CN112101735B - Electric vehicle charging scheduling system and control method - Google Patents
Electric vehicle charging scheduling system and control method Download PDFInfo
- Publication number
- CN112101735B CN112101735B CN202010838140.1A CN202010838140A CN112101735B CN 112101735 B CN112101735 B CN 112101735B CN 202010838140 A CN202010838140 A CN 202010838140A CN 112101735 B CN112101735 B CN 112101735B
- Authority
- CN
- China
- Prior art keywords
- charging
- time period
- electric vehicle
- electric
- automobile
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000009471 action Effects 0.000 claims abstract description 89
- 230000005611 electricity Effects 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 description 15
- 238000005457 optimization Methods 0.000 description 15
- 230000008569 process Effects 0.000 description 8
- 230000005540 biological transmission Effects 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 238000010248 power generation Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000008570 general process Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The application discloses electric automobile charging dispatch system and control method, electric automobile charging dispatch system includes information transceiver system and a plurality of electric automobile, wherein: for each electric automobile, the information transceiving system is used for transmitting power supply side information and automobile state information corresponding to the current time period to the electric automobile; the electric automobile is used for determining a charging action corresponding to the minimum charging cost of the electric automobile on the basis of meeting the charging demand of the electric automobile in the remaining parking time period according to the information of the power supply side and the automobile state information, taking the charging action as the charging action of the electric automobile in the current time period, calculating the charging cost corresponding to the electric automobile in the current time period according to the charging action, and determining the charging total cost corresponding to the electric automobile in the current time period according to the charging total cost corresponding to the electric automobile in the previous time period and the charging cost corresponding to the electric automobile in the current time period.
Description
Technical Field
The application relates to the technical field of automobile charging control, in particular to an electric automobile charging scheduling system and a control method.
Background
In the related art, reasonable charging distribution for electric vehicles is usually calculated by a charging scheduling center, and the general process of calculation by the charging scheduling center is as follows: the method comprises the steps of firstly obtaining the required charging amount, the starting charging time, the ending charging time, the maximum charging power and the rated power of a transformer of a charged electric automobile, then obtaining the peak power electricity price and the time-of-use electricity price corresponding to different time slots in a settlement period, obtaining the charging required power of different electric automobiles in different time slots according to the required charging amount, the starting charging time, the ending charging time, the maximum charging power and the rated power of the transformer in a charging station and combining the peak power electricity price and the time-of-use electricity price, and outputting power supply according to the charging required power so as to achieve reasonable charging distribution of the electric automobiles.
However, when the charging distribution is used for processing a large-scale scheduling optimization problem, the solving difficulty is high, the calculation time is long, the real-time requirement is not met, and the charging distribution of the electric vehicle cannot be better realized. Therefore, how to better realize the charging scheduling of the electric vehicle has become an urgent problem to be solved.
Disclosure of Invention
The present application aims to solve at least one of the technical problems in the related art to some extent.
To this end, a first objective of the present application is to provide an electric vehicle charging scheduling system. The system can process the random problem of the state information of the electric automobile and can process the large-scale charging scheduling optimization problem of the electric automobile.
The second objective of the present application is to provide an electric vehicle charging scheduling control method based on an electric vehicle charging scheduling system.
In order to achieve the above object, an embodiment of the present application provides an electric vehicle charging scheduling system, where the electric vehicle charging scheduling system includes an information transceiving system and a plurality of electric vehicles, where: for each electric automobile, the information transceiving system is used for transmitting power supply side information and automobile state information corresponding to the current time period to the electric automobile; the electric vehicle is used for determining a charging action corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle in the remaining parking time period according to the electric power supply side information and the vehicle state information, taking the charging action as the charging action of the electric vehicle in the current time period, calculating the charging cost corresponding to the electric vehicle in the current time period according to the charging action, and determining the total charging cost corresponding to the electric vehicle in the current time period according to the total charging cost corresponding to the electric vehicle in the last time period and the charging cost corresponding to the electric vehicle in the current time period, wherein the charging action is one of the following: charging and non-charging.
