CN214255738U - Electric automobile fills electric pile topological structure based on optimize distribution network distribution - Google Patents
Electric automobile fills electric pile topological structure based on optimize distribution network distribution Download PDFInfo
- Publication number
- CN214255738U CN214255738U CN202120386960.1U CN202120386960U CN214255738U CN 214255738 U CN214255738 U CN 214255738U CN 202120386960 U CN202120386960 U CN 202120386960U CN 214255738 U CN214255738 U CN 214255738U
- Authority
- CN
- China
- Prior art keywords
- station
- stations
- ring network
- switch
- distribution network
- 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.)
- Active
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The utility model discloses an electric automobile fills electric pile topological structure based on optimize distribution network distribution, including the transformer substation, switching station and ring website, a plurality of transformer substation connects gradually in joining in marriage the net, it links to each other with a plurality of switching station to arbitrary transformer substation, wherein two switching stations link to each other with the switching station of adjacent transformer substation and form the connecting switch station, all the other switching stations link to each other with the looped netowrk station and form the looped netowrk switching station, every looped netowrk switching station and 3 at least looped netowrk stations end to end, two adjacent looped netowrk switching stations are connected through same ring website, all the other ring websites do not directly link to each other with any switching station, it sets up in each ring website department to fill electric pile, through the ring website with join in marriage net and be connected. The utility model discloses a hierarchical V2G distribution network has good power and user access adaptability, nimble load transfer between the station and balancing ability, quick network fault self-healing ability, can reduce the influence to the electric wire netting after the extensive unordered access electric wire netting of electric automobile.
Description
Technical Field
The utility model relates to a join in marriage net optimization field, concretely relates to electric automobile fills electric pile topological structure based on optimize distribution network distribution.
Background
In an electric power system, a plurality of uncertain factors exist, and power grid fluctuation is easily caused. Such system uncertainty further increases with more and more new energy access. The load prediction error, photovoltaic power generation, wind power generation, electric vehicle charging and discharging behaviors, different topological structures of a power system, prediction of electricity price and the like are sources of power grid fluctuation and uncertain factors.
The popularization of the electric automobile leads the number of the electric automobile connected to a power grid to be continuously increased, the total amount of the total charging load of the electric automobile occupying the connected area is increased day by day, and the randomness of the charging time and the charging space of the electric automobile brings great risk to the operation of the power grid. The access of the electric automobile has great influence on many aspects such as power flow, electric energy quality, relay protection, planning and design, electric power market and the like. Firstly, the phenomenon of 'peak-to-peak' of the power grid can be caused by the disordered charging of the large-scale electric automobile, and the peak-to-valley difference of the power load of the power grid is further increased, so that the stability of the power grid is reduced. Meanwhile, the harmonic content of the power grid can be increased by disordered charging of the electric automobile, so that voltage distortion and power factor reduction are caused, and the electric energy quality in the area can possibly not reach the corresponding index. Therefore, how to select a reasonable ordered charging scheduling strategy to reduce the influence on the power flow, the power quality and the like of the power system is very important. Secondly, the electric vehicle is required to depend on more large-scale electric vehicle infrastructure charging facilities including charging piles and charging stations, and the factors are not fully considered in the traditional power distribution network planning at present. Because large-scale electric vehicles are connected to a power distribution network, the strong randomness of the large-scale electric vehicles can enable the requirements of the whole power system on stability and reliability to be quite high, and for this reason, a certain spare capacity must be reserved for a traditional generator set to meet the increased charging load, which increases the operation cost of the power system. Finally, the characteristics of the large-scale accessed electric vehicle V2G have a great influence on the electric power market with higher and higher competitive freedom, which is mainly reflected in that: the electric automobile and power grid interaction technology (V2G) enables the electric automobile not only to absorb electric energy from a power grid, but also to transmit electric energy from the power grid. This two-way interaction technology has greatly activated the power market. Therefore, how to apply an effective scheduling strategy to achieve the purpose of "win-win" of maintaining the stability of the power system and reducing the charging cost of the user is an important research direction.
SUMMERY OF THE UTILITY MODEL
The utility model aims at overcoming prior art's is not enough, provides an electric automobile fills electric pile topological structure based on optimize distribution network distribution, has designed a hierarchical V2G distribution network, has good power and user and inserts adaptability, nimble interstation load transfer and balancing ability, quick network fault self-healing ability, can reduce the influence to the electric wire netting after the extensive unordered access electric wire netting of electric automobile.
