KR101886876B1 - Method and apparatus for controlling charging station of electrical vehicle applying microgrid - Google Patents

Abstract

The present invention relates to a control method and apparatus for an electric vehicle charging station using a distributed power source and a commercial power source in consideration of a charging time requested by a user.
A method of controlling an electric vehicle charging station of the present invention includes receiving a charging request time and a charging time of an electric vehicle; Generating a basic schedule for charging the electric vehicle; Generating a first charge schedule by applying a first algorithm to a base schedule to use a power amount per time slot supplied from a first distributed power source, which is a group that can not be controlled among the groups of distributed power sources, to a basic schedule; Selecting a second distributed power source, which is a group that can be controlled among the groups of distributed power sources, and a power source that is low in power supply cost among the commercial power sources; And if the selected power source is a commercial power source, generating a second charging schedule by applying a second algorithm that minimizes the power supply cost of the commercial power source to the first charging schedule, And charging the electric vehicle with electric power supplied from a distributed power source and a commercial power source.

Description

TECHNICAL FIELD [0001] The present invention relates to an electric vehicle charging station control method and apparatus using a micro grid,

The present invention relates to a control method and apparatus for an electric vehicle charging station to which a micro grid is applied. More specifically, the present invention relates to a method and apparatus for controlling an electric vehicle charging station using a distributed power source and a commercial power supply, .

With the recent changes in domestic and foreign conditions, interest in electric vehicles that do not emit carbon at all is increasing. Therefore, the electric vehicle can be the maximum load in the power system in the future. However, in the case of electric vehicles, it is not easy for a power supplier to establish a power plant expansion plan or a power supply plan due to the unequal demand pattern and load-specific nature.

Therefore, there is a need for power supply technology to cope with such a large flow load. To overcome this, there have been various attempts to implement an electric vehicle charging station as a micro grid. However, the renewable energy has an intermittent output characteristic, that is, it is impossible to control the output, so there is a limitation in charging the electric vehicle by effectively using the renewable energy.

In this regard, the name of the invention is "unmanned information terminal combined with an electric charging station using renewable energy ", Korean Patent Publication No. 2010-0036297 published on Apr. 07, 2010 exists.

An object of the present invention is to provide a micro grid type electric vehicle charging station and a method of operating the same, which can maximize the operating profit by minimizing the operating cost of the electric car charging station.

According to another aspect of the present invention, there is provided an electric vehicle charging station control method for generating a basic schedule for charging an electric vehicle based on a charging request time and a charging time of the electric vehicle, Generating a first charging schedule by applying a first algorithm to the base schedule so that a power amount per time slot supplied from a first distributed power source, which is a group that can not be controlled among the groups of distributed power sources, is used; Selecting a second distributed power source, which is a group that can be controlled among the groups of distributed power sources, and a power source that is low in power supply cost among the commercial power sources; And generating a second charging schedule by applying a second algorithm for minimizing a power supply cost of the commercial power supply to the first charging schedule if the power source selected in the selecting step is the commercial power source, And charging the electric vehicle with electric power supplied from the first distributed power source and the commercial power source according to a charging schedule.

Further, in the selection step, if the selected power source is the second distributed power source, the charging unit causes the electric vehicle to be charged by the power supplied from the first distributed power source and the second distributed power source according to the first charge schedule.

In addition, the step of applying the first algorithm to the basic schedule to generate the first charging schedule may include: estimating the amount of power by time slot supplied from the first distributed power source; Shifting a charging load in a time period in which a charging load of an electric vehicle is highest in a basic schedule to a time period in which unused electric power is the largest among electric powers supplied from a first distributed power source in consideration of a charging request time of the charging load; And generating a first charge schedule after repeating the prediction step and the shift step until there is no charge load to be shifted to the power per time unit supplied from the first distributed power source.

In addition, the step of applying the second algorithm to the first charge schedule to generate the first charge schedule may include analyzing the power cost by time of the commercial power source; Shifting a charging load in a time period in which a power cost of a commercial power source is highest in a charging load of an electric vehicle exceeding a power amount of the commercial power source supplied from a first distributed power source in a first charging schedule to a time period in which the power cost of the commercial power source is lowest; ; Generating a second charge schedule after repeating the analysis step and the shift step until no chargeable load is present in the charge load of the electric vehicle when the power cost of the commercial power source is lower than the time when the shiftable charge load is not available .