According to the electric vehicle charging scheduling system, the information transceiving system is used for sending power supply side information and vehicle state information corresponding to the current time period to the electric vehicle, and the electric vehicle is used for determining a charging action corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle in the remaining parking time period according to the power supply side information and the vehicle state information, taking the charging action as the charging action of the electric vehicle in the current time period, calculating the charging cost corresponding to the current time period according to the charging action, and determining the charging total cost corresponding to the current time period of the electric vehicle according to the charging total cost corresponding to the last time period of the electric vehicle and the charging cost corresponding to the current time period of the electric vehicle. The system sends the automobile state information of the electric automobile to the electric automobile through the information receiving and sending system, and the electric automobile performs the optimal calculation of the charging scheduling based on the automobile state information, so that the charging scheduling is performed in a distributed mode, the complexity of the optimal calculation can be reduced, the calculation cost is saved, and the large-scale optimization problem of the charging scheduling of the electric automobile can be solved.
According to an embodiment of the application, the electric vehicle is further configured to determine vehicle state information corresponding to the electric vehicle in a next time period according to the charging action in the current time period, and upload the vehicle state information corresponding to the electric vehicle in the next time period to the information transceiver system.
According to an embodiment of the application, the electric vehicle is specifically configured to: determining state representation information corresponding to the electric vehicle in the current time period according to the power supply side information and the vehicle state information; determining a charging strategy corresponding to the electric automobile when the charging cost of the electric automobile is minimum on the basis of meeting the charging demand of the electric automobile in the remaining parking time according to the state representation information; and determining a corresponding charging action according to the charging strategy.
According to an embodiment of the application, the electric vehicle charging scheduling system further comprises a power supply terminal for providing electric quantity for the electric vehicle, and the electric vehicle is further used for sending the charging action of the electric vehicle in the current time period to the power supply terminal; the power supply end is used for controlling charging of the electric automobile according to the charging action of the electric automobile in the current time period.
According to an embodiment of the application, the vehicle state information includes remaining capacity of the electric vehicle, remaining required charging time, remaining parking time and ranking information of the remaining capacity of the electric vehicle in the plurality of electric vehicles, and the electric power supply side information includes new energy electricity price information, new energy power generation amount and power grid purchase price information.
In order to achieve the above object, an embodiment of a second aspect of the present application provides a method for controlling electric vehicle charging scheduling performed by an electric vehicle charging scheduling system, where the method includes: receiving power supply side information and automobile state information corresponding to the current time period, which are sent by an information receiving and sending system; according to the information of the power supply side and the information of the automobile state, determining a charging action corresponding to the minimum charging cost of the electric automobile on the basis of meeting the charging demand of the electric automobile in the remaining parking time; taking the charging action as the charging action of the electric automobile in the current time period, and calculating the charging cost corresponding to the electric automobile in the current time period according to the charging action; determining the charging total cost of the electric automobile in the current time period according to the charging total cost of the electric automobile in the last time period and the charging cost of the electric automobile in the current time period, wherein the charging is one of the following: charging and non-charging.
According to the electric vehicle charging scheduling control method performed by the electric vehicle charging scheduling system of the embodiment of the application, the information transceiving system is used for sending the power supply side information and the vehicle state information corresponding to the current time period to the electric vehicle, the electric vehicle is used for determining the charging action corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle in the remaining parking time period according to the power supply side information and the vehicle state information, taking the charging action as the charging action of the electric vehicle in the current time period, calculating the charging cost corresponding to the current time period according to the charging action, and determining the charging total cost corresponding to the current time period of the electric vehicle according to the charging total cost corresponding to the last time period of the electric vehicle and the charging cost corresponding to the current time period of the electric vehicle. The system can process random problems based on automobile state information, the information receiving and transmitting system shares information with different electric automobiles, and the optimization calculation of the charging scheduling is performed in a distributed mode, so that the complexity of the optimization calculation can be reduced, the calculation cost can be saved, and the large-scale optimization problem of the charging scheduling of the electric automobiles can be processed.
According to an embodiment of the application, the method further comprises: and determining the automobile state information corresponding to the electric automobile in the next time period according to the charging action of the current time period, and uploading the automobile state information corresponding to the electric automobile in the next time period to the information receiving and transmitting system.
According to an embodiment of the application, the determining, according to the information on the power supply side and the information on the vehicle state, a charging action corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle in the remaining parking time period includes: determining state representation information corresponding to the electric vehicle in the current time period according to the power supply side information and the vehicle state information; according to the state representation information, determining a charging strategy corresponding to the electric automobile when the charging cost of the electric automobile is minimum on the basis of meeting the charging demand of the electric automobile in the remaining parking time; and determining a corresponding charging action according to the charging strategy.
