CN104077635B - A kind of electric automobile charging station charging optimization method based on photovoltaic generating system - Google Patents
A kind of electric automobile charging station charging optimization method based on photovoltaic generating system Download PDFInfo
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- CN104077635B CN104077635B CN201410325463.5A CN201410325463A CN104077635B CN 104077635 B CN104077635 B CN 104077635B CN 201410325463 A CN201410325463 A CN 201410325463A CN 104077635 B CN104077635 B CN 104077635B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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Abstract
The invention discloses a kind of electric automobile charging station charging optimization method based on photovoltaic generating system, this method step includes respectively being predicted the photovoltaic generation characteristic curve, charging electric vehicle load and electric automobile quantity on the same day；Establish automobile user price response model and charging service Price optimization model；Object function is established with the minimum target of the photovoltaic generation amount of giving up and solved, and according to the same day charging service price result tried to achieve, carries out charging station same day operation；Terminate same day charging operation, according to the charging load prediction of next day of same day actual conditions amendment and the knee value of automobile user charging service price corresponding model；According to the parameter value of amendment, repeat the above steps, optimize the charging station operation of second day.The present invention can effectively overcome influence of the charging electric vehicle to power network, while improve photovoltaic utilization rate, reduce the charging cost of automobile user.
Description
Technical field
The present invention relates to one kind charge optimization method, more particularly to it is a kind of based on photovoltaic generating system be applied to it is public
Region electric automobile charging station charging optimization method.
Background technology
Pure electric automobile has the characteristic of zero-emission, turns into the important hand for solving large- and-medium size cities environment and atmosphere pollution
Section.Domestic main cities have had begun to the popularization and application of pure electric passenger vehicle, are concentrated mainly on taxi, government's car for public affairs
Aspect, and gradually extended to individual using field.Because large- and-medium size cities private car parking stall is few, private uses pure electric automobile
Care and maintenance system missing present situation, before there is the private group customer pattern using feature to possess good popularization
Scape.Automobile user under group customer pattern is mainly enterprises and institutions, colleges and universities employee, charging electric vehicle infrastructure
Mainly build in internal institution centralization parking lot, belong to public domain electric automobile charging station.Large-scale charging basis
The access of facility can impact to Generation Side, power transmission network and power distribution network, and the research both at home and abroad to such charging station is main at present
Concentrate on to charging in load power control method, to reduce maximum peak power, peak load shifting etc. as main control mesh
Mark, mainly controlling charge power, change charging interval using pressure, automobile user can only passively receive regulation and control as means,
The charging interval can not be actively selected, response model of the pure electric automobile user to tou power price is not set up, does not consider electric automobile
The subjective desire and charging expense expenditure of user.In the business that existing electric vehicle user, charging station operator, power supply enterprise participate in
In industry pattern, the access of the new energy such as bidirectional optimistic charge control strategy and photovoltaic based on user response should be more paid close attention to,
Meet to reduce influence and reduction charging expense of the charging load to power distribution network simultaneously, make charging station operator and electric vehicle user
Make a profit simultaneously, make whole business model sustainable development, improve the adaptability of charging infrastructure construction.
Accordingly, it is desirable to provide a kind of charging optimization method suitable for public domain electric automobile charging station, to reduce electricity
Influence of the electrical automobile charging to power network, improve photovoltaic utilization rate and reduce the charging cost of automobile user.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of electronic suitable for public domain based on photovoltaic generating system
Vehicle charging station charging optimization method, to overcome influence of the charging electric vehicle to power network, while improves photovoltaic utilization rate, reduces
The charging cost of automobile user.
In order to solve the above technical problems, the present invention uses following technical proposals；
It is a kind of that public domain electric automobile charging station charging optimization method, this method are applied to based on photovoltaic generating system
Including
S1, according to same day weather condition and electric automobile driving behavior respectively to photovoltaic generation characteristic curve, the electricity on the same day
Electrical automobile charging load and electric automobile quantity are predicted；
S2, according to the photovoltaic generation characteristic curve and charging electric vehicle load predicted in step S1, establish electric automobile
User price response model and charging service Price optimization model；
S3, object function is established with the minimum target of the photovoltaic generation amount of giving up and solved, and charged according to the same day tried to achieve
Service price result, carry out charging station same day operation；
S4, terminate same day charging operation, according to the charging load prediction of next day of same day actual conditions amendment and electronic vapour
The knee value of automobile-used family charging service price corresponding model；
S5, the parameter value according to amendment, repeat step S1 to S3, optimize the charging station operation of second day.
Preferably, the step 1 includes
S11, according to the weather condition on the same day predict same day photovoltaic generation characteristic；
S12, charging electric vehicle load predicted according to electric automobile driving behavior, and filled every time based on different electric automobiles
Electric duration and charge power for definite value it is assumed that determine day part initiation of charge electric automobile quantity, wherein, day part be by
It is divided within 24 hours 24 periods, a hour is a period.
Preferably, the step 2 includes
S21, automobile user response parameter is obtained, according to the form of piecewise linear function, when establishing peak-to-valley respectively
Section, the section of peak-usually, flat-paddy period automobile user price response model；
S22, the conceptual vector for defining peak Pinggu period respectively and peak valley, peak are put down, the price difference variable of Pinggu period, are made
For the optimized variable of object function, and according to automobile user price response model and the electric automobile of day part initiation of charge
Quantity, the method that transfer is evenly distributed according to day part obtain fitting charging load expressions formula；
S23, the charging load expressions formula obtained according to same day photovoltaic generation characteristic curve and you and fitting, obtain peak valley and fill
Electric service price implements the forward and backward photovoltaic amount of giving up expression formula；
The equation of S24, foundation using charging service price valley as variable, so that it is determined that charging service price basis value.
Preferably, the charging service price valley will be used as mesh for the equation of variable using the amount of giving up for reducing photovoltaic generation
Mark optimization, the expense of operator's power network power purchase is reduced, meanwhile, operator is by the expense of reduction according to certain ratio and electric automobile
User is totally divided into, so as to reduce the total bulk charging expense of electric automobile group user.
Preferably, the step 3 includes
S31, object function established with the minimum target of the photovoltaic generation amount of giving up, wherein, peak Pinggu period conceptual vector, fill
Electric service price a reference value and peak valley, peak are flat, the price difference of Pinggu period is optimized variable；
S32, the constraints that charging service price bound, peak Pinggu Time segments division and distribution capacity are set respectively；
S33, using the method for exhaustion object function is solved, obtain peak Pinggu period during the photovoltaic generation amount of giving up minimum
Conceptual vector, charging service price basis value and peak valley, peak are put down, the price difference of Pinggu period, the charging service valency as the same day
Lattice.
Beneficial effects of the present invention are as follows：
The technical scheme present invention of the present invention can effectively overcome influence of the charging electric vehicle to power network, while improve light
Utilization rate is lied prostrate, reduces the charging cost of automobile user.The present invention is used for electric vehicle by formulating charging service price guidance
The method at family is than controlling the method for load to reach good charging effect of optimization；The present invention establishes electric automobile for group customer
User price response model, responsiveness of the automobile user to price can be reflected；List is considered during present invention optimization
The continuity of charging electric vehicle duration, meets actual traffic-operating period.
Brief description of the drawings
The embodiment of the present invention is described in further detail below in conjunction with the accompanying drawings；
Fig. 1 shows the charging optimization method flow suitable for public domain electric automobile charging station of the embodiment of the present invention
Figure；
Fig. 2 shows the response characteristic figure of the peak-to-valley period automobile user of inventive embodiments；
Fig. 3 shows the public domain electric automobile charging station business circuit figure of inventive embodiments；
Fig. 4 shows input and the output result curve of inventive embodiments.
Embodiment
The present invention is described further with reference to one group of embodiment and accompanying drawing.
It is that one kind is applied to public domain the invention discloses the technical solution adopted for the present invention to solve the technical problems
The charging optimization method of electric automobile charging station.As shown in figure 1, it is applied to public domain electric automobile for the embodiment of the present invention
The charging optimization method flow chart of charging station, according to prediction same day charging electric vehicle load and photovoltaic generation characteristic curve, lead to
The method for crossing objective function optimization formulates same day charging service price, and guiding group user charges in public domain charging station.With
Construction is example in the charging station containing photovoltaic generating system of certain colleges and universities, below in conjunction with the accompanying drawings the specific side with example to the present invention
Method is described further：
Firstth, before the operation of the charging station same day starts, same day photovoltaic generation characteristic curve is predicted according to same day weather conditionElectric automobile charges duration T every timecharg=2h and charge power Pcharg=3kW is definite value, and is determined
The value of the two parameters, charging electric vehicle load is predicted according to electric automobile driving behaviorAnd according to
Below equation determines the electric automobile quantity of day part initiation of charge.
Secondth, automobile user price response model and charging service Price optimization model are established.
1st, automobile user response characteristic parameter is obtained, establishes peak-to-valley period, the section of peak-usually, flat-paddy period respectively
Automobile user price response model, as shown in Figure 2.Chatted by taking peak-to-valley period automobile user price response model as an example
Its detailed step is stated, the establishment step of other two models is identical with this.By the method for investigation, it is electronic to obtain the peak-to-valley period
The parameter of user vehicle response characteristic, including dead band threshold value Δ cpv,1=0, saturation region threshold value Δ cpv,2=1, user's percentage is shifted
The saturation value α of ratiopv,max=100%, and obtain linear zone slope kpv=αpv,max/(Δcpv,2-Δcpv,1)=1, is thus obtained
The peak-to-valley period expression formula of automobile user response characteristic is：
2nd, peak Pinggu period conceptual vector is defined：Lab=[lab1,lab2…lab24], work as labiWhen=3, when representing i-th
Section is the peak period of charging service price；Work as labiWhen=2, the usually section that the i-th period was charging service price is represented；Work as labi
When=1, the paddy period that the i-th period was charging service price is represented；Work as labiWhen=0, the i-th period of expression is night-time hours, nothing
Charging service price.Define peak valley, peak is put down, the price difference Δ c of Pinggu periodpv、Δcpf、Δcfv.Above variable is object function
Optimized variable.According to the parameter of automobile user price response model, peak Pinggu period in charging service price is obtained
Under dividing mode, peak period sum and the usually section sum L of the distribution of initiation of charge vehiclep,all、Lf,all, Yi Jifeng, flat, Gu Shi
The length T of sectionp、Tf、Tv, and according to the electric automobile quantity N of day part initiation of chargeEV,i, substitute into below equation and obtain fitting and fill
Electric load expression formula：
3rd, according to obtained same day photovoltaic generation characteristic curveObtained with step (2-2)
Fitting charging loadThe photovoltaic after peak valley charging service price is implemented is obtained according to below equation to give up
The amount of abandoning expression formula, if by below equationReplace withObtain QVlostRepresent peak valley charging service price reality
The photovoltaic amount of giving up before applying.
4th, charging service price basis value, i.e. charging service price valley c are determinedv.Charging clothes are determined according to below equation
Business price basis value, wherein Np、Nf、NvIt is illustrated respectively in peak, flat, the charging of paddy period automobile user number；cp、cf、cv
The peak of charging service price, flat, valley, c are represented respectivelyp=cv+Δcpv, cf=cv+Δcfv；Np、Nf、NvBe illustrated respectively in peak,
Flat, the charging of paddy period automobile user number； c0Represent the charging single price before the implementation of charging service price；t0Represent
Power network electricity price；Ratio expression automobile user totality is divided into ratio.
(cp·Np+cf·Nf+cv·Nv)·Tcharg·Pcharg=c0·(Np+Nf+Nv)·Tcharg·Pcharg-ratio·
t0·(QVlost-Q'Vlost)
3rd, the foundation and solution of object function.
1st, object function is established with the minimum target of the photovoltaic generation amount of giving up, wherein peak, three, flat, paddy when segment mark to
Amount, charging service price basis value and peak valley, peak are put down, the price difference of Pinggu period is optimized variable.Because photovoltaic generation only exists
Daytime is carried out, and the service time of charging station is 7 in example:00~18:00, therefore with matrix V=[v1,v2...vm] respectively
7:00~17：The peak interval of time division result of 00 charging service price, wherein m=11 represent the length of daytime period, viRepresent
Peak Pinggu attribute of period on daytime i-th.
F=minQ'Vlost
The 2nd, constraints is set.
A) charging service price bound constrains：0 ＜ cv＜ cf＜ cp＜ 1；
B) peak Pinggu Time segments division constrains, and makes last TchargIndividual period attribute is identical：
C) distribution capacity constrains, and the charging electric vehicle load after charging service price is implemented should be in the service energy of charging station
Within power：
3rd, write program to solve object function using the method for exhaustion, during peak Pinggu when obtaining the photovoltaic generation amount of giving up minimum
Segment mark vector, charging service price basis value and peak valley, peak are put down, the price difference of Pinggu period, the charging service as the same day
Price.Optimize the same day charging service price of gained Time segments division mode and fitting charging load curve as shown in figure 4, during peak
Section is 7:00~10:00,0.71 yuan of peak valency；Usually section is 10:00~12：00,0.61 yuan of par；The paddy period is 12:00~
18:00,0.31 yuan of paddy valency.
4th, the charging station same day runs, and its flow is as shown in Figure 3.
1st, obtained same day charging service price result being published to charging reservation platform, the operation of the charging station same day starts,
Automobile user is by various modes (such as SMS, surfing Internet with cell phone, online computing), according to the charging service of different periods
Price carries out reservation charging.
2nd, electric automobile is driven into charging station and charged in the initial time for preengaging the period by user, in reservation period knot
Beam moment complete charge, user be connected to SMS notification come charging station pay the fees and electric automobile is sailed out of into charging station.
5th, end of day is worked as, charging station operator is bent according to the actual charging load curve on the same day and actual photovoltaic generation
The charging load prediction of next day of line amendment, and the real response situation according to automobile user to same day charging service price
Correct the knee value of automobile user charging service price response model.Corrected parameter value is updated, transported in second day
Before battalion starts, the first step is returned to.
6th, as shown in table 1, same day optimum results contrast.Under the embodiment of the present invention before and after charging service price guidance
Items contrast is as shown in the table, therefore by charging service price guidance, can reach and reduce the photovoltaic amount of giving up target, subtract simultaneously
The power network purchase of electricity of Shao Liao operators and the peak value reduction of charging electric vehicle load, have reached the effect of peak clipping, reduction is filled
Influence of the electric load to power network.
Table 1 uses data comparison before and after the method for the invention
In summary, the technical scheme present invention of the present invention can effectively overcome influence of the charging electric vehicle to power network,
Photovoltaic utilization rate is improved simultaneously, reduces the charging cost of automobile user.The present invention is by formulating charging service price guidance
The method of automobile user is than controlling the method for load to reach good charging effect of optimization；The present invention is built for group customer
Vertical automobile user price response model, can reflect responsiveness of the automobile user to price；Present invention optimization
When consider the continuity of single charging electric vehicle duration, meet actual traffic-operating period.
Obviously, the above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not pair
The restriction of embodiments of the present invention, for those of ordinary skill in the field, may be used also on the basis of the above description
To make other changes in different forms, all embodiments can not be exhaustive here, it is every to belong to this hair
Row of the obvious changes or variations that bright technical scheme is extended out still in protection scope of the present invention.
Claims (5)
- A kind of 1. electric automobile charging station charging optimization method based on photovoltaic generating system, it is characterised in that this method step IncludingS1, according to same day weather condition and electric automobile driving behavior the photovoltaic generation characteristic curve to the same day, electronic vapour respectively Car charging load and electric automobile quantity are predicted；S2, according to the photovoltaic generation characteristic curve and charging electric vehicle load predicted in step S1, establish automobile user Price response model and charging service Price optimization model；S3, object function is established with the minimum target of the photovoltaic generation amount of giving up and solved, and according to the same day charging service tried to achieve Price result, carry out charging station same day operation；S4, terminate same day charging operation, according to the charging load prediction of next day of same day actual conditions amendment and used for electric vehicle The knee value of family price response model；S5, the parameter value according to amendment, repeat step S1 to S3, optimize the charging station operation of second day.
- 2. charging optimization method according to claim 1, it is characterised in that the step S1 includesS11, according to the weather condition on the same day predict same day photovoltaic generation characteristic；S12, charging electric vehicle load predicted according to electric automobile driving behavior, and when being charged every time based on different electric automobiles Long and charge power is definite value it is assumed that determining the electric automobile quantity of day part initiation of charge.
- 3. charging optimization method according to claim 1, it is characterised in that the step S2 includesS21, obtain automobile user response parameter, according to the form of piecewise linear function, establish respectively the peak-to-valley period, peak- Usually section, flat-paddy period automobile user price response model；S22, define peak respectively, be flat, the conceptual vector of three periods of paddy and peak valley, peak are flat, the price difference variable of Pinggu period, As the optimized variable of object function, and according to automobile user price response model and the electronic vapour of day part initiation of charge Car quantity, the method that transfer is evenly distributed according to day part obtain fitting charging load expressions formula；S23, the charging load expressions formula obtained according to same day photovoltaic generation characteristic curve and you and fitting, obtain peak valley charging clothes Price of being engaged in implements the forward and backward photovoltaic amount of giving up expression formula；The equation of S24, foundation using charging service price valley as variable, so that it is determined that charging service price basis value.
- 4. charging optimization method according to claim 3, it is characterised in that the charging service price valley is variable Equation to reduce the amount of giving up of photovoltaic generation as objective optimization, will reduce the expense of operator's power network power purchase, meanwhile, operator The expense of reduction is totally divided into according to certain ratio with automobile user, it is total so as to reduce electric automobile group user Bulk charging expense.
- 5. charging optimization method according to claim 1, it is characterised in that the step S3 includesS31, object function established with the minimum target of the photovoltaic generation amount of giving up, wherein, peak Pinggu period conceptual vector, charging clothes Being engaged in, price basis value and peak valley, peak be flat, the price difference of Pinggu period is optimized variable；S32, the constraints that charging service price bound, peak Pinggu Time segments division and distribution capacity are set respectively；S33, using the method for exhaustion object function is solved, segment mark during peak Pinggu when obtaining the photovoltaic generation amount of giving up minimum Vector, charging service price basis value and peak valley, peak are put down, the price difference of Pinggu period, the charging service price as the same day.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104680256B (en) * | 2015-03-06 | 2018-07-27 | 北京交通大学 | Electric vehicle charging load optimal method and apparatus |
| CN104794533B (en) * | 2015-04-10 | 2018-08-03 | 国家电网公司 | It is included in the capacity optimal configuration method of the distribution network users photovoltaic plant for the electric vehicle that can network |
| CN105160428B (en) * | 2015-08-19 | 2018-04-06 | 天津大学 | The planing method of electric automobile on highway quick charge station |
| CN105958625B (en) * | 2016-06-07 | 2018-06-29 | 北京交通大学 | The Optimal Configuration Method of electric vehicle day charging quantity that meter and photovoltaic are contributed |
| CN106532764B (en) * | 2016-10-18 | 2018-12-04 | 国网山东省电力公司电力科学研究院 | A kind of electric car charging load control method of on-site elimination photovoltaic power generation |
| CN108459587A (en) * | 2017-02-17 | 2018-08-28 | 百度在线网络技术（北京）有限公司 | Energy processing method, device, equipment and the computer readable storage medium of the vehicles |
| CN107967528B (en) * | 2017-11-24 | 2021-12-10 | 国网北京市电力公司 | Charging price display method and device |
| CN108407633B (en) * | 2018-01-30 | 2019-11-05 | 西南交通大学 | A kind of electric bus electric charging station optimizing operation method |
| CN108764554B (en) * | 2018-05-21 | 2021-12-07 | 上海电力学院 | Robust optimization method for guiding orderly charging of electric automobile |
| CN109004677B (en) * | 2018-08-30 | 2021-11-16 | 南通大学 | Charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow |
| CN109398149B (en) * | 2018-11-29 | 2022-03-22 | 江苏大学 | Intelligent electric vehicle charging and discharging system based on distributed energy application and operation control method thereof |
| CN112134300B (en) * | 2020-10-09 | 2022-03-08 | 国网江苏省电力有限公司无锡供电分公司 | Reservation-based rolling optimization operation method and system for electric vehicle light storage charging station |
| CN113128790B (en) * | 2021-05-18 | 2022-09-13 | 国网河北省电力有限公司电力科学研究院 | Absorption optimization method and device of distributed photovoltaic system and terminal equipment |
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