Energy scheduling strategy determination method and device for charging and swapping station and computer device

Abstract

The application relates to a charging and battery swapping station energy scheduling strategy determination method and device and a computer device. The method comprises the following steps: obtaining operation data and energy demand data of a plurality of charging and battery swapping stations; for each charging and battery swapping station, evaluating an energy scheduling priority of the charging and battery swapping station according to the energy demand data; for each energy scheduling priority, determining an energy scheduling strategy of the charging and battery swapping station corresponding to the energy scheduling priority according to the energy scheduling priority, the operation data and the energy demand data of the charging and battery swapping station corresponding to the energy scheduling priority; and adjusting a first energy scheduling power in the energy scheduling strategy corresponding to the energy scheduling priority according to the operation data and the energy demand data of the charging and battery swapping station corresponding to the energy scheduling priority in different energy scheduling periods, so as to obtain a target energy scheduling strategy corresponding to the energy scheduling priority. The method is beneficial to improving energy utilization efficiency.

Description

Technical Field

[0001] This application relates to the field of charging and battery swapping station technology, and in particular to a method, apparatus and computer equipment for determining energy dispatching strategies for charging and battery swapping stations. Background Technology

[0002] As a key infrastructure for energy replenishment of new energy vehicles, the rationality and efficiency of energy dispatching of charging and battery swapping stations are of paramount importance. Furthermore, with the popularization of new energy vehicles, the energy demand of charging and battery swapping stations is increasing and becoming more complex.

[0003] However, the energy dispatching schemes for charging and battery swapping stations are not adaptable to different dispatching scenarios, thus reducing the overall energy utilization efficiency of the charging and battery swapping stations. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for determining energy dispatch strategies for charging and battery swapping stations that can improve energy utilization efficiency, in order to address the above-mentioned technical problems.

[0005] Firstly, this application provides a method for determining the energy dispatch strategy of a charging / swapping station, including:

[0006] Obtain operational data and energy demand data from multiple charging and battery swapping stations;

[0007] For each charging and battery swapping station, the energy dispatch priority of the charging and battery swapping station is assessed based on energy demand data.

[0008] For each energy dispatch priority, the energy dispatch strategy for the corresponding charging and battery swapping station is determined based on the energy dispatch priority, the operation data of the charging and battery swapping station corresponding to the energy dispatch priority, and the energy demand data.

[0009] Based on the operation data and energy demand data of the charging and battery swapping stations corresponding to the energy dispatch priority during different energy dispatch periods, the first energy dispatch power in the energy dispatch strategy corresponding to the energy dispatch priority is adjusted to obtain the target energy dispatch strategy corresponding to the energy dispatch priority.

[0010] Secondly, this application also provides a device for determining the energy dispatch strategy of a charging and swapping station, comprising:

[0011] The data acquisition module is used to acquire operational data and energy demand data from multiple charging and battery swapping stations.

[0012] The priority assessment module is used to assess the energy dispatch priority of each charging and battery swapping station based on energy demand data.

[0013] The first scheduling strategy determination module is used to determine the energy scheduling strategy of the charging and battery swapping station corresponding to each energy scheduling priority, based on the energy scheduling priority, the operation data of the charging and battery swapping station corresponding to the energy scheduling priority, and the energy demand data.

[0014] The second scheduling strategy determination module is used to adjust the first energy scheduling power in the energy scheduling strategy corresponding to the energy scheduling priority based on the operation data and energy demand data of the charging and swapping stations corresponding to the energy scheduling priority during different energy scheduling periods, so as to obtain the target energy scheduling strategy corresponding to the energy scheduling priority.

[0015] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in any of the above embodiments of the method for determining energy dispatch strategy for charging and swapping stations.

[0016] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps in any of the above embodiments of the method for determining energy dispatch strategy for charging and swapping stations.

[0017] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps in any of the above embodiments of the method for determining energy dispatch strategy for charging and swapping stations.

[0018] The aforementioned method, apparatus, computer equipment, computer-readable storage medium, and computer program product for determining energy dispatch strategies for charging and battery swapping stations firstly acquire operational and energy demand data from multiple charging and battery swapping stations. For each station, the energy dispatch priority under its current real-time operating condition is assessed based on the energy demand data. Secondly, the charging and battery swapping stations are divided according to their energy dispatch priorities. For each energy dispatch priority, the energy dispatch strategy corresponding to that priority is determined based on that priority, the operational data of the corresponding charging and battery swapping station, and its energy demand data. Thus, for charging and battery swapping stations operating under different conditions, corresponding energy dispatch strategies are customized according to their energy dispatch priorities, improving the applicability and reliability of the energy dispatch strategy. Simultaneously, this facilitates… This approach ensures that urgent energy needs are met promptly, reducing the likelihood of vehicles waiting for extended periods due to power shortages. Furthermore, considering the dynamic changes in operating status and energy demand during the actual operation of charging and battery swapping stations, the energy dispatching power in the energy dispatching strategy is adjusted based on the operating data and energy demand data of the corresponding charging and battery swapping stations during different energy dispatching periods for each energy dispatching priority. This yields the target energy dispatching strategy for each priority. This allows for adjustments to energy dispatching power based on real-time changes in vehicle charging and battery swapping demand, enabling more efficient energy transmission to the demand nodes of charging and battery swapping stations. Simultaneously, it improves the targeting and timeliness of energy dispatching, increases energy transmission efficiency, reduces ineffective transmission and waste, and further enhances grid stability. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is an application environment diagram of the energy dispatch strategy determination method for charging and battery swapping stations in one embodiment.

[0021] Figure 2 This is a flowchart illustrating a method for determining the energy dispatch strategy of a charging and battery swapping station in one embodiment.

[0022] Figure 3 This is a flowchart illustrating the method for determining the energy dispatch strategy of a charging and battery swapping station in another embodiment.

[0023] Figure 4 This is a flowchart illustrating the method for determining the energy dispatch strategy of a charging and battery swapping station in yet another embodiment.

[0024] Figure 5 This is a flowchart illustrating the method for determining the energy dispatch strategy of a charging and battery swapping station in another embodiment.

[0025] Figure 6 This is a structural block diagram of a charging / swapping station energy dispatch strategy determination device in one embodiment.

[0026] Figure 7 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0028] The method for determining the energy dispatch strategy of charging and battery swapping stations provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104, or it can be located in the cloud or on another network server.

[0029] Specifically, terminal 102 can upload the operation data and energy demand data of multiple charging and battery swapping stations to server 104, and then send a charging and battery swapping station energy dispatch strategy determination message to server 104 through terminal 102. Server 104 obtains the operation data and energy demand data of multiple charging and battery swapping stations, evaluates the energy dispatch priority of the charging and battery swapping stations, and then, for each energy dispatch priority, determines the energy dispatch strategy of the charging and battery swapping station corresponding to the energy dispatch priority based on the energy dispatch priority, the operation data and energy demand data of the charging and battery swapping station corresponding to the energy dispatch priority, and finally, adjusts the first energy dispatch power in the energy dispatch strategy corresponding to the energy dispatch priority based on the operation data and energy demand data of the charging and battery swapping station corresponding to the energy dispatch priority in different energy dispatch periods, so as to obtain the target energy dispatch strategy corresponding to the energy dispatch priority.