According to an embodiment of the application, the method further comprises: and sending the charging action of the electric automobile in the current time period to a power supply end so that the power supply end performs charging control on the electric automobile based on the charging action of the electric automobile in the current time period.
According to an embodiment of the application, the vehicle state information includes remaining capacity of the electric vehicle, remaining required charging time, remaining parking time and ranking information of the remaining capacity of the electric vehicle in the plurality of electric vehicles, and the electric power supply side information includes new energy electricity price information, new energy power generation amount and power grid purchase price information.
Drawings
The above and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a block diagram of an electric vehicle charging scheduling system according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of an electric vehicle charging scheduling system according to an embodiment of the present application.
Fig. 3 is a flowchart of a charging schedule optimization algorithm of the electric vehicle charging schedule system according to the embodiment of the present application.
Fig. 4 is a flowchart of an electric vehicle charging schedule control method performed by the electric vehicle charging schedule system according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The following describes an electric vehicle charging scheduling system and a control method according to an embodiment of the present application with reference to the drawings.
Fig. 1 is a block diagram of an electric vehicle charging scheduling system according to an embodiment of the present application. The electric vehicle charging scheduling system 10 includes an information transceiving system 11 and a plurality of electric vehicles 12, wherein:
for each electric vehicle 12, the information transceiver system 11 is configured to transmit power supply side information and vehicle state information corresponding to the current time period to the electric vehicle 12;
the electric vehicle 12 is configured to determine, according to the information of the power supply side and the vehicle state information, a charging action corresponding to the minimum charging cost of the electric vehicle when the charging demand of the electric vehicle in the remaining parking time period is met, use the charging action as the charging action of the electric vehicle in the current time period, calculate a charging cost corresponding to the electric vehicle in the current time period according to the charging action, and determine a charging total cost corresponding to the electric vehicle in the current time period according to a charging total cost corresponding to the electric vehicle in the previous time period and a charging cost corresponding to the electric vehicle in the current time period, where the charging action is one of: charging and non-charging.
In one embodiment of the present application, the power supply side and the electric vehicle may be communicatively connected to the information transmission and reception system, so that the power supply side transmits the power supply side information in real time, and the electric vehicle transmits the vehicle state information to the information transmission and reception system in real time. The information transceiving system can be understood as an information collecting, processing and forwarding system.
The modes in which the power supply side and the electric vehicle can be communicatively connected to the information transmission and reception system include, but are not limited to, wired data communication and wireless data communication, wherein the wireless data communication includes, but is not limited to, 4G network communication and 5G network communication.
In the embodiment of the present application, the vehicle state information may include, but is not limited to, remaining electric quantity of the electric vehicle, remaining required charging time, remaining parking time, and ranking information of the remaining electric quantity of the electric vehicle in the plurality of electric vehicles, and the power supply side information includes information such as new energy price information, new energy generation amount, and power grid purchase price information.
For example, as shown in fig. 2, based on the communication between the power supply side 21 and the electric vehicle 12 and the information transmission and reception system 11, the power supply side 21 may transmit the power supply side 21 information to the information transmission and reception system 11, and the electric vehicle 12 may transmit the vehicle state information to the information transmission and reception system 11, and the information transmission and reception system 11 may receive the power supply side 21 information and the vehicle state information, and may transmit the power supply side 21 information and the vehicle state information to the electric vehicle 12.
The electric vehicle 12 receives the information of the power supply side 21 and the information of the vehicle status sent by the information transceiver system 11, determines a charging action corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle in the remaining parking time period according to the information of the power supply side 21 and the information of the vehicle status, takes the charging action as the charging action of the electric vehicle in the current time period, calculates the charging cost of the electric vehicle in the current time period according to the charging action, and determines the charging total cost of the electric vehicle in the current time period according to the charging total cost of the electric vehicle in the previous time period and the charging cost of the electric vehicle in the current time period.
Specifically, the electric vehicle 12 may determine the state indicating information corresponding to the electric vehicle 12 in the current time period according to the information of the power supply side 21 and the vehicle state information, then determine the charging policy corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle in the remaining parking time period according to the state indicating information, and further determine the corresponding charging action according to the charging policy.
That is, after receiving the information on the power supply side 21 and the vehicle state information sent by the information transceiving system 11, the electric vehicle 12 may determine the state indicating information corresponding to the current time period, may detect the charging amount of the electric vehicle in the remaining parking time period, and compare the charging amount in the remaining parking time period with the charging amount threshold in the remaining parking time period, and if the charging amount is greater than the charging amount threshold in the remaining parking time period, it may be understood that the charging demand of the electric vehicle in the remaining parking time period is satisfied, and therefore, the charging policy corresponding to the lowest charging cost of the electric vehicle may be taken as the corresponding charging action.
