CN108336776A - Charging station distribution capacity determines method and apparatus - Google Patents
Charging station distribution capacity determines method and apparatus Download PDFInfo
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- CN108336776A CN108336776A CN201711484826.XA CN201711484826A CN108336776A CN 108336776 A CN108336776 A CN 108336776A CN 201711484826 A CN201711484826 A CN 201711484826A CN 108336776 A CN108336776 A CN 108336776A
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- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000009826 distribution Methods 0.000 title claims abstract description 32
- 238000004146 energy storage Methods 0.000 claims abstract description 80
- 230000006798 recombination Effects 0.000 claims abstract description 33
- 238000005215 recombination Methods 0.000 claims abstract description 33
- 238000003860 storage Methods 0.000 claims description 21
- 238000005457 optimization Methods 0.000 claims description 13
- 230000000694 effects Effects 0.000 abstract description 4
- 230000006870 function Effects 0.000 description 15
- 238000004590 computer program Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 6
- 238000012545 processing Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 230000008901 benefit Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000003786 synthesis reaction Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 101000911390 Homo sapiens Coagulation factor VIII Proteins 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 102000057593 human F8 Human genes 0.000 description 1
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- 238000011068 loading method Methods 0.000 description 1
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- 229940047431 recombinate Drugs 0.000 description 1
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Classifications
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- H02J7/0027—
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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
- B60L53/30—Constructional details of charging stations
-
- 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
-
- 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)
Abstract
The invention discloses a kind of charging station distribution capacities to determine method and apparatus.This method includes：Determine the battery module for meeting preset condition in unit battery module；The battery module for meeting preset condition in unit battery module is recombinated, the battery module after being recombinated；Battery module after recombination is accessed to original energy-storage battery group of charging station.Through the invention, the flexibility for improving charging station expansion method has been achieved the effect that.
Description
Technical field
The present invention relates to electrical network fields, and method and apparatus are determined in particular to a kind of charging station distribution capacity.
Background technology
According to energy storage technology and associated loadings control technology, charging station peak power and average power difference value will be made apparent
It reduces, under conditions of reasonable disposition energy-storage battery capacity, is calculated by distribution capacity 50% is reduced, it is possible to reduce power grid dilatation
3.5 hundred million yuan of cost.
Traditional dilatation, which needs to upgrade a certain circuit either to increase, builds including upgrading or Zeng Jian substations transformation
Device, distribution line etc..Assuming that it is 600kW that power distribution network, which can be the distribution capacity that charging station construction can provide, by charging station May
Load curve on the 18th can be seen that only in two load boom periods, will increase the equipment built according to dilatation more than distribution capacity
It only comes into operation in two very short periods in one day, remaining most of the time is at idle state, money
Source utilization rate is relatively low, and the cost that the upgrading of this part or increasing are built is very high, reduces the economic benefit of operation of power networks.
For the high problem of charging station expansion method limitation in the related technology, effective solution side is not yet proposed at present
Case.
Invention content
The main purpose of the present invention is to provide a kind of charging station distribution capacities to determine method and apparatus, to solve charging station
The high problem of expansion method limitation.
To achieve the goals above, according to an aspect of the invention, there is provided a kind of charging station distribution capacity determination side
Method, which is characterized in that including：Determine the battery module for meeting preset condition in unit battery module；It will be in unit battery module
The battery module for meeting preset condition is recombinated, the battery module after being recombinated；Battery module after the recombination is connect
Enter original energy-storage battery group of charging station.
Further, include by original energy-storage battery group of the battery module access charging station after the recombination：Determine mesh
Scalar functions；The stored energy capacitance of charging station energy-storage system is optimized by the object function, obtains optimum results；According to
The optimum results determine the connection side of the quantity of the battery module after the recombination of original energy-storage battery group of access charging station
Formula.
Further, described after the battery module after the recombination is accessed original energy-storage battery group of charging station
Method further includes：Calculate the year operation expense of energy-storage system；The year operation expense is optimized, is obtained excellent
Change result；The battery module after the recombination of access is optimized according to the optimum results, obtains making the year operation and maintenance
The minimum access way of cost.