[0030] The terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, etc. The server 104 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0031] In one exemplary embodiment, such as Figure 2 As shown, a method for determining the energy dispatch strategy of a charging and battery swapping station is provided, which can be applied to... Figure 1 Taking server 104 as an example, the explanation includes the following steps (hereinafter referred to as S): S100 to S400. Wherein:

[0032] The S100 acquires operational data and energy demand data from multiple charging and battery swapping stations.

[0033] The operational data includes photovoltaic (PV) power generation data, energy storage data, and grid load data. PV power generation data can include the power output and capacity of the PV system, characterizing its power generation capacity. Energy storage data can include the remaining electricity provided or stored by energy storage devices. Grid load data can include the grid's dispatchable power, characterizing the power support the grid can provide. Energy demand data may include, but is not limited to, the number of vehicles awaiting charging or battery swapping, remaining battery power, and vehicle usage time.

[0034] In practical implementation, for photovoltaic power generation data, the data acquisition terminal can collect the real-time photovoltaic power generation and power output of the photovoltaic inverter and send the photovoltaic power generation and power output to the server in real time; for energy storage data, the energy storage battery management system can detect the remaining power of the energy storage device and send the remaining power of the energy storage device to the server; for grid power supply load data, the power available for grid dispatch can be obtained through the power management system; for energy demand data, the number of vehicles waiting to be charged or swapped, the remaining power, and the vehicle owner's usage time can be obtained from the management system of the charging and swapping station.

[0035] The S200 assesses the energy dispatch priority of each charging and battery swapping station based on energy demand data.

[0036] Among them, energy dispatch priority can characterize the urgency of energy demand under the current operating status of charging and battery swapping stations.

[0037] In practice, this can be achieved by pre-setting corresponding comprehensive scoring ranges for multiple energy dispatch priorities, evaluating the comprehensive score of charging and battery swapping stations based on energy demand data, and then determining the energy dispatch level of each station by combining different comprehensive scoring ranges. The comprehensive score evaluation of charging and battery swapping stations can involve setting multiple evaluation indicators based on evaluation objectives and energy demand data, then setting scoring standards for each indicator, determining the scores for different indicators based on the scoring standards and energy demand data, and finally combining the scores of all indicators to obtain the comprehensive score. Evaluation indicators may include, but are not limited to, energy supply and demand matching degree and vehicle owner urgency. Energy supply and demand matching degree can be achieved by first determining the total energy supply based on photovoltaic power generation and energy storage data from the operation data of charging and battery swapping stations; secondly, determining the total energy demand based on the number of charging and battery swapping vehicles and the average remaining battery power per vehicle; and finally, determining the ratio of total energy demand to total energy supply to obtain the energy supply and demand matching degree. Understandably, the higher the energy supply and demand matching degree, the higher the score for this indicator. To assess the urgency of vehicle use for car owners, one can first determine the charging completion time based on the number of vehicles requiring charging and battery swapping, the average remaining battery power of the vehicles, and the preset charging efficiency from the energy demand data. Then, a score can be assigned to assess the urgency of vehicle use based on the ratio of the car owner's usage time to the charging completion time.

[0038] For example, at a certain moment, the operating condition of a charging and battery swapping station in a logistics park is as follows: a batch of electric trucks fully loaded with fresh produce need to urgently switch stations to ensure timely delivery of goods. The drivers have tight time constraints and a large total energy demand. After assessment, under this operating condition, the energy dispatch priority of the charging and battery swapping station is high energy dispatch priority.

[0039] For example, in the charging and battery swapping stations of commercial complex parking lots, the scattered charging and battery swapping needs of vehicles during non-holiday periods are mainly for shopping and office workers. The charging and battery swapping times can be flexibly arranged, and the urgency of vehicle use by car owners is not high. According to the assessment, under this operating condition, the energy dispatch priority of the charging and battery swapping station is medium energy dispatch priority.

[0040] For example, during the off-season, the charging and battery swapping station in the industrial park has very little demand for electric engineering vehicles and is not urgent. According to the assessment, under this operating condition, the energy dispatch priority of the charging and battery swapping station is low.

[0041] S300 determines the energy dispatch strategy for each energy dispatch priority based on the energy dispatch priority, the operation data of the corresponding charging and battery swapping station, and the energy demand data.

[0042] Among them, the energy dispatch strategy represents the energy dispatch strategy of the initially set charging and battery swapping station. The energy dispatch strategy may include the energy dispatch method and energy dispatch power of the charging and battery swapping station.

[0043] In practice, energy dispatch methods can be pre-defined for different energy dispatch priorities, and then the energy dispatch power can be set based on the operating data and energy demand data of charging and battery swapping stations with different energy dispatch priorities. Specifically, following the example above, for charging and battery swapping stations with high energy dispatch priority, the energy dispatch method can be photovoltaic power generation and energy storage power supply, and the energy dispatch power includes photovoltaic power generation power and energy storage power supply power, which can be set according to photovoltaic power generation power, energy storage power supply power, and the total energy demand of the charging and battery swapping station, respectively; for charging and battery swapping stations with medium energy dispatch priority, the energy dispatch method can be grid power supply during the grid parity period, and the energy dispatch power includes grid power supply power; for charging and battery swapping stations with low energy dispatch priority, the energy dispatch method can be redundant photovoltaic power generation, and the energy dispatch power includes photovoltaic power generation power, which can be determined based on photovoltaic power generation and remaining energy storage capacity, and the photovoltaic power generation power can be set based on the redundant power generation and the total energy demand.

[0044] S400 adjusts the first energy dispatch power in the energy dispatch strategy corresponding to the energy dispatch priority based on the operation data and energy demand data of the charging and swapping stations corresponding to the energy dispatch priority during different energy dispatch periods, thereby obtaining the target energy dispatch strategy corresponding to the energy dispatch priority.

[0045] Among them, the first energy dispatch power represents the energy dispatch power in the energy dispatch strategy.

[0046] In this embodiment, considering that the operating data and energy demand data of charging and battery swapping stations may vary significantly at different times, a more granular energy dispatching strategy is formulated to improve the targeting of energy dispatching. Specifically, multiple energy dispatching periods for charging and battery swapping stations can be set, and the operating data and energy demand data of charging and battery swapping stations under each energy dispatching period can be filtered out. For each energy dispatching period, an adjustment coefficient is set according to the degree of change of the operating data and energy dispatching data under the energy dispatching period. The adjusted first energy dispatching power is determined by multiplying the adjustment coefficient and the first energy dispatching power in the energy dispatching strategy, thus obtaining the target energy dispatching strategy for the charging and battery swapping stations corresponding to the energy dispatching priority.

