CN108493972A - A kind of appraisal procedure of electric vehicle instantaneous stand-by ability - Google Patents
A kind of appraisal procedure of electric vehicle instantaneous stand-by ability Download PDFInfo
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- CN108493972A CN108493972A CN201810235001.2A CN201810235001A CN108493972A CN 108493972 A CN108493972 A CN 108493972A CN 201810235001 A CN201810235001 A CN 201810235001A CN 108493972 A CN108493972 A CN 108493972A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- 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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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- 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
- B60L55/00—Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- 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
- Y02T90/12—Electric charging stations
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses a kind of appraisal procedures of electric vehicle instantaneous stand-by ability, including determine the parameter in meter and the electric vehicle charge/discharge contract of user's trip requirements；Providing influences the charge/discharge feasible zone in electric vehicle charge/discharge path；Based on charge/discharge feasible zone, the power boundary constraint for influencing electric vehicle marginal capacity and electricity boundary constraint are provided；Calculate minimum Constraint line；Consider battery life constraint, provides discharge time in the depth of discharge and single dispatching cycle of electric vehicle and constrain；Based on institute's Constrained, the computational methods of electric vehicle marginal capacity are provided.The present invention can be with the instantaneous stand-by ability of rapid evaluation electric vehicle.
Description
Technical field
The present invention relates to a kind of appraisal procedures of electric vehicle instantaneous stand-by ability, belong to electric power assisted hatching neck
Domain.
Background technology
Existing electric system mainly utilizes the Real-time Balancing of the spare measure resource realization power of Generation Side：It is needing upwards
When adjusting, generally realized by dispatching conventional electric power generation unit, such as coal electricity, pneumoelectric, water power；It, can when needing to adjust downwards
The source of raising wages can further be expanded to the new energy power supply such as wind, light.Especially the power supply architecture with China in this way based on coal electricity, coal motor
Group startup is slow, there are minimum technology units limits, and relying on the generations of electricity by new energy such as coal electricity regulating wind power, photovoltaic fluctuation, there are larger
Limitation：It abandons wind because coal is established machine amount by cable and excessively generated and abandons optical issue, cause the significant wastage of clean energy resource resource；Cause
Coal electricity has little time booting or regulations speed is insufficient, causes to adjust the rapid fluctuations for not catching up with regenerative resource, causes power failure risk.
Therefore, conventional spare measure resource and scheduling means do not adapt to the development of new situations increasingly, it is necessary to fully find, dig
It digs other fast powers and adjusts resource, such as play the effect of the spare measure resource of Demand-side, find technically reliably, economically
Feasible intelligent grid solution.
From the point of view of technological layer, electric vehicle is the spare measure resource of potential, good Demand-side, is had both controllable negative
The characteristic of lotus and energy storage is gradually valued by people in the application prospect of peak regulation, frequency modulation, spare aspect.Electric vehicle collection
Group is normally at load center, can switch charge and discharge state rapidly and provide transient response.
From the point of view of economic level, most electric vehicles are owned by private user in the future, and grid company is without sharing it
Acquisition expenses.But grid company still needs to rely on the power generation and ancillary service effectively operated to obtain the scheduling power of electric vehicle
Market introduces rational incentive mechanism, pays corresponding control cost.The complexity of assisted hatching Mechanism Design determines
It is one of the main bugbear that China's electric Power Reform faces at this stage.The distributed nature of electric vehicle enables it that can not be directly accessed
The whosale electricity market more concentrated, and it is upper extremely in characteristic of division identification convenient for the electric vehicle cluster of management and analysis
It is complicated.Current research lacks the appraisal procedure that electric vehicle runs marginal capacity in short-term.
Electric vehicle participates in running spare ability and current charge/discharge power, current carrying capacity state, battery pack appearance
Amount, maximum charge/discharge power and related with factors such as vehicle start and end times；Since some of which factor is time-varying
Factor, therefore electric vehicle provides spare ability and also shows time varying characteristic in charging process.Importantly, as one kind
Controllable load even distributed energy storage device, the marginal capacity of electric vehicle are decided by demand elasticity, and demand elasticity by
The contract that charges determines that charging contract finally participates in wish by user and determines.It would therefore be highly desirable to propose meter and the electricity of user's trip requirements
Electrical automobile runs the appraisal procedure of marginal capacity in short-term, quantifies the marginal capacity of electric vehicle with this.
Invention content
In order to solve the above technical problem, the present invention provides a kind of appraisal procedures of electric vehicle instantaneous stand-by ability.
In order to achieve the above object, the technical solution adopted in the present invention is：
A kind of appraisal procedure of electric vehicle instantaneous stand-by ability, includes the following steps,
Determine the parameter in meter and the electric vehicle charge/discharge contract of user's trip requirements；
Providing influences the charge/discharge feasible zone in electric vehicle charge/discharge path；
Based on charge/discharge feasible zone, the power boundary constraint for influencing electric vehicle marginal capacity and electricity boundary are provided about
Beam；
Calculate minimum Constraint line；
Consider battery life constraint, provides discharge time in the depth of discharge and single dispatching cycle of electric vehicle and constrain；
Based on institute's Constrained, the computational methods of electric vehicle marginal capacity are provided.
Parameter in charge/discharge contract includes network entry time, off-network time, originate electricity, electricity of guaranteeing the minimum, Expected energy and
Charge price.
Power boundary indicates with maximum charge/discharge power, and when not by electricity edge effect, power boundary is fixed value；
Conversely, time varying characteristic is presented in power boundary.
Power boundary is constrained to,
Pcu(t)≤P(t)+PGmax
Pcd(t)≤PLmax-P(t)
-PGmax≤P(t)≤PLmax
Wherein, Pcu(t) it is current upper spare capacity, Pcd(t) it is as front lower spare capacity, PLmax、PGmaxIt is respectively maximum
Charge power and discharge power, P (t) are current charge/discharge power,
P (t)=Sc(t)PL(t)ηL-Sd(t)PG(t)ηG, PL(t)、PG(t) it is respectively real time charging power and discharge power,
ηL、ηGRespectively charge efficiency and discharging efficiency, Sc(t) it is charged state (0,1) integer variable, Sd(t) be discharge condition (0,
1) integer variable.
Electricity boundary indicates that electricity boundary is at each moment in dynamic change with maximum/minimum electricity.
Electricity boundary constraint is,
E(texp)≥Eexp
Wherein, E (t) is batteries of electric automobile real time electrical quantity, EstartElectricity is originated when just having accessed power grid for electric vehicle,
tstartPower grid time, E are accessed for electric vehiclemsFor electricity of guaranteeing the minimum, tmsThe time for electricity of guaranteeing the minimum is charged to for electric vehicle, such as
Fruit Estart≥Ems, then tms=tstart, texpFor electric vehicle off-network time, EexpAnd EmaxRespectively off-network when user expectation electricity
Amount and battery capacity, E (texp) be to electric vehicle when the off-network time battery capacity.
Minimum Constraint line is,
Wherein, Emin(t) it is minimum Constraint line.
Depth of discharge constrains,
Ems=max (Ems,(1-D)Emax)
Wherein, D is depth of discharge；
Discharge time constraint in single dispatching cycle,
nc≤1
Wherein, ncFor discharge time in single dispatching cycle.
By one dispatching cycle T be divided into n length be Δ t period, freeze the time variation of power in Δ t,
The calculation formula of electric vehicle marginal capacity is,
Wherein, Pcu(k) it is k-th of period upper spare capacity, Pcd(k) it is spare capacity under k-th of period, P (k)
For k-th of period charge/discharge power, E (k) is k-th of period electricity of batteries of electric automobile, Emin(k+1) it is kth+1
Period minimum Constraint, v (k) are the whether online state of k-th of period electric vehicle,
The advantageous effect that the present invention is reached：1, the present invention can be with the instantaneous stand-by ability of rapid evaluation electric vehicle；2、
The present invention considers the uncertain trip requirements of user when calculating the marginal capacity of electric vehicle.
Description of the drawings
Fig. 1 is the flow chart of the present invention；
Fig. 2 is charge/discharge feasible zone schematic diagram.
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
As shown in Figure 1, a kind of appraisal procedure of electric vehicle instantaneous stand-by ability, includes the following steps：
Step 1, the parameter in meter and the electric vehicle charge/discharge contract of user's trip requirements is determined.
Charge/discharge contract needs all kinds of trip requirements for meeting user, including uncertain demand；Therefore electric vehicle
Electricity need to be consistently greater than a certain numerical value arranged with user and (be known as the electricity E that guarantees the minimumms), to ensure user's not timing vehicle demand.
Starting electricity E when just having accessed power grid according to electric vehiclestartDifference, charge/discharge strategy can consider by 2 steps：a)
Estart＜ EmsWhen, electricity of guaranteeing the minimum is charged to maximum charge power immediately, then enables the charging strategy of next step；b)Estart
≥EmsWhen, further using given charge/discharge strategy.Therefore, the parameter in charge/discharge contract includes network entry time, off-network
Time originates electricity, electricity of guaranteeing the minimum, Expected energy and charging price.
Step 2, providing influences the charge/discharge feasible zone in electric vehicle charge/discharge path.
In view of meeting or exceeding " Expected energy " (in attached drawing 2 state 4.) before " off-network time ", charge/discharge strategy is defeated
Going out the path left in " when m- electricity " plane can only be limited in certain area, and it is feasible that this region is known as charge/discharge
Domain has arbitrary mulitpath optional in charge/discharge feasible zone, and a paths are a kind of charge/discharge strategy.In attached drawing 2, tstart
Power grid time, t are accessed for electric vehicleexpFor electric vehicle off-network time, EexpAnd EmaxRespectively off-network when user expectation electricity
Amount and battery capacity.The main parameters for influencing the path of electric vehicle charge/discharge in charge/discharge feasible zone are maximum charge/discharge
Power, battery capacity, electricity of guaranteeing the minimum, Expected energy, charging the time started, charging the end time, current charge/discharge power, when
Preceding state of charge, and meter and battery life depth of discharge and discharge time.
Step 3, it is based on charge/discharge feasible zone, provides the power boundary constraint for influencing electric vehicle marginal capacity and electricity
Boundary constraint.
Power boundary indicates with maximum charge/discharge power, and when not by electricity edge effect, power boundary is fixed value；
Conversely, time varying characteristic is presented in power boundary.Current charge/discharge power P (t)=S of electric vehiclec(t)PL(t)ηL-Sd(t)PG
(t)ηG, wherein PL(t)、PG(t) it is respectively real time charging power and discharge power, ηL、ηGRespectively charge efficiency and electric discharge is imitated
Rate, Sc(t) it is charged state (0,1) integer variable, Sc(t)=1 indicate that electric vehicle is in charged state, Sc(t)=0 it indicates
Electric vehicle is in non-charged state, Sd(t) it is discharge condition (0,1) integer variable, Sd(t)=1 it indicates that electric vehicle is in put
Electricity condition, Sd(t)=0 indicate that electric vehicle is in non-discharged state；Sc(t)+Sd(t)≤1。
By maximum charge/discharge power constraint, power boundary is constrained to：
Pcu(t)≤P(t)+PGmax (1)
Pcd(t)≤PLmax-P(t) (2)
-PGmax≤P(t)≤PLmax (3)
Wherein, Pcu(t) it is current upper spare capacity, Pcd(t) it is as front lower spare capacity, PLmax、PGmaxIt is respectively maximum
Charge power and discharge power.
Electricity boundary indicates that electricity boundary is at each moment in dynamic change with maximum/minimum electricity.Exactly electricity
The presence on boundary so that the marginal capacity of electric vehicle is more limited with respect to for conventional rack, is mainly reflected in when cannot be long
Between peak regulation or spare capacity are persistently provided.
Electricity boundary constraint is：
E(texp)≥Eexp (5)
Wherein, E (t) is batteries of electric automobile real time electrical quantity, tmsThe time for electricity of guaranteeing the minimum is charged to for electric vehicle, if
Estart≥Ems, then tms=tstart, E (texp) be to electric vehicle when the off-network time battery capacity.
Step 4, minimum Constraint line is calculated.
Since battery is constrained by maximum charge power, the Expected energy in order to ensure meeting user in planned time is wanted
It asks, starts to receive in regulation and control to off-grid period in electric vehicle, battery capacity should be all easy to push away there are one the requirement of minimum electricity
Export minimum Constraint line of each moment (in respective figure 2 state 2.-state 3. line segment and state 3.-state 4. line segment), such as
Shown in formula (7), therefore formula (4) can further be write as formula (8).Once battery capacity is fallen on minimum Constraint line, charge bullet
Property will disappear immediately, it is necessary to charge at once according to maximum charge power, could reach Expected energy in user's off-network.
Wherein, Emin(t) it is minimum Constraint line.
Step 5, consider battery life constraint, provide discharge time in the depth of discharge and single dispatching cycle of electric vehicle
Constraint.
In addition to power and electricity boundary, it is contemplated that the protection to battery life also includes depth of discharge in charge/discharge contract
D and discharge time ncTo the condition that discharge process limits, this substantially can also reduce electric vehicle in charge/discharge feasible zone
Charge/discharge path.
Depth of discharge is constrained to：
Ems=max (Ems,(1-D)Emax) (9)
Consider that discharge time is constrained in single dispatching cycle and at most discharges 1 time, discharge time is about in single dispatching cycle
Shu Wei：
nc≤1 (10)。
Step 6, it is based on institute's Constrained, provides the computational methods of electric vehicle marginal capacity.
Might as well to time shaft discretization, by one dispatching cycle T be divided into the period that n length is Δ t, freeze in Δ t
The time variation of power, then formula (6) can be rewritten as formula (11), wherein v (k) is the whether online shape of k-th of period electric vehicle
State (" 1 " indicates online, and " 0 " indicates offline).By formula (1)-formula (9), being apparent from the upper and lower marginal capacity of electric vehicle can be by formula
(12), formula (13) calculates.
Wherein, Pcu(k) it is k-th of period upper spare capacity, Pcd(k) it is spare capacity under k-th of period, P (k)
For k-th of period charge/discharge power, E (k) is k-th of period electricity of batteries of electric automobile, Emin(k+1) it is kth+1
Period minimum Constraint, E (k)-Emin(k+1) be maximum in k-th time can discharge capacity, [E (k)-Emin(k+1)]/
Δ t+P (k) be consider current working under electric vehicle can discharge capacity potentiality, reflect the influence on electricity boundary；Formula (12) and
Formula (13) is intended to, by comparing power boundary and electricity boundary, calculate the upper and lower spare capacity of day part electric vehicle.
In order to further illustrate the above method, it is applied to certain electric vehicle and participates in orderly charge/discharge, simulation example
Setting is as follows：Charge period is 19:00~next day 07:00, battery capacity Emax=30kWh, guarantee the minimum electricity Ems=50%Emax, the phase
Hope electricity Eexp=95%Emax, depth of discharge D=50%, maximum charge power PLmax=3.3kW, maximum discharge power PGmax=
3.3kW, time scale Δ t=1 hours, initial cell electricity Estart=50%Emax。
Constraint equation (1)~formula (10) calculates electronic vapour under different initial charge strategies according to formula (12)~formula (13)
Vehicle marginal capacity, simulation result are shown in Table 1；Wherein charging strategy 1 is not allow 3h chargings of discharging and be delayed, and charging strategy 2 is fair
Perhaps it discharges and the 3h that is delayed charges.
The simulation result of electric vehicle marginal capacity under the different charging strategies of table 1
The setting of upper and lower spare capacity price is shown in Table 2.It is computed the use for selecting initial charge strategy for strategy 1 and strategy 2
The spare value in family is respectively 0.972 yuan and 2.127 yuan.
The spare capacity price of 2 day part of table
In conclusion the above method can quickly calculate the instantaneous stand-by ability of electric vehicle.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations
Also it should be regarded as protection scope of the present invention.
Claims (9)
1. a kind of appraisal procedure of electric vehicle instantaneous stand-by ability, it is characterised in that：Include the following steps,
Determine the parameter in meter and the electric vehicle charge/discharge contract of user's trip requirements；
Providing influences the charge/discharge feasible zone in electric vehicle charge/discharge path；
Based on charge/discharge feasible zone, the power boundary constraint for influencing electric vehicle marginal capacity and electricity boundary constraint are provided；
Calculate minimum Constraint line；
Consider battery life constraint, provides discharge time in the depth of discharge and single dispatching cycle of electric vehicle and constrain；
Based on institute's Constrained, the computational methods of electric vehicle marginal capacity are provided.
2. a kind of appraisal procedure of electric vehicle instantaneous stand-by ability according to claim 1, it is characterised in that：Discharge charge
Parameter in electric contract includes network entry time, off-network time, originate electricity, electricity of guaranteeing the minimum, Expected energy and charging price.
3. a kind of appraisal procedure of electric vehicle instantaneous stand-by ability according to claim 1, it is characterised in that：Power side
Boundary indicates with maximum charge/discharge power, and when not by electricity edge effect, power boundary is fixed value；Conversely, power boundary is in
Existing time varying characteristic.
4. a kind of appraisal procedure of electric vehicle instantaneous stand-by ability according to claim 3, it is characterised in that：Power side
Bound constrained is,
Pcu(t)≤P(t)+PGmax
Pcd(t)≤PLmax-P(t)
-PGmax≤P(t)≤PLmax
Wherein, Pcu(t) it is current upper spare capacity, Pcd(t) it is as front lower spare capacity, PLmax、PGmaxRespectively maximum charge
Power and discharge power, P (t) are current charge/discharge power, P (t)=Sc(t)PL(t)ηL-Sd(t)PG(t)ηG, PL(t)、PG(t)
Respectively real time charging power and discharge power, ηL、ηGRespectively charge efficiency and discharging efficiency, Sc(t) be charged state (0,
1) integer variable, Sd(t) it is discharge condition (0,1) integer variable.
5. a kind of appraisal procedure of electric vehicle instantaneous stand-by ability according to claim 1, it is characterised in that：Electricity side
Boundary indicates that electricity boundary is at each moment in dynamic change with maximum/minimum electricity.
6. a kind of appraisal procedure of electric vehicle instantaneous stand-by ability according to claim 5, it is characterised in that：Electricity side
Bound constrained is,
E(texp)≥Eexp
Wherein, E (t) is batteries of electric automobile real time electrical quantity, EstartElectricity, t are originated when just having accessed power grid for electric vehiclestartFor
Electric vehicle accesses power grid time, EmsFor electricity of guaranteeing the minimum, tmsThe time for electricity of guaranteeing the minimum is charged to for electric vehicle, if Estart
≥Ems, then tms=tstart, texpFor electric vehicle off-network time, EexpAnd EmaxRespectively off-network when user Expected energy and electricity
Tankage, E (texp) be to electric vehicle when the off-network time battery capacity.
7. a kind of appraisal procedure of electric vehicle instantaneous stand-by ability according to claim 1, it is characterised in that：Minimum electricity
Measuring constrained line is,
Wherein, Emin(t) it is minimum Constraint line.
8. a kind of appraisal procedure of electric vehicle instantaneous stand-by ability according to claim 1, it is characterised in that：Electric discharge is deep
Degree constraint,
Ems=max (Ems,(1-D)Emax)
Wherein, D is depth of discharge；
Discharge time constraint in single dispatching cycle,
nc≤1
Wherein, ncFor discharge time in single dispatching cycle.
9. a kind of appraisal procedure of electric vehicle instantaneous stand-by ability according to claim 1, it is characterised in that：By one
Dispatching cycle, T was divided into the period that n length is Δ t, freezed the time variation of power in Δ t,
The calculation formula of electric vehicle marginal capacity is,
Wherein, Pcu(k) it is k-th of period upper spare capacity, Pcd(k) it is spare capacity under k-th of period, P (k) is kth
A period charge/discharge power, E (k) are k-th of period electricity of batteries of electric automobile, Emin(k+1) it is+1 period of kth
Minimum Constraint, v (k) are the whether online state of k-th of period electric vehicle,
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110880777A (en) * | 2019-12-20 | 2020-03-13 | 国电南瑞科技股份有限公司 | Method and device for evaluating emergency peak regulation standby capacity of energy storage at power grid side |
| CN113428048A (en) * | 2020-03-23 | 2021-09-24 | 丰田自动车株式会社 | Information presentation system, server, information presentation method, and information presentation device |
| CN113829934A (en) * | 2021-10-22 | 2021-12-24 | 华北电力大学 | Electric vehicle cluster aggregation response capacity determining method and scheduling method |
| CN115528689A (en) * | 2022-11-28 | 2022-12-27 | 南京邮电大学 | Agricultural greenhouse spare capacity assessment method considering light supplement requirement |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104167751A (en) * | 2014-07-18 | 2014-11-26 | 上海电力学院 | Charging-discharging-storage integrated power station dispatching-based microgrid economic operation method |
| CN104600729A (en) * | 2014-08-19 | 2015-05-06 | 浙江工业大学 | V2G technology based participating economic dispatching optimizing control method for electric vehicle |
| CN105826934A (en) * | 2016-04-27 | 2016-08-03 | 中国电力科学研究院 | Method for controlling auxiliary frequency modulation of electric vehicle based on feasible region |
| CN105932741A (en) * | 2016-06-02 | 2016-09-07 | 中国南方电网有限责任公司电网技术研究中心 | Charging control method and system of electric automobile group |
| CN107316152A (en) * | 2017-06-28 | 2017-11-03 | 国网江苏省电力公司经济技术研究院 | Electric automobile participates in planing method, device and the computing device of Demand Side Response |
| CN107499163A (en) * | 2017-08-21 | 2017-12-22 | 中国能源建设集团江苏省电力设计院有限公司 | A kind of charge control method suitable for electric automobile charging station |
| EP3288141A1 (en) * | 2016-07-25 | 2018-02-28 | Bioenergon Green Energy Ltd | Automated battery storage system and power plant, for the generation of electric power, stabilisation of the grid, provision of reserve energy |
-
2018
- 2018-03-21 CN CN201810235001.2A patent/CN108493972B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104167751A (en) * | 2014-07-18 | 2014-11-26 | 上海电力学院 | Charging-discharging-storage integrated power station dispatching-based microgrid economic operation method |
| CN104600729A (en) * | 2014-08-19 | 2015-05-06 | 浙江工业大学 | V2G technology based participating economic dispatching optimizing control method for electric vehicle |
| CN105826934A (en) * | 2016-04-27 | 2016-08-03 | 中国电力科学研究院 | Method for controlling auxiliary frequency modulation of electric vehicle based on feasible region |
| CN105932741A (en) * | 2016-06-02 | 2016-09-07 | 中国南方电网有限责任公司电网技术研究中心 | Charging control method and system of electric automobile group |
| EP3288141A1 (en) * | 2016-07-25 | 2018-02-28 | Bioenergon Green Energy Ltd | Automated battery storage system and power plant, for the generation of electric power, stabilisation of the grid, provision of reserve energy |
| CN107316152A (en) * | 2017-06-28 | 2017-11-03 | 国网江苏省电力公司经济技术研究院 | Electric automobile participates in planing method, device and the computing device of Demand Side Response |
| CN107499163A (en) * | 2017-08-21 | 2017-12-22 | 中国能源建设集团江苏省电力设计院有限公司 | A kind of charge control method suitable for electric automobile charging station |
Non-Patent Citations (1)
| Title |
|---|
| 陈彬等: "计及电动汽车充电调度可行域的电力***机组最优组合", 《华北电力大学学报》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110880777A (en) * | 2019-12-20 | 2020-03-13 | 国电南瑞科技股份有限公司 | Method and device for evaluating emergency peak regulation standby capacity of energy storage at power grid side |
| CN113428048A (en) * | 2020-03-23 | 2021-09-24 | 丰田自动车株式会社 | Information presentation system, server, information presentation method, and information presentation device |
| CN113829934A (en) * | 2021-10-22 | 2021-12-24 | 华北电力大学 | Electric vehicle cluster aggregation response capacity determining method and scheduling method |
| CN115528689A (en) * | 2022-11-28 | 2022-12-27 | 南京邮电大学 | Agricultural greenhouse spare capacity assessment method considering light supplement requirement |
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