Further, the first distributed power source includes a power source using at least one of solar power generation and wind power generation.

The second distributed power source includes a power source using fossil fuel including diesel power, and a power source using renewable energy including at least one of a fuel cell and a rechargeable battery.

According to another aspect of the present invention, there is provided an electric vehicle charging station control apparatus for generating a basic schedule for charging an electric vehicle based on a charging request time and a charging time of the electric vehicle, A first algorithm applying unit for applying a first algorithm for maximizing the amount of power supplied from a first distributed power source, which is a group that can not be controlled among the groups of distributed power sources, to the basic schedule to generate a first charging schedule; A second distributed power source that is a group that can be controlled among groups of distributed power sources, and a power source that selects a power source that is low in power supply cost among the commercial power sources; And a second algorithm for applying a second algorithm for minimizing a power supply cost of the commercial power supply to the first charging schedule to generate a second charging schedule if the power selected by the selection unit is the commercial power, And a second algorithm application unit for charging the electric vehicle with electric power supplied from the first distributed power source and the commercial power source according to a charging schedule.

The selecting unit causes the charging unit to charge the electric vehicle with electric power supplied from the first distributed power source and the second distributed electric power source according to the first charge schedule if the selected power source is the second distributed power source.

The first algorithm application unit predicts the amount of electric power for each time slot supplied from the first distributed power source and sets the charging load in the time period when the charging load of the electric vehicle is the highest in the basic schedule to the first Repeats the prediction process and the shift process until there is no charge load to be shifted to the power for each time period supplied from the first distributed power source, unused power of power supplied from the distributed power source shifts to the most time period, 1 < / RTI >

The second algorithm application unit analyzes the power cost of the commercial power source by the time slot and determines whether the power cost of the commercial power source among the charging loads of the electric vehicle exceeding the power amount per time slot supplied from the first distributed power source Until the charge load of the highest time period is shifted to the time zone in which the power cost of the commercial power source is lowest and there is no charge load that can be shifted to the time zone in which the power cost of the commercial power source is lower, And the second charging schedule is generated after the process and the shifting process are repeated.

According to the control method and apparatus of the electric vehicle charging station of the present invention, the operating cost of the electric vehicle charging station can be minimized and the operating profit can be maximized. Further, since the charging load is shifted in the time zone in which the charging load is greatest through the first algorithm and the second algorithm, the peak load can be reduced.

1 is a flowchart illustrating a method of controlling an electric vehicle charging station according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating a step of generating a first charge schedule by applying a first algorithm of an electric vehicle charging station control method according to an embodiment of the present invention.
Figs. 3 to 5 are diagrams illustrating an example of a process of generating a first charge schedule by applying a first algorithm. Fig.
FIG. 6 is a flowchart illustrating a step of generating a second charge schedule by applying a second algorithm among electric vehicle charging station control methods according to an embodiment of the present invention.
7 is a diagram showing an example of a second charge schedule generated by applying the second algorithm.
8 is a block diagram showing an electric vehicle charging station according to an embodiment of the present invention.
9 is a block diagram showing a control apparatus of an electric vehicle charging station according to an embodiment of the present invention.

The present invention will now be described in detail with reference to the accompanying drawings. Hereinafter, a repeated description, a known function that may obscure the gist of the present invention, and a detailed description of the configuration will be omitted. Embodiments of the present invention are provided to more fully describe the present invention to those skilled in the art. Accordingly, the shapes and sizes of the elements in the drawings and the like can be exaggerated for clarity.

Hereinafter, a method of controlling an electric vehicle charging station according to an embodiment of the present invention will be described. 1 is a flowchart illustrating a method of controlling an electric vehicle charging station according to an embodiment of the present invention.

first. A step S110 of confirming the charge request time and the charge time information of the electric vehicle at the electric vehicle charging station is performed. The charging request time and the charging time information can be confirmed according to a general known method. Step S110 is repeated until a preset scheduling time. Here, the preset scheduling time is not limited to a specific time, but may be performed every predetermined period or whenever there is a charge request. In step S110, the time information is divided and stored for each electric vehicle whenever new time information is added.