[0047] When using a target energy dispatch strategy to dispatch energy to charging and battery swapping stations, the target energy dispatch strategy corresponding to the high energy dispatch priority is used first to ensure that the needs of charging and battery swapping stations with the energy dispatch priority are met. Secondly, after the needs of high energy dispatch priority are met, the target energy dispatch strategy corresponding to the medium energy dispatch priority is used for energy dispatch. Finally, during off-peak hours, the target energy dispatch strategy corresponding to the low energy dispatch priority is used for energy dispatch.

[0048] In the aforementioned method for determining the energy dispatch strategy for charging and battery swapping stations, firstly, by acquiring operational and energy demand data from multiple charging and battery swapping stations, the energy dispatch priority of each station under its current real-time operating state is assessed based on the energy demand data. Secondly, the charging and battery swapping stations are divided according to their energy dispatch priorities. For each energy dispatch priority, the energy dispatch strategy for the corresponding charging and battery swapping station is determined based on that priority, the operational data of that priority, and the energy demand data of the corresponding charging and battery swapping station. In this way, for charging and battery swapping stations operating under different conditions, corresponding energy dispatch strategies are customized according to their energy dispatch priorities, improving the applicability and reliability of the energy dispatch strategy. Simultaneously, it facilitates the timely fulfillment of urgent energy demands. Firstly, it reduces the likelihood of vehicles waiting for extended periods due to power shortages. Secondly, considering the dynamic changes in operating status and energy demand during the actual operation of charging and battery swapping stations, for each energy dispatch priority, the energy dispatch power in the energy dispatch strategy is adjusted based on the operating data and energy demand data of the corresponding charging and battery swapping station during different energy dispatch periods. This yields the target energy dispatch strategy for each energy dispatch priority. This allows for adjusting the energy dispatch power according to real-time changes in vehicle charging and battery swapping demand, enabling more efficient energy transmission to the demand nodes of charging and battery swapping stations. Simultaneously, it improves the targeting and timeliness of energy dispatch, increases energy transmission efficiency, reduces ineffective transmission and waste, and further enhances the stability of the power grid.

[0049] In one exemplary embodiment, such as Figure 3 As shown, based on the energy dispatch priority, the operation data of the charging and battery swapping stations corresponding to the energy dispatch priority, and the energy demand data, the energy dispatch strategy for the charging and battery swapping stations corresponding to the energy dispatch priority is determined, including S310 to S320:

[0050] S310: For each energy dispatch priority, determine the energy dispatch path corresponding to the preset energy dispatch priority and energy dispatch path.

[0051] In this embodiment, the energy dispatch priority includes a first energy dispatch priority (high energy dispatch priority), a second energy dispatch priority (medium energy dispatch priority), and a third energy dispatch priority (low energy dispatch priority).

[0052] The pre-defined correspondence between energy dispatch priorities and energy dispatch paths can be as follows: For the first energy dispatch priority, priority is given to integrating full-power photovoltaic (PV) generation with high-power energy storage discharge. Therefore, its corresponding energy dispatch path can be PV inverter → battery swapping station, or energy storage battery → battery swapping station A. For the second energy dispatch priority, with moderate energy demand urgency, energy dispatch can be based on a combination of surplus PV power and grid parity electricity. Therefore, its corresponding energy dispatch path can be grid → charging pile or PV inverter → battery swapping station. For the third energy dispatch priority, energy dispatch can be based on off-peak grid power or surplus PV power. Therefore, its corresponding energy dispatch path can be PV inverter → charging pile.

[0053] In practice, for each energy dispatch priority, the energy dispatch path that matches the energy dispatch priority is found from the preset correspondence between energy dispatch priorities and energy dispatch paths. The found energy dispatch path is the energy dispatch path of the charging and battery swapping station under the energy dispatch priority.

[0054] S320: Based on the operation data, energy demand data, and energy dispatch path of the charging and battery swapping stations corresponding to the energy dispatch priority, determine the first energy dispatch power of the charging and battery swapping stations corresponding to the energy dispatch priority. The energy dispatch strategy includes the energy dispatch path and the first energy dispatch power of the charging and battery swapping stations corresponding to each energy dispatch priority.

[0055] In practice, for each energy dispatch priority, the energy supply end in the energy dispatch path corresponding to that energy priority can be determined. Then, the operation data of the energy supply end can be obtained from the operation data. Based on the operation data of the energy supply end, the total energy demand of the charging and swapping station, and the average vehicle owner's usage time, the energy dispatch power of the energy supply end can be determined, that is, the first energy dispatch power is obtained.

[0056] For example, assume that charging / swapping station A corresponds to the first energy dispatch priority, charging / swapping station B corresponds to the second energy dispatch priority, and charging / swapping station C corresponds to the third energy dispatch priority. For the first energy dispatch priority, the energy supply end (power supply equipment) of the energy dispatch path for charging / swapping station A includes photovoltaic inverters and energy storage devices. Then, the photovoltaic power generation and remaining energy storage capacity are extracted from the operating data of charging / swapping station A. The product of the number of vehicles waiting to be charged / swapped at charging / swapping station A and the average power demand per vehicle is determined to obtain the total energy demand of charging / swapping station A. Based on the total energy demand, average vehicle owner usage time, photovoltaic power generation, and remaining energy storage capacity, the photovoltaic power generation capacity and energy storage power supply capacity are determined. For example, a charging / swapping station needs to complete the charging / swapping of 20 electric vehicles within 15 minutes during peak hours for concentrated taxi battery swapping. The set photovoltaic power generation capacity is 60 kW, and the energy storage power supply capacity is 100 kW.

[0057] For example, for the second energy dispatch priority, if the energy supply side of the energy dispatch path of charging and battery swapping station B includes the power grid, then the power grid load data can be extracted from the operating data of charging and battery swapping station B. Based on the total energy demand of charging and battery swapping station B, the average vehicle usage time, and the power grid load data, the power grid supply capacity can be determined. For example, at a certain time, a charging and battery swapping station near a residential area needs to complete the charging of 10 private cars within 1 hour, and the grid parity power supply capacity is set to 80 kilowatts.

[0058] For example, regarding the third energy dispatch priority, if the energy supply side of the energy dispatch path for charging and battery swapping station C includes a photovoltaic inverter, then the photovoltaic redundant power generation can be extracted from the operating data of charging and battery swapping station C. Based on the total energy demand of charging and battery swapping station C, the average vehicle usage time, and the photovoltaic redundant power generation, the photovoltaic power generation of the photovoltaic inverter can be determined. For instance, for charging and battery swapping stations with only sporadic vehicle charging and swapping, where vehicle usage time is more flexible, the photovoltaic power generation of the photovoltaic inverter can be set to 20 kilowatts to complete charging and battery swapping during off-peak hours.

[0059] In this embodiment, setting energy dispatch paths and energy dispatch intensities for different energy dispatch priorities helps improve the accuracy of energy dispatch and reduce dispatch costs.