Further, the year operation expense for calculating energy-storage system includes：Calculate the limitation peak value of the energy-storage system
Power；Calculate the peak power of the energy-storage system；Calculate the total cost of the energy-storage system；Calculate the energy-storage system
Stored energy capacitance.
To achieve the goals above, according to another aspect of the present invention, a kind of charging station distribution capacity determination is additionally provided
Device, which is characterized in that including：Determination unit, for determining the battery module for meeting preset condition in unit battery module；
Recomposition unit, for the battery module for meeting preset condition in unit battery module to be recombinated, the battery after being recombinated
Module；Access unit, original energy-storage battery group for the battery module after the recombination to be accessed to charging station.
Further, the access unit includes：Determining module, for determining object function；Optimization module, for leading to
It crosses the object function to optimize the stored energy capacitance of charging station energy-storage system, obtains optimum results；Determining module is used for
The connection of the quantity of the battery module after the recombination of original energy-storage battery group of access charging station is determined according to the optimum results
Mode.
Further, described device further includes：Computing unit, for being filled by the battery module access after the recombination
After original energy-storage battery group in power station, the year operation expense of energy-storage system is calculated；First optimization unit, for institute
It states a year operation expense to optimize, obtains optimum results；Second optimization unit, for being docked according to the optimum results
Battery module after the recombination entered optimizes, and obtains the access way for keeping the year operation expense minimum.
Further, the computing unit is used for：Calculate the limiting peak power of the energy-storage system；Calculate the storage
The peak power of energy system；Calculate the total cost of the energy-storage system；Calculate the stored energy capacitance of the energy-storage system.
To achieve the goals above, according to another aspect of the present invention, it includes storage to additionally provide a kind of storage medium
Program, wherein equipment where controlling the storage medium when described program is run executes charging station distribution of the present invention
Capacity determining methods.
To achieve the goals above, according to another aspect of the present invention, a kind of processor is additionally provided for running program,
Wherein, it executes charging station distribution capacity of the present invention when described program is run and determines method.
The present invention meets the battery module of preset condition by determining in unit battery module；It will be full in unit battery module
The battery module of sufficient preset condition is recombinated, the battery module after being recombinated；Battery module after recombination is accessed into charging
The original energy-storage battery group stood solves the problems, such as that charging station expansion method limitation is high, and then has reached the expansion of raising charging station
The effect of appearance method flexibility.
Description of the drawings
The attached drawing constituted part of this application is used to provide further understanding of the present invention, schematic reality of the invention
Example and its explanation are applied for explaining the present invention, is not constituted improper limitations of the present invention.In the accompanying drawings：
Fig. 1 is the flow chart that charging station distribution capacity according to the ... of the embodiment of the present invention determines method；And
Fig. 2 is the schematic diagram of charging station distribution capacity determining device according to the ... of the embodiment of the present invention.
Specific implementation mode
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, technical solutions in the embodiments of the present application are clearly and completely described, it is clear that described embodiment is only
The embodiment of the application part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill
The every other embodiment that personnel are obtained without making creative work should all belong to the application protection
Range.
It should be noted that term " first " in the description and claims of this application and above-mentioned attached drawing, "
Two " etc. be for distinguishing similar object, without being used to describe specific sequence or precedence.It should be appreciated that making in this way
Data can be interchanged in the appropriate case, so as to embodiments herein described herein.In addition, term " comprising " and
" having " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing series of steps or list
Process, method, system, product or the equipment of member those of are not necessarily limited to clearly to list step or unit, but may include not having
Have clearly listing or for these processes, method, product or equipment intrinsic other steps or unit.
An embodiment of the present invention provides a kind of charging station distribution capacities to determine method.
Fig. 1 is the flow chart that charging station distribution capacity according to the ... of the embodiment of the present invention determines method, as shown in Figure 1, the party
Method includes the following steps：
Step S102：Determine the battery module for meeting preset condition in unit battery module；
Step S104：The battery module for meeting preset condition in unit battery module is recombinated, after being recombinated
Battery module；
Step S106：Battery module after recombination is accessed to original energy-storage battery group of charging station.
The embodiment meets the battery module of preset condition by determining in unit battery module；It will be in unit battery module
The battery module for meeting preset condition is recombinated, the battery module after being recombinated；Battery module access after recombination is filled
Original energy-storage battery group in power station solves the problems, such as that charging station expansion method limitation is high, and then has reached raising charging station
The effect of expansion method flexibility.
Optionally, include by original energy-storage battery group of the battery module access charging station after recombination：Determine object function；
The stored energy capacitance of charging station energy-storage system is optimized by object function, obtains optimum results；It is determined according to optimum results
Access the connection type of the quantity of the battery module after the recombination of original energy-storage battery group of charging station.
Optionally, after original energy-storage battery group that the battery module after recombinating accesses charging station, method further includes：
Calculate the year operation expense of energy-storage system；Year operation expense is optimized, optimum results are obtained；According to optimization
As a result the battery module after the recombination of access is optimized, obtains the access way for keeping year operation expense minimum.
Optionally, the year operation expense for calculating energy-storage system includes：Calculate the limiting peak power of energy-storage system；
Calculate the peak power of energy-storage system；Calculate the total cost of energy-storage system；Calculate the stored energy capacitance of energy-storage system.
Energy storage technology can be very good to solve the problems, such as that charging station expansion method limitation is high in the embodiment of the present invention, pass through
Transmission and distribution network capacity requirement is reduced, system congestion is mitigated, delays the applications such as power grid upgrades and increasing is built to improve power quality, drop
Low cost
The embodiment of the present invention additionally provides a kind of preferred embodiment, with reference to the preferred embodiment to of the invention real
The technical solution for applying example illustrates.
According to current research both domestic and external, the actual capacity of power battery fail to the 70%~80% of nominal capacity after just
It should stop on electric vehicle and use, these batteries, which are directly eliminated, will cause the serious wasting of resources and environment dirty.This hair
The technical solution of bright embodiment is that the unit battery module of a part of better performances can be chosen to recombination and be used as storage by detection
Energy battery, the echelon for forming power battery utilize.For the echelon Utilizing question of power battery, carry out one both at home and abroad
It is a little to study to verify the feasibility that echelon utilizes, and analyze power battery degradation and be used as the condition of energy-storage battery and apply model
It encloses.Echelon is utilized and is had the advantage that：1) since the load fluctuation at fast charge station is larger, load fluctuation can be stabilized using energy-storage battery；
2) energy-storage battery is superseded Vehicular dynamic battery, and price is very low.In this case, realize power battery echelon utilize with
Quick charge station integrates, and has important application value to the construction of the following electric vehicle charging infrastructure.
In the case of considering power battery cascade utilization, using quick charge station energy-storage system as goal in research, system is established
Capacity Optimal Allocation Model.Using Huairou District, Beijing City public transport quick charge station as example, cascade utilization energy-storage system construction is analyzed
O＆M cost etc. economic indicator carries out analysis calculating to the economic model of the energy-storage system.
(1) stored energy capacitance Optimized model
The purpose of power system capacity optimization is to make system synthesis sheet minimum under the premise of meeting system performance index,
The totle drilling cost of system includes initial outlay cost, system operation maintenance cost and from power grid power purchase expense.
System initial outlay cost charging station build a station cost, echelon battery purchase, installation cost, and system it is main just
Beginning cost of investment is
In formula, CcfFor the initial outlay cost of charging station, unit is " member/kW ", PcFor the distribution capacity of charging station； Cef1
For the initial outlay cost of second-hand energy-storage units, Cef2For the cost of volume test and recombination, unit is " member/kWh ", Ess1For
The capacity of battery energy storage unit；S is recombination fraction, and m is the length of service of system；r0For allowance for depreciation.
Charging station, energy-storage system year operation expense be
f2=fbr1(CcfPc+Cef1Ess1) (3)
In formula, fbr1For year operation and maintenance coefficient.
Daily basic capacity is taken
f3=(32/30) Pc (4)
It is from power grid purchases strategies (one day)
f4=∫1 24Cb(t)*Pb(t)dt (5)
In formula, Cb(t) it is the Spot Price of power distribution network, unit is " member/kWh ", Pb(t) it is the power absorbed from power grid.
Then the optimization object function of system synthesis sheet is：(as unit of day)
Constraints is same as above.
By investigation, the parameter for choosing quick charge station and echelon battery is as shown in table 1.
The parameter of 1 quick charge station of table and echelon battery
| Systematic parameter | Numerical value |
| Transformer price/(member/kVA) | 220 |
| Transformer life/year | 20 |
| Echelon battery price/(member/kWh) | 300 |
| Recombination fraction s | 0.8 |
| The energy-storage battery service life/year | 4 |
| Volume test and restructuring costs member/kWh | 60 |
| Transformer station high-voltage side bus maintenance factor | 0.01 |
| Echelon battery operation maintenance factor | 0.02 |
| Carrying capacity SOC | 0.1-0.8 |
| Discount rate r0 | 0.06 |
Above-mentioned parameter substitution formula 5, which is acquired object function, is
(2) optimum results
Object function, that is, formula (7) is solved with Lingo softwares, obtains the configuration scheme of power system capacity such as
Shown in table 2.
The optimum results of 2 power system capacity of table
| Limiting peak power/kW | 1000 | 900 | 800 | 700 | 600 | 500 |
| Peak power/kW | 947 | 858 | 774 | 674 | 514 | 454 |
| Total cost/member | 5042 | 4968 | 4871 | 4776 | 4570 | 4527 |
| Stored energy capacitance/kWh | 188 | 276 | 361 | 461 | 630 | 681 |
It can be seen that by table 2 after echelon energy-storage battery is added, not only increase economic benefit, and the maximum value of load
43.8% is reduced, stabilizes the effect of load fluctuation clearly.
It can be seen that by said program, energy-storage system is added in quick charge station can not only improve economy, and drop
The low maximum value of load；With flourishing for electric vehicle, electric vehicle quantity increases considerably, corresponding charging station
Distribution capacity also need to expand, at present as Beijing this big city dilatation cost consumption is huge, direct dilatation economy is paid no attention to
Think, cost can then be greatly lowered according to energy-storage system, increase economic efficiency；If superseded Vehicular dynamic battery is directly useless
Prodigious waste and pollution can be caused by abandoning, and echelon utilizes and can be very good to solve the problems, such as this, has not only saved cost but also has stabilized
Load fluctuation.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is executed in computer system, although also, logical order is shown in flow charts, and it in some cases, can be with not
The sequence being same as herein executes shown or described step.
An embodiment of the present invention provides a kind of charging station distribution capacity determining device, which can be used for executing the present invention
The charging station distribution capacity of embodiment determines method.
Fig. 2 is the schematic diagram of charging station distribution capacity determining device according to the ... of the embodiment of the present invention, as shown in Fig. 2, the dress
Set including：
Determination unit 10, for determining the battery module for meeting preset condition in unit battery module；
Recomposition unit 20 obtains weight for recombinating the battery module for meeting preset condition in unit battery module
Battery module after group；
Access unit 30, original energy-storage battery group for the battery module access charging station after recombinating.
Optionally, access unit 30 includes：Determining module, for determining object function；Optimization module, for passing through mesh
Scalar functions optimize the stored energy capacitance of charging station energy-storage system, obtain optimum results；Determining module, for according to optimization
As a result the connection type of the quantity of the battery module after the recombination of original energy-storage battery group of access charging station is determined.
Optionally, which further includes：Computing unit, the original for the battery module access charging station after it will recombinate
After having energy-storage battery group, the year operation expense of energy-storage system is calculated；First optimization unit, for year operation and maintenance
Cost optimizes, and obtains optimum results；Second optimization unit, is used for according to optimum results to the battery after the recombination of access
Module optimizes, and obtains the access way for keeping year operation expense minimum.
Optionally, computing unit 30 is used for：Calculate the limiting peak power of energy-storage system；Calculate the peak value of energy-storage system
Power；Calculate the total cost of energy-storage system；Calculate the stored energy capacitance of energy-storage system.
The charging station distribution capacity determining device includes processor and memory, above-mentioned determination unit, recomposition unit etc.
It is used as program unit storage in memory, above procedure unit stored in memory is executed by processor to realize
Corresponding function.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be arranged one
Or more, improve charging station expansion method flexibility by adjusting kernel parameter.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, if read-only memory (ROM) or flash memory (flash RAM), memory include at least one deposit
Store up chip.
An embodiment of the present invention provides a kind of storage mediums, are stored thereon with program, real when which is executed by processor
The existing charging station distribution capacity determines method.
An embodiment of the present invention provides a kind of processor, the processor is for running program, wherein described program is transported
The charging station distribution capacity is executed when row determines method.
An embodiment of the present invention provides a kind of equipment, equipment include processor, memory and storage on a memory and can
The program run on a processor, processor realize following steps when executing program：It determines to meet in unit battery module and preset
The battery module of condition；The battery module for meeting preset condition in unit battery module is recombinated, the electricity after being recombinated
Pond module；Battery module after the recombination is accessed to original energy-storage battery group of charging station.Equipment herein can be clothes
Business device, PC, PAD, mobile phone etc..
Present invention also provides a kind of computer program products, when being executed on data processing equipment, are adapted for carrying out just
The program of beginningization there are as below methods step：Determine the battery module for meeting preset condition in unit battery module；By single battery
The battery module for meeting preset condition in module is recombinated, the battery module after being recombinated；By the battery after the recombination
Module accesses original energy-storage battery group of charging station.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the application
The form of embodiment.Moreover, the application can be used in one or more wherein include computer usable program code calculating
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to method, the flow of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions each in flowchart and/or the block diagram
The combination of flow and/or box in flow and/or box and flowchart and/or the block diagram.These computers can be provided
Processor of the program instruction to all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices
To generate a machine so that the instruction executed by computer or the processor of other programmable data processing devices generates
For realizing the function of being specified in one flow of flow chart or multiple flows and/or one box of block diagram or multiple boxes
Device.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction stored in the computer readable memory, which generates, includes
The manufacture of command device, the command device are realized in one flow of flow chart or multiple flows and/or one box of block diagram
Or the function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer
Or the instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or box
The step of function of being specified in one box of figure or multiple boxes.
In a typical configuration, computing device include one or more processors (CPU), input/output interface,
Network interface and memory.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable Jie
The example of matter.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology realizes information storage.Information can be computer-readable instruction, data structure, the module of program or other data.
The example of the storage medium of computer include, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM),
Dynamic random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electricity can
Erasable programmable read-only memory (EPROM) (EEPROM), fast flash memory bank or other memory techniques, read-only disc read only memory (CD-ROM) (CD-
ROM), digital versatile disc (DVD) or other optical storages, magnetic tape cassette, tape magnetic disk storage or other magnetism are deposited
Equipment or any other non-transmission medium are stored up, can be used for storage and can be accessed by a computing device information.According to boundary herein
Fixed, computer-readable medium does not include temporary computer readable media (transitory media), such as the data-signal of modulation and
Carrier wave.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
Including so that process, method, commodity or equipment including a series of elements include not only those elements, but also wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element
Process, method, there is also other identical elements in commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
It these are only embodiments herein, be not intended to limit this application.To those skilled in the art,
The application can have various modifications and variations.It is all within spirit herein and principle made by it is any modification, equally replace
It changes, improve, should be included within the scope of claims hereof.
Claims (10)
1. a kind of charging station distribution capacity determines method, which is characterized in that including：
Determine the battery module for meeting preset condition in unit battery module；
The battery module for meeting preset condition in unit battery module is recombinated, the battery module after being recombinated；
Battery module after the recombination is accessed to original energy-storage battery group of charging station.
2. according to the method described in claim 1, it is characterized in that, the battery module after the recombination to be accessed to the original of charging station
There is the energy-storage battery group to include：
Determine object function；
The stored energy capacitance of charging station energy-storage system is optimized by the object function, obtains optimum results；
The quantity of the battery module after the recombination of original energy-storage battery group of access charging station is determined according to the optimum results
Connection type.
3. according to the method described in claim 2, it is characterized in that, the battery module after the recombination is accessed charging station
After original energy-storage battery group, the method further includes：
Calculate the year operation expense of energy-storage system；
The year operation expense is optimized, optimum results are obtained；
The battery module after the recombination of access is optimized according to the optimum results, obtains making the year operation expense
Minimum access way.
4. according to the method described in claim 1, it is characterized in that, the year operation expense for calculating energy-storage system includes：
Calculate the limiting peak power of the energy-storage system；
Calculate the peak power of the energy-storage system；
Calculate the total cost of the energy-storage system；
Calculate the stored energy capacitance of the energy-storage system.
5. a kind of charging station distribution capacity determining device, which is characterized in that including：
Determination unit, for determining the battery module for meeting preset condition in unit battery module；
Recomposition unit, for recombinating the battery module for meeting preset condition in unit battery module, after being recombinated
Battery module；
Access unit, original energy-storage battery group for the battery module after the recombination to be accessed to charging station.
6. device according to claim 5, which is characterized in that the access unit includes：
Determining module, for determining object function；
Optimization module is optimized for being optimized to the stored energy capacitance of charging station energy-storage system by the object function
As a result；
Determining module, the battery after recombination for determining the original energy-storage battery group for accessing charging station according to the optimum results
The connection type of the quantity of module.
7. device according to claim 5, which is characterized in that described device further includes：
Computing unit, for after the battery module after the recombination is accessed original energy-storage battery group of charging station, calculating
The year operation expense of energy-storage system；
First optimization unit obtains optimum results for being optimized to the year operation expense；
Second optimization unit is made for being optimized to the battery module after the recombination of access according to the optimum results
The minimum access way of the year operation expense.
8. device according to claim 7, which is characterized in that the computing unit is used for：
Calculate the limiting peak power of the energy-storage system；
Calculate the peak power of the energy-storage system；
Calculate the total cost of the energy-storage system；
Calculate the stored energy capacitance of the energy-storage system.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program
When control the storage medium where equipment perform claim require the charging station distribution capacity described in any one of 1 to 4 to determine
Method.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Profit requires the charging station distribution capacity described in any one of 1 to 4 to determine method.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111209633A (en) * | 2020-01-09 | 2020-05-29 | 重庆大学 | Evaluation and parameter optimization method for plug-in hybrid electric vehicle transmission system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106299511A (en) * | 2016-08-02 | 2017-01-04 | 万马联合新能源投资有限公司 | Electric automobile charging station energy storage capacity optimization method |
| CN107046293A (en) * | 2016-11-21 | 2017-08-15 | 中国能源建设集团江苏省电力设计院有限公司 | The public transport charging station prefabricated cabin formula energy-storage system and method utilized based on battery echelon |
-
2017
- 2017-12-29 CN CN201711484826.XA patent/CN108336776A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106299511A (en) * | 2016-08-02 | 2017-01-04 | 万马联合新能源投资有限公司 | Electric automobile charging station energy storage capacity optimization method |
| CN107046293A (en) * | 2016-11-21 | 2017-08-15 | 中国能源建设集团江苏省电力设计院有限公司 | The public transport charging station prefabricated cabin formula energy-storage system and method utilized based on battery echelon |
Non-Patent Citations (1)
| Title |
|---|
| 李芹芹，等: ""快速充电站储能系统容量配置的研究"", 《电气应用》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111209633A (en) * | 2020-01-09 | 2020-05-29 | 重庆大学 | Evaluation and parameter optimization method for plug-in hybrid electric vehicle transmission system |
| CN111209633B (en) * | 2020-01-09 | 2024-04-09 | 重庆大学 | Evaluation and parameter optimization method for power transmission system of plug-in hybrid electric vehicle |
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