CN114021880A - Charging station site selection and volume fixing method based on electric vehicle volume - Google Patents
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Abstract
The invention provides a charging station location and volume fixing method based on electric vehicle reserve, which comprises the steps of firstly counting the electric vehicle reserve of a planning area, calculating the charging demand of the planning area according to collected electric vehicle reserve data, then determining the charging demand of a charging demand point and a charging station candidate point, constructing a constraint problem by taking the minimum sum of the construction operation cost and the user charging cost of a charging station as an optimization target, and solving the constraint problem to obtain an optimal location and volume fixing scheme of the charging station of the planning area. According to the planning method, the planning charging station construction scheme is kept according to the electric automobile in the planning area, resources are saved, meanwhile, benefits of users and charging station construction operators are maximized, and the planning method has certain engineering practical significance.
Description
Technical Field
The invention belongs to the field of urban intelligent traffic planning and optimization, and particularly relates to a charging station location and volume selection method based on electric vehicle holding capacity.
Background
Compared with the traditional fuel oil automobile, the electric automobile has the advantages of environmental protection, greenness, energy conservation and the like, and is an important means for solving the problem of environmental pollution. At present, all countries in the world greatly promote the electrification of automobiles. As the number of electric vehicles rapidly increases, the number of charging facilities also rapidly increases. China fills electric pile is the country that fills electric pile reserve in the world the most, but still can not satisfy growing demand for charging far away, "has the car to have no stake, has the stake to have no car, the difficult phenomenon of charging" ubiquitous. Unreasonable location selection of charging facilities not only affects the charging requirements of users, but also greatly causes resource waste. It is expected that the future electric automobile holding amount will be further improved, so how to scientifically and reasonably plan the position and capacity of the charging station is an important problem to be researched.
In the urban traffic network, each electric automobile reaches a destination from a starting point, but due to the limitation of the battery capacity of the electric automobile, the single-time mileage of the electric automobile is often not enough to reach the destination, and the electric automobile must be charged midway. Therefore, it is necessary to provide a method for planning an electric vehicle charging station, and the scientific and reasonable charging station planning is helpful for the rapid development of electric vehicles in China.
Disclosure of Invention
The invention mainly aims to provide a location and volume determining method based on the electric automobile reserve, and the determination method reasonably selects the construction position of a charging station and the number of charging piles in the station based on the electric automobile reserve of a planning area, so that resources can be saved and the charging requirements of users can be met under corresponding cost.
In order to achieve the purpose, the invention provides a location and volume fixing method based on the electric automobile holding capacity, which comprises the following steps:
a charging station site selection and volume fixing method based on electric vehicle volume of keeping comprises the following steps:
1) and (3) counting basic information of the planning area: the method comprises the following steps of (1) keeping quantity of electric vehicles, land prices of various types, unit prices of fast-charging piles and slow-charging piles, rated battery capacity of the electric vehicles, unit price of each degree of electricity of a power grid, and parameter information of various types of charging stations;
2) setting a charging demand point position and a charging station candidate point position of the planning area according to the basic information of the planning area counted in the step 1), and setting that a user selects a charging station closest to the user to charge, wherein the running cost of the user is in direct proportion to the running distance and the electric quantity consumption, and the electric vehicle users queue for charging according to the arrival sequence;
3) establishing an objective function with the minimum comprehensive total cost, namely the sum of the construction and operation cost of the charging station and the charging cost of the user:
minFcost＝∑j(Bj+Aj)xj+U
s.t.
Q≤∑j(CfjWf+CsjWs)tη
∑iQi＝Q
Fcost≤Fmax
xj0 or 1
Wherein, FcostFor the overall cost; b isjThe construction cost is yearly calculated for the charging station; a. thejAnnual average operating cost for the charging station; u is the annual charging cost of the user; x is the number ofjIs a variable from 0 to 1, xj1 denotes the establishment of a station at the station candidate j, xjNo station is built at the charging station candidate point as 0; q is the average daily charging requirement of the planning area; cfjThe number of the quick charging piles at the charging station candidate point j is set; csjThe number of slow charging piles at the charging station candidate point j is set; wfCharging pile power for quick charging; wsPower for the slow charging pile; t is the average working time of each charger per day; eta is the charging efficiency of the charger; qiIs the average daily charge demand at point i; fmaxThe maximum cost can be invested; i is a charging demand point; j is a charging station candidate point;
4) and 3) calculating to obtain the optimal site selection position of the electric vehicle charging station and the capacity of the charging piles in the station in the planned area.