One technical scheme for achieving the above purpose is as follows: an electric vehicle charging pile topological structure based on optimized distribution of a power distribution network comprises a transformer substation, a switch station and a ring network station;
a plurality of transformer substations are connected in sequence in a distribution network, and are connected with a plurality of switch stations for any transformer substation, wherein two switch stations are connected with the switch stations of adjacent transformer substations to form a connection switch station, other switch stations are connected with ring network stations to form ring network switch stations, each ring network switch station is connected with at least 3 ring network stations end to end, two adjacent ring network switch stations are connected through the same ring network station, other ring network stations are not directly connected with any switch station, a charging pile is arranged at each ring network station, and the charging pile is connected with the distribution network through the ring network stations.
Further, the transformer substation is a 110kV transformer substation, the switching station is a 10kV switching station, the ring network station is a 10kV ring network station, the transformer substation is connected with the switching station through a 10kV backbone network cable, and the switching station is connected with the ring network station through a 10kV secondary network cable.
Furthermore, the switching station is connected with 1-2 transformer substations by taking the main node as the main node, the ring network station is taken as the secondary node, the ring network station is operated in an open loop mode, the switching station is connected nearby, and the switching station is taken as a power supply.
The utility model discloses an electric automobile fills electric pile topological structure based on optimize distribution network distribution compares with prior art, has following beneficial effect:
1) the utility model discloses utilize backbone network cable and secondary network cable, connect each current district's electric pile of charging together, and carry out the layering according to V2G electric wire netting capacity and grade, rely on a plurality of ring website and switch station, not only concentrate the electric wire netting capacity of a small part of electric automobile V2G, use as the effective adjustable load of distribution network, can also improve electric power system's stability;
2) the utility model discloses can lead the user to insert in order in the V2G distribution network through modes such as subsidy, make the user of different demands benefit, also provide certain support ability for the stability of electric wire netting, establish the basis for the high quality development that realizes electric automobile V2G distribution network.
Drawings
Fig. 1 is a schematic diagram of the electric vehicle charging pile topology structure based on distribution network optimization of the present invention;
FIG. 2 is a schematic diagram of a simple travel chain of an electric vehicle;
FIG. 3 is a schematic diagram of a complex travel chain of an electric vehicle;
fig. 4 is the application the utility model discloses topological structure's an electric automobile fills electric pile charging improvement method's electric automobile power supply power calculation flow chart based on optimize distribution network distribution.
Detailed Description
In order to better understand the technical solution of the present invention, the following detailed description is made by specific embodiments:
please refer to fig. 1, which is a schematic diagram of a V2G power distribution network topology according to an embodiment of the present invention. The optimized V2G power distribution network consists of a 110kV transformer substation 1, a 10kV backbone network cable 2, a 10kV switch station 3, a 10kV ring network station 4 and a 10kV secondary network cable 5. The main influencing factor of the selection of the 10kV switching station 3 and the 10kV ring network station 4 is the V2G power distribution network capacity of the district, the district with the larger V2G power distribution network capacity is set as the switching station 3, and the switching station 3 is directly connected with the transformer substation 1 through a backbone network cable 2; the small-capacity zone of the V2G power distribution network is set as a ring network station 4, the ring network stations 4 are connected in a single-way mode through 10kV secondary network cables 5 to form an open-loop circuit, and the open-loop circuit is connected with the nearest switch station 3 end to end through the 10kV secondary network cables 5.
The 10kv switch station 3 is used as a main node and is connected with 1-2 110kv transformer substations 1, so that after one transformer substation breaks down, the transformer substations can be temporarily powered by the other two transformer substations, and the stability of the power system is further improved. The 10kv ring network station 4 serves as a secondary node, one switching station and four ring network stations form a loop, and two of the ring network stations serve as end-to-end nodes and are connected with the two switching stations, so that the power grid capacity of a small part of electric vehicles V2G can be concentrated and used as an effective adjustable load of a power distribution network, and when one switching station fails, the other two switching stations can be temporarily powered through the ring network station, and the stability of a power system is further improved. Fill electric pile and set up in ring website 4 department, be connected with the distribution network through looped netowrk station 4.
Use the utility model discloses a join in marriage net topology's an electric automobile charging pile improvement method that charges based on optimize distribution network distribution includes following step:
s1: and collecting power supply starting time, power supply ending time and power quantity data provided by the users to the power grid side in the V2G power distribution network in each area from a charging pile manager.
S2: and counting travel rules of the electric vehicle user based on the travel chain, and performing comparison and integration with the data of the charging pile collected in the step S1. Referring to fig. 2 and 3, a single day trip location of a user may be divided into a home (H), a workplace (W), a social place (SO), a shopping place (SH), and other places (O). When the user is a simple travel chain, the user is generally considered to start from home (H), stop at one of the other four places and access the V2G distribution network, finally return to home (H) and access the V2G distribution network, and the process forms a complete simple travel chain. When the user is a complex travel chain, the user is generally considered to start from home, stop after arriving at the destination 1 and access the V2G power distribution network, then start from the destination 1, stop after going to the destination 2 and access the V2G power distribution network, and finally start from the destination 2, return to home (H) and access the V2G power distribution network, and this process constitutes a complete complex travel chain.
S3: the situation that the electric automobile supplies power to the power grid by using the V2G technology is divided into three types according to the S1 step and the S2 step, wherein the three types are one power supply per day, two power supplies per day and three power supplies per day. According to the step S2, the electric vehicle has the first time of day mainly concentrated on 20-22 hours, the second time of day mainly concentrated on 3-5 hours and 20-22 hours, and the third time of day mainly concentrated on 3-5 hours, 12-14 hours and 20-22 hours.
And S4, establishing a model for the electric automobile to supply power to the power grid by using the V2G technology according to the classification of the step S3, and calculating the V2G power distribution network capacity of each block by using a Monte Carlo algorithm.
Referring to fig. 4, in order to obtain a power supply power curve of an electric vehicle in a certain area, the total amount N of each type of electric vehicle needs to be set, the random mileage and the initial charge amount of the electric vehicle when the electric vehicle is connected to the V2G power distribution network are generated through a probability density function, the initial power supply time and the power supply duration time are generated through a monte carlo algorithm, and finally, the power supply power curve of each electric vehicle is continuously superimposed to obtain an output power supply curve.
Probability density function f (x) of user's trip start time and trip end time11) Are obtained by the formula (1):
in the formula (1), x11Representing either a trip start time or trip end time, x11Probability distribution X of11Is represented by X11～N(μ11,σ11 2)，μ11Denotes x11Expectation of (a)11Denotes x11Standard deviation of (2).
Further, in the step S4, the probability density function f (x) of the mileage12) Obtained by the formula (2):
in the formula (2), x12Indicating mileage, x12Logarithmic probability distribution of (X)12) Is expressed as ln (X)12)～N(μ12,σ12 2)，μ12Represents ln (X)12) Average value of (a) ("sigma12Represents ln (X)12) Standard deviation of (2).
In the step S4, a random variable is set
When the value is 1, the electric automobile supplies power to a power grid; random variable
When the value is 0, the electric automobile does not start to supply power to the power grid, and the probability of the electric automobile meets the following formula:
in the formula (3) and the formula (4),
is a certain time t of the day0A random variable of (a); t is t0Indicating a time of day; s represents a charge start time; t is tcRepresenting the power supply time; p represents a probability;
the power supply time is a joint probability distribution function of the power supply starting time and the power supply duration. Assuming that the 2 random variables are independent of each other, then
Wherein Fs、
Respectively, probability distribution functions of the power supply starting time and the power supply duration. The power supply power of the electric automobile at a certain time t0 in one day is
Then
Satisfies the following equation:
in the formulas (5) and (6),
is t0Power at a time;
is t0A random variable of (a); pcIs power supply; p0The power is rated for supplying power.
And establishing an electric automobile power supply model according to the content, and obtaining the V2G power distribution network capacity of each district by using a Monte Carlo algorithm.
S5: and configuring a switching station and a ring network station according to the V2G power distribution network capacity of each district, wherein the switching station is a main node and is connected with 1-2 transformer substations, the ring network station is a secondary node, the ring network station operates in an open loop mode, the switching station is connected nearby, and the switching station is used as a power supply.
And S6, collecting and summarizing the power grid capacity of the electric automobile V2G by the ring website and the switch station, and using the collected and summarized power grid capacity as the effective adjustable load of the V2G power distribution network. Whether near can real-time inquiry user need insert V2G distribution network through user side APP, guide user access V2G distribution network through modes such as subsidy, reach the effect that "the peak clipping filled the valley", improve electric power system's stability.
It will be appreciated by those skilled in the art that the above embodiments are only for illustrating the present invention and are not to be used as limitations of the present invention, and that changes and modifications to the above described embodiments will fall within the scope of the claims of the present invention as long as they are within the spirit and scope of the present invention.
