CN106160091B - Promote the electric automobile charging station charge and discharge dispatching method of regenerative resource consumption - Google Patents
Promote the electric automobile charging station charge and discharge dispatching method of regenerative resource consumption Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/64—Optimising energy costs, e.g. responding to electricity rates
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- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
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Abstract
The invention discloses a kind of electric automobile charging station charge and discharge dispatching method of promotion regenerative resource consumption, step includes：1）It is based on next day generated output of renewable energy source a few days ago, workload demand, electric automobile charging station power demand and remaining capacity predictive information, regenerative resource is dissolved to maximize, it is optimization aim to minimize adjustable unit generation cost, determines electric automobile charging station charge and discharge plan a few days ago and the output plan a few days ago of adjustable unit；2）In a few days it is directed to remaining period regenerative resource, load, the short-term forecast of electric vehicle demand and remaining capacity using the remaining period at current time as a result, maximize consumption regenerative resource as target, the charge and discharge plan of rolling amendment electric automobile charging station a few days ago.In this way, regenerative resource can be dissolved to a certain extent, mitigate the regulation and control pressure of active power distribution network, reduce system total operating cost, realizes resource economical and efficient comprehensive utilization in active power distribution network.
Description
Technical field
The invention belongs to power distribution network running optimizatin field, it is related to a kind of electric vehicle of promotion regenerative resource consumption and changes electricity
It stands charge and discharge dispatching method.
Background technology
As energy shortage and problem of environmental pollution are increasingly urgent, China is using renewable energy utilization as energy in recent years
The important measure of the source strategy of sustainable development.But it as permeability is gradually increased regenerative resource in power distribution network, contributes
The features such as possessed randomness and intermittence, will bring challenges to the scheduling of power distribution network and control, can especially in some areas
The permeability of the renewable sources of energy has been approached 100%, and on peak, the power generation period is likely to occur a large amount of anti-power transmissions of regenerative resource electricity
The case where net, brings extreme influence to the safe and stable operation of power grid.
The electric vehicle important component indispensable as intelligent grid field, the research of the relevant technologies obtain greatly
The popularization and application of amount.Electric vehicle has the double action of controllable burden and power supply, and electricity consumption is can be considered in charging process
Load, discharge process can be considered Demand-side energy storage resource, can carry out effective interaction with power grid, be the regulation and control of active power distribution network
Problem brings new opportunity to develop.
Existing electric vehicle dispatching method pays close attention to its own economical operation mostly, or only applies in power load peak load shifting
Etc..The case where accessing power grid in view of regenerative resource high density, reasonably optimizing electric vehicle charge and discharge plan can have
Effect extenuates the pressure that power distribution network dissolves extensive regenerative resource.It is being dissolved therefore, it is necessary to fully excavate electric vehicle scheduling
Potentiality in terms of regenerative resource study its coordination and interaction characteristic between regenerative resource, reduce the generator operation of system at
This, realizes the reasonable efficient utilization of resource in active power distribution network.
Invention content
Technical problem：The present invention provides a kind of electric automobile charging station charge and discharge scheduling of promotion regenerative resource consumption
Method can be dissolved by optimizing time and the power of electric automobile charging station charge and discharge in renewable energy power generation peak period
Extra generated energy extenuates the power generation burden of conventional adjustable unit in load boom period, can be again in consumption power distribution network maximizing
The total operating cost of system is reduced while the raw energy.
Technical solution：The electric automobile charging station charge and discharge dispatching method of the promotion regenerative resource consumption of the present invention, packet
Include following step：
1) next day load power demand forecasting information hourly is obtained from regional power grid scheduling center, regenerative resource
Generated output predictive information, electric automobile charging station changes electricity demanding and changes battery dump energy predictive information, with maximum
It is optimization aim to change consumption regenerative resource, minimize the adjustable unit generation cost in area, and synthesizes total optimization of day last stage
Target, with the constraint of electrical changing station charging and discharging state, the constraint of electrical changing station charge-discharge electric power, electrical changing station electricity storage constraint, adjustable unit
Units limits, adjustable unit ramp loss, adjustable Unit Commitment time-constrain, user power utilization constraint of demand are constraints, are built
Vertical Multiobjective Optimal Operation model a few days ago, carries out Multiobjective Optimal Operation a few days ago, obtains electrical changing station charge and discharge operation plan a few days ago
And adjustable unit power generation dispatching plan a few days ago；
2) in the in a few days stage, every Fixed Time Interval from regional power grid scheduling center obtain updated workload demand,
Regenerative resource is contributed, electric automobile charging station changes the prediction of electricity demanding and remaining capacity in the remaining period in a few days current time and believes
Breath, using electrical changing station charge and discharge operation plan and the power generation dispatching plan a few days ago of adjustable unit a few days ago obtained in step 1) as foundation,
Optimization aim is turned to current time remaining period regenerative resource consumption maximum, constrained with electrical changing station charge-discharge electric power amendment,
Constraint is corrected in the storage of electrical changing station electricity, rolling planning is constrained to constraints to the amendment planned a few days ago, and foundation in a few days rolls excellent
Change scheduling model, rolling optimization is carried out to the charge-discharge electric power of remaining period electrical changing station, obtains remaining period electrical changing station charge and discharge
The correction amount of power, and the operation plan of charge and discharge a few days ago of electrical changing station in the remaining period is modified with the correction amount.
Further, in the method for the present invention, in the step 1), the optimization aim of consumption regenerative resource is maximized such as
Under：
In formula, f1For the regenerative resource that last stage day is not dissolved, TREIt is more than system for generated output of renewable energy source
The set at workload demand moment, Pt RE,DAFor the generated output a few days ago of t moment regenerative resource,For last stage day i-th
For adjustable unit in the output of t moment, N is total number of units of adjustable unit,For the power load demand a few days ago of t moment system,
Pt ch,DAFor the charging load of last stage day t moment electrical changing station, ηchFor the charge efficiency of electrical changing station, Pt dis,DAFor last stage day t when
Carve the electric discharge load of electrical changing station, ηdisFor the charge efficiency of electrical changing station；
The optimization aim for minimizing the adjustable unit generation cost in area is as follows：
In formula, f2For the cost of electricity-generating of last stage day adjustable unit, T gathers for total time, aiFor the power generation of i-th unit
Cost quadratic coefficients, biFor the cost of electricity-generating coefficient of first order of i-th unit, ciFor the cost of electricity-generating constant term system of i-th unit
Number, i are adjustable machine group #；
Total optimization aim of multiple-objection optimization is as follows：
minfDA=α (f1/f10)+β(f2/f20)
In formula, fDAFor total optimization aim of last stage day, α is the weight coefficient that regenerative resource dissolves target, and β is adjustable
The weight coefficient of unit generation cost objective, f10Power initial value, f are sent for the regenerative resource in the case of being not optimized20For
The cost of electricity-generating initial value of adjustable unit in the case of being not optimized.
Further, in the method for the present invention, in step 1), electrical changing station charging and discharging state is constrained to：
In formula,Indicate last stage day electrical changing station t moment charged state,Indicate electrical changing station in t
It carves and is in charged state,Indicate that electrical changing station is not in charged state in t moment；Indicate last stage day electrical changing station
In the discharge condition of t moment,Indicate that electrical changing station is in discharge condition in t moment,Indicate electrical changing station in t
Moment is not in discharge condition；
Electrical changing station charge-discharge electric power is constrained to：
In formula, Pch, PdisThe charge power and discharge power of single charging pile respectively in electrical changing station,
Respectively in micro USB electricity cell number and online discharge battery number, N in last stage day t moment electrical changing stationmaxFor the charging in electrical changing station
Bit quantity；
Electrical changing station electricity storage is constrained to：
In formula,Indicate the storing electricity in last stage day t moment electrical changing station,Indicate last stage day t- Δs T
Storing electricity in moment electrical changing station,For the charging load of t- Δs T last stage day, electrical changing station moment,For rank a few days ago
The charging load of section t- Δ T moment electrical changing stations, Δ T are unit time interval, EbatteryIndicate the full power consumption of single group battery,For the number of batteries that last stage day t moment electrical changing station user needs replacing,Electricity is changed for t- Δs T moment last stage day
The number of batteries that the user that stands needs replacing,The remaining capacity of battery is changed for t- Δs T moment last stage day, η is electrical changing station
Capacity percentage reserve, NTTo include the battery total quantity of reserve battery in electrical changing station, it is contemplated that the service life of batteries of electric automobile,
The depth of discharge of all batteries is no more than 80% in electrical changing station；
Adjustable unit output is constrained to：
In formula,For i-th unit of last stage day t moment start and stop state,Indicate i-th unit
It is in open state in t moment,It indicates that i-th unit is in t moment and shuts down state,Respectively
The minimum and maximum generated output of i-th unit；
Adjustable unit ramp loss is：
In formula,Output for i-th adjustable unit of last stage day at the t+ Δ T moment,For i-th adjustable machine
The upward climbing rate limit of group,For the downward creep speed limitation of i-th adjustable unit；
Adjustable Unit Commitment time-constrain is：
In formula：Start and stop state for i-th unit of last stage day at the t- Δ T moment,Respectively
Minimum run time and minimum idle time after shutdown after the booting of i-th adjustable unit；
User power utilization constraint of demand is：
Further, in the method for the present invention, the step 2) rolling optimal dispatching is the necessary complement of step 1), with pre-
The elongated of time scale is surveyed, the uncertain factor for influencing predictive information increases, and the accuracy of prediction continuously decreases, the day of electrical changing station
Preceding dispatching effect also will accordingly be affected.In a few days at current time on the same day remaining period was rolled every Fixed Time Interval
Optimized Operation, can cut down influences caused by prediction error, further increases the degree of power distribution network consumption regenerative resource, drop
Low power distribution network is that cost caused by error is predicted in reply a few days ago.
Further, in the method for the present invention, in step 2),Pch, Pdis,NMax,,Ebattery, η, NTIt can be by the way that Optimized Operation obtains a few days ago in step 1).
Further, in the method for the present invention, in step 2), the maximized optimization of regenerative resource consumption of residue period on the same day
Target is：
In formula, T0Moment is the current time of rolling optimization, and Δ t is the time interval in rolling scheduling stage, Pt RE,RFor rolling
Dynamic stage regenerative resource is contributed in the prediction of t moment,To roll the stage in the prediction workload demand of t moment, △ Pt ch,RFor
Rolling stage electrical changing station charge power is in the correction value of t moment, △ Pt dis,RTo roll stage electrical changing station discharge power in t moment
Correction value.
Further, in the method for the present invention, in step 2), electrical changing station charge-discharge electric power amendment is constrained to：
T=T0+△t,…T
In formula,For roll the online rechargeable battery number of stage electrical changing station t moment correction value,To roll
Correction value of the online discharge battery number of stage electrical changing station in t moment；
The storage of electrical changing station electricity, which is corrected, to be constrained to：
T=T0+△t,…T
In formula,Indicate the storing electricity in rolling stage t moment electrical changing station,When indicating rolling stage t- Δs t
The storing electricity in electrical changing station is carved,For the electrical changing station charge power of last stage day t- time Δts,It is changed for the rolling stage
Power station charge power t- time Δts correction value,For the electrical changing station discharge power of last stage day t- time Δts,
For roll stage electrical changing station discharge power t- time Δts correction value,It is needed to roll stage t moment electrical changing station user
The number of batteries of replacement,To roll the number of batteries that stage t- time Δt electrical changing station user needs replacing,To roll
Stage t- time Δt changes the remaining capacity of battery；
Rolling planning is constrained to the amendment planned a few days ago：
T=T0+△t,…T
In formula,Respectively the online rechargeable battery number of electrical changing station roll the stage allow minimum and most
Big correction value,The minimum and maximum that respectively the online discharge battery number of electrical changing station allows in the rolling stage is repaiied
Positive value.
Advantageous effect：Compared with prior art, the present invention has the following advantages：
The economical operation that existing electric vehicle dispatching method only concentrates on electric vehicle power station itself mostly is optimal, or will
It is brought into power distribution network scheduling, to realize peak load shifting, the effect of smooth total load curve, and studies spininess to electric vehicle
The scene of charge mode is rarely considered as replacing the electric energy supply pattern of battery.The present invention is high in view of regenerative resource
Density accesses power distribution network, and a large amount of electric energy are difficult to the reality dissolved, and taking " changing power mode " more in conjunction with electric vehicle power station has
The advantage that regulation and control are concentrated conducive to power grid, is applied to power distribution network regenerative resource by electric automobile charging station charge and discharge Optimized Operation and disappears
In terms of receiving, it is combined with conventional adjustable machine unit scheduling in power distribution network, in last stage day to realize that maximization consumption is renewable
The energy, it is optimization aim to minimize adjustable unit generation cost, to the concentration charge and discharge time of electric automobile charging station and work(
Rate, adjustable unit generation plan optimizes scheduling, while being dissolved most with remaining period regenerative resource in the in a few days rolling stage
Optimization aim is turned to greatly, the charge and discharge operation plan a few days ago of electrical changing station is corrected, is influenced caused by abatement day interior prediction error, into
One step improves the degree of power distribution network consumption regenerative resource, reduces power distribution network reply the consumed cost of prediction error a few days ago.This method
Proposition, for power distribution network dissolve renewable energy source problem provide a kind of new approaches, make electric automobile charging station improve distribution
The effect of network operation economy, safety etc. is further given full play to, and promotes regional power grid entirety efficiency into one
Step is promoted.
Description of the drawings
Fig. 1 is the method flow schematic diagram of the present invention.
Fig. 2 is load prediction curve and renewable energy power generation prediction curve a few days ago.
Fig. 3 is that electric vehicle changes electricity demanding and changes battery dump energy a few days ago.
Fig. 4 is the scheduling result of electric automobile charging station charge and discharge a few days ago.
Fig. 5 is adjustable unit generation scheduling result a few days ago.
Fig. 6 is that equivalent load prediction curve and 10 moment, in a few days equivalent load prediction curve compared a few days ago.
Fig. 7 is to be compared a few days ago with rolling stage electrical changing station charge and discharge scheduling result.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below in conjunction with attached drawing and case study on implementation
The present invention is in depth described in detail.It should be appreciated that specific implementation case described herein is only used to explain this hair
It is bright, it is not used to limit invention.
Attached drawing 1 is the method flow schematic diagram of the present invention, describes the basic step of the method for the present invention.
First, the next day generated output predictive information of regenerative resource and negative per hour is obtained from regional power grid scheduling center
Lotus power prediction information, as shown in Fig. 2, in the regenerative resource big hair period, generated energy has overloaded demand, it is possible to create
The energy such as send at the systems safety problem.
Obtain electric automobile charging station next day it is hourly change number of batteries, and change the remaining capacity of battery, it is such as attached
Charging pile quantity shown in Fig. 3, and in known electrical changing station is 300, and single charging pile charge power and discharge power perseverance are
50kW, charge efficiency 0.95, discharging efficiency 0.92.
Furthermore it is known that there is three groups of adjustable generating sets in garden, unit capacity is respectively 50MW, 50MW, 80MW.
It can effectively be dissolved in renewable energy power generation peak period by the charging time and charge power that optimize electrical changing station
Extra electric energy, the object function for maximizing consumption regenerative resource are：
In formula, f1For the regenerative resource that last stage day is not dissolved, TREIt is more than system for generated output of renewable energy source
The set at workload demand moment, Pt RE,DAFor the generated output a few days ago of t moment regenerative resource,For last stage day i-th
For adjustable unit in the output of t moment, N is total number of units of adjustable unit,For the power load demand a few days ago of t moment system,For the charging load of last stage day t moment electrical changing station, ηchFor the charge efficiency of electrical changing station, Pt dis,DAFor last stage day t when
Carve the electric discharge load of electrical changing station, ηdisFor the charge efficiency of electrical changing station；
It can mitigate adjustable unit hair in the load peak period by the charge and discharge moment and charge-discharge electric power that optimize electrical changing station
The pressure of electricity saves adjustable unit generation cost, and the optimization aim for minimizing the adjustable unit generation cost in area is：
In formula, f2For the cost of electricity-generating of last stage day adjustable unit, T gathers for total time, aiFor the power generation of i-th unit
Cost quadratic coefficients, biFor the cost of electricity-generating coefficient of first order of i-th unit, ciFor the cost of electricity-generating constant term system of i-th unit
Number, i are adjustable machine group #.
Multi-objective optimization question is converted by single-object problem using Exchanger Efficiency with Weight Coefficient Method, first to target function value into
It is as follows to obtain total optimization aim for row normalized, then addition：
min fDA=α (f1/f10)+β(f2/f20)
In formula, fDAFor total optimization aim of last stage day, α is the weight coefficient that regenerative resource dissolves target, in this example
It is set as the weight coefficient that 0.5, β is adjustable unit generation cost objective, 0.5, f is set as in this example10In the case of being not optimized
Regenerative resource send power initial value, f20For the cost of electricity-generating initial value of adjustable unit in the case of being not optimized.
The constraint of Multiobjective Optimal Operation a few days ago includes that electrical changing station charging and discharging state, power and electricity storage constrain, can
Adjust unit output, climbing and startup-shutdown constraint, the constraints such as user's electrical demand.
Electrical changing station charging and discharging state is constrained to：
In formula,Indicate last stage day electrical changing station t moment charged state,Indicate electrical changing station in t
It carves and is in charged state,Indicate that electrical changing station is not in charged state in t moment；Indicate last stage day electrical changing station
In the discharge condition of t moment,Indicate that electrical changing station is in discharge condition in t moment,Indicate electrical changing station in t
Moment is not in discharge condition；
The cell number that the charge-discharge electric power of electrical changing station at a time is equal to the moment online charge/discharge is multiplied by single charging
The constant charge/discharge power of stake, and the cell number of online charge/discharge should be less than the sum of the charging pile in electrical changing station.Electrical changing station fills
Discharge power constraint is represented by：
In formula, Pch, PdisThe charge power and discharge power of single charging pile respectively in electrical changing station,
Respectively in micro USB electricity cell number and online discharge battery number, N in last stage day t moment electrical changing stationmaxFor the charging in electrical changing station
Bit quantity；
It changes in cell process, the electricity of battery storage is represented by t moment electrical changing station a few days ago：
In formula,Indicate the storing electricity in last stage day t moment electrical changing station,Indicate last stage day t- Δs T
Storing electricity in moment electrical changing station,For the charging load of t- Δs T last stage day, electrical changing station moment,For rank a few days ago
The charging load of section t- Δ T moment electrical changing stations, Δ T are unit time interval, are set as 1 hour in the present embodiment, EbatteryIt indicates
The full power consumption of single group battery,For the number of batteries that last stage day t- Δs T moment electrical changing station user needs replacing,
The remaining capacity of battery is changed for t- Δs T moment last stage day.
In view of electric vehicle changes the requirement forecasting of battery there are error a few days ago, electrical changing station itself needs reserved a part of standby
With capacity, in addition, in order to ensure the service life of battery, interior all battery charging and discharging depth of standing are not to be exceeded 80%, therefore change electricity
Electricity storage constraint is represented by standing：
In formula,For the number of batteries that last stage day t moment electrical changing station user needs replacing, η is that electrical changing station capacity is standby
With rate, NTTo include the battery total quantity of reserve battery in electrical changing station.
In Optimized model, the units limits of adjustable unit are represented by：
In formula,For i-th unit of last stage day t moment start and stop state,Indicate i-th unit
It is in open state in t moment,It indicates that i-th unit is in t moment and shuts down state,Respectively
The minimum and maximum generated output of i-th unit；
Adjustable unit ramp loss is：
In formula,Output for i-th adjustable unit of last stage day at the t+ Δ T moment,For i-th adjustable machine
The upward climbing rate limit of group,For the downward creep speed limitation of i-th adjustable unit；
Adjustable Unit Commitment time-constrain is：
In formula：Start and stop state for i-th unit of last stage day at the t- Δ T moment,Respectively
Minimum run time and minimum idle time after shutdown after the booting of i-th adjustable unit；
Electric energy supply amount in power distribution network should meet the user power utilization demand in system：
Multiobjective Optimal Operation a few days ago is carried out to present case according to above-mentioned Optimized model, electric automobile charging station can be obtained a few days ago
Operation plan is as shown in Fig. 4, and operation plan is as shown in Fig. 5 a few days ago for each adjustable unit.It is after multiple-objection optimization a few days ago
The regenerative resource of system send general power to be down to 20777kW by 40588.4kW, and regenerative resource consumption rate is 48.8%, adjustable
Unit generation cost is down to 1859 yuan by 3106.7 yuan, reduces about 40.16%, it was demonstrated that electrical changing station charge and discharge scheduling of the present invention
Method can effectively dissolve regenerative resource in last stage day, reduce cost of electricity-generating.
In a few days rolling optimal dispatching is the necessary complement dispatched a few days ago to electrical changing station, with elongated, the shadow of predicted time scale
The uncertain factor for ringing predictive information increases, and the accuracy of prediction continuously decreases, and the dispatching effect a few days ago of electrical changing station also will be corresponding
It is affected.With Extended short-term load prediction, based on short-term regenerative resource prediction and electric vehicle demand short-term forecast
Rolling scheduling plan, make full use of newest information, every Fixed Time Interval again to it is remaining after in a few days each period when
The electrical changing station charge and discharge operation plan of section is modified, and is gradually reduced the uncertainty planned a few days ago, is further increased power distribution network
The degree of regenerative resource is dissolved, power distribution network reply the consumed cost of prediction error a few days ago is reduced.
The detailed process of rolling scheduling plan is：In in a few days current time T0, the remaining period (T on the same day is predicted again0+Δt,
T0+ 2 Δ t ... T) load, regenerative resource contributes, the up-to-date information of electric vehicle demand, according to the newest predictive information,
With the regenerative resource of remaining period on the same day, always consumption amount maximum turns to optimization aim, and optimization acquires remaining day part electrical changing station and fills
The correction value of discharge power, and remaining day part electrical changing station charge and discharge operation plan is modified with this correction value, then arrive
Next moment T0+ Δ t, repeats the above process, and constantly rolls and carries out repairing for each moment electric automobile charging station charge and discharge plan
Positive value solves and makeover process, to continuously decrease the uncertainty planned a few days ago.
In present case, the time interval Δ t of rolling scheduling plan is set as 1 hour, in terms of the in a few days rolling scheduling at 10 moment
Divide example into, in day at moment 10 to the workload demand of remaining period, renewable energy power generation amount, electric vehicle change electricity demanding and
Remaining capacity carries out short-term forecast, and workload demand (including electrical changing station charge and discharge electric load) subtracts development of renewable energy in definition system
Demand curve after electricity is equivalent load demand curve, then a few days ago and in a few days equivalent load demand curve difference such as 6 institute of attached drawing
Show.
Residue period on same day regenerative resource dissolves maximized optimization aim and is：
In formula, T0Moment is the current time of rolling optimization, and Δ t is the time interval in rolling scheduling stage, Pt RE,RFor rolling
Dynamic stage regenerative resource is contributed in the prediction of t moment,To roll the stage in the prediction workload demand of t moment, △ Pt ch,RFor
Rolling stage electrical changing station charge power is in the correction value of t moment, △ Pt dis,RTo roll stage electrical changing station discharge power in t moment
Correction value.
In rolling optimization target, the operation plan of adjustable unit determines in optimize a few days ago, and the stage is rolled not in a few days
Work changes.The stage is in a few days being rolled, electrical changing station is more in the maximization consumption of regenerative resource peak period by correcting charge power
Complementary energy source balances the unbalanced power amount caused by predicting error as possible by correcting discharge power in the load peak period,
Remaining unbalanced power amount can be adjusted by the spare unit in system, to electrical changing station electric discharge Plan rescheduling energy
Power distribution network reply the consumed cost of prediction error a few days ago is reduced to a certain extent.
Electrical changing station charge-discharge electric power amendment is constrained to：
T=T0+△t,…T
In formula,For roll the online rechargeable battery number of stage electrical changing station t moment correction value,To roll
Correction value of the online discharge battery number of stage electrical changing station in t moment.In view of the working strength of operating personnel, it is ensured that rolling planning
The feasibility of implementation, the amendment for rolling the stage are planned to therefore, roll the charging and discharging state in stage close to planning a few days ago as possibleIt is consistent with last stage day.
The storage of electrical changing station electricity, which is corrected, to be constrained to：
T=T0+△t,…T
In formula,Indicate the storing electricity in rolling stage t moment electrical changing station,When indicating rolling stage t- Δs t
The storing electricity in electrical changing station is carved,For the electrical changing station charge power of last stage day t- time Δts,It is changed for the rolling stage
Power station charge power t- time Δts correction value,For the electrical changing station discharge power of last stage day t- time Δts,
For roll stage electrical changing station discharge power t- time Δts correction value,It is needed to roll stage t moment electrical changing station user
The number of batteries of replacement,To roll the number of batteries that stage t- time Δt electrical changing station user needs replacing,To roll
Stage t- time Δt changes the remaining capacity of battery.
Amendment due to rolling the stage is planned to as possible the electrical changing station charge-discharge battery number close to planning a few days ago, determined only
It can be modified in a certain range of plan charge-discharge battery number a few days ago, therefore rolling planning constrains the amendment planned a few days ago
For：
T=T0+△t,…T
In formula,Respectively the online rechargeable battery number of electrical changing station roll the stage allow minimum and most
Big correction value,The minimum and maximum that respectively the online discharge battery number of electrical changing station allows in the rolling stage is repaiied
Positive value.
The correction value △ of each moment charge-discharge electric power of electric automobile charging station is acquired according to above-mentioned rolling optimal dispatching model
Pt ch,R, △ Pt dis,R, and the charge-discharge electric power at correct electrical changing station each moment a few days ago, you can it obtains in a few days stage electric vehicle and changes electricity
The charge and discharge operation plan stood, is shown below：
In formula, Pt ch,RIn a few days to roll stage electrical changing station in the charge power of t moment, Pt dis,RIt is changed in a few days to roll the stage
Discharge power of the power station in t moment.
The in a few days rolling stage electrical changing station charge and discharge scheduling obtained according to the charge-discharge electric power in a few days rolling stage electrical changing station
Plan, regenerative resource can further be dissolved by comparing day last stage, reduce system total operating cost.
In a few days rolling optimal dispatching is carried out to 10 moment in present case according to above-mentioned Optimized model, is in a few days rolled excellent
The charge and discharge operation plan of change stage electric automobile charging station is as shown in Fig. 7.In the in a few days remaining period, if excellent without rolling
Change, only implement the operation plan of electrical changing station charge and discharge a few days ago, then remaining period electrical changing station can dissolve regenerative resource 8380.3kW, real
After applying in a few days rolling scheduling plan, remaining period electrical changing station dissolves regenerative resource 8768.6kW, illustrates proposed by the invention
Electrical changing station charge and discharge dispatching method can gradually reduce the uncertainty planned a few days ago in the in a few days stage, further increase power distribution network and disappear
Receive the degree of regenerative resource.
In conclusion a kind of electric automobile charging station charge and discharge scheduling promoting regenerative resource consumption proposed by the present invention
Method effectively can dissolve extra electricity in renewable energy power generation peak period, and conventional adjustable machine is extenuated in load boom period
Group power generation burden, system total operating cost is reduced while maximizing regenerative resource in consumption power grid.
Claims (6)
1. a kind of electric automobile charging station charge and discharge dispatching method promoting regenerative resource consumption, which is characterized in that this method
Include the following steps：
1) power generation of next day load power demand forecasting information, regenerative resource hourly is obtained from regional power grid scheduling center
Output predictive information, electric automobile charging station change electricity demanding and change battery dump energy predictive information, are disappeared with maximizing
The regional adjustable unit generation cost of regenerative resource, minimum of receiving is optimization aim, and synthesizes total optimization mesh of day last stage
Mark is gone out with the constraint of electrical changing station charging and discharging state, the constraint of electrical changing station charge-discharge electric power, electrical changing station electricity storage constraint, adjustable unit
Force constraint, adjustable unit ramp loss, adjustable Unit Commitment time-constrain, user power utilization constraint of demand are constraints, are established
Multiobjective Optimal Operation model a few days ago carries out Multiobjective Optimal Operation a few days ago, obtain electrical changing station a few days ago charge and discharge operation plan and
The power generation dispatching plan a few days ago of adjustable unit；
2) in the in a few days stage, updated workload demand is obtained from regional power grid scheduling center, can be again every Fixed Time Interval
The raw energy is contributed, electric automobile charging station changes the predictive information of electricity demanding and remaining capacity in the remaining period in a few days current time,
Using the electrical changing station that is obtained in step 1), charge and discharge operation plan and the power generation dispatching plan a few days ago of adjustable unit is foundations a few days ago, to work as
The preceding moment, remaining period regenerative resource consumption maximum turned to optimization aim, with electrical changing station charge-discharge electric power amendment constraint, changed electricity
Constraint is corrected in electricity of standing storage, rolling planning is constrained to constraints to the amendment planned a few days ago, establishes in a few days rolling optimization tune
Model is spent, rolling optimization is carried out to the charge-discharge electric power of remaining period electrical changing station, obtains remaining period electrical changing station charge-discharge electric power
Correction amount, and to the electrical changing station in the remaining period, charge and discharge operation plan is modified a few days ago with the correction amount.
2. a kind of electric automobile charging station charge and discharge dispatching party promoting regenerative resource consumption described in accordance with the claim 1
Method, which is characterized in that in the step 1),
The optimization aim for maximizing consumption regenerative resource is as follows：
In formula, f1For the regenerative resource that last stage day is not dissolved, TREIt is more than system loading for generated output of renewable energy source
The set at demand moment, Pt RE,DAFor the generated output a few days ago of t moment regenerative resource,It is adjustable for last stage day i-th
For unit in the output of t moment, N is total number of units of adjustable unit,For the power load demand a few days ago of t moment system, Pt ch,DA
For the charging load of last stage day t moment electrical changing station, ηchFor the charge efficiency of electrical changing station, Pt dis,DAIt is changed for last stage day t moment
The electric discharge load in power station, ηdisFor the charge efficiency of electrical changing station；
The optimization aim for minimizing the adjustable unit generation cost in area is as follows：
In formula, f2For the cost of electricity-generating of last stage day adjustable unit, T gathers for total time, aiFor the cost of electricity-generating of i-th unit
Quadratic coefficients, biFor the cost of electricity-generating coefficient of first order of i-th unit, ciFor the cost of electricity-generating constant term coefficient of i-th unit, i is
Adjustable machine group #；
Total optimization aim of the multiple-objection optimization is as follows：
minfDA=α (f1/f10)+β(f2/f20)
Wherein, fDAFor total optimization aim of last stage day, α is the weight coefficient that regenerative resource dissolves target, and β is adjustable unit
The weight coefficient of cost of electricity-generating target, f10Power initial value, f are sent for the regenerative resource in the case of being not optimized20For not into
The cost of electricity-generating initial value of adjustable unit in the case of row optimization.
3. a kind of electric automobile charging station charge and discharge dispatching party promoting regenerative resource consumption according to claim 2
Method, which is characterized in that in the step 1),
The electrical changing station charging and discharging state is constrained to：
In formula,Indicate last stage day electrical changing station t moment charged state,Indicate that electrical changing station is in t moment
Charged state,Indicate that electrical changing station is not in charged state in t moment；Indicate last stage day electrical changing station in t
The discharge condition at quarter,Indicate that electrical changing station is in discharge condition in t moment,Indicate electrical changing station t moment not
In discharge condition；
The electrical changing station charge-discharge electric power is constrained to：
In formula, Pch, PdisThe charge power and discharge power of single charging pile respectively in electrical changing station,Respectively
For in last stage day t moment electrical changing station in micro USB electricity cell number and online discharge battery number, NmaxFor the charging digit in electrical changing station
Amount；
The electrical changing station electricity storage is constrained to：
In formula,Indicate the storing electricity in last stage day t moment electrical changing station,Indicate t- Δs T moment last stage day
Storing electricity in electrical changing station,For the charging load of t- Δs T last stage day, electrical changing station moment,For last stage day t-
The electric discharge load of Δ T moment electrical changing stations, Δ T are unit time interval, EbatteryIndicate the full power consumption of single group battery,
For the number of batteries that last stage day t moment electrical changing station user needs replacing,It is used for t- Δs T last stage day, electrical changing station moment
The number of batteries that family needs replacing,The remaining capacity of battery is changed for t- Δs T moment last stage day, η is electrical changing station capacity
Percentage reserve, NTTo include the battery total quantity of reserve battery in electrical changing station, it is contemplated that the service life of batteries of electric automobile changes electricity
The depth of discharge of all batteries is no more than 80% in standing；
The adjustable unit output is constrained to：
In formula,For i-th unit of last stage day t moment start and stop state,Indicate i-th unit in t
It carves and is in open state,It indicates that i-th unit is in t moment and shuts down state,Respectively i-th
The minimum and maximum generated output of unit；
The adjustable unit ramp loss is：
In formula,Output for i-th adjustable unit of last stage day at the t+ Δ T moment,For i-th adjustable unit to
Upper climbing rate limit,For the downward creep speed limitation of i-th adjustable unit；
The adjustable Unit Commitment time-constrain is：
In formula：Start and stop state for i-th unit of last stage day at the t- Δ T moment,Respectively i-th
Minimum run time and minimum idle time after shutdown after the booting of adjustable unit；
The user power utilization constraint of demand is：
4. a kind of electric automobile charging station charge and discharge dispatching party promoting regenerative resource consumption described in accordance with the claim 3
Method, which is characterized in that in the step 2),Pch, Pdis,NMax,, Ebattery,
η, NTDefinition is identical with step 1), and concrete numerical value is obtained from step 1) a few days ago Optimized Operation.
5. a kind of electric automobile charging station charge and discharge dispatching party promoting regenerative resource consumption described in accordance with the claim 3
Method, which is characterized in that in the step 2),
Residue period on same day regenerative resource dissolves maximized optimization aim and is：
In formula, T0Moment is the current time of rolling optimization, and Δ t is the time interval in rolling optimization stage, Pt RE,RTo roll rank
Section regenerative resource is contributed in the prediction of t moment,To roll the stage in the prediction workload demand of t moment, △ Pt ch,RTo roll
Stage electrical changing station charge power is in the correction value of t moment, △ Pt dis,RTo roll stage electrical changing station discharge power repairing in t moment
Positive value.
6. a kind of electric automobile charging station charge and discharge dispatching party promoting regenerative resource consumption according to claim 5
Method, which is characterized in that in the step 2),
The electrical changing station charge-discharge electric power amendment is constrained to：
T=T0+△t,…T
In formula,For roll the online rechargeable battery number of stage electrical changing station t moment correction value,It is changed for the rolling stage
Correction value of the online discharge battery number in power station in t moment；
The electrical changing station electricity storage, which is corrected, to be constrained to：
T=T0+△t,…T
In formula,Indicate the storing electricity in rolling stage t moment electrical changing station,Indicate that rolling stage t- time Δts change
Storing electricity in power station,For the electrical changing station charge power of last stage day t- time Δts,To roll stage electrical changing station
Charge power t- time Δts correction value,For the electrical changing station discharge power of last stage day t- time Δts,For rolling
Dynamic stage electrical changing station discharge power t- time Δts correction value,It is needed replacing to roll stage t moment electrical changing station user
Number of batteries,To roll the number of batteries that stage t- time Δt electrical changing station user needs replacing,To roll the stage
T- time Δts change the remaining capacity of battery；
The rolling planning is constrained to the amendment planned a few days ago：
T=T0+△t,…T
In formula,The minimum and maximum that respectively the online rechargeable battery number of electrical changing station allows in the rolling stage is repaiied
Positive value,The minimum and maximum correction value that respectively the online discharge battery number of electrical changing station allows in the stage of rolling.
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| CN108448567B (en) * | 2018-02-13 | 2021-09-21 | 华南理工大学 | Intelligent control system for electric vehicle agent participating in energy and frequency modulation market |
| CN108520314B (en) * | 2018-03-19 | 2020-10-09 | 东南大学 | Active power distribution network scheduling method combined with V2G technology |
| GB2577853B (en) * | 2018-06-22 | 2021-03-24 | Moixa Energy Holdings Ltd | Systems for machine learning, optimising and managing local multi-asset flexibility of distributed energy storage resources |
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| CN109986989A (en) * | 2019-04-17 | 2019-07-09 | 三峡大学 | A kind of orderly charging method of electric car promoting new energy consumption |
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| CN110826880B (en) * | 2019-10-24 | 2023-07-28 | 成都信息工程大学 | Active power distribution network optimal scheduling method for large-scale electric automobile access |
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