For example, the state representation information may include a remaining required charging period of the electric vehicle, a remaining parking period, and ranking information of remaining amounts of electricity of the electric vehicles among the plurality of electric vehicles.
In an embodiment of the present application, before executing the step of taking the charging policy corresponding to the minimum charging cost of the electric vehicle as the corresponding charging action, the electric vehicle 12 may first determine whether the remaining required charging time period is equal to zero, and if the remaining required charging time period is equal to a non-zero value, execute the step of determining, according to the information on the power supply side and the vehicle state information, the charging action corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle within the remaining parking time period.
It should be noted that, when the remaining required charging time period is equal to zero, it is understood that the electric vehicle will leave. And when the residual required charging time is equal to a non-zero value, the charging condition of the electric automobile is considered.
The electric vehicle charging scheduling system 10 further includes a power supply terminal 13 for providing electric quantity for the electric vehicle, when determining a corresponding charging action, the electric vehicle 12 may send the charging action in the current time period to the power supply terminal 13, and the power supply terminal 13 receives the charging action in the current time period, and may perform charging control on the electric vehicle according to the charging action in the current time period.
That is, when determining the corresponding charging operation, the electric vehicle 12 may transmit the charging operation in the current period to the power supply terminal 13, and when receiving the charging operation, the power supply terminal 13 may perform charging control on the electric vehicle in accordance with the charging operation.
For example, the power supply end 13 is a charging pile, it is determined that the charging action corresponding to the current time period is no charging, and when the charging pile obtains that the charging action corresponding to the current time period is no charging, the charging pile does not charge the electric vehicle in the current time period, which can be understood that the charging cost corresponding to the electric vehicle in the current time period is zero.
It should be noted that the current corresponding charging action may affect the remaining power of the electric vehicle in the next time period, so in an embodiment of the present application, when determining the corresponding charging action, the electric vehicle may further determine, according to the charging action in the current time period, vehicle state information corresponding to the electric vehicle 12 in the next time period, and upload the vehicle state information corresponding to the electric vehicle 12 in the next time period to the information transceiver system 11, so that the information transceiver system 11 receives the vehicle state information and optimizes the charging policy of the electric vehicle.
In one particular embodiment of the present application, as shown in FIG. 3, t is determined to be [0,T ]]The charging scheduling strategy optimization in the time period can be realized by initializing the Q factor of each electric automobile, setting the maximum learning step number L according to the calculation amount limit, initializing the iterated step number L =0 (S301), then setting t =0, and initializing the state of each electric automobile at the current moment
For example, the status s of each electric vehicle in the electric vehicle charging dispatching system i Note that, i is the number of the electric vehicle, and N vehicles in the system, i =1,2,3 … …, N, are considered.
The state information of the electric automobile comprises the remaining electric quantity of the electric automobile, the remaining required charging time, the remaining parking time and ranking information of the remaining electric quantity of the electric automobile in the plurality of electric automobiles, and the electric power supply side information comprises new energy electricity price information, new energy electricity generation amount and power grid purchase electricity price information.
Thus, the state of the electric vehicle i in the time period t can be represented as:
wherein, w t Is the new energy power generation amount in the t period,
and
respectively represent the new energy power price and the power grid power price in the period t, wherein,
when the power is generated by the new energy, the power generation is relatively cheap,
and respectively representing the residual electric quantity, the residual required charging time length, the residual parking time length and the ranking of the residual electric quantity in all the electric automobiles of the electric automobile i in the t period. In the above state variables, w t ，
Is provided by the power supply side.
After initializing the state of each electric vehicle, each electric vehicle selects a charging operation based on the state indicating information corresponding to the current period (S303):
the formula represents that in the current state
Then, an operation capable of minimizing the Q factor is selected as the charging operation in the current period. Wherein the content of the first and second substances,
for the control variable to be optimized, i.e. whether the current time period t is charged or not, when
When the time is up, the electric automobile i is charged in the t period; when in use
And (5) indicating that the electric automobile i is not charged in the period t.
