CN109376894A - Colleges and universities' electrically-charging equipment quantitative approach based on queueing theory optimum cost model - Google Patents
Colleges and universities' electrically-charging equipment quantitative approach based on queueing theory optimum cost model Download PDFInfo
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Abstract
The present invention is based on colleges and universities' electrically-charging equipment quantitative approach of queueing theory optimum cost model to belong to electric automobile charging station capacity planning technical field more particularly to a kind of colleges and universities' electrically-charging equipment quantitative approach based on queueing theory optimum cost model.The present invention carries out the prediction and planning of electrically-charging equipment from the parking demand of electric car, the i.e. permeability of electric car, and then in view of the charge requirement of electric car establishes bilayer model.Upper layer model is the parking facilities' forecasting of colleges and universities' electric car, and underlying model is the electrically-charging equipment computation model based on queueing theory.There is some reference value for colleges and universities' electrically-charging equipment planning and designing.
Description
Technical field
The invention belongs to electric automobile charging station capacity planning technical field, more particularly to one kind are best based on queueing theory
Colleges and universities' electrically-charging equipment quantitative approach of cost model.
Background technique
In recent years, the aggravation of environmental pollution and the development of battery technology push being constantly progressive for electric car industry.It fills
An important ring of the electric infrastructure as electric car industry, planning theory and practice are always research hotspot in recent years
One of problem.Electric car charging infrastructure cannot only rely only on biography due to having both parking and electric charging dual function attribute
The parking prediction of system is planned.And colleges and universities are different from general commercial land and residential estate, unique multiple land character
Planning theory personnel are also required to further investigate and inquire into.
The present invention considers electric car from the parking demand of electric car, the i.e. permeability of electric car
Charge requirement establish bilayer model, carry out the prediction and planning of electrically-charging equipment.Upper layer model is the parking of colleges and universities' electric car
Requirement forecasting, underlying model are the electrically-charging equipment computation model based on queueing theory.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of, and colleges and universities' charging based on queueing theory optimum cost model is set
Apply quantitative approach, comprising the following steps:
Step 1: to colleges and universities' electric car parking facilities' forecasting；
Step 2: the queuing model of electric car electrically-charging equipment is established；
Step 3: by the optimal cost Benefit Model of electrically-charging equipment queuing system unit time be divided into cost model on daytime with
Night cost model, wherein each cost model includes electrically-charging equipment service fee and electric car waits in line expense two parts, and
Two parts cost model is normalized；
Step 4: it is solved using technique of marginal analysis, by the s value different to mode input, is enabled:
Fs < Fs+1 and Fs < Fs-1,
Obtain the model optimal solution；In above formula, Fs is charging total cost.
Further, the step 1 specifically:
Step 1.1: colleges and universities' electric car permeability being predicted in conjunction with current policies, industry Situation；
Step 1.2: stopping and need to colleges and universities' electric car in conjunction with the specific personnel depaly of colleges and universities, living area house configuring condition
It asks and is predicted.
Further, the step 2 specifically:
Step 2.1: determining electric car arrival rate λ, charging infrastructure service rate μ；
Step 2.2: the probability of electrically-charging equipment free time is calculated:
Step 2.3: the average queuing number to be serviced such as it is calculated:
Step 2.4: the average traffic number in system: L is calculateds=Lq+ρ；
Step 2.5: each car average waiting service time is calculated:
Step 2.6: each car mean consumption time in system is calculated:
Further, the step 3 specifically:
Step 3.1: obtaining cost model on daytime is FIt is white=C1*s+CIt is white*LS is white；
In above formula, CIt is whiteWait in line cost coefficient, L for single electric car in the unit time on daytimeS is whiteFor row on daytime
Average traffic number in team's system；
Step 3.2: obtaining night cost model is FNight=C1*s+CNight*LS night；
In above formula, FNightFor queuing system night, total cost unit time, CNightFor single electric car in the unit time at night
Wait in line cost coefficient, LS nightFor the average traffic number in night queuing system, C1For single electrically-charging equipment in the unit time
Service fee coefficient；
Step 3.3: obtaining total cost model is F=ωIt is white*FIt is white+ωNight*FNight；
In above formula, F is queuing system unit time total cost；FIt is whiteFor queuing system on daytime unit time total cost； FNightFor
Queuing system night, total cost unit time；ωIt is whiteFor queuing system on daytime unit time total cost normalization coefficient；ωNightFor night
Late queuing system unit time total cost normalization coefficient.
The invention has the following beneficial effects: the present invention is from the parking demand of electric car, the i.e. permeability of electric car,
And then in view of the charge requirement of electric car establishes bilayer model, the prediction and planning of electrically-charging equipment are carried out.Upper layer model is
The parking facilities' forecasting of colleges and universities' electric car, underlying model are the electrically-charging equipment computation model based on queueing theory.Colleges and universities are filled
Electric facilities planning and design has very high reference value.
Specific embodiment
By taking certain colleges and universities as an example, embodiment is further illustrated.
Step 1.1 predicts colleges and universities' electric car permeability in conjunction with current policies, industry Situation.Comprehensively consider height
School electric car permeability Correlative Influence Factors take Staffs in University electric car permeability αIt is whiteIt is 5%, living area is electronic
Automobile permeability αNightIt is 3%.
Step 1.2, prediction the year two thousand twenty school teaching and administrative staff's electric car ownership are 32, and living area electric car is possessed
Amount is 45.
Step 2 obtains the model parameter.The vehicles number for reaching campus obeys Poisson distribution.It is protected according to electric car
The amount of having predicts the year two thousand twenty electric car on daytime arrival rate λ1For 4.5/hour, night arrival rate λ2For 6.4/hour.Due to
The common AC system charging pile of existing market is full of electricity time-consuming about 40 minutes of 80%.So electrically-charging equipment service rate takes 1.5
A/hour.
Step 3 obtains cost-benefit model parameter.
With reference to existing research achievement, electrically-charging equipment is taken to be averaged construction cost as 2.5 ten thousand yuan/.It is residual with 7 years service life
Value rate 5%, utilization rate 40% calculate, and electrically-charging equipment allowance for depreciation is 3.26 yuan/hour.
Electrically-charging equipment operation maintenance expense refer to current industry operation situation, each charging pile operation maintenance expense take 0.45 yuan/
Hour.
The electrically-charging equipment electricity consumption of China university setting executes " general industry and commerce and other " class electricity rates.With reference to country
Power grid price, 1-20 kilovolts of general industry and commerce and other electricity consumption electricity prices are 0.8216 yuan/kilowatt hour.Charging pile rated power
The most common 15kW in market is taken, then each charging pile charging electricity Unit Price is 12.32 yuan/hour.
Consider daytime and night parking demand quantity and duration factor, takes ωIt is white、ωNightRespectively 0.45,0.55.
The model calculation is obtained to be as follows:
It is found by comparing, optimal electrically-charging equipment quantity s is 7.
Claims (4)
1. a kind of colleges and universities' electrically-charging equipment quantitative approach based on queueing theory optimum cost model, it is characterised in that: including following step
It is rapid:
Step 1: to colleges and universities' electric car parking facilities' forecasting；
Step 2: the queuing model of electric car electrically-charging equipment is established；
Step 3: the optimal cost Benefit Model of electrically-charging equipment queuing system unit time is divided into cost model on daytime and night
Cost model, wherein each cost model includes electrically-charging equipment service fee and electric car waits in line to take two parts, and by two
Part cost model is normalized；
Step 4: it is solved using technique of marginal analysis, by the s value different to mode input, is enabled:
Fs < Fs+1 and Fs < Fs-1,
Obtain the model optimal solution；In above formula, Fs is charging total cost.
2. a kind of colleges and universities' electrically-charging equipment quantitative approach based on queueing theory optimum cost model according to claim 1,
It is characterized in that, the step 1 specifically:
Step 1.1: colleges and universities' electric car permeability being predicted in conjunction with current policies, industry Situation；
Step 1.2: colleges and universities' electric car parking demand being carried out in conjunction with the specific personnel depaly of colleges and universities, living area house configuring condition
Prediction.
3. a kind of colleges and universities' electrically-charging equipment quantitative approach based on queueing theory optimum cost model according to claim 1,
It is characterized in that, the step 2 specifically:
Step 2.1: determining electric car arrival rate λ, charging infrastructure service rate μ；
Step 2.2: the probability of electrically-charging equipment free time is calculated:
Step 2.3: the average queuing number to be serviced such as it is calculated:
Step 2.4: the average traffic number in system: L is calculateds=Lq+ρ；
Step 2.5: each car average waiting service time is calculated:
Step 2.6: each car mean consumption time in system is calculated:
4. a kind of colleges and universities' electrically-charging equipment quantitative approach based on queueing theory optimum cost model according to claim 1,
It is characterized in that, the step 3 specifically:
Step 3.1: obtaining cost model on daytime is FIt is white=C1*s+CIt is white*LS is white；
In above formula, CIt is whiteWait in line cost coefficient, L for single electric car in the unit time on daytimeS is whiteFor queuing system on daytime
In average traffic number；
Step 3.2: obtaining night cost model is FNight=C1*s+CNight*LS night；
In above formula, FNightFor queuing system night, total cost unit time, CNightFor the row of single electric car in the unit time at night
Team's waiting cost coefficient, LS nightFor the average traffic number in night queuing system, C1For the clothes of electrically-charging equipment single in the unit time
Business cost coefficient；
Step 3.3: obtaining total cost model is F=ωIt is white*FIt is white+ωNight*FNight；
In above formula, F is queuing system unit time total cost；FIt is whiteFor queuing system on daytime unit time total cost；FNightFor night
Queuing system unit time total cost；ωIt is whiteFor queuing system on daytime unit time total cost normalization coefficient；ωNightFor night row
Team's system unit time total cost normalization coefficient.
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| CN201810952868.XA CN109376894A (en) | 2018-08-21 | 2018-08-21 | Colleges and universities' electrically-charging equipment quantitative approach based on queueing theory optimum cost model |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105760949A (en) * | 2016-02-04 | 2016-07-13 | 国网山东省电力公司经济技术研究院 | Optimizing configuration method for amount of chargers of electromobile charging station |
| CN106779176A (en) * | 2016-11-25 | 2017-05-31 | 北京交通大学 | Electric taxi fills electrically-charging equipment configuration and constant volume method in station soon |
-
2018
- 2018-08-21 CN CN201810952868.XA patent/CN109376894A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105760949A (en) * | 2016-02-04 | 2016-07-13 | 国网山东省电力公司经济技术研究院 | Optimizing configuration method for amount of chargers of electromobile charging station |
| CN106779176A (en) * | 2016-11-25 | 2017-05-31 | 北京交通大学 | Electric taxi fills electrically-charging equipment configuration and constant volume method in station soon |
Non-Patent Citations (2)
| Title |
|---|
| 李如琦等: "《基于排队论的电动汽车充电设施优化配置》", 《电力***自动化》 * |
| 李建军等: "《基于排队模型的电动汽车充电桩数量优化设计》", 《数学的实践与认识》 * |
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Application publication date: 20190222 |