CN109190832A - A kind of electric bus charging station site selecting method based on Focus Theory - Google Patents
A kind of electric bus charging station site selecting method based on Focus Theory Download PDFInfo
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Abstract
The invention discloses a kind of electric bus charging station site selecting method based on Focus Theory.Include: step 1: collecting basic relevant information；Step 2: initialization determines the quasi- initial position co-ordinates for selecting charging station；Step 3: determining the resulting charging station location of -1 iteration of kth and other public transport station distance di (k‑1), and exclude the interference caused by too small；Step 4: updating the position of proposed charging station；Step 5: test for convergence judges whether to have obtained optimal addressing scheme, that is, determines that the optimal location of charging station stops calculating if Rule of judgment reaches.The present invention can rapidly select the site selecting method of the station as electric bus charging station an of optimization in public transport station, convergence rate faster, anti-interference it is more preferable.
Description
Technical field:
The present invention relates to bus charging stations to optimize addressing technique more particularly to a kind of electronic public affairs based on Focus Theory
Hand over vehicle charging station site selecting method.
Background technique:
More and more cities start to pay attention to the construction and development of public transport, the especially maturation of vehicle technology to be public affairs
Traffic altogether is filled with new force.But since electric bus popularization degree is not high and battery capacity of electric car is small, fills
The electric slow presence for waiting short slabs, needs to make up from planning level, to meet the operation demand of electric bus.
In general, at present there are three types of the charging modes of electric bus: fast charge, night trickle charge and replacement battery pack.Its
In, fast charge electric current is big, it is high to require electrically-charging equipment, and there are safety problem and to will cause network load excessive；Replacement battery then needs
Extra battery is wanted, it is at high cost, it is also necessary to additional human cost, and replacement process is also likely to be present security risk；And night
Between trickle charge be different from the above two, trickle charge safety coefficient is relatively high, using low power consumption night, underload phase charge, alleviate electricity
Net burden, is the top-priority electric bus charging method of current government and enterprise.Herein for the night of electric bus
Trickle charge demand proposes a kind of improved Electric Transit station site selecting method based on Focus Theory, and it is slow to solve night from planning level
The Facilities Construction problem filled.
Current siteselecting planning problem is more that optimum location is selected within the scope of survey region, and optimum location is to grind
Study carefully certain coordinate points in region.In practical applications, it is limited by place, land character etc., only obtains coordinate often not
It is able to satisfy the addressing of demand, especially charging station.Bus charging station takes up a large area, and needs perfect power grid mating, and
It charges in time to meet bus, guarantees its normal operation, often configure charging station in public transport station, so needing studying
Select certain website as public transport charging station in several public transport stations in region, it is in that case, main using traversal at present
Method.But in complex network, traversal is not applicable, spends time length, low efficiency, addressing can near optimum coordinates point
There can be interference option and what may be selected is not optimum point.
Site selecting method based on Focus Theory has been used widely.But traditional center of gravity addressing method is in iterative process
Middle convergence rate is slow, and if the coordinate points that acquire it is closer apart from certain station when be easy to happen mutation, influence convergence rate and optimal
The determination of value.The present invention considers convergence rate problem and increases iteration Rule of judgment and avoid interfering, and proposes a kind of improved base
In the electric bus charging station site selecting method of Focus Theory.
Summary of the invention
The object of the present invention is to provide a kind of electric bus charging station site selecting method based on Focus Theory, to study area
In domain the Electric Transit vehicle operating range of all stations most it is short be target, can rapidly in public transport station select one it is optimal
Site selecting method of the station of change as electric bus charging station, convergence rate faster, anti-interference it is more preferable.
Above-mentioned purpose is achieved through the following technical solutions:
A kind of electric bus charging station site selecting method based on Focus Theory, this method comprises the following steps:
Step 1: collecting basic relevant information, specifically include: the position coordinates (x of i-th of public transport stationi, yi)；I-th public
Hand over the vehicle number m that the electric bus to charge in proposed charging station is needed in stationi；The priority f of i-th of public transport stationi；
Step 2: initialization determines the quasi- initial position co-ordinates for selecting charging station, initial position co-ordinates valueBy
Following formula is calculated:
Wherein,For the horizontal axis coordinate of the 0th resulting proposed charging station of iteration,It is resulting quasi- for the 0th iteration
Build the ordinate of orthogonal axes of charging station；
Then the operating range d between i-th of public transport station and proposed charging station is calculatedi；
Step 3: determining the resulting charging station location of -1 iteration of kth and other public transport station distance di (k-1), exclude away from
From interfering caused by too small；
Step 4: updating the position of proposed charging station: the d obtained according to step 3i (k-1), obtained by iterative calculation new
Charging station coordinates are obtained, calculation formula is as follows:
Wherein,For the horizontal axis coordinate of the resulting proposed charging station of kth time iteration,It is resulting quasi- for kth time iteration
Build the ordinate of orthogonal axes of charging station, (di (k-1)) α expression di (k-1)α power, obtain the new new coordinate of proposed charging station
Afterwards, d is calculatedi (k), while calculating k-th of target value z(k)=∑imifidi (k)；
Step 5: test for convergence judges whether to have obtained optimal addressing scheme, that is, determines the optimal location of charging station,
If Rule of judgment reaches, stop calculating, Rule of judgment is as follows:
|z(k)-z(k-1)|≤ε?
