CN112700087A - Method and system for making ordered charging plan of electric automobile in regional scene - Google Patents

Method and system for making ordered charging plan of electric automobile in regional scene Download PDF

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CN112700087A
CN112700087A CN202011448292.7A CN202011448292A CN112700087A CN 112700087 A CN112700087 A CN 112700087A CN 202011448292 A CN202011448292 A CN 202011448292A CN 112700087 A CN112700087 A CN 112700087A
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charging
time
electric automobile
electric
area
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彭晓峰
仇新宇
许庆强
杨烨
王明才
肖宇华
张晓晴
吴阚
闫雪鹰
王祯
张冬梅
许畅
王峻
李培军
王洁
刘芳芳
王凌飞
吴帆
曾金羡
仲宇璐
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State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
State Grid Electric Vehicle Service Co Ltd
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State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
State Grid Electric Vehicle Service Co Ltd
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Abstract

The invention discloses a method and a system for making an electric automobile ordered charging plan in a regional scene, wherein the method comprises the following steps: acquiring charging demand characteristic data of an electric vehicle with a charging demand in a determined area under a set time span and other loads except the electric vehicle in the area; and in the time span, based on the electric automobile charging demand characteristic data of each electric automobile and other loads except the electric automobile in the region, establishing a charging plan for the electric automobile according to the principle that the total load tends to be gentle. The invention can charge the electric vehicles in the region in order, reduces the influence of the fluctuation of the load side on the power grid, and further realizes the purpose of peak clipping and valley filling.

Description

Method and system for making ordered charging plan of electric automobile in regional scene
Technical Field
The invention relates to the field of electric automobile charging, in particular to a method and a system for making an electric automobile ordered charging plan in a regional scene.
Background
The supply of global fossil energy is tightened, emission regulations are increasingly strict, and traditional fuel oil automobiles are gradually led to transit to electric automobiles using clean energy under the support of policies of multi-national governments. Compared with the traditional fuel oil vehicle, the electric vehicle takes electric energy as a power source, has the advantages of low pollution, high energy efficiency and the like, and gradually becomes an important development direction in the global transportation field. Electric vehicles are tried to be one of means for relieving the increasingly serious energy problems and environmental problems in many countries, and "Electric Vehicle Initiative (EVI)" published jointly in 2009 is intended to promote the development of electric vehicles all over the world and realize the knowledge sharing of policies and plans of electric vehicles. Taking china as an example, according to the statistics of International Energy Agency (IEA), by 2017, china is the country with the largest global electric vehicle holding amount, which has reached 300 thousands of vehicles, accounting for about 40% of the total amount of the world; more than half of the electric automobiles are sold in China, the sale quantity of the electric automobiles is far more than twice that of the electric automobiles in the United states, and the occupation rate of the electric automobiles in China reaches 2.2 percent of the automobile market in China.
With the gradual increase of the occupancy rate of the electric vehicle, the permeability rate of the electric vehicle in the regional scenes such as residential quarters gradually increases, and if the electric vehicle adopts a disordered charging (that is, the electric vehicle is charged by the user at any time, anywhere and randomly without guiding and controlling the charging time and the charging power), a higher peak load is generated when the permeability rate of the electric vehicle is higher, which causes great impact on a power supply system in the regional scenes and cannot meet the charging demand of the electric vehicle, so that disordered charging is not preferable.
The orderly charging means that under the premise of meeting the charging requirement of the electric automobile, the charging time sequence and power of the electric automobile are optimally adjusted by using the economic measure of peak-valley electricity price or the intelligent control measure. Compared with disordered charging, ordered charging is more reasonable and becomes a main strategy for charging the electric automobile in an area scene, so that the ordered charging plan is made for the electric automobile under the condition that the area scene is determined.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a method for making an ordered charging plan of an electric automobile in an area scene, which comprises the following steps:
acquiring charging demand characteristic data of an electric vehicle with a charging demand in a determined area under a set time span and other loads except the electric vehicle in the area;
and in the time span, based on the electric automobile charging demand characteristic data of each electric automobile and other loads except the electric automobile in the region, establishing a charging plan for the electric automobile according to the principle that the total load tends to be gentle.