Claims (3)
1. The utility model provides an electric automobile fills electric pile topological structure based on optimize distribution network distributes, includes transformer substation, switch station and ring website, its characterized in that:
a plurality of transformer substations are connected in sequence in a distribution network, and are connected with a plurality of switch stations for any transformer substation, wherein two switch stations are connected with the switch stations of adjacent transformer substations to form a connection switch station, other switch stations are connected with ring network stations to form ring network switch stations, each ring network switch station is connected with at least 3 ring network stations end to end, two adjacent ring network switch stations are connected through the same ring network station, other ring network stations are not directly connected with any switch station, a charging pile is arranged at each ring network station, and the charging pile is connected with the distribution network through the ring network stations.
2. The electric vehicle charging pile topological structure based on distribution network optimization of claim 1, characterized in that:
the transformer substation is a 110kV transformer substation, the switch stations are 10kV switch stations, the ring network station is a 10kV ring network station, the transformer substation is connected with the switch stations through 10kV backbone cables, and the switch stations are connected with the ring network station through 10kV secondary network cables.
3. The electric vehicle charging pile topological structure based on distribution network optimization is characterized in that a switching station is a main node and is connected with 1-2 substations, a ring network station is a secondary node, the ring network station runs in an open loop mode, the switching station is connected nearby, and the switching station is used as a power supply.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120386960.1U CN214255738U (en) | 2021-02-20 | 2021-02-20 | Electric automobile fills electric pile topological structure based on optimize distribution network distribution |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120386960.1U CN214255738U (en) | 2021-02-20 | 2021-02-20 | Electric automobile fills electric pile topological structure based on optimize distribution network distribution |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN214255738U true CN214255738U (en) | 2021-09-21 |
Family
ID=77727017
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202120386960.1U Active CN214255738U (en) | 2021-02-20 | 2021-02-20 | Electric automobile fills electric pile topological structure based on optimize distribution network distribution |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN214255738U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115520057A (en) * | 2022-11-22 | 2022-12-27 | 小米汽车科技有限公司 | Charging pile topology determination method and device and storage medium |
-
2021
- 2021-02-20 CN CN202120386960.1U patent/CN214255738U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115520057A (en) * | 2022-11-22 | 2022-12-27 | 小米汽车科技有限公司 | Charging pile topology determination method and device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110895638A (en) | Method for establishing active power distribution network planning model considering electric vehicle charging station location and volume | |
| CN104253470B (en) | Electric automobile and grid interacted and coordinated orderly charging control method | |
| Guo et al. | A minimum loss routing algorithm based on real-time transaction in energy internet | |
| CN110212527B (en) | Distribution network primary grid structure and power distribution automation collaborative planning method | |
| CN115360804B (en) | Ordered charging system and ordered charging method | |
| Velamuri et al. | Combined approach for power loss minimization in distribution networks in the presence of gridable electric vehicles and dispersed generation | |
| Yi et al. | Energy scheduling and allocation in electric vehicle energy distribution networks | |
| CN104158187A (en) | Control method and system for secondary allocation of local power grid energy and power | |
| CN212518499U (en) | Intelligent charging station power supply system | |
| Lévesque et al. | Co-simulation of PEV coordination schemes over a FiWi smart grid communications infrastructure | |
| Zhang et al. | A coordinated restoration method of electric buses and network reconfiguration in distribution systems under extreme events | |
| CN214255738U (en) | Electric automobile fills electric pile topological structure based on optimize distribution network distribution | |
| CN111952963A (en) | Construction area power distribution network fine planning method | |
| CN106374517A (en) | Battery energy storage system for alleviating problem of photovoltaic power generation abandoning and limiting and control method therefor | |
| Sun et al. | A software-defined green framework for hybrid EV-charging networks | |
| CN108988336B (en) | Optimization planning method for charging pile system with nested micro-grid | |
| Ma et al. | An overview on impacts of electric vehicles integration into distribution network | |
| CN203787968U (en) | Microgrid nickel-hydrogen battery energy storage system | |
| CN112848946B (en) | Electric vehicle charging pile charging improvement method based on optimized distribution of power distribution network | |
| Sakulphaisan et al. | Loss minimization for bipolar dc distribution grid considering probabilistic ev charging load using load balancing method | |
| Dai et al. | Optimization of electric vehicle charging capacity in a parking lot for reducing peak and filling valley in power grid | |
| CN115130254A (en) | Power communication fusion network generation method based on improved modularity community division | |
| Huang et al. | Optimal configuration method for ev charging station in distribution network considering user adjustment under v2g mode | |
| Chen et al. | Research on optimal planning of distribution network with multi-microgrids based on the improved minimum spanning tree algorithm | |
| Bai et al. | [Retracted] Two‐Stage Research on AC/DC Hybrid High‐Voltage Distribution Network Based on Network Reconfiguration and SOP Coordinated Control |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |