CN110458329A - A kind of electric automobile charging station addressing constant volume method - Google Patents
A kind of electric automobile charging station addressing constant volume method Download PDFInfo
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- CN110458329A CN110458329A CN201910623959.3A CN201910623959A CN110458329A CN 110458329 A CN110458329 A CN 110458329A CN 201910623959 A CN201910623959 A CN 201910623959A CN 110458329 A CN110458329 A CN 110458329A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a kind of methods of electric automobile charging station addressing constant volume, and described method includes following steps: obtaining Regional Road Network structure diagram；Calculate separately the charging station quantity that Regional Road Network needs to build, junction node traffic flow density, total charge volume demand；Site selection model is established, the specific location of charging station is solved；Charging queuing model is established, the charging pile quantity configuration in charging station is optimized；Charging pile quantity in each station obtained according to the quantity of required construction charging station and optimization, exports planning region totle drilling cost；The present invention improves user's charging convenience and charging pile utilization rate, optimizes the quantity for interior charging pile of standing according to charging queuing model, increases utilization rate, reduces cost.
Description
Technical field
The present invention relates to a kind of electric automobile charging station addressing constant volume methods, belong to electric automobile charging station planning technology neck
Domain.
Background technique
As urbanization process is accelerated, environmental pollution and shortage of resources problem are got worse, and restrict the fast of China's economy
Speed develops in a healthy way.In order to promote more users to use new-energy automobile, it is necessary in the construction of the position of charging station and charging station
It is accounted in terms of the charging pile quantity two of outfit, improves the convenience and charging service efficiency of user's charging.Existing charging
In addressing constant volume of standing research, charging station construction cost, grid loss cost and operation cost of charging station etc. are considered, lead to
Sunykatuib analysis information of vehicle flowrate is crossed, the distribution situation of charge requirement point is predicted, establishes addressing constant volume model；The prior art has ignored
The actual range of practical structures and the charge requirement point and charging station of city road network.In terms of charging station constant volume, the prior art is examined
Worry meets maximum stream flow demand daily in charging station service range and is configured by queueing theory to charging pile quantity, does not examine
Consider user to reach the Parameter for Poisson Distribution difference at any time of charging station and change, the setting of charging pile quantity is excessive, leads
Cause utilization rate not high.
Summary of the invention
The purpose of the present invention is to provide a kind of electric automobile charging station addressing constant volume methods, to solve to neglect in the prior art
The actual range of the practical structures and charge requirement point and charging station of having omited city road network causes the setting of charging pile quantity excessive, leads
The defect for causing utilization rate not high.
A kind of method of electric automobile charging station addressing constant volume, described method includes following steps:
Obtain Regional Road Network structure diagram；
The charging station quantity that Regional Road Network needs to build is calculated separately, junction node traffic flow density, total charge volume need
It asks；
Site selection model is established, the specific location of charging station is solved；
Charging queuing model is established, the charging pile quantity configuration in charging station is optimized；
Charging pile quantity in each station obtained according to the quantity of required construction charging station and optimization, output planning region are total
Cost.
It is further: shortest distance matrix is calculated according to the Regional Road Network structure diagramWherein
I, j=1,2 ... n-1, n；InIn can be divided into following several situations:
Further, the calculation method of the traffic flow density of the junction node are as follows:
If s section is connected with junction node j, e-th of section symbol j being connected with node je' indicate, wherein e=
1、2、3、…s。pt e(j, je') indicate t moment node j and node je' connected e-th of section traffic flow density, then road
Traffic flow density of the mouth node j in the junction node of t moment:
If there is n junction node in planning region, the total charge volume demand Q of planning region in the T period is obtained by (1) formula are as follows:
Wherein, α is electric vehicle ownership ratio in region, and β is Vehicular charging ratio in region, CvIt is average for electric car
Battery capacity.
Further, the calculation method of the charging station quantity is as follows:
(2) formula of utilization calculates to obtain charging station quantity:
Wherein: N indicates planning region junction node number；NiFor the electric car quantity of road node i；β is vehicle in region
Charge Proportional；CvFor electric car average cell capacity；M is the quantity of charging pile；C is the mean power of separate unit charging pile；TV
Indicate the charging pile effective time.
Further, the calculation method of the charging station location is as follows:
Objective function is obtained by establishing site selection model；
Utilize shortest distance matrix between floyd algorithm acquisition crossingWithShortest path sequence
It willIt brings objective function into and charging station location is calculated:
Wherein: N indicates junction node number；HiIndicate the day charging vehicle aggregate demand of junction node i；DijIndicate crossing section
The actual range of point i to junction node j,Indicate shortest path length, XijFor decision variable, then:
Wherein,Meet user's charge requirement at each crossing.
Further, the floyd algorithm establishes initial table using double labels；Double labels establish initial table and establish row
Coordinate i, ordinate j.
Further, the foundation charging queuing model cost minimization turns to objective function, so that it is determined that in charging station
Optimal charging pile configures quantity；Its objective function are as follows:
MinF=365 × (C1Ls+mqC2)×TV (5)
Wherein: mqIndicate the quantity of charging pile in q-th of charging station, q=1,2,3 ... Nch；C1When indicating the waiting of user
Between cost；LsIndicate average queue length；C2Indicate charging pile service time cost；TVIndicate the charging pile effective time；
Due to the configuration quantity m of charging pileqIt is integer, F (mq) it is discrete function, charging pile is solved using technique of marginal analysis
Quantity；The determination of charging pile quantity is as follows in charging station q:
Abbreviation obtains:
The quantity of the charging pile in each charging station is found out by (6) formula.
Further, the planning region totle drilling cost includes charging station totle drilling cost and user's totle drilling cost Z=Z1+Z2；
The charging station totle drilling cost:
Z1q2=(mqa+nqb+cq)×k
Z1q3=[nq(CF+CC)+mq(Cl+Cd)×kt]×TV×365×P (7)
Wherein: Z1q1Indicate the charging station construction cost that number q is；mqFor charging pile quantity；A is the unit price of charging pile；nq
The number transformer being equipped with for charging station q；B is the unit price of transformer；cqFor the capital cost of charging station q；r0For discount rate；Z is
Run the time limit；Z1q2Indicate operation maintenance cost, k is conversion factor；Z1q3Indicate grid loss expense；CFAnd CCFor transformer
Iron loss and copper loss；ClAnd CdIt is the loss value of charging pile for the conversion of charging station line loss；ktFor charging pile work simultaneity factor；TV
For charging pile average daily effective charging time；P is the electricity rates that operator pays to Utilities Electric Co.；
User's totle drilling cost: Z2=Z2q1+Z2q2+Fmin
Z2q1=pQq×365
Wherein: p is user's charging electricity price；QqFor the average charging load number daily of the user in charging station q service range；Nq
For averagely daily charging vehicle number；D is the average charge distance that crossing vehicle reaches charging station；G is electric car in unit
The distance that can be travelled under electricity；V is electric automobile during traveling speed；K is Subscriber Unit travel time value.
Compared with prior art, advantageous effects of the invention: the present invention is by calculating charging station in region
The quantity that position is arranged and stands interior charging pile, which determines, improves user's charging convenience and charging pile utilization rate, and according to charging need
The actual range a little with charging station is sought, proposes the charging selection based on distance, optimal site selection model selects charging station in region
Optimum position, then the quantity according to charging pile in charging queuing model optimization station, increases utilization rate, reduces cost.
Detailed description of the invention
Fig. 1 is addressing constant volume flow chart of the present invention；
Fig. 2 is that electric car of the present invention reaches charging station time interval schematic diagram.
Specific embodiment
To be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, below with reference to
Specific embodiment, the present invention is further explained.
As shown in Figs. 1-2, a kind of method of electric automobile charging station addressing constant volume is disclosed, the method includes walking as follows
It is rapid:
Obtain Regional Road Network structure diagram；
The charging station quantity that Regional Road Network needs to build is calculated separately, junction node traffic flow density, total charge volume need
It asks；
Site selection model is established, the specific location of charging station is solved；
Charging queuing model is established, the charging pile quantity configuration in charging station is optimized；
Charging pile quantity in each station obtained according to the quantity of required construction charging station and optimization, output planning region are total
Cost.
It is specific: shortest distance matrix is obtained according to the Regional Road Network structure diagramWherein i, j=
1,2 ... n-1, n；InIn can be divided into following several situations:
It is poised for battle matrixIt need to only fill in cellWherein j > i.For j=i+1, For shortest path sequential labeling That is the distance of i-node to j node keeps the iteration value of previous step not
Become, thenIllustrate i-node
Arrive first the distance ratio that k node arrives j node againIt is short, i.e.,
The calculation method of the traffic flow density of the junction node are as follows: set s section and be connected with junction node j, with section
E-th point j connected of section indicate with symbol je', wherein e=1,2,3 ... s.pt e(j,je') indicate t moment node j and section
Point je' connected e-th of section traffic flow density, then junction node j is close in the magnitude of traffic flow of the junction node of t moment
Degree:
If there is n junction node in planning region, the total charge volume demand Q of planning region in the T period is obtained by (1) formula are as follows:
Wherein, α is electric vehicle ownership ratio in region, and β is Vehicular charging ratio in region, CvIt is average for electric car
Battery capacity.
The calculation method of the charging station quantity is as follows:
(2) formula of utilization calculates to obtain charging station quantity:
Wherein: N indicates planning region junction node number；NiFor the electric car quantity of road node i；β is vehicle in region
Charge Proportional；CvFor electric car average cell capacity；M is the quantity of charging pile；C is the mean power of separate unit charging pile；TV
Indicate the charging pile effective time.
The calculation method of the charging station location is as follows: obtaining objective function by establishing site selection model；
Utilize shortest distance matrix between floyd algorithm acquisition crossingWithShortest path sequence
It willIt brings objective function into and charging station location is calculated:
Wherein: N indicates junction node number；HiIndicate the day charging vehicle aggregate demand of junction node i；DijIndicate crossing section
The actual range of point i to junction node j,Indicate shortest path length, XijFor decision variable, then:
Wherein,Meet user's charge requirement at each crossing.
The floyd algorithm establishes initial table using double labels；Double labels establish initial table and establish row coordinate i, indulge
Coordinate j；Each cell noteIn double labelsIndicate shortest path length,Indicate shortest path sequence
Column.Occur phenomenon of reverse order in order to prevent, on the path of node i and j, TijThe node that node i should reach first is indicated, initial
In table,It can make the T of final outputijCan sequentially show node i to node j shortest path.
ForAndI.e. in algorithm iteration to kth time, i-node
The distance of distance and k node to j node to k node keeps the value of previous step iteration constant.
The foundation charging queuing model cost minimization turns to objective function, so that it is determined that the optimal charging pile in charging station
Configure quantity；Its objective function are as follows:
MinF=365 × (C1Ls+mqC2)×TV (5)
Wherein: mqIndicate the quantity of charging pile in q-th of charging station, q=1,2,3 ... Nch；C1When indicating the waiting of user
Between cost；LsIndicate average queue length；C2Indicate charging pile service time cost；TVIndicate the charging pile effective time；
Due to the configuration quantity m of charging pileqIt is integer, F (mq) it is discrete function, charging pile is solved using technique of marginal analysis
Quantity；The determination of charging pile quantity is as follows in charging station q:
Abbreviation obtains:
The quantity of the charging pile in each charging station is found out by (6) formula.
The planning region totle drilling cost includes charging station totle drilling cost and user's totle drilling cost Z=Z1+Z2；
The charging station totle drilling cost:
Z1q2=(mqa+nqb+cq)×k
Z1q3=[nq(CF+CC)+mq(Cl+Cd)×kt]×TV×365×P (7)
Wherein: Z1q1Indicate the charging station construction cost that number q is；mqFor charging pile quantity；A is the unit price of charging pile；nq
The number transformer being equipped with for charging station q；B is the unit price of transformer；cqFor the capital cost of charging station q；r0For discount rate；Z is
Run the time limit；Z1q2Indicate operation maintenance cost, k is conversion factor；Z1q3Indicate grid loss expense；CFAnd CCFor transformer
Iron loss and copper loss；ClAnd CdIt is the loss value of charging pile for the conversion of charging station line loss；ktFor charging pile work simultaneity factor；TV
For charging pile average daily effective charging time；P is the electricity rates that operator pays to Utilities Electric Co.；
User's totle drilling cost: Z2=Z2q1+Z2q2+Fmin
Z2q1=pQq×365
Wherein: p is user's charging electricity price；QqFor the average charging load number daily of the user in charging station q service range；Nq
For averagely daily charging vehicle number；D is the average charge distance that crossing vehicle reaches charging station；G is electric car in unit
The distance that can be travelled under electricity；V is electric automobile during traveling speed；K is Subscriber Unit travel time value.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations
Also it should be regarded as protection scope of the present invention.
Claims (8)
1. a kind of method of electric automobile charging station addressing constant volume, which is characterized in that described method includes following steps:
Obtain Regional Road Network structure diagram；
Calculate separately the charging station quantity that Regional Road Network needs to build, junction node traffic flow density, total charge volume demand；
Site selection model is established, the specific location of charging station is solved；
Charging queuing model is established, the charging pile quantity configuration in charging station is optimized；
Charging pile quantity in each station obtained according to the quantity of required construction charging station and optimization, exports planning region assembly
This.
2. the method for electric automobile charging station addressing constant volume according to claim 1, which is characterized in that according to the region
Road network structure schematic diagram obtains shortest distance matrixWherein i, j=1,2 ... n-1, n；InIn can be divided into
Several situations below:
3. the method for electric automobile charging station addressing constant volume according to claim 1, which is characterized in that the junction node
Traffic flow density calculation method are as follows:
If s section is connected with junction node j, e-th of section symbol j being connected with junction node je' indicate, wherein e=1,
2,3,…s；pt e(j,je') indicate t moment node j and node je' connected e-th of section traffic flow density, then crossing
Traffic flow density of the node j in the junction node of t moment:
If there is n junction node in planning region, the total charge volume demand Q of planning region in the T period is obtained by (1) formula are as follows:
Wherein, α is electric vehicle ownership ratio in region, and β is Vehicular charging ratio in region, CvFor electric car average cell
Capacity.
4. the method for electric automobile charging station addressing constant volume according to claim 3, which is characterized in that the charging station number
The calculation method of amount is as follows:
(2) formula of utilization calculates to obtain charging station quantity:
Wherein: N indicates planning region junction node number；NiFor the electric car quantity of road cross node i；β is vehicle in region
Charge Proportional；CvFor electric car average cell capacity；M is the quantity of charging pile；C is the mean power of separate unit charging pile；TVTable
Show the charging pile effective time.
5. the method for electric automobile charging station addressing constant volume according to claim 1, which is characterized in that the charging erect-position
The calculation method set is as follows:
Objective function is obtained by establishing site selection model；
Utilize shortest distance matrix between floyd algorithm acquisition crossingWithShortest path sequence
It willIt brings objective function into and charging station location is calculated:
Wherein: N indicates planning region junction node number；HiIndicate the day charging vehicle aggregate demand of junction node i；DijIndicate road
Mouthful node i to junction node j actual range,Indicate shortest path length, XijFor decision variable, then:
Wherein,Meet user's charge requirement at each crossing.
6. the method for electric automobile charging station addressing constant volume according to claim 5, which is characterized in that the floyd is calculated
Method establishes initial table using double labels；Double labels establish initial table and establish row coordinate i, ordinate j.
7. the method for electric automobile charging station addressing constant volume according to claim 1, which is characterized in that the foundation charging
Queuing model cost minimization turns to objective function, so that it is determined that the optimal charging pile in charging station configures quantity；Its objective function
Are as follows:
MinF=365 × (C1Ls+mqC2)×TV (5)
Wherein: mqIndicate the quantity of charging pile in q-th of charging station, q=1,2,3 ... Nch；C1Indicate user waiting time at
This；LsIndicate average queue length；C2Indicate charging pile service time cost；TVIndicate the charging pile effective time；
Due to the configuration quantity m of charging pileqIt is integer, F (mq) it is discrete function, the number of charging pile is solved using technique of marginal analysis
Amount；The determination of charging pile quantity is as follows in charging station q:
Abbreviation obtains:
The quantity of the charging pile in each charging station is found out by (6) formula.
8. the method for electric automobile charging station addressing constant volume according to claim 1, which is characterized in that the planning region
Totle drilling cost includes charging station totle drilling cost and user's totle drilling cost Z=Z1+Z2；
The charging station totle drilling cost:
Z1q2=(mqa+nqb+cq)×k
Z1q3=[nq(CF+CC)+mq(Cl+Cd)×kt]×TV×365×P (7)
Wherein: Z1q1Indicate the charging station construction cost that number q is；mqFor charging pile quantity；A is the unit price of charging pile；nqTo fill
The number transformer that power station q is equipped with；B is the unit price of transformer；cqFor the capital cost of charging station q；r0For discount rate；Z is operation
The time limit；Z1q2Indicate operation maintenance cost, k is conversion factor；Z1q3Indicate grid loss expense；CFAnd CCFor the iron loss of transformer
And copper loss；ClAnd CdIt is the loss value of charging pile for the conversion of charging station line loss；ktFor charging pile work simultaneity factor；TVTo fill
Electric stake average daily effective charging time；P is the electricity rates that operator pays to Utilities Electric Co.；
User's totle drilling cost: Z2=Z2q1+Z2q2+Fmin
Z2q1=pQq×365
Wherein: p is user's charging electricity price；QqFor the average charging load number daily of the user in charging station q service range；NqIt is flat
Daily charging vehicle number；D is the average charge distance that crossing vehicle reaches charging station；G is electric car in unit quantity of electricity
The distance that can be travelled down；V is electric automobile during traveling speed；K is Subscriber Unit travel time value.
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ID=68482605
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111667202A (en) * | 2020-07-16 | 2020-09-15 | 云南电网有限责任公司 | Site selection method and device for electric vehicle charging station |
| CN112053053A (en) * | 2020-08-31 | 2020-12-08 | 深圳供电局有限公司 | Electric vehicle charging station site selection method |
| CN112085381A (en) * | 2020-09-07 | 2020-12-15 | 南通电力设计院有限公司 | Multi-objective optimization electric vehicle charging station planning method |
| CN112200471A (en) * | 2020-10-15 | 2021-01-08 | 国网北京市电力公司 | Charging pile quantity configuration method and device and charging pile distribution system |
| WO2021098352A1 (en) * | 2019-11-22 | 2021-05-27 | 国网福建省电力有限公司 | Active power distribution network planning model establishment method taking into consideration site selection and capacity determination of electric vehicle charging stations |
| CN113139150A (en) * | 2021-04-02 | 2021-07-20 | 清华大学深圳国际研究生院 | Method for improving layout of electric vehicle charging facilities and computer readable storage medium |
| CN113435777A (en) * | 2021-07-13 | 2021-09-24 | 北京交通大学 | Planning method and system for electric operating vehicle charging station |
| CN113435790A (en) * | 2021-07-29 | 2021-09-24 | 广东工业大学 | Design method of electric bus charging and replacing station |
| CN114548484A (en) * | 2022-01-07 | 2022-05-27 | 国网湖北省电力有限公司黄冈供电公司 | Site selection planning method for electric vehicle charging station |
| US11878602B2 (en) | 2019-11-22 | 2024-01-23 | State Grid Fujian Electric Power Co., Ltd. | Method for establishing active distribution network planning model considering location and capacity determination of electric vehicle charging station |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2021098352A1 (en) * | 2019-11-22 | 2021-05-27 | 国网福建省电力有限公司 | Active power distribution network planning model establishment method taking into consideration site selection and capacity determination of electric vehicle charging stations |
| US11878602B2 (en) | 2019-11-22 | 2024-01-23 | State Grid Fujian Electric Power Co., Ltd. | Method for establishing active distribution network planning model considering location and capacity determination of electric vehicle charging station |
| CN111667202A (en) * | 2020-07-16 | 2020-09-15 | 云南电网有限责任公司 | Site selection method and device for electric vehicle charging station |
| CN112053053A (en) * | 2020-08-31 | 2020-12-08 | 深圳供电局有限公司 | Electric vehicle charging station site selection method |
| CN112053053B (en) * | 2020-08-31 | 2023-10-27 | 深圳供电局有限公司 | Electric vehicle charging station site selection method |
| CN112085381A (en) * | 2020-09-07 | 2020-12-15 | 南通电力设计院有限公司 | Multi-objective optimization electric vehicle charging station planning method |
| CN112200471A (en) * | 2020-10-15 | 2021-01-08 | 国网北京市电力公司 | Charging pile quantity configuration method and device and charging pile distribution system |
| CN112200471B (en) * | 2020-10-15 | 2023-11-21 | 国网北京市电力公司 | Charging pile quantity configuration method and device and charging pile distribution system |
| CN113139150B (en) * | 2021-04-02 | 2022-11-08 | 清华大学深圳国际研究生院 | Method for improving layout of electric vehicle charging facilities and computer readable storage medium |
| CN113139150A (en) * | 2021-04-02 | 2021-07-20 | 清华大学深圳国际研究生院 | Method for improving layout of electric vehicle charging facilities and computer readable storage medium |
| CN113435777A (en) * | 2021-07-13 | 2021-09-24 | 北京交通大学 | Planning method and system for electric operating vehicle charging station |
| CN113435790A (en) * | 2021-07-29 | 2021-09-24 | 广东工业大学 | Design method of electric bus charging and replacing station |
| CN114548484A (en) * | 2022-01-07 | 2022-05-27 | 国网湖北省电力有限公司黄冈供电公司 | Site selection planning method for electric vehicle charging station |
| CN114548484B (en) * | 2022-01-07 | 2023-01-24 | 国网湖北省电力有限公司黄冈供电公司 | Site selection planning method for electric vehicle charging station |
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Application publication date: 20191115 |
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