Wherein, for the electric automobile i, the charging strategy thereof uses pi i Indicating, i.e. giving a state
Controlled variable
By strategy pi i The following are given:
then, the information transceiving system intensively transceives the system distribution information (S304), and then the state of the electric vehicle can be updated, that is, the vehicle state information corresponding to the electric vehicle in the next time slot is determined according to the charging operation in the current time slot (S305).
For example, according to the charging operation in the current time period, the remaining electric quantity of the electric vehicle in the next time period is affected
Where Δ t represents the length of the unit time period, the nextThe remaining required charging time of the electric vehicle in the time period is as follows:
the remaining required charging time of the electric automobile in the next period is as follows:
when the remaining charging period is 0, it indicates that the electric vehicle will leave, and the charging condition of the vehicle will not be considered in the next period.
In the embodiment of the application, after the automobile state information corresponding to the electric automobile in the next time period is determined, the charging cost in the current time period is calculated according to each electric automobile
For example, by optimizing the charging strategy of each electric vehicle, the goal of minimizing the discounted total cost of the electric vehicle is achieved, namely:
where γ is the discount factor, p t Represents the total cost of charging over the period t,
P e the charging power of an electric automobile is obtained. For the electric vehicle i, the charging cost is used
And (4) showing. When in use
When the temperature of the water is higher than the set temperature,
if not, then,
calculating the charging cost in the current time period according to each electric automobile
Then, each electric vehicle updates the Q factor (S307), wherein each charging strategy is optimized, a is the learning rate, and the value thereof is [0,1 ]]Within the range:
wherein, the learning rate of all electric automobiles is the same, and a generally takes a value of 0.01.
The specific implementation process of optimizing the respective charging strategies can be realized by the following modes: if the charging strategy of the electric automobile i is pi i With Q factor representing the current state
Take action
The corresponding discount charging cost:
at this time, T = T +1, and when T < T, a charging operation is selected based on the state representing information corresponding to the current period; when T = T, L = L +1, and when L < L, the state of each electric vehicle at the current time is initialized
And when L = L, completing the scheduling optimization of the electric automobile.
According to the electric vehicle charging scheduling system, the information transceiving system is used for sending power supply side information and vehicle state information corresponding to the current time period to the electric vehicle, and the electric vehicle is used for determining a charging action corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle in the remaining parking time period according to the power supply side information and the vehicle state information, taking the charging action as the charging action of the electric vehicle in the current time period, calculating the charging cost corresponding to the current time period according to the charging action, and determining the charging total cost corresponding to the current time period of the electric vehicle according to the charging total cost corresponding to the last time period of the electric vehicle and the charging cost corresponding to the current time period of the electric vehicle. The system can process random problems based on automobile state information, the information receiving and transmitting system shares information with different electric automobiles, and the optimization calculation of the charging scheduling is performed in a distributed mode, so that the complexity of the optimization calculation can be reduced, the calculation cost can be saved, and the large-scale optimization problem of the charging scheduling of the electric automobiles can be processed.
Fig. 4 is a flowchart of an electric vehicle charging schedule control method performed by the electric vehicle charging schedule system according to an embodiment of the present application. The method comprises the following steps:
and S410, receiving the power supply side information and the automobile state information corresponding to the current time period, which are transmitted by the information transmitting and receiving system.
In the embodiment of the application, the power supply side and the automobile can communicate with the transceiver system, so that the power supply side and the automobile can transmit the power supply side information and the automobile state information to the information transceiver system in real time, so that the information transceiver system can transmit the received power supply side information and the automobile state information to the electric automobile, and the electric automobile can receive the power supply side information and the automobile state information corresponding to the current time period transmitted by the information transceiver system
And S420, determining a charging action corresponding to the minimum charging cost of the electric automobile on the basis of meeting the charging demand of the electric automobile in the remaining parking time according to the information of the power supply side and the automobile state information.
Wherein the charging action comprises charging and non-charging.
That is, the electric vehicle receives the power supply side information and the vehicle state information corresponding to the current time period sent by the information transceiver system, and determines the charging operation corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle in the remaining parking time period according to the power supply side information and the vehicle state information.
The state representation information corresponding to the electric automobile in the current time period can be determined according to the information of the power supply side and the automobile state information, the charging strategy corresponding to the electric automobile when the charging cost of the electric automobile is minimum on the basis of meeting the charging demand of the electric automobile in the remaining parking time period is determined according to the state representation information, and the corresponding charging action is determined according to the charging strategy.
