CN109409582B - Charging pile position optimization method - Google Patents

Charging pile position optimization method Download PDF

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CN109409582B
CN109409582B CN201811160942.0A CN201811160942A CN109409582B CN 109409582 B CN109409582 B CN 109409582B CN 201811160942 A CN201811160942 A CN 201811160942A CN 109409582 B CN109409582 B CN 109409582B
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林丽
张云鹍
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Guizhou University
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Abstract

The invention discloses a charging pile position optimization method, which comprises the following steps: inspecting a planned installation site, numbering and marking the site on a map, acquiring judgment parameters, judging a position weight coefficient, sequencing positions and selecting a target site, wherein the inspection of the planned installation site and the marking of the site on the map are preparation work for acquiring the judgment parameters; the obtained judgment parameters are used for calculating the weight coefficient of the position of the charging pile, and the positions are sequenced according to the weight; finally, selecting the position of the charging pile to be built according to the weight sequence; according to the invention, the existing urban layout and planning and the existing charging piles of various types are comprehensively considered, and the position is optimized in the planning stage of the charging piles, so that the utilization rate of the charging piles is improved, and the cost can be effectively reduced.

Description

Charging pile position optimization method
Technical Field
The invention relates to a charging pile position optimization method, and belongs to the technical field of charging pile arrangement.
Background
With the wide use of electric vehicles, it is urgently needed to install corresponding charging piles in cities. The installation that fills the electric pile position now is comparatively random, lacks the consideration to current city overall arrangement and having filled electric pile, can not realize the optimization of availability factor and cost.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: a charging pile position optimization method is provided to overcome the defects in the background art.
The technical scheme of the invention is as follows: a charging pile position optimization method comprises the following steps:
step 1, surveying the place where the charging pile is planned to be installed;
step 2, numbering and marking the to-be-installed places on a map as target places;
step 3, acquiring judgment parameters, wherein the judgment parameters comprise the number of residential areas in a set distance around a target location, the total number of lanes of a road, the number of intersections, the number of existing charging piles, a relative distance between the existing charging piles and the target location, and a relative distance between the nearest target locations;
step 4, calculating the position installation weight coefficient C of the charging pile at a single target sitei，
Ci＝αi×βi×δi×γi
Wherein, CiWeight coefficient, α, for a single charging pile installation locationiFor participating in residential areasCoefficient of numerical correlation, betaiIs a coefficient, gamma, related to the total number of surrounding road lanes and the total number of intersectionsiIs a coefficient, δ, related to the number and location of existing charging pilesiCoefficients relating to the relative distance between nearest target locations, wherein
Figure GDA0002982449140000011
Wherein x isiSetting the number of residential areas within a distance for the surrounding of the ith target location, wherein n is the number of the target locations;
Figure GDA0002982449140000012
wherein, yiTotal number of lanes, z, for all roads around the ith target locationiThe total number of intersections of all roads around the ith target location is shown, and n is the number of the target locations;
Figure GDA0002982449140000021
wherein liThe relative distance between the target location and other target locations which are closest to the target location is taken as n, and the number of the target locations is taken as n;
Figure GDA0002982449140000022
wherein d isijThe distance between the ith target location and the adjacent jth charging pile is defined, and m is the number of the charging piles around the ith target location;
step 5, according to CiSize, target location according to CiSorting in descending order, CiThe larger the charging pile is, the higher the use frequency of the charging pile constructed at the position is, and the more excellent the position is;
step 6, selecting CiAnd a larger target location is used as a position for finally installing the charging pile.
When determining the judgment parameters, acquiring the number of residential areas within 5km around the target location, acquiring the total number of all road lanes within 2km around the target location, acquiring the number of all intersections within 2km around the target location, and acquiring the number of the charging piles within 10km around the target location, the relative distance between the charging piles and the target location, and the relative distance between the charging piles and the nearest target location.
The distance in each parameter is a linear distance.
The invention has the beneficial effects that: according to the invention, the existing urban layout and planning and the existing charging piles of various types are comprehensively considered, and the position is optimized in the planning stage of the charging piles, so that the utilization rate of the charging piles is improved, and the cost can be effectively reduced.
Drawings
FIG. 1 is a schematic diagram of a map target site.
Detailed Description
The invention will be further described with reference to the following drawings and specific embodiments:
the invention relates to a charging pile position optimization method, which comprises the following steps:
step 1, surveying the place where the charging pile is planned to be installed. The main mode is field investigation.
And 2, numbering and marking the places to be installed on the map, eliminating places which do not meet the technical requirements in the investigation places, and marking the rest places where the charging piles can be installed on the map to serve as target places.
And step 3, acquiring a judgment parameter. The judgment parameters comprise the number of residential areas in a set distance around the target location, the total number of lanes, the number of intersections, the number of existing charging piles, the relative distance between the existing charging piles and the target location, and the relative distance between the nearest target locations. Preferably, the number n of the target sites, the number x of residential areas within 5km around the ith target site, is obtainediTotal number y of all road lanes 2km around the ith target locationiNumber of all intersections within 2km around the ith target site ziThe number of charging piles in 10km around the ith target site and the distance d between the charging piles and the jth charging pile nearbyijRelative distance l from the target location to other target locations closest theretoiAnd m is the number of charging piles within 10km around the ith target site. Determination of individual parametersMethods include, but are not limited to, via map acquisition. The distance in each parameter is a linear distance.
Step 4, calculating the position installation weight coefficient C of the charging pile at a single target sitei，
Ci＝αi×βi×δi×γi
Wherein, CiWeight coefficient, α, for a single charging pile installation locationiIs a coefficient related to a residential area parameter, betaiIs a coefficient, gamma, related to the total number of surrounding road lanes and the total number of intersectionsiIs a coefficient, δ, related to the number and location of existing charging pilesiCoefficients relating to the relative distance between nearest target locations, wherein
Figure GDA0002982449140000031
Wherein x isiSetting the number of residential areas within a distance for the surrounding of the ith target location, wherein n is the number of the target locations;
Figure GDA0002982449140000032
wherein, yiTotal number of lanes, z, for all roads around the ith target locationiThe total number of intersections of all roads around the ith target location is shown, and n is the number of the target locations;
Figure GDA0002982449140000033
wherein liThe relative distance between the target location and other target locations which are closest to the target location is taken as n, and the number of the target locations is taken as n;
Figure GDA0002982449140000034
wherein d isijThe distance between the ith target location and the adjacent jth charging pile is shown, and m is the number of the charging piles around the ith target location.
Respectively calculating alpha according to the formulai、βi、γi、δiThen calculating the weight C of each target locationi. Wherein alpha isiThe number level of surrounding residential areas, alpha, in all positions for a certain target locationiThe larger the position is, the larger the number of the surrounding residential areas is, the more the number of people using the electric automobile is, and the more the number of the charging piles is; beta is aiAs the condition of the road around a certain target point, betaiThe larger the position is, compared with other positions, the more lanes around the position are, the more convenient the traffic is, the higher the possibility that the electric automobile passes through is, and the more times of use of the charging pile is; deltaiFor interactions between target sites, δiThe larger the distance between the position and other target places is, the smaller the possibility of mutual interference is, and the use frequency of a single charging pile is higher; gamma rayiFor the distance, gamma, between a certain target location and other existing charging pilesiThe larger the charging pile is, compared with other target sites, the number of the existing charging piles in the periphery is smaller, the distance is longer, the possibility that the owner of the electric automobile selects other charging piles is lower, and the use frequency of the charging pile in the position is higher.
And 5, sequencing positions. According to CiSize, target location according to CiSorting in descending order, CiThe larger the charging pile is, the higher the use frequency of the charging pile constructed at the position is, and the more excellent the position is;
and 6, selecting a target place. Selecting CiAnd a larger target location is used as a position for finally installing the charging pile.
Fig. 1 is a partial detail of a map. Wherein, roads 1, 2, 3, 4 are 3 lanes, and roads 5, 6, 7 are four lanes.
Measuring relevant parameters of the target location 1 through a map:
n: the number of target sites. In the example, 3 target sites are shared, and n is 3;
xi: and measuring the number of residential areas within 5km around the ith target site by taking the entrance and the exit of the residential areas as standards. Measuring residential areas within 5km around the target site 1 as residential areas1 and residential areas 2, x1＝2；
yi: the total number of lanes of all roads around the ith target location. In this example, the total number of lanes within 3km of the vicinity of the target point is set. Lanes within 3km around the target location 1 are lanes 1, 2, 5, 6, and the total number of lanes is y1＝3+3+4+4＝14；
zi: total number of intersections of all roads around the ith target location. In this example, an intersection within 3km of the vicinity of the target point is set. The intersection within 3km around the target location 1 is the intersection of lanes 1, 2, 5 and 6, the number is 1, z1＝1；
li: the relative distance between the target location and other target locations that are closest. In this example, the target location 2 is closest to the target location, and the distance is 3.5km, l1＝3.5；
dij: the distance between the ith target site and the adjacent jth charging pile. Wherein, the distances between the existing charging piles 1 and 2 and the target place are 4km, 10km and d in sequence11＝4，d12＝10；
m: and m is the number of charging piles around the ith target site. In this example, the charging piles within 10km near the target site 1 are the existing charging piles 1 and the existing charging piles 2, and m is 2.
Similarly, the relevant parameters of the target site 2 can be obtained: x is the number of2＝3，y2＝24，z2＝2，l2＝2.5，d21＝3，d22＝8，m＝2。
Similarly, the relevant parameters of the target site 2 can be obtained: x is the number of3＝2，y3＝14，z3＝1，l3＝2.5，d31＝6，d32＝5，m＝2。
Then alpha is calculated for the target locations 1, 2, 3, respectivelyi、βi、γi、δi：
For destination location 1: alpha is alpha1＝0.286、β1＝0.333、γ1＝0.389、δ1＝0.412，C1＝0.015；
For target location2：α2＝0.429、β2＝0.333、γ2＝0.306、δ2＝0.294，C2＝0.013；
For destination location 3: alpha is alpha3＝0.286、β3＝0.333、γ3＝0.306、δ3＝0.294，C3＝0.009；
According to the value size pair C1、C2、C3Sorting to obtain C1＞C2＞C3Therefore, the quality of the target site for constructing the charging pile is C1Is superior to C2，C2Is superior to C3. Preference of C in construction1As a construction target, followed by C2To make the selection of C as small as possible3。
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.

Claims (3)

1. A charging pile position optimization method is characterized by comprising the following steps:
step 1, surveying the place where the charging pile is planned to be installed;
step 2, numbering and marking the to-be-installed places on a map as target places;
step 3, acquiring judgment parameters, wherein the judgment parameters comprise the number of residential areas in a set distance around a target location, the total number of lanes of a road, the number of intersections, the number of existing charging piles, a relative distance between the existing charging piles and the target location, and a relative distance between the nearest target locations;
step 4, calculating the position installation weight coefficient C of the charging pile at a single target sitei，
Ci＝αi×βi×δi×γi
Wherein, CiWeight coefficient, α, for a single charging pile installation locationiIs a coefficient related to a residential area parameter, betaiIs a coefficient, gamma, related to the total number of surrounding road lanes and the total number of intersectionsiIs a coefficient, δ, related to the number and location of existing charging pilesiCoefficients relating to the relative distance between nearest target locations, wherein
Figure FDA0002982449130000011
Wherein x isiSetting the number of residential areas within a distance for the surrounding of the ith target location, wherein n is the number of the target locations;
Figure FDA0002982449130000012
wherein, yiTotal number of lanes, z, for all roads around the ith target locationiThe total number of intersections of all roads around the ith target location is shown, and n is the number of the target locations;
Figure FDA0002982449130000013
wherein liThe relative distance between the target location and other target locations which are closest to the target location is taken as n, and the number of the target locations is taken as n;
Figure FDA0002982449130000014
wherein d isijThe distance between the ith target location and the adjacent jth charging pile is defined, and m is the number of the charging piles around the ith target location;
step 5, according to CiSize, target location according to CiSorting in descending order, CiThe larger the charging pile is, the higher the use frequency of the charging pile constructed at the position is, and the more excellent the position is;
step 6, selecting CiAnd a larger target location is used as a position for finally installing the charging pile.
2. The charging pile position optimization method according to claim 1, characterized in that: when determining the judgment parameters, acquiring the number of residential areas within 5km around the target location, acquiring the total number of all road lanes within 2km around the target location, acquiring the number of all intersections within 2km around the target location, and acquiring the number of the charging piles within 10km around the target location, the relative distance between the charging piles and the target location, and the relative distance between the charging piles and the nearest target location.
3. The charging pile position optimization method according to claim 2, characterized in that: the distance in each parameter is a linear distance.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106530180A (en) * 2016-10-28 2017-03-22 黑龙江省电力科学研究院 High-cold region charging service network planning method
CN107886186A (en) * 2017-10-16 2018-04-06 清华大学 A kind of charging pile method to set up based on travelling data and Wei Nuotu zonings
CN108596394A (en) * 2018-04-28 2018-09-28 国网江苏电力设计咨询有限公司 A kind of addressing coordination configuration method of polymorphic type electric automobile charging station

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106530180A (en) * 2016-10-28 2017-03-22 黑龙江省电力科学研究院 High-cold region charging service network planning method
CN107886186A (en) * 2017-10-16 2018-04-06 清华大学 A kind of charging pile method to set up based on travelling data and Wei Nuotu zonings
CN108596394A (en) * 2018-04-28 2018-09-28 国网江苏电力设计咨询有限公司 A kind of addressing coordination configuration method of polymorphic type electric automobile charging station

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