CN107332238A - A kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access - Google Patents
A kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access Download PDFInfo
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- CN107332238A CN107332238A CN201710599177.1A CN201710599177A CN107332238A CN 107332238 A CN107332238 A CN 107332238A CN 201710599177 A CN201710599177 A CN 201710599177A CN 107332238 A CN107332238 A CN 107332238A
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- residential block
- electric automobile
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- car
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
Abstract
The present invention relates to a kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access, for China's ev industry by Stepping into Fast Development Phase, the construction of electric automobile charging station and charging pile is greatly promoted, the charging behavior of a large amount of electric automobiles will bring considerable influence to power network.First, by analyzing residential block power load characteristic, residential block cycle internal loading curve is drawn, the ability that residential block can be used for charging electric vehicle demand that obtains is calculated；Secondly, the daily travel of residential block electric automobile is calculated by analyzing the probability distribution of residential block electric automobile during traveling mileage；Then, according to resident's batteries of electric automobile state and the linear relationship of electric automobile during traveling mileage, the desired value of residential block batteries of electric automobile state is calculated, further calculating obtains residential block electric automobile and always expects charge volume；Finally, determine whether to carry out residential block transformer dilatation by comparing the size between day charge volume demand and residential block load surplus and need the capacity of dilatation.
Description
Technical field
The present invention is a kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access.
Background technology
As China shifts to the center of gravity of cleaning industry, government increases the support to ev industry.The electronic vapour of China
Car industry is by Stepping into Fast Development Phase, and this has also greatly promoted the construction of electric automobile charging station and charging pile, a large amount of electronic
The charging behavior of automobile will bring considerable influence to power network.On the one hand, for old residential block, present transformer capacity is
It is no to disclosure satisfy that the demand that electric automobile is added；On the other hand, for newly-built cell, conventional evaluation method is no longer desirable for
The situation that electric automobile is added.
Both at home and abroad to tackle extensive electric automobile access power distribution network charging, its possible negative effect is reduced, it is proposed that
Different methods.Establish the number of charging electric vehicle power demand in residential block electric automobile distributed number and single residential block
Learn statistical model, it is proposed that receive the appraisal procedure of charging electric vehicle ability in residential block.Propose grid and choose method, with distribution
The power supply capacity of transformer is limited as border, redundant power is divided into multiple grids, in two dimensions of time and power
The charging behavior of electric automobile is responded, orderly charging strategy is realized.It has studied a kind of On-line Control and offline optimization be combined
Orderly charge control method, residential quarter conventional load and charging electric vehicle load sum are controlled not by orderly charge controller
This limit value is optimized higher than power limit, and after on the same day, control time terminates, by the charging for calculating electric automobile
Priority ensures that electric automobile farthest reaches that user is expected state-of-charge.
The content of the invention
Consider the residential block transformer capacity Forecasting Methodology that electric automobile is accessed it is an object of the invention to provide a kind of, with
Completion is predicted to residential block power distribution network transformer capacity, it is ensured that the steady safety utilization of electric power in residential block.
To achieve the above object, the technical scheme is that：A kind of residential block transformer for considering electric automobile access
Capacity prediction methods, are realized in accordance with the following steps：
Step S1：Determine residential block load curve in the cycle.After ripe when a residential block, its part throttle characteristics also can be steady
It is fixed, with 24 hours for a cycle, residential block power load in power user power consumption information acquisition system is obtained, residential block is drawn
Load curve and repainted according to actual conditions；
Step S2：Calculate electric automobile daily travel.According to residential block resident family quantity NROozed with residential block electric automobile
Saturating rate α calculates residential block electric automobile quantity NPEV=α * NR.According to daily travel probability density function fD(x) residential block is calculated
The desired value E (x) of electric automobile daily travel；
Step S3：Calculate residential block electric automobile and always expect charge volume.According to residential block batteries of electric automobile state and electricity
The linear relationship of electrical automobile distance travelled, calculates the desired value E (s) of residential block batteries of electric automobile state, further calculates
Always expect charge volume Q to residential block electric automobileCar；
Step S4：Determine whether residential block transformer capacity meets charging electric vehicle demand.Choose residential block history most
Big load day, with residential block maximum load value PIt is highFor standard, made the difference with each collection point, it is Q to add up differenceDifference.By comparing
QCarWith QDifferenceSize determine whether residential block transformer capacity meets charging electric vehicle demand；
Step S5：Determine the residential block transformer capacity of electric automobile access.Work as QCar>QDifferenceWhen to residential block voltage device carry out
Dilatation, calculating needs increased capacity to be P, determines the residential block transformer capacity P of electric automobile accessAlways。
In an embodiment of the present invention, the determination of cycle internal loading curve is real in such a way in the step S1
It is existing：When 0, collection in every 15 minutes once, amounts to 96 collection points in one day.Consider resident's charging electric vehicle, concentrate on
19 (the 77th collection points) when 7 (the 29th point of next day), load curve is repainted.
In an embodiment of the present invention, daily travel probability density function in the step S2μ in formulaD=3.20, σD=0.88；The desired value of residential block electric automobile daily travel
In an embodiment of the present invention, batteries of electric automobile state and the line of electric automobile during traveling mileage in the step S3
Sexual intercourse isS represents batteries of electric automobile original state in formula, and d is represented
The daily distance travelled of electric automobile, dMRepresent the maximum daily travel of electric automobile；The phase of residential block batteries of electric automobile state
Prestige value E (s)=1-E (d)/dM；Residential block electric automobile always expects charge volume QCar=E (s) * NPEV*C。
In an embodiment of the present invention, it is Q to add up difference in the step S4DifferenceFor with residential block maximum load value PIt is highFor
Standard, with each collection point load PiDo the cumulative of difference and, i.e.,
In an embodiment of the present invention, Q is worked as in the step S5Car<QDifferenceWhen represent that residential block transformer can meet electronic vapour
Charge requirement after car access, it is not necessary to carry out dilatation；Work as QCar>QDifferenceWhen represent to need to carry out dilatation to residential block transformer, calculate
It is P=(Q to need increased capacityCar-QDifference)/12, determine the residential block transformer capacity P of electric automobile accessAlways=PIt is high+P。
Compared to prior art, the invention has the advantages that：A kind of consideration electric automobile proposed by the present invention connects
The residential block transformer capacity Forecasting Methodology entered, the thought based on peak load shifting, it is considered to which, to the part throttle characteristics of residential block, optimization is filled
Electric strategy, carries out charging in order, the charge power of electric automobile is controlled, complete and residential block power distribution network transformer is held
Amount is predicted.
Brief description of the drawings
Fig. 1 is the residential block transformer capacity Forecasting Methodology flow chart for considering electric automobile access.
Fig. 2 is power load curve map in the cycle of residential block.
Fig. 3 is residential block crest differential chart.
Embodiment
Below in conjunction with the accompanying drawings, technical scheme is specifically described.
The present invention provides a kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access, electronic for China
Stepping into Fast Development Phase has greatly been promoted the construction of electric automobile charging station and charging pile by automobile industry, a large amount of electronic vapour
The charging behavior of car will bring considerable influence to power network.First, by analyzing residential block power load characteristic, residential block is drawn
Cycle internal loading curve, calculates the ability that residential block can be used for charging electric vehicle demand that obtains；Secondly, by analyzing residential block
The probability distribution of electric automobile during traveling mileage calculates the daily travel of residential block electric automobile；Then, it is electronic according to resident
Automobile batteries state and the linear relationship of electric automobile during traveling mileage, calculate the desired value of residential block batteries of electric automobile state,
Further calculating obtains residential block electric automobile and always expects charge volume；Finally, born by comparing day charge volume demand with residential block
Size between lotus surplus determines whether to carry out dilatation to residential block transformer and needs the capacity of dilatation.
Specifically, as shown in figure 1, realizing in accordance with the following steps：
Step S1：Determine residential block load curve in the cycle.After ripe when a residential block, its part throttle characteristics also can be steady
It is fixed, with 24 hours for a cycle, residential block power load in power user power consumption information acquisition system is obtained, residential block is drawn
Load curve and repainted according to actual conditions, as shown in Figure 2；
Step S2：Calculate electric automobile daily travel.According to residential block resident family quantity NROozed with residential block electric automobile
Saturating rate α calculates residential block electric automobile quantity NPEV=α * NR.According to daily travel probability density function fD(x) residential block is calculated
The desired value E (x) of electric automobile daily travel；
Step S3：Calculate residential block electric automobile and always expect charge volume.According to residential block batteries of electric automobile state and electricity
The linear relationship of electrical automobile distance travelled, calculates the desired value E (s) of residential block batteries of electric automobile state, further calculates
Always expect charge volume Q to residential block electric automobileCar；
Step S4：Determine whether residential block transformer capacity meets charging electric vehicle demand.Choose residential block history most
Big load day, with residential block maximum load value PIt is highFor standard, made the difference with each collection point, it is Q to add up differenceDifference, such as Fig. 3 institutes
Show.By comparing QCarWith QDifferenceSize determine whether residential block transformer capacity meets charging electric vehicle demand；
Step S5：Determine the residential block transformer capacity of electric automobile access.Work as QCar>QDifferenceWhen to residential block voltage device carry out
Dilatation, calculating needs increased capacity to be P=(QCar-QDifference)/12, determine the residential block transformer capacity P of electric automobile accessAlways=
PIt is high+P。
In the present embodiment, the determination of cycle internal loading curve is to realize in such a way in the step S1：From 0 when
Start, collection in every 15 minutes once, amounts to 96 collection points in one day.Consider resident's charging electric vehicle, concentrate on 19 (the 77th
Collection point) when 7 (the 29th point of next day), load curve is repainted.
In the present embodiment, daily travel probability density function in the step S2
μ in formulaD=3.20, σD=0.88；The desired value of residential block electric automobile daily travel
In the present embodiment, batteries of electric automobile state and the linear relationship of electric automobile during traveling mileage in the step S3
ForS represents batteries of electric automobile original state in formula, and d represents electronic vapour
The daily distance travelled of car, dMRepresent the maximum daily travel of electric automobile；The desired value E of residential block batteries of electric automobile state
(s)=1-E (d)/dM；Residential block electric automobile always expects charge volume QCar=E (s) * NPEV*C。
In the present embodiment, it is Q to add up difference in the step S4DifferenceFor with residential block maximum load value PIt is highFor standard,
With each collection point load PiIt is the cumulative and i.e. Q of differenceDifference=∑ Pi。
In the present embodiment, Q is worked as in the step S5Car<QDifferenceWhen represent residential block transformer can meet electric automobile access
Charge requirement afterwards, it is not necessary to carry out dilatation；Work as QCar>QDifferenceWhen represent to need to carry out residential block transformer dilatation, calculating needs to increase
Plus capacity be P=(QCar-QDifference)/12, determine the residential block transformer capacity P of electric automobile accessAlways=PIt is high+P。
Above is presently preferred embodiments of the present invention, all changes made according to technical solution of the present invention, produced function is made
During with scope without departing from technical solution of the present invention, protection scope of the present invention is belonged to.
Claims (6)
1. a kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access, it is characterised in that in accordance with the following steps
Realize：
Step S1：Determine residential block load curve in the cycle.After ripe when a residential block, its part throttle characteristics can also be stablized,
With 24 hours for a cycle, residential block power load in power user power consumption information acquisition system is obtained, residential block is drawn
Load curve is simultaneously repainted according to actual conditions, as shown in Figure 2；
Step S2：Calculate electric automobile daily travel.According to residential block resident family quantity NRWith residential block electric automobile permeability α
Calculate residential block electric automobile quantity NPEV=α * NR.According to daily travel probability density function fD(x) residential block is calculated electronic
The desired value E (x) of automobile daily travel；
Step S3：Calculate residential block electric automobile and always expect charge volume.According to residential block batteries of electric automobile state and electronic vapour
The linear relationship of car distance travelled, calculates the desired value E (s) of residential block batteries of electric automobile state, further calculates and is occupied
People area electric automobile always expects charge volume QCar；
Step S4：Determine whether residential block transformer capacity meets charging electric vehicle demand.Choose residential block history maximum negative
Lotus day, with residential block maximum load value PIt is highFor standard, made the difference with each collection point, it is Q to add up differenceDifference, as shown in Figure 3.It is logical
Cross and compare QCarWith QDifferenceSize determine whether residential block transformer capacity meets charging electric vehicle demand；
Step S5：Determine the residential block transformer capacity of electric automobile access.Work as QCar>QDifferenceWhen residential block voltage device is expanded
Hold, calculating needs increased capacity to be P=(QCar-QDifference)/12, determine the residential block transformer capacity P of electric automobile accessAlways=PIt is high
+P。
2. a kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access according to claim 1, it is special
Levy and be, in the step S1, the determination of cycle internal loading curve is to realize in such a way：When 0, every 15 points
Clock is gathered once, amounts to 96 collection points within one day.Consider resident's charging electric vehicle, concentrate on 19 (the 77th collection points) up to
When 7 (the 29th point of next day), load curve is repainted.
3. a kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access according to claim 1, it is special
Levy and be, in the step S2, daily travel probability density function μ in formulaD=
3.20, σD=0.88；The desired value of residential block electric automobile daily travel
4. a kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access according to claim 1, it is special
Levy and be, in the step S3, batteries of electric automobile state and the linear relationship of electric automobile during traveling mileage areS represents batteries of electric automobile original state in formula, and d represents electric automobile
Daily distance travelled, dMRepresent the maximum daily travel of electric automobile；The desired value E (s) of residential block batteries of electric automobile state
=1-E (d)/dM；Residential block electric automobile always expects charge volume QCar=E (s) * NPEV*C。
5. a kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access according to claim 1, it is special
Levy and be, in the step S4, it is Q to add up differenceDifferenceFor with residential block maximum load value PIt is highFor standard, with each collection point
Load PiDo the cumulative of difference and, i.e.,
6. a kind of residential block transformer capacity Forecasting Methodology for considering electric automobile access according to claim 1, it is special
Levy and be, in the step S5, work as QCar<QDifferenceWhen represent residential block transformer can meet electric automobile access after charging need
Ask, it is not necessary to carry out dilatation；Work as QCar>QDifferenceWhen represent to need to carry out dilatation to residential block transformer, calculating needs increased capacity to be P
=(QCar-QDifference)/12, determine the residential block transformer capacity P of electric automobile accessAlways=PIt is high+P。
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109409618A (en) * | 2018-12-13 | 2019-03-01 | 江苏中科瀚星数据科技有限公司 | Electric car charges load forecasting method in a kind of residential quarter |
| CN109711870A (en) * | 2018-12-13 | 2019-05-03 | 江苏中科瀚星数据科技有限公司 | A kind of prediction of residential block electric car charging load and configuration method |
| CN110979084A (en) * | 2019-12-31 | 2020-04-10 | 广东电科院能源技术有限责任公司 | Charging control method, system and device for electric vehicle charging station |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102842946B (en) * | 2012-09-03 | 2014-12-24 | 北京交通大学 | Orderly electric car charging system and method for distribution transformer |
| CN106295860A (en) * | 2016-07-29 | 2017-01-04 | 国网山东省电力公司经济技术研究院 | A kind of electric automobile scale charge requirement Forecasting Methodology based on Monte Carlo Analogue Method |
| CN106427579A (en) * | 2016-07-25 | 2017-02-22 | 意昂神州（北京）科技有限公司 | Blade electric vehicle driving range estimation method and device based on average energy consumption modeling |
-
2017
- 2017-07-21 CN CN201710599177.1A patent/CN107332238A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102842946B (en) * | 2012-09-03 | 2014-12-24 | 北京交通大学 | Orderly electric car charging system and method for distribution transformer |
| CN106427579A (en) * | 2016-07-25 | 2017-02-22 | 意昂神州（北京）科技有限公司 | Blade electric vehicle driving range estimation method and device based on average energy consumption modeling |
| CN106295860A (en) * | 2016-07-29 | 2017-01-04 | 国网山东省电力公司经济技术研究院 | A kind of electric automobile scale charge requirement Forecasting Methodology based on Monte Carlo Analogue Method |
Non-Patent Citations (2)
| Title |
|---|
| 夏娟娟等: "电动汽车充电功率需求及其对电网负荷曲线的影响", 《电力学报》 * |
| 郭毅等: "居民区配电网接纳电动汽车充电能力的统计评估方法", 《电网技术》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109409618A (en) * | 2018-12-13 | 2019-03-01 | 江苏中科瀚星数据科技有限公司 | Electric car charges load forecasting method in a kind of residential quarter |
| CN109711870A (en) * | 2018-12-13 | 2019-05-03 | 江苏中科瀚星数据科技有限公司 | A kind of prediction of residential block electric car charging load and configuration method |
| CN110979084A (en) * | 2019-12-31 | 2020-04-10 | 广东电科院能源技术有限责任公司 | Charging control method, system and device for electric vehicle charging station |
| CN110979084B (en) * | 2019-12-31 | 2021-07-23 | 南方电网电力科技股份有限公司 | Charging control method, system and device for electric vehicle charging station |
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Application publication date: 20171107 |
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