For example, after receiving the information on the power supply side and the vehicle status sent by the information transceiver system, the electric vehicle may determine status indication information corresponding to the current time period, for example, a remaining required charging time period, a remaining parking time period, and ranking information of remaining electric quantity of the electric vehicle in a plurality of electric vehicles, then may detect a charging amount of the electric vehicle in the remaining parking time period, and compare the charging amount in the remaining parking time period with a charging amount threshold in the remaining parking time period, and if the charging amount threshold in the remaining parking time period is greater than, it may be understood that a charging demand of the electric vehicle in the remaining parking time period is met, and therefore, a charging policy corresponding to a minimum charging cost of the electric vehicle may be used as a corresponding charging action.
In an embodiment of the present application, before executing the step of taking the charging policy corresponding to the minimum charging cost of the electric vehicle as the corresponding charging action, the electric vehicle 12 may first determine whether the remaining required charging time period is equal to zero, and if the remaining required charging time period is equal to a non-zero value, execute the step of determining, according to the information on the power supply side and the vehicle state information, the charging action corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle within the remaining parking time period.
It should be noted that, when the remaining required charging time period is equal to zero, it is understood that the electric vehicle will leave. And when the residual required charging time is equal to a non-zero value, the charging condition of the electric automobile is considered.
In an embodiment of the application, the corresponding charging action is determined, the vehicle state information corresponding to the electric vehicle in the next time period can be determined according to the charging action in the current time period, and the vehicle state information corresponding to the electric vehicle in the next time period is uploaded to the information transceiver system, so that the information transceiver system receives the vehicle state information corresponding to the electric vehicle in the next time period.
And S430, taking the charging action as the charging action of the electric automobile in the current time period, and calculating the charging cost of the electric automobile in the current time period according to the charging action.
That is, after the corresponding charging operation is determined, the charging operation may be regarded as the charging operation of the electric vehicle in the current time slot, and then the charging cost corresponding to the electric vehicle in the current time slot may be calculated based on the charging operation.
And S440, determining the total charging cost corresponding to the electric automobile in the current time period according to the total charging cost corresponding to the electric automobile in the last time period and the charging cost corresponding to the electric automobile in the current time period.
That is to say, the charging cost of the electric vehicle in the current time period is calculated, and the total charging cost of the electric vehicle in the previous time period and the charging cost of the electric vehicle in the current time period may be added to obtain the total charging cost of the electric vehicle in the current time period.
According to the electric vehicle charging scheduling control method performed by the electric vehicle charging scheduling system of the embodiment of the application, the information transceiving system is used for sending the power supply side information and the vehicle state information corresponding to the current time period to the electric vehicle, the electric vehicle is used for determining the charging action corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle in the remaining parking time period according to the power supply side information and the vehicle state information, taking the charging action as the charging action of the electric vehicle in the current time period, calculating the charging cost corresponding to the current time period according to the charging action, and determining the charging total cost corresponding to the current time period of the electric vehicle according to the charging total cost corresponding to the last time period of the electric vehicle and the charging cost corresponding to the current time period of the electric vehicle. The system can process random problems through automobile state information, the information receiving and transmitting system shares information with different electric automobiles, and the optimization calculation of the charging scheduling is performed in a distributed mode, so that the complexity of the optimization calculation can be reduced, the calculation cost can be saved, and the large-scale optimization problem of the charging scheduling of the electric automobiles can be processed.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without being mutually inconsistent.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer-readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (8)
1. The utility model provides an electric automobile scheduling system that charges, its characterized in that, electric automobile scheduling system that charges includes information transceiver system and a plurality of electric automobile, information transceiver system and a plurality of electric automobile communication connection, wherein:
for each electric automobile, the information transceiving system is used for sending power supply side information and automobile state information corresponding to a current time period to the electric automobile, wherein the automobile state information comprises the remaining required charging time length, the remaining parking time length and ranking information of the remaining electric quantity of the electric automobile in the plurality of electric automobiles;
the electric vehicle is used for judging whether the remaining required charging time length is equal to zero or not, if the remaining required charging time length is equal to a non-zero value, determining a charging action corresponding to the minimum charging cost of the electric vehicle on the basis of meeting the charging demand of the electric vehicle in the remaining parking time length according to the information of the power supply side and the information of the vehicle state, taking the charging action as the charging action of the electric vehicle in the current time period, calculating the charging cost corresponding to the electric vehicle in the current time period according to the charging action, and determining the charging total cost corresponding to the electric vehicle in the current time period according to the charging total cost corresponding to the electric vehicle in the previous time period and the charging cost corresponding to the electric vehicle in the current time period, wherein the charging action is one of the following: charging and not charging;
