A method and system for managing electric energy dispatching and distribution based on vehicle-grid interaction

By inducing electric vehicles to go to the discharge station for discharge online and allocating the discharged electric energy scheduling to the demander, the problem of difficult to meet the additional demand for electricity in the distribution network is solved, the timeliness and efficiency of electric energy scheduling is achieved, and the car owner's discharge awareness is cultivated.

CN119204531BActive Publication Date: 2025-04-04STATE GRID SHANDONG ELECTRIC POWER CO +2
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Patent Information

Application Number
CN202411270318.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-11
Publication Date
2025-04-04
Estimated Expiration
2044-09-11

AI Technical Summary

Technical Problem

The additional demand for electricity generated by the demand side in the distribution network is difficult to meet in a timely manner, especially due to the discontinuity of electric vehicle discharge stations and the uneven discharge awareness of car owners.

Method used

By monitoring the additional demand for electricity in the distribution network, using urban traffic maps and site distribution of discharge stations, electric vehicles are induced to go to the discharge station for discharge online, and the discharged electric energy dispatch is allocated to the demand side, cultivating the discharge awareness of car owners.

Benefits of technology

The demand party has achieved the goal of obtaining the power dispatching and distribution in a timely manner, improving the efficiency and reliability of power dispatching, and cultivating the discharge awareness of electric vehicle owners.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention provides a method and system for managing electric energy dispatching and distribution based on vehicle-grid interaction, wherein the method includes: when it is monitored that there is an additional demand for electric energy generated by a demander in the distribution network, based on the additional demand for electric energy, according to the site distribution of the discharge stations pre-connected with the demander in the distribution network and the urban traffic map, online inducing electric vehicles to go to the discharge station for discharge; controlling the distribution network to dispatch and distribute the electric energy discharged by the electric vehicle received by the discharge station to the demander. The method and system for dispatching and distributing electric energy based on vehicle-grid interaction of the present invention ensures that the demander obtains the corresponding dispatching and distribution of electric energy in a timely manner. Secondly, the discharge induction will also cultivate the discharge awareness of the owners of electric vehicles, further ensuring that the demander obtains the corresponding dispatching and distribution of electric energy in a timely manner.
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Description

Technical Field

[0001] The present invention relates to the technical field of electric energy dispatching and distribution management, and in particular to an electric energy dispatching and distribution management method and system based on vehicle-grid interaction. Background Art

[0002] At present, emergency and sudden demand parties often generate additional electricity demand in the distribution network. For example, a certain electricity user is about to hold a large-scale performance. In order to avoid the impact of abnormal power outages on the performance, it is necessary to reserve electricity in advance as a backup power supply method after the abnormal power outage. The electricity reserve amount is the additional demand.

[0003] With the development of V2G technology for electric vehicles, the electric energy of electric vehicles can be discharged into the distribution network and dispatched and allocated to the demand side. However, the demand side is often pre-equipped with a fixed discharge station, that is, the electric energy discharged by the electric vehicle received by the discharge station will only be provided to the demand side. However, the discharge station may not always have electric vehicles discharging continuously, which may cause the demand side to be unable to obtain the corresponding electric energy dispatch and allocation in a timely manner. In addition, the discharge awareness of electric vehicle owners varies, which to a certain extent will also cause the demand side to be unable to obtain the corresponding electric energy dispatch and allocation in a timely manner.

[0004] Therefore, a solution is urgently needed. Summary of the invention

[0005] One of the purposes of the present invention is to provide an electric energy dispatching and distribution management method based on vehicle-grid interaction. When it is monitored that there is an additional electric energy demand generated by a demander in the distribution network, based on the additional electric energy demand, according to the site distribution of the discharge stations pre-connected with the demander in the distribution network and the urban traffic map, the electric vehicle is induced online to go to the discharge station for discharge, and the distribution network is controlled to dispatch and distribute the electric energy discharged by the electric vehicle received by the discharge station to the demander, so as to ensure that the demander obtains the corresponding electric energy dispatching and distribution in time. Secondly, the discharge induction will also cultivate the discharge awareness of the electric vehicle owners, and further ensure that the demander obtains the corresponding electric energy dispatching and distribution in time.

[0006] An embodiment of the present invention provides a method for managing electric energy dispatching and distribution based on vehicle-grid interaction, comprising:

[0007] When it is detected that there is an additional demand for electricity from the demand side in the distribution network, based on the additional demand for electricity, according to the site distribution of the discharge stations pre-connected with the demand side in the distribution network and the urban traffic map, the electric vehicles are induced online to go to the discharge station for discharge;

[0008] The distribution network is controlled to dispatch and distribute the electric energy discharged by electric vehicles received by the discharge station to the demand side.

[0009] Preferably, based on the additional demand for electric energy, according to the site distribution of the discharge stations pre-connected with the demand side in the distribution network and the city traffic map, online inducing the electric vehicle to go to the discharge station for discharge includes:

[0010] Map the station distribution into the city traffic map to obtain multiple map station locations;

[0011] Traverse the locations of each map site in turn;

[0012] Each time the traversal is completed, a first target vehicle that meets the first vehicle condition is determined from the city traffic map;

[0013] Based on the first induction template, according to the traversed map site locations, the first target vehicle is online induced to go to the discharge station for discharge, and the first induction duration is counted;

[0014] When the first induction duration is greater than the first duration threshold and the sum of the discharge amounts of the accepted induction plan is less than the additional demand for electric energy, determining a second target vehicle that meets the second vehicle condition from the first target vehicles;

[0015] Based on the second induction template, according to the traversed map site locations, the second target vehicle is induced online to go to the discharge station for discharge, and the second induction duration is counted;

[0016] When the second induced duration is greater than the second duration threshold and the sum of the discharge amounts of the accepted induced plans is still less than the additional demand for electric energy, continue to traverse the next map site location.

[0017] Preferably, the first vehicle condition includes:

[0018] The straight-line distance between the current position of the first target vehicle and the traversed map site position is less than the distance threshold;

[0019] and,

[0020] The remaining electric energy of the first target vehicle is greater than the electric energy threshold.

[0021] Preferably, the second vehicle condition includes:

[0022] The second target vehicle has a fixed navigation route, and the route length of the difference segment between the fixed navigation route and the new navigation route after the map site location traversed to the fixed navigation route is added as a waypoint is less than the length threshold or a road abnormality event occurs on the difference segment;

[0023] or,

[0024] The second target vehicle does not have a fixed navigation route, and the regular driving route of the second target vehicle in the preset time before and after the current time in history passes through the nearest multi-select node of the fixed road currently traveled by the second target vehicle, and the route similarity between the local route starting from the nearest multi-select node on the regular driving route and the shortest route starting from the nearest multi-select node to the traversed map site location is greater than the similarity threshold;

[0025] or,

[0026] The second target vehicle does not have a fixed navigation route, and there are points of interest of the user of the second target vehicle within the target range; the target range includes: a circular range with a straight line connecting the current position of the second target vehicle to the traversed map site position as the diameter.

[0027] Preferably, the abnormal road events at least include: events that affect the normal passage of vehicles.

[0028] Preferably, the nearest multi-select node includes: a location that will be reached in the future and has multiple driving roads for driving selection.

[0029] Preferably, the first vehicle condition further includes:

[0030] The historical induced reputation value of the first-order vehicle is greater than the reputation threshold; the calculation formula of the historical induced reputation value of the first-order vehicle is as follows:

[0031] ,

[0032] in, is the historical induced reputation value of the first-order vehicle, , and is the preset weight value, is the total number of times the first target vehicle has received induction in history, The first target vehicle in history The speed of receiving induction, The total number of malicious rejections of induction in the history of the first target vehicle.

[0033] An embodiment of the present invention provides an electric energy dispatching and distribution management system based on vehicle-grid interaction, comprising:

[0034] The discharge induction module is used to, when it is detected that there is an additional demand for electric energy from the demand side in the distribution network, online induce the electric vehicle to go to the discharge station for discharge based on the additional demand for electric energy, the site distribution of the discharge station pre-connected with the demand side in the distribution network and the urban traffic map;

[0035] The dispatching and allocation module is used to control the distribution network to dispatch and allocate the electric energy discharged by the electric vehicles received by the discharge station to the demand side.

[0036] Preferably, the discharge induction module online induces the electric vehicle to go to the discharge station for discharge based on the additional demand for electric energy, according to the site distribution of the discharge stations pre-connected with the demand side in the distribution network and the city traffic map, including:

[0037] Map the station distribution into the city traffic map to obtain multiple map station locations;

[0038] Traverse the locations of each map site in turn;

[0039] Each time the traversal is completed, a first target vehicle that meets the first vehicle condition is determined from the city traffic map;

[0040] Based on the first induction template, according to the traversed map site locations, the first target vehicle is online induced to go to the discharge station for discharge, and the first induction duration is counted;

[0041] When the first induction duration is greater than the first duration threshold and the sum of the discharge amounts of the accepted induction plan is less than the additional demand for electric energy, determining a second target vehicle that meets the second vehicle condition from the first target vehicles;

[0042] Based on the second induction template, according to the traversed map site locations, the second target vehicle is induced online to go to the discharge station for discharge, and the second induction duration is counted;

[0043] When the second induced duration is greater than the second duration threshold and the sum of the discharge amounts of the accepted induced plans is still less than the additional demand for electric energy, continue to traverse the next map site location.

[0044] Preferably, the first vehicle condition includes:

[0045] The straight-line distance between the current position of the first target vehicle and the traversed map site position is less than the distance threshold;

[0046] and,

[0047] The remaining electric energy of the first target vehicle is greater than the electric energy threshold.

[0048] Preferably, the second vehicle condition includes:

[0049] The second target vehicle has a fixed navigation route, and the route length of the difference segment between the fixed navigation route and the new navigation route after the map site location traversed to the fixed navigation route is added as a waypoint is less than the length threshold or a road abnormality event occurs on the difference segment;

[0050] or,

[0051] The second target vehicle does not have a fixed navigation route, and the regular driving route of the second target vehicle in the preset time before and after the current time in history passes through the nearest multi-select node of the fixed road currently traveled by the second target vehicle, and the route similarity between the local route starting from the nearest multi-select node on the regular driving route and the shortest route starting from the nearest multi-select node to the traversed map site location is greater than the similarity threshold;

[0052] or,

[0053] The second target vehicle does not have a fixed navigation route, and there are points of interest of the user of the second target vehicle within the target range; the target range includes: a circular range with a straight line connecting the current position of the second target vehicle to the traversed map site position as the diameter.

[0054] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0055] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0057] Figure 1 A schematic diagram of an electric energy dispatching and allocation management method based on vehicle-grid interaction in an embodiment of the present invention;

[0058] Figure 2 Schematic diagram of an electric energy dispatching and distribution management system based on vehicle-grid interaction in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0060] The embodiment of the present invention provides a method for managing electric energy dispatching and distribution based on vehicle-grid interaction, such as Figure 1 As shown, including:

[0061] S1. When it is detected that there is an additional demand for electric energy from the demand side in the distribution network, based on the additional demand for electric energy, according to the site distribution of the discharge stations pre-connected with the demand side in the distribution network and the urban traffic map, the electric vehicles are induced online to go to the discharge station for discharge;

[0062] S2. Control the distribution network to dispatch and distribute the electric energy discharged by electric vehicles received by the discharge station to the demand side.

[0063] Site distribution refers to the distribution location of discharge stations; the city traffic map includes the current locations of different electric vehicles, abnormal traffic events occurring in the city, etc.; based on the additional demand for electric energy, according to the site distribution of discharge stations pre-connected with the demand side in the distribution network and the city traffic map, electric vehicles are induced online to go to the discharge station for discharge; it should be noted that the discharge induction is similar to the traffic induction in the prior art and is non-malicious induction; when the electric vehicle goes to the discharge station to discharge, the discharge station will receive the electric energy discharged by the electric vehicle, and control the distribution network to dispatch and distribute the electric energy to the demand side to meet the demand side's additional demand for electric energy.

[0064] When the present application detects that there is an additional demand for electric energy from a demand side in the distribution network, based on the additional demand for electric energy, according to the site distribution of the discharge stations pre-connected with the demand side in the distribution network and the urban traffic map, the electric vehicle is induced online to go to the discharge station for discharge, and the distribution network is controlled to dispatch and distribute the electric energy discharged by the electric vehicle received by the discharge station to the demand side, thereby ensuring that the demand side obtains the corresponding electric energy dispatch and distribution in a timely manner. Secondly, the discharge induction will also cultivate the discharge awareness of the owners of the electric vehicle, further ensuring that the demand side obtains the corresponding electric energy dispatch and distribution in a timely manner.

[0065] In one embodiment, based on the additional demand for electric energy, according to the site distribution of the discharge stations pre-connected with the demand side in the distribution network and the city traffic map, online inducing the electric vehicle to go to the discharge station for discharge includes:

[0066] Map the station distribution into the city traffic map to obtain multiple map station locations; the map station location is a map location in the city traffic map corresponding to the distribution location in the station distribution, and the map station location marks the location of the discharge station on the city traffic map;

[0067] Traverse the locations of each map site in turn;

[0068] Each time the traversal is completed, a first target vehicle that meets the first vehicle condition is determined from the city traffic map; the first target vehicle meets the first vehicle condition and can be preliminarily discharged and induced;

[0069] Based on the first induction template, according to the traversed map site location, the first target vehicle is induced online to go to the discharge station for discharge, and the first induction time is counted; the first induction template is a template for the system to refer to for preliminary discharge induction of the first target vehicle, specifically, for example: information is pushed to the first target vehicle to prompt it to go to the traversed map site location for discharge; the first induction time is the total time of online induction of the first target vehicle to go to the discharge station for discharge;

[0070] When the first induction duration is longer than the first duration threshold and the sum of the planned discharge amounts accepted for induction is less than the additional demand for electric energy, a second target vehicle that meets the second vehicle condition is determined from the first target vehicle; the first duration threshold may be 5 minutes; the sum of the planned discharge amounts accepted for induction is the sum of the planned discharge amounts replied by all electric vehicles that accept online induction to discharge at the map site location, which is continuously updated and calculated, and the planned discharge amount may be set by the driver of the electric vehicle, which is the amount of electric energy that he wants to discharge; when the first induction duration is longer than the first duration threshold and the sum of the planned discharge amounts accepted for induction is less than the additional demand for electric energy, it indicates that further induction is needed, and a second target vehicle that meets the second vehicle condition is determined from the first target vehicle; the second target vehicle meets the second vehicle condition and may be deeply induced;

[0071] Based on the second induction template, according to the traversed map site location, the second target vehicle is induced online to go to the discharge station for discharge, and the second induction time is counted; the second induction template is a template for the system to refer to for in-depth induction of the second target vehicle, specifically, for example: information is pushed to the second target vehicle to prompt that it is very suitable to go to the traversed map site location for discharge; the second induction time is the total time for online induction of the second target vehicle to go to the discharge station for discharge;

[0072] When the second induction time is greater than the second time threshold and the sum of the discharge amounts of the accepted induction plan is still less than the additional demand for electric energy, continue to traverse the next map site location; the second induction time can be 3 minutes; when the second target vehicle is deeply induced, the sum of the discharge amounts of the accepted induction plan will still be updated. If the sum of the discharge amounts of the accepted induction plan is still less than the additional demand for electric energy, it indicates that further induction is required, and continue to traverse the next map site location; the embodiment of the present invention first determines the first target vehicle that meets the first vehicle condition, and performs preliminary induction on the first target vehicle, which can reduce the system resources of deep induction as much as possible. When further induction is needed, the second target vehicle that meets the second vehicle condition is determined, and the second target vehicle is deeply induced to improve the induction effect;

[0073] The first vehicle condition includes:

[0074] The straight-line distance between the current position of the first target vehicle and the traversed map site position is less than a distance threshold; the distance threshold may be 2 kilometers;

[0075] and,

[0076] The remaining power of the first target vehicle is greater than the power threshold; the power threshold is a threshold representing that the first target vehicle has sufficient remaining power, which can be set in advance by a technician; when these two first vehicle conditions are met, it means that the first target vehicle is close to the discharge station, and the first target vehicle has sufficient remaining power for discharge, and can be used as an induction object for preliminary induction;

[0077] The second vehicle condition includes:

[0078] The second target vehicle has a fixed navigation route, and the route length of the difference segment between the fixed navigation route and the new navigation route after the fixed navigation route has the traversed map site location added as a waypoint is less than the length threshold or a road abnormality event occurs on the difference segment; the fixed navigation route refers to the navigation route generated by the driver of the second target vehicle using the vehicle system to navigate to the destination, and the second target vehicle will travel according to the fixed navigation route; the traversed map site location is added as a waypoint on the fixed navigation route, and the system will automatically plan a new navigation route; the difference segment is on the fixed navigation route, and the length threshold can be 100 meters. The route length of the difference segment is less than the length threshold, indicating that the second target vehicle's temporary visit to the traversed map site location has little impact on its original journey; if the second target vehicle will go to the traversed map site location, it will start to go to the traversed map site location before traveling along the difference segment. If a road abnormality event occurs on the difference segment, it means that the second target vehicle can just go to the traversed map site location, and the discharge time is used to replace the time affected by the road abnormality event when traveling along the difference segment, then the second target vehicle is more suitable as an induced object for deep induction;

[0079] or,

[0080] The second target vehicle does not have a fixed navigation route, and the regular driving route of the second target vehicle in the preset time before and after the current time in history passes through the nearest multi-select node of the fixed road currently traveled by the second target vehicle, and the route similarity between the local route starting from the nearest multi-select node on the regular driving route and the shortest route starting from the nearest multi-select node to the traversed map site location is greater than the similarity threshold; the preset time can be 15 minutes, then the regular driving route can be, for example: the current time is 12 noon, the regular driving route is the driving route that the second target vehicle often travels along from 11:45 to 12:15 noon every day in history, generally the route of going home, going to work, etc.; the fixed road is the road that the second target vehicle will currently travel along, for example: high When the regular driving route passes through the nearest multi-select node, it means that the second target vehicle is very likely to make a driving road choice at the nearest multi-select node; the similarity threshold can be 75%; when the route similarity between the local route starting from the nearest multi-select node on the regular driving route and the shortest route starting from the nearest multi-select node to the traversed map site location is greater than the similarity threshold, it means that the conflict between the temporary traversed map site location of the second target vehicle and the original possible travel distance is small; therefore, when the second target vehicle is very likely to make a driving road choice at the nearest multi-select node and the conflict between the temporary traversed map site location of the second target vehicle and the original possible travel distance is small, the second target vehicle is more suitable as the induction object for deep induction;

