time elasticity satisfies 1<N≤x, the charging mode is the conventional charging mode; When the charging time elasticity satisfies N≥x, the charging mode is a friendly charging mode; When the charging station is fully loaded and the charging time flexibility satisfies 0<N≤1, the charging mode is the queue-cutting charging mode; Among them, x is the high elasticity point set according to the specific operation situation of the charging station, x ≥ 2; S3. Determine the strategy information for controlling charging in the current charging station based on the solar energy scheduling information, regional electricity distribution information and charging mode matched by the current charging station; Step S3 includes: S31. Based on the solar energy scheduling information matched by the current charging station, determine whether there is solar energy connected to the charging station; S32a, when the solar power connected to the current charging station is greater than 0, output the following policy information: support friendly charging mode/normal charging mode/urgent charging mode/queue-cutting charging mode, and take solar energy as the priority target and priority Provide a charging mode with more flexible charging time; S32b, when the solar power connected to the current charging station is equal to 0, determine the electricity consumption distribution amount of the charging station based on the regional electricity consumption allocation information; S33. When the power distribution amount of the charging station is less than the first threshold, output the following policy information: support urgent charging mode/queue-cutting charging mode; S34. When the power distribution amount of the charging station is not less than the first threshold, output the following policy information: support friendly charging mode/normal charging mode/urgent charging mode/queue-cutting charging mode; S4, sending the policy information to the user side, and charging according to the feedback information from the user side. 2. An orderly charging control method based on charging station load scheduling according to claim 1, characterized in that, The urgent charging mode is charged according to the first price standard; The conventional charging mode is charged according to the second price standard; the second price standard is the electricity price based on the current purchase or production cost, combined with the first charging time flexibility and the first discount for electric vehicle users, and the first discount is obtained through the formula (4) get: K ₁ =1-[(N ₁ -1)/(x-1)]×(1-K) (4) Among them, N ₁ is the first charging time elasticity, 1<N ₁ <x, and K ₁ is the first discount; The friendly charging mode is charged according to the third price standard; the third price standard is the first price standard multiplied by the discount coefficient, and the discount coefficient is set according to the specific operation of the charging station, 0.3≤k≤0.8, k is the discount coefficient ; The first price standard > the second price standard > the third price standard. 3. An orderly charging control method based on charging station load scheduling according to claim 1, wherein the target state of charge is set to be lower than 100% of the discount enjoyed by the user side and the idle state of charge A positive correlation, the idle state of charge is 100% -SOC. 4. An orderly charging control method based on charging station load scheduling according to claim 1, wherein step S4 comprises: The charging station operation system sends policy information to the user side through the charging station mobile application platform, so that the user can respond to the policy information within the effective time and send feedback information at any time: the charging mode change request or the charging suspension request, the charging station operation system will be based on The feedback information from the user side is used for charging. 5. An orderly charging control system based on charging station load scheduling, characterized in that it comprises a charging station operating system and a charging station mobile application platform; The charging station operating system includes a memory, a processor, and an orderly charging control program based on charging station load scheduling that is stored in the memory and can run on the processor. When the processor executes the program, any one of claims 1 to 4 is implemented. The steps of an orderly charging control method based on charging station load scheduling described in item 1. 6. A computer-readable medium on which computer-executable instructions are stored, characterized in that, when the executable instructions are executed by a processor, a charging-based charging method according to any one of claims 1-4 is realized. Steps of an orderly charging control method for station load scheduling.

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