At the scheduling time, a step S120 of generating a basic schedule for charging the electric vehicle is performed. The step S120 arranges the time information collected in step S110 according to the time when the user requests charging of the electric vehicle. This arrangement creates a basic schedule for charging the electric vehicle.

When the basic schedule is generated, a first charging schedule is generated (S130) by applying a first algorithm to the basic schedule. Further, the first algorithm is an algorithm for shifting the charging time of the electric vehicle shiftable in the basic schedule so that the electric power supplied from the first distributed power source can be utilized to the maximum. More specifically, the first algorithm includes a time zone in which the load amount of the charging station exceeds a predicted value of the amount of power supplied by the first distributed power source, a time zone in which the load amount of the charging station is less than a predicted value of the amount of power supplied by the first distributed power source . ≪ / RTI > This first algorithm has the following constraints.

A) Since charging of the electric vehicle must be completed within the charge request time, the shift must be made within the range of the charge request time.

B) In consideration of the load peak, the loads must be shifted in the order of load in the time zone satisfying the condition of A.

C) The region where the load of the charging station is less than the predicted value of the amount of power supplied by the first distributed power source should be shifted to the corresponding region in the descending order, while satisfying the restriction condition A.

Accordingly, through the execution of step S130, the peak load is reduced because the power through the first distributed power source is used to the maximum, and the charge load is shifted in the time zone in which the charge load is peak.

As used throughout this specification, the first distributed power source is a power source that utilizes at least one of wind power generation and solar power generation among a group of distributed power sources. Accordingly, the first distributed power source is a power source using a renewable energy source including the above-mentioned wind power generation and photovoltaic power generation, and it is a power source that can not control the generation amount. This is because the energy supplied by wind power generation or solar power generation can not always be constant depending on the characteristics of wind and sunlight. Here, distributed power sources include renewable energy sources such as fuel cells and rechargeable batteries as well as wind power generation and solar power generation, and power sources using fossil fuels are also included.

Thereafter, step S140 of selecting one of the second distributed power supply and the commercial power supply is performed. In step S140, it is a step of selecting a power source to be charged for a charging load of the electric vehicle exceeding a predicted value of the amount of electric power supplied by the first distributed power source. This takes into consideration the power supply cost of the commercial power supply and the second distributed power supply. Here, the second distributed power source includes a power source using fossil fuel, that is, a power source using diesel power generation or the like, and a power source using renewable energy, a rechargeable battery and a fuel cell. Unlike the first distributed power source, this is a power source capable of controlling power generation.

Thereafter, it is determined whether the selected power source is a commercial power source (S150). If the selected power source is a commercial power source, control is passed to step S160, otherwise, control is transferred to step S170.

If the selected power source is a commercial power source, a step S160 of applying a second algorithm to the first charge schedule to generate a second charge schedule is performed. Here, the second algorithm is an algorithm for analyzing the first charge schedule and shifting the power of the commercial power supply at a time when the power supply cost is expensive to a time period when the cost is low. At this time, as in the first algorithm, charging of the electric vehicle must be completed within the charge request time of the electric vehicle, so that the charge request time range must be considered.

After the execution of step S160, if the second charging schedule is generated, step S170 is performed to charge the electric vehicle at the charging section using the electric power supplied from the first distributed power source and the commercial power source according to the second charging schedule .

On the other hand, if the selected power source is the second distributed power source, step (S180) is performed in accordance with the first charge schedule to cause the charging section to charge the electric vehicle using power supplied from the first distributed power source and the second distributed power source.

2 through 5, the step of generating the first charge schedule by applying the first algorithm of the electric vehicle charging station control method according to the embodiment of the present invention will be described in more detail.

FIG. 2 is a flow chart showing more specifically the step of applying the first algorithm to generate the first charge schedule.

Referring to FIG. 2, a step S131 of predicting the amount of power by time slot supplied from the first distributed power source is performed. This prediction can be made based on the statistics of the amount of power supplied from the first distributed power source. These statistics can also be recorded in the database and subsequently updated.

After this prediction is performed, in the basic schedule for charging the electric vehicle, a charging load that is shifted in consideration of the charging time of the charging load in the time zone in which the charging load time of the electric vehicle is the highest is selected Step S132 is performed. As described with reference to FIG. 1, since charging of the electric vehicle must be completed within the charge request time, the charging request time for the charging load of the electric vehicle must be considered.

Thereafter, the selected charging load is shifted (S133) in which the unused power among the power amount of each time slot supplied from the first distributed power source is shifted to the time zone with the greatest amount of power.

After step S133 is performed, step S134 is performed to determine whether there is unused power among the power supplied from the first distributed power source. This is done to maximize the use of the power supplied from the first distributed power source which is less costly.

If it is determined that there is unused power in the determination step S134, control is transferred again to step S132. Thus, until the unused power is absent, a step of selecting the shifting charge load described above and shifting it from the first distributed power source to the unused time is repeatedly performed.

If it is determined in step S134 that there is no unused power, step S135 of generating a shifted basic schedule, i.e., a first charging schedule, is performed based on the preceding steps.

3 to 5 illustrate a process of generating a first schedule by applying a first algorithm to a basic schedule according to an embodiment of the present invention. Assume that there are five electric cars for charging at a car station. Let's also assume that each of the cars is EV1, EV2, EV3, EV4 and EV5.

Figure 3 shows the information received for car charging in the above-mentioned embodiment, Figure 4 shows the basic schedule generated based on the received information, and the first algorithm applied to this basic schedule, And Fig. 5 shows the generated first charge schedule.

Referring to FIG. 3, the charging request time and charging time of the electric vehicle confirmed through S110 of FIG. 1 and the predicted value of the electric power supply amount of the first distributed power source derived through step S131 of FIG. 2 are shown. Here, the charging request time of each of the electric vehicles is shown by a dotted arrow, the charging request time of the first car EV1 is EV1_req_time, the charging request time of the second car EV2 is EV2_req_time, , The charging request time of EV3 is EV3_req_time, the charging time of the fourth car EV4 is EV4_req_time, and finally the charging time of the fifth car EV5 is indicated as EV5_req_time.

The charging request time represents the time between the charging start time and the charging end time selected by the user of each vehicle. As can be seen from the drawings, the charge request time of the first vehicle is from 0:00 to 5:00, the charge request time of the second car is 1:00 to 9:00, the charge request time of the third car is 1:00 to 6:00 The charging time of the fourth vehicle is from 1:00 to 9:00, and the charging time of the fifth vehicle is from 3:00 to 8:00.

Further, the charging time of the electric vehicle represents the required charging amount, that is, the time spent to fully charge the vehicle or the time selected by the user of the car. In this example, the time required for charging the electric vehicle is 4 hours for the first car, 5 hours for the second car, 4 hours for the third car, 4 hours for the fourth car, and 5 hours for the fifth car .

That is, for example, in the case of the first car, it is found that although the user of the first car sets the charge request time to 5 hours, the actual time required to fully charge the first car is 4 hours.

Referring to FIG. 4, a basic schedule generated based on the previously received information is shown. In this basic schedule, it can be seen that there is an interval in which a part of the power supply amount of the first distributed power source is unused, that is, a period from 6:00 to 9:00. Therefore, the above-mentioned first algorithm is used to maximize the power supply amount of the first distributed power source.

As mentioned above with reference to FIG. 2, this first algorithm analyzes the charge load at the time of the highest electric charge load of the electric vehicle. In the case of FIG. 4, it can be seen that the charging load is the highest in the period from 3:00 to 4:00. Here, when performing the shift of the load, as mentioned above, the charge request time must be considered. Here, in the fifth electric vehicle, it can be seen that the charging request time is 5 hours and the charging time is also 5 hours, so that the charging load for the fifth electric vehicle can not be shifted. Therefore, the charging load of the fourth vehicle, which is the next charging load, is considered in a period from 3:00 to 4:00. The charging load of the fourth vehicle is shiftable, and since the charging request time is also until 9 o'clock, the charging load is shifted to the section from 8 to 9 o'clock. This is indicated by 1 in the figure. Thereafter, determination is made as to whether or not there is an unused section in step S134 described above with reference to Fig. 2, that is, the predicted power supply amount of the first distributed power source. In the case of this embodiment, since there is an unused section, the charge load in the time period in which the charging load of the electric vehicle is the highest is analyzed again. Here, the next highest load interval is from 1:00 to 2:00. Therefore, it is first determined whether the charging load of the fourth automobile in the section from 1 o'clock to 2 o'clock is shiftable. In this example, the charging load of the fourth vehicle is shiftable, so that the load is shifted to the section from 6 o'clock to 7 o'clock. This is indicated by 2 in the figure. Likewise, a shift indicated by 3 and 4 is performed.

After the shift indicated by 4 is performed, the unused section of the power amount by time slot supplied from the first distributed power source disappears, and the above-described iterative process is terminated. The schedule in which the shift operation is completed is hereinafter referred to as a first charge schedule.

The first charging schedule in which the shifting process is completed is shown in Fig. The display 1 shown in Fig. 5 is for illustrating the process of shifting according to the second algorithm below, and will be described below again.

6 and 7, the step of generating the second charge schedule by applying the second algorithm of the control method of the EV charging station according to the embodiment of the present invention will be described in more detail. As mentioned above, the step of generating this second charge schedule is a step performed when commercial power is used.

FIG. 6 is a flow chart showing more specifically the step of applying the second algorithm to generate the second charge schedule.

Referring to FIG. 6, the step S161 of analyzing the power cost by time of the commercial power source is performed. This analysis in step S161 may be accomplished by receiving time-by-hour power sale costs from the power supplier.

Then, in the first charge schedule, the step S162 of selecting a chargeable load which can be shifted in a time zone in which the power cost of the commercial power supply is the highest is selected in consideration of the request time of the charge load. As described with reference to FIG. 1, since charging of the electric vehicle must be completed within the charge request time, the charging request time for the charging load of the electric vehicle must be considered.

When the selection is completed, a step S163 of shifting the selected charging load to the time zone in which the power cost of the commercial power source is lowest is performed.

Thereafter, step S164 is performed in which it is determined whether there is a chargeable load shiftable to a time zone in which the power cost of the commercial power source is lower. This is because, as mentioned above, the supply cost of the commercial power is different according to the time of day, so that the commercial power is available at an affordable time.

If it is determined in step S164 that there is a charge load that can shift to a time zone in which the power cost of the commercial power source is lower, control is passed to step S162. As in the case of FIG. 1, the shifting charge load described above is selected and shifted to a time zone in which the power cost of the commercial power is lower, until there is no such shiftable charge load.

If it is determined in step S164 that no shiftable charge load exists, a step S165 of generating a shifted first charge schedule, i.e., a second charge schedule, is performed based on the preceding steps.

7, an example of a case where a commercial power source is used for charging an electric vehicle and a second algorithm is applied will be described. For reference, the first charging schedule shown in FIG. 5 described above is referred to again. In this example, it is assumed that the charging cost of the commercial power source is higher as the charging load is concentrated in a specific time period, and the electric power cost in the section from 5:00 to 6:00 is cheaper than the period from 2:00 to 3:00. It should be understood that the cost for the interval here can be variable depending on the setting of the power supplier.

To apply the second algorithm to the first charge schedule, first analyze the power cost of the commercial power source by time slot. Data on these costs can be obtained from the power supplier, as mentioned above.

Thereafter, the third vehicle in the period from 2:00 to 3:00 of the charging load exceeding the predicted power supply amount of the first distributed power source is selected. This is because, among the charge loads in the interval from 3:00 to 5:00 which exceed the maximum power supply predicted value of the first distributed power source in the first charge schedule, the charge load on the fifth vehicle is caused by the charge request time of this vehicle It is impossible to shift. Therefore, the charging load of the third vehicle from 2:00 to 3:00 is selected, and the charging data is shifted to the time zone from 5:00 to 6:00, which is lower in electric power supply cost per hour. This is indicated by 1 in Fig.

This shift is performed, and it is determined whether or not there is a shiftable charge load, so that the preceding selection and shift process is repeated if there is a shiftable charge load. If not, a shifted first charge schedule, i.e., a second charge schedule, is generated. In this embodiment, it is assumed that there is no further shiftable charge load other than the shift process indicated by 1 earlier. Therefore, after this shift, a second charge schedule is generated based on the preceding result.

Hereinafter, an electric vehicle charging station according to an embodiment of the present invention will be described with reference to FIGS. 8 and 9. FIG.

8 is a block diagram showing an electric vehicle charging station according to an embodiment of the present invention.

Referring to FIG. 8, an electric vehicle charging station according to an embodiment of the present invention includes a first distributed power source 11, a second distributed power source 12, a commercial power source 13, a switch 14, a charging unit 15, , And a control device (100) for controlling them. In FIG. 8, the dotted line represents actual power lines, and the solid line represents the flow of signals transmitted / received for control by the controller.

Here, the first distributed power source 11 is a power source using at least one renewable energy source such as wind power generation and solar power generation, the second distributed power source 12 is a power source using fossil fuel such as diesel power generation, It is a power source that uses renewable energy sources such as rechargeable batteries. As described above, the first distributed power source 11 is a power source difficult to control the power supply amount, and the second distributed power source 12 is a power source capable of controlling the power supply amount. The commercial power supply 13 is a power supply for supplying electric power from an external commercial power network.

The switch 14 receives a signal from the control device 100 and functions to pass power supplied from one of the second distributed power supply 12 and the commercial power supply 13 and the first distributed power supply 11. The charging unit 15 is a device used to charge an actual electric vehicle. Also, the charging unit 15 may include a separate input unit so that the user can input charging time information for the electric vehicle. A control device 100 of an electric vehicle charging station of the present invention for controlling such devices is described with reference to Fig.

9, the controller 100 of the electric vehicle charging station of the present invention includes a basic schedule generator 110, a first algorithm application unit 120, a selection unit 130, and a second algorithm application unit 140, . The functions for each configuration are described below.

First, the basic schedule generator 110 checks the charging time and charging time information of the electric vehicle at the electric vehicle charging station. In addition, the reception in the basic schedule generator 110 may be performed until a predetermined scheduling time. As described above, the predetermined scheduling time is not limited to a specific time, but may be performed every predetermined period or whenever a charge request is made. Here, when the predetermined scheduling time arrives, the basic schedule generator 110 generates a basic schedule based on the time information of the electric vehicles received previously.

Thereafter, the first algorithm application unit 120 applies the first algorithm to the basic schedule to generate the first charge schedule. Here, the process of generating the first charge schedule by applying the first algorithm has been described in detail with reference to FIGS. 2 to 5, and a description thereof will be omitted. The generated first charge schedule is shown in FIG. 5 as mentioned above.

Thereafter, the power to be charged is selected for the charging load of the electric vehicle exceeding the predicted value of the amount of electric power supplied from the first distributed power source by the selection unit 130. [ As mentioned earlier, this power supply includes a second distributed power supply and a commercial power supply, and in consideration of their power supply cost, a lower power supply is selected.

If the selected power source is the second distributed power source, the charging unit 15 charges the electric vehicle using the power supplied from the first distributed power source and the second distributed power source according to the first charging schedule do.

On the other hand, if the power source selected by the selection unit 130 is a commercial power source, control is transferred to the second algorithm application unit 140.

The second algorithm application unit 140 generates a second charge schedule by applying a second algorithm to the first charge schedule. Here, the process of generating the second charge schedule by applying the second algorithm has been described in detail with reference to FIGS. 5 to 7, and a description thereof will be omitted. When the second charging schedule is thus generated, the charging section 15 charges the electric vehicle using the power supplied from the first distributed power source and the commercial power source based on the generated second charging schedule.

As described above, an optimal embodiment has been disclosed in the drawings and specification. Although specific terms have been employed herein, they are used for purposes of illustration only and are not intended to limit the scope of the invention as defined in the claims or the claims. Therefore, those skilled in the art will appreciate that various modifications and equivalent embodiments are possible without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

100: control device 110: basic schedule generator
120: First algorithm application unit
130: selection unit 140: second algorithm application unit

Claims (12)

An electric vehicle charging station control method for generating a basic schedule for charging an electric vehicle based on a charging request time and a charging time of the electric vehicle,
Generating a first charging schedule by applying a first algorithm to the base schedule to use a power amount per time slot supplied from a first distributed power source, which is a group that can not be controlled among the groups of distributed power sources, to the basic schedule;
Selecting a second distributed power source, which is a group that can be controlled among the groups of distributed power sources, and a power source that is low in power supply cost among the commercial power sources; And
Wherein if the power source selected in the selection step is the commercial power source, a second algorithm for minimizing the power supply cost of the commercial power source is applied to the first charging schedule to generate a second charging schedule, And charging the electric vehicle with electric power supplied from the first distributed power source and the commercial power source according to a schedule. The method according to claim 1,
In the selecting step,
Characterized in that if the selected power source is the second distributed power source, the charging unit causes the electric vehicle to be charged with electric power supplied from the first distributed power source and the second distributed power source according to the first charge schedule, How to control a car station. The method according to claim 1,
Wherein applying the first algorithm to the base schedule to generate a first charge schedule comprises:
Estimating a power amount by time slot supplied from the first distributed power source;
A step of shifting a charging load in a time period in which the charging load of the electric vehicle is highest in the basic schedule to a time period in which unused electric power is most supplied among the electric power supplied from the first distributed power source in consideration of a charging request time of the charging load ; And
And repeating the prediction step and the shifting step until there is no charge load to be shifted to the power per time period supplied from the first distributed power source, and then generating the first charge schedule Controlling the charging station. The method according to claim 1,
Wherein applying the second algorithm to the first charging schedule to generate a second charging schedule comprises:
Analyzing the power cost of the commercial power source by time slot;
The charging load of the commercial power source in the time period when the power cost of the commercial power source is the highest among the charging loads of the electric vehicle exceeding the power amount per time period supplied from the first distributed power source in the first charging schedule, Shifting; And
The second charging schedule is generated after the analyzing step and the shifting step are repeated until there is no chargeable load shiftable to a time zone in which the power cost of the commercial power source is lower than the charging load of the electric vehicle Wherein the electric vehicle charging station control method comprises the steps of: The method according to claim 1,
The first distributed power source
And a power source using at least one of solar power generation and wind power generation. The method according to claim 1,
The second distributed power source
A power source using fossil fuel including diesel power generation, and a power source using renewable energy including at least one of a fuel cell and a rechargeable battery. An electric vehicle charging station control device for generating a basic schedule for charging an electric vehicle based on a charging request time and a charging time of the electric vehicle,
A first algorithm applying unit for applying a first algorithm for maximizing the amount of power supplied from a first distributed power source, which is a group that can not be controlled among groups of distributed power sources, to the basic schedule to generate a first charge schedule;
A second distributed power source that is a group that can be controlled among groups of distributed power sources, and a power source that selects a power source that is low in power supply cost among the commercial power sources; And
Wherein when the power source selected by the selection unit is the commercial power source, a second algorithm for minimizing the power supply cost of the commercial power source is applied to the first charging schedule to generate a second charging schedule, And a second algorithm application unit for charging the electric vehicle with electric power supplied from the first distributed power source and the commercial power source according to a schedule. 8. The method of claim 7,
Wherein the selection unit comprises:
Characterized in that if the selected power source is the second distributed power source, the charging unit causes the electric vehicle to be charged with electric power supplied from the first distributed power source and the second distributed power source according to the first charge schedule, Vehicle station control device. 8. The method of claim 7,
Wherein the first algorithm application unit comprises:
Predicts a power amount per time slot supplied from the first distributed power source,
The charging load in the time period in which the charging load of the electric vehicle is the highest in the basic schedule is shifted to the time zone in which the unused electric power of the electric power supplied from the first distributed power source is the largest in consideration of the charging request time of the charging load,
Wherein the control unit generates the first charge schedule after repeating the prediction process and the shift process until there is no charge load to be shifted to the power per time unit supplied from the first distributed power source. 8. The method of claim 7,
Wherein the second algorithm application unit comprises:
Analyzing the power cost of the commercial power source by time slot,
The charging load of the commercial power source in the time period when the power cost of the commercial power source is the highest among the charging loads of the electric vehicle exceeding the power amount per time period supplied from the first distributed power source in the first charging schedule, Shift,
The second charging schedule is generated after the analysis process and the shift process are repeated until there is no chargeable load shiftable to a time zone in which the power cost of the commercial power source is lower than the charge load of the electric vehicle Wherein the electric vehicle charging station control device comprises: 8. The method of claim 7,
The first distributed power source
And a power source using at least one of solar power generation and wind power generation. 8. The method of claim 7,
The second distributed power source
A power source using fossil fuel including diesel power, and a power source using renewable energy including at least one of a fuel cell and a rechargeable battery.

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