Preferably, in the time span, based on the electric vehicle charging demand characteristic data of each electric vehicle and other loads except the electric vehicle in the area, a charging plan is made for the electric vehicle according to a principle that a total load tends to be gentle, and the method includes:
calculating the number of charging time periods occupied by each electric vehicle based on the charge state, the charging power and the set time interval of each electric vehicle;
determining the charging start-stop time of each electric automobile based on the start time of each electric automobile accessing the area and the end time of each electric automobile leaving the area;
distributing the charging time periods of the electric automobiles according to the principle that the total load tends to be gentle according to the charging start-stop time of each electric automobile and the time sequence power of other loads in the time span;
making a charging plan for the electric vehicles based on the charging time allocated to each electric vehicle;
the charging requirement is determined according to the state of charge of the electric automobile when the electric automobile is connected to the area and the state of charge of the electric automobile when the electric automobile is planned to leave the area.
Preferably, the allocating the charging periods of the electric vehicles according to the charging start-stop time and other load time series power of the electric vehicles in the time span according to the principle that the total load tends to be gentle includes:
setting the time span as time t, traversing the time t:
when an electric automobile is accessed into an area and the charging requirement of unfinished electric automobiles does not exist, distributing the charging time period of each electric automobile according to the time sequence based on the charging start-stop time of each electric automobile and the time sequence power of other loads according to the principle that the total load tends to be gentle;
when an electric automobile is accessed into an area and the charging requirement of unfinished electric automobiles exists, the charging time period of each electric automobile is distributed according to the time sequence based on the charging starting and stopping time of each electric automobile, the time sequence power of other loads and the charging total requirement of all electric automobiles in the current area according to the principle that the total load tends to be gentle.
Preferably, the allocating the charging time intervals of the electric vehicles according to time sequence based on the charging start-stop time of each electric vehicle and the time sequence power of other loads according to the principle that the total load tends to be gentle includes:
and distributing the charging time period required by the electric automobile just accessed into the region to the time period with the lowest other load sequence power in the charging starting and stopping time of the electric automobile.
Preferably, the allocating the charging time intervals of the electric vehicles according to the time sequence based on the charging start-stop time of each electric vehicle, the other load time sequence power and the total charging demand of all electric vehicles in the current area according to the principle that the total load tends to be gentle includes:
for the electric automobiles in the access area, acquiring the number of charging time periods required by the electric automobiles in each access area, and acquiring the number of the remaining required charging time periods for the electric automobiles without charging requirements;
sequencing based on the end time of each electric automobile leaving the area to obtain an electric automobile set, wherein each electric automobile in the electric automobile set comprises the start time of accessing the area, the end time of leaving the area and the required charging period number;
traversing each electric automobile in an electric automobile set, and distributing the charging time period required by the electric automobile to the time period with the lowest total load time sequence power in the charging starting and stopping time of the electric automobile;
the total load time sequence power comprises the total electric automobile in each moment and other loads except the electric automobile.
Preferably, the electric vehicle charging demand characteristic data includes:
a start time of an access zone scenario, an end time of a planned departure zone scenario, a battery capacity, a state of charge when accessing a zone scenario, a state of charge when planned departure zone scenario, and a charging power.
Based on the same inventive concept, the invention also provides a system for making an ordered charging plan of an electric vehicle under a regional scene, which comprises:
the acquisition module is used for acquiring the charging requirement characteristic data of the electric automobile with the charging requirement in a determined area under a set time span and other loads except the electric automobile in the area;
and the formulating module is used for formulating a charging plan for the electric automobile according to the principle that the total load tends to be gentle based on the electric automobile charging demand characteristic data of each electric automobile and other loads outside the electric automobile in the region in the time span.