[0081] or,

[0082] The second target vehicle does not have a fixed navigation route, and there are points of interest of the user of the second target vehicle within the target range; the target range includes: a circular range with a straight line connecting the current position of the second target vehicle to the traversed map site position as a diameter; the user's points of interest are urban locations where the user may stay due to interest, specifically, for example: shopping malls, billiard halls, etc.; when the user's points of interest of the second target vehicle exist within the target range, it means that the user can easily go to the points of interest during the round trip between the second target vehicle and the traversed map site position, and the second target vehicle is more suitable as an induction object for deep induction;

[0083] The abnormal road events at least include: events that affect the normal passage of vehicles; specifically, for example: road repair events that may cause traffic congestion, traffic accidents, etc.;

[0084] The nearest multiple-choice node includes: a location that is closest to the future and has multiple driving roads for driving selection, for example: the nearest exit on the elevated road (choose to go through the exit or continue driving along the main road).

[0085] The embodiment of the present invention sets the first vehicle condition and the second vehicle condition to accurately, comprehensively and efficiently determine the first target vehicle that can be initially induced and the second target vehicle that can be deeply induced, which greatly improves the applicability of the system.

[0086] In one embodiment, the first vehicle condition further includes:

[0087] The historical induced reputation value of the first-order vehicle is greater than the reputation threshold; the calculation formula of the historical induced reputation value of the first-order vehicle is as follows:

[0088] ,

[0089] in, is the historical induced reputation value of the first-order vehicle, , and is the preset weight value, is the total number of times the first target vehicle has received induction in history, The first target vehicle in history The speed of receiving induction, The total number of malicious rejections of induction in the history of the first target vehicle.

[0090] The credibility threshold can be 8; the historical induction credibility value represents the degree of credibility of the first target vehicle in accepting induction in history; when the historical induction credibility value of the first target vehicle is greater than the credibility threshold, it means that the first target vehicle has a good credibility in accepting induction in history and can be used as the induced object for preliminary induction; the greater the number of times the induction is accepted and the faster the speed of accepting the induction, the higher the enthusiasm of the first target vehicle in accepting the induction, which is positively correlated with the historical induction credibility value; malicious rejection of induction refers to malicious rejection of induction behaviors such as immediately canceling the acceptance of induction after accepting the induction, and the total number of malicious rejections of induction is negatively correlated with the historical induction credibility value; each weight value can be set in advance by technical personnel according to actual needs.

[0091] The embodiment of the present invention provides an electric energy dispatching and distribution management system based on vehicle-grid interaction, such as Figure 2 As shown, including:

[0092] The discharge induction module 1 is used to, when it is detected that there is an additional demand for electric energy from a demand side in the distribution network, online induce the electric vehicle to go to the discharge station for discharge based on the additional demand for electric energy, the site distribution of the discharge station pre-connected with the demand side in the distribution network and the urban traffic map;

[0093] The dispatching and allocation module 2 is used to control the distribution network to dispatch and allocate the electric energy discharged by the electric vehicle received by the discharge station to the demand party.

[0094] The discharge induction module 1 online induces the electric vehicle to go to the discharge station for discharge based on the additional demand for electric energy, according to the site distribution of the discharge station pre-connected with the demander in the distribution network and the urban traffic map, including:

[0095] Map the station distribution into the city traffic map to obtain multiple map station locations;

[0096] Traverse the locations of each map site in turn;

[0097] Each time the traversal is completed, a first target vehicle that meets the first vehicle condition is determined from the city traffic map;

[0098] Based on the first induction template, according to the traversed map site locations, the first target vehicle is online induced to go to the discharge station for discharge, and the first induction duration is counted;

[0099] When the first induction duration is greater than the first duration threshold and the sum of the discharge amounts of the accepted induction plan is less than the additional demand for electric energy, determining a second target vehicle that meets the second vehicle condition from the first target vehicles;

[0100] Based on the second induction template, according to the traversed map site locations, the second target vehicle is induced online to go to the discharge station for discharge, and the second induction duration is counted;

[0101] When the second induced duration is greater than the second duration threshold and the sum of the discharge amounts of the accepted induced plans is still less than the additional demand for electric energy, continue to traverse the next map site location.

[0102] The first vehicle condition includes:

[0103] The straight-line distance between the current position of the first target vehicle and the traversed map site position is less than the distance threshold;

[0104] and,

[0105] The remaining electric energy of the first target vehicle is greater than the electric energy threshold.

[0106] The second vehicle condition includes:

[0107] The second target vehicle has a fixed navigation route, and the route length of the difference segment between the fixed navigation route and the new navigation route after the map site location traversed to the fixed navigation route is added as a waypoint is less than the length threshold or a road abnormality event occurs on the difference segment;

[0108] or,

[0109] The second target vehicle does not have a fixed navigation route, and the regular driving route of the second target vehicle in the preset time before and after the current time in history passes through the nearest multi-select node of the fixed road currently traveled by the second target vehicle, and the route similarity between the local route starting from the nearest multi-select node on the regular driving route and the shortest route starting from the nearest multi-select node to the traversed map site location is greater than the similarity threshold;

[0110] or,

[0111] The second target vehicle does not have a fixed navigation route, and there are points of interest of the user of the second target vehicle within the target range; the target range includes: a circular range with a straight line connecting the current position of the second target vehicle to the traversed map site position as the diameter.

[0112] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for managing electric energy dispatching and distribution based on vehicle-grid interaction, characterized in that: include: When it is detected that there is an additional demand for electricity from the demand side in the distribution network, based on the additional demand for electricity, according to the site distribution of the discharge stations pre-connected with the demand side in the distribution network and the urban traffic map, the electric vehicles are induced online to go to the discharge station for discharge; Control the distribution network to dispatch and distribute the electric energy discharged by electric vehicles received by the discharge station to the demand side; Based on the additional demand for electric energy, according to the site distribution of the discharge stations pre-connected with the demand side in the distribution network and the urban traffic map, online inducing the electric vehicle to go to the discharge station for discharge includes: Map the station distribution into the city traffic map to obtain multiple map station locations; Traverse the locations of each map site in turn; Each time the traversal is completed, a first target vehicle that meets the first vehicle condition is determined from the city traffic map; Based on the first induction template, according to the traversed map site locations, the first target vehicle is online induced to go to the discharge station for discharge, and the first induction duration is counted; When the first induction duration is greater than the first duration threshold and the sum of the discharge amounts of the accepted induction plan is less than the additional demand for electric energy, determining a second target vehicle that meets the second vehicle condition from the first target vehicles; Based on the second induction template, according to the traversed map site locations, the second target vehicle is induced online to go to the discharge station for discharge, and the second induction duration is counted; When the second induced duration is greater than the second duration threshold and the sum of the discharge amounts of the accepted induced plans is still less than the additional demand for electric energy, continue to traverse the next map site location.

2. The electric energy dispatching and distribution management method based on vehicle-grid interaction according to claim 1 is characterized in that: The first vehicle condition includes: The straight-line distance between the current position of the first target vehicle and the traversed map site position is less than the distance threshold; and, The remaining electric energy of the first target vehicle is greater than the electric energy threshold.

3. The electric energy dispatching and distribution management method based on vehicle-grid interaction according to claim 1 is characterized in that: The second vehicle condition includes: The second target vehicle has a fixed navigation route, and the route length of the difference segment between the fixed navigation route and the new navigation route after the map site location traversed to the fixed navigation route is added as a waypoint is less than the length threshold or a road abnormality event occurs on the difference segment; or, The second target vehicle does not have a fixed navigation route, and the regular driving route of the second target vehicle in the preset time before and after the current time in history passes through the nearest multi-select node of the fixed road currently traveled by the second target vehicle, and the route similarity between the local route starting from the nearest multi-select node on the regular driving route and the shortest route starting from the nearest multi-select node to the traversed map site location is greater than the similarity threshold; or, The second target vehicle does not have a fixed navigation route, and there are points of interest of the user of the second target vehicle within the target range; the target range includes: a circular range with a straight line connecting the current position of the second target vehicle to the traversed map site position as the diameter.

4. The electric energy dispatching and distribution management method based on vehicle-grid interaction according to claim 3 is characterized in that: The abnormal road events at least include: events that affect the normal passage of vehicles; The nearest multiple-choice node includes: a location that will be reached in the future and has multiple driving roads for driving selection.

5. The electric energy dispatching and distribution management method based on vehicle-grid interaction according to claim 2 is characterized in that: The first vehicle condition also includes: The historical induced reputation value of the first-order vehicle is greater than the reputation threshold; the calculation formula of the historical induced reputation value of the first-order vehicle is as follows: , in, is the historical induced reputation value of the first-order vehicle, , and is the preset weight value, is the total number of times the first target vehicle has received induction in history, The first target vehicle in history The speed of receiving induction, The total number of malicious rejections of induction in the history of the first target vehicle.

6. An electric energy dispatching and distribution management system based on vehicle-grid interaction, characterized in that: include: The discharge induction module is used to, when it is detected that there is an additional demand for electric energy from the demand side in the distribution network, online induce the electric vehicle to go to the discharge station for discharge based on the additional demand for electric energy, the site distribution of the discharge station pre-connected with the demand side in the distribution network and the urban traffic map; A dispatching and allocation module is used to control the distribution network to dispatch and allocate the electric energy discharged by the electric vehicle received by the discharge station to the demand party; The discharge induction module online induces the electric vehicle to go to the discharge station for discharge based on the additional demand for electric energy, according to the site distribution of the discharge station pre-connected with the demand side in the distribution network and the urban traffic map, including: Map the station distribution into the city traffic map to obtain multiple map station locations; Traverse the locations of each map site in turn; Each time the traversal is completed, a first target vehicle that meets the first vehicle condition is determined from the city traffic map; Based on the first induction template, according to the traversed map site locations, the first target vehicle is online induced to go to the discharge station for discharge, and the first induction duration is counted; When the first induction duration is greater than the first duration threshold and the sum of the discharge amounts of the accepted induction plan is less than the additional demand for electric energy, determining a second target vehicle that meets the second vehicle condition from the first target vehicles; Based on the second induction template, according to the traversed map site locations, the second target vehicle is induced online to go to the discharge station for discharge, and the second induction duration is counted; When the second induced duration is greater than the second duration threshold and the sum of the discharge amounts of the accepted induced plans is still less than the additional demand for electric energy, continue to traverse the next map site location.

7. The electric energy dispatching and distribution management system based on vehicle-grid interaction according to claim 6, characterized in that: The first vehicle condition includes: The straight-line distance between the current position of the first target vehicle and the traversed map site position is less than the distance threshold; and, The remaining electric energy of the first target vehicle is greater than the electric energy threshold.

8. The electric energy dispatching and distribution management system based on vehicle-grid interaction according to claim 6, characterized in that: The second vehicle condition includes: The second target vehicle has a fixed navigation route, and the route length of the difference segment between the fixed navigation route and the new navigation route after the map site location traversed to the fixed navigation route is added as a waypoint is less than the length threshold or a road abnormality event occurs on the difference segment; or, The second target vehicle does not have a fixed navigation route, and the regular driving route of the second target vehicle in the preset time before and after the current time in history passes through the nearest multi-select node of the fixed road currently traveled by the second target vehicle, and the route similarity between the local route starting from the nearest multi-select node on the regular driving route and the shortest route starting from the nearest multi-select node to the traversed map site location is greater than the similarity threshold; or, The second target vehicle does not have a fixed navigation route, and there are points of interest of the user of the second target vehicle within the target range; the target range includes: a circular range with a straight line connecting the current position of the second target vehicle to the traversed map site position as the diameter.

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