[0060] In one exemplary embodiment, such as Figure 4 As shown, based on the operating data, energy demand data, and energy dispatch path of the charging and battery swapping stations corresponding to the energy dispatch priority, the first energy dispatch power corresponding to the energy dispatch priority is determined, including S322 to S328, wherein:

[0061] S322, obtain the energy transmission efficiency and energy loss coefficient of the energy scheduling path, and determine the first scheduling obstacle factor based on the energy transmission efficiency and energy loss coefficient.

[0062] Among them, the first scheduling obstacle factor characterizes the impact of energy loss on energy scheduling power.

[0063] In practice, obtaining the energy loss coefficient can be achieved through the following methods: First, a theoretical model of energy loss is established based on the energy transmission medium (such as the material, length, and cross-sectional area of ​​the cable) and the transmission direction (such as the path from the photovoltaic inverter to the battery swapping station), and the theoretical loss ratio is calculated. Then, the theoretical model is calibrated by combining real-time operating data of the charging and battery swapping station (such as electricity metering data at both ends of the transmission path), and the final energy loss ratio is the loss coefficient. For example, if a transmission path from the energy storage battery to the battery swapping station has a 5% loss due to the cable length and material, and the actual loss is found to be 4.8% through actual electricity metering, the loss coefficient for this energy dispatching path is determined to be 4.8%.

[0064] Among them, energy dispatch transmission efficiency can be obtained by determining the ratio of the actual power obtained by the load to the total output power of the power supply during the energy transmission process.

[0065] Subsequently, the first scheduling barrier factor can be determined by the following formula. :

[0066]

[0067] in, The energy transmission efficiency of the energy dispatch path for the charging and battery swapping station with the first energy dispatch priority is [0,1]. The loss coefficient has a value range of [0,1]. This represents the maximum energy transmission efficiency of the energy dispatch path for charging and battery swapping stations with the highest energy dispatch priority within the historical statistical period.

[0068] S324, based on energy demand data, assesses the urgency of energy demand at charging and battery swapping stations to obtain the energy demand urgency level.

[0069] In specific implementation, the method for assessing the urgency of energy demand at charging and battery swapping stations based on energy demand data can be as described in the above embodiment, where a comprehensive score is determined based on the energy demand data to obtain a comprehensive score characterizing the urgency of energy demand. Subsequently, the comprehensive score is mapped to the [0,1] interval to obtain the urgency of energy demand.

[0070] S326, obtain the total energy demand and the energy transmission distance of the energy dispatch path, and determine the first dispatch decision factor based on the energy transmission distance, the total energy demand and the urgency of energy demand.

[0071] The energy transmission distance can include the physical distance between the energy supply end (such as a photovoltaic power station, energy storage equipment, etc.) and the energy demand node (such as the parking area for vehicles waiting to be charged or swapped, the battery swapping cabinet, etc.) in the energy dispatch path. For example, if the energy supply end is a photovoltaic array located on the north side of the charging and swapping station, and the energy demand node is the taxi battery swapping area on the south side, then the transmission distance between the two is the actual spatial distance from the photovoltaic array to the taxi battery swapping area.

[0072] Among them, the first scheduling decision factor characterizes the impact of the spatial cost of energy transmission on the energy scheduling power.

[0073] In practice, the first scheduling decision factor can be determined by the following formula. :

[0074]

[0075] in, Due to the urgency of energy demand, This represents the total energy demand of the charging and battery swapping stations corresponding to the first energy dispatch priority. The maximum total energy demand of the charging and battery swapping station corresponding to the first energy dispatch priority during the historical period is given by k, which is the distance influence coefficient and L is the energy transmission distance.

[0076] S328, based on the first scheduling obstacle factor, the first scheduling decision factor and the operating data, determine the first energy scheduling power corresponding to the energy scheduling priority.

[0077] In practice, the following steps can be taken: First, extract the operational data of the energy supply side of the energy dispatch path from the operational data. Then, based on the first dispatch decision factor and the operational data of the energy supply side, set a basic energy dispatch power. Next, adjust the basic energy dispatch power based on the first dispatch obstacle factor to obtain the first energy dispatch power. Specifically, the first energy dispatch decision factor reflects the necessity of dispatch. For example, when the energy demand urgency is high, the total energy demand is large, and the energy transmission distance is moderate, the value of the first energy dispatch decision factor is high. In this case, the basic energy dispatch power can be set based on the operational data of the energy supply side of the energy dispatch path corresponding to the energy dispatch priority, the total energy demand, and the first energy dispatch decision factor. The first energy dispatch obstacle factor reflects the difficulty of dispatch. For example, when the energy transmission efficiency is low and the loss is high, the value of the first energy dispatch obstacle factor is high, requiring a reduction in the basic energy power. Therefore, the method for adjusting the basic energy dispatch power based on the first energy dispatch obstacle factor can be: if the first energy dispatch obstacle factor is less than a preset threshold, increase the basic energy dispatch power to obtain the first energy dispatch power; otherwise, decrease the basic energy dispatch power to obtain the first energy dispatch power.

[0078] For example, for a charging and swapping station with the first energy dispatch priority, the energy supply side of its energy dispatch path includes photovoltaic inverters and energy storage devices. The extracted operating data includes photovoltaic power generation, photovoltaic power output, remaining energy storage capacity, and energy storage discharge power. The basic energy dispatch power can be set based on photovoltaic power generation, photovoltaic power output, remaining energy storage capacity, energy storage discharge power, total energy demand, and the first energy dispatch decision factor. The basic energy dispatch power includes basic photovoltaic power generation and basic energy storage discharge power. For example, assuming that the energy storage discharge power in the basic energy dispatch power is 100 kilowatts, if the first energy dispatch obstacle factor is less than the first energy dispatch obstacle factor threshold, then the energy storage discharge power in the first energy dispatch power is 110 kilowatts.

[0079] In this embodiment, by determining the first energy dispatch decision factor and the first energy dispatch obstacle factor, and combining the operating data to determine the first energy dispatch power, a balance between necessity and feasibility of energy dispatch is achieved, providing accurate power dispatch parameters for energy allocation with different energy dispatch priorities.

[0080] In an exemplary embodiment, the acquisition methods for different energy dispatch periods include S332 to S334, wherein:

[0081] S332, for each energy dispatch priority, analyzes the energy supply and demand trend of the charging and battery swapping station based on the operation data and energy demand data of each energy demand node in the charging and battery swapping station corresponding to the energy dispatch priority, and obtains the trend analysis results.

[0082] The trend analysis results can include data inflection points for photovoltaic power generation, remaining energy storage capacity, grid load, and total energy demand.

[0083] In practice, the coverage area of ​​each demand node in the charging and battery swapping station can be determined first, and then the changing trend of energy demand data in the coverage area can be analyzed for each demand node.

[0084] Specifically, taking a centralized charging and battery swapping station as an example, energy demand nodes can include vehicles waiting to be charged or swapped and battery swapping cabinets. Methods for obtaining the coverage area of ​​energy demand nodes can include: for vehicles waiting to be charged or swapped, the physical location of each parking space can be determined using a parking space positioning system within the charging and swapping station (such as RFID or camera positioning). Based on the physical location of the parking space, the location of the charging interface of the vehicle waiting to be charged or swapped, and the transmission radius of the charging gun, the coverage area of ​​the vehicle waiting to be charged or swapped as an energy demand node (characterizing the area effectively receiving energy transmission) can be determined.

[0085] For battery swapping cabinets, the geographical range of the service area of ​​the battery swapping cabinet can be defined based on the physical location of the cabinet and the operating radius of the battery transmission device. For example, the area with a radius of 5 meters centered on the physical location of the battery swapping cabinet can be the coverage area of ​​the battery swapping cabinet as an energy demand node.

[0086] Analyzing the energy supply and demand trends of charging and battery swapping stations includes trends on both the energy supply and demand sides. The energy supply trend can be analyzed by detecting inflection points in the operational data, such as photovoltaic power generation, remaining energy storage capacity, and grid load. Similarly, the energy demand trend can be analyzed by detecting inflection points in the total energy demand.

[0087] For example, for a charging and battery swapping station with the first energy dispatch priority, on the energy supply side: detect the data inflection point of photovoltaic power generation in the real-time data of the photovoltaic inverter (such as when the power generation drops sharply from 100 kWh to 50 kWh when the weather changes from sunny to cloudy); detect the data inflection point of the remaining energy storage capacity through the energy storage battery management system (BMS) (such as when the remaining capacity drops from 80% to 50% after a large discharge in a certain period of time).

[0088] For the energy demand side: energy demand data can be obtained through the order system of charging and battery swapping stations. The number of vehicles waiting to be charged and swapped at the charging and battery swapping stations and the average remaining battery power of the vehicles can be counted to further determine the total energy demand. Subsequently, the data inflection point of the total energy demand can be detected. For example, if 10 taxis urgently waiting to swap batteries suddenly flood in during a certain period, the demand jumps from 5 to 15 vehicles, and the average remaining battery power of the vehicles waiting to be charged drops from 20% to 10%, the total energy demand will increase significantly.

[0089] S334, based on the trend analysis results, divides the energy dispatch period into multiple time periods.

[0090] In practice, the time corresponding to the data inflection point of the energy supply side operation data in the trend analysis results, and the time corresponding to the data inflection point of the total energy demand on the energy demand side, can be used to divide the preset time period (such as 1 hour, half an hour, etc.) into multiple energy dispatch time periods to obtain a set of energy dispatch time periods.

[0091] For example, suppose a charging / swapping station with the first energy dispatch priority has 3 energy demand nodes (nodes A, B, and C), covering regions 1, 2, and 3 respectively, and the following energy supply and demand changes are detected, and the following energy dispatch period is set:

[0092] Time Period 1 (08:00-08:15): Photovoltaic power generation is sufficient (80kW), energy storage has 70% remaining power, and the high priority demand is for 10 emergency vehicles, concentrated in the coverage area of ​​Node A (Area 1). At this time, a scheduling period for energy transmission from photovoltaic + energy storage to Area 1 is determined to ensure that the charging and battery swapping of these vehicles is completed within this time period.

[0093] Time Period 2 (08:15-08:30): Photovoltaic power generation drops to 40kW, and 5 new high-priority vehicles are added, distributed across the coverage area of ​​Node B (Region 2). At this time, the dispatch is adjusted to prioritize the use of energy storage to transmit energy to Region 2, while supplementing some power from the grid to ensure the needs of Region 2 during this time period.

[0094] Similarly, based on the demand distribution of the node coverage area and the real-time changes in energy supply and demand within different time periods, multiple scheduling periods are divided to ensure that energy transmission in each period can accurately match supply and demand.

[0095] In an exemplary embodiment, the energy dispatch priority includes a first energy dispatch priority, which corresponds to a first charging / swapping station; for each energy dispatch priority, based on the operating data and energy demand data of the charging / swapping station corresponding to the energy dispatch priority during different energy dispatch periods, the first energy dispatch power in the energy dispatch strategy corresponding to the energy dispatch priority is adjusted, including S401 to S406, wherein:

[0096] S401, for each energy dispatch period, obtain the energy dispatch path parameters of the energy dispatch path of the first charging and swapping station within the energy dispatch period, and obtain the first energy dispatch path parameter set.

[0097] In this embodiment, the charging and battery swapping stations are divided into a first charging and battery swapping station, a second charging and battery swapping station, and a third charging and battery swapping station according to energy dispatch priority. The first energy dispatch path parameter set includes energy dispatch path parameters for the first charging and battery swapping station within multiple energy dispatch periods.

[0098] The energy dispatch path parameters may include, but are not limited to, the starting point (such as energy supply ends such as photovoltaic inverters, energy storage devices, grid interfaces, etc.), the ending point (such as energy demand nodes such as battery swapping cabinets, charging piles, vehicles waiting to be charged, etc.), as well as the cable type, length, transmission efficiency of the path, and the operating parameters of electrical equipment (such as switches, transformers, etc.) on the path.

[0099] For example, during the first energy dispatch period, since the energy demand of the first charging and battery swapping station is concentrated in battery swapping cabinet A, its energy dispatch path is photovoltaic inverter (starting point) → battery swapping cabinet A (end point), cable type YJV-3×120, and transmission efficiency is 95%; during the second energy dispatch period, the energy demand is transferred to battery swapping cabinet B, and the path parameters are adjusted to energy storage battery (starting point) → battery swapping cabinet B (end point), cable type YJV-3×95, and transmission efficiency is 92%.

[0100] S402, determine the rate of change between energy dispatch path parameters in adjacent energy dispatch periods in the first energy dispatch path parameter set, and obtain the first path parameter change rate set.

[0101] The first path parameter change rate set includes the change rate of energy dispatch path parameters between multiple adjacent energy dispatch periods.

[0102] For example, suppose two adjacent energy dispatch periods are Energy Dispatch Period 1 (08:00-08:15) and Energy Dispatch Period 2 (08:15-08:30). Then, the rate of change of the energy dispatch path parameters between Energy Dispatch Period 1 and Energy Dispatch Period 2 = [(Energy Dispatch Path Parameters of Energy Dispatch Period 2 - Energy Dispatch Path Parameters of Energy Dispatch Period 1) / Energy Dispatch Path Parameters of Energy Dispatch Period 1] × 100%. In specific implementation, the rate of change between the energy dispatch path parameters of adjacent energy dispatch periods is determined by referring to the above calculation method.

[0103] S403 assesses the urgency of the energy demand of the first charging and battery swapping station based on the energy demand data of the first charging and battery swapping station during each energy dispatch period, and obtains the second energy demand urgency of the first charging and battery swapping station during each energy dispatch period.

[0104] In this embodiment, energy demand data is divided and extracted according to energy dispatch periods. For each energy dispatch period, the urgency of energy demand at the first charging and battery swapping station is assessed based on the energy demand data for that period, resulting in a second energy demand urgency level for the first charging and battery swapping station within that energy dispatch period. The implementation method for assessing the energy demand urgency level based on energy demand data is the same as that described in the previous embodiment and will not be repeated here.

[0105] S404: Obtain the energy transmission efficiency and energy loss coefficient of the energy dispatch path of the first charging and swapping station during each energy dispatch period, and determine the second energy dispatch obstacle factor for each energy dispatch period based on each energy transmission efficiency and each energy loss coefficient.

[0106] Among them, the second energy dispatching obstacle factor characterizes the energy dispatching obstacle factor of the first charging and swapping station under different energy dispatching periods.

[0107] In this embodiment, considering that the energy transmission efficiency and energy loss coefficient of the energy dispatch path differ under different energy dispatch periods, to improve the accuracy of energy dispatch, for each energy dispatch period, a second energy dispatch obstacle factor for the charging and swapping station is determined based on the energy transmission efficiency and energy loss coefficient of the first charging and swapping station within that energy dispatch period. Here, the methods for obtaining the energy transmission efficiency and energy loss coefficient, and the methods for determining the second energy dispatch obstacle factor based on the energy transmission efficiency and energy loss coefficient, refer to the implementation method for obtaining the energy transmission efficiency and energy loss coefficient of the energy dispatch path and determining the first energy dispatch obstacle factor based on the energy transmission efficiency and energy loss coefficient in the above embodiment, and will not be repeated here.

[0108] S405, based on the path parameter change rate set and the urgency of the second energy demand in each energy dispatch period, determine the second energy dispatch decision factor for each energy dispatch period.

[0109] Among them, the second energy dispatch decision factor is the energy dispatch obstacle factor of the first charging and swapping station under different energy dispatch periods.

[0110] In specific implementation, the energy transmission distance of the first charging and battery swapping station under each scheduling period can be obtained by reconstructing the path parameter change rate set. Subsequently, for each energy scheduling period, the second energy scheduling decision factor for the energy scheduling period is determined based on the energy transmission distance, total energy demand, and second energy demand urgency. Referring to the implementation method of determining the first scheduling decision factor based on energy transmission distance, total energy demand, and energy demand urgency in the above embodiment, it will not be repeated here.

[0111] S406, based on the second energy dispatch decision factor, the second energy dispatch obstacle factor and the operating data for each energy dispatch period, determine the second energy dispatch power for each energy dispatch period, and update the first energy dispatch power in the energy dispatch strategy corresponding to the first charging and swapping station to the second energy dispatch power.

[0112] In specific implementation, for each energy dispatch period, the implementation method of the second energy dispatch power for each energy dispatch period is determined based on the second energy dispatch decision factor, the second energy dispatch obstacle factor, and the operating data. Referring to the above embodiment, the implementation method of the first energy dispatch power is determined based on the first energy dispatch decision factor, the first energy dispatch obstacle factor, and the operating data, which will not be repeated here. After obtaining the second energy dispatch power for each energy dispatch period, the first energy dispatch power in the energy dispatch strategy corresponding to the first charging and battery swapping station is updated to the second energy dispatch power, resulting in the updated energy dispatch strategy.

[0113] In this embodiment, for the first energy dispatch priority, the dispatch power is set with finer granularity according to the energy dispatch period, which improves the pertinence and timeliness of energy dispatch.

[0114] In an exemplary embodiment, the energy dispatch priority includes a second energy dispatch priority, which corresponds to a second charging / swapping station; the step of adjusting the first energy dispatch power in the energy dispatch strategy corresponding to each energy dispatch priority based on the operating data and energy demand data of the charging / swapping station corresponding to the energy dispatch priority during different energy dispatch periods further includes steps S407 to S409, wherein:

[0115] S407, determine the intersecting energy dispatch paths in the energy dispatch strategies of the first charging and battery swapping station and the second charging and battery swapping station, extract the energy dispatch path parameters of the intersecting energy dispatch paths from the first energy dispatch path parameters, and obtain the second energy dispatch path parameters.

[0116] In practice, firstly, the energy dispatch paths in the energy dispatch strategy of the first charging and battery swapping station and the intersecting energy dispatch paths in the energy dispatch strategy of the second charging and battery swapping station are determined. Then, for each energy dispatch period, the energy dispatch path parameters of the intersecting energy dispatch paths are extracted from the first energy dispatch path parameters of the corresponding energy dispatch period to obtain the second energy dispatch path parameters for that energy dispatch period. The second energy dispatch path parameters include, but are not limited to, the starting point (such as energy supply ends such as photovoltaic inverters, energy storage devices, grid interfaces, etc.), the ending point (such as energy demand nodes such as battery swapping cabinets, charging piles, vehicles waiting to be charged, etc.), as well as the cable type, length, transmission efficiency of the path, and the operating parameters of electrical equipment (such as switches, transformers, etc.) on the path.

[0117] S408 extracts the third energy dispatch power that matches the second energy dispatch path parameters from the second energy dispatch power.

[0118] In specific implementation, the first energy dispatch path parameters and the second energy dispatch path parameters of each energy dispatch period can be matched, and the second energy dispatch power corresponding to the second energy dispatch path parameters of each energy dispatch period can be selected from the second energy dispatch power of each energy dispatch period. The selected second energy dispatch power can then be determined as the third energy dispatch power.

[0119] In other embodiments, the determination of the third energy dispatch power can refer to the determination of the second energy dispatch power in the above embodiments. Specifically, firstly, the rate of change between the second energy dispatch path parameters in adjacent energy dispatch periods is determined to obtain a set of second path parameter change rates. Then, for each energy dispatch period, the energy demand urgency of the second charging and swapping station is evaluated based on the energy demand data of the charging and swapping station to obtain the third energy demand urgency of the second charging and swapping station in that energy dispatch period. Then, the energy transmission efficiency and energy loss coefficient of the energy dispatch path of the second charging and swapping station in each energy dispatch period are obtained, and the third energy dispatch obstacle factor for each energy dispatch period is determined based on each energy transmission efficiency and each energy loss coefficient. Then, the third energy dispatch decision factor for each energy dispatch period is determined based on the second energy demand urgency and the second path parameter change rate for each energy dispatch period. Finally, the third energy dispatch power is determined based on the third energy dispatch decision factor, the third energy dispatch obstacle factor, and the operating data for each energy dispatch period.

[0120] S409 updates the first energy dispatch power in the energy dispatch strategy corresponding to the second charging and battery swapping station to the third energy dispatch power.

[0121] In practice, after obtaining the third energy dispatch power for each energy dispatch period, the first energy dispatch power in the energy dispatch strategy corresponding to the second charging and battery swapping station is updated to the third energy dispatch power to obtain the updated energy dispatch strategy.

[0122] In this embodiment, for the second energy dispatch priority, the dispatch power is set with finer granularity according to the energy dispatch period, which improves the targeting and timeliness of energy dispatch.

[0123] In an exemplary embodiment, the energy dispatch priority includes a third energy dispatch priority, which corresponds to a third charging / swapping station. For each energy dispatch priority, based on the operating data and energy demand data of the charging / swapping station corresponding to the energy dispatch priority during different energy dispatch periods, the first energy dispatch power in the energy dispatch strategy corresponding to the energy dispatch priority is adjusted, and the method further includes steps S410 to S412, wherein:

[0124] S410, determine the intersecting energy dispatch paths in the first energy dispatch paths of the second charging and swapping station and the third charging and swapping station, extract the energy dispatch path parameters of the intersecting energy dispatch paths from the second energy dispatch path parameters, and obtain the third energy dispatch path parameters.

[0125] In specific implementation, the implementation method for obtaining the third energy dispatch path parameters can refer to the above embodiments. The energy dispatch paths that intersect in the energy dispatch strategies of the first charging and swapping station and the second charging and swapping station are determined. The energy dispatch path parameters of the intersecting energy dispatch paths are extracted from the first energy dispatch path parameters to obtain the implementation method for obtaining the second energy dispatch path parameters. This will not be elaborated further here.

[0126] S411, extract the fourth energy dispatch power that matches the third energy dispatch path parameters from the third energy dispatch power.

[0127] In specific implementation, the implementation method for obtaining the fourth energy dispatch power here can be the same as the implementation method described above, which extracts the third energy dispatch power that matches the second energy dispatch path parameters from the second energy dispatch power. This will not be elaborated further here.

[0128] S412, update the first energy dispatch power in the energy dispatch strategy corresponding to the second charging and swapping station to the fourth energy dispatch power.

[0129] In practice, after obtaining the fourth energy dispatch power for each energy dispatch period, the first energy dispatch power in the energy dispatch strategy corresponding to the third charging and battery swapping station is updated to the fourth energy dispatch power to obtain the updated energy dispatch strategy.

[0130] In this embodiment, for the third energy dispatch priority, the dispatch power is set with finer granularity according to the energy dispatch period, which improves the targeting and timeliness of energy dispatch.

[0131] In an exemplary embodiment, the energy dispatch priority of the charging and battery swapping station is evaluated based on energy demand data, including S201 to S204, wherein:

[0132] S201, based on energy demand data, assess the urgency of energy demand at charging and battery swapping stations to obtain the energy demand urgency level.

[0133] The energy demand data may include, but is not limited to, the number of vehicles awaiting charging or battery swapping, vehicle models, remaining battery power, vehicle owner usage time, and historical urgency frequency. This data is used to characterize the demand for vehicle charging and battery swapping. The historical urgency frequency refers to the frequency within a historical period where the energy demand urgency value of a charging / swapping station exceeds a preset first energy demand urgency threshold.

[0134] In practice, evaluation indicators for assessing the urgency of energy demand at charging and battery swapping stations can be pre-set. Then, based on photovoltaic power generation data, energy storage data, grid power load data, and energy demand data, scores for each evaluation indicator can be determined. Corresponding weights can be assigned to each evaluation indicator and scores can be quantified (e.g., 0-10 points). Finally, the urgency of energy demand can be obtained by weighted summation.

[0135] For example, evaluation indicators may include the number of vehicles awaiting charging / swapping, the average remaining battery power of vehicles, the urgency of vehicle usage time for owners, and the frequency of historical urgency. Scoring criteria for each evaluation indicator are pre-set according to evaluation needs. For example, the scoring criteria for each evaluation indicator are as follows: the more vehicles awaiting charging / swapping, the higher the score; the lower the average remaining battery power of vehicles, the higher the score; the more urgent the vehicle usage time for owners, the higher the score; and the higher the frequency of historical urgency, the higher the score.

[0136] For example, at a certain moment, a charging / swapping station might score 8 for the number of vehicles it charges / swaps, 9 for the average remaining battery power, 10 for the urgency of the vehicle owner's time, and 7 for the frequency of historical urgency. The weights of these indicators are 0.3, 0.25, 0.25, and 0.2, respectively. Therefore, the energy demand urgency value is (8×0.3)+(9×0.25)+(10×0.25)+(7×0.2)=8.55. Thus, by evaluating energy demand data from multiple dimensions, the urgency of energy demand at charging / swapping stations is quantified, providing data support for subsequent priority allocation and scheduling strategy development. It is understandable that the operating conditions of charging / swapping stations are constantly changing, resulting in changes in operating data and energy demand data. Furthermore, the energy demand urgency value of a charging / swapping station will differ at different times.

[0137] S202, if the energy demand urgency is greater than or equal to the preset first energy demand urgency threshold, then the energy dispatch priority of the charging and swapping station is determined as the first energy dispatch priority.

[0138] In this embodiment, the energy dispatch priority of the charging and battery swapping station is divided into three levels—first, second, and third—based on a first energy demand urgency threshold and a second energy demand urgency threshold, respectively representing high, medium, and low energy demand urgency. The first and second energy demand urgency thresholds can be set according to dispatch requirements.

[0139] In practice, let the first energy demand urgency threshold be 'a', and the energy demand urgency value of the charging / swapping station be 'x'. If x ≥ a, then the charging / swapping station is determined to have the first energy dispatch priority. For example, during the morning rush hour, charging / swapping stations in the city's core area receive a large number of ride-hailing vehicles and taxis charging and swapping their batteries. These vehicles need to complete energy replenishment within 30 minutes to ensure operation. At this time, the assessed energy demand urgency value is much higher than the preset first energy demand urgency threshold, and the charging / swapping station is determined to have the first energy dispatch priority.

[0140] S203, if the energy demand urgency is less than the preset first energy demand urgency threshold and greater than or equal to the preset second energy demand urgency threshold, then the energy dispatch priority of the charging and swapping station is determined to be the second energy dispatch priority.

[0141] In practice, let the second energy demand urgency threshold be b. Following the steps above, if b ≤ x < a, then the energy dispatch priority of the charging and battery swapping station is determined to be the second energy dispatch priority. For example, on a weekday afternoon, many private car owners come to charge and swap batteries at charging and battery swapping stations around residential areas. Car owners have a relatively high tolerance for usage time (e.g., they can wait 1-2 hours). If the energy demand urgency value of the charging and battery swapping station at this time is assessed to be between the second energy demand urgency threshold and the first energy demand urgency threshold, then the charging and battery swapping station is determined to belong to the second energy dispatch priority.

[0142] S204, if the energy demand urgency is less than the preset first energy demand urgency value, then the energy dispatch priority of the charging and swapping station is determined to be the third energy dispatch priority. The preset first energy demand urgency threshold is greater than the preset second energy demand urgency threshold. The energy dispatch priority includes the first energy dispatch priority, the second energy dispatch priority and the third energy dispatch priority.

[0143] In practical implementation, following the steps above, if x < b, then the energy dispatch priority of the charging and battery swapping station is determined to be the third energy dispatch priority. For example, during the late night hours, only a small number of vehicles (such as private cars belonging to nearby residents) come to a charging and battery swapping station to charge and swap batteries. The car owners have no time pressure to use their vehicles and may even be willing to complete the charging and battery swapping the next day. At this time, the energy demand urgency value of the charging and battery swapping station is lower than the second energy demand urgency threshold, so the charging and battery swapping station is determined to belong to the third energy dispatch priority.

