CN113592152A - Residential community multi-type charging facility configuration method - Google Patents

Residential community multi-type charging facility configuration method Download PDF

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CN113592152A
CN113592152A CN202110767955.XA CN202110767955A CN113592152A CN 113592152 A CN113592152 A CN 113592152A CN 202110767955 A CN202110767955 A CN 202110767955A CN 113592152 A CN113592152 A CN 113592152A
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方陈
史一炜
张开宇
时珊珊
李一璞
徐琴
王皓靖
梁泽琪
吴丹
冯冬涵
张宇
雷珽
陆佳文
周云
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Shanghai Jiaotong University
State Grid Shanghai Electric Power Co Ltd
East China Power Test and Research Institute Co Ltd
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State Grid Shanghai Electric Power Co Ltd
East China Power Test and Research Institute Co Ltd
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Abstract

The invention relates to a configuration method of multi-type charging facilities in residential areas, which comprises the following steps: s1: constructing a charging supply and demand data set of the electric automobile in the residential community; s2: configuring private slow-charging pile for fixed parking space, wherein the total capacity P of the slow-charging pileslow(ii) a S3: charging simulation method based on which the number N of rapidly-charged piles to be configured is obtainedfastTotal capacity P of quick-filling pilefast(ii) a S4: residential community transformer margin safety verification
Figure DDA0003152640040000011
If the condition is satisfied, entering S6, otherwise, entering S5; s5: correcting the total number of the slow-filling piles and the total number of the fast-filling piles configured in the residential area, and returning to S4; s6: and when the charging service rate reaches the configuration requirement, outputting the configuration result of the residential community charging facility. The beneficial effects are that promote the charging service ability under the transformer capacity constraint under the residential quarter scene, adapt to the different permeability of electric automobile.

Description

Residential community multi-type charging facility configuration method
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of informatization of power systems, in particular to a configuration method of multi-type charging facilities in residential quarters.
[ background of the invention ]
The wide-range popularization of electric automobiles and the replacement of traditional fuel oil vehicles are already trends internationally, and particularly under the background that governments of various countries put forward a new carbon target in the century, the electric automobiles with clean and low-carbon performance are vigorously popularized in multiple countries all over the world, and the development of the electric automobiles becomes a key path for energy conservation and emission reduction of traffic departments. With the development and popularization of electric vehicles, large-scale charging loads are connected into a power grid, and the influence on the safe and economic operation of the power grid is bound to be generated. The electric automobile is used as the diffusion of new technology, and takes core cities as a starting point, the cities are often areas with dense population and dense electricity load, and the newly added charging load brings great challenges to the urban power grid.
With the progress of the battery technology and the charging technology of the electric automobile, according to measurement and calculation, the current common quick charging device can supplement the electric quantity required by the urban electric automobile for one day in only 6 minutes, and can realize the range increase close to 200km in half an hour. However, the energy supplementing frequency of the electric automobile is still higher than that of fuel oil vehicle refueling, even if rapid charging is carried out at a 1% simultaneous rate, thousands of charging piles are still required to be built in a city, tens of to hundreds of MW loads are newly added, great challenges are brought to existing power distribution resources of the city, and problems of local load overload, voltage fluctuation, reliability reduction and the like can be brought. The urban charging network is adaptive to the urban traffic travel demand and the urban power grid demand, and has the point-surface combination characteristic. The charging demand of the electric automobile is mainly absorbed in residential areas, and the quick charging stations in a road network are used as supplement and adjustment resources and are the direction of the construction and planning of future urban charging facilities.
The residential quarter absorbs a large amount of electric automobile charging loads, and faces the problems of insufficient parking places, insufficient space for charging facilities and insufficient capacity of attached transformers. The existing policy requires that a new cell configures 100% of charging guarantees for all parking spaces, and although the scheme can effectively promote the popularization of electric vehicles in the current scene, the scheme can not ensure that the large-scale charging needs are met or the construction cost of a cell power distribution network is greatly increased along with the continuous increase of the permeability of the electric vehicles. On the other hand, a large amount of power distribution and civil engineering resources in the built community are more tense, and if charging facilities are not reasonably configured, large-scale new charging load access causes great hidden troubles to safe and stable operation of the transformer in the community. Based on the actual parking space, the electric automobile keeping condition and the power distribution margin condition of the residential area, the requirements of fast charging and slow charging in the residential area need to be analyzed, and a method for cooperatively configuring a public fast charging pile and a private slow charging pile is provided. On the premise of not increasing the existing distribution capacity of the residential area, the utilization rate of charging facilities is improved, and the utilization rate of a transformer is improved, so that the charging service capacity of the residential area is improved, and more charging requirements of electric automobiles are met.
