CN110276135A - A kind of active volume in grid-connected parking lot determines method, apparatus and calculates equipment - Google Patents
A kind of active volume in grid-connected parking lot determines method, apparatus and calculates equipment Download PDFInfo
- Publication number
- CN110276135A CN110276135A CN201910554073.8A CN201910554073A CN110276135A CN 110276135 A CN110276135 A CN 110276135A CN 201910554073 A CN201910554073 A CN 201910554073A CN 110276135 A CN110276135 A CN 110276135A
- Authority
- CN
- China
- Prior art keywords
- reliability index
- grid
- parking lot
- distribution system
- intelligent distribution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The embodiment of the invention discloses a kind of active volumes in grid-connected parking lot to determine method, it include: the second reliability index of the first reliability index and the second intelligent distribution system for comparing the first intelligent distribution system, in the case where the first reliability index is not less than the second reliability index, the third reliability index of third intelligent distribution system is calculated, and determines the active volume in grid-connected parking lot based on the second reliability index and third reliability index.The embodiment of the invention also discloses the active volume determining device in corresponding grid-connected parking lot, calculate equipment and storage medium.
Description
Technical field
The present invention relates to field of power system, in particular to a kind of active volume in grid-connected parking lot determines method, apparatus
And calculate equipment.
Background technique
With the fast development of the electric car by being driven by electricity, the energy demand problem of plug-in electromobile (PEV)
It receives significant attention.
Normally, can be met using the charging infrastructure of similar grid-connected parking lot (GPL).GPL is normally at people
The dense area of mouth, and it is equipped with distributed charge point and low-power consumption charge/discharge facility.By these facilities, PEV user is not
Required Vehicular charging service can be only obtained, electric energy can also be provided to power grid by electric discharge PEV battery.In fact, by
It is above 95% in most of domestic automobiles daily down time, GPL's equipped with hundreds of integrated electric electrical automobiles
Total memory capacity can be used as controllable load (i.e. power grid is to vehicle operating modes, G2V) or power grid replacing over the ground during charging
For distributed energy (i.e. vehicle to operation of power networks mode, V2G).Exactly because having such bi-directional capability, GPL is
Following energy resource system provides wide spectral range, can efficiently use in the process of running.Therefore to the capacity of GPL into
Row assessment is particularly significant.
Potential benefit research about GPL in electric system now has had very sufficient place mat work.However,
In these researchs, few people are dedicated to exploring influence of the GPL to system reliability.In practical applications, band two-way charger
GPL can be used as backup power source, and by extracting energy from PEV battery, in case of emergency provide capacity branch for power grid
It holds.This can reduce the risk of load loss, and significantly improve the power supply reliability of intelligent distribution system (SDS).
In consideration of it, GPL reliability assessment problem is increasingly interested by researchers.The invention proposes a kind of new and
The active volume (CV) in net parking lot determines scheme, under the background of intelligent distribution system, passes through the available appearance in grid-connected parking lot
Measure the reliability benefit approximatively to estimate GPL.
Summary of the invention
For this purpose, the embodiment of the invention provides a kind of active volumes in grid-connected parking lot to determine that method, apparatus and calculating are set
It is standby, with try hard to solve the problems, such as or at least alleviate above it is existing at least one.
According to an aspect of an embodiment of the present invention, the active volume for providing a kind of grid-connected parking lot determines method, institute
It states grid-connected parking lot to be suitable for parking plug-in electromobile, and meets the charge-discharge power demand of the plug-in electromobile, it is described
Method includes: to compare the first reliability index of the first intelligent distribution system and the second reliability of the second intelligent distribution system refers to
Mark, first intelligent distribution system does not include grid-connected parking lot, and second intelligent distribution system passes through in first intelligence
It adds the grid-connected parking lot in energy distribution system to obtain, wherein second reliability index calculates according to the following steps
To: the user behavior characteristics of the plug-in electromobile are obtained, the user behavior characteristics include the plug-in electronic vapour
The vehicle charge level required when the arrival time in the grid-connected parking lot and down time, leaving the grid-connected parking lot, with
And V2G program availability；Based on the user behavior characteristics, the charging and discharging time of the plug-in electromobile is determined；
To each moment in emulation year, the available generated energy in grid-connected parking lot is determined；Determine that the total of the second intelligent distribution system can
With generated energy and total capacity requirement；Using tidal current analysis method, judge whether the second intelligent distribution system violates constraint；Based on sentencing
Break as a result, calculating second intelligent distribution system in the reliability index at the moment；According to the reliability index at multiple moment,
Calculate the annual reliability index in the emulation year；It is reliable that annual reliability index based on each emulation year calculates described second
Property index；In the case where the first reliability index is not less than the second reliability index, the of third intelligent distribution system is calculated
Three reliability indexs, and determine based on the second reliability index and third reliability index the available appearance in the grid-connected parking lot
Amount, the third intelligent distribution system are obtained by adding generating set in first intelligent distribution system.
According to another aspect of an embodiment of the present invention, a kind of active volume determining device in grid-connected parking lot, institute are provided
It states grid-connected parking lot to be suitable for parking plug-in electromobile, and meets the charge-discharge power demand of the plug-in electromobile, it is described
Device includes: Indexes Comparison unit, is adapted to compare the first reliability index and the second intelligent power distribution of the first intelligent distribution system
Second reliability index of system, first intelligent distribution system do not include grid-connected parking lot, second intelligent power distribution system
System is obtained by adding the grid-connected parking lot in first intelligent distribution system, wherein the Indexes Comparison unit also wraps
Indicator calculating unit is included, the indicator calculating unit is suitable for that second reliability index is calculated according to the following steps: obtaining
The user behavior characteristics of the plug-in electromobile are taken, the user behavior characteristics include the plug-in electromobile in institute
It states the arrival time in grid-connected parking lot and down time, leaves charge level and V2G journey required when the grid-connected parking lot
Sequence availability；Based on the user behavior characteristics, the charging and discharging time of the plug-in electromobile is determined；To emulation year
Each moment, determine the available generated energy in grid-connected parking lot；Determine total available generated energy of second intelligent distribution system
And total capacity requirement；Using tidal current analysis method, judge whether the second intelligent distribution system violates constraint；Based on judging result,
Second intelligent distribution system is calculated in the reliability index at the moment；According to the reliability index at multiple moment, institute is calculated
State the annual reliability index in emulation year；Annual reliability index based on each emulation year calculates second reliability and refers to
Mark；Capacity determination unit is suitable for calculating third intelligence in the case where the first reliability index is not less than the second reliability index
The third reliability index of distribution system, and determine based on the second reliability index and third reliability index described grid-connected stop
The active volume in parking lot, the third intelligent distribution system are obtained by adding generating set in first intelligent distribution system
It arrives.
According to another aspect of an embodiment of the present invention, a kind of calculating equipment is provided, comprising: one or more processors；
And memory；One or more programs, wherein one or more programs are stored in memory and are configured as by one or more
A processor executes, and one or more programs include the active volume for executing grid-connected parking lot according to an embodiment of the present invention
Determine the instruction of any one of method.
According to an embodiment of the present invention there are one aspects, and the computer for providing a kind of one or more programs of storage can
Storage medium is read, one or more programs include instruction, and instruction executes so that calculating equipment according to this when calculating equipment executes
The active volume in the grid-connected parking lot of inventive embodiments either determines in method method.
The active volume in grid-connected parking lot according to an embodiment of the present invention determines that scheme can by determine grid-connected parking lot
With capacity, can objectively it estimate and contribution of the more grid-connected parking lot to intelligent distribution system capacity, as in market
Conventional power generation resource.Wherein, it is contemplated that the randomness of the user behavior of plug-in electromobile and its potential with external effect
Dependence.On this basis, reliability index is calculated using sequential Monte Carlo emulation mode, can fully indicates grid-connected and stops
The characteristic in parking lot.
Detailed description of the invention
To the accomplishment of the foregoing and related purposes, certain illustrative sides are described herein in conjunction with following description and drawings
Face, these aspects indicate the various modes that can practice principles disclosed herein, and all aspects and its equivalent aspect
It is intended to fall in the range of theme claimed.Read following detailed description in conjunction with the accompanying drawings, the disclosure it is above-mentioned
And other purposes, feature and advantage will be apparent.Throughout the disclosure, identical appended drawing reference generally refers to identical
Component or element.
Fig. 1 shows the schematic diagram according to an embodiment of the invention for calculating equipment 100；
Fig. 2 shows the processes that the active volume in grid-connected parking lot according to an embodiment of the invention determines method 200
Figure；And
Fig. 3 shows the structure of the active volume determining device 300 in grid-connected parking lot according to an embodiment of the invention
Block diagram.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
Fig. 1 shows the schematic diagram according to an embodiment of the invention for calculating equipment 100.As shown in Figure 1, basic
In configuration 107, calculates equipment 100 and typically comprise system storage 106 and one or more processor 104.Memory is total
Line 108 can be used for the communication between processor 104 and system storage 106.
Depending on desired configuration, processor 104 can be any kind of processor, including but not limited to: micro process
Device (μ P), microcontroller (μ C), digital information processor (DSP) or any combination of them.Processor 104 may include all
Cache, processor core such as one or more rank of on-chip cache 110 and second level cache 112 etc
114 and register 116.Exemplary processor core 114 may include arithmetic and logical unit (ALU), floating-point unit (FPU),
Digital signal processing core (DSP core) or any combination of them.Exemplary Memory Controller 118 can be with processor
104 are used together, or in some implementations, and Memory Controller 118 can be an interior section of processor 104.
Depending on desired configuration, system storage 106 can be any type of memory, including but not limited to: easily
The property lost memory (RAM), nonvolatile memory (ROM, flash memory etc.) or any combination of them.System storage
Device 106 may include operating system 120, one or more is using 122 and program data 124.In some embodiments,
It may be arranged to be executed instruction by one or more processors 104 using program data 124 on an operating system using 122.
Calculating equipment 100 can also include facilitating from various interface equipments (for example, output equipment 142, Peripheral Interface
144 and communication equipment 146) to basic configuration 102 via the communication of bus/interface controller 130 interface bus 140.Example
Output equipment 142 include graphics processing unit 148 and audio treatment unit 150.They can be configured as facilitate via
The various external equipments of one or more port A/V 152 or HDMI interface and such as display or loudspeaker etc into
Row communication.Example Peripheral Interface 144 may include serial interface controller 154 and parallel interface controller 156, they can be by
It is configured to facilitate via one or more port I/O 158 and such as input equipment (for example, keyboard, mouse, pen, voice are defeated
Enter equipment, touch input device, remote input apparatus) or other peripheral hardwares (such as printer, scanner etc.) etc outside
Equipment is communicated.Exemplary communication equipment 146 may include network controller 160, can be arranged to convenient for via one
Other calculating communications of equipment 162 by network communication link of a or multiple communication port 164 and one or more.
Network communication link can be an example of communication media.Communication media can be usually presented as in such as carrier wave
Or computer readable instructions, data structure, program module in the modulated data signal of other transmission mechanisms etc, and can
To include any information delivery media." modulated data signal " can be such signal, one in its data set or
It is multiple or it change can the mode of encoded information in the signal carry out.As unrestricted example, communication media can
To include the wired medium of such as cable network or private line network etc, and it is such as sound, radio frequency (RF), microwave, infrared
(IR) the various wireless mediums or including other wireless mediums.Term computer-readable medium used herein may include depositing
Both storage media and communication media.
Calculating equipment 100 can be implemented as server, such as database server, apps server and WEB service
Device etc., also can be implemented as include desktop computer and notebook computer configuration personal computer.Certainly, equipment is calculated
100 also can be implemented as portable (or mobile) electronic equipment of small size.
In an embodiment according to the present invention, calculating equipment 100 at least may be implemented as the available appearance in grid-connected parking lot
Each component in determining device 300 is measured, and is configured as executing the active volume in grid-connected parking lot according to an embodiment of the present invention
Determine method 200.Wherein, it calculates in the application 122 of equipment 100 comprising executing grid-connected parking lot according to an embodiment of the present invention
Active volume determines a plurality of instruction of method 200, and the active volume that program data 124 can also store grid-connected parking lot determines
The configuration information etc. of device 300.
Fig. 2 shows the processes that the active volume in grid-connected parking lot according to an embodiment of the invention determines method 200
Figure.As shown in Fig. 2, the active volume in grid-connected parking lot determines that method 200 is suitable for determining dress in the active volume in grid-connected parking lot
It sets in 300 and executes, and start from step S210.
Wherein, the active volume in grid-connected parking lot refers to that plug-in electromobile is participating in V2G (Vehicle-to-
Grid the active volume in the grid-connected parking lot during).It is to be appreciated that grid-connected parking lot (Grid-connected
Parking lot, GPL) it is suitable for parking plug-in electromobile (Plug-in electric vehicle, PEV), and meet and insert
The charge-discharge power demand of electric-type electric car.Specifically, grid-connected parking lot can charge to plug-in electromobile, can also be with
Receive the electric discharge of plug-in electromobile.That is, grid-connected parking lot usually can be in grid-connected parking lot network operator (GPL
Operator, GPLO) coordinated control under realize that the bi-directional electric power between plug-in electromobile and power grid exchanges.Stop when grid-connected
When parking lot charges to plug-in electromobile, plug-in electromobile runs G2V (Grid-to-vehicle) mode.When
When grid-connected parking lot receives the electric discharge of plug-in electromobile, plug-in electromobile runs V2G (Vehicle-to-Grid) mould
Formula.
In step S210, the first reliability index of the first intelligent distribution system is calculated, the first intelligent distribution system is not
Including grid-connected parking lot.
Before the reliability index for calculating the first intelligent distribution system component, the first intelligent distribution system can be first generated
The state duration sequence of component to obtain the state duration sequence of the first intelligent distribution system, and determines the first intelligence
The available generated energy at energy distribution system each moment in state duration sequence.First intelligent distribution system component can wrap
Generator unit, transformer, bilateral charger etc. element are included, the present invention is without limitation.
In some embodiments, the available generated energy of generator unitAre as follows:
In formula,It is a binary variable, indicates the machine performance of generator unit when moment t.When generator unit is just
When working under the conditions of often,Otherwise,In addition,Indicate the hair that rated condition is in period t
The potential power of electric unit exports.
The available discharge capacity of transformer in moment tIt can indicate are as follows:
In formula,WithThe grid power of transformer and mechanical availability when respectively indicating moment t.
According to some embodiments of the present invention, the first intelligent power distribution can be calculated using sequential Monte Carlo emulation mode
First reliability index of system.
Specifically, sequential Monte Carlo emulation mode can be by the random process of simulation intelligent distribution system operation come real
The statistics of existing reliability index calculates.This calculating process is described below.
Emulation year n given first, and enable emulation starting year i=1.It is 1 year in time span, i.e., the item of 8760 hours
Under part, to intelligent distribution system component j (j=1,2 ..., m) in run and repair state duration taken out at random
Sample, to obtain the state alternation procedure of " operation-reparation-operation-reparation " in each component 1 year.
Operation and the repair process of each component are combined, the state for obtaining the intelligent distribution system with chronological order is held
Continuous time seriesTo the state duration sequence of systemEach of when
The system mode at quarter carries out analytical calculation, including Load flow calculation, optimal load curtailment etc..For example, carrying out Load flow calculation first to sentence
Whether disconnected system mode there is the case where operations such as node voltage out-of-limit, circuit overload constraint is breached, if operation constraint
It is breached, carries out optimal load curtailment calculating.
Then, the annual reliability index of 1 year intelligent distribution system is calculated as follows；
D(xij) indicate system mode xijDuration, f (xij) indicate using system mode as the system performance of independent variable
Measure function, IiIndicate 1 year annual reliability index.It should be pointed out that working as f (xij) when taking different measure functions, IiAlso
Represent different reliability indexs.
The desired value of reliability index computation year as follows, that is, the reliability index of distribution intelligence system
Coefficient of variation is calculated as follows:
Indicate the reliability index of distribution intelligence systemStandard deviation,Indicate the reliable of distribution intelligence system
Property indexDesired value.
Then, i=i+1 is enabled, if i > n or coefficient of variation β is less than termination condition, terminates to emulate, this is imitated
The reliability index really obtained is as end value；Otherwise it repeats using sequential Monte Carlo emulation mode come computational intelligence power distribution system
The reliability index of system.
The second reliability index of the second intelligent distribution system can also be calculated in step S220.Certainly, in step
Before S220, the second intelligent power distribution system can be obtained by adding grid-connected parking lot in above-mentioned first intelligent distribution system
System.
Likewise it is possible to calculate the second reliability of the second intelligent distribution system using sequential Monte Carlo emulation mode
Index.
Specifically, the user behavior characteristics of plug-in electromobile can be first obtained, user behavior characteristics may include
At least one of following characteristics: arrival time of the plug-in electromobile in grid-connected parking lotAnd down timePlug-in electromobile leaves charge level required when grid-connected parking lotAnd it is plug-in electronic
The V2G program availability of automobile
Then, it is based on the operation policy of user behavior characteristics and grid-connected parking lot network operator (GPLO), determines plug-in electricity
The charge and discharge time of electrical automobile.The operation policy of grid-connected parking lot network operator can be such that when plug-in electromobile PEV is reached
When grid-connected parking lot GPL, plug-in electromobile PEV will charge first, until the SOC of its battery reaches predetermined value, example
Such as 90%.Then, which will be from this qualified progress V2G operation, until its SOC is down to the SOC target of its owner requirement
(i.e. charge level).
Then, analogously with the first reliability index, grid-connected parking lot can be determined to each moment in emulation year
Can with generated energy, determine the total available generated energy and total capacity requirement of the second intelligent distribution system.For example, can be according to following public affairs
Formula determines total available generated energy of each the second intelligent distribution system of momentAnd total capacity requirement
In formula, PdgIndicate the available generated energy of generator unit (DG), PdtThe available generated energy of indication transformer, PagcIt indicates
The available generated energy in grid-connected parking lot, ΩDIndicate system bus set, PchIndicate the charge level of plug-in electromobile,
Whether it is related to the binary variable in grid-connected parking lot in t moment for instruction plug-in electromobile k',To indicate in moment t
The binary variable of the availability of bilateral charger k, ΩCPIndicate bilateral charger set, ΩEVIndicate plug-in electromobile
Set.Indicate the conventional load demand of system bus i in moment t,For a binary variable, it is used to indicate plug-in
Whether formula electric car k' is in charged state in t moment.
Result can pass through following formula determine:
Wherein,It is for specifying the binary system of plug-in electromobile k ' V2G program availability during moment t to become
Amount, PchAnd ηbcThe specified charge power and working efficiency of bilateral charger are respectively indicated,Exist for plug-in electromobile k '
The arrival time in grid-connected parking lot, Ke YicongMiddle stochastical sampling obtains.Indicate plug-in electronic vapour
The SOC of vehicle k ' reaches the time of threshold value, can be calculated according to following formula:
PchAnd ηbcThe specified charge power and working efficiency of bilateral charger are respectively indicated,It is GPLO for V2G
The threshold value SoC value of realization, to give (known priori) parameter.
Initial state-of-charge when being reached according to vehicle and its expection operating range in subsequent stroke determine plug-in
Charge requirement of the formula electric car k ' to grid-connected parking lot network operator
In formula,For the size (unit: kWh) of plug-in electromobile k ' battery,Table respectively
The initial SoC of plug-in electromobile k ' and SoC required when grid-connected parking lot (charge level) is left when showing arrival.Wherein
Then, using tidal current analysis method, judge whether the second intelligent distribution system violates constraint.And based on judgement knot
Fruit calculates the second intelligent distribution system in the reliability index at the moment.For example, by taking expected loss of energy (ENNS) as an example,
If not violating operation constraint, show system normal operation, do not provide electricity (ENN) at this moment is 0.If violating operation
Constraint, shows that system is in emergency rating, needs to carry out optimal load curtailment calculating, the electricity (ENN) that do not provide at this moment isWhereinIndicate that moment t internal bus i's is unsatisfactory for workload demand.
Then according to the reliability index at multiple moment, the annual reliability index in emulation year is calculated.Again based on each
The annual reliability index for emulating year calculates the second reliability index and coefficient of variation.Judge whether coefficient of variation meets termination item
Part.If conditions are not met, then repeating above-mentioned acquisition user behavior characteristics, the charging and discharging time of plug-in electromobile is determined,
The annual reliability index in computer sim- ulation year, and the step of calculating the second reliability index and coefficient of variation, until variance system
Number meets termination condition.Finally using the second reliability index when meeting termination condition as the second final reliability index.
In some embodiments, termination condition can be β≤0.05.
After obtaining the first reliability index and the second reliability index, the first reliability index and second can be compared
Reliability index.In the case that if the first reliability index is less than the second reliability index, it is believed that grid-connected parking lot
Active volume is 0.
If the first reliability index is not less than the second reliability index, equivalent fixed capacity or equivalent can choose
Normal capacity or effective bearing capacity as grid-connected parking lot active volume.
According to one embodiment of present invention, in the case where the first reliability index is not less than the second reliability index,
It, can be in step if selecting equivalent fixed capacity or equivalent normal capacity to measure the active volume in grid-connected parking lot
In rapid S230, the third reliability index of third intelligent distribution system is calculated, and reliable based on the second reliability index and third
Property index determines the active volume in grid-connected parking lot.It certainly, can be by the first intelligent power distribution system before step S230
Generating set is added in system obtains third intelligent distribution system.
Wherein, the process for calculating third reliability index is similar with the process of the first reliability index is calculated, herein not
It repeats again.
It specifically, can be based on the second reliability and third reliability index after obtaining third reliability index
Calculate convergence coefficient.Such as convergence coefficient α is calculated according to following formulaV-GPL:
αV-GPL=| IV-IGPL|/IGPL,
IVFor third reliability index, IGPLFor the second reliability index.
Judge convergence coefficient αV-GPLWhether the condition of convergence is met.In some embodiments, the condition of convergence can be αV-GPL<
ζ。
In convergence coefficient αV-GPLIn the case where being unsatisfactory for the condition of convergence, repeat to refer to based on the second reliability and third reliability
The capacity of mark adjustment generating set, calculates third reliability index, and the step of calculating convergence coefficient, until convergence coefficient is full
The sufficient condition of convergence.
Wherein, the capacity of generating set is determined based on the first parameter and the second parameter.It is sent out for example, being determined according to following formula
The capacity C of motor groupbm:
Cbm=(Cmax+Cmin)/2, CmaxIndicate the first parameter, CminIndicate the second parameter.Under initial situation, C is enabledmax=
Crat, Cmin=0, CratIt is optional positive value.
If convergence coefficient αV-GPLIt is unsatisfactory for the condition of convergence, based on the second reliability and the adjustment power generation of third reliability index
The process of the capacity of unit can be such that
Compare the second reliability index and third reliability index.Then it is based on the second reliability index and third reliability
The comparison result of index adjusts the first parameter or the second parameter according to the current capacities of generating set, accordingly to adjust hair
The capacity of motor group.
For example, adjusting the second parameter according to following formula if third reliability index is greater than the second reliability index
Cmin, so as to adjust the capacity C of generating setbm:
Cmin=Cbm。
If third reliability index is not more than the second reliability index, the first parameter C is adjusted according to following formulamax,
So as to adjust the capacity C of generating setbm:
Cmax=Cbm。
Finally, according to convergence coefficient αV-GPLThe capacity of generating set when meeting the condition of convergence, determine grid-connected parking lot can
Use capacity.It is, according to the capacity of generating set, determine generating set equivalent fixed capacity or equivalent normal capacity,
Using the active volume as grid-connected parking lot.For example, according to following formula determine generating set equivalent fixed capacity EFC or
Equivalent normal capacity ECC:
EFC/ECC=Cbm。
According to another embodiment of the invention, the case where the first reliability index is not less than the second reliability index
Under, if selecting effective bearing capacity to measure the active volume in grid-connected parking lot, the can be calculated in step S240
4th reliability index of four intelligent distribution systems, and it is grid-connected to determine based on the first reliability index and the 4th reliability index
The active volume in parking lot.It certainly, can be by adding dummy load in the second intelligent distribution system before step S240
Obtain the 4th intelligent distribution system.
Wherein, the process for calculating the 4th reliability index is similar with the process of the first reliability index is calculated, herein not
It repeats again.
It specifically, can be based on the first reliability and the 4th reliability index after obtaining the 4th reliability index
Calculate convergence coefficient.Such as convergence coefficient is calculated according to following formula
For the 4th reliability index, IbaseFor the first reliability index.
Judge convergence coefficientWhether the condition of convergence is met.In some embodiments, the condition of convergence can be
In convergence coefficientIn the case where being unsatisfactory for the condition of convergence, repeating can based on the first reliability index and the 4th
By the capacity of property index adjustment generating set, the 4th reliability index, and the step of calculating convergence coefficient are calculated, until convergence
Coefficient meets the condition of convergence.
Wherein, the capacity of dummy load is determined based on third parameter and the 4th parameter.For example, being determined according to following formula empty
The capacity D of quasi- loadvl:
Dvl=(Dmax+Dmin)/2, DmaxIndicate third parameter, DminIndicate the 4th parameter.Under initial situation, D is enabledmax=
Drat, Dmin=0, DratIt is optional positive value.
If convergence coefficientIt is unsatisfactory for the condition of convergence, is based on the first reliability index and the 4th reliability index tune
The process of the capacity of whole dummy load can be such that
Compare the first reliability index and the 4th reliability index.Then it is based on the first reliability index and the 4th reliability
The comparison result of index adjusts third parameter or the 4th parameter according to the current capacities of dummy load, accordingly to adjust void
The capacity of quasi- load.
For example, if the 4th reliability index adjusts the 4th parameter less than the first reliability index, according to following formula
Dmin, so as to adjust the capacity D of dummy loadvl:
Dmin=Dvl。
If the 4th reliability index is not less than the first reliability index, third parameter D is adjusted according to following formulamax,
So as to adjust the capacity D of dummy loadvl:
Dmax=Dvl。
Finally, according to convergence coefficientThe capacity of dummy load when meeting the condition of convergence, determine grid-connected parking lot can
Use capacity.It is, determine effective bearing capacity of dummy load according to the capacity of dummy load, using as grid-connected parking lot
Active volume.For example, determining effective bearing capacity ELCC of dummy load according to following formula:
ELCC=Dvl。
According to various embodiments of the present invention, (the first, second, third and fourth reliability refers to above-mentioned reliability index
Mark) may include at least one of following index: cutting load probability P LC, cutting load frequency EFLC, cutting load duration
EDLC, average cutting load duration ADLC, cutting load desired value ELC, system blackout index BPII, system cut down electricity index
BPECI, severity index S I and expected loss of energy EENS.Preferably, it can be weighed using expected loss of energy EENS
The reliability of amount system.
Fig. 3 shows the structure of the active volume determining device 300 in grid-connected parking lot according to an embodiment of the invention
Block diagram.As shown in figure 3, the active volume determining device 300 in grid-connected parking lot includes that Indexes Comparison unit 310 and capacity determine list
Member 320.
Indexes Comparison unit 310 is adapted to compare the first reliability index and the second intelligent power distribution of the first intelligent distribution system
Second reliability index of system, the first intelligent distribution system do not include grid-connected parking lot, the second intelligent distribution system by
Grid-connected parking lot is added in first intelligent distribution system to obtain.
Indexes Comparison unit 310 further includes indicator calculating unit 311, and indicator calculating unit 311 is suitable for according to the following steps
The second reliability index is calculated: obtaining the user behavior characteristics of plug-in electromobile, user behavior characteristics include plug-in
The formula electric car charging water required when the arrival time in the grid-connected parking lot and down time, leaving grid-connected parking lot
Flat and V2G program availability.Then user behavior characteristics are based on, determine the charging and discharging time of plug-in electromobile
(i.e. charge and discharge time).Then to each moment in emulation year, the available generated energy in grid-connected parking lot is determined；Determine the second intelligence
The total available generated energy and total capacity requirement of distribution system；Using tidal current analysis method, whether the second intelligent distribution system is judged
Violate constraint；Based on judging result, the second intelligent distribution system is calculated in the reliability index at the moment.Then according to it is multiple when
The reliability index at quarter calculates the annual reliability index in emulation year.Annual reliability finally based on each emulation year refers to
Mark calculates the second reliability index.
Capacity determination unit 320 is suitable for calculating in the case where the first reliability index is not less than the second reliability index
The third reliability index of third intelligent distribution system, and determined simultaneously based on the second reliability index and third reliability index
The active volume in parking lot is netted, third intelligent distribution system is obtained by adding generating set in the first intelligent distribution system.
Capacity determination unit 320 is further adapted in the case where the first reliability index is not less than the second reliability index, meter
The 4th reliability index of the 4th intelligent distribution system is calculated, and is determined based on the first reliability index and the 4th reliability index
The active volume in grid-connected parking lot, the 4th intelligent distribution system are obtained by adding dummy load in the second intelligent distribution system
It arrives.
Detailed processing logic and implementation process about each unit in the active volume determining device 300 in grid-connected parking lot can
No longer to go to live in the household of one's in-laws on getting married referring to the associated description for determining method 200 previously in conjunction with active volume of Fig. 1-Fig. 2 to grid-connected parking lot herein
It states.
In conclusion the active volume in grid-connected parking lot according to an embodiment of the present invention determines scheme by determining grid-connected stop
The active volume in parking lot, can objectively estimate and contribution of the more grid-connected parking lot to intelligent distribution system capacity, be made
For the conventional power generation resource in market.Wherein, it is contemplated that the randomness of the user behavior of plug-in electromobile and its with outside
The potential dependence of property.On this basis, reliability index is calculated using sequential Monte Carlo emulation mode, it can complete earth's surface
Show the characteristic in grid-connected parking lot.
It should be appreciated that in order to simplify the disclosure and help to understand one or more of the various inventive aspects, it is right above
In the description of exemplary embodiment of the present invention, each feature of the invention be grouped together into sometimes single embodiment, figure or
In person's descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. claimed hair
Bright requirement is than feature more features expressly recited in each claim.More precisely, as the following claims
As book reflects, inventive aspect is all features less than single embodiment disclosed above.Therefore, it then follows specific real
Thus the claims for applying mode are expressly incorporated in the specific embodiment, wherein each claim itself is used as this hair
Bright separate embodiments.
The present invention may also include: A8, method as described in a5, wherein the capacity of the generating set is joined based on third
Several and the 4th parameter determines, the step of the capacity of the dummy load is adjusted based on the first reliability index and the 4th reliability index
It suddenly include: to compare the first reliability index and the 4th reliability index；Based on comparative result, based on the current of the dummy load
Capacity modifies the third parameter or the 4th parameter, accordingly to adjust the capacity of the dummy load.A9, such as A3 institute
The method stated, wherein according to the capacity of generating set described when meeting the condition of convergence, determine the available appearance in the grid-connected parking lot
The step of amount includes: the equivalent fixed capacity or equivalent normal that the generating set is determined according to the capacity of the generating set
Capacity is advised, using the active volume as the grid-connected parking lot.A10, method as described in a5, wherein restrain item according to meeting
The capacity of dummy load when part, the step of determining the active volume in the grid-connected parking lot include: according to the virtual negative
The capacity of load determines effective bearing capacity of the dummy load, using the active volume as the grid-connected parking lot.A11, such as
Method described in A1, wherein the step of annual reliability index based on each emulation year calculates second reliability index
Further include: the annual reliability index based on each emulation year calculates coefficient of variation；Judge whether the coefficient of variation meets end
Only condition；If conditions are not met, repeating above-mentioned acquisition user behavior characteristics, the charging and discharging of the plug-in electromobile are determined
Time, the annual reliability index in computer sim- ulation year, and the step of calculating the second reliability index and coefficient of variation, until side
Poor coefficient meets termination condition；Using the second reliability index when meeting termination condition as the second final reliability index.
A12, method as described in a1, wherein further include: generate the state duration sequence of the first intelligent distribution system component
Column；The available generated energy at each moment that determines first intelligent distribution system in state duration sequence.A13, such as A1-
Method described in any one of 12, wherein the first reliability index, are calculated using sequential sampling Monte Carlo simulation method
Two reliability indexs, third reliability index and the 4th reliability index.A14, the method as described in any one of A1-12,
Wherein, the reliability index includes at least one of the following: cutting load probability P LC, cutting load frequency EFLC, cutting load are held
Continuous time EDLC, average cutting load duration ADLC, cutting load desired value ELC, system blackout index BPII, system cut down electricity
Figureofmerit BPECI, severity index S I and expected loss of energy EENS.
Those skilled in the art should understand that the module of the equipment in example disclosed herein or unit or groups
Part can be arranged in equipment as depicted in this embodiment, or alternatively can be positioned at and the equipment in the example
In different one or more equipment.Module in aforementioned exemplary can be combined into a module or furthermore be segmented into multiple
Submodule.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment
Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any
Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed
All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power
Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
Meaning one of can in any combination mode come using.
In addition, be described as herein can be by the processor of computer system or by executing by some in the embodiment
The combination of method or method element that other devices of the function are implemented.Therefore, have for implementing the method or method
The processor of the necessary instruction of element forms the device for implementing this method or method element.In addition, Installation practice
Element described in this is the example of following device: the device be used for implement as in order to implement the purpose of the invention element performed by
Function.
As used in this, unless specifically stated, come using ordinal number " first ", " second ", " third " etc.
Description plain objects, which are merely representative of, is related to the different instances of similar object, and is not intended to imply that the object being described in this way must
Must have the time it is upper, spatially, sequence aspect or given sequence in any other manner.
Although the embodiment according to limited quantity describes the present invention, above description, the art are benefited from
It is interior it is clear for the skilled person that in the scope of the present invention thus described, it can be envisaged that other embodiments.Additionally, it should be noted that
Language used in this specification primarily to readable and introduction purpose and select, rather than in order to explain or limit
Determine subject of the present invention and selects.Therefore, without departing from the scope and spirit of the appended claims, for this
Many modifications and changes are obvious for the those of ordinary skill of technical field.For the scope of the present invention, to this
Invent done disclosure be it is illustrative and not restrictive, it is intended that the scope of the present invention be defined by the claims appended hereto.
Claims (10)
1. a kind of active volume in grid-connected parking lot determines method, the grid-connected parking lot is suitable for parking plug-in electromobile,
And meet the charge-discharge power demand of the plug-in electromobile, which comprises
Compare the first reliability index of the first intelligent distribution system and the second reliability index of the second intelligent distribution system, institute
Stating the first intelligent distribution system not includes grid-connected parking lot, and second intelligent distribution system passes through in first intelligent power distribution
The grid-connected parking lot is added in system to obtain, wherein
Second reliability index is calculated according to the following steps:
The user behavior characteristics of the plug-in electromobile are obtained, the user behavior characteristics include the plug-in electronic vapour
The vehicle charge level required when the arrival time in the grid-connected parking lot and down time, leaving the grid-connected parking lot, with
And V2G program availability；
Based on the user behavior characteristics, the charging and discharging time of the plug-in electromobile is determined；
To each moment in emulation year, the available generated energy in grid-connected parking lot is determined；Determine second intelligent distribution system
Always available generated energy and total capacity requirement；Using tidal current analysis method, judge whether the second intelligent distribution system violates constraint；Base
In judging result, second intelligent distribution system is calculated in the reliability index at the moment；
According to the reliability index at multiple moment, the annual reliability index in the emulation year is calculated；
Annual reliability index based on each emulation year calculates second reliability index；
In the case where the first reliability index is not less than the second reliability index, the third for calculating third intelligent distribution system can
By property index, and determine based on the second reliability index and third reliability index the active volume in the grid-connected parking lot,
The third intelligent distribution system is obtained by adding generating set in first intelligent distribution system.
2. the method for claim 1, wherein further include:
In the case where the first reliability index is not less than the second reliability index, calculate the 4th intelligent distribution system the 4th can
By property index, and determine based on the first reliability index and the 4th reliability index the active volume in the grid-connected parking lot,
4th intelligent distribution system is obtained by adding dummy load in second intelligent distribution system.
3. the method for claim 1, wherein being determined based on the second reliability index and third reliability index described
The step of active volume in grid-connected parking lot includes:
Convergence coefficient is calculated based on the second reliability and third reliability index；
Judge whether convergence coefficient meets the condition of convergence；
In the case where convergence coefficient is unsatisfactory for the condition of convergence, repeat to be based on the second reliability index and third reliability index tune
The capacity of the whole generating set calculates third reliability index, and the step of calculating convergence coefficient, until convergence coefficient is full
The sufficient condition of convergence；
According to the capacity of generating set described when meeting the condition of convergence, the active volume in the grid-connected parking lot is determined.
4. method as claimed in claim 3, wherein based on the second reliability index and third reliability index according to following public affairs
Convergence coefficient α is calculated in formulaV-GPL:
αV-GPL=| IV-IGPL|/IGPL, wherein IVFor third reliability index, IGPLFor the second reliability index.
5. method according to claim 2, wherein determined based on the first reliability index and the 4th reliability index described
The step of active volume in grid-connected parking lot includes:
Convergence coefficient is calculated based on the first reliability and the 4th reliability index；
Judge whether convergence coefficient meets the condition of convergence；
In the case where convergence coefficient is unsatisfactory for the condition of convergence, repeat to be based on the first reliability index and the 4th reliability index tune
The capacity of the whole dummy load calculates the 4th reliability index, and the step of calculating convergence coefficient, until convergence coefficient is full
The sufficient condition of convergence；
According to the capacity of dummy load described when meeting the condition of convergence, the active volume in the grid-connected parking lot is determined.
6. method as claimed in claim 5, wherein based on the first reliability index and the 4th reliability index according to following public affairs
Convergence coefficient is calculated in formula
WhereinFor the 4th reliability index, IbaseFor the first reliability index.
7. method as claimed in claim 3, wherein the capacity of the generating set is based on the first parameter and the second parameter is true
Fixed, the step of adjusting the capacity of the generating set based on the second reliability index and third reliability index, includes:
Compare the second reliability index and third reliability index；
Based on comparative result, first parameter or second parameter are adjusted according to the current capacities of the generating set,
Accordingly to adjust the capacity of the generating set.
8. a kind of active volume determining device in grid-connected parking lot, the grid-connected parking lot is suitable for parking plug-in electromobile,
And meeting the charge-discharge power demand of the plug-in electromobile, described device includes:
Indexes Comparison unit is adapted to compare the first reliability index and second intelligent distribution system of the first intelligent distribution system
Second reliability index, first intelligent distribution system do not include grid-connected parking lot, and second intelligent distribution system passes through
It adds the grid-connected parking lot in first intelligent distribution system to obtain, wherein the Indexes Comparison unit further includes index
Computing unit,
The indicator calculating unit is suitable for that second reliability index is calculated according to the following steps:
The user behavior characteristics of the plug-in electromobile are obtained, the user behavior characteristics include the plug-in electronic vapour
The vehicle charge level required when the arrival time in the grid-connected parking lot and down time, leaving the grid-connected parking lot, with
And V2G program availability；
Based on the user behavior characteristics, the charging and discharging time of the plug-in electromobile is determined；
To each moment in emulation year, the available generated energy in grid-connected parking lot is determined；Determine second intelligent distribution system
Always available generated energy and total capacity requirement；Using tidal current analysis method, judge whether the second intelligent distribution system violates constraint；Base
In judging result, second intelligent distribution system is calculated in the reliability index at the moment；
According to the reliability index at multiple moment, the annual reliability index in the emulation year is calculated；
Annual reliability index based on each emulation year calculates second reliability index；
Capacity determination unit is suitable for calculating third intelligence in the case where the first reliability index is not less than the second reliability index
Can distribution system third reliability index, and determined based on the second reliability index and third reliability index described grid-connected
The active volume in parking lot, the third intelligent distribution system is by adding generating set in first intelligent distribution system
It obtains.
9. a kind of calculating equipment, comprising:
One or more processors；With
Memory；
One or more programs, wherein one or more of programs are stored in the memory and are configured as by described one
A or multiple processors execute, and one or more of programs include for executing in -7 the methods according to claim 1
The instruction of either method.
10. a kind of computer readable storage medium for storing one or more programs, one or more of programs include instruction,
Described instruction is when calculating equipment execution, so that the calculating equipment executes any in -7 the methods according to claim 1
Method.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910554073.8A CN110276135B (en) | 2019-06-25 | 2019-06-25 | Available capacity determination method and device for grid-connected parking lot and computing equipment |
| PCT/CN2020/095647 WO2020259307A1 (en) | 2019-06-25 | 2020-06-11 | Method and device for determining available capacity of grid-connected parking lot, and computing apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910554073.8A CN110276135B (en) | 2019-06-25 | 2019-06-25 | Available capacity determination method and device for grid-connected parking lot and computing equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110276135A true CN110276135A (en) | 2019-09-24 |
| CN110276135B CN110276135B (en) | 2021-02-02 |
Family
ID=67962301
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910554073.8A Active CN110276135B (en) | 2019-06-25 | 2019-06-25 | Available capacity determination method and device for grid-connected parking lot and computing equipment |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN110276135B (en) |
| WO (1) | WO2020259307A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020259307A1 (en) * | 2019-06-25 | 2020-12-30 | 华北电力大学 | Method and device for determining available capacity of grid-connected parking lot, and computing apparatus |
| CN112329215A (en) * | 2020-10-20 | 2021-02-05 | 华北电力大学 | Reliability evaluation method and computing device for power distribution network comprising electric automobile battery replacement station |
| WO2021089914A1 (en) * | 2019-11-04 | 2021-05-14 | Liikennevirta Oy / Virta Ltd | Electric vehicle charging station reliability assessment method and device |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115221472B (en) * | 2022-07-21 | 2024-01-30 | 国网江苏省电力有限公司电力科学研究院 | Self-adaptive setting method and device for user voltage limit value, memory and computing equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015084385A1 (en) * | 2013-12-06 | 2015-06-11 | Schneider Electric USA, Inc. | Branch energy management for multiple evses |
| CN105322559A (en) * | 2015-11-11 | 2016-02-10 | 重庆大学 | V2G technology-based power distribution scheduling control method for electric vehicles |
| CN106022581A (en) * | 2016-05-12 | 2016-10-12 | 西安交通大学 | Importance sampling Monte Carlo power system reliability evaluation method based on geometric optimization-minimum variance method |
| CN107846024A (en) * | 2017-12-11 | 2018-03-27 | 厦门大学嘉庚学院 | Isolated island micro-capacitance sensor Probabilistic Load Flow Analytic Calculation Method |
| CN108197765A (en) * | 2018-03-23 | 2018-06-22 | 华北电力大学 | The parking lot charging schedule method and computing device distributed towards battery loss single-candidate |
| CN108964101A (en) * | 2018-07-05 | 2018-12-07 | 南方电网科学研究院有限责任公司 | The construction method and device of application scenarios model coexists in a kind of V2B and V2G |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8671745B2 (en) * | 2010-11-29 | 2014-03-18 | Ford Global Tehnologies, LLC | Shift-by-wire default-to-park functional verification |
| CN104951614A (en) * | 2015-06-30 | 2015-09-30 | 国家电网公司 | EV-charging-controllability considered unit combination model and modeling method |
| CN107719180B (en) * | 2017-11-24 | 2021-06-18 | 三峡大学 | Hybrid parking lot multi-source complementary charging method based on electric automobile flexible charging |
| CN109599856B (en) * | 2018-11-12 | 2023-01-10 | 国网天津市电力公司电力科学研究院 | Electric vehicle charging and discharging management optimization method and device in micro-grid multi-building |
| CN110276135B (en) * | 2019-06-25 | 2021-02-02 | 华北电力大学 | Available capacity determination method and device for grid-connected parking lot and computing equipment |
-
2019
- 2019-06-25 CN CN201910554073.8A patent/CN110276135B/en active Active
-
2020
- 2020-06-11 WO PCT/CN2020/095647 patent/WO2020259307A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015084385A1 (en) * | 2013-12-06 | 2015-06-11 | Schneider Electric USA, Inc. | Branch energy management for multiple evses |
| CN105322559A (en) * | 2015-11-11 | 2016-02-10 | 重庆大学 | V2G technology-based power distribution scheduling control method for electric vehicles |
| CN106022581A (en) * | 2016-05-12 | 2016-10-12 | 西安交通大学 | Importance sampling Monte Carlo power system reliability evaluation method based on geometric optimization-minimum variance method |
| CN107846024A (en) * | 2017-12-11 | 2018-03-27 | 厦门大学嘉庚学院 | Isolated island micro-capacitance sensor Probabilistic Load Flow Analytic Calculation Method |
| CN108197765A (en) * | 2018-03-23 | 2018-06-22 | 华北电力大学 | The parking lot charging schedule method and computing device distributed towards battery loss single-candidate |
| CN108964101A (en) * | 2018-07-05 | 2018-12-07 | 南方电网科学研究院有限责任公司 | The construction method and device of application scenarios model coexists in a kind of V2B and V2G |
Non-Patent Citations (3)
| Title |
|---|
| ANDREW KEANE等: "《Capacity Value of Wind Power》", 《IEEE TRANSACTIONS ON POWER SYSTEMS》 * |
| HOSSEIN FARZIN等: "《Reliability Studies of Modern Distribution Systems Integrated With Renewable Generation and Parking Lots》", 《IEEE TRANSACTIONS ON SUSTAINABLE ENERGY》 * |
| 陈丽丹等: "《电动汽车充放电负荷预测研究综述》", 《电力系统自动化》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020259307A1 (en) * | 2019-06-25 | 2020-12-30 | 华北电力大学 | Method and device for determining available capacity of grid-connected parking lot, and computing apparatus |
| WO2021089914A1 (en) * | 2019-11-04 | 2021-05-14 | Liikennevirta Oy / Virta Ltd | Electric vehicle charging station reliability assessment method and device |
| CN114126913A (en) * | 2019-11-04 | 2022-03-01 | 维尔塔有限公司 | Electric vehicle charging station reliability assessment method and device |
| CN112329215A (en) * | 2020-10-20 | 2021-02-05 | 华北电力大学 | Reliability evaluation method and computing device for power distribution network comprising electric automobile battery replacement station |
| CN112329215B (en) * | 2020-10-20 | 2024-02-27 | 华北电力大学 | Reliability evaluation method and computing equipment for power distribution network comprising electric automobile power exchange station |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020259307A1 (en) | 2020-12-30 |
| CN110276135B (en) | 2021-02-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110276135A (en) | A kind of active volume in grid-connected parking lot determines method, apparatus and calculates equipment | |
| Yao et al. | Robust frequency regulation capacity scheduling algorithm for electric vehicles | |
| Zhang et al. | Comprehensive dynamic battery modeling for PHEV applications | |
| CN107618392B (en) | Charging pile self-decision-making electric vehicle charging load random access control system and method | |
| Purvins et al. | Application of battery-based storage systems in household-demand smoothening in electricity-distribution grids | |
| Shen et al. | A new battery available capacity indicator for electric vehicles using neural network | |
| Amoroso et al. | Advantages of efficiency-aware smart charging strategies for PEVs | |
| Jamian et al. | Simulation study on optimal placement and sizing of battery switching station units using artificial bee colony algorithm | |
| Liu et al. | Day-ahead scheduling for an electric vehicle PV-based battery swapping station considering the dual uncertainties | |
| US8595122B2 (en) | System for measuring electricity and method of providing and using the same | |
| CN104852399B (en) | Light stores up the stored energy capacitance dynamic optimization method of micro-grid system | |
| WO2015184188A1 (en) | Systems and methods for convex relaxations and linear approximations for optimal power flow in multiphase radial networks | |
| CN106451592A (en) | Battery charging and discharging control method, battery charging and discharging control device and electric car | |
| CN110323502B (en) | Method and device for evaluating adaptability of retired power battery to gradient utilization scene | |
| CN110460075B (en) | Hybrid energy storage output control method and system for stabilizing peak-valley difference of power grid | |
| US20140225572A1 (en) | Method and device for the optimized recharging of an electric battery | |
| CN104283288A (en) | Charging method and device of charging station | |
| CN110470995A (en) | Remaining battery discharge time acquisition methods, system and terminal device | |
| CN115389954A (en) | Battery capacity estimation method, electronic equipment and readable storage medium | |
| CN102904252B (en) | Method for solving uncertainty trend of power distribution network with distributed power supply | |
| CN110518666A (en) | Battery charging parameter generation method, charging method, storage medium and electronic equipment | |
| CN104408539A (en) | Comprehensive evaluation method and system for resource optimization configuration of power distribution network | |
| CN106950500B (en) | A kind of capacity calculation methods of the shared battery based on battery life | |
| CN103401271B (en) | Method and device for determining accepting ability of provincial power grid to distributed power sources | |
| CN113224854A (en) | Method and device for evaluating receptivity of distributed energy storage power station |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |