Distributed power supply system based on charging station cluster

Abstract

The present invention provides a distributed power supply system based on a charging station group, and relates to the technical field of power supply. The distributed power supply system based on a charging station group includes: a plurality of charging stations; a plurality of candidate aggregation centers, which are electrically connected to a distribution network, at least one candidate aggregation center is electrically connected to a plurality of charging stations, and at least one charging station is electrically connected to at least two of the plurality of candidate aggregation centers; wherein the candidate aggregation center is configured to process the power demand information from the charging station based on a power distribution optimization function to obtain the power supply information of each charging station, and the power distribution optimization function is constructed according to the power collection constraint conditions for constraining the power balance between the candidate aggregation center and the distribution network; the charging station is also configured to determine the target aggregation center based on the power supply information sent by each of the plurality of candidate aggregation centers; and supply power to the vehicle based on the power transmitted by the target aggregation center.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply, and more specifically, to a distributed power supply system based on a charging station group. Background Art

[0002] With the rapid popularization of electric vehicles, the number of charging stations for charging electric vehicles is also showing a rapid growth trend. Charging stations can supply power to electric vehicles by connecting to the distribution network. The rapid growth of charging stations has brought tremendous pressure to the planning and operation of the distribution network. Summary of the invention

[0003] In view of this, the present invention provides a distributed power supply system based on a charging station group.

[0004] The distributed power supply system based on a charging station group provided by the present invention includes: multiple charging stations; multiple candidate aggregation centers, which are electrically connected to the distribution network, at least one candidate aggregation center is electrically connected to multiple charging stations, and at least one charging station is electrically connected to at least two of the multiple candidate aggregation centers; wherein the candidate aggregation center is configured to process the power demand information from the charging station based on the power distribution optimization function to obtain the power supply information of each charging station, and the power distribution optimization function is constructed according to the power collection constraint conditions used to constrain the power balance between the candidate aggregation center and the distribution network; the charging station is also configured to determine the target aggregation center based on the power supply information sent by each of the multiple candidate aggregation centers; and supply power to the vehicle based on the power transmitted by the target aggregation center.

[0005] According to an embodiment of the present invention, by constructing a candidate aggregation center between multiple charging stations and the distribution network, the candidate aggregation center receives the electric energy of the distribution network and distributes the received electric energy to multiple connected charging stations, which can avoid the charging station directly accessing the power supply node of the distribution network and causing the distribution network operation state to fluctuate; at the same time, the candidate aggregation center is used to process the power demand information of the charging station according to the power distribution optimization function, and send the power supply information, so that the charging station can select a target aggregation center with stable power supply from multiple candidate aggregation centers for power supply, so that the charging station can flexibly select a suitable aggregation center to supply power, improve the operating flexibility of the charging station in the power supply process, and reduce the pressure on the power load of the distribution network due to the addition of new charging stations or the sharp increase in the power demand of the charging stations, reduce the peak-to-valley difference of the power load of the distribution network, and improve the operating safety of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0007] Figure 1A schematic diagram showing the principle of a distributed power supply system based on a charging station group according to an embodiment of the present invention is shown;

[0008] Figure 2 A schematic diagram showing candidate aggregation centers according to an embodiment of the present invention is shown;

[0009] Figure 3 A schematic diagram of a charging station according to an embodiment of the present invention is shown;

[0010] Figure 4A A schematic diagram showing a principle of a first distributed power supply system based on a charging station group according to an embodiment of the present invention is shown;

[0011] Figure 4B A photovoltaic power generation curve diagram of a first distributed power supply system based on a charging station group according to an embodiment of the present invention is shown;

[0012] Figure 4C A daily curve chart of charging load of a charging station of a first distributed power supply system based on a charging station group according to an embodiment of the present invention is shown;

[0013] Figure 5 A schematic diagram showing the principle of a distributed power supply system based on a charging station group according to a comparative example of the present invention is shown;

[0014] Figure 6 A load curve comparison diagram between a first distributed power supply system based on a charging station group according to an embodiment of the present invention and a second distributed power supply system based on a charging station group according to a comparative example is shown. DETAILED DESCRIPTION

[0015] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0016] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0017] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0018] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0019] In the embodiments of the present invention, the collection, updating, analysis, processing, use, transmission, provision, disclosure, storage and other aspects of the data involved (for example, including but not limited to user personal information) are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain the security of user personal information, network security and national security.

[0020] In the embodiment of the present invention, before obtaining or collecting the user's personal information, the user's authorization or consent is obtained.

[0021] The inventors have discovered that charging stations can be deployed based on charging station groups. Multiple charging stations with similar geographical locations in a charging station group can be connected to the distribution network in an aggregated manner to form a charging station group. Charging station groups usually participate in energy trading and other processes of the distribution network as a subject. However, the inventors have discovered that the power supply method of the charging station group has the following problems. First, the charging station is connected to the distribution network in an AC radial manner. There is a lack of unified scheduling and coordination functions among the multiple charging stations within the charging station group and between the charging station groups. At the same time, various comprehensive energy sources such as photovoltaic output and stored electricity are difficult to play a role in the power supply process of the charging station, resulting in a waste of overall resources and difficulty in adapting to a flexible market trading mechanism; secondly, the power of the charging station is constantly increasing, resulting in the need for a large amount of investment and transformation work on the distribution network.

[0022] An embodiment of the present invention provides a distributed power supply system based on a charging station group. The distributed power supply system based on a charging station group includes: multiple charging stations and multiple candidate aggregation centers; multiple candidate aggregation centers are electrically connected to the distribution network, at least one candidate aggregation center is electrically connected to multiple charging stations, and at least one charging station is electrically connected to at least two of the multiple candidate aggregation centers; wherein the candidate aggregation center is configured to process the power demand information from the charging station based on the power distribution optimization function to obtain the power supply information of each charging station, and the power distribution optimization function is constructed according to the power collection constraint conditions used to constrain the power balance between the candidate aggregation center and the distribution network; the charging station is also configured to determine the target aggregation center based on the power supply information sent by each of the multiple candidate aggregation centers; and supply power to the vehicle based on the power transmitted by the target aggregation center.

[0023] According to an embodiment of the present invention, by constructing a candidate aggregation center between multiple charging stations and the distribution network, the candidate aggregation center receives the electric energy of the distribution network and distributes the received electric energy to multiple connected charging stations, which can avoid the charging station directly accessing the power supply node of the distribution network and causing the distribution network operation state to fluctuate; at the same time, the candidate aggregation center is used to process the power demand information of the charging station according to the power distribution optimization function, and send the power supply information, so that the charging station can select a target aggregation center with stable power supply from multiple candidate aggregation centers for power supply, so that the charging station can flexibly select a suitable aggregation center to supply power, improve the operating flexibility of the charging station in the power supply process, and reduce the pressure on the power load of the distribution network due to the addition of new charging stations or the sharp increase in the power demand of the charging stations, reduce the peak-to-valley difference of the power load of the distribution network, and improve the operating safety of the distribution network.

[0024] Figure 1 A schematic diagram of the principle of a distributed power supply system based on a charging station group according to an embodiment of the present invention is shown.

[0025] like Figure 1As shown, the distributed power supply system 100 based on the charging station group includes: multiple charging stations and multiple candidate aggregation centers. The multiple charging stations may include S1 charging station, S2 charging station, S3 charging station, S4 charging station, S5 charging station, S6 charging station, S7 charging station, S8 charging station and S9 charging station. The multiple candidate aggregation centers may include A1 aggregation center, A2 aggregation center, A3 aggregation center and A4 aggregation center. The S4 charging station is electrically connected to the A1 aggregation center and the A3 aggregation center, the S5 charging station is electrically connected to the A1 aggregation center, the A2 aggregation center, the A3 aggregation center and the A4 aggregation center, and the S6 charging station is electrically connected to the A2 aggregation center and the A4 aggregation center. The A1 aggregation center and the A3 aggregation center can be electrically connected to the 10kV busbar of the distribution network based on the first electrical connection node 101, and the A2 aggregation center and the A4 aggregation center can be electrically connected to the 10kV busbar of the distribution network based on the second electrical connection node 102, thereby realizing electrical connection with the distribution network.

[0026] like Figure 1 As shown, the S4 charging station can send power demand information to the A1 aggregation center and the A3 aggregation center respectively. The A1 aggregation center can receive the power demand information from the S1 charging station, the S2 charging station, the S4 charging station, and the S5 charging station. Accordingly, the A1 aggregation center can also use the power distribution optimization function to process the power demand information from the S1 charging station, the S2 charging station, the S4 charging station, and the S5 charging station to obtain the power supply information of the S1 charging station, the S2 charging station, the S4 charging station, and the S5 charging station, and send the power supply information of the S1 charging station, the S2 charging station, the S4 charging station, and the S5 charging station to the corresponding charging station.

[0027] The A3 aggregation center can receive the power demand information from the S4 charging station, S5 charging station, S7 charging station, and S8 charging station. Accordingly, the A3 aggregation center can also use the power distribution optimization function to process the power demand information from the S4 charging station, S5 charging station, S7 charging station, and S8 charging station, obtain the power supply information of the S4 charging station, S5 charging station, S7 charging station, and S8 charging station, and send the power supply information of the S4 charging station, S5 charging station, S7 charging station, and S8 charging station to the corresponding charging station respectively.

[0028] The S4 charging station can determine the A1 aggregation center as the target aggregation center based on the power supply information sent from the A1 aggregation center and the A3 aggregation center, and supply power to the vehicles connected to the S4 charging station by receiving the power transmitted from the A1 aggregation center.

[0029] It should be understood that Figure 1The number of candidate aggregation centers, charging stations, and access nodes in the example is only illustrative. Any number of aggregation centers, charging stations, and access nodes may be provided as required. Figure 1 The topological structure representing the electrical connection between the candidate aggregation center and the charging station shown in is only schematic, and the electrical connection mode between the candidate aggregation center and the charging station can be selected according to actual needs.

[0030] According to an embodiment of the present invention, the electrical connection between the charging station and the candidate aggregation center may include connecting the charging station and the candidate aggregation center with electric energy based on an electric energy transmission medium such as a cable, so that an energy flow is formed between the charging station and the candidate aggregation center. In addition, the charging station and the candidate aggregation center may also be connected to each other in communication based on a wired communication information transmission medium such as an optical fiber, or a wireless communication information transmission medium such as a radio wave, so that an information flow is formed between the charging station and the candidate aggregation center.

[0031] According to an embodiment of the present invention, the candidate aggregation center and the charging station may be electrically connected based on a direct current power supply mode.

[0032] According to an embodiment of the present invention, the power demand information may include power information such as power quantity, voltage, power, etc. of the charging station, and may also include other information related to power energy demand such as power supply unit price and power supply period. The power supply information may include power information such as power quantity, voltage, power, etc. that the candidate aggregation center can provide to the charging station, and may also include other information related to power energy demand such as power supply unit price and power supply period provided to the charging station. The power collection constraint condition may be based on the operating state parameters of the distribution network in a specified period of time to constrain the power balance between the distribution network and the candidate aggregation center, so that the candidate aggregation center can use the power distribution optimization function to process the power demand information sent by multiple charging stations, and send power supply information representing the power that the candidate aggregation center can provide to each charging station to multiple charging stations while ensuring the power balance between the distribution network and the candidate aggregation center, so as to avoid the large power obtained by multiple charging stations causing fluctuations in the operation of the distribution network. The charging station can obtain different power supply information from multiple candidate aggregation centers, and select a suitable target aggregation center as the object for obtaining power based on the multiple power supply information, so as to enable the charging station to flexibly select the power acquisition method or power acquisition price during operation, so as to improve the flexibility of the power supply method for the vehicle.

[0033] Figure 2 A schematic diagram of candidate aggregation centers according to an embodiment of the present invention is shown.

[0034] like Figure 2As shown, the candidate aggregation center 200 includes an energy aggregation management module 210, a central energy storage module 220 and multiple central ports. The multiple central ports may include the first central port Alink1, the second central port Alink2, ... the m-1th central port Alinkm-1, and the m-th central port Alinkm. m may be an integer greater than 2. The energy aggregation management module 210, the central energy storage module 220 and the multiple central ports may be based on a DC bus 201, such as a 10kV bus of a distribution network, and electrically connected to the distribution network. The first central port Alink1, the second central port Alink2, ... the m-1th central port Alinkm-1, and the m-th central port Alinkm may correspond to m charging stations respectively, and the m charging stations may each be electrically connected to the candidate aggregation center 200 by accessing the central port. For example, the central port may receive power demand information and send power supply information, and the central port may also realize power interaction between the charging station and the candidate aggregation center 200, thereby realizing power interaction and information interaction between the charging station and the candidate aggregation center 200. The center port can be designed based on the power electronic port.

[0035] like Figure 2 As shown, the energy aggregation management module 210 can be used to execute the power distribution optimization function to process the power demand information to obtain the power supply information of each of the m charging stations. The m power supply information can be sent to the m charging stations based on the first central port Alink1, the second central port Alink2, ... the m-1th central port Alinkm-1, and the mth central port Alinkm.

[0036] like Figure 2 As shown, the central energy storage module 220 can be used to store electric energy, for example, it can store electric energy transmitted by the distribution network, or it can also store other types of electric energy such as photovoltaic output and wind power output, and it can be used to balance the power exchange between multiple charging stations. The DC bus 201 can be based on one or more power ports as physical access nodes, and can be friendly connected to the distribution network based on the 10kV bus of the distribution network.

[0037] In one embodiment, the energy aggregation management module 210 of the candidate aggregation center (or ACenter) can be used to interconnect information and power in the energy flow and information flow with the connected charging stations. The energy aggregation management module 210 can calculate the interactive power between each central port of Acenter and the distribution network, the connected charging station, and the real-time power of internal energy storage charging and discharging, and maintain the power balance of the candidate aggregation center 200. For example, based on the requirements of Kirchhoff's law, Acenter can make the real-time power between the candidate aggregation center 200 and the distribution network and the charging station satisfy the following formula (1).

[0038] (1);

[0039] Where: P ALink i is the exchange power between the candidate aggregation center 200 and the charging station through the i-th center port ALinki, i=1,2,...m, m is the number of charging stations interconnected with the candidate aggregation center 200; P AES Output power to the central energy storage module 220 of the candidate aggregation center 200; DN It is the power exchange power between the candidate aggregation center 200 and the 10kV busbar of the distribution network.

[0040] Figure 3 A schematic diagram of a charging station according to an embodiment of the present invention is shown.

[0041] like Figure 3 As shown, the charging station 300 includes a station-level energy management module 310, a station-level DC bus 320, a photovoltaic output module 330, a station-level energy storage module 340 and multiple station-level ports. The multiple station-level ports may include the first station-level port SLink1, the second station-level port Slink2, ... the n-1th station-level port Slinkn-1, and the nth station-level port Slinkn. The charging station 300 can be electrically connected to n candidate aggregation centers based on the n station-level ports. The charging station 300 can be electrically connected to multiple charging piles based on the station-level DC bus 320 to facilitate power supply to the vehicle through the charging piles.

[0042] The station-level energy management module 310 can control the communication between the charging station 300 and the charging pile, the photovoltaic output module 330, and the station-level energy storage module 340, as well as the transmission of control instructions. It can also control the communication interaction with the candidate aggregation center through the communication loop (optical fiber, 4G / 5G, wireless public network, etc.) connected to the station-level port. For example, the station-level energy management module 310 can generate power demand information and control the transmission of power demand information. It can also be used to control the power demand information or power supply information to meet the power balance shown in formula (2).

[0043] (2);

[0044] In formula (2), P SLinki is the power exchanged between the charging station 300 and the candidate aggregation center through the i-th station-level port, P Slinki It can be determined based on the power demand information, or it can also be determined based on the power supply information, i=1,2,...n, n is the number of candidate aggregation centers interconnected with the charging station 300; P SPV P is the power output of the photovoltaic output module 330 of the charging station 300; SES The power output of the station-level energy storage module 340 of the charging station 300; The charging station 300 can provide the required charging power for all the charging piles of the vehicles.

[0045] According to an embodiment of the present invention, the station-level port of the charging station can be constructed based on an AC / DC (alternating current / direct current) or DC / DC (direct current / direct current) power electronic converter to facilitate flexible control of interactive power. The station-level port can also be used to electrically connect to the DC bus in the charging station, so that the charging station is not directly connected to the distribution network, but is connected to the distribution network through the candidate aggregation center ACenter. A charging station can be connected to multiple different candidate aggregation centers Acenter. This allows the charging station to select the hardware power supply conditions of multiple different aggregators based on the power supply information, increasing the flexibility of the charging station operation.

[0046] In one embodiment, the charging pile electrically connected to the charging station may be a DC charging pile.

[0047] In one embodiment, the photovoltaic output modules, energy storage batteries, data servers, etc. in the charging station can also be powered by DC, so a DC bus can be used as the power supply medium in the charging station.

[0048] According to an embodiment of the present invention, the charging station is further configured to: determine a target aggregation center from the plurality of candidate aggregation centers based on the power supply amounts and / or power supply exchange values ​​respectively sent by the plurality of candidate aggregation centers.

[0049] According to an embodiment of the present invention, the power supply information includes at least one of the power supply amount and the power supply exchange value. The power demand information may also include at least one of the power supply amount and the power supply exchange value. Alternatively, the power demand information may only include the power demand period, the power demand identifier, etc.

[0050] According to an embodiment of the present invention, the power supply exchange value may include power price, power supply points, etc. The power supply amount may be determined based on power parameters such as electric power and voltage.

[0051] In one example, the power distribution optimization function may process at least one of the power demand and the power demand exchange value to obtain power supply information.

[0052] In one example, the processor of the charging station may determine the power supply exchange value that satisfies the exchange value condition and determine the target aggregation center by comparing the power supply exchange values ​​respectively sent by a plurality of candidate aggregation centers.

[0053] In one example, the processor of the charging station can determine the power supply that meets the power demand condition and determine the target aggregation center by comparing the power supply sent by each of the multiple candidate aggregation centers.

[0054] In one example, the processor of the charging station can determine the power supply information that meets at least one of the power demand condition and the exchange value condition by comparing the power supply amount and the power supply exchange value sent by multiple candidate aggregation centers, and determine the target aggregation center.

[0055] It should be noted that the power demand conditions and exchange value conditions in the above examples can be static conditions pre-configured by the charging station, or can be dynamic conditions determined by the charging station based on the power demand and power exchange value interval of the charging pile in a specified time period. The embodiments of the present invention do not limit the specific setting method of the power demand conditions and the exchange value conditions.

[0056] In one example, the power demand information generated by the charging station can be determined based on the cumulative sum of the charging demand powers indicated by multiple charging piles, and the charging demand power can be the charging power required by the charging piles in a preset period of time. The power supply information may include the power supply and / or power supply price that the candidate aggregation center can provide to the charging station. The charging station can determine the target aggregation center based on the power supply and / or power supply price sent by multiple candidate aggregation centers. In this way, the target aggregation center can supply power to the charging station according to the power supply price and / or power supply corresponding to the charging station to meet the charging demand service of the charging station for the connected vehicles.

[0057] According to an embodiment of the present invention, the power distribution optimization function comprises a first optimization function.

[0058] According to an embodiment of the present invention, the first optimization function can be constructed based on power collection constraints and a power collection optimization sub-function, and the power collection optimization sub-function represents maximizing the amount of electricity collected by the candidate aggregation center from the distribution network.

[0059] According to an embodiment of the present invention, the candidate aggregation center can determine the amount of electricity that the candidate aggregation center can collect from the distribution network based on the connection between the power supply node of the distribution network and the distribution network, and based on the current operating state parameters of the power supply node of the distribution network.

[0060] In one example, the power collection optimization sub-function can be characterized based on the following formula (3), and the power collection constraint condition can be characterized based on formula (4).

[0061] (3);

[0062] (4);

[0063] In formulas (3) and (4), Yds is the amount of electricity collected from the distribution network, OPT_DS is the global optimization function of the distribution network, which is used to process the distribution network operation status parameters, Xds may include distribution network operation status parameter variables, OPERA_DS is the distribution network safety operation function, and Gds is the distribution network line capacity, distribution network rated power supply parameters, and other distribution network access node parameter preset values ​​or parameter preset vectors.

[0064] In one example, the first optimization function may further include an electric quantity interaction constraint condition, which may indicate that the electric quantity collected (or received) by the candidate aggregation center in the current round is greater than or equal to the cumulative sum of the electric energy supply obtained by solving the current round. The current round may indicate the round of solving the first optimization function.

[0065] According to an embodiment of the present invention, the operating status of the distribution network or the power transaction guidance exchange value can be used as a constraint condition of the first optimization function to optimize the amount of electric energy received by the candidate aggregation center from the access node of the distribution network, and the electric energy supply information such as the electric energy supply exchange value and the electric energy supply amount can be determined by solving the first optimization function, so as to respond to the electric energy demand information of the charging station based on the electric energy supply information, and guide the charging station to select a suitable candidate aggregation center as the target aggregation center for power supply, so as to balance the electric energy interacting between the distribution network and the charging station, and improve the operating efficiency and stability of the distribution network and the charging station.

[0066] According to an embodiment of the present invention, the electric energy distribution optimization function may further include a second optimization function, which is constructed based on a center revenue optimization sub-function and a center electric energy balance constraint condition. The center revenue optimization sub-function represents the maximization of the electric energy supply revenue of the candidate aggregation center, and the center electric energy balance constraint condition is used to constrain the electric power balance between the candidate aggregation center and the associated charging stations.

[0067] According to an embodiment of the present invention, the associated charging station is electrically connected to the candidate aggregation center. For ease of description, in an embodiment of the present invention, the charging station electrically connected to the candidate aggregation center can be regarded as the associated charging station.

[0068] According to an embodiment of the present invention, the power supply benefit can be determined based on at least one of the power supply quantity and the power supply exchange value, and the central power balance condition may include that the cumulative sum of the power supply quantities provided to the associated charging stations is less than or equal to the set capacity of the outgoing medium between the candidate aggregation center and the associated charging stations.

[0069] In one example, the central power balance condition may also include the cumulative sum of the power supply provided to the associated charging stations, and the sum of the central power storage capacity of the candidate aggregation center is greater than or equal to less than or equal to the set capacity of the outgoing medium between the candidate aggregation center and the associated charging stations.

[0070] In one example, the center revenue optimization sub-function can be expressed based on the following formula (5), and the center power balance constraint condition can be expressed based on the following formula (6);

[0071] (5);

[0072] (6);

[0073] In the above formulas (5) and (6), Yac is the quantitative value of the power revenue optimization target of the aggregation center, and P_Alink can represent at least one of the power supply quantity variable and the power supply exchange value variable corresponding to each charging station. OPT_AC can be a revenue optimization function. For example, the revenue optimization function can be an accumulation function, and P_Alink can be the product of the power supply quantity variable and the power supply exchange value variable. Xac is the power state variable of the access port between the candidate aggregation center and the associated charging station, BALANCE_AC is the power balance function, and Gac is the parameter limit value vector of the maximum power of the power stored in the candidate aggregation center.

[0074] It should be noted that the embodiments of the present invention may perform a solution operation on the first optimization function and the second optimization function based on any algorithm, and the embodiments of the present invention are not limited to this.

[0075] According to an embodiment of the present invention, the center revenue optimization sub-function is constructed based on the associated power supply information corresponding to each of the plurality of associated charging stations. The associated power supply information includes the associated power supply amount and the associated power supply exchange value.

[0076] For example, in formula (5), OPT_AC may be an accumulation function, and P_Alink may be the product of the associated power supply amount variable and the associated power supply exchange value variable.

[0077] According to an embodiment of the present invention, the candidate aggregation center is further configured as follows: the candidate aggregation center is configured to iteratively perform a solution operation until a preset solution condition is met, and the solution operation includes the following j-th solution operation: according to the power collection constraint condition, the j-1th intermediate associated power supply and the distribution network operation parameters of the distribution network in the specified time period, solve the power collection optimization subfunction to obtain the j-th intermediate center power reception; according to the j-th intermediate center power reception, determine the j-th intermediate associated power supply corresponding to each of the multiple associated charging stations; according to the central power balance constraint condition and the multiple j-th intermediate associated power supply, solve the central revenue optimization subfunction to obtain the j-th intermediate associated power supply exchange value corresponding to each of the multiple associated charging stations; when the preset solution condition is met, determine the power supply information of each of the multiple associated charging stations according to the J-th intermediate associated power supply and the J-th intermediate associated power supply exchange value corresponding to each of the multiple associated charging stations, J≥j>1, and J and j are integers.

[0078] According to an embodiment of the present invention, the j-th round of solution operation can be performed based on the processor of the candidate aggregation center. The preset solution condition may include that the number of rounds of solution operation reaches a preset round threshold, or may also include that any one of the intermediate associated power supply amount and the intermediate associated power supply exchange value converges, or may also include that the product between the intermediate associated power supply amount and the intermediate associated power supply exchange value converges as the center benefit value. The embodiment of the present invention does not limit the specific setting method of the preset solution condition.

[0079] According to an embodiment of the present invention, in the j-th solving operation, the power collection optimization subfunction can be solved based on the power collection constraint, the power interaction constraint, the j-1th intermediate associated power supply, and the distribution network operation parameters of the distribution network in the specified time period. For example, the above formula (4) and the power interaction constraint can be used as constraint conditions to solve formula (3) to obtain the power collected by the candidate aggregation center from the distribution network, and then the associated demand power of the associated power demand information of each associated charging station can be used as a weight to determine the j-th intermediate associated power supply of each associated charging station.

[0080] According to an embodiment of the present invention, in the j-th solving operation, according to the central power balance constraint condition and the multiple j-th intermediate associated power supply quantities, the central revenue optimization sub-function is solved to obtain the j-th intermediate associated power supply exchange value corresponding to each of the multiple associated charging stations, which may include: based on the above formula (6) as a constraint condition, the multiple j-th intermediate associated power supply quantities are input into the central revenue optimization sub-function of formula (5), and then the j-th intermediate associated power supply exchange value is solved.

[0081] According to an embodiment of the present invention, the first intermediate associated power supply is determined based on the power demand information sent by the associated charging station, and the power demand information is determined based on the power demand instruction instructing the vehicle to access the associated charging station for charging. For example, the total power demand of each of the multiple vehicles accessing the charging station can be determined based on the power demand instruction of the vehicle accessed by the associated charging station, thereby obtaining the associated power demand in the power demand information. The candidate aggregation center can use the associated power demand of the associated charging station as the first intermediate associated power supply for the first round of solution operation.

[0082] According to an embodiment of the present invention, the charging station is further configured to: process the power supply information sent from the target aggregation center based on the station-level optimization function, obtain charging guidance information corresponding to multiple charging station ports, and supply power to the vehicle in response to a charging response signal determined by the vehicle based on the charging guidance information.

[0083] According to an embodiment of the present invention, the charging guidance information may include a guidance exchange value and / or a guidance power parameter.

[0084] According to an embodiment of the present invention, the guided electric energy parameter includes at least one of the following: guided power, guided power, and guided charging time.

[0085] According to an embodiment of the present invention, the guided power may indicate the electric power value or electric power range that the charging station supplies to the vehicle. The guided power may indicate the charging power that the charging station can provide to the vehicle, and the guided charging duration may represent the service duration or service period that the charging station can provide charging services to the vehicle.

[0086] In an example, the charging guidance information may only include the guidance exchange value, which may represent the information for exchange such as the electricity price and points that the vehicle needs to provide for the charging transaction.

[0087] In one example, the charging guidance information may include guidance power parameters, for example, any one or more of guidance power, guidance power, and guidance charging duration.

[0088] According to an embodiment of the present invention, a station-level optimization function is constructed based on a station-level revenue optimization sub-function and a station-level power balance condition. The station-level revenue optimization sub-function is used to maximize the power supply revenue of the charging station. The power supply revenue is determined based on the associated guided exchange value and guided power parameters. The station-level power balance condition is used to constrain the electric power balance between the charging station and the vehicles receiving the power supply service.

[0089] According to an embodiment of the present invention, the power supply revenue can be determined based on the associated guided power supply amount and guided exchange value. For example, for a specified charging pile, the charging station can send a guided signal corresponding to the charging pile, and the guided signal can include a guided power supply amount and a guided exchange value. Based on the guided power supply amount and the guided exchange value, the charging pile revenue generated by the charging station providing charging services to the vehicle connected to the charging pile can be determined. The charging pile revenue corresponding to multiple charging piles connected to the charging station is accumulated to obtain the power supply revenue of the charging station.

[0090] It should be understood that the charging station port may be an electronic port connected to a charging pile.

[0091] In one example, the station-level optimization function may be expressed based on the following formulas (7) to (9).

[0092] (7);

[0093] (8);

[0094] (9);

[0095] Formulas (7) to (9) are used to represent the station-level revenue optimization sub-function. Formula (9) represents the station-level power balance condition. P_Slink represents the station-level power reception information obtained by the charging station from the candidate aggregation center. P_Slink can be determined based on formula (8), and ∆link can represent the power information correction value between the candidate aggregation center and the charging station. For example, the power information deviation value can include a power exchange amount correction value, a power transaction exchange value correction value, and the like. The power exchange amount correction value can be used to represent the power loss generated by the power exchange between the candidate aggregation center and the charging station, and the power transaction exchange value correction value can represent the transaction price difference between the candidate aggregation center and the charging station. In formulas (7) to (9), Ys is the power supply revenue optimization target of the charging station, OPT_S is the operating revenue optimization function of the power supply station, Xs is the power state variable of each port in the charging station, BALANCE_S is the power balance function of the charging station, and Gs is the parameter limit value vector such as the maximum power of the DC bus of the charging station.

[0096] In one example, the charging station can determine the corresponding guidance exchange values ​​of multiple candidate aggregation centers based on the power supply information sent by each candidate aggregation center, and determine the target aggregation center from the multiple candidate aggregation centers according to the guidance exchange value. In this way, the receiving and power supply mode suitable for the operation of the charging station can be determined according to the power supply information of multiple candidate aggregation centers in a specified period of time, so as to improve the overall operation efficiency of the charging station service.

[0097] According to an embodiment of the present invention, the charging station can also be connected to a variety of power supply modules such as photovoltaic output modules and electric energy storage modules. The station-level optimization function can be used to process the electric energy supply information provided by the power supply module and the electric energy supply information provided by the target aggregation center, so as to determine the charging guidance information of each charging station port, so as to enable the charging station to reasonably distribute the diversified energy supply to different charging station ports, thereby improving the utilization rate of new energy supply such as photovoltaic output.

[0098] According to an embodiment of the present invention, the charging station determines the charging guidance information according to the power supply information of the aggregation center. Under the condition of electric power balance between the charging station and the distribution network, the charging guidance information can be sent to the vehicles corresponding to each charging station port, so as to adjust the charging behavior of each vehicle that needs to be charged and guide it reasonably, avoid power overload in the distribution network, and improve the operational stability of the charging station.

[0099] According to an embodiment of the present invention, the station-level power balance condition is further used to constrain the difference between the guided charging power determined based on the guided power parameters and the storage power of the charging station to be less than or equal to the central power supply transmitted by the target aggregation center.

[0100] In one example, the station-level balance condition may also be determined based on the following formula (10):

[0101] st Guiding charging capacity - storage capacity ≤ central power supply (10).

[0102] By using the above formula (10) and formula (9) to determine the station-level power balance condition, it is possible to constrain the charging station to obtain power from the target aggregation center not higher than the power currently required by the charging station, and to ensure power balance between the charging station and the charging station port, so as to improve the safety and adaptability of the charging service of the charging station and reduce the power load pressure.

[0103] According to an embodiment of the present invention, the station-level revenue optimization sub-function may further include associated equipment discharge exchange values ​​and equipment discharge information, and associated guide exchange values ​​and guide power parameters.

[0104] According to an embodiment of the present invention, the device discharge information is determined based on a device discharge request sent by an energy storage device electrically connected to the charging station. The energy storage device may be connected to the charging station based on a charging station port, and the energy storage device may include, for example, a vehicle, a generator, and the like that requires electrical energy. The device discharge information may include the amount of electricity that the energy storage device needs to reversely provide to the charging station, and the device discharge exchange value may include the exchange value that the charging station or other vehicles need to provide to the energy storage device. The energy storage device may be connected to the charging station through the charging station port according to actual needs, and then reversely supply power to the charging station to achieve revenue. By obtaining the electrical energy released by the energy storage device, the charging station can further reduce the amount of electricity obtained from the distribution network, so as to reduce the demand for the operating load of the distribution network, reduce the load pressure of the distribution network, and flexibly trade electricity by connecting to the energy storage device to adapt to the diverse charging station service methods.

[0105] According to an embodiment of the present invention, the charging station is further configured to solve the station-level revenue optimization sub-function based on the station-level power balance condition, equipment discharge information, and the associated guided exchange value and guided power parameters to obtain the equipment discharge guided exchange value.

[0106] According to an embodiment of the present invention, the device discharge guidance exchange value is used to indicate the power supply of the energy storage device and the vehicle electrically connected to the charging station. The device discharge guidance exchange value can prompt the vehicle to charge based on the electric energy reversely provided by the energy storage device, thereby saving the load pressure of the distribution network, and enabling a variety of devices to flexibly and conveniently access the charging service network set up by the charging station port based on the charging station, so that the charging station can realize the closed loop of charging services and realize flexible access to the distribution network.

[0107] In one example, the device discharge information, as well as the associated guide exchange value and guide power parameter may be processed using formulas (7) to (10) to obtain the device discharge guide exchange value.

[0108] The following will be described through specific embodiments and comparative examples, as well as Figures 4 to 5. Figure 6 Hereinafter, a distributed power supply system based on a charging station group provided in an embodiment of the present invention will be introduced.

[0109] Figure 4A A schematic diagram of the principle of a first distributed power supply system based on a charging station group according to an embodiment of the present invention is shown.

[0110] Figure 4B A photovoltaic power generation curve diagram of a first distributed power supply system based on a charging station group according to an embodiment of the present invention is shown.

[0111] Figure 4C A daily curve chart of charging load of a charging station of a first distributed power supply system based on a charging station group according to an embodiment of the present invention is shown.

[0112] Figure 5 A schematic diagram of the principle of a distributed power supply system based on a charging station group according to a comparative example of the present invention is shown.

[0113] Figure 6 A load curve comparison diagram between a first distributed power supply system based on a charging station group according to an embodiment of the present invention and a second distributed power supply system based on a charging station group according to a comparative example is shown.

[0114] like Figure 4A As shown, the first distributed power supply system 400 based on a charging station group includes: multiple charging stations and multiple candidate aggregation centers. The multiple charging stations may include S41 charging station, S42 charging station, S43 charging station, S44 charging station, S45 charging station, S46 charging station, S47 charging station, S48 charging station and S49 charging station. The multiple candidate aggregation centers may include A41 aggregation center, A42 aggregation center, A43 aggregation center and A44 aggregation center. The S44 charging station is electrically connected to the A41 aggregation center and the A43 aggregation center, the S45 charging station is electrically connected to the A41 aggregation center, the A42 aggregation center, the A43 aggregation center and the A44 aggregation center, and the S46 charging station is electrically connected to the A42 aggregation center and the A44 aggregation center. The A41 aggregation center can be electrically connected to the 110kV busbar of the distribution network based on the first access node 401, the A42 aggregation center can be electrically connected to the 110kV busbar of the distribution network based on the second access node 402, the A43 aggregation center can be electrically connected to the 110kV busbar of the distribution network based on the third access node 403, the A44 aggregation center can be electrically connected to the 110kV busbar of the distribution network based on the fourth access node 404, and multiple candidate aggregation centers can be electrically connected to the distribution network based on the 110kV busbar of the distribution network.

[0115] like Figure 4A As shown, the S44 charging station can send power demand information to the A41 aggregation center and the A43 aggregation center respectively. The A41 aggregation center can receive the power demand information from the S41 charging station, the S42 charging station, the S44 charging station, and the S45 charging station. Accordingly, the A41 aggregation center can also use the power distribution optimization function to process the power demand information from the S41 charging station, the S42 charging station, the S44 charging station, and the S45 charging station to obtain the power supply information of the S41 charging station, the S42 charging station, the S44 charging station, and the S45 charging station, and send the power supply information of the S41 charging station, the S42 charging station, the S44 charging station, and the S45 charging station to the corresponding charging station.

[0116] Combination Figure 4A and Figure 4BAs shown, each of the 9 charging stations of the first distributed power supply system 400 based on a charging station group includes a photovoltaic output of 500kW, a power storage module storing 200kW / 0.4MWh, and a charging power provided by the charging pile of 2MW. The first distributed power supply system 400 based on a charging station group includes 2 access lines corresponding to access nodes, each with a capacity of 8MWA, and the candidate aggregation centers are each configured with an energy storage module with a storage power parameter of 500kW / 1MW. Assuming that the first distributed power supply system 400 based on a charging station group has no other loads except the 9 charging stations, the photovoltaic daily power generation (output) curve of the first distributed power supply system 400 based on a charging station group is as shown in the figure. Figure 4B As shown in the curve graph.

[0117] Combination Figure 4A and Figure 4C As shown, the daily charging load curve parameters of the nine charging stations of the first distributed power supply system 400 based on the charging station group can be referred to Figure 4C As shown in the graph shown.

[0118] like Figure 5 As shown, the second distributed power supply system 500 based on a charging station group in the comparative example may include S51 charging station, S52 charging station, S53 charging station, S54 charging station, S55 charging station, S56 charging station, S57 charging station, S58 charging station and S59 charging station. S51 charging station, S52 charging station, S53 charging station, S54 charging station, S55 charging station, S56 charging station, S57 charging station, S58 charging station and S59 charging station are directly connected to the 110kV bus of the distribution network without passing through the candidate aggregation center. The difference between the second distributed power supply system 500 based on a charging station group and the first distributed power supply system 400 based on a charging station group is that the charging station is directly connected to the distribution network in the form of AC power supply.

[0119] Combination FIG. 4A to FIG. 6 As shown, Scheme 1 may represent a daily load curve after a first distributed power supply system 400 based on a charging station group is connected to a distribution network, and Scheme 2 may represent a daily load curve after a second distributed power supply system 500 based on a charging station group is connected to a distribution network.

[0120] Comparison of the peak-to-valley difference rate of the total daily load of the access point. The first distributed power supply system 400 based on the charging station group realizes the access of the charging station to the distribution network based on direct current through the candidate aggregation center. The charging station in the second distributed power supply system 500 based on the charging station group is connected to the distribution network based on traditional distribution transformers. Since the number of access nodes connected to the distribution network in the first distributed power supply system 400 based on the charging station group is different from the number of access nodes in the second distributed power supply system 500 based on the charging station group, the comparability of the electric energy load of the access nodes is poor. Therefore, the load curves of each access node of the first distributed power supply system 400 based on the charging station group and the second distributed power supply system 500 based on the charging station group are normalized to make Figure 4C Upper middle load value = actual load / maximum load in a day*100%. Figure 4C It can be seen from the curve that the peak-to-valley difference rate of the access point of scheme 1 (the first distributed power supply system 400 based on the charging station group) is 29%, and the peak-to-valley difference rate of scheme 2 (the second distributed power supply system 500 based on the charging station group) is 47%. Scheme 1 (the first distributed power supply system 400 based on the charging station group) is better than scheme 2 (the second distributed power supply system 500 based on the charging station group). The distributed power supply system based on the charging station group provided in the embodiment of the present invention can make the load curve of the distribution network smoother, so as to improve the utilization rate of the distribution network equipment.

[0121] According to an embodiment of the present invention, the distributed power supply system based on a charging station group provided in the embodiment of the present invention can be an access node of a distribution network after multiple charging stations are connected to the distribution network, which can reduce the peak-to-valley difference of the total load of the distribution network, thereby improving the stable operation of the distribution network and realizing high-quality application of electric energy.

[0122] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions. It can be understood by those skilled in the art that the features recorded in the various embodiments of the present invention can be combined and / or combined in various ways, even if such a combination or combination is not explicitly recorded in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features recorded in the various embodiments of the present invention can be combined and / or combined in various ways. All these combinations and / or combinations fall within the scope of the present invention.

[0123] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination advantageously. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A distributed power supply system based on a charging station group, characterized in that: include: Multiple charging stations; A plurality of candidate aggregation centers are electrically connected to the power distribution network, at least one of the candidate aggregation centers is electrically connected to the plurality of charging stations, and at least one of the charging stations is electrically connected to at least two of the plurality of candidate aggregation centers; The candidate aggregation center is configured to process the power demand information from the charging stations based on a power distribution optimization function to obtain the power supply information of each charging station, and the power distribution optimization function is constructed according to the power collection constraint condition for constraining the power balance between the candidate aggregation center and the distribution network; The charging station is further configured to determine a target aggregation center based on the power supply information respectively transmitted by the plurality of candidate aggregation centers; and to supply power to the vehicle based on the power transmitted by the target aggregation center; The charging station is further configured to determine a target aggregation center from multiple candidate aggregation centers based on the power supply amount and / or power supply exchange value sent by each of the multiple candidate aggregation centers, and the power supply information includes at least one of the power supply amount and the power supply exchange value.

2. The system according to claim 1, characterized in that The power distribution optimization function includes a first optimization function; The first optimization function is constructed based on the power collection constraint condition and the power collection optimization sub-function, and the power collection optimization sub-function represents the maximization of the amount of electricity collected by the candidate aggregation center from the distribution network.

3. The system according to claim 2, characterized in that The electric energy distribution optimization function also includes a second optimization function, which is constructed based on a center profit optimization sub-function and a center electric energy balance constraint condition. The center profit optimization sub-function represents the maximization of the electric energy supply profit of the candidate aggregation center. The center electric energy balance constraint condition is used to constrain the electric power balance between the candidate aggregation center and the associated charging stations, and the associated charging stations are electrically connected to the candidate aggregation center.

4. The system according to claim 3, characterized in that The center revenue optimization sub-function is constructed based on the associated power supply information corresponding to each of the plurality of associated charging stations, wherein the associated power supply information includes an associated power supply amount and an associated power supply exchange value; Wherein, the candidate aggregation center is further configured as: The candidate aggregation center is configured to iteratively perform a solution operation until a preset solution condition is satisfied, and the solution operation includes the following j-th solution operation: Solving the power collection optimization subfunction according to the power collection constraint condition, the j-1th intermediate associated power supply and the distribution network operation parameters of the distribution network in the specified time period to obtain the jth intermediate center power reception amount; Determining the jth intermediate associated power supply amounts corresponding to each of the plurality of associated charging stations according to the jth intermediate center power reception amount; Solving the central revenue optimization subfunction according to the central power balance constraint condition and the multiple j-th intermediate associated power supply amounts to obtain the j-th intermediate associated power supply exchange value corresponding to each of the multiple associated charging stations; When the preset solution condition is met, the power supply information of each of the multiple associated charging stations is determined according to the Jth intermediate associated power supply amount and the Jth intermediate associated power supply exchange value corresponding to each of the multiple associated charging stations, J≥j>1, and J and j are integers.

5. The system according to claim 4, characterized in that The first intermediate associated electric energy supply amount is determined based on electric energy demand information transmitted by the associated charging station, and the electric energy demand information is determined based on an electric energy demand instruction instructing the vehicle to access the associated charging station for charging.

6. The system according to claim 1, characterized in that The charging station is further configured to: process the power supply information sent from the target aggregation center based on the station-level optimization function to obtain charging guidance information corresponding to a plurality of charging station ports, and supply power to the vehicle in response to a charging response signal determined by the vehicle based on the charging guidance information; Among them, the station-level optimization function is constructed based on the station-level revenue optimization sub-function and the station-level electric energy balance condition, the station-level revenue optimization sub-function is used to maximize the power supply revenue of the charging station, the power supply revenue is determined based on the associated guide exchange value and guide electric energy parameter, the station-level electric energy balance condition is used to constrain the electric power balance between the charging station and the vehicle receiving the power supply service, and the charging guidance information includes the guide exchange value and / or the guide electric energy parameter.

7. The system according to claim 6, characterized in that The guided electric energy parameter includes at least one of the following: Guide power, guide power, guide charging time.

8. The system according to claim 6, characterized in that The station-level revenue optimization sub-function includes an associated device discharge exchange value and device discharge information, and the associated guide exchange value and guide power parameter, wherein the device discharge information is determined based on a device discharge request sent by an energy storage device electrically connected to the charging station; The charging station is further configured to solve the station-level revenue optimization sub-function based on the station-level power balance condition, the device discharge information, and the associated guide exchange value and guide power parameter to obtain the device discharge guide exchange value, wherein the device discharge guide exchange value is used to indicate the power supply of the energy storage device and the vehicle electrically connected to the charging station.

9. The system according to claim 6, characterized in that The station-level power balance condition is further used to constrain the difference between the guided charging power determined based on the guided power parameter and the storage power of the charging station to be less than or equal to the central power supply transmitted by the target aggregation center.

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