CN109117503A - The construction method and device of application scenarios model coexists in a kind of V2V and V2G - Google Patents
The construction method and device of application scenarios model coexists in a kind of V2V and V2G Download PDFInfo
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Abstract
The invention discloses application scenarios model coexists in a kind of V2V and V2G construction methods and device, construction method includes establishing electric car charging and recharging model according to batteries of electric automobile fundamental characteristics, the state-of-charge and the desired state-of-charge relationship of user that battery charging terminates are analyzed according to the power demand of user, according to the handover evaluation battery loss between battery charging condition, it is greater than execution V2V vehicle fleet according to the electric vehicle vehicle fleet that V2V scene is performed simultaneously charging and establishes constraint condition, objective function is established according to electric automobile charging station electricity cost is optimal, the objective function meets the electric car charging and recharging model, the state-of-charge and the desired state-of-charge relationship of user that the battery charging terminates, the battery loss and the constraint condition are considered simultaneously, device is according to determining model computation model Optimal solution.The management of charging and discharging that this construction method and device can be parked in electric car in electric automobile charging station for future provides the electricity cost of technical support and calculation optimization charging station.
Description
Technical field
The present invention relates to the buildings that application scenarios model coexists in electric system power consumption management field more particularly to V2V and V2G
Method and device.
Background technique
Electric car is as a kind of cleaning, the efficient vehicles, and application is more prevalent and current and future power grid closes
The load growth point of key.With the development of battery discharge technology, the following electric car is in addition to also can as a kind of charging load
It serves as a kind of Mobile energy storage element and electric energy is externally provided, different charge and discharge rows is executed under the driving of power price signal
For.
It is parked in the electric car of electric automobile charging station, electric car, can also be to other electronic in station in addition to charging
Automobile carries out energy exchange (V2V:Vehicle-to-Vehicle, i.e. electric car enter electric car), or mentions to power grid
For electric energy (V2G:Vehicle-to-Grid, i.e. electric car network).
If lacking the management or mismanagement to electric car charge and discharge, it is not only possible to can not meet the charging of user
Demand, it is also possible to the desired effect of charging station operation be not achieved.Electric car charge and discharge behavioral trait is studied, building is applicable in
Application scenarios model coexists in electric car V2V and V2G, the management of charging and discharging of electric car in charging station can be parked in for future
Technical support is provided；The device that application scenarios coexist in V2V and V2G can be used for the operating charges of calculation optimization electric automobile charging station
With.
Summary of the invention
Based on above description, the object of the present invention is to provide the construction methods that application scenarios model coexists in a kind of V2V and V2G
And device, the management of charging and discharging that this construction method and device can be parked in electric car in electric automobile charging station for future provide
The running cost of technical support and calculation optimization electric automobile charging station.
To achieve the above object, the present invention provides the construction method that application scenarios model coexists in a kind of V2V and V2G, packets
It includes and electric car charging and recharging model is established according to batteries of electric automobile fundamental characteristics, battery is analyzed according to the power demand of user and is filled
The state-of-charge and the desired state-of-charge relationship of user that electricity terminates, according to the handover evaluation battery between battery charging condition
Loss is greater than execution V2V vehicle fleet according to the electric vehicle vehicle fleet that V2V scene is performed simultaneously charging and establishes constraint condition；
Objective function is established according to electric automobile charging station electricity cost is optimal, the objective function meets the electric car charge and discharge
The state-of-charge and the desired state-of-charge relationship of user that model, battery charging terminate, while considering the battery loss
With the constraint condition, and computation model optimal solution.
It preferably, is convenience of calculation, the objective function is optimised for final optimization pass objective function.
Preferably, the electric car charging and recharging model be considered based on battery behavior, including battery charging and discharging power,
Efficiency for charge-discharge, battery charge state (State-of-Charge, SOC) constraint and charge and discharge do not constrain simultaneously, meet with
Lower relational expression:
Wherein, t is time serial number, and i is electric car serial number, and ST is time collection, and SE is electric car collection,It is electronic
The charging time section of automobile i,For electric car i allow minimum SOC,It is electric car i in t moment
SOC value,For electric car i allow maximum SOC,For the specified SOC value of electric car i,Starting SOC value when power grid is accessed for electric car i,WithIt is imitated for the charge and discharge of electric car i battery
Rate,For the specified charge power of electric car i,For the battery rated capacity of electric car i,For electric car
I t moment charged state,For electric car i t moment V2V discharge condition,Exist for electric car i
The V2G discharge condition of t moment.It is describedThree kinds of states are Boolean type variable, value be 0 or
1。
Preferably, the automobile user power demand model is the battery charge state at the end of charging and user's phase
The battery charge state infinite approach of prestige, meets following relationship:
Wherein,SOC value at the end of to charge,For the desired SOC value of user.
Preferably, the battery loss model is indicated by measuring the switching between battery charging condition, meet with
Lower relational expression:
Wherein, ΓiFor the battery loss valuation functions of electric car i,For the discharge condition of electric car i.
Preferably, the electric vehicle vehicle fleet that the V2V limited model is performed simultaneously charging, which is greater than, executes V2V vehicle fleet
Constraint condition is established, following relationship is met:
Preferably, the objective function are as follows:
Wherein, F (U) is cost function, TBFor quantization time, θL,tFor t moment load electricity price, θV2G,tFor t moment power grid fortune
Battalion quotient pays the electric car V2G price of service.
Preferably, the final optimization pass objective function are as follows:
G (U) is final optimization pass objective function, ρiAnd λiThe respectively penalty coefficient of user power utilization demand and battery loss.
The present invention also provides the devices that application scenarios model coexists in a kind of V2V and V2G, including model construction module and meter
Module is calculated, specific as follows:
Application scenarios model construction module coexists in V2V and V2G, electronic for being established according to batteries of electric automobile fundamental characteristics
Automobile charging and recharging model analyzes the state-of-charge and the desired charged shape of user that battery charging terminates according to the power demand of user
State relationship is performed simultaneously the electronic of charging according to V2V scene according to the handover evaluation battery loss between battery charging condition
Vehicle vehicle fleet is greater than execution V2V vehicle fleet and establishes constraint condition；
Application scenarios model computation module coexists in V2V and V2G, for building according to electric automobile charging station electricity cost is optimal
Vertical objective function, the state-of-charge that the objective function meets the electric car charging and recharging model, battery charging terminates
And the desired state-of-charge relationship of user, while considering the battery loss and the constraint condition, and computation model optimal solution.
The utility model has the advantages that the present invention provides application scenarios model coexists in a kind of V2V and V2G construction method and device, tool
Body is to establish electric car charging and recharging model according to batteries of electric automobile fundamental characteristics, analyzes battery according to the power demand of user
Charge the state-of-charge terminated and the desired state-of-charge relationship of user, according to the handover evaluation electricity between battery charging condition
Pond loss is greater than according to the electric vehicle vehicle fleet that V2V scene is performed simultaneously charging and executes V2V vehicle fleet foundation constraint item
Part；Objective function is established according to electric automobile charging station electricity cost is optimal, the objective function meets the electric car and fills
The state-of-charge and the desired state-of-charge relationship of user that discharging model, battery charging terminate, while considering the battery
Loss and the constraint condition, and computation model optimal solution.Device is above-mentioned model modeling and calculating.This construction method and device
The management of charging and discharging that electric car in electric automobile charging station can be parked in for future provides technical support and calculation optimization charging
The electricity cost stood.
Detailed description of the invention
Fig. 1 is that application scenarios schematic diagram coexists in a kind of V2V and V2G；
Fig. 2 is the distribution of electricity prices figure of certain electric automobile charging station；
Fig. 3 is the first electricity consumption optimum results of certain electric car station；
Fig. 4 is second of certain electric car station electricity consumption optimum results；
Fig. 5 is the charge and discharge result of certain electric car.
Specific embodiment
A specific embodiment of the invention is further detailed with reference to the accompanying drawing.
As shown in Figure 1, certain electric automobile charging station can provide charging for electric car, while supporting electric car V2V
Application scenarios；Electric car can also directly be fed to power grid, support the application scenarios of V2G.
In case study on implementation of the present invention, it is parked in for the electric automobile charging station charged by eight electric cars, according to
Construction method and the device of application scenarios model coexists according to above explained V2V and V2G to model simultaneously calculation optimization result.
S1. application scenarios model coexists in building V2V and V2G first, including is established according to batteries of electric automobile fundamental characteristics
Electric car charging and recharging model analyzes the state-of-charge and the desired lotus of user that battery charging terminates according to the power demand of user
Electricity condition relationship is performed simultaneously charging according to V2V scene according to the handover evaluation battery loss between battery charging condition
Electric vehicle vehicle fleet is greater than execution V2V vehicle fleet and establishes constraint condition；Target is established according to charging station electricity cost is optimal
Function, the objective function meet the electric car charging and recharging model, the state-of-charge that battery charging terminates and user
Desired state-of-charge relationship, while considering the battery loss and the constraint condition, and computation model optimal solution.
It preferably, is convenience of calculation, the objective function is optimised for final optimization pass objective function.
Preferably, the electric car charging and recharging model be considered based on battery behavior, including battery charging and discharging power,
Efficiency for charge-discharge, battery charge state constraint and charge and discharge do not constrain simultaneously, meet following relationship:
Wherein, t is time serial number, and i is electric car serial number, and ST is time collection, and SE is electric car collection,It is electronic
The charging time section of automobile i,For electric car i allow minimum SOC,It is electric car i in t moment
SOC value,For electric car i allow maximum SOC,For the specified SOC value of electric car i,Starting SOC value when power grid is accessed for electric car i,WithIt is imitated for the charge and discharge of electric car i battery
Rate,For the specified charge power of electric car i,For the battery rated capacity of electric car i,For electric car i
In the charged state of t moment,For electric car i t moment V2V discharge condition,It is electric car i in t
The V2G discharge condition at moment.It is describedThree kinds of states are Boolean type variable, and value is 0 or 1.
Wherein known physical quantity has:Physics to be determined
Amount has: the electric car access grid charging time,
Physical quantity to be calculated has:
Preferably, the automobile user power demand model is the battery charge state at the end of charging and user's phase
The battery charge state infinite approach of prestige, meets following relationship:
Wherein,SOC value at the end of to charge,For the desired SOC value of user.It is to be determined
Physical quantity: electric car leave the grid charging end time,Physical quantity to be calculated:
Preferably, the battery loss model is indicated by measuring the switching between battery charging condition, meet with
Lower relational expression:
Wherein, ΓiFor the battery loss valuation functions of electric car i,For the discharge condition of electric car i.Wait count
Calculate physical quantity: Γi。
Preferably, the electric vehicle vehicle fleet that the V2V limited model is performed simultaneously charging, which is greater than, executes V2V vehicle fleet
Constraint condition is established, following relationship is met:
Preferably, the objective function are as follows:
Wherein, F (U) is cost function, TBFor quantization time, θL,tFor t moment load electricity price, θV2G,tFor t moment power grid fortune
Battalion quotient pays the electric car V2G price of service.Known physical quantity: θL,t、θV2G,t、TB, physical quantity to be calculated: minF (U).
Preferably, if formula (5) in automobile user demand analysis, the formula (6) in battery loss assessment are straight
Solution is connect, difficulty in computation is larger.In the embodiment of the present invention by penalty function form by formula (5) and formula (6) as consideration because
Element increases in cost function (9), the final optimization pass objective function are as follows:
G (U) is final optimization pass objective function, and constraint condition is above-mentioned formula: (1), (2), (3), (4), (7), (8).ρi
And λiThe respectively penalty coefficient of user power utilization demand and battery loss.ρiAnd λiValue can be true according to the individual propensities of user
It is fixed, the charging when user leaves electric car terminate conditions dictate it is higher when, ρiIt can be set to high value；When to battery
When being lost more demanding, λiIt can be set to high value.Physical quantity to be determined: ρi、λi, physical quantity to be calculated: G (U).
Application scenarios model equipment building model and calculating coexists in S2.V2V and V2G.
The known quantity and physical quantity to be placed in S1 model building method are determined first.After electric car determines,As known quantity；As shown in Fig. 2, θL,t、
θV2G,tValue is power load price, the V2G service price of certain charging station respectively, and calculating time range is the 8:00 one morning
To the next morning 8:00, time step is set as 1 hour；Need the physical quantity being arranged according to practical concrete condition: electronic vapour
Vehicle access power grid time and leave power grid time,Physical quantity to be placed in the embodiment of the present invention is by device
System generates at random；ρiAnd λiTwo groups of different value comparisons are taken in the implementation case, are ρ respectivelyi=1.5 and λi=0.05, ρi
=1.5 and λi=0.5.
Then the specific value of above-mentioned known physical quantity, setting physical quantity and parameter setting is brought into construct in S1 optimization
In objective function (10), objective function need to meet constraint formulations (1), (2), (3), (4), (7), (8), calculation optimization result.ρi
=1.5 and λi=0.05 electric automobile charging station electricity consumption optimum results are as shown in figure 3, ρi=1.5 and λi=0.5 electric car
Charging station electricity consumption optimum results are as shown in Figure 4.Fig. 5 shows the charge and discharge result of wherein certain electric car.
It can be seen that in conjunction with Fig. 2, Fig. 3 and Fig. 5 when load electricity price is higher, such as time interval 11:00-13:00, part
Electric car is arranged to execute V2V operation, to support other electric cars to complete charging tasks, to reduce electric car charging
Total cost；17:00-19:00 load in some time price is also higher, and part electric car is arranged to execute V2G operation, to obtain
Take more economics well-being of workers and staff；When load electricity price is lower, such as time interval 8:00-10:00,14:00-17:00, electric car
It then selects to carry out charging operations.Single Charge Management relative to electric car: it is only filled after electric car access system
Electricity and without V2G, V2V discharge operation, the electricity cost of charging station or per unit value are reduced to by 126.5 in embodiment
122.4, realize the purpose of the optimization electricity charge.Simultaneously from fig. 5, it can be seen that the charge requirement of single electric car can be had
Effect meets.
The present invention considers the assessment of battery charging and discharging loss simultaneously.When user is of less demanding to battery charging and discharging loss
When, value λi=0.05, electric automobile charging station optimum results are as shown in Figure 3；When user to battery charging and discharging loss require it is severe
When quarter, value λi=0.5, electric automobile charging station optimum results are as shown in Figure 4.From Comparative result as can be seen that working as user couple
When battery charging and discharging loss requires harsh, electric car executes V2V, V2G and reduces.Thus prove that the present invention can be according to user couple
The different demands of battery loss make corresponding response.
The utility model has the advantages that the present invention provides application scenarios model coexists in a kind of V2V and V2G construction method and device, tool
Body is to establish electric car charging and recharging model according to batteries of electric automobile fundamental characteristics, analyzes battery according to the power demand of user
Charge the state-of-charge terminated and the desired state-of-charge relationship of user, according to the handover evaluation electricity between battery charging condition
Pond loss is greater than according to the electric vehicle vehicle fleet that V2V scene is performed simultaneously charging and executes V2V vehicle fleet foundation constraint item
Part；Objective function is established according to electric automobile charging station electricity cost is optimal, the objective function meets the electric car and fills
The state-of-charge and the desired state-of-charge relationship of user that discharging model, battery charging terminate, while considering the battery
Loss and the constraint condition, and computation model optimal solution.Device is above-mentioned model modeling and calculating.This construction method and device
The management of charging and discharging that electric car in electric automobile charging station can be parked in for future provides technical support and calculation optimization is electronic
The electricity cost of vehicle charging station.
Although the present invention is disclosed above in the preferred embodiment, it is not intended to limit the invention the range of implementation.Any
The those of ordinary skill in field is not departing from invention scope of the invention, improves when can make a little, i.e., all according to this hair
Bright done same improvement, should be the scope of the present invention and is covered.
Claims (9)
1. the construction method that application scenarios model coexists in a kind of V2V and V2G characterized by comprising
Electric car charging and recharging model is established according to batteries of electric automobile fundamental characteristics, battery is analyzed according to the power demand of user
Charge the state-of-charge terminated and the desired state-of-charge relationship of user, according to the handover evaluation electricity between battery charging condition
Pond loss is greater than according to the electric vehicle vehicle fleet that V2V scene is performed simultaneously charging and executes V2V vehicle fleet foundation constraint item
Part；
Objective function is established according to electric automobile charging station electricity cost is optimal, the objective function meets the electric car and fills
The state-of-charge and the desired state-of-charge relationship of user that discharging model, battery charging terminate, while considering the battery
Loss and the constraint condition, and computation model optimal solution.
2. the construction method that application scenarios model coexists in V2V as described in claim 1 and V2G, which is characterized in that be calculating side
Just, the objective function is optimised for final optimization pass objective function.
3. the construction method that application scenarios model coexists in V2V as described in claim 1 and V2G, which is characterized in that described electronic
Automobile charging and recharging model is considered based on battery behavior, including battery charging and discharging power, efficiency for charge-discharge, battery charge state
Constraint and charge and discharge do not constrain simultaneously, meet following relationship:
Wherein, t is time serial number, and i is electric car serial number, and ST is time collection, and SE is electric car collection,For electric car i
Charging time section,For electric car i allow minimum SOC,For electric car i t moment SOC
Value,For electric car i allow maximum SOC,For the specified SOC value of electric car i,
Starting SOC value when power grid is accessed for electric car i,WithFor the charge and discharge efficiency of electric car i battery,For electricity
The specified charge power of electrical automobile i,For the battery rated capacity of electric car i,It is electric car i in t moment
Charged state,For electric car i t moment V2V discharge condition,For electric car i t moment V2G
Discharge condition.It is describedThree kinds of states are Boolean type variable, and value is 0 or 1.
4. the construction method that application scenarios model coexists in V2V as described in claim 1 and V2G, which is characterized in that described electronic
User vehicle power demand model is that the battery charge state at the end of charging infinitely connects with the desired battery charge state of user
Closely, meet following relationship:
Wherein,SOC value at the end of to charge,For the desired SOC value of user.
5. the construction method that application scenarios model coexists in V2V as described in claim 1 and V2G, which is characterized in that the battery
Loss model is indicated by measuring the switching between battery charging condition, meets following relationship:
Wherein, ΓiFor the battery loss valuation functions of electric car i,For the discharge condition of electric car i.
6. the construction method that application scenarios model coexists in V2V as described in claim 1 and V2G, which is characterized in that the V2V
The electric vehicle vehicle fleet that limited model is performed simultaneously charging, which is greater than, executes V2V vehicle fleet, meets following relationship:
7. the construction method that application scenarios model coexists in V2V as described in claim 1 and V2G, which is characterized in that the target
Function are as follows:
Wherein, F (U) is cost function, TBFor quantization time, θL,tFor t moment load electricity price, θV2G,tFor t moment grid operator
Pay the electric car V2G price of service.
8. the construction method that application scenarios model coexists in V2V as described in claim 1 and V2G, which is characterized in that described final
Optimization object function are as follows:
Wherein, G (U) is final optimization pass objective function, ρiAnd λiThe respectively penalty coefficient of user power utilization demand and battery loss.
9. the device that application scenarios model coexists in a kind of V2V and V2G characterized by comprising
Application scenarios model construction module coexists in V2V and V2G, for establishing electric car according to batteries of electric automobile fundamental characteristics
Charging and recharging model analyzes the state-of-charge and the desired state-of-charge pass of user that battery charging terminates according to the power demand of user
System, according to the handover evaluation battery loss between battery charging condition, the electric bicycle of charging is performed simultaneously according to V2V scene
Sum, which is greater than, to be executed V2V vehicle fleet and establishes constraint condition.
Application scenarios model computation module coexists in V2V and V2G, for establishing mesh according to electric automobile charging station electricity cost is optimal
Scalar functions, the objective function meet the electric car charging and recharging model, the state-of-charge that battery charging terminates and use
The desired state-of-charge relationship in family, while considering the battery loss and the constraint condition, and computation model optimal solution.
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| CN110826801A (en) * | 2019-11-06 | 2020-02-21 | 江苏万帮德和新能源科技股份有限公司 | Distributed electric energy management method for electric vehicle charging station |
| CN110826801B (en) * | 2019-11-06 | 2023-04-18 | 万帮数字能源股份有限公司 | Distributed electric energy management method for electric vehicle charging station |
| CN112578283A (en) * | 2020-12-14 | 2021-03-30 | 北汽福田汽车股份有限公司 | Battery system parameter determination method and device and vehicle |
| CN113328466A (en) * | 2021-05-26 | 2021-08-31 | 上海电力大学 | Electric vehicle charging scene generation method |
| CN114537197A (en) * | 2022-03-14 | 2022-05-27 | 南京理工大学 | V2V charging optimal matching method and system based on weighted bipartite graph |
| CN114537197B (en) * | 2022-03-14 | 2024-05-17 | 南京理工大学 | V2V charging optimal matching method and system based on weighted bipartite graph |
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