Preferably, the formulating module includes:
the charging period number submodule is used for calculating the number of charging periods occupied by each electric vehicle based on the charge state, the charging power and the set time interval of each electric vehicle;
the charging start-stop time submodule is used for determining the charging start-stop time of each electric automobile based on the start time of each electric automobile accessing the area and the end time of each electric automobile leaving the area;
the distribution submodule is used for distributing the charging time periods of the electric automobiles according to the principle that the total load tends to be gentle according to the charging start-stop time of each electric automobile and the time sequence power of other loads in the time span;
the formulating submodule is used for formulating a charging plan for the electric automobiles on the basis of the charging time distributed to each electric automobile;
the charging requirement is determined according to the state of charge of the electric automobile when the electric automobile is connected to the area and the state of charge of the electric automobile when the electric automobile is planned to leave the area.
Preferably, the allocation submodule includes:
a setting unit configured to set the time span to a time t;
the first distribution unit is used for distributing the charging time interval of each electric automobile according to time sequence based on the charging start-stop time of each electric automobile and the time sequence power of other loads according to the principle that the total load tends to be gentle when the ergodic time t has an electric automobile access area and the charging requirement of unfinished electric automobiles does not exist;
and the second distribution unit is used for distributing the charging time periods of the electric automobiles according to the time sequence based on the charging starting and stopping time of each electric automobile, the time sequence power of other loads and the charging total demand of all the electric automobiles in the current area according to the principle that the total load tends to be gentle when the electric automobiles access the area and the charging demand of unfinished electric automobiles exists in the traversal time t.
Preferably, the first allocation unit is specifically configured to:
and distributing the charging time period required by the electric automobile just accessed into the region to the time period with the lowest other load sequence power in the charging starting and stopping time of the electric automobile.
Compared with the prior art, the invention has the beneficial effects that:
according to the technical scheme provided by the invention, the charging requirement characteristic data of the electric automobile with the charging requirement in a determined area under a set time span and other loads except the electric automobile in the area are obtained; and in the time span, based on the electric automobile charging demand characteristic data of each electric automobile and other loads except the electric automobile in the region, establishing a charging plan for the electric automobile according to the principle that the total load tends to be gentle. The invention can charge the electric vehicles in the region in order, reduces the influence of the fluctuation of the load side on the power grid, and further realizes the purpose of peak clipping and valley filling.
Drawings
FIG. 1 is a flow chart of a method for making an ordered charging plan of an electric vehicle in a regional scene according to the present invention;
FIG. 2 is an overall flow chart of a formulating method in an embodiment of the invention;
FIG. 3 is an example of a data set for 100 electric vehicles in an embodiment of the present invention;
FIG. 4 is an example of other load data in an embodiment of the present invention;
FIG. 5 illustrates an EV1 access area scenario in an embodiment of the present invention;
FIG. 6 is an EV3 access area scenario in an embodiment of the present invention;
FIG. 7 is an EV2 access area scenario in an embodiment of the present invention;
fig. 8 is a result of estimating the load-holding capacity in the embodiment of the present invention.
Detailed Description
For a better understanding of the present invention, reference is made to the following description taken in conjunction with the accompanying drawings and examples.
Example 1: as shown in fig. 1, the invention provides a method for making an ordered charging plan of an electric vehicle in a regional scene, which comprises the following steps:
step one, acquiring characteristic data of the charging requirement of an electric automobile with the charging requirement of a determined area under a set time span and other loads except the electric automobile in the area;
and step two, in the time span, based on the electric automobile charging demand characteristic data of each electric automobile and other loads except the electric automobile in the area, establishing a charging plan for the electric automobile according to the principle that the total load tends to be gentle.
After the regional scene, the time span, the time interval, the electric automobile data and other load data are determined, the ordered charging plan can be made for the electric automobile under the regional scene, the regional scene can be a residential area, a workplace, a market and the like, and the universality is high.