the electric automobile is further used for determining automobile state information corresponding to the electric automobile in the next time period according to the charging action of the current time period, and uploading the automobile state information corresponding to the electric automobile in the next time period to the information transceiving system;
after the vehicle state information corresponding to the electric vehicle in the next time period is determined, calculating the charging cost corresponding to the electric vehicle in the current time period according to the vehicle state information corresponding to the electric vehicle in the next time period, and optimizing the charging strategy of the electric vehicle to achieve the goal of minimizing the total discount cost of the electric vehicle, wherein the goal of minimizing the total discount cost of the electric vehicle is represented as:
pi is the charging strategy, gamma is the discount factor, p t The total cost of charging over the period t, where,
for new energy price of electricity, w t New energy generation amount p for t period e Is the charging power of an electric automobile, delta t is the length of a unit time period,
the price of the electricity of the power grid is,
for the charging cost of the electric vehicle i corresponding to the current time period t,
indicating that the electric vehicle i is charged during the period t,
indicating that the electric vehicle i is not charged in the time period t when
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
2. the electric vehicle charging scheduling system of claim 1, wherein the electric vehicle is specifically configured to: determining state representation information corresponding to the electric vehicle in the current time period according to the power supply side information and the vehicle state information;
according to the state representation information, determining a charging strategy corresponding to the electric automobile when the charging cost of the electric automobile is minimum on the basis of meeting the charging demand of the electric automobile in the remaining parking time;
and determining a corresponding charging action according to the charging strategy.
3. The electric vehicle charging scheduling system of claim 1, further comprising a power supply terminal for providing power to the electric vehicle, wherein the electric vehicle is further configured to send a charging action of the electric vehicle in a current time period to the power supply terminal;
the power supply end is used for carrying out charging control on the electric automobile according to the charging action of the electric automobile in the current time period.
4. The electric vehicle charge scheduling system of claim 1, wherein the vehicle status information further comprises a remaining charge of the electric vehicle.
5. An electric vehicle charging scheduling control method based on the electric vehicle charging scheduling system according to any one of claims 1 to 4, the method comprising:
receiving power supply side information and automobile state information corresponding to a current time period, wherein the automobile state information comprises residual required charging time, residual parking time and ranking information of the residual electric quantity of the electric automobiles in the plurality of electric automobiles;
judging whether the residual required charging time is equal to zero or not, if so, determining a charging action corresponding to the minimum charging cost of the electric automobile on the basis of meeting the charging demand of the electric automobile in the residual parking time according to the information of the power supply side and the automobile state information;
taking the charging action as the charging action of the electric automobile in the current time period, and calculating the charging cost corresponding to the electric automobile in the current time period according to the charging action;
determining the charging total cost of the electric automobile in the current time period according to the charging total cost of the electric automobile in the last time period and the charging cost of the electric automobile in the current time period, wherein the charging is one of the following: charging and not charging;
the method further comprises the following steps: determining automobile state information corresponding to the electric automobile in the next time period according to the charging action of the current time period, and uploading the automobile state information corresponding to the electric automobile in the next time period to the information transceiving system;
after the automobile state information corresponding to the electric automobile in the next time period is determined, the charging cost corresponding to the electric automobile in the current time period is calculated according to the automobile state information corresponding to the electric automobile in the next time period, the charging strategy of the electric automobile is optimized to achieve the goal of minimizing the total discount cost of the electric automobile, and the goal of minimizing the total discount cost of the electric automobile is represented as:
pi is the charging strategy, gamma is the discount factor, p t Is the total cost of charging in the period t, wherein,
for new energy price of electricity, w t New energy generation amount p for t period e Is the charging power of an electric automobile, delta t is the length of a unit time period,
the price of the electricity is the price of the power grid,
for the charging cost of the electric vehicle i corresponding to the current time period t,
indicating that the electric vehicle i is charged during the period t,
indicating that the electric vehicle i is not charged in the time period t when
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
6. the electric vehicle charging schedule control method according to claim 5, wherein the determining, based on the power supply side information and the vehicle state information, the charging action corresponding to the minimum charging cost of the electric vehicle on the basis of satisfying the charging demand of the electric vehicle within the remaining parking time period comprises:
determining state representation information corresponding to the electric vehicle in the current time period according to the power supply side information and the vehicle state information;
according to the state representation information, determining a charging strategy corresponding to the electric automobile when the charging cost of the electric automobile is minimum on the basis of meeting the charging demand of the electric automobile in the remaining parking time;
and determining a corresponding charging action according to the charging strategy.
