CN113060036A

CN113060036A - Charging control method and device for optical storage charging station, server and storage medium

Info

Publication number: CN113060036A
Application number: CN202110277828.1A
Authority: CN
Inventors: 王晨薇
Original assignee: Shanghai Envision Innovation Intelligent Technology Co Ltd; Envision Digital International Pte Ltd
Current assignee: Shanghai Envision Innovation Intelligent Technology Co Ltd; Envision Digital International Pte Ltd
Priority date: 2021-03-15
Filing date: 2021-03-15
Publication date: 2021-07-02
Anticipated expiration: 2041-03-15
Also published as: CN113060036B

Abstract

The application discloses a charging control method and device of an optical storage charging station, a server and a storage medium, and relates to the technical field of charging control. The method comprises the following steps: acquiring the charging demand information of the electric vehicle in the optical storage charging station; determining the demand urgency of the electric automobile according to the charging demand information; acquiring real-time power utilization power of the optical storage charging station and real-time power generation power of photovoltaic in the optical storage charging station; determining equivalent power based on the sum of the real-time power utilization power, the real-time power generation power and the first charging power; and determining a charging control strategy of the optical storage charging station according to the equivalent power. In the embodiment of the application, the formulated charging control strategy can meet the optimization target of minimizing the fluctuation of the power grid, and the operation safety of the power grid is improved.

Description

Charging control method and device for optical storage charging station, server and storage medium

Technical Field

The present disclosure relates to the field of charging control technologies, and in particular, to a charging control method and apparatus for an optical storage charging station, a server, and a storage medium.

Background

In recent years, Electric Vehicles (EVs) have been rapidly developed, and more Electric vehicles are put into market.

Electric automobile can store up the charging station at light and charge, and light stores up the charging station and is an electric automobile charging station that contains photovoltaic, energy storage and fill electric pile. The electric energy source of the light storage charging station can be any one of photovoltaic, energy storage and power grid. The charging behavior of the electric automobile has strong randomness, and the charging power of the electric automobile is large, so that the influence on a power grid cannot be ignored.

How to perform charging control in an optical storage charging station to minimize the influence on the power grid has not provided a good solution in the related art.

Disclosure of Invention

The application provides a charging control method, a charging control device, a server and a storage medium of an optical storage charging station, so that a charging control strategy can meet the optimization target of minimizing power grid fluctuation, and the running safety of a power grid is improved. The technical scheme is as follows:

according to an aspect of the present application, there is provided a charging control method for an optical storage charging station, applied to a server, the method including:

acquiring the charging demand information of the electric vehicle in the optical storage charging station;

determining the demand urgency of the electric automobile according to the charging demand information;

acquiring real-time power utilization power of the optical storage charging station and real-time power generation power of photovoltaic in the optical storage charging station;

determining equivalent power based on the real-time electricity utilization power, the real-time electricity generation power and a first charging power sum, wherein the equivalent power is power required by the optical storage charging station to be obtained from a power grid under the condition that energy storage in the optical storage charging station is not considered, and the first charging power sum is power sum required by charging the electric vehicle with the maximum charging power, the demand urgency of which is not less than a threshold value;

and determining a charging control strategy of the optical storage charging station according to the equivalent power.

Optionally, in the fourth strategy, the first power difference is greater than the second charging power sum, and the first power difference is smaller than the third charging power sum, and the second charging power sum is the sum of i₁Front i in an electric vehicle₁-the sum of the power required for charging 1 electric vehicle at said maximum charging power, said third charging power sum being said i₁The sum of the powers required for charging the vehicle electric vehicle at the maximum charging power, the first power difference being a difference between the reference power and the equivalent power; i is described₁Front i in an electric vehicle₁-the charging power of 1 electric vehicle is the maximum charging power, ith₁And the charging power of the vehicle electric automobile is the difference between the first power difference and the second charging power sum.

Optionally, in the fifth strategy, the second power difference is greater than a fifth charging power sum, and the second power difference is smaller than a sixth charging power sum, where the fifth charging power sum is the sum of i₂Front i in an electric vehicle₂-the sum of the power required for charging 1 electric vehicle at said maximum charging power, said sixth charging power sum being said i₂The sum of the power required for charging the vehicle electric vehicle at the maximum charging power; i is described₂Front i in an electric vehicle₂-the charging power of 1 electric vehicle is the maximum charging power, ith₂And the charging power of the vehicle electric automobile is the difference between the second power difference and the fifth charging power sum.

Optionally, the method further includes:

acquiring recorded data of each transformer in the optical storage charging station;

determining a first total amount of electricity, a second total amount of electricity and an amount of generated electricity within an operating time based on the recorded data, wherein the first total amount of electricity is a total amount of electric vehicles in the optical storage charging station, the second total amount of electricity is a total amount of electricity used in the optical storage charging station except the first total amount of electricity, and the amount of generated electricity is a total amount of photovoltaic generated electricity in the optical storage charging station;

determining the reference power based on the first total amount of electricity, the second total amount of electricity, the amount of electricity generated, and the operating time.

According to an aspect of the present application, there is provided a charge control apparatus of an optical storage charging station, the apparatus including: the device comprises an acquisition module and a determination module;

the acquisition module is used for acquiring the charging demand information of the electric vehicle in the optical storage charging station;

the determining module is used for determining the demand urgency of the electric automobile according to the charging demand information;

the acquisition module is used for acquiring the real-time electricity utilization power of the optical storage charging station and the real-time power generation power of the photovoltaic in the optical storage charging station;

the determining module is configured to determine an equivalent power based on the real-time power consumption power, the real-time power generation power, and the first sum of charging powers, where the equivalent power is a power that the optical storage charging station needs to obtain from a power grid without considering energy storage in the optical storage charging station, and the first sum of charging powers is a sum of powers that an electric vehicle with the demand urgency degree not less than a threshold needs to be charged with a maximum charging power;

the determining module is used for determining a charging control strategy of the optical storage charging station according to the equivalent power.

According to an aspect of the present application, there is provided a server including: a processor having a memory coupled to the memory; wherein the processor is configured to load and execute executable instructions to implement the charging control method of the optical storage charging station as described in the above aspect.

According to an aspect of the present application, there is provided a computer-readable storage medium storing at least one instruction for execution by a processor to implement the method of controlling charging of an optical storage charging station as described in the above aspect.

According to another aspect of the application, a computer program product or computer program is provided, comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the charging control method of the optical storage charging station provided in the above-described alternative implementation manner.

The technical scheme provided by the embodiment of the application at least comprises the following beneficial effects:

the server can determine the power (equivalent power) that the optical storage charging station needs to acquire from the power grid under the condition of not considering the energy storage in the optical storage charging station by acquiring the real-time power consumption power and the real-time power generation power of the optical storage charging station and the charging demand information of the electric automobile, and then the server can formulate a charging control strategy matched with the power storage charging station according to the equivalent power, so that the charging control strategy can meet the optimization target of the minimum fluctuation of the power grid, and the running safety of the power grid is improved.

Meanwhile, the method provided by the application only needs to count the real-time power consumption power, the real-time power generation power and the charging demand information of the electric automobile without depending on a charging demand prediction model, and the implementation difficulty is low.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a system block diagram of an optical storage charging station provided in an exemplary embodiment of the present application;

fig. 2 is a flowchart of a charging control method of an optical storage charging station according to an exemplary embodiment of the present application;

fig. 3 is a flowchart of a charging control method of an optical storage charging station according to an exemplary embodiment of the present application;

fig. 4 is a flowchart of a charging control method of an optical storage charging station according to an exemplary embodiment of the present application;

fig. 5 is a block diagram illustrating a structure of a charge control apparatus of an optical storage charging station according to an exemplary embodiment of the present application;

fig. 6 is a block diagram of a server according to an exemplary embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Reference herein to "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

First, the terms referred to in the present application will be briefly described:

electric automobile: the electric vehicle is driven by an electric motor using electric energy as a power source.

Electric vehicles have received much attention because of their advantages of clean energy and environmental friendliness. The wide application of the electric automobile can effectively relieve the dependence of the traditional fuel oil automobile on fossil fuel, thereby reducing the emission of pollution gas.

State of Charge (SOC): the ratio of the remaining capacity of the battery to its capacity in the fully charged state is expressed in terms of percentage.

The value range of the SOC is 0-1, when the SOC is 0, the battery is completely discharged, and when the SOC is 1, the battery is completely full.

Light stores up charging station: the charging station for the electric automobile comprises a photovoltaic device, an energy storage device and a charging pile.

In recent years, electric vehicles are rapidly developed, the charging mode of the electric vehicles is mainly centralized charging, and charging stations are generally established to realize centralized charging. Because the charging power of the electric automobile is high, certain impact can be generated on a power grid, and the charging station can be reasonably configured with photovoltaic and energy storage with certain capacity to build a light storage charging station. In the light storage charging station, the introduced photovoltaic can generate electricity, so that the randomness of a charging load is stabilized; the introduced energy storage can store energy, and the nearby consumption of the renewable energy power generation is promoted. The energy storage in the embodiment of the present application may also be understood as an energy storage device, an energy storage resource, an energy storage system, and the like.

Compared with a static energy storage resource, the charging and discharging time of the latter is completely determined by a control strategy of a microgrid system, the charging and discharging time of the former is mainly controlled by a user, and the microgrid system (micro-grid) is a system formed by other energy source flows or loads of an optical storage charging station besides an external power grid. The charging and discharging decision of the user on the electric automobile is influenced by the current battery capacity, the charging cost at the current moment and other factors, and the flexibility and the randomness are high. Meanwhile, compared with a residential community charging station or a charging station used by employees in an enterprise, the charging requirement of the commercial public charging station has the characteristics that the arrival time and the departure time of the vehicle owner are inconsistent, the initial SOC difference of the vehicle is large, the fluctuation of the requirement is large, the requirement on the satisfaction degree of the charging service is high, and the like.

The large-scale electric automobile is charged disorderly, so that the economical efficiency, the stability and the reliability of the operation of a power grid can be reduced, and the safe operation of the power grid is damaged, so that the electric automobile is guided to be charged orderly by adopting a proper charging control strategy to ensure the safe and economical operation of the power grid.

In the related art, there have been some researches on the operation and configuration problems of the charging station containing photovoltaic or energy storage, but there have been few researches on the operation and configuration problems of the charging station for light storage. In few researches on the optical storage charging station, a complex optimization model is often required to be established, linear programming and even some heuristic algorithms are adopted for calculation, and the calculation process is complex. Meanwhile, the calculation must rely on a charging demand prediction model obtained by historical data fitting, and the accuracy of the charging demand prediction model can greatly influence the optimization effect of the scheme. The scheme provided in the related art has a large difficulty in landing when applied to a commercial public charging station requiring high flexibility.

The application aims to provide a charging control method of an optical storage charging station, the charging requirement of a user does not need to be predicted, and the minimum fluctuation of a power grid is taken as an optimization target.

Referring to fig. 1 in combination, a system block diagram of an optical storage charging station provided by an exemplary embodiment of the present application is shown. This light stores up charging station can include: photovoltaic 11, energy storage 12, charging system 13, grid 14 and other load devices 15.

The photovoltaic 11 is a solar photovoltaic power generation system for short, and is a power generation system which directly converts solar radiation energy into electric energy by using the photovoltaic effect (photovoltaic effect) of a solar cell semiconductor material. The photovoltaic 11 is used for supplying power for the light storage charging station. The photovoltaic 11 may be mounted on the roof of the light storage charging station. In the embodiment of the present application, the photovoltaic cells 11 may be centralized or distributed.

The energy storage 12 is a system containing energy storage batteries. The energy storage 12 is used for storing surplus electric energy by using an energy storage battery when the photovoltaic 11 generates excessive power or the power grid 14 is loaded at a low valley. For example: and at night, storing low-price electric energy into the energy storage battery, and outputting the electric energy in the energy storage battery to supply power for the optical storage charging station in daytime.

The charging system 13 includes a plurality of charging piles (charging piles), which are charging devices for providing charging services to the electric vehicles. The charging pile supports connection with the electric automobile and supplies power for the electric automobile entering the optical storage charging station. The charging pile can be a floor type charging pile or a wall-mounted charging pile, and charging modes of types such as timing, electricity metering degree and money metering are adopted. One charging pile supports the provision of charging services for one or more electric vehicles, and fig. 1 illustrates an example in which only one charging pile provides charging services for one electric vehicle. Optionally, the charging pile comprises a human-computer interaction interface, and charging demand information of the user on the electric vehicle can be acquired. Optionally, when the charging pile is connected with the electric automobile, battery information of the electric automobile can be acquired.

The power grid 14 is a network for transmitting electric power from the outside. It will be appreciated that the electrical grid 14 is responsible for powering other electricity usage sites in the society in addition to the optical storage charging stations.

The other load devices 15 are devices that require power consumption in addition to the electric vehicle in the optical storage charging station. The other load devices 15 may be office electrical devices (e.g., computers), consumer electrical devices (e.g., lamps), etc. in the optical storage charging station.

The modules in the optical storage charging station may communicate with the server 16 through a network, which may be a wired network or a wireless network.

The server 16 is used for monitoring and controlling the operation of the optical storage and charging station. The server 16 may be an independent physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers. In the embodiment of the present application, the server 16 supports a charging control strategy for the optical storage charging station, and controls the charging behavior of the optical storage charging station.

Fig. 2 shows a flowchart of a charging control method for an optical storage charging station according to an exemplary embodiment of the present application, which may be applied to a server in the optical storage charging station shown in fig. 1, and the method may include the following steps:

step 210, obtaining the charging demand information of the electric vehicle in the optical storage charging station.

The server acquires the charging demand information of all electric vehicles in the optical storage charging station.

The charging demand information is information for reflecting the demand of the electric vehicle for the service provided by the optical storage charging station. Optionally, the charging requirement information includes but is not limited to: the expected departure time of the electric vehicle, and the expected electric power state at the time of departure of the electric vehicle. Optionally, the optical storage charging station provides a charging service for the electric vehicle according to the charging demand information.

Optionally, the server acquires the charging demand information from the charging pile. The charging pile comprises a human-computer interaction interface, acquires charging demand information of a user for the electric automobile through the human-computer interaction interface, and sends the charging demand information to the server through the network.

And step 220, determining the demand urgency of the electric automobile according to the charging demand information.

And aiming at any electric automobile, the server calculates the corresponding demand urgency degree of the electric automobile according to the acquired charging demand information.

The demand urgency level is used for reflecting the urgency level of providing the electric automobile with the service corresponding to the charging demand information. Alternatively, the larger the value of the demand urgency degree, the more the electric vehicle needs to be charged as soon as possible. Optionally, the demand urgency degree is a positive number, the server can divide the electric vehicle into different demand types according to the numerical value of the demand urgency degree, and the electric vehicles belonging to the numerical range of the same demand urgency degree are of the same demand type.

And step 230, acquiring the real-time power utilization power of the optical storage charging station and the real-time power generation power of the photovoltaic in the optical storage charging station.

Charging piles and other electric equipment exist in the optical storage charging station, and the real-time electric power is the power corresponding to the electricity consumption of all the electric equipment in the optical storage charging station at the current moment. The real-time power generation power is power corresponding to the photovoltaic power generation in the optical storage charging station at the current moment. It can be understood that, because there is a certain time delay in acquiring data of the electric quantity, the "current time" is actually a time slightly earlier than the real time, and the real-time power consumption power and the real-time power generation power acquired by the server are powers corresponding to the slightly earlier time.

Optionally, an electric meter data acquisition system is present in the light storage charging station. The electric meter data acquisition system is connected to a transformer general meter in the light storage charging station to obtain real-time power utilization power, and the electric meter data acquisition system is connected to an intelligent electric meter in the photovoltaic network cabinet to obtain real-time power generation power. The server acquires real-time electricity utilization power and real-time electricity generation power from the electric meter data acquisition system through a network.

And 240, determining equivalent power based on the sum of the real-time power consumption power, the real-time power generation power and the first charging power.

The first charging power sum is a sum of powers required for charging the electric vehicle, the demand urgency degree of which is not less than the threshold value, at the maximum charging power. Optionally, after obtaining the demand urgency levels of all the electric vehicles, the server sorts the electric vehicles, determines the electric vehicle whose demand urgency level is not less than the threshold, and calculates the total power required for charging the electric vehicle of the type described above with the maximum charging power. The threshold corresponding to the requirement urgency level may be set manually or by a server, which is not limited in the embodiments of the present application.

The maximum charging power refers to a maximum value of charging power that can be actually achieved by the electric vehicle. The maximum charging power of different electric vehicles may be the same or different. Optionally, for any electric vehicle, the maximum charging power P_cIs the maximum value P of the charging power allowed by the electric automobile_bmsMaximum value P of output power allowed by charging pile connected with electric automobile_pileThe minimum value in between. I.e. P_c＝min{P_bms，P_pile}。

Illustratively, the light stores the charging station and includes: electric automobile a, electric automobile b, electric automobile c and electric automobile d, the maximum charging power that corresponds respectively is: p_c1，P_c2，P_c3，P_c4. The electric vehicle with the demand urgency degree not less than the threshold value comprises: in the electric vehicle a, the electric vehicle b, and the electric vehicle c, the first total charging power is P_c1+P_c2+P_c3。

The equivalent power is the power that the optical storage charging station needs to draw from the electrical grid without taking into account the stored energy in the optical storage charging station. The server acquires real-time power consumption P_totalReal-time generated power P_solarAnd a first charging power sum

Rear, equivalent power

The emergency degree of the electric vehicles required in the optical storage charging station is not smaller than a threshold value, and m is a positive integer.

And step 250, determining a charging control strategy of the optical storage charging station according to the equivalent power.

Since the equivalent power is the power that the optical storage charging station needs to obtain from the power grid, in order to minimize the fluctuation of the power grid, the server determines a charging control strategy matched with the determined equivalent power according to the determined equivalent power.

Optionally, the foregoing steps 210 to 250 may be updated at preset time intervals, that is: and the server reformulates the charging control strategy of the optical storage charging station by taking a preset time interval as a period. Illustratively, the predetermined time interval is 15 minutes. Optionally, the above steps 210 to 250 may be updated under the trigger of a manager, that is: after the manual setting is updated, the server renews the charging control strategy of the optical storage charging station. Alternatively, the above steps 210 to 250 may be triggered to be updated by an event, where the event may be that the number of electric vehicles in the optical storage charging station is higher than a first threshold, or lower than a second threshold, and so on.

In summary, in the method provided in this embodiment, the server obtains the real-time power consumption power and the real-time power generation power of the optical storage charging station and the charging demand information of the electric vehicle, so as to determine the power (i.e., the equivalent power) that the optical storage charging station needs to obtain from the power grid without considering the energy storage in the optical storage charging station, and then the server may formulate the charging control strategy matched with the equivalent power according to the equivalent power, so that the charging control strategy can meet the optimization target of minimizing the fluctuation of the power grid, and the safety of the operation of the power grid is improved.

In an alternative embodiment based on fig. 2, fig. 3 shows a flowchart of a charging control method of an optical storage charging station according to an exemplary embodiment of the present application. In the present embodiment, step 250 is alternatively implemented as step 251 and step 252:

Wherein, the charging demand information may include: the expected departure time of the electric vehicle, and the expected electric power state at the time of departure of the electric vehicle. Accordingly, step 220 may include the following sub-steps:

s11, determining a first time period based on the expected leaving battery state of charge of the electric vehicle, the first time period being a time period required to reach the expected leaving battery state of charge of the electric vehicle.

Optionally, in addition to the charging demand information, the charging pile may also obtain Battery information of the electric vehicle from a Battery Management System (BMS) of the electric vehicle, where the Battery information includes: battery capacity of the electric vehicle, maximum value of charging power allowed by the electric vehicle, and the like. Further, the server acquires the information from the charging pile.

The expected state of charge at departure for an electric vehicle may be recorded as SOC_depThe current state of charge of the electric vehicle can be recorded as SOC_nowThe battery capacity of the electric vehicle can be recorded as W, and the maximum charging power can be recorded as P_c。

The first time length can be recorded as T_c，T_c＝(SOC_dep-SOC_now)*W/P_c。

S12, a second time period is determined based on the expected departure time of the electric vehicle, the second time period being a time period from the expected departure time of the electric vehicle at the present time.

The desired departure time of the electric vehicle may be denoted t_depThe current time can be denoted as t_now。

The second duration may be denoted as T_left，T_left＝t_dep-t_now。

S13, determining the quotient of the first time length and the second time length as the demand urgency of the electric vehicle.

The degree of urgency of demand may be noted as α, α ═ T_c/T_left。

When alpha is more than or equal to 1, the electric automobile needs to be charged as soon as possible to meet the charging requirement of a user; when alpha is less than 1, the electric automobile can wait for a period of time to start charging, and the charging requirement of a user can be met.

And 251, determining the power utilization state type corresponding to the current moment according to the relation between the equivalent power and the reference power.

The reference power is a reference value of the power that the optical storage charging station needs to obtain from the power grid. The server obtains the equivalent power and the reference power, and determines the power utilization state type corresponding to the current moment according to the relation between the equivalent power and the reference power. The power consumption state types include: at least one of a power consumption peak period, a power consumption valley period, and a power generation peak period.

Optionally, the reference power is predicted by the server according to the recorded data. The method for determining the reference power can refer to the following steps:

and S21, acquiring the recorded data of each transformer in the optical storage charging station.

The logging data includes, but is not limited to, at least one of: the geographical position coordinates of the optical storage charging station and the photovoltaic scale under each transformer of the optical storage charging station are obtained; the number, rated power and efficiency of the charging piles are connected under each transformer of the optical storage charging station; the capacity, the discharge power, the charge power and the maximum charge-discharge depth of the access energy under each transformer of the optical storage charging station; the historical daily load curves of other loads are connected under each transformer of the optical storage charging station, and 15-minute granularity electricity load data of at least one natural year are needed; and historical data of daily charging electric quantity of each transformer of the optical storage charging station.

It can be understood that the above recorded data can be collected by taking the transformer as a unit, and various data accessed under the same transformer are collected.

And S22, determining a first total electricity amount, a second total electricity amount and an electric energy generating amount in the operating time based on the recorded data, wherein the first total electricity amount is the total charging amount of the electric automobile in the optical storage charging station, the second total electricity amount is the total electricity amount except the first total electricity amount in the optical storage charging station, and the electric energy generating amount is the total photovoltaic electric energy generating amount in the optical storage charging station.

The server can predict the data or load curve of the next day based on the recorded data, and the predicted data comprises: in the operating time of the optical storage charging station, the power curves of other loads except the charging pile and the total power consumption Q_total(i.e., second total amount of electricity), the data for the power curve is a 15 minute particle size scale; power curve and total generated energy Q of photovoltaic power generation_solar(i.e., power generation), the data for the power curve is in the 15 minute granularity level; charging total electric quantity Q of electric automobile_ev(i.e., the first total amount of electricity).

For example, when the operation time of the optical storage charging station is 06: 00-0: 00 of the next day, the set of data collection points in the operation time is {06:00, 06:15, 06:30 … 23:45, 0:00 }.

And S23, determining the reference power based on the first total electricity amount, the second total electricity amount, the power generation amount and the operation time.

The first total amount of power may be denoted as Q_evThe second total amount of electricity can be denoted as Q_totalThe power generation output can be recorded as Q_solarThe running time may be denoted as T.

The reference power can be noted as P_base，P_base＝(Q_total-Q_solar+Q_ev) and/T. As can be seen from the above formula, the reference power may represent the average power during the operation time of the optical storage and charging station.

Step 252, determining a charging control strategy corresponding to the power utilization state type according to the power utilization state type.

The power consumption state types include: at least one of a power consumption peak period, a power consumption valley period, and a power generation peak period. In the embodiment of the present application, the power utilization status type and the charging control policy may be in a one-to-one relationship, or may be in a one-to-many relationship.

In summary, according to the method provided in this embodiment, data of the next day can be predicted by recording the data, and the reference power can be calculated according to the data of the next day, and the reference power can be used as an average power in the operation time period of the optical storage charging station and used for subsequent comparison with the equivalent power, so as to accurately determine the power utilization state type at the current time, and then an appropriate charging control strategy can be formulated according to the power utilization state type.

In an alternative embodiment based on fig. 3, let the equivalent power be P_equRecording the reference power as P_baseStep 251 has several conditions as follows:

firstly, the equivalent power is larger than the reference power, namely: p_equ>P_base>0, the electricity usage status type is peak electricity usage time.

Second, the equivalent power is equal to the reference power, that is: p_equ＝P_base>0, then the power usage status type is a power usage level peak period.

Thirdly, the equivalent power is smaller than the reference power and is larger than 0, namely: 0<P_equ<P_baseThe power usage status type is a power usage valley period.

Fourthly, the equivalent power is less than 0, namely: p_equ<0, the electricity consumption state type is the electricity generation peak time.

Next, a charging control strategy corresponding to the power usage state type will be exemplarily described with respect to the different power usage state types described above.

Firstly, the type of the power utilization state is the peak period of the power utilization.

1) When the type of the power utilization state is the peak period of power utilization, and the stored energy of the optical storage charging station meets the discharging condition, determining that the charging control strategy is a first strategy, wherein the first strategy comprises the following steps: and starting charging at the maximum charging power for the electric automobile with the demand urgency degree not less than the threshold, and starting discharging the stored energy.

2) And under the condition that the type of the electricity utilization state is the electricity utilization peak period and the stored energy of the optical storage charging station does not meet the discharging condition, determining that the charging control strategy is a second strategy, wherein the second strategy comprises the following steps: and starting charging the electric automobile with the demand urgency degree not less than the threshold value at the maximum charging power, and not discharging or charging the stored energy.

Optionally, the discharge conditions of the stored energy are: energy storage Current SOC > (1-depth of discharge).

Optionally, the discharge power allowed by the stored energy can be recorded as P_sdisWhen the energy storage starts to discharge, the actual discharge power is min { P ═ P { (m })_sdis，(P_equ-P_base)}。

Illustratively, the first policy includes: when the electric vehicle belongs to the peak period of electricity utilization, charging is started only for the charging pile connected with the electric vehicle with the demand emergency degree alpha larger than or equal to 1, and the charging power is the maximum charging power P_c. And simultaneously detecting the stored energy, and if the current SOC (1-depth of discharge) of the stored energy is greater, starting discharge of the stored energy, wherein the discharge power is min { P }_sdis，(P_equ-P_base)}。

Illustratively, the second policy includes: when the electric vehicle belongs to the peak period of electricity utilization, charging is started only for the charging pile connected with the electric vehicle with the demand emergency degree alpha larger than or equal to 1, and the charging power is the maximum charging power P_c. Simultaneously detecting the stored energy, and if the stored energy is at the current SOC<When the discharge depth is 1, the stored energy is not discharged and is not charged.

In summary, according to the method provided in this embodiment, when the power consumption state type is the power consumption peak time, the charging service is provided only for the electric vehicle with a high demand urgency, and meanwhile, under the condition that the stored energy satisfies the discharging condition, the stored energy discharging is started, so that the electric quantity required to be acquired from the external power grid by the optical storage charging station is reduced as much as possible, and the safe operation of the power grid is ensured.

And secondly, the power utilization state type is a power utilization level peak time period.

1) In the case that the power usage state type is a peak usage level period, determining the charge control strategy as a third strategy, the third strategy comprising: and starting charging the electric automobile with the demand urgency degree not less than the threshold value at the maximum charging power, wherein the stored energy of the optical storage charging station is not discharged or charged.

Illustratively, the third policy includes: when the peak time period of the power utilization level is up, charging is started only for the charging pile connected with the electric automobile with the requirement emergency degree alpha larger than or equal to 1, and the charging power is the maximum charging power P_cAnd simultaneously the stored energy is not discharged and not charged.

In summary, according to the method provided in this embodiment, when the power consumption state type is the peak power consumption level period, the charging service is provided only for the electric vehicle with a high demand urgency, so as to reduce the electric quantity that the optical storage charging station needs to obtain from the external power grid as much as possible, and ensure the safe operation of the power grid.

And thirdly, the type of the power utilization state is a power utilization valley period.

1) In a case where the power usage state type is a power usage valley period, determining the charge control policy as a fourth policy, the fourth policy including: to i₁Starting and charging an electric vehicle, and storing energy of the optical storage charging station without discharging and charging i₁Is a positive integer.

Wherein, in the fourth strategy, i₁The electric vehicles are front i after being ranked from high to low according to the emergency degree of the demand₁An electric vehicle.

Optionally, the server may rank the electric vehicles according to the demand urgency, and rank the EVs₁，EV₂，…，EVi₁In all i₁And charging the electric automobile.

Optionally, i₁The value of (a) needs to satisfy the following conditions: in a fourth strategy, the first power difference is greater than the second charging power sum, and the first power difference is less than the third charging power sum, the second charging power sum is i₁Front i in an electric vehicle₁-the sum of the powers required for charging 1 electric vehicle at maximum charging power, the third charging power sum being i₁The first power difference is the sum of the reference power and the equivalent powerThe difference between the rates. Optionally, i₁Front i in an electric vehicle₁-1 electric vehicle charging power at maximum charging power, ith₁The charging power of the vehicle electric automobile is the difference between the first power difference and the second charging power sum.

Illustratively, the fourth policy includes: when the electricity consumption is in the valley time period, the server sorts the i according to the emergency degree of the demand₁Charging of an electric vehicle, wherein i₁Satisfies the following conditions:

wherein, EV₁，EV₂，…，EVi₁1 maximum charging power P achievable in accordance therewith_cCharging, EVi₁According to power

And charging is carried out, and meanwhile, the stored energy is not charged or discharged.

In summary, in the method provided in this embodiment, when the power consumption state type is the power consumption valley time period, the i sorted according to the demand urgency degree₁The electric vehicle provides charging service so as to reduce the electric quantity which needs to be acquired from an external power grid by the optical storage charging station as much as possible and ensure the safe operation of the power grid.

Fourthly, the type of the power utilization state is the power generation peak period.

1) And under the condition that the type of the power utilization state is the power generation peak period, the second power difference value is greater than the first charging power sum, and the second power difference value is smaller than the fourth charging power sum, determining that the charging control strategy is a fifth strategy, wherein the fifth strategy comprises the following steps: to i₂Starting and charging an electric vehicle, and storing energy of the optical storage charging station without discharging and charging i₂Is a positive integer.

2) When the type of the power utilization state is the power generation peak period, the second power difference value is larger than the fourth charging power sum, and the stored energy of the optical storage charging station meets the charging condition, the charging control strategy is determined to be a sixth strategy, and the sixth strategy comprises the following steps: and starting charging all the electric automobiles, and starting charging the stored energy.

3) When the type of the power utilization state is the power generation peak time, the second power difference value is larger than the fourth charging power sum, and the stored energy of the optical storage charging station does not meet the charging condition, determining that the charging control strategy is a seventh strategy, wherein the seventh strategy comprises the following steps: all the electric automobiles are started to be charged, and the stored energy is not discharged or charged.

The fourth charging power sum is the power sum required by all electric vehicles in the optical storage charging station to charge at the maximum charging power, and the second power difference is the difference between the real-time power generation power and the real-time power utilization power; in the fifth strategy, i₂The electric vehicles are front i after being ranked from high to low according to the emergency degree of the demand₂An electric vehicle.

Optionally, the charging conditions of the stored energy are: energy storage current SOC < depth of charge.

Optionally, the charging power allowed by the stored energy may be denoted as P_schaWhen the energy storage starts to charge,

wherein n is the total number of electric vehicles in the optical storage charging station, and n is a positive integer.

Optionally, the server may rank the electric vehicles according to the demand urgency, and rank the EVs₁，EV₂，…，EVi₂In all i₂And charging the electric automobile.

Optionally, i₂The value of (a) needs to satisfy the following conditions: in a fifth strategy, the second power difference is greater than a fifth charging power sum, and the second power difference is less than a sixth charging power sum, the fifth charging power sum being i₂Front i in an electric vehicle₂-the sum of the powers required for charging 1 electric vehicle at maximum charging power, the sixth charging power sum being i₂The sum of the power required to charge the vehicle electric vehicle at the maximum charging power. Optionally, i₂Front i in an electric vehicle₂-1 electric vehicle charging power at maximum charging power, ith₂And the charging power of the vehicle electric automobile is the difference between the second power difference and the fifth charging power sum.

Illustratively, the fifth policy includes: when it belongs to the peak period of power generation, if

m is the total number of the electric vehicles with the demand urgency degree not less than the threshold value in the optical storage charging station, n is the total number of the electric vehicles in the optical storage charging station, m and n are positive integers, and the server sorts the demand urgency degree according to the sequence of the demand urgency degree₂Charging of an electric vehicle, wherein i₂Satisfies the following conditions:

P_totalis real-time power consumption, P_solarIs the real-time generated power. Wherein, EV₁，EV₂，…，EVi₂-1 maximum charging power P achievable_cCharging, EVi₂According to power

Illustratively, the sixth policy includes: when it belongs to the peak period of power generation, if

The server starts charging the charging piles connected with all the electric vehicles in the optical storage charging station, and the charging power is the maximum charging power P which can be realized by the server_cAnd simultaneously detecting the stored energy, and starting charging if the current SOC of the stored energy is less than the charging depth, wherein the charging power is

Illustratively, the seventh policy includes: when it belongs to the peak period of power generation, if

The server starts charging the charging piles connected with all the electric vehicles in the optical storage charging station, and the charging power is the maximum charging power P which can be realized by the server_cAnd simultaneously, detecting the stored energy, and if the current SOC of the stored energy is not less than the charging depth, the stored energy is not discharged and not charged.

In summary, according to the method provided in this embodiment, when the power consumption state type is the power generation peak time, the second power difference is the difference between the real-time power generation power and the real-time power consumption power, and the server may determine, according to the size of the second power difference, the number of electric vehicles providing the charging service, and determine whether to charge the stored energy, so as to improve the utilization rate of the real-time power generation power corresponding to the photovoltaic power generation.

Fig. 4 shows a flowchart of a charging control method for an optical storage charging station according to an exemplary embodiment of the present application, which may be applied to the server shown in fig. 1, and the method includes the following steps:

step 401, record data is acquired.

And step 402, predicting each load curve and data of the next day.

The prediction data includes: in the operating time of the optical storage charging station, the power curves of other loads except the charging pile and the total power consumption Q_totalThe data of the power curve are in the 15 minute granularity level; power curve and total generated energy Q of photovoltaic power generation_solarThe data of the power curve are in the 15 minute granularity level; charging total electric quantity Q of electric automobile_ev。

Step 403, calculating the reference power P of the next day_base。

P_base＝(Q_total-Q_solar+Q_ev)/T。

Step 404, collecting the charging requirement information.

The server collects the charging demand information of all electric vehicles in the light storage charging station.

At step 405, demand urgency is calculated and sequenced.

And the server calculates the demand urgency of each electric automobile according to the charging demand information and sorts the demand urgency from high to low.

Step 406, calculating the current equivalent power P_equ。

Equivalent power

Wherein, P_totalRepresenting real-time power usage; p_solarRepresenting real-time generated power;

and the sum of the power required by the electric automobile with the demand urgency degree not less than the threshold value to charge at the maximum charging power is represented.

Step 407, determine P_equWhether less than 0.

If P_equIf not less than 0, go to step 408; if P_equIf less than 0, then jump to step 418.

Step 408, judge P_equWhether or not to equal P_base。

If P_equIs not equal to P_baseThen, go to step 409; if P_equIs equal to P_baseThen it jumps to step 416.

Step 409, judge P_equWhether or not greater than P_base。

If P_equGreater than P_baseThen go to step 410; if P_equNot more than P_baseThen it jumps to step 414.

Step 410, determining that the current time belongs to the peak electricity utilization period.

Step 411, determine whether the stored energy satisfies the discharging condition.

If the stored energy meets the discharging condition, jumping to step 412; if the stored energy does not satisfy the discharging condition, go to step 413.

At step 412, a first policy is determined.

For the first strategy, reference is made to the above embodiments, which are not described herein again.

Step 413, determine the second policy.

For the second strategy, reference is made to the above embodiments, which are not described herein again.

And step 414, determining that the current time belongs to the electricity consumption valley time period.

Step 415, a fourth policy is determined.

The fourth strategy is referred to the above embodiment and will not be described herein.

Step 416, determine that the current time belongs to the peak period of the usage level.

At step 417, a third policy is determined.

For the third strategy, reference is made to the above embodiments, which are not described herein again.

Step 418, determining that the current time belongs to the peak period of power generation.

Step 419 determines whether the charging requirement is satisfied or not and the surplus power is still available.

That is, the judgment:

whether or not this is true. Wherein, P_totalIs real-time power consumption, P_solarIs the real-time power generation power,

the sum of the power required by all the electric vehicles in the optical storage charging station to charge with the maximum charging power.

If the surplus power does not exist, jumping to step 420; if there is still more power, go to step 421.

At step 420, a fifth policy is determined.

The fifth strategy is referred to the above embodiment, and is not described herein.

Step 421, determine whether the stored energy satisfies the charging condition.

If the stored energy meets the charging condition, jumping to step 422; if the stored energy does not satisfy the charging condition, go to step 423.

At step 422, a sixth policy is determined.

For the sixth strategy, reference is made to the above embodiments, which are not described herein again.

In step 423, a seventh policy is determined.

The seventh strategy is referred to the above embodiment and will not be described herein.

In summary, the method provided in this embodiment provides a charging control strategy that takes minimization of grid fluctuation as an optimization target on the premise of ensuring that the charging requirement of the electric vehicle is met. The method does not depend on a complex charging demand prediction model, can play a role in peak clipping and valley filling to a greater extent, improves the safety of power grid operation, and is easy to implement and popularize.

Fig. 5 is a block diagram illustrating a charging control apparatus of an optical storage charging station according to an exemplary embodiment of the present application, the apparatus including: an acquisition module 501 and a determination module 502;

the acquiring module 501 is configured to acquire charging demand information of an electric vehicle in an optical storage charging station;

a determining module 502, configured to determine a demand urgency level of the electric vehicle according to the charging demand information;

the acquiring module 501 is configured to acquire real-time power consumption of the optical storage charging station and real-time power generation power of photovoltaic in the optical storage charging station;

a determining module 502, configured to determine an equivalent power based on the real-time power consumption power, the real-time power generation power, and a first charging power sum, where the equivalent power is a power that needs to be obtained from a power grid by the optical storage charging station without considering energy storage in the optical storage charging station, and the first charging power sum is a power sum that is required for charging an electric vehicle that requires an urgency degree not less than a threshold at a maximum charging power;

the determining module 502 is configured to determine a charging control strategy of the optical storage charging station according to the equivalent power.

In an optional embodiment, the determining module 502 is configured to determine, according to a relationship between the equivalent power and the reference power, a power utilization state type corresponding to the current time, where the power utilization state type includes: the reference power is a reference value of the power which needs to be obtained from the power grid by the optical storage charging station; the determining module 502 is configured to determine, according to the power utilization state type, a charging control strategy corresponding to the power utilization state type.

In an optional embodiment, the determining module 502 is configured to determine that the type of the power utilization state corresponding to the current time is a power utilization peak time period when the equivalent power is greater than the reference power; the determining module 502 is configured to determine the charging control policy as a first policy when the power utilization state type is a peak power utilization period and the stored energy of the optical storage charging station meets a discharging condition, where the first policy includes: starting charging at the maximum charging power for the electric vehicle with the demand urgency degree not less than the threshold value, and starting discharging in the stored energy mode; the determining module 502 is configured to determine the charging control policy as a second policy when the power utilization state type is a peak power utilization period and the stored energy of the optical storage charging station does not satisfy the discharging condition, where the second policy includes: and starting charging the electric automobile with the demand urgency degree not less than the threshold value at the maximum charging power, and not discharging or charging the stored energy.

In an optional embodiment, the determining module 502 is configured to determine that the power utilization state type corresponding to the current time is a power utilization level peak period when the equivalent power is equal to the reference power; a determining module 502, configured to determine, when the power usage status type is a peak usage level period, that the charging control policy is a third policy, where the third policy includes: and starting charging the electric automobile with the demand urgency degree not less than the threshold value at the maximum charging power, wherein the stored energy of the optical storage charging station is not discharged or charged.

In an optional embodiment, the determining module 502 is configured to determine that the power utilization state type corresponding to the current time is a power utilization valley period when the equivalent power is smaller than the reference power and the equivalent power is greater than 0; a determining module 502, configured to determine, when the power usage status type is a power usage valley period, that the charging control policy is a fourth policy, where the fourth policy includes: to i₁Starting and charging an electric vehicle, and storing energy of the optical storage charging station without discharging and charging i₁Is a positive integer; wherein, in the fourth strategy, i₁The electric vehicles are front i after being ranked from high to low according to the emergency degree of the demand₁An electric vehicle.

In an optional embodiment, in the fourth strategy, the first power difference is greater than the second charging power sum, and the first power difference is less than the third charging power sum, and the second charging power sum is i₁Front i in an electric vehicle₁-the sum of the powers required for charging 1 electric vehicle at maximum charging power, the third charging power sum being i₁The method comprises the following steps that the sum of power required by charging of the vehicle electric automobile at the maximum charging power is obtained, and a first power difference value is a difference value between a reference power and an equivalent power; i.e. i₁Front i in an electric vehicle₁-1 electric vehicle charging power at maximum charging power, ith₁The charging power of the vehicle electric automobile is the difference between the first power difference and the second charging power sum.

In an optional embodiment, the determining module 502 is configured to determine that the power utilization state type corresponding to the current time is a power generation peak time when the equivalent power is less than 0; a determining module 502, configured to determine that the charging control policy is a fifth policy when the power usage status type is during a peak power generation period, the second power difference is greater than the first charging power sum, and the second power difference is less than the fourth charging power sum, where the fifth policy includes: to i₂Electric vehicle starts charging, and light stores up storage of charging stationCan not discharge nor charge i₂Is a positive integer; the determining module 502 is configured to determine that the charging control policy is a sixth policy when the power utilization state type is the peak time of power generation, the second power difference is greater than the fourth charging power sum, and the stored energy of the optical storage charging station satisfies the charging condition, where the sixth policy includes: starting charging all the electric automobiles, and starting charging in an energy storage way; the determining module 502 is configured to determine that the charging control policy is a seventh policy when the power utilization state type is a power generation peak time period, the second power difference is greater than the fourth charging power sum, and the stored energy of the optical storage charging station does not satisfy the charging condition, where the seventh policy includes: all the electric automobiles are started to be charged, and the stored energy is not discharged or charged; the fourth charging power sum is the power sum required by all electric vehicles in the optical storage charging station to charge at the maximum charging power, and the second power difference is the difference between the real-time power generation power and the real-time power utilization power; in the fifth strategy, i₂The electric vehicles are front i after being ranked from high to low according to the emergency degree of the demand₂An electric vehicle.

In an alternative embodiment, in the fifth strategy, the second power difference is greater than the fifth charging power sum, and the second power difference is less than the sixth charging power sum, the fifth charging power sum being i₂Front i in an electric vehicle₂-the sum of the powers required for charging 1 electric vehicle at maximum charging power, the sixth charging power sum being i₂The sum of the power required for charging the vehicle electric vehicle at the maximum charging power; i.e. i₂Front i in an electric vehicle₂-1 electric vehicle charging power at maximum charging power, ith₂And the charging power of the vehicle electric automobile is the difference between the second power difference and the fifth charging power sum.

In an optional embodiment, the charging requirement information includes: an expected departure time of the electric vehicle, and an expected electric quantity state of the electric vehicle when the electric vehicle departs; a determining module 502, configured to determine a first duration based on a desired away-time state of charge of the electric vehicle, where the first duration is a duration required to reach the desired away-time state of charge of the electric vehicle; a determining module 502, configured to determine a second duration based on the expected departure time of the electric vehicle, where the second duration is a duration from the expected departure time of the electric vehicle at the current time; the determining module 502 is configured to determine a quotient of the first duration and the second duration as a demand urgency of the electric vehicle.

In an optional embodiment, the obtaining module 501 is configured to obtain recorded data of each transformer in the optical storage charging station; a determining module 502, configured to determine, based on the recorded data, a first total amount of electricity, a second total amount of electricity, and an amount of power generation within the operating time, where the first total amount of electricity is a total amount of charging of electric vehicles in the optical storage charging station, the second total amount of electricity is a total amount of power consumption of other electric vehicles except the first total amount of electricity in the optical storage charging station, and the amount of power generation is a total amount of power generation of photovoltaic power in the optical storage charging station; a determining module 502, configured to determine a reference power based on the first total amount of electricity, the second total amount of electricity, the amount of electricity generated, and the operating time.

The application also provides a server, which comprises a processor and a memory, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to implement the charging control method for the optical storage charging station provided by the above method embodiments. It should be noted that the server may be a server as provided in fig. 6 below.

Referring to fig. 6, a schematic structural diagram of a server according to an exemplary embodiment of the present application is shown. Specifically, the method comprises the following steps: the server 600 includes a Central Processing Unit (CPU) 601, a system Memory 604 including a Random Access Memory (RAM) 602 and a Read-Only Memory (ROM) 603, and a system bus 605 connecting the system Memory 604 and the Central Processing unit 601. The server 600 also includes a basic Input/Output system (I/O) 606, which facilitates the transfer of information between devices within the computer, and a mass storage device 607, which stores an operating system 613, application programs 614, and other program modules 615.

The basic input/output system 606 includes a display 608 for displaying information and an input device 609 such as a mouse, keyboard, etc. for a user to input information. Wherein the display 608 and the input device 609 are connected to the central processing unit 601 through an input/output controller 610 connected to the system bus 605. The basic input/output system 606 may also include an input/output controller 610 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, an input/output controller 610 may also provide output to a display screen, a printer, or other type of output device.

The mass storage device 607 is connected to the central processing unit 601 through a mass storage controller (not shown) connected to the system bus 605. The mass storage device 607 and its associated computer-readable media provide non-volatile storage for the server 600. That is, the mass storage device 607 may include a computer-readable medium (not shown) such as a hard disk or a CD-ROM (Compact disk Read-Only Memory) drive.

Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other solid state Memory technology, CD-ROM, DVD (Digital Video Disc) or other optical, magnetic, or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 604 and mass storage device 607 described above may be collectively referred to as memory.

The server 600 may also operate in accordance with various embodiments of the present application by connecting to remote computers over a network, such as the internet. That is, the server 600 may be connected to the network 612 through the network interface unit 611 connected to the system bus 605, or may be connected to other types of networks or remote computer systems (not shown) using the network interface unit 611.

The memory further includes one or more programs, the one or more programs are stored in the memory, and the one or more programs include steps executed by the server for performing the charging control method for the optical storage charging station provided in the embodiment of the present application.

The present application further provides a computer-readable medium, which stores at least one instruction, where the at least one instruction is loaded and executed by the processor to implement the charging control method for an optical storage charging station according to the above embodiments.

Embodiments of the present application provide a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the charging control method of the optical storage charging station provided in the above-described alternative implementation manner.

Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in the embodiments of the present application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for controlling charging of an optical storage charging station, the method comprising:

2. The method of claim 1, wherein determining the charging control strategy for the optical storage charging station based on the equivalent power comprises:

determining the power utilization state type corresponding to the current moment according to the relation between the equivalent power and the reference power, wherein the power utilization state type comprises the following steps: at least one of a power utilization peak period, a power utilization valley period and a power generation peak period, wherein the reference power is a reference value of power required by the optical storage charging station to be obtained from a power grid;

and determining a charging control strategy corresponding to the power utilization state type according to the power utilization state type.

3. The method of claim 2,

determining the power utilization state type corresponding to the current moment according to the relation between the equivalent power and the reference power, wherein the determining comprises the following steps:

under the condition that the equivalent power is larger than the reference power, determining that the type of the power utilization state corresponding to the current moment is the power utilization peak period;

the determining a charging control strategy corresponding to the power utilization state type according to the power utilization state type includes:

when the power utilization state type is the power utilization peak period and the stored energy of the optical storage charging station meets the discharging condition, determining that the charging control strategy is a first strategy, wherein the first strategy comprises the following steps: starting charging the electric automobile with the demand urgency degree not less than a threshold value at the maximum charging power, and starting discharging the stored energy;

when the power utilization state type is the power utilization peak period and the stored energy of the optical storage charging station does not meet the discharging condition, determining that the charging control strategy is a second strategy, wherein the second strategy comprises the following steps: and starting charging the electric automobile with the demand urgency degree not less than the threshold value at the maximum charging power, and not discharging or charging the stored energy.

4. The method of claim 2,

under the condition that the equivalent power is equal to the reference power, determining the type of the power utilization state corresponding to the current moment as the peak time period of the power utilization level;

determining the charging control strategy to be a third strategy when the power usage status type is the power usage level peak period, wherein the third strategy comprises: and starting charging the electric automobile with the demand urgency degree not less than the threshold value at the maximum charging power, wherein the stored energy of the light storage charging station is not discharged or charged.

5. The method of claim 2,

determining the type of the power utilization state corresponding to the current moment as the power utilization valley time period under the condition that the equivalent power is smaller than the reference power and is larger than 0;

determining that the charging control strategy is a fourth strategy when the power utilization state type is the power utilization valley period, wherein the fourth strategy comprises: to i₁Starting and charging an electric vehicle, wherein the stored energy of the optical storage charging station is not discharged and is not charged, i₁Is a positive integer;

wherein, in the fourth strategy, the i₁The electric automobiles are ranked according to the requirement urgency degree from high to low₁An electric vehicle.

6. The method of claim 2,

under the condition that the equivalent power is less than 0, determining that the type of the power utilization state corresponding to the current moment is the power generation peak period;

when the type of the power utilization state is the power generation peak time, a second power difference value is larger than the first charging power sum, and the second power difference value is smaller than a fourth charging power sumDetermining the charge control strategy to be a fifth strategy in case of a sum of electric powers, the fifth strategy comprising: to i₂Starting and charging an electric vehicle, wherein the stored energy of the optical storage charging station is not discharged and is not charged, i₂Is a positive integer;

when the power utilization state type is the power generation peak time period, the second power difference value is greater than the fourth charging power sum, and the stored energy of the optical storage charging station meets a charging condition, determining that the charging control strategy is a sixth strategy, where the sixth strategy includes: starting charging all the electric automobiles, and starting charging the stored energy;

when the power utilization state type is the power generation peak time period, the second power difference value is greater than the fourth charging power sum, and the stored energy of the optical storage charging station does not meet the charging condition, determining that the charging control strategy is a seventh strategy, where the seventh strategy includes: starting and charging all the electric automobiles, wherein the stored energy is not discharged or charged;

the fourth charging power sum is the power sum required by all electric vehicles in the optical storage charging station to charge at the maximum charging power, and the second power difference is the difference between the real-time power generation power and the real-time power consumption power; in the fifth strategy, the i₂The electric automobiles are ranked according to the requirement urgency degree from high to low₂An electric vehicle.

7. The method according to any one of claims 1 to 6, wherein the charging demand information includes: a desired departure time of the electric vehicle, a desired state of charge of the electric vehicle when the electric vehicle departs;

the determining the demand urgency level of the electric vehicle according to the charging demand information includes:

determining a first time period based on the expected away-time state of charge of the electric vehicle, the first time period being a time period required to reach the expected away-time state of charge of the electric vehicle;

determining a second time period based on the expected departure time of the electric vehicle, wherein the second time period is a time period from the current time to the expected departure time of the electric vehicle;

and determining the quotient of the first time length and the second time length as the demand urgency of the electric automobile.

8. The method of any of claims 2 to 6, further comprising:

9. A charge control device of an optical storage charging station, the device comprising: the device comprises an acquisition module and a determination module;

the determining module is configured to determine an equivalent power based on the real-time power consumption power, the real-time power generation power, and a first charging power sum, where the equivalent power is a power that the optical storage charging station needs to obtain from a power grid without considering energy storage in the optical storage charging station, and the first charging power sum is a power sum that is required for charging, with a maximum charging power, an electric vehicle whose demand urgency degree is not less than a threshold;

10. A server, comprising a processor and a memory; the memory has stored therein at least one instruction, at least one program, a set of codes, or a set of instructions that is loaded and executed by the processor to implement the method of controlling charging of an optical storage charging station according to any one of claims 1 to 8.

11. A computer-readable storage medium storing at least one instruction for execution by a processor to implement a method of controlling charging of an optical storage charging station according to any one of claims 1 to 8.