In this embodiment, a method for making an ordered charging plan of an electric vehicle in a regional scene includes the following steps:
the method comprises the following steps of firstly, acquiring electric vehicle data with a charging requirement of a determined region under a set time span and other loads except the electric vehicle in the region, wherein the method comprises the following steps:
s1-1: determining a region scene, a time span and a time interval of the electric automobile ordered charging plan;
s1-2: collecting electric vehicle data and other load data according to the area scene and the time span determined in the S1-1, preprocessing the data, processing the electric vehicle data to obtain required electric vehicle charging demand characteristic data, and generating an electric vehicle data set;
s1-3: and sequencing the electric vehicle data sets according to the time of the electric vehicle accessing the regional scene to obtain the sequenced electric vehicle data sets.
In this embodiment, the area scene that needs to be determined in step S1-1 may be an area scene such as 1 cell, or 1 office building location, or several cells, or several office building locations. The time span to be determined may be 1 day or several days, generally 1 cycle, and the cycle length needs to be determined according to the corresponding area scene. The time interval to be determined is typically 20 minutes, 30 minutes, 60 minutes, etc., which is determined in consideration of computational complexity and result accuracy.
In this embodiment, the data to be collected in step S1-2 includes two types of electric vehicle data and other load data, the collected electric vehicle data has no format requirement, and is processed by one or more algorithms of outlier rejection, missing value padding, and smoothing filtering to obtain electric vehicle charging demand characteristic data;
the method for removing the abnormal value comprises a threshold setting method, repeated redundant data deletion and the like; the method for filling the missing value comprises regression, fixed value filling and the like; the smoothing filtering method includes least square filtering, cubic spline interpolation and the like.
The other load data refers to all other load data except for the electric vehicle charging load in the regional scene.
In this embodiment, the electric vehicle charging demand characteristic data includes a start time of accessing the regional scene, an end time of planning to leave the regional scene, a battery capacity, an SOC when accessing the regional scene, an SOC when planning to leave the regional scene, and a charging power.
Each electric vehicle in the electric vehicle data set at S1-3 contains the above-mentioned 6 items of electric vehicle characteristic data.
In the embodiment, in S1-3, the electric vehicle data sets are sorted in the order of the start time of the electric vehicle access area scene, so as to reduce the algorithm time complexity.
Step two, in the time span, based on the starting time and the state of charge of each electric vehicle access region and other loads except the electric vehicle in the region, a charging plan is made for the electric vehicle according to the principle that the total load tends to be gentle, and the method comprises the following steps:
s1-4: traversing the time t according to the time span and the time interval determined in the S1-1;
s1-5: judging whether a new electric vehicle is accessed at the time t, if so, executing S1-6, otherwise, executing S1-7;
s1-6, under the premise of meeting the charging requirement of the electric automobile, formulating a charging plan of the electric automobile according to the principle of smoothing the total load area;
s1-7: if the charging plan exists under the time t, executing the charging plan, and if the charging plan does not exist, not executing the charging plan;
s1-8: and judging whether the traversal is finished, if not, continuing to loop from S1-5 to S1-7, and if so, outputting the ordered charging plan of the electric automobile under the corresponding time span under the area scene.
S1-6 in this embodiment includes:
s1-61: judging whether the unfinished charging requirement of the electric automobile accessed before exists after the time t, if so, executing S1-62, otherwise, executing S1-63;
s1-62: on the premise of meeting the charging requirement of the electric automobile, according to the principle that the total load tends to be gentle, and according to the priority level, a charging plan of the electric automobile which is newly accessed and the electric automobile which is accessed before and is not subjected to the charging requirement is rearranged;
s1-63: on the premise of meeting the charging requirement of the electric automobile, a charging plan of newly accessing the electric automobile is arranged according to the principle that the total load tends to be gentle.