7. The electric vehicle charging schedule control method of claim 5, characterized in that the method further comprises: and sending the charging action of the electric automobile in the current time period to a power supply end, so that the power supply end performs charging control on the electric automobile based on the charging action of the electric automobile in the current time period.
8. The electric vehicle charging schedule control method of claim 5 wherein the vehicle status information further includes a remaining charge of the electric vehicle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010838140.1A CN112101735B (en) | 2020-08-19 | 2020-08-19 | Electric vehicle charging scheduling system and control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010838140.1A CN112101735B (en) | 2020-08-19 | 2020-08-19 | Electric vehicle charging scheduling system and control method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112101735A CN112101735A (en) | 2020-12-18 |
| CN112101735B true CN112101735B (en) | 2022-12-06 |
Family
ID=73753989
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010838140.1A Active CN112101735B (en) | 2020-08-19 | 2020-08-19 | Electric vehicle charging scheduling system and control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112101735B (en) |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103633645B (en) * | 2013-11-28 | 2015-05-20 | 清华大学 | Electric automobile real-time charging method based on single electric automobile charging forecasting |
| CN106952004B (en) * | 2017-05-11 | 2021-01-08 | 杭州嘉畅科技有限公司 | Electric automobile community charging real-time optimization scheduling method |
| CN109217310A (en) * | 2018-10-25 | 2019-01-15 | 三峡大学 | A kind of orderly charge control method of electric car considering new energy consumption |
| CN110979085B (en) * | 2019-11-29 | 2021-12-14 | 深圳供电局有限公司 | Method, device and equipment for regulating and controlling charging of electric automobile |
-
2020
- 2020-08-19 CN CN202010838140.1A patent/CN112101735B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN112101735A (en) | 2020-12-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102484370B (en) | Methods for controlling charging stations, charging stations, low-voltage transformer substation and system thereof | |
| EP3713035B1 (en) | Control apparatus, power control system, control method, and storage medium having program stored thereon | |
| US10464434B2 (en) | Energy storage system, transportation unit, and method of controlling energy storage system | |
| US10414283B2 (en) | V2G system and charge/discharge control method based on an estimated power supply-demand state, a minimum trading unit of an amount of power, and a total amount of power secured for selling to a power system | |
| CN110303931B (en) | Electric automobile intelligent charging method suitable for V2G | |
| CN104011967B (en) | Electricity needs adjusts system, electricity needs adjusting apparatus and electricity needs method of adjustment | |
| US20130046411A1 (en) | Electric Vehicle Load Management | |
| US20110178959A1 (en) | Charge and discharge control device | |
| CN111605425B (en) | Method for calculating charging priority coefficient of electric vehicle to realize reasonable and ordered charging | |
| CN107074119A (en) | The demodulator device charged for intelligent electric vehicle | |
| CN110103766B (en) | Vehicle-based charge and discharge system and control method thereof | |
| US11843271B2 (en) | Power reception control method for power storage element and power reception control device | |
| US11807125B2 (en) | Method for optimally managing the charging of a fleet of electric vehicles | |
| US10525844B2 (en) | System and method for electric vehicle charging | |
| US20230127845A1 (en) | Method for aggregating group of electric vehicles based on electric vehicle flexibility, electronic device, and storage medium | |
| CN113997805A (en) | Charging control method and system of new energy automobile, vehicle-mounted terminal and medium | |
| KR101946059B1 (en) | Charge control system and method associated with energy storage system | |
| CN113597720A (en) | Power reception control method and power reception control device for power reception element | |
| US20160164329A1 (en) | Power control system, power control method and recording medium | |
| CN115257444A (en) | Charging method, device and system of electric vehicle | |
| US20150255984A1 (en) | Vehicle-to-grid system control based on state of health | |
| CN112101735B (en) | Electric vehicle charging scheduling system and control method | |
| CN115953011A (en) | Communication base station energy storage resource scheduling method and device | |
| JP2020181667A (en) | Power storage system, battery sales method and battery counting system | |
| CN116419864A (en) | Electric energy scheduling method, whole vehicle controller, battery management system, equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |