CN110428105A - A kind of electric bus charge and discharge Optimization Scheduling a few days ago - Google Patents
A kind of electric bus charge and discharge Optimization Scheduling a few days ago Download PDFInfo
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Abstract
This application discloses a kind of electric bus charge and discharge Optimization Scheduling a few days ago, the comprehensive charge mode combined for electric bus fast and slow charge, comprising: acquire driving arrangement, battery parameter and the predicted temperature of next day of electric bus；Establish the trickle charge battery loss model of electric bus battery；Establish the quick charging battery loss model of electric bus battery；With the minimum objective function of one day charging cost of electric bus, the charge and discharge Optimized model of electric bus a few days ago is established；It determines unit cells cost depletions when electric bus trickle charge and fast charge, solves the charge and discharge plan for obtaining next day electric bus.The present invention is directed to the charge mode that electric bus fast charge is combined with trickle charge, participates in the V2G concrete condition that electric bus is gone on a journey simultaneously in conjunction with electric bus and carries out electric bus charge and discharge Optimized Operation a few days ago, further reduced battery loss.
Description
Technical field
The invention belongs to electric bus charge and discharge optimisation technique fields, and it is excellent to be related to a kind of electric bus charge and discharge a few days ago
Change dispatching method more particularly to a kind of electric bus for considering fast and slow charge battery loss charge and discharge Optimization Scheduling a few days ago.
Background technique
Currently, each city is development new-energy automobile in country about under the policy guide for promoting new-energy automobile development
Focus on public transport field, it is desirable to it is new to reach energy-saving and emission-reduction, development place by the Demonstration Application in public transport field
The purpose of energy automobile industry.Pure electric bus is as communal facility, and with speed, lower, route is fixed and subsidized and is higher etc.
Feature, is the first step realizing pure electric automobile and developing in China, and the comprehensive benefit promoted in the market has with feasibility
Very important researching value.Therefore, pure electric bus and charging network are greatly developed, model is built to realization energy revolution
City has a very important significance.
For pure electric bus, three kinds of power mode, trickle charge mode and fast charge mode charging modes are mainly changed at present.Its
In, it changes power mode and solves the problems, such as that the charging time long, but the number of batteries that need to be equipped with is more, and the occupied area of electrical changing station
Greatly, investment amount is high；Trickle charge mode, battery loss is small and can participate in vehicle net interaction (Vehicle to grid, V2G) increasing
Benefit is added, but the charging time is long；Fast charge mode does not need to install a large amount of battery additional and the charging time is short, but battery loss
Greatly.
Comprehensively consider the advantage and disadvantage of electric bus fast charge and trickle charge, the novel integrated that electric bus fast and slow charge combines fills
Under power mode, i.e., electric bus, which is charged by the way of trickle charge at night and participates in V2G, obtains income, in running clearance on daytime
Meeting driving demand by the way of fast charge, the trickle charge of electric bus and fast charge can all bring the loss of on-vehicle battery,
Battery loss when having research to consider trickle charge mostly, ignores battery loss when fast charge.
Summary of the invention
To solve deficiency in the prior art, the present invention provides a kind of electric bus charge and discharge Optimized Operation side a few days ago
Method has comprehensively considered fast and slow charge battery loss and has carried out electric bus charge and discharge Optimized Operation a few days ago, further reduced battery
Loss.
In order to achieve the above objectives, the present invention adopts the following technical scheme:
Charge and discharge Optimization Scheduling, the synthesis combined for electric bus fast and slow charge are filled a few days ago for a kind of electric bus
Power mode, the electric bus a few days ago charge and discharge Optimization Scheduling the following steps are included:
Step 1: acquiring driving arrangement, battery parameter and the predicted temperature of next day of electric bus；
Step 2: driving arrangement, battery parameter and the predicted temperature of next day based on electric bus establish electronic public affairs
Hand over the trickle charge battery loss model of vehicle battery；
Step 3: driving arrangement, battery parameter and the predicted temperature of next day based on electric bus establish electronic public affairs
Hand over the quick charging battery loss model of vehicle battery；
Step 4: the quick charging battery of trickle charge battery loss model and electric bus battery based on electric bus battery
Loss model establishes the charge and discharge of electric bus a few days ago with the minimum objective function of one day charging cost of electric bus
Optimized model；
Step 5: determining unit cells cost depletions when electric bus trickle charge and fast charge, solve electric bus a few days ago
Charge and discharge Optimized model, obtain next day electric bus charge and discharge plan.
The present invention further comprises following preferred embodiment:
Preferably, the driving arrangement of electric bus described in step 1 and battery parameter, from electric bus information sharing number
It is obtained according to library；
The driving arrangement of the electric bus, for determining the starting of trickle charge and fast charge and terminating the time；
The predicted temperature of the next day is obtained by the weather forecast on the same day.
Preferably, the trickle charge battery loss model of electric bus battery described in step 2 are as follows:
Cslow,t=(Pt chηch+Pt dch/ηdch)wpslow (6)
Wherein, Cslow,tIndicate trickle charge cost depletions of the t period battery when considering V2G；WithIt respectively indicates
Charge-discharge electric power of the electric bus in the t period；ηchAnd ηdchRespectively indicate the efficiency for charge-discharge of electric bus.
WPslowIndicate that unit cells cost depletions, calculation formula are as follows:
Dw=Kw((1+c)EDRV+2EV2G) (2)
In formula (5), dwcIndicate battery day cost depletions；dwIndicate day battery loss；KwIndicate global loss factor；
In formula (4), NcycleIndicate the cycle life of battery；KddrIndicate day discount rate；Cc indicates battery cost of investment；
Sv is the surplus value after battery end-of-life；
In formula (3), E0Indicate the initial capacity of battery；
In formula (2), EDRVAnd EV2GIt respectively represents averagely every daily consumption and is expert at and sail and the electric energy in discharge process；
In formula (1),Discharge power after indicating optimization；tslow_startAnd tslow_endRespectively indicate electric bus
The starting of trickle charge process and termination time；Δ t indicates the time interval of optimization.
Preferably, the quick charging battery loss model of electric bus battery described in step 3 are as follows:
Cfast,t=Pt chηchwpfast (13)
Wherein, Cfast,tIndicate the fast charge cost depletions of t period battery；
wpfastFor temperature, average combined influence of the tri- kinds of factors of SOC and DOD to battery loss, wpfastCalculation formula are as follows:
wptemp、wpDODAnd wpSOCavgUnit cells are worn to when fast charge respectively under the influence of temperature, DOD and average SOC
This.
Preferably, unit cells cost depletions wp when fast charge under the influence of the temperaturetemp, calculation method is as follows:
Establish the simple thermodynamic model of lithium battery group:
T=Tamb+R|Pavg| (7)
Calculate battery life at a certain temperature:
The unit cells cost depletions under the influence of temperature are calculated based on battery life:
In formula (7), PavgIndicate average charge-discharge electric power；T is battery temperature；TambIndicate environment temperature；R is battery pack
Thermal resistance；
In formula (8), L (T) is the battery life under specific temperature；A and b is curve fitting parameter；When Q is Power Exchange
Battery capacity；
In formula (9), CcFor battery cost of investment；tfast_startAnd tfast_endRespectively indicate electric bus fast charge process
Starting and terminate the time；Yhr indicates the hourage in 1 year.
Preferably, unit cells cost depletions wp when fast charge under the influence of the average SOCSOCavg, pass through curve matching
Method is calculated, and calculation formula is as follows:
Wherein, QfadeIt is capacity loss of the battery in end-of-life；M, d, n are fitting parameters；SOCavgIt is averagely charged
State (State of Charge, SOC).
Preferably, unit cells cost depletions wp when fast charge under the influence of the DODDOD, calculation formula is as follows:
Wherein, NcycleIndicate the cycle life of battery；Battery capacity when Q is Power Exchange；The efficiency of η expression battery；
DOD (depth of discharge) indicates depth of discharge.
Preferably, charging cost described in step 4 includes cost of the electric bus in trickle charge and fast charge period；
The cost of the trickle charge period includes trickle charge charging cost, the compensation and trickle charge battery cost depletions for participating in V2G；
The cost of the fast charge period includes fast charge charging cost and quick charging battery cost depletions.
Preferably, the charge and discharge Optimized model of electric bus a few days ago described in step 4 are as follows:
In formula (14), first item and Section 2 are cost of the electric bus in trickle charge and fast charge period respectively；
Wherein, the cost of trickle charge period includes that trickle charge charging cost, the compensation of participation V2G and trickle charge battery are worn to
This；The cost of fast charge period includes fast charge charging cost and quick charging battery cost depletions；
The constraint condition of the charge and discharge Optimized model of the electric bus a few days ago are as follows:
Formula (15), the charge-discharge electric power that (16) are electric bus constrain,WithRespectively indicate t moment Electric Transit
The charging and discharging state of vehicle；
Formula (17) is the SOC state constraint of battery, StIndicate the SOC of t moment battery；SminAnd SmaxRespectively indicate battery
SOC lower limit and the SOC upper limit；
The infeasible phenomenon of physics for not only having charged but also having discharged is not present in constraint representation shown in formula (18)；
Relation constraint of the formula (19) between SOC state and charge-discharge electric power.
Preferably, unit cells cost depletions when electric bus trickle charge and fast charge are determined described in step 5, are solved a few days ago
The charge and discharge Optimized model of electric bus obtains the charge and discharge plan of next day electric bus, specifically:
Unit cells cost depletions when electric bus trickle charge and fast charge are determined by iterative method, utilize Cplex18.0
The charge and discharge Optimized model of electric bus a few days ago is solved, the charge and discharge plan of next day electric bus is obtained.
Preferably, unit cells cost depletions when electric bus trickle charge and fast charge are determined described in step 5, are solved a few days ago
The charge and discharge Optimized model of electric bus obtains the charge and discharge plan of next day electric bus, comprising the following steps:
Step 501: unit cells cost depletions wp when for trickle charge and fast chargeslowAnd wpfastAssign initial value；
Step 502: being based on wpslowAnd wpfast, the electric bus a few days ago established using CPLEX18.0 to step 4 filled
The Optimized model that discharges solves, and obtains the charge and discharge plan of next day electric bus；
Step 503: according to wpslowAnd wpfastCalculation formula, update wpslowAnd wpfast；
Step 504: judging wpslowAnd wpfastWhether can restrain, if can restrain, export wpslow、wpfastAnd it is electronic
The charge-discharge electric power of bus；Otherwise, return step 502.
The application it is achieved the utility model has the advantages that
For the charge mode that electric bus fast charge is combined with trickle charge, V2G electricity simultaneously is participated in conjunction with electric bus
The concrete condition of electric bus trip carries out electric bus charge and discharge Optimized Operation a few days ago, further reduced battery loss.
Detailed description of the invention
Fig. 1 is a kind of flow chart of electric bus of present invention charge and discharge Optimization Scheduling a few days ago；
Fig. 2 is the charge and discharge Optimized model that the present invention solves electric bus a few days ago, obtains filling for next day electric bus
Discharge the flow chart planned.
Specific embodiment
The application is further described with reference to the accompanying drawing.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and cannot be used as a limitation limitation the application protection scope.
As shown in Figure 1, a kind of electric bus of the invention charge and discharge Optimization Scheduling a few days ago, for electric bus
Fast and slow charge combine comprehensive charge mode, the electric bus a few days ago charge and discharge Optimization Scheduling the following steps are included:
Step 1: acquiring driving arrangement, battery parameter and the predicted temperature of next day of electric bus；
In embodiment, the driving arrangement of the electric bus and battery parameter, from electric bus information sharing data
Library obtains, as shown in Table 1 and Table 2 respectively；
1 power battery relevant parameter of table
2 electric bus of table is dispatched a car table
The driving arrangement of the electric bus, for determining the starting of trickle charge and fast charge and terminating the time；
The predicted temperature of the next day is obtained by the weather forecast on the same day.
Step 2: driving arrangement, battery parameter and the predicted temperature of next day based on electric bus establish electronic public affairs
Hand over the trickle charge battery loss model of vehicle battery；
In embodiment, the trickle charge battery loss model of the electric bus battery are as follows:
Cslow,t=(Pt chηch+Pt dch/ηdch)wpslow (6)
Wherein, Cslow,tIndicate trickle charge cost depletions of the t period battery when considering V2G；WithIt respectively indicates
Charge-discharge electric power of the electric bus in the t period；ηchAnd ηdchRespectively indicate the efficiency for charge-discharge of electric bus.
WPslowIndicate that unit cells cost depletions, calculation formula are as follows:
Dw=Kw((1+c)EDRV+2EV2G) (2)
In formula (5), dwcIndicate battery day cost depletions；dwIndicate day battery loss；KwIndicate global loss factor, it is real
It applies and takes 0.00015 in example；
In formula (4), NcycleIndicate the cycle life of battery；KddrIndicate day discount rate；Cc indicates battery cost of investment；
Sv is the surplus value after battery end-of-life；
In formula (3), E0Indicate the initial capacity of battery；
In formula (2), EDRVAnd EV2GIt respectively represents averagely every daily consumption and is expert at and sail and the electric energy in discharge process；
In embodiment, since the electric bus is big compared to the V2G period in the loss of travel phase, coefficient c is taken
2.22；
In formula (1),Discharge power after indicating optimization；tslow_startAnd tslow_endRespectively indicate electric bus
The starting of trickle charge process and termination time；Δ t indicates the time interval of optimization.
Step 3: driving arrangement, battery parameter and the predicted temperature of next day based on electric bus establish electronic public affairs
Hand over the quick charging battery loss model of vehicle battery；
In embodiment, since the battery loss during fast charge is mainly by temperature, average tri- factors of SOC and DOD
It influences, therefore the quick charging battery loss model of the electric bus battery are as follows:
Cfast,t=Pt chηchwpfast (13)
Wherein, Cfast,tIndicate the fast charge cost depletions of t period battery；
wpfastFor temperature, average combined influence of the tri- kinds of factors of SOC and DOD to battery loss, wpfastCalculation formula are as follows:
wptemp、wpDODAnd wpSOCavgUnit cells are worn to when fast charge respectively under the influence of temperature, DOD and average SOC
This.
Unit cells cost depletions wp when fast charge under the influence of the temperaturetemp, calculation method is as follows:
Establish the simple thermodynamic model of lithium battery group:
T=Tamb+R|Pavg| (7)
Calculate battery life at a certain temperature:
The unit cells cost depletions under the influence of temperature are calculated based on battery life:
In formula (7), PavgIndicate average charge-discharge electric power；T is battery temperature；TambIndicate environment temperature；R is battery pack
Thermal resistance；
In formula (8), L (T) is the battery life under specific temperature；A and b is curve fitting parameter；When Q is Power Exchange
Battery capacity；
In formula (9), CcFor battery cost of investment；tfast_startAnd tfast_endRespectively indicate electric bus fast charge process
Starting and terminate the time；Yhr indicates the hourage in 1 year.
The electric current of charge-discharge electric power influences battery life by temperature when changing battery operation.The running temperature of battery by
Mean power PavgDirectly affect, formula (7) establishes the simple thermodynamic model of lithium battery group；Longevity of the battery temperature to battery
The influence of life has been contacted the battery life L (T) under specific temperature with reaction rate by Arrhenius equation driving, the equation
Come.The raising of temperature leads to the power and capacity attenuation of battery.Wherein, influence of the power attenuation to battery loss cost can neglect
Slightly disregard, therefore battery life is directly related with battery capacity, as shown in formula (8).
Unit cells cost depletions wp when fast charge under the influence of the average SOCSOCavg, to meet senile experiment data, lead to
The method for crossing curve matching is calculated, and calculation formula is as follows:
Wherein, QfadeIt is capacity loss of the battery in end-of-life；M, d, n are fitting parameters；SOCavgIt is averagely charged
State.
Unit cells cost depletions wp when fast charge under the influence of the DODDOD, calculation formula is as follows:
Wherein, NcycleIndicate the cycle life of battery；Battery capacity when Q is Power Exchange；The efficiency of η expression battery；
DOD indicates depth of discharge.
Step 4: the quick charging battery of trickle charge battery loss model and electric bus battery based on electric bus battery
Loss model establishes the charge and discharge of electric bus a few days ago with the minimum objective function of one day charging cost of electric bus
Optimized model；
In embodiment, the charging cost includes cost of the electric bus in trickle charge and fast charge period；
The cost of the trickle charge period includes trickle charge charging cost, the compensation and trickle charge battery cost depletions for participating in V2G；
The cost of the fast charge period includes fast charge charging cost and quick charging battery cost depletions.
The charge and discharge Optimized model of the electric bus a few days ago are as follows:
Electric bus a few days ago charge and discharge strategy with the minimum target of charging cost shown in formula (14).
In formula (14), first item and Section 2 are cost of the electric bus in trickle charge and fast charge period respectively；
Wherein, the cost of trickle charge period includes that trickle charge charging cost, the compensation of participation V2G and trickle charge battery are worn to
This；The cost of fast charge period includes fast charge charging cost and quick charging battery cost depletions；
The constraint condition of the charge and discharge Optimized model of the electric bus a few days ago are as follows:
Formula (15), the charge-discharge electric power that (16) are electric bus constrain,WithRespectively indicate t moment Electric Transit
The charging and discharging state of vehicle；
Formula (17) is the SOC state constraint of battery, StIndicate the SOC of t moment battery；SminAnd SmaxRespectively indicate battery
SOC lower limit and the SOC upper limit；
The infeasible phenomenon of physics for not only having charged but also having discharged is not present in constraint representation shown in formula (18)；
Relation constraint of the formula (19) between SOC state and charge-discharge electric power.
Step 5: determining unit cells cost depletions when electric bus trickle charge and fast charge, solve electric bus a few days ago
Charge and discharge Optimized model, obtain next day electric bus charge and discharge plan, specifically:
Unit cells cost depletions when electric bus trickle charge and fast charge are determined by iterative method, utilize Cplex18.0
The charge and discharge Optimized model of electric bus a few days ago is solved, the charge and discharge plan of next day electric bus is obtained.
As shown in Fig. 2, in embodiment, unit cells cost depletions when the determining electric bus trickle charge and fast charge,
The charge and discharge Optimized model of electric bus a few days ago is solved, the charge and discharge plan of next day electric bus, including following step are obtained
It is rapid:
Step 501: unit cells cost depletions wp when for trickle charge and fast chargeslowAnd wpfastAssign initial value；
Step 502: being based on wpslowAnd wpfast, the electric bus a few days ago established using CPLEX18.0 to step 4 filled
The Optimized model that discharges solves, and obtains the charge and discharge plan of next day electric bus；
Step 503: according to wpslowAnd wpfastCalculation formula, update wpslowAnd wpfast；
Step 504: judging wpslowAnd wpfastWhether can restrain, if can restrain, export wpslow、wpfastAnd it is electronic
The charge-discharge electric power of bus；Otherwise, return step 502.
Present invention applicant combines Figure of description to be described in detail and describe implementation example of the invention, still
It should be appreciated by those skilled in the art that implementing example above is only the preferred embodiments of the invention, explanation is only in detail
Help reader more fully understands spirit of that invention, and it is not intended to limit the protection scope of the present invention, on the contrary, any be based on this hair
Any improvement or modification made by bright spirit should all be fallen within the scope and spirit of the invention.
Claims (11)
1. a kind of electric bus a few days ago charge by charge and discharge Optimization Scheduling, comprehensive for electric bus fast and slow charge combination
Mode, it is characterised in that:
The electric bus a few days ago charge and discharge Optimization Scheduling the following steps are included:
Step 1: acquiring driving arrangement, battery parameter and the predicted temperature of next day of electric bus；
Step 2: driving arrangement, battery parameter and the predicted temperature of next day based on electric bus establish electric bus
The trickle charge battery loss model of battery；
Step 3: driving arrangement, battery parameter and the predicted temperature of next day based on electric bus establish electric bus
The quick charging battery loss model of battery；
Step 4: the quick charging battery loss of trickle charge battery loss model and electric bus battery based on electric bus battery
Model, with the minimum objective function of one day charging cost of electric bus, the charge and discharge for establishing electric bus a few days ago is electrically optimized
Model；
Step 5: determining unit cells cost depletions when electric bus trickle charge and fast charge, solve filling for electric bus a few days ago
Discharge Optimized model, obtains the charge and discharge plan of next day electric bus.
2. a kind of electric bus according to claim 1 charge and discharge Optimization Scheduling a few days ago, it is characterised in that:
The driving arrangement of electric bus described in step 1 and battery parameter are obtained from electric bus information sharing database；
The driving arrangement of the electric bus, for determining the starting of trickle charge and fast charge and terminating the time；
The predicted temperature of the next day is obtained by the weather forecast on the same day.
3. a kind of electric bus according to claim 1 charge and discharge Optimization Scheduling a few days ago, it is characterised in that:
The trickle charge battery loss model of electric bus battery described in step 2 are as follows:
Cslow,t=(Pt chηch+Pt dch/ηdch)wpslow (6)
Wherein, Cslow,tIndicate trickle charge cost depletions of the t period battery when considering V2G；WithIt respectively indicates electronic
Charge-discharge electric power of the bus in the t period；ηchAnd ηdchRespectively indicate the efficiency for charge-discharge of electric bus；
WPslowIndicate that unit cells cost depletions, calculation formula are as follows:
Dw=Kw((1+c)EDRV+2EV2G) (2)
In formula (5), dwcIndicate battery day cost depletions；dwIndicate day battery loss；KwIndicate global loss factor；
In formula (4), NcycleIndicate the cycle life of battery；KddrIndicate day discount rate；Cc indicates battery cost of investment；Sv is
The surplus value after battery end-of-life；
In formula (3), E0Indicate the initial capacity of battery；
In formula (2), EDRVAnd EV2GIt respectively represents averagely every daily consumption and is expert at and sail and the electric energy in discharge process；
In formula (1),Discharge power after indicating optimization；tslow_startAnd tslow_endRespectively indicate electric bus trickle charge
The starting of process and termination time；Δ t indicates the time interval of optimization.
4. a kind of electric bus according to claim 1 charge and discharge Optimization Scheduling a few days ago, it is characterised in that:
The quick charging battery loss model of electric bus battery described in step 3 are as follows:
Cfast,t=Pt chηchwpfast (13)
Wherein, Cfast,tIndicate the fast charge cost depletions of t period battery；
wpfastFor temperature, average combined influence of the tri- kinds of factors of SOC and DOD to battery loss, wpfastCalculation formula are as follows:
wptemp、wpDODAnd wpSOCavgUnit cells cost depletions when fast charge respectively under the influence of temperature, DOD and average SOC.
5. a kind of electric bus according to claim 4 charge and discharge Optimization Scheduling a few days ago, it is characterised in that:
Unit cells cost depletions wp when fast charge under the influence of the temperaturetemp, calculation method is as follows:
Establish the simple thermodynamic model of lithium battery group:
T=Tamb+R|Pavg| (7)
Calculate battery life at a certain temperature:
The unit cells cost depletions under the influence of temperature are calculated based on battery life:
In formula (7), PavgIndicate average charge-discharge electric power；T is battery temperature；TambIndicate environment temperature；R is battery pack heat
Resistance；
In formula (8), L (T) is the battery life under specific temperature；A and b is curve fitting parameter；Electricity when Q is Power Exchange
Tankage；
In formula (9), CcFor battery cost of investment；tfast_startAnd tfast_endRespectively indicate rising for electric bus fast charge process
Beginning and the time of termination；Yhr indicates the hourage in 1 year.
6. a kind of electric bus according to claim 4 charge and discharge Optimization Scheduling a few days ago, it is characterised in that:
Unit cells cost depletions wp when fast charge under the influence of the average SOCSOCavg, calculated by the method for curve matching
It arrives, calculation formula is as follows:
Wherein, QfadeIt is capacity loss of the battery in end-of-life；M, d, n are fitting parameters；SOCavgFor average state-of-charge.
7. a kind of electric bus according to claim 4 charge and discharge Optimization Scheduling a few days ago, it is characterised in that:
Unit cells cost depletions wp when fast charge under the influence of the DODDOD, calculation formula is as follows:
Wherein, NcycleIndicate the cycle life of battery；Battery capacity when Q is Power Exchange；The efficiency of η expression battery；DOD table
Show depth of discharge.
8. a kind of electric bus according to claim 1 charge and discharge Optimization Scheduling a few days ago, it is characterised in that:
Charging cost described in step 4 includes cost of the electric bus in trickle charge and fast charge period；
The cost of the trickle charge period includes trickle charge charging cost, the compensation and trickle charge battery cost depletions for participating in V2G；
The cost of the fast charge period includes fast charge charging cost and quick charging battery cost depletions.
9. a kind of electric bus according to claim 8 charge and discharge Optimization Scheduling a few days ago, it is characterised in that:
The charge and discharge Optimized model of electric bus a few days ago described in step 4 are as follows:
In formula (14), first item and Section 2 are cost of the electric bus in trickle charge and fast charge period respectively；
Wherein, the cost of trickle charge period includes trickle charge charging cost, the compensation and trickle charge battery cost depletions for participating in V2G；Fastly
The cost for filling the period includes fast charge charging cost and quick charging battery cost depletions；
The constraint condition of the charge and discharge Optimized model of the electric bus a few days ago are as follows:
Formula (15), the charge-discharge electric power that (16) are electric bus constrain,WithRespectively indicate t moment electric bus
Charging and discharging state；
Formula (17) is the SOC state constraint of battery, StIndicate the SOC of t moment battery；SminAnd SmaxUnder the SOC for respectively indicating battery
Limit and the SOC upper limit；
The infeasible phenomenon of physics for not only having charged but also having discharged is not present in constraint representation shown in formula (18)；
Relation constraint of the formula (19) between SOC state and charge-discharge electric power.
10. a kind of electric bus according to claim 1 charge and discharge Optimization Scheduling a few days ago, it is characterised in that:
Unit cells cost depletions when electric bus trickle charge and fast charge are determined described in step 5, solve electric bus a few days ago
Charge and discharge Optimized model, obtain next day electric bus charge and discharge plan, specifically:
Unit cells cost depletions when electric bus trickle charge and fast charge are determined by iterative method, are solved using Cplex18.0
The charge and discharge Optimized model of electric bus a few days ago obtains the charge and discharge plan of next day electric bus.
11. a kind of electric bus according to claim 10 charge and discharge Optimization Scheduling a few days ago, it is characterised in that:
Unit cells cost depletions when electric bus trickle charge and fast charge are determined described in step 5, solve electric bus a few days ago
Charge and discharge Optimized model, obtain next day electric bus charge and discharge plan, comprising the following steps:
Step 501: unit cells cost depletions wp when for trickle charge and fast chargeslowAnd wpfastAssign initial value；
Step 502: being based on wpslowAnd wpfast, utilize the charge and discharge of the CPLEX18.0 electric bus a few days ago established to step 4
Optimized model solves, and obtains the charge and discharge plan of next day electric bus；
Step 503: according to wpslowAnd wpfastCalculation formula, update wpslowAnd wpfast；
Step 504: judging wpslowAnd wpfastWhether can restrain, if can restrain, export wpslow、wpfastAnd electric bus
Charge-discharge electric power；Otherwise, return step 502.
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