Energy Coordination Control Method Based on Dynamic Division of V2G Power Coverage Area

By acquiring vehicle information from V2G parking lots, dynamically dividing the power coverage area, and optimizing V2G power distribution, the problem of unutilized proximity between power sources and load centers in existing technologies is solved, achieving efficient power distribution and improved grid stability.

CN120410131BActive Publication Date: 2026-03-06STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO
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Patent Information

Application Number
CN202510873044.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-27
Publication Date
2026-03-06
Estimated Expiration
2045-06-27

AI Technical Summary

Technical Problem

Existing multi-port energy routers fail to adequately consider the geographical proximity of power sources and load centers in V2G power distribution, leading to supply and demand mismatch in high-load areas, which affects energy utilization efficiency and grid operation performance.

Method used

By acquiring vehicle entry and exit registration information from V2G parking lots, analyzing user driving habits, dynamically dividing V2G power coverage areas, and using multi-port energy routers for energy coordination and control, the total power supply and coverage radius are optimized to achieve precise power distribution in high-load areas.

Benefits of technology

It improves the utilization efficiency of V2G power, optimizes the dynamic allocation of multiple energy sources, enhances the power grid's supply and demand balance and stability, and improves the utilization rate of power resources.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention relates to the field of power supply coordination and control technology, specifically to an energy coordination and control method based on the dynamic division of V2G power coverage areas. The method includes: acquiring vehicle entry and exit registration information for each parking lot with deployed V2G; determining the theoretical total power supply for each parking lot in the current sub-period based on the vehicle entry and exit registration information; determining the initial coverage radius for each parking lot based on the theoretical total power supply; determining the core coverage radius for each target power consumption site corresponding to each parking lot using the initial coverage radius; determining the V2G power coverage area for each parking lot in the current sub-period by combining the initial coverage radius and the core coverage radius; and performing energy coordination and control based on the V2G and non-V2G power coverage areas. This invention improves power resource utilization and facilitates reliable energy coordination and control by adaptively and in real-time distinguishing between V2G and non-V2G power coverage areas.
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Description

Technical Field

[0001] This invention relates to the field of power supply coordination and control technology, specifically to an energy coordination and control method based on the dynamic division of V2G power coverage areas. Background Technology

[0002] With the rapid development of renewable energy, traditional centralized energy supply systems are gradually transforming into distributed energy systems. This transformation brings greater flexibility to the power system, but also new challenges, such as energy volatility and supply-demand imbalances. To efficiently manage energy flow among multiple energy sources, loads, and energy storage devices, and to ensure power system stability and optimize energy use, multi-port energy routers have been proposed. Multi-port energy routers can coordinate energy flow between various energy sources and have been widely applied in smart microgrids, vehicle-to-grid (V2G) charging and discharging networks, and industrial energy management.

[0003] In the coordinated control of power systems using multi-port energy routers, while existing solutions integrate multiple energy sources and achieve dynamic allocation of regional loads, they still suffer from insufficient energy utilization efficiency, particularly in the underutilization of V2G (Vehicle-to-Grid) power. Compared to other renewable energy sources, V2G power has significant advantages: its supply is less affected by seasonality and geographical location, and it primarily originates from large parking lots in high-load urban areas, naturally matching electricity demand. However, current systems fail to adequately consider the geographical proximity of power sources and load centers when allocating V2G power, leading to spatial mismatches in power distribution. This prevents V2G power from efficiently serving nearby high-load areas, reducing energy utilization efficiency, impacting the overall grid performance, and ultimately hindering the coordinated control effectiveness of multi-port energy routers. Summary of the Invention

[0004] To address the technical problem of supply-demand mismatch in high-load areas caused by the failure to fully utilize the geographical proximity advantage of V2G power in existing coordinated control methods, the present invention aims to provide an energy coordinated control method based on the dynamic division of V2G power coverage areas. The specific technical solution adopted is as follows:

[0005] One embodiment of the present invention provides an energy coordination control method based on the dynamic division of V2G power coverage areas, the method comprising the following steps:

[0006] Obtain vehicle entry and exit registration information for each user's vehicle in several V2G-deployed parking lots within the city during the current preset time period; the current preset time period is divided into several sub-time periods;

[0007] Based on the vehicle entry and exit registration information of each parking lot, analyze user driving habits to determine the theoretical total power supply of each parking lot in the current sub-period; determine the initial coverage radius of each parking lot based on the theoretical total power supply; analyze the power supply participation of fixed users in the parking lot through the initial coverage radius to determine the core coverage radius of each target power consumption site corresponding to each parking lot; combine the initial coverage radius of each parking lot and the core coverage radius of each target power consumption site to determine the V2G power coverage area of ​​each parking lot in the current sub-period.

[0008] Based on the V2G power coverage area and the non-V2G power coverage area in the city, a multi-port energy router is used for energy coordination and control.

[0009] Furthermore, the step of analyzing user driving habits based on the vehicle entry and exit registration information of each parking lot to determine the theoretical total power supply of each parking lot in the current sub-period includes:

[0010] For any parking lot, the theoretical power supply contribution of the parking lot in the current sub-period is determined based on the vehicle entry and exit registration information of each user's vehicle in the parking lot; the vehicle entry and exit registration information includes the parking duration in the current preset period, the number of entries and exits in each sub-period, and the arrival time.

[0011] Obtain the theoretical power supply contribution of the parking lot in the previous sub-period and the actual total V2G power supply in the current sub-period;

[0012] The theoretical power supply of the parking lot in the current sub-period is determined based on the parking lot's theoretical power supply contribution, the theoretical power supply contribution of the previous sub-period, and the actual total V2G power supply.

[0013] Further, determining the theoretical power supply contribution of the parking lot in the current sub-period based on the vehicle entry and exit registration information of each user's vehicle in the parking lot includes:

[0014] For each user vehicle in the parking lot, the power supply contribution of the user vehicle is determined based on the number of times the user vehicle enters and exits in each sub-period and the parking duration in the current preset period.

[0015] Based on the arrival time of each user vehicle in each sub-period, construct the theoretical arrival time period for the corresponding user vehicle, and filter out the user vehicles whose arrival time in the current sub-period falls within the corresponding theoretical arrival time period as theoretical user vehicles.

[0016] The first cumulative value of the power supply contribution of all theoretical user vehicles in the current sub-period is taken as the theoretical power supply contribution of the parking lot in the current sub-period.

[0017] Furthermore, determining the user vehicle's contribution to power supply based on the number of times the user vehicle enters and exits in each sub-period and the parking duration in the current preset period includes:

[0018] The relative load of electricity consumption for each sub-period is obtained. Based on the number of times user vehicles enter and exit each sub-period and the relative load of electricity consumption, the sub-power supply contribution of user vehicles in each sub-period is determined. The relative load of electricity consumption represents the total electricity consumption of electricity-consuming locations in the vicinity of the parking lot.

[0019] The power supply contribution of a user vehicle is determined based on the second cumulative value of its sub-power supply contribution in each sub-time period, combined with the parking duration within the current preset time period; both the second cumulative value and the parking duration are positively correlated with the power supply contribution.

[0020] Furthermore, determining the sub-power supply contribution of user vehicles in each sub-time period based on the number of times user vehicles enter and exit and the relative load of electricity consumption in each sub-time period includes:

[0021] Calculate the first product of the number of times a user's vehicle enters and exits within the same sub-time period and the relative electricity load.

[0022] The first product is subjected to negative correlation normalization to obtain a first normalized value, which is then used as the sub-power supply contribution of the user vehicle in the corresponding sub-time period.

[0023] Further, determining the theoretical power supply total of the parking lot in the current sub-period based on the parking lot's theoretical power supply contribution, the theoretical power supply contribution of the previous sub-period, and the actual V2G power supply total includes:

[0024] Calculate the first ratio of the theoretical power supply contribution of the parking lot in the current sub-period to the theoretical power supply contribution of the previous sub-period, and multiply the first ratio by the second product of the actual V2G power supply in the previous sub-period as the theoretical power supply of the parking lot in the current sub-period.

[0025] Further, determining the initial coverage radius of each parking lot based on the theoretical total power supply includes:

[0026] For any parking lot, with the parking lot as the center, the power supply coverage area is gradually expanded outward according to the preset step size and the preset radius to obtain several power supply coverage areas with undetermined radii.

[0027] Obtain the first total electricity consumption of all power-consuming locations within the power supply coverage area of ​​each undetermined radius in the current sub-period, and the second total electricity consumption of all power-consuming locations within the power supply coverage area of ​​each undetermined radius in the current sub-period for several historical sub-periods; the historical sub-periods have the same weekday name as the current sub-period;

[0028] For each power supply coverage area with a predetermined radius, a second ratio is determined based on the comparison result of the average of the first total power consumption and the second total power consumption corresponding to the power supply coverage area with the predetermined radius.

[0029] Set a comparison threshold, and determine the estimated power consumption of each power supply coverage area of ​​the undetermined radius based on the comparison results of each second ratio with the comparison threshold;

[0030] The initial coverage radius of the parking lot is determined based on the estimated power consumption and theoretical total power supply of each power supply coverage area with a given radius.

[0031] Further, determining the second ratio based on the comparison result of the first total electricity consumption and the average of the second total electricity consumption corresponding to the power supply coverage area of ​​the undetermined radius includes:

[0032] When the first total electricity consumption is less than the average of the second total electricity consumption, the ratio of the first total electricity consumption to the average of the second total electricity consumption shall be used as the second ratio.

[0033] When the first total electricity consumption is greater than the average of the second total electricity consumption, the ratio of the average of the second total electricity consumption to the first total electricity consumption is taken as the second ratio.

[0034] Further, determining the estimated power consumption of each power supply coverage area of ​​a desired radius based on the comparison results of each of the second ratios and the comparison threshold includes:

[0035] When the second ratio is greater than or equal to the comparison threshold, the maximum value of the first total power consumption and the second total power consumption is taken as the estimated power consumption of the power supply coverage area with the corresponding undetermined radius; otherwise, the average value of the first total power consumption and the second total power consumption is taken as the estimated power consumption of the power supply coverage area with the corresponding undetermined radius.

[0036] Further, determining the initial coverage radius of the parking lot based on the estimated power consumption and theoretical total power supply of each power supply coverage area of ​​a predetermined radius includes:

[0037] Select the radius from all the undetermined radii where the estimated power consumption is less than the theoretical total power supply, and use it as the target radius.

[0038] Calculate the difference between the theoretical total power supply and the estimated power consumption of the power supply coverage area for each target radius, and take the target radius corresponding to the smallest difference as the initial coverage radius of the parking lot.

[0039] Furthermore, the step of analyzing the power supply participation of fixed users in the parking lot through the initial coverage radius to determine the core coverage radius of each target power consumption location corresponding to each parking lot includes:

[0040] For any parking lot, obtain the workplaces of users with theoretical user vehicles within the initial power supply coverage area centered on the parking lot, and record them as target power consumption locations. Then, count the number of theoretical users in all target power consumption locations.

[0041] The second normalized value obtained by normalizing the theoretical number of users is used as the V2G participation contribution degree of the application field.

[0042] Based on the V2G participation contribution and the initial coverage radius of each power consumption location, the core coverage radius of each target power consumption location corresponding to the parking lot is determined.

[0043] Furthermore, the determination of the V2G power coverage area for each parking lot in the current sub-period, by combining the initial coverage radius of each parking lot and the core coverage radius of each target power consumption location, includes:

[0044] For any parking lot, obtain the initial power supply coverage area of ​​the parking lot and the power coverage area of ​​each corresponding target power consumption site. The radius of the initial power supply coverage area is the initial coverage radius, and the radius of the power coverage area is the core coverage radius.

[0045] Determine the union area of ​​the power coverage areas of each target power consumption location corresponding to the parking lot, and take the intersection area of ​​the union area and the initial power supply coverage area of ​​the parking lot as the V2G power coverage area of ​​the parking lot.

[0046] Furthermore, obtaining the priority order of different power generation methods corresponding to the non-V2G power coverage area includes:

[0047] Obtain the historical power generation and historical annual power generation of several power generation methods in various preset historical time periods;

[0048] Based on the power generation of each power generation method in each historical period and the historical annual power generation, determine the power production capacity performance of each power generation method in each historical preset period.

[0049] For each historical preset time period, the power production capacity performance of each power generation method in the historical preset time period is ranked from largest to smallest, which is used as the priority selection order for different power generation methods in non-V2G power coverage areas under the historical preset time period.

[0050] Further, determining the power production capacity performance of each power generation method in each historical preset period based on the power generation of each historical period and the historical annual power generation of each power generation method includes:

[0051] For any power generation method, the power generation capacity of the power generation method in each of the historical time periods and the historical annual power generation is determined based on the power generation of the power generation method in each of the historical preset time periods.

[0052] Based on the historical annual power generation of this type of power generation and the historical annual power generation of all types of power generation, determine the dominant utilization rate of this type of power generation.

[0053] By combining the power generation capacity and the dominant utilization, the power production performance of this power generation method in each historical preset period is determined.

[0054] The present invention has the following beneficial effects:

[0055] This invention provides an energy coordination control method based on the dynamic division of V2G power coverage areas. This method analyzes user driving habits by collecting vehicle entry and exit registration information of parking lots with deployed V2G to dynamically determine the theoretical total power supply of the parking lot. The theoretical total power supply determines the initial coverage radius of the parking lot and the core coverage radius of the power consumption site. Then, by combining the initial coverage radius and the core coverage radius, the V2G power coverage area of ​​each parking lot in the current sub-time period is determined, so as to adaptively determine the V2G power allocation mode and improve the energy utilization efficiency of V2G power, that is, to realize V2G power coordination control. The V2G power coverage area determined in this invention, combined with geographical proximity, facilitates priority coverage of high-load areas, significantly improving the utilization efficiency of V2G power. It can achieve optimal matching between high-load areas and V2G power generation locations, reducing transmission losses. By adaptively adjusting the power coverage range through the core coverage radius, the dynamic allocation of multiple energy sources can be optimized, which helps to enhance the power grid's supply and demand balance and stability. Based on user participation analysis, it guides fixed users to participate efficiently, improving the utilization rate of power resources and providing an efficient and flexible coordination and control scheme for smart microgrids and urban energy management. Attached Figure Description

[0056] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0057] Figure 1 This is a flowchart illustrating the implementation of an energy coordination control method based on the dynamic division of V2G power coverage areas according to the present invention.

[0058] Figure 2 This is a flowchart illustrating the implementation of step S2 in an embodiment of the present invention;

[0059] Figure 3 This is a flowchart illustrating the implementation of step S31 in an embodiment of the present invention.

[0060] Figure 4 This is a schematic diagram illustrating the process of determining the V2G power coverage area in an embodiment of the present invention. Detailed Implementation

[0061] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the specific implementation methods, structures, features, and effects of the technical solution proposed according to the present invention are described in detail below with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0062] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0063] The application scenarios targeted by this invention can be:

[0064] The existing V2G power allocation does not fully consider the geographical proximity between power generation locations and high-load areas, resulting in V2G power being unable to efficiently supply high-load areas with large demand. This V2G power allocation strategy may affect the overall operating efficiency of the power grid and fail to achieve optimal matching between high-load areas and V2G power generation locations.

[0065] To achieve optimal matching between high-load areas and V2G power supply, one embodiment of the present invention provides an energy coordination control method based on dynamic division of V2G power coverage areas, such as... Figure 1 As shown, it includes the following steps:

[0066] S1: Obtain vehicle entry and exit registration information for each user's vehicle in several V2G-deployed parking lots within the city during the current preset time period.

[0067] Here, for parking lots where V2G has been deployed, the power grid company usually signs an agreement with the parking lot manager and pays the corresponding fee to use the parking lot's electric vehicle batteries as part of a virtual power plant. This business model can effectively alleviate the pressure on the power grid, especially during high-demand periods, such as the high temperatures in summer or the cold weather in winter. In this embodiment, the vehicle entry and exit registration information includes the parking duration of the user's vehicle in the current preset time period, the number of entries and exits in each sub-time period, and the arrival time.

[0068] To ensure the supply of V2G power, the parking lot here can be a large parking lot. Large parking lots are usually located in environments with a high concentration of companies and businesses. The large number of people gathered here also means the widespread use of electric vehicles. During the daily working hours, the large number of parked vehicles can provide a huge opportunity for power dispatching and optimization.

[0069] In this embodiment, for any city, the parking management system of the deployed V2G parking lots collects the parking duration of each user's vehicle in the current preset time period, the number of entries and exits in each sub-time period, and the arrival time.

[0070] The number of parking lots with V2G deployed varies in different cities, so no specific setting is made for the number of parking lots. The current preset time period can be set to the current month, and the sub-time period can be the day. The current preset time period and sub-time period can also be set by the implementer according to the specific actual situation, without specific limitations.

[0071] Thus, this embodiment obtains the parking duration, entry and exit times, and arrival times of each user's vehicle in each V2G-deployed parking lot in the city within the current month.

[0072] S2 analyzes user driving habits based on vehicle entry and exit registration information for each parking lot to determine the theoretical total power supply for each parking lot in the current sub-period.

[0073] Here, the theoretical total power supply refers to the current power supply situation predicted based on historical power supply data.

[0074] As an exemplary implementation, step S2 described above can be achieved through... Figure 2 Steps S21 to S23 shown are implemented as follows:

[0075] S21. For any parking lot, determine the theoretical power supply contribution of the parking lot in the current sub-period based on the vehicle entry and exit registration information of each user's vehicle in the parking lot.

[0076] The user group in the parking lot is diverse, including commuters, short-term visitors, and staff who frequently use their vehicles. However, for vehicles that park briefly or for staff who need to use their vehicles frequently, such as sales personnel meeting with clients, the uncertain parking time makes it difficult to participate effectively in the power grid's power balance. Therefore, for each user's vehicle in the parking lot, it is necessary to determine the user's contribution to power supply based on their usage habits, namely the number of times they enter and exit in each sub-period and the parking duration in the current preset period. By comprehensively analyzing the power supply contributions of all user vehicles in the parking lot, the theoretical power supply contribution of the parking lot in the current sub-period can be obtained.

[0077] Here, taking a parking lot as an example, the theoretical power supply contribution of each parking lot in the current sub-period is determined in the same way. The theoretical power supply contribution refers to the ability of the entire parking lot to provide power to the power consumption site. Since different sub-periods may be affected by external factors such as holidays, the ability of parking lots to provide power to the power consumption site in different sub-periods will be different. Therefore, this embodiment needs to determine the theoretical power supply contribution of the sub-period in real time.

[0078] As an exemplary implementation, step S21 can be achieved through steps S211 to S213:

[0079] S211, for each user vehicle in the parking lot, the power supply contribution of the user vehicle is determined based on the number of times the user vehicle enters and exits in each sub-period and the parking duration in the current preset period.

[0080] Here, the contribution to power supply refers to the ability of user vehicles to provide flexible power support to the power grid as distributed energy storage units.

[0081] As an example, step S211 above can be implemented through the following steps:

[0082] The first step is to obtain the relative load of electricity consumption for each sub-period. Based on the number of times user vehicles enter and exit each sub-period and the relative load of electricity consumption, the sub-power supply contribution of user vehicles in each sub-period is determined.

[0083] Here, the relative load factor represents the total electricity consumption of the parking lot's adjacent area, while the sub-power supply contribution factor represents the ability of user vehicles to supply power to the grid in a single sub-period.

[0084] In this embodiment, considering the impact of users' occupational nature on vehicle usage frequency to reflect their effective contribution to grid utilization, the frequency of user vehicles entering and exiting in each sub-period is obtained as a calculation factor for calculating the sub-power supply contribution. At the same time, it is also necessary to consider whether user vehicles enter and exit during peak electricity consumption periods. This is because the power load pressure is greater during peak electricity consumption periods, and the impact of frequent user vehicle entry and exit on the overall power supply is much greater than during low electricity consumption periods. Therefore, it is necessary to obtain the relative load of electricity consumption as another calculation factor for calculating the sub-power supply contribution.

[0085] First, obtain the relative load of electricity consumption for each sub-period.

[0086] The peak electricity consumption periods of places near parking lots differ from those of daily household electricity consumption. During holidays, when commercial parking lots are operating at full capacity, it is necessary to analyze the peak electricity consumption periods based on actual traffic flow and equipment operation data.

[0087] Specifically, the system acquires the total electricity consumption of all electricity-consuming locations within a preset range of the parking lot for each sub-period within several historical periods; calculates the average total electricity consumption of sub-periods of different week names within each historical period, and obtains the average total electricity consumption corresponding to each week name's sub-period; the ratio of the average total electricity consumption corresponding to a single week name to the cumulative value of all average total electricity consumption is used as the relative load factor of the electricity consumption of the corresponding week name's sub-period.

[0088] In this system, the relative load values ​​for electricity consumption in sub-time periods with the same weekday name are identical. The preset parking lot range can be within 1 kilometer. The historical period refers to the acquired week, and the number of historical periods can be set to 10, or the implementer can set it according to specific circumstances. The more historical periods there are, the more accurate the obtained relative load values ​​for electricity consumption will be. A sub-time period refers to each day of the week, and the sub-time period settings are the same as those described in step S1. Each day of the week has its corresponding weekday name, such as Monday, Tuesday, Wednesday, Thursday, etc.

[0089] As an example, the formula for calculating the relative load factor of electricity consumption on Monday can be:

[0090] In the formula, This indicates the relative electricity load on Monday. This represents the average total electricity consumption on Mondays over several historical periods, where i represents the week number. This represents the average total electricity consumption of the i-th week across several historical periods. This represents the cumulative sum of the average total electricity consumption.

[0091] Of course, implementers can also analyze the relative load of electricity consumption in sub-periods through other means.

[0092] Secondly, based on the number of times user vehicles enter and exit each sub-period and their relative electricity load, the sub-power supply contribution of user vehicles in each sub-period is determined.

[0093] In this embodiment, the number of entries and exits, the relative load of electricity consumption, and the contribution of sub-power supply are all negatively correlated; that is, the greater the number of entries and exits and the relative load of electricity consumption, the smaller the contribution of sub-power supply. For example, the more frequently a user's vehicle enters and exits during peak electricity consumption sub-periods, the smaller the contribution of the vehicle to the entire V2G power system during the corresponding sub-period.

[0094] Specifically, the first product of the number of times a user's vehicle enters and exits within the same sub-period and the relative load of electricity consumption is calculated; the first product is then subjected to negative correlation normalization to obtain a first normalized value, which is used as the sub-power supply contribution of the user's vehicle in the corresponding sub-period.

[0095] As an example, the formula for calculating the sub-power supply contribution of a user vehicle in the j-th sub-time period can be:

[0096] In the formula, This represents the sub-power supply contribution of a user's vehicle in the j-th sub-time period. This represents the number of times a user's vehicle enters and exits during the j-th sub-time period. Let represent the relative load of electricity consumption of a user's vehicle in the j-th sub-period, and exp(-) represent the negative correlation normalization function.

[0097] In the formula for calculating the sub-power supply contribution, if the j-th sub-period is Monday, then the relative load of electricity consumption on Monday is obtained to calculate the sub-power supply contribution. There are multiple sub-periods with the same week name within the current preset period. In this embodiment, the relative load values ​​of electricity consumption for sub-periods with the same week name are the same. The larger the sub-power supply contribution, the greater the possibility that the user vehicle can provide electricity in the j-th sub-period and the more electricity it provides.

[0098] The second step is to determine the user vehicle's power supply contribution based on the second cumulative value of the user vehicle's sub-power supply contribution in each sub-time period, combined with the parking duration within the current preset time period.

[0099] In this embodiment, both the second accumulated value and the parking duration are positively correlated with the contribution to power supply.

[0100] The parking duration within the current preset time period can reflect whether the user's vehicle is a regular user of the parking lot, rather than a vehicle that occasionally stops for a short period of time.

[0101] Specifically, firstly, the ratio of the user's vehicle parking time to the current preset time period is used as the fixed parking degree. That is, the ratio of the number of days the user's vehicle is parked to the number of days in the current month is analyzed to determine the fixed parking degree of the user's vehicle.

[0102] Secondly, the product of the second accumulated value and the fixed parking degree is calculated. To facilitate numerical analysis, a linear normalization function is used to normalize the product of the two to obtain a normalized value, which is used as the contribution of the user's vehicle to the power supply.

[0103] The second cumulative value is a comprehensive analysis of the power supply contribution of all sub-power supply vehicles of the same user vehicle within the current preset time period. The larger the second cumulative value, the better the power supply status of the user vehicle is analyzed from the perspective of the number of times the user vehicle enters and exits and the power consumption near the parked vehicle. The higher the fixed parking degree, the more opportunities the user vehicle has to perform power supply operation and the more sufficient the power provided, and the greater the power supply contribution of the user vehicle. The greater the power supply contribution of the user vehicle, the greater the role it plays in providing power to the corresponding user vehicle in the parking lot. If the power supply contribution of each user vehicle in the parking lot is greater, then the power supply contribution of the corresponding parking lot will be greater.

[0104] In summary, this embodiment analyzes users' vehicle usage habits in parking lots to assess the impact of each user on V2G power supply, i.e., to determine the power supply contribution of each user's vehicle.

[0105] After obtaining the power supply contribution of each user vehicle, the power supply of each parking lot can be analyzed. A higher power supply contribution from each user vehicle in the parking lot indicates that the vehicle corresponding to the user's driving habits is more likely to participate in V2G power coordination. Therefore, the theoretical power generation for the day can be dynamically estimated based on the initial arrival time of user vehicles in the morning. Specifically, the arrival status of each user vehicle is analyzed based on the theoretical working hours of commuters to predict whether a user vehicle will appear in the current sub-period, thereby dynamically assessing the estimated power generation of the parking lot in the current sub-period, i.e., determining the total theoretical power supply of the parking lot in the current sub-period, achieved through the following steps S212 to S23.

[0106] S212, construct the theoretical arrival time period for each user vehicle based on the arrival time of each user vehicle in each sub-period, and filter out the user vehicles whose arrival time in the current sub-period falls within the corresponding theoretical arrival time period as theoretical user vehicles.

[0107] Here, theoretical user vehicles refer to the predicted user vehicles whose arrival time falls within the theoretical arrival period. By identifying theoretical user vehicles, it is possible to exclude user vehicles that may not participate in V2G power coordination during the current sub-period due to holidays or other factors, which helps improve the accuracy of the parking lot's theoretical power supply contribution during the current sub-period.

[0108] Specifically, based on the arrival time of each user vehicle in the morning of each sub-period (daily) within the current preset time period (nearly one month), the average arrival time of the same user vehicle is calculated as the theoretical arrival time of the corresponding user vehicle; the preset fluctuation period is 30 minutes, and 15-minute periods are determined before and after the theoretical arrival time of each user vehicle to construct the theoretical arrival period of each user vehicle; the theoretical arrival period of each user vehicle is compared with the arrival time of each user vehicle in the current sub-period (day), and if the actual arrival time is within the theoretical arrival period, the corresponding user vehicle is taken as the theoretical user vehicle, thus obtaining all theoretical user vehicles.

[0109] S213, take the first cumulative value of the power supply contribution of all theoretical user vehicles in the current sub-period as the theoretical power supply contribution of the parking lot in the current sub-period.

[0110] In this embodiment, by accumulating the power supply contribution of all theoretical user vehicles in the current sub-period, a comprehensive analysis of the power supply situation of all theoretical user vehicles in the parking lot is achieved, that is, the theoretical power supply contribution of the parking lot in the current sub-period is determined.

[0111] S22, obtain the theoretical power supply contribution of the parking lot in the previous sub-period and the actual total V2G power supply in the current sub-period.

[0112] In this embodiment, the theoretical power supply contribution of the previous sub-period is determined in the same way as the theoretical power supply contribution of the current sub-period. The theoretical power supply contribution of the previous sub-period can be directly obtained through the process of determining the theoretical power supply contribution of the current sub-period. The actual total V2G power supply can be directly obtained through the parking lot's V2G power supply system, which can be used to predict the power supply situation of the current sub-period.

[0113] S23. Determine the total theoretical power supply of the parking lot in the current sub-period based on the parking lot's theoretical power supply contribution in the current sub-period, the theoretical power supply contribution in the previous sub-period, and the actual total V2G power supply.

[0114] In this embodiment, based on the actual total V2G power supply of the previous sub-period, the theoretical total power supply of the parking lot in the current sub-period is predicted by the degree of deviation between the theoretical power supply contributions of two adjacent sub-periods.

[0115] Specifically, the theoretical power supply contribution of the parking lot in the current sub-period is calculated as a first ratio to the theoretical power supply contribution in the previous sub-period. The first ratio is then multiplied by the second product of the actual V2G power supply in the previous sub-period to obtain the theoretical power supply of the parking lot in the current sub-period.

[0116] As an example, the formula for calculating the theoretical total power supply of the parking lot in the current sub-period can be:

[0117] In the formula, This represents the theoretical total power supply for the parking lot during the current sub-period. This indicates the theoretical power supply contribution of the parking lot in the current sub-period. This indicates the parking lot's theoretical contribution to power supply in the previous sub-period of the current sub-period. This indicates the total actual V2G power supply to the parking lot in the previous sub-period of the current sub-period.

[0118] By referring to the calculation process of the theoretical total power supply of any parking lot in the current sub-period, the theoretical total power supply of each parking lot in the current sub-period can be obtained.

[0119] Thus, this embodiment obtains the theoretical total power supply for each parking lot in the current sub-period.

[0120] S3. Determine the initial coverage radius of each parking lot based on the theoretical total power supply; analyze the power supply participation of fixed users in the parking lot through the initial coverage radius, and determine the core coverage radius of each target power consumption site corresponding to each parking lot.

[0121] Here, the initial coverage radius represents the radius of the V2G power coverage area initially determined for the parking lot, and the core coverage radius represents the V2G power coverage area determined for each power consumption site. The coverage area is a circular area centered on the parking lot or power consumption site, and the target power consumption site is the workplace of the user with theoretical user vehicles located within the initial coverage area.

[0122] The electricity generated within the parking lot via the V2G system can be directly transmitted to nearby areas, ensuring grid stability and high-efficiency power consumption while avoiding transmission losses associated with long-distance power transfer. Therefore, coverage can radiate outwards from the parking lot, fulfilling the need for efficient short-distance power transmission and overcoming the limitation of existing V2G systems that cannot efficiently serve nearby high-load areas, thus improving energy utilization efficiency.

[0123] S31, determine the initial coverage radius of each parking lot based on the theoretical total power supply.

[0124] As an exemplary implementation, step S31 described above can be achieved through... Figure 3 Steps S311 to S315 shown are implemented as follows:

[0125] S311, for any parking lot, taking the parking lot as the center, gradually expand outwards with a preset radius according to a preset step size to obtain several power supply coverage areas with undetermined radii.

[0126] In this embodiment, the system expands outward from the parking lot as the center, with a preset radius, to obtain N power supply coverage areas with undetermined radii. Here, N is a positive integer, which can be empirically taken as 5, the preset radius can be 1 kilometer, and the preset step size can be 1 kilometer.

[0127] To determine the initial coverage radius, in order to fully guarantee the power load within the power coverage area, the initial coverage radius of the current sub-period needs to be adaptively determined based on the theoretical total power supply of parked vehicles in the current sub-period. This is specifically achieved through the following steps S312 to S315.

[0128] S312, obtain the first total electricity consumption of all power-consuming locations within the power supply coverage area of ​​each undetermined radius in the current sub-time period, and the second total electricity consumption of all power-consuming locations within the power supply coverage area of ​​each undetermined radius in the current sub-time period for several historical sub-time periods.

[0129] Here, the first total electricity consumption and the second total electricity consumption are the electricity consumption data obtained in different sub-periods. Each historical sub-period has its corresponding second total electricity consumption.

[0130] In this embodiment, the power supply coverage area has significant changes in electricity demand during holidays, i.e., changes in people's work and holidays. There will be a large difference in electricity consumption between weekdays and holidays. Therefore, it is necessary to obtain the second total electricity consumption of all power-consuming places in the power supply coverage area of ​​each undetermined radius for several historical sub-time periods corresponding to the current sub-time period.

[0131] For historical sub-time periods, the weekday name is the same as the current sub-time period. If the current sub-time period is Wednesday, then the historical sub-time period is last Wednesday, the Wednesday before last, etc. The number of historical sub-time periods can be set to 10. The more historical sub-time periods there are, the more accurate the value of the second ratio will be. Implementers can set it according to the specific situation, and there is no specific limitation here.

[0132] S313, for each power supply coverage area with a predetermined radius, a second ratio is determined based on the comparison result of the average of the first total power consumption and the second total power consumption corresponding to the power supply coverage area with the predetermined radius.

[0133] In this embodiment, the second ratio is used to represent the similarity between the first total electricity consumption and the average of the second total electricity consumption. To limit the range of the second ratio to between 0 and 1, it needs to be determined based on the comparison between the first total electricity consumption and the average of the second total electricity consumption. Specifically, for the first total electricity consumption and the average of the second total electricity consumption, the larger value is used as the denominator and the smaller value is used as the numerator, thereby determining the second ratio.

[0134] Taking any power supply coverage area with a certain radius as an example, when the first total power consumption is less than the average of the second total power consumption, the ratio of the first total power consumption to the average of the second total power consumption is taken as the second ratio; when the first total power consumption is greater than the average of the second total power consumption, the ratio of the average of the second total power consumption to the first total power consumption is taken as the second ratio.

[0135] The second average total electricity consumption refers to the average total electricity consumption of the power supply coverage area of ​​the undetermined radius across all historical sub-periods.

[0136] S314, Set a comparison threshold, and determine the estimated power consumption of each power supply coverage area of ​​the undetermined radius based on the comparison results of each second ratio with the comparison threshold.

[0137] Here, the estimated power consumption can represent the estimated power demand of each power supply coverage area with a certain radius. The larger the estimated power consumption, the greater the estimated power demand of the corresponding power supply coverage area with a certain radius.

[0138] In this embodiment, the estimated power consumption of the power supply coverage area of ​​each undetermined radius is determined by comprehensive horizontal and vertical analysis. If the difference between the horizontal and vertical comparisons is too large, it indicates that there is a greater possibility of unexpected situations, such as holidays or special circumstances where power consumption is low. In this case, the average total power consumption of historical sub-periods should be used as the estimated power consumption.

[0139] Specifically, the comparison threshold is set to 0.5. When the second ratio is greater than or equal to the comparison threshold, it indicates that the difference between the horizontal and vertical comparisons is too large. The maximum value between the first total power consumption and the second total power consumption is taken as the estimated power consumption of the power supply coverage area of ​​the corresponding undetermined radius. Otherwise, the average value of the first total power consumption and the second total power consumption is taken as the estimated power consumption of the power supply coverage area of ​​the corresponding undetermined radius.

[0140] S315. Determine the initial coverage radius of the parking lot based on the estimated power consumption and theoretical total power supply of each power supply coverage area with a specified radius.

[0141] Here, the estimated power consumption can represent the estimated power demand, and the theoretical total power supply can represent the estimated power generation. Based on the principle that the estimated power generation is greater than the estimated power demand, the initial coverage radius of the parking lot is selected from all the undetermined radii.

[0142] Specifically, from all the undetermined radii, the undetermined radius with the estimated power consumption less than the theoretical total power supply is selected as the target radius; the difference between the theoretical total power supply and the estimated power consumption of the power supply coverage area of ​​each target radius is calculated, and the target radius corresponding to the smallest difference is taken as the initial coverage radius of the parking lot.

[0143] S32 analyzes the power supply participation of fixed users in the parking lot through the initial coverage radius analysis, and determines the core coverage radius of each target power consumption site corresponding to each parking lot.

[0144] Considering that users will park their vehicles in parking lots equipped with V2G systems for power supply, the initial power supply coverage area corresponding to the initial coverage radius should be adapted to the power consumption locations of the fixed user groups participating in the power supply. At the same time, to support the power supply contribution of the V2G system, priority power coverage needs to be given to large power consumption locations. Therefore, the initial power supply coverage area needs to be adjusted based on the core coverage radius.

[0145] As an exemplary implementation, step S32 can be achieved through steps S321 to S323:

[0146] S321. For any parking lot, obtain the workplaces of users with theoretical user vehicles within the initial power supply coverage area centered on the parking lot, and record them as target power consumption locations. Then, count the number of theoretical users in all target power consumption locations.

[0147] In this embodiment, based on the registration information of each theoretical user vehicle in the parking lot, the workplace of each theoretical user vehicle user is obtained, such as office buildings, shopping malls, and large parks. This allows us to obtain the number of theoretical users within the initial power supply coverage area centered on the parking lot, which can be used to analyze the contribution of users to V2G power in the power consumption locations around the parking lot.

[0148] Specifically, the workplace of each theoretical user vehicle is first determined by counting the parking lots. Then, the workplaces within the initial power supply coverage area centered on the parking lots are identified, and the number of theoretical users located in the workplaces within the initial power supply coverage area is counted. The number of theoretical users refers to the owners of the theoretical user vehicles.

[0149] It should be noted that since the expansion is centered on the parking lot, the workplaces of some theoretical users' vehicles may not be within the initial power coverage area of ​​the parking lot or may be in a critical situation.

[0150] S322, the second normalized value obtained by normalizing the theoretical number of users, is used as the V2G participation contribution of the applied electric field.

[0151] In this embodiment, the second normalized value is obtained by normalizing the theoretical number of users using the Softmax function. The second normalized value can characterize the V2G participation contribution of users in each power consumption location corresponding to the parking lot. The more users there are, the greater the V2G participation contribution, and the more the V2G power coverage area should include the power consumption locations of these theoretical user vehicles, and the larger the core coverage radius of the power consumption location will be.

[0152] S323, based on the V2G participation contribution and initial coverage radius of each power consumption location, determine the core coverage radius of each target power consumption location corresponding to the parking lot.

[0153] In this embodiment, for each power consumption location, the product of the V2G participation contribution of the power consumption location and the initial coverage radius is used as the core coverage radius of the power consumption location.

[0154] Thus, this embodiment has obtained the core coverage radius of each target power consumption location corresponding to the parking lot.

[0155] Subsequently, the initial power supply coverage area can be adjusted by determining the core coverage radius, which ensures that the power consumption site and its adjacent area have priority when using electricity, thereby better meeting power demand and optimizing power supply efficiency. In other words, the initial power coverage area is adjusted towards the user's work area without affecting the overall power coordination.

[0156] S4, combining the initial coverage radius of each parking lot and the core coverage radius of each target power consumption site, determines the V2G power coverage area of ​​each parking lot in the current sub-period.

[0157] Considering the need for targeted power coverage for large power-consuming sites that contribute to V2G power supply, prioritizing their areas and adjacent areas for power consumption, this embodiment uses each large power-consuming site as the center and determines the core coverage area of ​​each power-consuming site through its core coverage radius.

[0158] Specifically, for any parking lot, the initial power supply coverage area of ​​the parking lot and the power coverage area of ​​each corresponding target power consumption site are obtained; the union area of ​​the power coverage areas of each target power consumption site corresponding to the parking lot is determined, and the intersection area of ​​the union area and the initial power supply coverage area of ​​the parking lot is taken as the V2G power coverage area of ​​the parking lot.

[0159] The radius of the initial power supply coverage area is the initial coverage radius, and the radius of the power coverage area is the core coverage radius.

[0160] A schematic diagram illustrating the process of determining the V2G power coverage area is shown below. Figure 4 As shown, in Figure 4 In the diagram, A, B, C, and D are all large-scale power consumption sites. The dashed lines represent the core coverage radius of each large-scale power consumption site, and E represents the initial power supply coverage area of ​​the parking lot.

[0161] It should be noted that by adaptively adjusting the power coverage area and optimizing the dynamic allocation of multiple energy sources, it helps to enhance the power grid's supply and demand balance and stability.

[0162] Thus, the V2G power coverage area identified for parking lots in the city can meet the daily power demand. Furthermore, for each parking lot's designated area, if excessive V2G power generation occurs, it can be stored in local energy storage devices and released when needed.

[0163] S5 utilizes a multi-port energy router for coordinated energy control, based on V2G power coverage areas and non-V2G power coverage areas within cities.

[0164] Here, the V2G power coverage area refers to the control area that is powered solely by V2G power. The non-V2G power coverage area in the city refers to other areas outside the V2G power coverage area corresponding to each parking lot in the city that has deployed V2G, that is, other areas controlled by other green energy power generation.

[0165] Analyzing the V2G system in the parking lot area can effectively determine the corresponding power coverage. However, other areas in the city, if not covered by the synergistic effect of V2G, cannot utilize the efficient power supply methods of neighboring parking lots for power distribution. Furthermore, urban power supply relies not only on V2G systems but also on green energy generation methods such as photovoltaic and wind power. Compared to V2G, these green energy generation methods are more susceptible to seasonality and weather changes, resulting in lower stability and predictability in power generation.

[0166] Therefore, in the context of multiple power generation methods coexisting, the power output of each method should be dynamically analyzed, and the priority of currently stable power generation methods should be determined based on their dominance. In this way, stable power generation methods can be prioritized for supplementing power in areas not covered by V2G, ensuring the balance and stability of the city's power supply.

[0167] As an exemplary implementation, the priority order for different power generation methods in non-V2G power coverage areas includes:

[0168] The first step is to obtain the historical power generation and historical annual power generation of several power generation methods in various preset historical time periods.

[0169] In this embodiment, a preset number of green energy power generation methods are obtained. The number of invention methods needs to be determined by the implementer based on the specific power generation methods existing in different cities, and no specific limitation is made here.

[0170] As an example, the city's power management system can be used to obtain the monthly and annual power generation figures for various forms of power generation from the previous year.

[0171] The second step is to determine the power production capacity performance of each power generation method in each historical period and historical annual power generation based on the power generation volume of each power generation method in each historical preset period.

[0172] Here, the power capacity performance index is determined by the monthly power generation capacity of each power generation method and the dominant utilization of different power generation methods. The higher the power capacity performance index, the greater the power generation priority of the corresponding power generation method in the corresponding month.

[0173] Specifically, for any given power generation method, the power generation capacity of that method in each historical preset period is determined based on its power generation in each historical period and its historical annual power generation; the dominant utilization of that method is determined based on its historical annual power generation and the historical annual power generation of all power generation methods; and the power production performance of that method in each historical preset period is determined by combining its power generation capacity and dominant utilization.

[0174] The third step is to determine the priority order for different power generation methods in non-V2G power coverage areas under each historical preset time period, based on the power capacity performance of each power generation method in descending order.

[0175] In this embodiment, for the non-V2G power coverage area under the current sub-time period, power regulation is performed by prioritizing different power generation methods under the corresponding historical preset time period. For example, if the current preset time period is January, the priority order of different power generation methods corresponding to the non-V2G power coverage area under January of the previous year is obtained.

[0176] In summary, V2G electricity has significant advantages compared to other renewable energy sources. Therefore, when dividing the electricity consumption area of ​​a city in the current sub-period, the area is divided into V2G coverage areas and non-V2G coverage areas. Energy control in V2G coverage areas is achieved solely through V2G electricity. For non-V2G coverage areas, this invention analyzes the power generation characteristics of different power generation methods to adaptively determine the priority of power generation methods for different time periods, thereby achieving energy control in these areas. By dividing the area into V2G and non-V2G coverage areas, this invention facilitates the coordinated allocation of energy in the power grid system through multi-port energy routers, fully ensuring the stability and efficiency of the power grid in different areas, and guaranteeing intelligent power dispatch and optimal allocation.

[0177] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. An energy coordination control method based on dynamic division of V2G electric energy coverage areas, characterized in that, The method comprises: acquiring vehicle entry and exit registration information of each user vehicle in a plurality of parking lots with deployed V2G in the city in a preset time period; the preset time period is divided into a plurality of sub-time periods; the vehicle entry and exit registration information comprises parking time of the user vehicle in the preset time period, entry and exit times and arrival time points of the user vehicle in each sub-time period; the entry and exit times reflect the effective degree of the user's professional nature on the utilization of the power grid, and the parking time reflects whether the user vehicle is a fixed user of the parking lot; analyzing user vehicle habits according to the vehicle entry and exit registration information of each parking lot to determine a theoretical total power supply amount of each parking lot in a current sub-time period; the theoretical total power supply amount of the current sub-time period is determined according to a theoretical power supply contribution degree of the current sub-time period, a theoretical power supply contribution degree of a previous sub-time period and an actual V2G power supply total amount; the theoretical power supply contribution degree of the current sub-time period is a first cumulative value of power supply contribution degrees of all theoretical user vehicles in the current sub-time period, the theoretical user vehicles are user vehicles that arrive at a corresponding theoretical arrival time period in the current sub-time period, and the power supply contribution degree of the user vehicle is determined according to the entry and exit times of the user vehicle in each sub-time period and the parking time of the user vehicle in the preset time period; the power supply contribution degree refers to the ability of the user vehicle as a distributed energy storage unit to provide flexible power support to the power grid; determining an initial coverage radius of each parking lot according to the theoretical total power supply amount; analyzing power supply participation of fixed users of the parking lot through the initial coverage radius to determine core coverage radii of each target power consumption site corresponding to each parking lot; combining the initial coverage radius of each parking lot and the core coverage radii of each target power consumption site, a V2G electric energy coverage area of each parking lot in the current sub-time period is determined; based on the V2G electric energy coverage area and a non-V2G electric energy coverage area in the city, energy coordination control is performed by using a multi-port energy router. 2.The energy coordination control method based on dynamic division of V2G electric energy coverage areas according to claim 1, characterized in that, determining the power supply contribution degree of the user vehicle according to the entry and exit times of the user vehicle in each sub-time period and the parking time of the user vehicle in the preset time period, comprising: acquiring an electricity relative load degree of each sub-time period, and determining a sub-power supply contribution degree of the user vehicle in each sub-time period according to the entry and exit times of the user vehicle in each sub-time period and the electricity relative load degree; the electricity relative load degree represents total electricity consumption of power consumption sites in a parking lot adjacent area; determining the power supply contribution degree of the user vehicle according to a second cumulative value of the sub-power supply contribution degree of the user vehicle in each sub-time period and combining the parking time in the preset time period; the second cumulative value and the parking time are positively correlated with the power supply contribution degree. 3.The energy coordination control method based on dynamic division of V2G electric energy coverage areas according to claim 2, characterized in that, determining the sub-power supply contribution degree of the user vehicle in each sub-time period according to the entry and exit times of the user vehicle in each sub-time period and the electricity relative load degree, comprising: calculating a first product of the entry and exit times of the user vehicle in the same sub-time period and the electricity relative load degree; performing negative correlation normalization processing on the first product to obtain a first normalized value, and taking the first normalized value as the sub-power supply contribution degree of the user vehicle in the corresponding sub-time period. 4.The energy coordination control method based on dynamic division of V2G electric energy coverage areas according to claim 1, characterized in that, According to the theoretical power supply contribution degree of the parking lot in the current sub-period, the theoretical power supply contribution degree of the previous sub-period and the actual V2G power supply total amount, the theoretical power supply total amount of the parking lot in the current sub-period is determined, comprising: A first ratio of the theoretical power supply contribution degree of the parking lot in the current sub-period to the theoretical power supply contribution degree of the previous sub-period is calculated, and a second product of the first ratio and the actual V2G power supply total amount of the previous sub-period is taken as the theoretical power supply total amount of the parking lot in the current sub-period.

5. The energy coordination control method based on dynamic division of V2G electric energy coverage areas according to claim 1, characterized in that, The initial coverage radius of each parking lot is determined according to the theoretical power supply total amount, comprising: For any parking lot, the power supply coverage area of each to-be-determined radius is obtained by gradually expanding outward from the parking lot as the center to a preset radius at a preset step length; The first total power consumption of all power consumption sites in each to-be-determined radius power supply coverage area in the current sub-period and the second total power consumption of all power consumption sites in each to-be-determined radius power supply coverage area in the corresponding several historical sub-periods in the current sub-period are obtained; the historical sub-periods are the same as the week name of the current sub-period; For each to-be-determined radius power supply coverage area, a second ratio is determined according to the comparison result of the first total power consumption and the second total power consumption average of the to-be-determined radius power supply coverage area corresponding to the to-be-determined radius power supply coverage area; A comparison threshold is set, and the estimated power consumption of each to-be-determined radius power supply coverage area is determined according to the comparison result of each second ratio and the comparison threshold; The initial coverage radius of the parking lot is determined according to the estimated power consumption of each to-be-determined radius power supply coverage area and the theoretical power supply total amount.

6. The energy coordination control method based on dynamic division of V2G electric energy coverage areas according to claim 5, characterized in that, The second ratio is determined according to the comparison result of the first total power consumption and the second total power consumption average of the to-be-determined radius power supply coverage area corresponding to the to-be-determined radius power supply coverage area, comprising: When the first total power consumption is less than the second total power consumption average, the ratio of the first total power consumption to the second total power consumption average is taken as the second ratio; When the first total power consumption is greater than the second total power consumption average, the ratio of the second total power consumption average to the first total power consumption is taken as the second ratio.

7. The energy coordination control method based on dynamic division of V2G electric energy coverage areas according to claim 5, characterized in that, The estimated power consumption of each to-be-determined radius power supply coverage area is determined according to the comparison result of each second ratio and the comparison threshold, comprising: When the second ratio is greater than or equal to the comparison threshold, the maximum value of the first total power consumption and the second total power consumption is taken as the estimated power consumption of the corresponding to-be-determined radius power supply coverage area, otherwise the average value of the first total power consumption and the second total power consumption average is taken as the estimated power consumption of the corresponding to-be-determined radius power supply coverage area. 8.The energy coordination control method based on dynamic division of V2G electric energy coverage area according to claim 5, wherein, The initial coverage radius of the parking lot is determined according to the estimated power consumption of each to-be-determined radius power supply coverage area and the theoretical power supply total amount, comprising: From all the to-be-determined radii, the to-be-determined radius with the estimated power consumption less than the theoretical power supply total amount is selected as the target radius; The difference between the theoretical power supply total amount and the estimated power consumption of the power supply coverage area of each target radius is calculated, and the target radius corresponding to the minimum difference is taken as the initial coverage radius of the parking lot. 9.The energy coordination control method based on dynamic division of V2G electric energy coverage area according to claim 1, wherein, The power supply participation of the fixed users in the parking lot is analyzed according to the initial coverage radius, and the core coverage radius of each target power consumption place corresponding to each parking lot is determined, including: For any parking lot, the working place of the user existing in the initial power supply coverage area centered on the parking lot is obtained, which is recorded as a target power consumption place, and then the number of theoretical users in all target power consumption places is counted; The second normalized value obtained by normalizing the number of theoretical users is taken as the V2G participation contribution degree of the power consumption place; According to the V2G participation contribution degree of each power consumption place and the initial coverage radius, the core coverage radius of each target power consumption place corresponding to the parking lot is determined.

10. The energy coordination control method based on dynamic division of V2G electric energy coverage areas according to claim 1, characterized in that, The V2G electric energy coverage area of each parking lot in the current sub-period is determined by combining the initial coverage radius of each parking lot and the core coverage radius of each target power consumption place, including: For any parking lot, the initial power supply coverage area of the parking lot and the power coverage area of each target power consumption place corresponding to the parking lot are obtained, the radius of the initial power supply coverage area is the initial coverage radius, and the radius of the power coverage area is the core coverage radius; The intersection area of the union area of the power coverage areas of each target power consumption place corresponding to the parking lot and the initial power supply coverage area of the parking lot is taken as the V2G electric energy coverage area of the parking lot.

11. The energy coordination control method based on dynamic division of V2G electric energy coverage areas according to claim 1, characterized in that, The priority selection order of different power generation modes corresponding to the non-V2G electric energy coverage area is obtained, including: The historical period power generation amount and the historical annual power generation amount of a plurality of power generation modes in each historical preset period are obtained; According to each historical period power generation amount and the historical annual power generation amount of each power generation mode, the power generation performance degree of each power generation mode in each historical preset period is determined; For each historical preset period, the power generation performance degree of each power generation mode in the historical preset period is taken as the priority selection order of different power generation modes corresponding to the non-V2G electric energy coverage area in the historical preset period in descending order.

12. The energy coordination control method based on dynamic division of V2G electric energy coverage areas according to claim 11, characterized in that, According to each historical period power generation amount and the historical annual power generation amount of each power generation mode, the power generation performance degree of each power generation mode in each historical preset period is determined, including: For any power generation mode, according to each historical period power generation amount and the historical annual power generation amount of the power generation mode, the power generation capacity degree of the power generation mode in each historical preset period is determined; According to the historical annual power generation amount of the power generation mode and the historical annual power generation amount of all power generation modes, the dominant utilization degree of the power generation mode is determined; The power generation performance degree of the power generation mode in each historical preset period is determined by combining the power generation capacity degree and the dominant utilization degree.

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