Wherein, ε is the judgment threshold of target value, and Rule of judgment is equivalent to: if in acceptable error ε, z (k) and z (k-
1) value is equal, then stops calculating,As optimal addressing enables k=k+1 if Rule of judgment is unsatisfactory for above,
And return step 3.
The electric bus charging station site selecting method based on Focus Theory, i-th of calculating described in step 2 public
Hand over the operating range d between station and proposed charging stationiSimplified using the Euclidean distance in space and calculated, it may be assumed that
N is the number of public transport station in survey region in formula, uses di (k)Represent the resulting d of kth time iterative calculationi, by
WithCalculate di (0), and find out corresponding target value z(0)=∑imifidi (0), the final purpose of the site selecting method is to make z value most
Minimum value is obtained eventually, and the label k=1 of the number of iterations is set.
The electric bus charging station site selecting method based on Focus Theory, exclusion described in step 3 is apart from mistake
The specific method of interference caused by small is:
If δl< di (k-1)< δu, then d is enabledi (k-1)=M；
If di (k-1)< δl, then calculating is terminated,As required optimal solution,
Wherein δ1, δuFor threshold value, δ1It is the lower critical distance that interference can be generated to the iterative process of required location problem
Value, δuBe one can to the iterative process of required location problem generate interference upper critical distance value, M be one it is infinitely great just
Natural number so that 1/M ≈ 0, even i-th of public transport station withThe distance between δlAnd δuBetween,
The new coordinate of kth time of proposed charging station is then calculated in step 4When do not consider i-th of public transport station；If i-th
Public transport station withThe distance between be less than δ1, then it is assumed that optimal charging station addressing point has been found, has been terminated
It calculates, which is required optimal charging station addressing point, next calculates -1 target value z of kth(k-1)=∑imifidi (k-1)。
The electric bus charging station site selecting method based on Focus Theory, is α=5 described in step 4.
The utility model has the advantages that
Compared with prior art, the present invention having the advantage that
The present invention consider in the convergence process solved using gravity model appoach due in iteration denominator the too small generation of distance value it is prominent
Change problem, to obtain the convergence of more preferable effect.Distance Judgment condition is added in iterative step, is jumped when distance value is too small
The step is crossed, the too small bring numerical exception of divisor problem bigger than normal is avoided, reduces the fluctuation in iterative calculation, enables model
Quickly converge to optimal value.
Present invention improves over the iterative formulas in Location Selection by Gravity Method, and the power of distance is adjusted to reasonable value, improves algorithm
Convergence rate, and be able to solve and choose some location problem of public transport station as electric bus charging station, compared with traversal
Algorithm faster, under especially complicated road network environment, greatly reduces the number for calculating shortest path between each station, so that addressing
Model is simpler, efficient.
Detailed description of the invention
Fig. 1 is the flow chart of the method for the present invention.
Specific embodiment
A kind of electric bus charging station site selecting method based on Focus Theory, this method comprises the following steps:
Step 1: collecting basic relevant information.Data support can be provided for subsequent step by collecting basic relevant information step.
Wherein, following information: the position coordinates (x of i-th of public transport station is specifically collectedi, yi)；It needs in i-th of public transport station proposed
The vehicle number m of the electric bus of charging station chargingi；The priority f of i-th of public transport stationi, fiMainly for guaranteeing charging station
It is close from some important public transport stations as much as possible, it can preferentially guarantee the normal operation of important station, its in actual use
His some variable factors can also be by adjusting fiIt realizes.
Step 2: initialization determines that the quasi- initial position co-ordinates for selecting charging station, coordinate value are calculated by following formula:
Wherein,For the horizontal axis coordinate of the 0th resulting proposed charging station of iteration,It is resulting quasi- for the 0th iteration
Build the ordinate of orthogonal axes of charging station.
Then the operating range d between i-th of public transport station and proposed charging station is calculatedi, of the invention for ease of description
Algorithm, the present invention in di, simplified using the Euclidean distance in space and calculated, it may be assumed thatN is the number of public transport station in survey region in formula, uses di (k)It represents
The resulting d of kth time iterative calculationi.ByWithCalculate di (0), and find out corresponding target value z(0)=∑imifidi (0), should
The final purpose of invention is that z value is made finally to obtain minimum value.The label k=1 of the number of iterations is set.
Step 3: determining kth -1 time resulting charging station location at a distance from other public transport stations, exclusion is made apart from too small
At interference.If δ1< di (k-1)< δu, then d is enabledi (k-1)=M；If di (k-1)< δ1, then calculating is terminated,I.e.
For required optimal solution.Wherein δ1, δuFor threshold value, δ1One can generate the lower critical of interference to the iterative process of required location problem
Distance value, δuIt is the upper critical distance value that interference can be generated to the iterative process of required location problem, M is an infinity
Positive natural number so that 1/M ≈ 0.Even i-th public transport station withThe distance between δ1And δuIt
Between, then the new coordinate of kth time of proposed charging station is calculated in step 4When do not consider i-th of public transport station；If i-th
A public transport station withThe distance between be less than δ1, then it is assumed that optimal charging station addressing point is found, eventually
It only calculates, which is required optimal charging station addressing point.Next -1 target value z of kth is calculated(k-1)=∑imifidi (k-1)。
Step 4: updating the position of proposed charging station.The d obtained according to step 3i (k-1), obtained by iterative calculation new
Charging station coordinates, calculation formula are as follows:
Wherein,For the horizontal axis coordinate of the resulting proposed charging station of kth time iteration,It is resulting quasi- for kth time iteration
Build the ordinate of orthogonal axes of charging station, (di (k-1)) α expression di (k-1)α power.Obtain the new new coordinate of proposed charging station
Afterwards, d is calculatedi (k), while calculating k-th of target value z(k)=∑imifidi (k)。
Step 5: test for convergence judges whether to have obtained optimal addressing scheme, that is, determines the optimal location of charging station,
If Rule of judgment reaches, stop calculating.Rule of judgment is as follows:
|z(k)-z(k-1)|≤ε?
Wherein, ε is the judgment threshold of target value.Rule of judgment is equivalent to: if in acceptable error ε, Z(k)With z(k-1)'s
It is worth equal, then stops calculating,As optimal addressing.If Rule of judgment above is unsatisfactory for, k=k+1 is enabled, and return
Return step 3.
Illustrate: by a large amount of it is demonstrated experimentally that being arranged according to different application scenarios and being closed when using the method for the invention
Suitable α value, final iterative calculation can converge to the coordinate points of some public transport station.The default value of recommendation is α=5.
The method of the present invention is further described below with reference to Fig. 1 and using example.It is as shown in Figure 1 One-road one-line
The overview flow chart of pedestrian's street crossing signal cooperative control method under mode.
Step 1, basic relevant information is collected, as shown in the table:
And given threshold δ in this examplelIt is 0.01, δuIt is 1, kmaxFor 20, ε 100.
Step 2: initialization determines the quasi- initial position co-ordinates for selecting charging station, is calculated by following formula:
Enable k=1.
Step 3: determining kth -1 time resulting charging station location at a distance from other public transport stations, exclusion is made apart from too small
At interference.By formulaIt can obtainWith each public transport station
Distance di (0)It is respectively as follows: 52.153,53.532,55.018,53.158,48.798,53.327,27.577,25.875,9.976,
26.838,74.689,67.154,89.363,81.118,11.544,17.896.Obviously for any i=1,2,3 ..., 16,
di (0)1 > 0.01 of >, therefore continue following step.
Meanwhile by formula z(k)=∑imifidi (k)Z can be obtained(0)=748024.320.
Step 4: the position of proposed charging station is updated, new charging station coordinates are calculated by following formula:
With each public transport station distance di (1)Respectively 59.672,61.866,62.670,61.213,
56.771,61.524,21.551,18.971,2.7431,16.945,69.406,59.196,93.959,71.782,6.293,
9.434.Z is calculated simultaneously(1)=∑imifidi (1)=734005.66.
Step 5: test for convergence judges whether to have obtained optimal addressing scheme.|z(1)-z(0)|=14108.7 >
100, therefore k=2 is enabled, return step 3.
By cycle calculations, 3 iterative calculation are eventually passed through, reaches stop condition, obtains optimal addressing position: (42,
55), i.e. the 9th public transport station.Calculating process result is as follows:
It examines: using traversal, successively assume that i-th of public transport station is charging station, calculate separately target function value, calculate
The result is as follows:
By table as it can be seen that the optimal addressing scheme that traversal acquires is also the 9th public transport station as charging exhibitions.Therefore,
Electric bus charging obtained by the improved electric bus charging station site selecting method based on Focus Theory proposed by the invention
The address stood is optimal addressing scheme.
Claims (4)
1. a kind of electric bus charging station site selecting method based on Focus Theory, which is characterized in that this method includes following step
It is rapid:
Step 1: collecting basic relevant information, specifically include: the position coordinates (x of i-th of public transport stationi, yi)；I-th of public transport field
The vehicle number m for the electric bus for needing to charge in proposed charging station in standingi；The priority f of i-th of public transport stationi；
Step 2: initialization determines the quasi- initial position co-ordinates for selecting charging station, initial position co-ordinates valueBy following formula
It is calculated:
Wherein,For the horizontal axis coordinate of the 0th resulting proposed charging station of iteration,It proposed is filled for the 0th iteration is resulting
The ordinate of orthogonal axes in power station；
Then the operating range d between i-th of public transport station and proposed charging station is calculatedi；
Step 3: determining the resulting charging station location of -1 iteration of kth and other public transport station distance di (k-1), exclude apart from mistake
It is interfered caused by small；
Step 4: updating the position of proposed charging station: the d obtained according to step 3i (k-1), new charging is obtained by iterative calculation
Station coordinates, calculation formula are as follows:
Wherein,For the horizontal axis coordinate of the resulting proposed charging station of kth time iteration,It proposed is filled for kth time iteration is resulting
The ordinate of orthogonal axes in power station, (di (k-1))αIndicate di (k-1)α power, obtain the new new coordinate of proposed charging stationAfterwards,
Calculate di (k), while calculating k-th of target value z(k)=∑imifidi (k)；
Step 5: test for convergence judges whether to have obtained optimal addressing scheme, that is, the optimal location of charging station is determined, if sentencing
Broken strip part reaches, then stops calculating, Rule of judgment is as follows:
|z(k)-z(k-1)|≤ε?
Wherein, ε is the judgment threshold of target value, and Rule of judgment is equivalent to: if in acceptable error ε, z (k) and z (k-1)
It is worth equal, then stops calculating,As optimal addressing enables k=k+1, and return if Rule of judgment is unsatisfactory for above
Return step 3.
2. the electric bus charging station site selecting method according to claim 1 based on Focus Theory, which is characterized in that step
Operating range d between i-th of public transport station of calculating described in rapid 2 and proposed charging stationiUsing the Euclidean distance in space
Simplify and calculate, it may be assumed that
N is the number of public transport station in survey region in formula, uses di (k)Represent the resulting d of kth time iterative calculationi, byWithCalculate di (0), and find out corresponding target value z(0)=∑imifidi (0), the final purpose of the site selecting method is to keep z value final
Minimum value is obtained, the label k=1 of the number of iterations is set.
3. the electric bus charging station site selecting method according to claim 1 based on Focus Theory, which is characterized in that step
The specific method of the interference caused by too small of exclusion described in rapid 3 is:
If δl< di (k-1)< δu, then d is enabledi (k-1)=M；
If di (k-1)< δl, then calculating is terminated,As required optimal solution,
Wherein δ1, δuFor threshold value, δ1It is the lower critical distance value that interference can be generated to the iterative process of required location problem, δu
It is the upper critical distance value that interference can be generated to the iterative process of required location problem, M is an infinitely great positive nature
Number so that 1/M ≈ 0, even i-th of public transport station withThe distance between δlAnd δuBetween, then exist
The new coordinate of kth time of proposed charging station is calculated in step 4When do not consider i-th of public transport station；If i-th of public transport
Station withThe distance between be less than δ1, then it is assumed that optimal charging station addressing point has been found, has terminated and calculates,
The public transport station is required optimal charging station addressing point, next calculates -1 target value z of kth(k-1)=∑imifidi (k -1)。
4. the electric bus charging station site selecting method according to claim 1 based on Focus Theory, which is characterized in that step
It is α=5 described in rapid 4.
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| CN110059848A (en) * | 2019-03-06 | 2019-07-26 | 佛山市顺德区中山大学研究院 | WSN charging service website setting method and charging equipment driving path planing method |
| CN110084520A (en) * | 2019-04-30 | 2019-08-02 | 国网上海市电力公司 | Charging station site selecting method and device based on public bus network Yu gridding AP algorithm |
| CN113012460A (en) * | 2021-02-24 | 2021-06-22 | 华录智达科技股份有限公司 | Single-line bus charging control system and method |
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