The charging requirement of the planning area is calculated on the basis of the statistical data of the holding capacity of the electric vehicles in the area.
Total combined cost FcostThe maximum investable cost of the project and the construction and operation cost of the charging station and the charging cost of the user are jointly determined.
And 3) solving the objective function through a discrete binary particle swarm algorithm to obtain a j value, further determining the number of the charging piles in the charging station, and finally determining a charging station planning scheme.
dijThe euclidean distance between the geometric centers of the ith charging demand point and the jth charging station candidate point is defined as the euclidean distance.
The comprehensive total cost calculation formula is as follows:
Q＝EγP
Aj＝(CfjWf+CsjWs)tηpc
Qi＝Qδi
U＝365∑i∑jQidijpd
wherein, BjThe construction cost is yearly calculated for the charging station; a. thejAnnual average operating cost for the charging station; u is the annual charging cost of the user; r is0For the recovery rate of investment; m is the operation life of the charging station; l isjThe unit area land price of the candidate point j of the charging station; sjThe floor area of the candidate point j for the charging station; cfjThe number of the quick charging piles at the charging station candidate point j is set; sfThe unit price of the quick charging pile is; csjThe number of slow charging piles at the charging station candidate point j is set; ssCharging pile unit price is charged slowly; fjFixing the cost for charging station j; q is the average daily charging requirement of the planning area; e is the electric automobile holding capacity; gamma is the proportion of the electric automobiles needing to be charged every day in the electric automobiles; p is the rated battery capacity of the electric automobile; wfCharging pile power for quick charging; wsPower for the slow charging pile; t is the average working time of each charger per day; eta is the charging efficiency of the charger; p is a radical ofcThe unit price per degree of electricity of the power grid; qiIs the average daily charge demand at point i; deltaiWeight of charge demand point i; dijThe shortest distance from the charging demand point i to the charging station candidate point j is obtained; p is a radical ofdThe cost of the electric automobile is consumed for driving every kilometer.
The electric vehicle charging station planning scheme determined by the invention can reduce the charging cost of a user and the cost of a charging station construction operator. The charging demand of the region is calculated based on the reserve of the electric vehicles in the planning region, the optimal station building candidate points are scientifically and reasonably selected, the number of charging piles in the station is allocated, the cost of both parties is greatly reduced, and the method has certain engineering practical significance.
Drawings
FIG. 1 is a flow chart of a method for locating and sizing an electric vehicle charging station according to the present invention;
FIG. 2 is a schematic diagram of a planning area in an embodiment;
fig. 3 is a diagram of a charging station planning scheme in an embodiment.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a charging station location and volume method based on electric vehicle holding volume, as shown in figure 1, comprising the following steps:
(1) counting the electric automobile holding capacity in a planning area;
and (3) counting basic information of the planning area: the method comprises the steps of electric vehicle holding capacity, various land prices, unit prices of fast-charging piles and slow-charging piles, rated battery capacity of the electric vehicle, unit price of each degree of electricity of a power grid and parameter information of various charging stations.
(2) Calculating a charging requirement;
and calculating the charging requirement of the planning area according to the objective function.
(3) Determining a charging demand of a charging demand point and a charging station candidate point;
according to the statistical basic information of the planning area, setting the charging demand point position and the charging station candidate point position of the planning area, and setting that a user selects a charging station closest to the user to charge, wherein the running cost of the user is in direct proportion to the running distance and the electric quantity consumption, and the electric vehicle users queue for charging according to the arrival sequence.
(4) Determining the number and capacity of charging stations;
establishing an objective function with the minimum comprehensive total cost, namely the sum of the construction and operation cost of the charging station and the charging cost of the user:
minFcost＝∑j(Bj+Aj)xj+U
s.t.
Q≤∑j(CfjWf+CsjWs)tη
∑iQi＝Q
Fcost≤Fmax
xj0 or 1
Wherein, FcostFor the overall cost; b isjThe construction cost is yearly calculated for the charging station; a. thejAnnual average operating cost for the charging station; u is the annual charging cost of the user; x is the number ofjIs a variable from 0 to 1, xj1 denotes the establishment of a station at the station candidate j, xjNo station is built at the charging station candidate point as 0; q is the average daily charging requirement of the planning area; cfjThe number of the quick charging piles at the charging station candidate point j is set; csjThe number of slow charging piles at the charging station candidate point j is set; wfCharging pile power for quick charging; wsPower for the slow charging pile; t is the average working time of each charger per day; eta is the charging efficiency of the charger; qiIs the average daily charge demand at point i; fmaxThe maximum cost can be invested; i is a charging demand point; j is a charging station candidate point;
Q＝EγP
Aj＝(CfjWf+CsjWs)tηpc
Qi＝Qδi
U＝365∑i∑jQidijpd
wherein, BjFor chargingThe construction cost is averaged in each year; a. thejAnnual average operating cost for the charging station; u is the annual charging cost of the user; r is0For the recovery rate of investment; m is the operation life of the charging station; l isjThe unit area land price of the candidate point j of the charging station; sjThe floor area of the candidate point j for the charging station; cfjThe number of the quick charging piles at the charging station candidate point j is set; sfThe unit price of the quick charging pile is; csjThe number of slow charging piles at the charging station candidate point j is set; ssCharging pile unit price is charged slowly; fjFixing the cost for charging station j; q is the average daily charging requirement of the planning area; e is the electric automobile holding capacity; gamma is the proportion of the electric automobiles needing to be charged every day in the electric automobiles; p is the rated battery capacity of the electric automobile; wfCharging pile power for quick charging; wsPower for the slow charging pile; t is the average working time of each charger per day; eta is the charging efficiency of the charger; p is a radical ofcThe unit price per degree of electricity of the power grid; qiIs the average daily charge demand at point i; deltaiWeight of charge demand point i; dijThe shortest distance from the charging demand point i to the charging station candidate point j is obtained; p is a radical ofdThe cost of the electric automobile is consumed for driving every kilometer.
And solving the objective function through a discrete binary particle swarm algorithm to obtain a j value, and further determining the number of the charging piles in the charging station.
(5) A charging station planning scheme;
and (4) calculating the position of the charging station and the capacity of the charging piles in the station to obtain the charging station planning scheme.
Claims (5)
1. A charging station site selection and volume fixing method based on electric vehicle volume is characterized by comprising the following steps:
1) and (3) counting basic information of the planning area: the method comprises the following steps of (1) keeping quantity of electric vehicles, land prices of various types, unit prices of fast-charging piles and slow-charging piles, rated battery capacity of the electric vehicles, unit price of each degree of electricity of a power grid, and parameter information of various types of charging stations;
2) setting a charging demand point position and a charging station candidate point position of the planning area according to the basic information of the planning area counted in the step 1), and setting that a user selects a charging station closest to the user to charge, wherein the running cost of the user is in direct proportion to the running distance and the electric quantity consumption, and the electric vehicle users queue for charging according to the arrival sequence;
3) establishing an objective function with the minimum comprehensive total cost, namely the sum of the construction and operation cost of the charging station and the charging cost of the user:
minFcost＝∑j(Bj+Aj)xj+U
s.t.
Q≤∑j(CfjWf+CsjWs)tη
Fcost≤Fmax
xj0 or 1
Wherein, FcostFor the overall cost; b isjThe construction cost is yearly calculated for the charging station; a. thejAnnual average operating cost for the charging station; u is the annual charging cost of the user; x is the number ofjIs a variable from 0 to 1, xj1 denotes the establishment of a station at the station candidate j, xjNo station is built at the charging station candidate point as 0; q is the average daily charging requirement of the planning area; cfjThe number of the quick charging piles at the charging station candidate point j is set; csjThe number of slow charging piles at the charging station candidate point j is set; wfCharging pile power for quick charging; wsPower for the slow charging pile; t is the average working time of each charger per day; eta is the charging efficiency of the charger; qiIs the average daily charge demand at point i; fmaxThe maximum cost can be invested; i is a charging demand point; j is a charging station candidate point;
4) and 3) calculating to obtain the optimal site selection position of the electric vehicle charging station and the capacity of the charging piles in the station in the planned area.
2. The electric vehicle inventory based charging station siting and sizing method according to claim 1, wherein the planned regional charging demand is calculated based on statistical data of electric vehicle inventories in the region.
3. The electric vehicle inventory-based charging station siting and sizing method according to claim 1, wherein the total cost F is combinedcostThe maximum investable cost of the project and the construction and operation cost of the charging station and the charging cost of the user are jointly determined.
4. The charging station site selection and volume fixing method based on the electric vehicle inventory as claimed in claim 1, wherein in the step 3), the objective function is solved through a discrete binary particle swarm algorithm to obtain a j value, so that the number of the charging piles in the charging station is determined, and finally a charging station planning scheme is determined.
5. The electric vehicle inventory based charging station siting and sizing method according to claim 1, wherein the total cost is calculated by the following formula:
Q＝EγP
Aj＝(CfjWf+CsjWs)tηpc
wherein, BjThe construction cost is yearly calculated for the charging station; a. thejAnnual average operating cost for the charging station; u is the annual charging cost of the user; r is0For the recovery rate of investment; m is the operation life of the charging station; l isjThe unit area land price of the candidate point j of the charging station; sjThe floor area of the candidate point j for the charging station; cfjThe number of the quick charging piles at the charging station candidate point j is set; sfThe unit price of the quick charging pile is;Csjthe number of slow charging piles at the charging station candidate point j is set; ssCharging pile unit price is charged slowly; fjFixing the cost for charging station j; q is the average daily charging requirement of the planning area; e is the electric automobile holding capacity; gamma is the proportion of the electric automobiles needing to be charged every day in the electric automobiles; p is the rated battery capacity of the electric automobile; wfCharging pile power for quick charging; wsPower for the slow charging pile; t is the average working time of each charger per day; eta is the charging efficiency of the charger; p is a radical ofcThe unit price per degree of electricity of the power grid; qiIs the average daily charge demand at point i; deltaiWeight of charge demand point i; dijThe distance from the charging demand point i to the charging station candidate point j; p is a radical ofdThe cost of the electric automobile is consumed for driving every kilometer.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114862018A (en) * | 2022-05-05 | 2022-08-05 | 南京理工大学 | Electric vehicle charging station site selection and constant volume planning method considering charging travel distance |
| CN115271550A (en) * | 2022-09-26 | 2022-11-01 | 国网浙江慈溪市供电有限公司 | Electric vehicle public charging station site selection and volume fixing method, computing equipment and storage medium |
| CN116777517A (en) * | 2023-07-27 | 2023-09-19 | 苏州德博新能源有限公司 | Battery box position determining method |
-
2021
- 2021-09-27 CN CN202111138419.XA patent/CN114021880A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114862018A (en) * | 2022-05-05 | 2022-08-05 | 南京理工大学 | Electric vehicle charging station site selection and constant volume planning method considering charging travel distance |
| CN115271550A (en) * | 2022-09-26 | 2022-11-01 | 国网浙江慈溪市供电有限公司 | Electric vehicle public charging station site selection and volume fixing method, computing equipment and storage medium |
| CN116777517A (en) * | 2023-07-27 | 2023-09-19 | 苏州德博新能源有限公司 | Battery box position determining method |
| CN116777517B (en) * | 2023-07-27 | 2024-06-04 | 苏州德博新能源有限公司 | Battery box position determining method |
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