The patent application number CN201410001487.5, entitled "a method for calculating the configuration proportion of fast and slow charging facilities of an electric vehicle", discloses a method for calculating the configuration proportion of the fast and slow charging facilities of the electric vehicle; the configuration method enables the construction of the charging facility to fully meet the requirements of electric vehicle users on different types of charging modes, ensures the economical efficiency of construction investment of the charging facility, and avoids resource waste caused by the large quantity of quick charging facilities; however, the patent only considers the requirement of distinguishing fast charging and slow charging by using the charging time, is not suitable for the cell scene, and does not consider the capacity constraint of the transformer. Patent application No. cn201210222492.x, entitled "intelligent cell power supply capacity planning system and method with electric vehicle charging facility", discloses an intelligent cell power supply capacity planning system and method with electric vehicle charging facility; due to reasonable cell capacity design, the problems of large investment and large no-load loss caused by selecting too large transformer capacity or increased transformer load loss and harming safety and stability of a power grid caused by too small transformer capacity can be solved; however, the patent does not consider various types of charging facilities, does not consider the limitation of the total capacity of the power supply of the cell, and has poor applicability particularly to the built cell or the cell with high electric vehicle permeability. Patent application No. CN201210042310.0 entitled "system and method for managing charging of electric vehicles in residential area based on queue management", discloses a system and method for managing charging of electric vehicles in residential area based on queue management; the charging management system and the method for the electric vehicles in the community based on queue management are used for solving the technical problem of high load of a power grid caused by charging of a large number of electric vehicle users, effectively utilizing the low valley load of the power grid and simultaneously meeting the service quality requirements of different users; however, the queue mode of the present invention does not satisfy the cell scenario in terms of time and space conditions, which may cause the charging schedule to deviate from the actual situation.
The principle of N-1, a criterion for judging the safety of the power system, also called single fault safety criterion, according to the criterion, after any independent element (generator, transmission line, transformer, etc.) in the N elements of the power system is cut off due to fault, the power failure of a user caused by overload tripping of other lines should not be caused; the stability of the system is not damaged, and accidents such as voltage breakdown and the like do not occur.
Aiming at the defects in the prior art, the invention improves the configuration method of the charging facilities of the residential area.
[ summary of the invention ]
The invention aims to provide a multi-type charging facility configuration method which meets transformer capacity constraint and is suitable for different permeabilities of electric vehicles in residential area scenes.
In order to achieve the purpose, the technical scheme adopted by the invention is a configuration method of a residential quarter multi-type charging facility, which comprises the following steps:
s1: constructing a residential community electric automobile charging supply and demand data set, wherein the charging supply and demand data set comprises a charging demand information set SdemandCharging supply information set SsupplyAnd a charging behavior information set Sbehavior
S2: according to the charging supply and demand data set of the electric automobile in the residential area, the total number of the electric automobiles with fixed parking spaces is NP=1The owner configures private slow-filling piles in a ratio of 1: 1, and the total number of the slow-filling piles is Nslow=NP=1The total capacity P of the slow filling pile is obtained through integrationslow,Pslow=NP=1*P′slowOf which is P'slowThe capacity of the selected slow-filling pile is the capacity value of the single pile, namely the slow-filling power value;
s3: according to the charging supply and demand data set of the electric automobile in the residential area, the total number of the electric automobiles without fixed parking spaces is NP=0Configuring a public quick-charging pile by a vehicle owner, setting a quick-charging pile charging service mode mark M, and obtaining the number N of quick-charging piles to be configured based on a charging simulation methodfastThe pile-to-vehicle ratio is Nfast∶NP=0And integrating to obtain the total capacity P of the quick-filling pilefast=Nfast*P′fastOf which is P'fastThe capacity of the selected quick-filling pile is the single pile capacity, namely the quick-filling power value;
s4: the total capacity of the charging equipment of the residential area is Ptotal=Pfast+PslowCharging load margin at time t
Figure BDA0003152640020000041
Wherein alpha is the heavy load coefficient of the residential area transformer considering the n-1 overhaul condition, beta is the flexibility coefficient of the variable load, V is the capacity voltage of the residential area transformer n-1, PbaseFor basic load at time t, carrying out residential area transformer margin safety verification
Figure BDA0003152640020000042
If yes, go to step S6, otherwise go to step S5;
s5: the residential community slow-charging pile unit power service capacity
Figure BDA0003152640020000043
Fast charging pile unit power service capacity of residential area
Figure BDA0003152640020000044
Substitution coefficient of quick-filling pile to slow-filling pile in residential area
Figure BDA0003152640020000045
The total number of the slow filling piles configured in the residential community is corrected to
Figure BDA0003152640020000046
Figure BDA0003152640020000047
The total number of the quick-charging piles is corrected to
Figure BDA0003152640020000048
Figure BDA0003152640020000049
Wherein ceil () is a round-up function, return to step S4;
s6: according to the residential community electric vehicle charging demand data set, charging simulation is carried out on the configuration result of the charging facility by using the actual charging demand data of the residential community, and the charging service rate is defined
Figure BDA00031526400200000410
Wherein n is the number of charging simulation times, D1To obtain the number of charging demands to be met in each charging simulation, D2Outputting the configuration result of the residential community charging facilities when the charging service rate reaches the configuration requirement for the total charging demand number in each charging simulation; otherwise, returning to step S2, the types and numbers of charging facilities of the residential area are re-determined.
Preferably, in the method for configuring a multi-type charging facility in a residential area, step S1 specifically includes the following sub-steps:
s11: constructing residential community electric vehicle charging demand information set SdemandThe method comprises the steps of identifying codes ID of all electric automobiles in a residential area, battery capacity B and fixed parking place marks P;
s12: constructing residential community electric automobile charging supply information set SsupplyIncluding the capacity n-1 and V of each transformer for charging and supplying power in residential area, and the basic load P at each momentbaseAnd charge load margin at each moment
Figure BDA0003152640020000051
S13: electric automobile charging behavior information set S for residential areabehaviorIncluding the departure time T of each electric automobile in the residential quarterdTime to get home every day TaAnd state of charge SOC when coming homea
Preferably, in the configuration method of the multi-type charging facility in the residential area, the fixed parking place number flag P has a fixed parking place value of 1 and the unfixed parking place value of 0.
Preferably, in the configuration method for the multi-type charging facilities in the residential area, the fast charging pile charging service mode flag M is set to 0 when the unattended self-service charging value is set, and the value of a special operation and maintenance person is set to 1.
Preferably, in the method for configuring a multi-type charging facility in a residential area, the charging simulation method in step S3 includes the following specific steps:
s31: initializing time t to be 1, Period to be the total simulation duration, the set of fast-charging piles to be J, the number of the fast-charging piles to be card (J), and electric vehicle charging queue for each fast-charging pile to be { t (J) }, if there is vehicle charging at time t, t (J) takes a value of 1, otherwise, t (J) takes a value of 0, and T (J) is the sum of the sequence { t (J) };
s32: extracting a vehicle i returned to the cell at the time T, wherein the battery power level is SOC (i), and the planned next trip time Tstart(i);
S33: if the quick charging pile charging service mode flag M is equal to 1, the process proceeds to step S34; if the quick charging pile charging service mode flag M is equal to 0, the process proceeds to step S36;
s34: for the queue J ∈ J, the current shortest charging queue J ═ argmin (max ({ t (J)) }) is selected. If max ({ T (j) }) ≦ Tstart (i) is satisfied, vehicle i joins queue j,
Figure BDA0003152640020000052
s35: if SOC (i ≦ SOC ≦SOCSOCThe user needs to add a new fast-charging pile to meet the requirement for the lowest acceptable electric quantity for driving the vehicle in the next day, the total number of the fast-charging piles card (J) +1, and the step S31 is returned; if SOC (i) ≧SOCUpdating the queue j, and proceeding to step S37;
s36: for the queue J belonging to J, selecting the currently idle charging queue J, if the queue J meets the condition that T (J) is 0, updating the queue, and entering the step S37; if the condition queue is not met, the total number of fast-charging piles card (J) +1, and the step S31 is returned;
s37: judging whether the returning vehicle traverses at the time t, if not, returning to the step S32 after i + 1; if yes, t +1, go to step S38;
s38: judging that the time t is less than or equal to Period, if yes, returning to the step S32; if not, ending.
The invention has the following beneficial effects: 1. the method is characterized in that the problem of electric vehicle charging demand without fixed parking spaces is solved from the aspect of planning layout by combining with an actual problem field, a scheme for constructing a public quick-charging pile in a residential area is provided, and the quick-charging resource and the configuration of a private slow-charging pile are cooperatively considered for the first time, rather than being used as the supplement of the slow-charging resource as in the prior art; 2. a charging simulation method is provided, a public quick-charging pile charging service capability model of a residential area is established for the first time by importing user behavior information and charging mode information, and a suggested pile ratio under a corresponding scene can be given; 3. the charging service capability can be improved to the maximum extent under the condition that the capacity of a cell transformer is not increased, and a substitution scheme of applying a public quick charging pile to a private slow charging pile is provided when the total capacity of a charging facility is larger than a reserved margin; 4. the method is suitable for different permeability scenes of the electric automobile, can directly solve the problems of planning of newly-added charging facilities in a large number of old cells and insufficient distribution capacity at present, and is beneficial to more efficient configuration of distribution resources in residential cells and improvement of charging service capacity under the condition of higher permeability of the electric automobile in the future.
[ description of the drawings ]
Fig. 1 is a flow chart illustrating a method for configuring a multi-type charging facility in a residential area.
Fig. 2 is a flow chart of a charging simulation method of a residential quarter multi-type charging facility configuration method step S3.
[ detailed description ] embodiments
The invention is further described with reference to the following examples and with reference to the accompanying drawings.
Example 1
The embodiment realizes a configuration method of multi-type charging facilities in residential areas.
In the embodiment, aiming at the defects and the insufficient consideration in the prior art, the charging requirement without fixed charging resources is considered, the method for cooperatively configuring the public quick charging pile and the private slow charging pile is provided, and the charging simulation method is provided as a reference basis and a test means for configuring the charging facility, so that the transformer capacity constraint in a residential community scene is met, and different permeabilities of electric vehicles are adapted. The technical problem to be solved by the configuration method of the residential area multi-type charging facility in the embodiment is represented by the following points: (1) considering the charging requirement that private pile installation conditions are not met in a cell, a public quick-charging pile is configured to meet the charging requirement; the method comprises the steps of considering charging requirements generated by restriction of parking space property, fire protection, power supply design and the like in a residential area, configuring public quick-charging piles, and determining configuration quantity by a charging simulation method; considering that the configuration quantity of the public charging piles is influenced by the service capacity of the public charging piles, a charging simulation method is provided, the minutes-level charging behaviors and decision-making simulation under different service strategies is carried out based on the actual information of cell users, and a cell public quick charging pile service capacity model is established and used as a reference basis for the vehicle-to-vehicle ratio of the quick charging construction piles; (3) in consideration of the distribution capacity and the basic load of the cell, the total capacity of the multi-type charging device is coordinately configured, and the charging service capacity is improved to the maximum extent under the condition that the capacity of a transformer of the cell is not increased; (4) the charging service capacity expansion scheme for replacing quick charging with slow charging is provided in consideration of the service capacity and the utilization rate of the charging pile, and the charging service capacity expansion scheme is suitable for residential quarter scenes of electric vehicles under different permeabilities.
The embodiment provides a cooperative configuration method for multi-type charging facilities of residential communities, which considers the charging requirement that the residential communities do not have fixed parking spaces, provides a public quick charging pile configuration scheme, also provides a charging simulation method for measuring and calculating the public charging pile ratio and the configuration scheme evaluation under given conditions, and can improve the charging capacity of the residential communities under the condition of meeting the capacity constraint condition of a transformer of the residential communities through cooperative configuration of quick and slow charging piles.
Fig. 1 is a schematic flow chart of a method for configuring a multi-type charging facility in a residential area, as shown in fig. 1, the method for configuring the multi-type charging facility in the residential area in this embodiment includes the following steps:
step 1: constructing a residential community electric automobile charging supply and demand data set comprising a charging demand information set SdemandCharging supply information set SsupplyAnd a charging behavior information set Sbehavior
Step 2: according to the houseThe charging supply and demand data set of the electric automobile in the residential community is N in total with fixed parking spacesP=1The vehicle owner configures private slow-filling piles in a ratio of 1: 1, and the total number of the slow-filling piles is Nslow=NP=1The total capacity P of the slow filling pile is obtained through integrationslow,Pslow=NP=1*P′slowOf which is P'slowSelecting a common slow pile filling power value for the capacity of a single slow pile filling;
and step 3: according to the charging supply and demand data set of the electric automobile in the residential area, the total number of the electric automobiles without fixed parking spaces is NP=0Configuring public quick-charging piles by a vehicle owner, setting a charging service mode mark M (unattended self-service charging is 0, and special operation and maintenance personnel are set as 1), and obtaining the number N of quick-charging piles to be configured based on a charging simulation methodfastThe pile-to-vehicle ratio is Nfast∶NP=0And integrating to obtain the total capacity P of the quick-filling pilefast=Nfast*P′fastOf which is P'fastFor the capacity of a single quick-filling pile, a common quick-filling pile power value can be selected according to the charging flow of a cell;
and 4, step 4: the total capacity of the charging equipment of the residential area is Ptotal=Pfast+PslowCharging load margin at time t
Figure BDA0003152640020000081
Wherein alpha is a heavy load coefficient of the transformer considering the maintenance condition of n-1, beta is a flexibility coefficient of the variable load, V is the capacity voltage of the transformer n-1, and PbaseThe basic load at the moment t is determined according to the actual condition, the safety check of the margin of the transformer is carried out, and the requirement that the safety check of the margin of the transformer is met
Figure BDA0003152640020000082
If the requirement is met, entering a step 6, otherwise, entering a step 5;
and 5: in the background of the residential area, the unit power service capacity is slowly filled
Figure RE-GDA0003255221480000083
Fast-pile-filling unit power service capability
Figure RE-GDA0003255221480000084
Substitution coefficient of fast-filling pile to slow-filling pile
Figure RE-GDA0003255221480000085
Figure RE-GDA0003255221480000086
The total number of the slow-charging piles in the residential district planning is corrected to
Figure RE-GDA0003255221480000087
Figure RE-GDA0003255221480000088
The total number of the quick-charging piles is corrected to
Figure RE-GDA0003255221480000089
Figure RE-GDA00032552214800000810
Wherein ceil () is a round-up function, returning to step 4;
step 6: according to the residential community electric automobile charging demand data set, charging simulation is carried out on the charging facility planning result by using the actual charging demand data, and the charging service rate is defined
Figure BDA00031526400200000811
Wherein n is the number of times of simulation, D1To obtain the number of charging demands to be met in each simulation, D2When the charging service rate meets the planning requirement, the planning scheme is completed for the total charging demand in each simulation; otherwise, returning to the step 2, and re-determining the quantity of various types of charging facilities.
In this embodiment, the method for configuring a multi-type charging facility in a residential area includes the specific steps in step 1:
step 11: constructing residential community electric vehicle charging demand information set SdemandIncluding the identification code ID of each electric vehicle in the residential area, the battery capacity B and the fixed parking space mark P (the fixed parking space value is 1, and no fixed vehicle exists)Bit is 0);
step 12: constructing residential community electric automobile charging supply information set SsupplyIncluding the capacity n-1 and V of each transformer for charging and supplying power in residential area, and the basic load P at each momentbaseAnd charging load margin at each time
Figure BDA0003152640020000091
Step 13: electric automobile charging behavior information set S for residential areabehaviorIncluding the departure time T of each electric automobile in the residential quarterdTime to get home every day TaAnd state of charge SOC when coming homea
Fig. 2 is a flow chart of a charging simulation method of a method for configuring a multi-type charging facility in a residential quarter, step S3, as shown in fig. 2, in this embodiment, the method for configuring a multi-type charging facility in a residential quarter specifically includes the following steps in step 3:
step 31: initializing a time t which is 1, Period is the total simulation duration, the set of quick charging piles is J, the number of quick charging piles is card (J), the charging queue of each charging pile is { t (J) }, if a vehicle is charged at the time t, t (J) takes a value of 1, otherwise, the value is 0, and T (J) is the sum of the sequences { t (J) };
step 32: extracting a vehicle i returned to the cell at the time T, wherein the battery power level is SOC (i), and the planned next trip time Tstart(i);
Step 33: if M is 1, go to step 34; if M is equal to 0, go to step 36;
step 34: for the queue J ∈ J, the current shortest charging queue J ═ argmin (max ({ t (J)) }) is selected. If max ({ T (j) }) ≦ Tstart (i) is satisfied, vehicle i joins queue j,
Figure BDA0003152640020000101
step 35: if SOC (i ≦ SOC ≦SOCSOCAdding a new charging pile to meet the requirement for the lowest acceptable electric quantity of the user in the next day, wherein the total number of the charging piles is card (J) +1, and returning to the step 31; if SOC (i) ≧ SOCUpdating the queue j, and entering step 37;
step 36: for the queue J belonging to J, selecting the current idle charging queue J, if T (J) is equal to 0, updating the queue, and entering step 37; if the condition queue is not met, the total number of charging piles card (J) +1, and the step 31 is returned;
step 37: judging whether the returned vehicle is traversed at the moment t, if not, returning to the step 32 by i + 1; if yes, t +1, and the next step;
step 38: judging that the time t is less than or equal to Period, if yes, returning to the step 32; if not, ending.
Example 2
The embodiment realizes a configuration method of multi-type charging facilities in residential areas. This embodiment is a specific application of embodiment 1, and takes a medium-sized residential cell in east China as an example to analyze and verify the effectiveness of the method.
A medium-sized residential community is located in the Pudong New district of Shanghai city, has 1447 households, and is a typical large-scale urban residential community. The residential area of the residential building is 36, and the area of each household is 80-150m2235 ground parking spaces and 536 underground parking spaces. The number of underground parking spaces is 0.37 per household, and the number of aboveground parking spaces is 0.18 per household.
It should be noted that, because the load demand caused by the large-scale access of the electric vehicle charging facility is not fully considered when the traditional residential district is planned and constructed, the capacity of the distribution transformer cannot meet the increasing power demand. The current configuration transformer information is shown in table 1.
TABLE 1 typical cell transformer Capacity
Figure BDA0003152640020000111
The medium-sized residential district multi-type charging facility configuration method is implemented as follows:
step p 11: building community electric automobile charging demand information set Sdemand. Through a mode of combining field research and statistical calculation, about 92 pure electric vehicles with electric vehicles kept in a community are obtained69, plug-in hybrid vehicles 23, of which 63 have fixed parking spaces.
Step p 12: constructing charging supply information set S of electric automobiles in residential areasupply. The community is obtained to have 18 transformers, the n-1 capacity V is 9800kW, and the basic load mean value is 3646 kW;
step p 13: electric automobile charging behavior information set S for residential areabehavior. Investigating and collecting resident trip information (in the embodiment, through platforms such as a new energy automobile big data platform in Shanghai city), the daily departure time T of each electric automobile in the community is obtaineddTime to get home every day TaAnd state of charge SOC when coming homeaThe statistical model of (2);
step p 2: configuring private slow-filling piles in a ratio of 1: 1 for car owners with fixed parking spaces, selecting common 7kW slow-filling piles, configuring 63 piles in total, and configuring the total capacity of the slow-filling pilesslow=63*7=441kW;
Step p 3: public quick-charging piles are configured for 28 car owners without fixed parking spaces, an unattended self-service charging mode is adopted, and charging can be started when a user arrives at a station under a statistical model. Selecting a common 30kW quick-charging pile and setting the lowest acceptable electric quantity for the next-day driving of a userSOCIs 0.2, the charging simulation is carried out to obtain the number N of the fast-charging piles to be configuredfast4(3.66), the pile-vehicle ratio is 1: 7, and the total capacity P of the quick-filling pile is obtained through integrationfast=120kW;
Step p 4: the total capacity of the charging equipment of the residential area is PtotalThe conversion heavy load coefficient alpha of the cell transformer considering the power factor is 0.5, and the charging load margin at the time t is 561kW
Figure BDA0003152640020000121
Figure BDA0003152640020000122
Under the current holding capacity of electric automobiles in a community, the charging facility is additionally arranged, so that all charging requirements can be met and the limit of the distribution capacity of the community is not exceeded;
step p 5: and carrying out charging simulation on the planning result of the charging facility according to the charging demand data set and the charging behavior data set of the electric automobile in the residential area. Setting the simulation times n as 365, setting the single simulation duration as 1 day, and also considering to perform continuous simulation of a year scale, wherein the charging service rate E reaches 0.99805, and the planning result can be accepted;
in this embodiment, the configuration scheme of the medium-sized residential area multi-type charging facility is completed, and the configuration scheme of the multi-type charging facility meets the actual requirements through actual construction inspection.
Example 3
The embodiment realizes a configuration method of multi-type charging facilities in residential areas. This embodiment is a specific application of embodiment 1, and takes a medium-sized residential cell in east China as an example to analyze and verify the effectiveness of the method.
The basic situation of a certain medium-sized residential area is the same as that of embodiment 2. According to the "reference: a, Liu Jianan, Z.Y.A, and K.H.B. "The potential and economics of EV smart charging: a case study in Shanghai, "Energy Policy 119 (2018): the data and the calculation in 206 + 214 ", the permeability of the Shanghai electric automobile in 2030 is up to 30%, and the average cruising ability (under the same battery capacity) of the automobile model is improved by 10%. In this context, the medium-cell charging facility configuration is performed:
step q 11: building community electric automobile charging demand information set Sdemand. Based on current data and development trend deduction, about 434 electric vehicles, 326 pure electric vehicles and 108 plug-in hybrid electric vehicles are reserved in the cell under the scene, wherein 297 electric vehicles have fixed parking spaces;
step q 12: constructing charging supply information set S of electric automobiles in residential areasupply. Under the constraints of power planning and civil resource, the means for expanding the power supply capacity of the built cell is limited. In the scene, the capacity of the cell is expanded by adding a new transformer in the original distribution room, n-1 capacity V reaches 10800kW, the basic load is increased by 5%, and the average value is 3828 kW;
step q 13: electric automobile charging behavior information set S for residential areabehavior. The residential behavior is not changed in the scene, and the electric power of each vehicle in the community can be knownAutomobile departure time per day TdTime to get home every day TaThe statistical model of (1) but considering the improvement of the cruising ability of the electric automobile, and updating the state of electric charge SOC when each automobile arrives at homeaA model;
step q 2: configuring private slow-charging piles in a ratio of 1: 1 for car owners with fixed parking spaces, selecting common 7kW slow-charging piles, configuring 297 piles in total, and setting the total capacity P of the slow-charging pilesslow=297*7=2079kW;
Step q 3: a public quick-charging pile is configured for 137 car owners without fixed parking spaces, and a special operation and maintenance personnel charging mode is set, namely a queuing waiting area is set to allow cars to queue under the condition that the electric quantity meets the requirement when a user leaves. Selecting a common 30kW quick charging pile and setting the lowest acceptable electric quantity for the next-day driving of a userSOCAt 0.2, a charge simulation was performed. Obtaining the number N of the fast-charging piles to be configuredfast10(9.13), the ratio of pile to vehicle is 1: 15, and the total capacity P of the quick-filling pile is obtained by integrationfast=300kW;
Step q 4: the total capacity of the charging facilities of the residential area is Ptotal2379kW, the converted heavy load coefficient d after taking the factor of the cell transformer into consideration is 0.5, and the charging load margin at the time t
Figure BDA0003152640020000131
Figure BDA0003152640020000132
Under the scene, the community does not have the power distribution condition of configuring private slow charging piles for all electric vehicles, and the charging service capacity can be improved under the condition of limited power distribution capacity of the community through the cooperative configuration of multi-type charging facilities;
step q 5: under the scene, the charging capacity C of the slow-charging pile serving electric automobile with unit powerslow0.14 (vehicle), fast-charging pile unit power service capability CfastThe substitution coefficient eta of the fast-filling pile to the slow-filling pile is 0.20. The total number of slow filling piles in the cell planning is corrected to be N'slowCorrecting the total number of the quick filling piles to be N'fast11. Corrected total capacity P of cell charging facilitytotal1275kW, all charging requirements are met, and the power distribution capacity limit of the cell is not exceeded;
step q 6: according to the residential community electric vehicle charging demand data set, applying the actual charging demand data to the step q 5: and carrying out charging simulation on the planning result of the charging facility according to the charging demand data set and the charging behavior data set of the electric automobile in the residential area. The simulation times n are set to 365, the single simulation duration is 1 day, and the continuous simulation of one year scale can be considered to be carried out, the charging service rate E reaches 0.99726, and the planning result can be accepted.
In this embodiment, the configuration scheme of the medium-sized residential area multi-type charging facility is completed, and the configuration scheme of the multi-type charging facility meets the actual requirements through actual construction inspection.
It will be understood by those skilled in the art that all or part of the steps of implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing associated hardware, and the program may be stored in a computer-readable storage medium, where the storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and additions can be made without departing from the principle of the present invention, and these should also be considered as the protection scope of the present invention.

Claims (5)

1. A configuration method of multi-type charging facilities in residential areas is characterized by comprising the following steps:
s1: constructing a residential community electric automobile charging supply and demand data set, wherein the charging supply and demand data set comprises a charging demand information set SdemandCharging supply information set SsupplyAnd a charging behavior information set Sbehavior
S2: according to the charging supply and demand data set of the electric automobile in the residential area, the total number of the electric automobiles with fixed parking spaces is NP=1The owner configures the private slowness according to the proportion of 1: 1Filling piles, the total number of the slow filling piles is Nslow=NP=1The total capacity P of the slow filling pile is obtained through integrationslow,Pslow=NP=1*PslowIn which P isslowThe capacity of the selected slow-filling pile is the power value of the slow-filling pile;
s3: according to the charging supply and demand data set of the electric automobile in the residential area, the total number of the electric automobiles without fixed parking spaces is NP=0Configuring a public quick-charging pile by a vehicle owner, setting a quick-charging pile charging service mode mark M, and obtaining the number N of quick-charging piles to be configured based on a charging simulation methodfastThe pile-to-vehicle ratio is Nfast:NP=0And integrating to obtain the total capacity P of the quick-filling pilefast=Nfast*P′fastOf which is P'fastThe capacity of the selected quick-filling pile is the single pile capacity, namely the quick-filling power value;
s4: the total capacity of the charging equipment of the residential area is Ptotal=Pfast+PslowCharging load margin at time t
Figure FDA0003152640010000011
Wherein d is the heavy load coefficient of the residential area transformer considering the n-1 overhaul condition, beta is the flexibility coefficient of the variable load, V is the capacity voltage of the residential area transformer n-1, and PbaseFor basic load at time t, carrying out residential area transformer margin safety verification
Figure FDA0003152640010000012
If yes, go to step S6, otherwise go to step S5;
s5: the residential community slow-charging pile unit power service capacity
Figure FDA0003152640010000013
Fast charging pile unit power service capacity of residential area
Figure FDA0003152640010000014
Substitution coefficient of quick-filling pile to slow-filling pile in residential area
Figure FDA0003152640010000015
The total number of the slow charging piles configured in the residential district is corrected to
Figure FDA0003152640010000016
Figure FDA0003152640010000017
The total number of the quick-charging piles is corrected to
Figure FDA0003152640010000018
Figure FDA0003152640010000019
Wherein ceil () is a round-up function, return to step S4;
s6: according to the residential community electric vehicle charging demand data set, charging simulation is carried out on the configuration result of the charging facility by using the actual charging demand data of the residential community, and the charging service rate is defined
Figure FDA0003152640010000021
Wherein n is the number of charging simulation times, D1To obtain the number of charging demands to be met in each charging simulation, D2Outputting the configuration result of the residential community charging facility when the charging service rate reaches the configuration requirement for the total charging demand in each charging simulation; otherwise, returning to step S2, the types and numbers of charging facilities of the residential area are re-determined.
2. The method according to claim 1, wherein the step S1 comprises the following sub-steps:
s11: constructing residential community electric vehicle charging demand information set SdemandThe method comprises the steps of identifying codes ID of all electric automobiles in a residential area, battery capacity B and fixed parking place marks P;
s12: constructing residential community electric automobile charging supply information set SsupplyBag (bag)Including the capacity n-1 and V of each transformer for charging and supplying power in residential area, and the basic load P at each momentbaseAnd charging load margin at each time
Figure FDA0003152640010000022
S13: electric automobile charging behavior information set S for residential areabehaviorIncluding the departure time T of each electric automobile in the residential quarterdTime to get home every day TaAnd state of charge SOC when coming homea
3. The method according to claim 2, wherein the method further comprises: and the fixed parking place mark P is a fixed parking place value of 1 and a non-fixed parking place value of 0.
4. The method according to claim 1, wherein the method further comprises: and the quick-charging pile charging service mode mark M is 0 when the unattended self-service charging value is set, and the value of special operation and maintenance personnel is set to be 1.
5. The method as claimed in claim 4, wherein the charging simulation of step S3 comprises the following steps:
s31: initializing time t to be 1, Period to be simulation total duration, quick-charging pile set to be J, quick-charging pile number to be card (J), electric vehicle charging queue for each quick-charging pile to be { t (J) }, if vehicle charging is carried out at time t, t (J) takes a value of 1, otherwise, t (J) takes a value of 0, and T (J) is the sum of sequences { t (J) };
s32: extracting a vehicle i returned to the cell at the time T, wherein the battery power level is SOC (i), and the planned next trip time Tstart(i);
S33: if the quick charging pile charging service mode flag M is equal to 1, the process proceeds to step S34; if the quick charging pile charging service mode flag M is equal to 0, the process proceeds to step S36;
s34: for the queue J belonging to J, selecting the current shortest chargeElectric queue j ═ argmin (max ({ t (j))). If max ({ T (j) }) ≦ Tstart (i) is satisfied, vehicle i joins queue j,
Figure FDA0003152640010000031
s35: if SOC (i ≦ SOC ≦SOCSOCThe user needs to add a new fast-charging pile to meet the requirement for the lowest acceptable electric quantity for driving the vehicle in the next day, the total number of the fast-charging piles card (J) +1, and the step S31 is returned; if SOC (i) ≧SOCUpdating the queue j, and proceeding to step S37;
s36: for the queue J belonging to J, selecting the currently idle charging queue J, if the queue J meets the condition that T (J) is 0, updating the queue, and entering the step S37; if the condition queue is not met, the total number of fast-charging piles card (J) +1, and the step S31 is returned;
s37: judging whether the returning vehicle traverses at the time t, if not, returning to the step S32 after i + 1; if yes, t +1, go to step S38;
s38: judging that the time t is less than or equal to Period, if yes, returning to the step S32; if not, ending.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106530180A (en) * 2016-10-28 2017-03-22 黑龙江省电力科学研究院 High-cold region charging service network planning method
CN108288112A (en) * 2018-01-30 2018-07-17 广西电网有限责任公司柳州供电局 Region electric automobile charging station load forecasting method based on user's trip simulation
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
CN109934403A (en) * 2019-03-12 2019-06-25 浙江大学 Charge load Analysis prediction technique in electric car resident region based on mathematical model
KR102225813B1 (en) * 2019-12-26 2021-03-11 한국국토정보공사 Welfare facility demand forecast management device and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106530180A (en) * 2016-10-28 2017-03-22 黑龙江省电力科学研究院 High-cold region charging service network planning method
CN108288112A (en) * 2018-01-30 2018-07-17 广西电网有限责任公司柳州供电局 Region electric automobile charging station load forecasting method based on user's trip simulation
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
CN109934403A (en) * 2019-03-12 2019-06-25 浙江大学 Charge load Analysis prediction technique in electric car resident region based on mathematical model
KR102225813B1 (en) * 2019-12-26 2021-03-11 한국국토정보공사 Welfare facility demand forecast management device and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
郭毅;胡泽春;张洪财;苏文聪;占恺峤;徐智威: "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, vol. 39, no. 9, pages 2458 - 2464 *

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