Steps S1-62 in this embodiment specifically include:
s1-621: for the newly accessed electric automobile, calculating the number of charging time periods required by each automobile according to the required electric quantity and the charging power; for the electric automobile which is accessed before and does not finish the charging requirement, directly obtaining the number of the residual required charging time periods;
s1-622: sequencing according to the ending time of each vehicle leaving area (namely the priority of the electric vehicles is high and low), wherein the earlier the ending time is, the higher the sequencing position is, the sorted electric vehicle set is obtained, and each electric vehicle in the set comprises the starting time of a connected area, the ending time of a leaving area and the number of required charging time periods;
s1-623: traversing each electric vehicle according to the electric vehicle set in sequence;
s1-624: for each electric automobile, arranging a plurality of charging time periods of each electric automobile in a time span of an access area of the electric automobile, wherein the time period is the time period with the lowest total load (the sum of other loads and the existing electric automobile load), namely the principle that the total load tends to be gentle;
s1-625: and ending the traversal.
In this embodiment, steps S1-63 specifically include:
s1-631: calculating the charging requirement of the newly accessed electric automobile, and calculating the number of charging time periods required by each automobile according to the required electric quantity and the charging power;
s1-632: arranging a plurality of charging time periods required by the electric vehicle charging system in a time span of the access area of the electric vehicle, wherein the time period with the lowest total load (the sum of other loads and the existing electric vehicle load) is a principle that the total load tends to be gentle.
The number of charging periods in the embodiment is calculated according to the charge state, the charging power, the battery capacity and the set time interval of each electric vehicle; the effect of the charging capacity on the charging period data is due to: when the SOC is required to reach 0.8, the charging requirements are different due to different electric quantities required by different battery capacities of the electric vehicle, and accordingly, more charging periods with large battery capacities are required.
The method provided by the invention has the advantages of simple structure and small redundancy, so the time complexity is low.
The present embodiment specifically describes the method provided by the present invention by taking a certain office location as an example, as shown in fig. 2:
s1: determining that a certain office place is a regional scene, the time span is 24h, and the time interval is 0.5 h;
s2: the charging requirements of about 100 electric vehicles in the office are collected, the processed charging requirement data set of the electric vehicles is shown in fig. 3, and other load data is shown in fig. 4;
s3: sequencing the charging demand data sets of the electric vehicles according to the starting time of the characteristic access scene;
s4: traversing from the time 00:00, and traversing once every 10min, wherein the traversing time is t;
s5: judging whether a new electric vehicle is accessed at the time t, if so, executing S6, and if not, executing S7;
s6: on the premise of meeting the charging requirement of the electric automobile, a charging plan of the electric automobile is formulated according to the principle of smoothing the total load area;
because the step is complex, for convenience of understanding, the principle that 3 of 100 vehicles show a gentle total load area and the priority relationship of charging of electric vehicles are selected, as shown in fig. 5, 3 electric vehicles are provided in total, the charging power is 7kw, the time interval is 0.5h, that is, the length of 1 charging period is 0.5h, the EV1 requires 6 charging periods in total, the EV2 requires 7 charging periods in total, and the EV3 requires 5 charging periods in total. At this time, the time t traverses to the position shown in the figure, the first electric vehicle accesses the regional scene, 6 charging time periods of the electric vehicle of the EV1 are allocated to the charging time period with the lowest total load (the total load is the sum of other loads and the electric vehicle load, and when there is no electric vehicle load, the total load is other loads) in the EV1 stay time range, and a new total load curve is formed after allocation is completed.
As shown in fig. 6, when t traverses to the time point shown in the figure, the EV3 starts to access the regional scene, the EV3 needs 5 charging periods in total, the EV1 also needs 4 charging periods to be charged, so 9 charging periods need to be allocated for charging in total, and the EV3 has higher priority because the departure time of the EV3 is earlier than the departure time of the EV1, so that the charging period of the EV3 is prioritized to the position with the lowest total load for charging, a new total load curve is formed, and the remaining charging period of the EV1 is scheduled to the position with the lowest new total load curve for charging.
As shown in fig. 7, t traverses to the position shown in the figure, and the EV2 starts accessing the regional scene, because the departure time of the EV2 is the latest and therefore the priority is the lowest, and the charging period of the EV2 is directly allocated to the time period with the lowest total load without rescheduling the charging plans of the other two electric vehicles. The time slices in fig. 5, 6 and 7 in this embodiment are the charging periods.
S7: executing if the charging plan exists, and not executing if the charging plan does not exist;
s8: and ending traversal, outputting a result, and as shown in fig. 8, adding a load graph of disordered charging of electric vehicles as a comparison, and as can be seen, in the area scene, the peak load of disordered charging of 100 electric vehicles already exceeds the distribution rated capacity in the area scene, while the peak value of ordered charging load of 100 electric vehicles is about 175kw and is not close to the distribution rated capacity of 250kw, so that the area scene has the capability of accommodating ordered charging load of at least 100 electric vehicles, the battery capacity of each 100 electric vehicle is 60kwh, and the charging power is 7 kw.
When the area scene is determined, the algorithm can excavate the ordered charging characteristics of the electric automobile in the area scene through data, and the method can have good adaptability to the determined area scene and make a charging plan for the electric automobile in the area.
The charging plan formulated by the method can be finished by traversing for many times, and the sequential charging load acceptance capability of a certain number of electric vehicles in a certain region under a set time span is estimated and determined, wherein the acceptance capability comprises the comparison of the sequential charging load distribution and the distribution and transformation rated capacity under a region scene, the number of the electric vehicles accepted at least by the region scene, the corresponding battery capacity and charging power thereof, and the sequential charging load peak value of the electric vehicles.
The total load distribution condition of the electric automobiles with different scales and different types accessed in the determined area scene can be visually seen through the formulated charging plan, so that the load acceptance capacity in the determined area scene is evaluated, the electric automobiles in the area scene are managed, for example, the quantity of the electric automobiles entering the area scene is controlled according to the load acceptance capacity in the area scene, the charging electricity price can be formulated, and the electric automobile users are encouraged to charge in the total load valley period.
Example 2: based on the same inventive concept, the invention also provides a system for making an ordered charging plan of an electric vehicle under a regional scene, which comprises:
the acquisition module is used for acquiring electric vehicle data with a charging requirement in a determined area under a set time span and other loads except the electric vehicle in the area;
and the formulating module is used for formulating a charging plan for the electric automobile according to the principle that the total load tends to be gentle based on the starting time and the charge state of each electric automobile connected to the region and other loads except the electric automobile in the region in the time span.
The formulation module in an embodiment includes:
the charging period number submodule is used for calculating the number of charging periods occupied by each electric vehicle based on the charge state, the charging power and the set time interval of each electric vehicle;
the charging start-stop time submodule is used for determining the charging start-stop time of each electric automobile based on the start time of each electric automobile accessing the area and the end time of each electric automobile leaving the area;
the distribution submodule is used for distributing the charging time periods of the electric automobiles according to the principle that the total load tends to be gentle according to the charging start-stop time of each electric automobile and the time sequence power of other loads in the time span;
the formulating submodule is used for formulating a charging plan for the electric automobiles on the basis of the charging time distributed to each electric automobile;
the charging requirement is determined according to the state of charge of the electric automobile when the electric automobile is connected to the area and the state of charge of the electric automobile when the electric automobile is planned to leave the area.
In an embodiment, the allocation submodule includes:
a setting unit configured to set the time span to a time t;
the first distribution unit is used for distributing the charging time interval of each electric automobile according to time sequence based on the charging start-stop time of each electric automobile and the time sequence power of other loads according to the principle that the total load tends to be gentle when the ergodic time t has an electric automobile access area and the charging requirement of unfinished electric automobiles does not exist;
and the second distribution unit is used for distributing the charging time periods of the electric automobiles according to the time sequence based on the charging starting and stopping time of each electric automobile, the time sequence power of other loads and the charging total demand of all the electric automobiles in the current area according to the principle that the total load tends to be gentle when the electric automobiles access the area and the charging demand of unfinished electric automobiles exists in the traversal time t.
In this embodiment, the first allocation unit is specifically configured to:
and distributing the charging time period required by the electric automobile just accessed into the region to the time period with the lowest other load sequence power in the charging starting and stopping time of the electric automobile.
In this embodiment, the second allocating unit is specifically configured to:
for the electric automobiles in the access area, acquiring the number of charging time periods required by the electric automobiles in each access area, and acquiring the number of the remaining required charging time periods for the electric automobiles without charging requirements;
sequencing based on the end time of each electric automobile leaving the area to obtain an electric automobile set, wherein each electric automobile in the electric automobile set comprises the start time of accessing the area, the end time of leaving the area and the required charging period number;
traversing each electric automobile in an electric automobile set, and distributing the charging time period required by the electric automobile to the time period with the lowest total load time sequence power in the charging starting and stopping time of the electric automobile;
the total load time sequence power comprises the total electric automobile in each moment and other loads except the electric automobile.
The system can be used for orderly charging the electric automobiles in the region, reduces the influence of the fluctuation of the load side on a power grid, and further achieves the purposes of peak clipping and valley filling.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.

Claims (10)

1. A method for making an ordered charging plan of an electric automobile in a regional scene is characterized by comprising the following steps:
acquiring charging demand characteristic data of an electric vehicle with a charging demand in a determined area under a set time span and other loads except the electric vehicle in the area;
and in the time span, based on the electric automobile charging demand characteristic data of each electric automobile and other loads except the electric automobile in the region, establishing a charging plan for the electric automobile according to the principle that the total load tends to be gentle.
2. The method of claim 1, wherein the step of making a charging plan for the electric vehicle according to a principle of smoothing the total load based on the electric vehicle charging demand characteristic data of each electric vehicle and other loads except the electric vehicles in the area in the time span comprises:
calculating the number of charging periods occupied by each electric vehicle based on the state of charge, the charging power, the battery capacity and the set time interval of each electric vehicle;
determining the charging start-stop time of each electric automobile based on the start time of each electric automobile accessing the area and the end time of each electric automobile leaving the area;
distributing the charging time periods of the electric automobiles according to the principle that the total load tends to be gentle according to the charging start-stop time of each electric automobile and the time sequence power of other loads in the time span;
making a charging plan for the electric vehicles based on the charging time allocated to each electric vehicle;
the charging requirement is determined according to the state of charge of the electric automobile when the electric automobile is connected to the area and the state of charge of the electric automobile when the electric automobile is planned to leave the area.
3. The method of claim 2, wherein the distributing charging periods of the electric vehicles according to the charging start-stop time and other load time sequence power of the electric vehicles in the time span according to the principle of making the total load smooth comprises:
setting the time span as time t, traversing the time t:
when an electric automobile is accessed into an area and the charging requirement of unfinished electric automobiles does not exist, distributing the charging time period of each electric automobile according to the time sequence based on the charging start-stop time of each electric automobile and the time sequence power of other loads according to the principle that the total load tends to be gentle;
when an electric automobile is accessed into an area and the charging requirement of unfinished electric automobiles exists, the charging time period of each electric automobile is distributed according to the time sequence based on the charging starting and stopping time of each electric automobile, the time sequence power of other loads and the charging total requirement of all electric automobiles in the current area according to the principle that the total load tends to be gentle.
4. The method of claim 3, wherein the distributing the charging periods of the electric vehicles according to time sequence based on the charging start-stop time and other load time sequence power of the electric vehicles according to the principle of making the total load smooth comprises:
and distributing the charging time period required by the electric automobile just accessed into the region to the time period with the lowest other load sequence power in the charging starting and stopping time of the electric automobile.
5. The method of claim 3, wherein the step of distributing the charging periods of the electric vehicles according to the time sequence based on the charging start-stop time of each electric vehicle, the other load time sequence power and the charging total demand of all electric vehicles in the current area according to the principle of smoothing the total load comprises the following steps:
for the electric automobiles in the access area, acquiring the number of charging time periods required by the electric automobiles in each access area, and acquiring the number of the remaining required charging time periods for the electric automobiles without charging requirements;
sequencing based on the end time of each electric automobile leaving the area to obtain an electric automobile set, wherein each electric automobile in the electric automobile set comprises the start time of accessing the area, the end time of leaving the area and the required charging period number;
traversing each electric automobile in an electric automobile set, and distributing the charging time period required by the electric automobile to the time period with the lowest total load time sequence power in the charging starting and stopping time of the electric automobile;
the total load time sequence power comprises the total electric automobile in each moment and other loads except the electric automobile.
6. The method of claim 2, wherein the electric vehicle charging demand characterization data comprises:
a start time of an access zone, an end time of a planned departure zone scenario, a battery capacity, a state of charge when accessing a zone scenario, a state of charge when planned departure zone scenario, and a charging power.
7. The utility model provides an electric automobile's orderly charging plan system under regional scene which characterized in that includes:
the acquisition module is used for acquiring the charging requirement characteristic data of the electric automobile with the charging requirement in a determined area under a set time span and other loads except the electric automobile in the area;
and the formulating module is used for formulating a charging plan for the electric automobile according to the principle that the total load tends to be gentle based on the electric automobile charging demand characteristic data of each electric automobile and other loads outside the electric automobile in the region in the time span.
8. The system of claim 7, wherein the formulating module comprises:
the charging period number submodule is used for calculating the number of charging periods occupied by each electric vehicle based on the charge state, the charging power and the set time interval of each electric vehicle;
the charging start-stop time submodule is used for determining the charging start-stop time of each electric automobile based on the start time of each electric automobile accessing the area and the end time of each electric automobile leaving the area;
the distribution submodule is used for distributing the charging time periods of the electric automobiles according to the principle that the total load tends to be gentle according to the charging start-stop time of each electric automobile and the time sequence power of other loads in the time span;
the formulating submodule is used for formulating a charging plan for the electric automobiles on the basis of the charging time distributed to each electric automobile;
the charging requirement is determined according to the state of charge of the electric automobile when the electric automobile is connected to the area and the state of charge of the electric automobile when the electric automobile is planned to leave the area.
9. The system of claim 8, wherein the assignment submodule comprises:
a setting unit configured to set the time span to a time t;
the first distribution unit is used for distributing the charging time interval of each electric automobile according to time sequence based on the charging start-stop time of each electric automobile and the time sequence power of other loads according to the principle that the total load tends to be gentle when the ergodic time t has an electric automobile access area and the charging requirement of unfinished electric automobiles does not exist;
and the second distribution unit is used for distributing the charging time periods of the electric automobiles according to the time sequence based on the charging starting and stopping time of each electric automobile, the time sequence power of other loads and the charging total demand of all the electric automobiles in the current area according to the principle that the total load tends to be gentle when the electric automobiles access the area and the charging demand of unfinished electric automobiles exists in the traversal time t.
10. The system of claim 9, wherein the first allocation unit is specifically configured to:
and distributing the charging time period required by the electric automobile just accessed into the region to the time period with the lowest other load sequence power in the charging starting and stopping time of the electric automobile.
CN202011448292.7A 2020-12-09 2020-12-09 Method and system for making ordered charging plan of electric automobile in regional scene Pending CN112700087A (en)

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Application Number Priority Date Filing Date Title
CN202011448292.7A CN112700087A (en) 2020-12-09 2020-12-09 Method and system for making ordered charging plan of electric automobile in regional scene

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011448292.7A CN112700087A (en) 2020-12-09 2020-12-09 Method and system for making ordered charging plan of electric automobile in regional scene

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113580994A (en) * 2021-08-05 2021-11-02 国网江苏省电力有限公司苏州供电分公司 Intelligent optimization method and system for electric vehicle integrated charging

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113580994A (en) * 2021-08-05 2021-11-02 国网江苏省电力有限公司苏州供电分公司 Intelligent optimization method and system for electric vehicle integrated charging

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