[0144] In this embodiment, the urgency of energy demand at charging and battery swapping stations under multiple different operating conditions is assessed by using energy demand data, and the energy dispatch priority of charging and battery swapping stations is determined based on the energy demand urgency value. This is beneficial for adopting corresponding energy dispatch strategies for different energy dispatch priorities.

[0145] To provide a clearer explanation of the method for determining the energy dispatch strategy of charging and battery swapping stations provided in this application, a specific embodiment is described below, which includes the following steps:

[0146] S1 acquires operational data and energy demand data from multiple charging and battery swapping stations.

[0147] S2, for each charging and battery swapping station, assesses the urgency of energy demand based on energy demand data to obtain the energy demand urgency level.

[0148] S3. If the energy demand urgency is greater than or equal to the preset first energy demand urgency threshold, then the energy dispatch priority of the charging and battery swapping station is determined to be the first energy dispatch priority. If the energy demand urgency is less than the preset first energy demand urgency threshold but greater than or equal to the preset second energy demand urgency threshold, then the energy dispatch priority of the charging and battery swapping station is determined to be the second energy dispatch priority. If the energy demand urgency is less than the preset first energy demand urgency value, then the energy dispatch priority of the charging and battery swapping station is determined to be the third energy dispatch priority. Wherein, the preset first energy demand urgency threshold is greater than the preset second energy demand urgency threshold.

[0149] S4. For each energy dispatch priority, based on the preset correspondence between energy dispatch priorities and energy dispatch paths, determine the energy dispatch path corresponding to the energy dispatch priority, obtain the energy transmission efficiency and energy loss coefficient of the energy dispatch path, determine the first dispatch obstacle factor based on the energy transmission efficiency and energy loss coefficient, assess the urgency of energy demand for charging and battery swapping stations based on energy demand data, obtain the energy demand urgency, obtain the total energy demand and energy transmission distance of the energy dispatch path, determine the first dispatch decision factor based on the energy transmission distance, total energy demand and energy demand urgency, and determine the first energy dispatch power corresponding to the energy dispatch priority based on the first dispatch obstacle factor, the first dispatch decision factor and operating data. The energy dispatch strategy includes the energy dispatch path and the first energy dispatch power of the charging and battery swapping stations corresponding to each energy dispatch priority.

[0150] S5, for each energy dispatch priority, analyzes the energy supply and demand trend of the charging and battery swapping station based on the operation data and energy demand data of each energy demand node in the charging and battery swapping station corresponding to the energy dispatch priority, and obtains the trend analysis results; based on the trend analysis results, multiple energy dispatch periods are obtained.

[0151] S6, for the first charging / swapping station corresponding to the first energy dispatch priority: For each energy dispatch period, obtain the energy dispatch path parameters of the energy dispatch path of the first charging / swapping station within the energy dispatch period to obtain the first energy dispatch path parameter set; determine the rate of change between the energy dispatch path parameters of adjacent energy dispatch periods in the first energy dispatch path parameter set to obtain the first path parameter change rate set; assess the urgency of the energy demand of the first charging / swapping station based on the energy demand data of the first charging / swapping station in each energy dispatch period to obtain the second energy demand urgency of the first charging / swapping station in each energy dispatch period; obtain the energy dispatch of the first charging / swapping station in each energy dispatch period. The energy transmission efficiency and energy loss coefficient of the path are determined, and the second energy dispatching obstacle factor for each energy dispatching period is determined based on each energy transmission efficiency and energy loss coefficient. The second energy dispatching decision factor for each energy dispatching period is determined based on the path parameter change rate set and the second energy demand urgency for each energy dispatching period. The second energy dispatching power for each energy dispatching period is determined based on the second energy dispatching decision factor, the second energy dispatching obstacle factor and the operating data. The first energy dispatching power in the energy dispatching strategy corresponding to the first charging and battery swapping station is updated to the second energy dispatching power to obtain the target energy dispatching strategy corresponding to the first charging and battery swapping station.

[0152] S7, for the second charging / swapping station corresponding to the second energy dispatch priority: determine the intersecting energy dispatch paths in the energy dispatch strategies of the first and second charging / swapping stations, extract the energy dispatch path parameters of the intersecting energy dispatch paths from the first energy dispatch path parameters to obtain the second energy dispatch path parameters; extract the third energy dispatch power that matches the second energy dispatch path parameters from the second energy dispatch power; update the first energy dispatch power in the energy dispatch strategy corresponding to the second charging / swapping station to the third energy dispatch power to obtain the target energy dispatch strategy corresponding to the second charging / swapping station.

[0153] S8, for the third charging and battery swapping station corresponding to the third energy dispatch priority: determine the energy dispatch path that intersects with the first energy dispatch path of the second charging and battery swapping station and the third charging and battery swapping station, extract the energy dispatch path parameters of the intersecting energy dispatch path from the second energy dispatch path parameters, and obtain the third energy dispatch path parameters; extract the fourth energy dispatch power that matches the third energy dispatch path parameters from the third energy dispatch power; update the first energy dispatch power in the energy dispatch strategy corresponding to the second charging and battery swapping station to the fourth energy dispatch power, and obtain the target energy dispatch strategy corresponding to the third charging and battery swapping station.

[0154] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0155] In one exemplary embodiment, such as Figure 6 As shown, a charging / swapping station energy scheduling strategy determination device 600 is provided, including: a data acquisition module 610, a priority evaluation module 620, a first scheduling strategy determination module 630, and a second scheduling strategy determination module 640, wherein:

[0156] The data acquisition module 610 is used to acquire the operation data and energy demand data of multiple charging and battery swapping stations;

[0157] The priority assessment module 620 is used to assess the energy dispatch priority of each charging and battery swapping station based on energy demand data.

[0158] The first scheduling strategy determination module 630 is used to determine the energy scheduling strategy of the charging and battery swapping station corresponding to each energy scheduling priority based on the energy scheduling priority, the operation data of the charging and battery swapping station corresponding to the energy scheduling priority, and the energy demand data.

[0159] The second scheduling strategy determination module 640 is used to adjust the first energy scheduling power in the energy scheduling strategy corresponding to the energy scheduling priority based on the operation data and energy demand data of the charging and swapping stations corresponding to the energy scheduling priority during different energy scheduling periods, so as to obtain the target energy scheduling strategy corresponding to the energy scheduling priority.

[0160] In an exemplary embodiment, the first scheduling strategy determination module 630 is further configured to, for each energy scheduling priority, determine the energy scheduling path corresponding to the energy scheduling priority based on a preset correspondence between energy scheduling priorities and energy scheduling paths; and determine the first energy scheduling power of the charging and battery swapping station corresponding to the energy scheduling priority based on the operating data, energy demand data, and energy scheduling path of the charging and battery swapping station corresponding to the energy scheduling priority; the energy scheduling strategy includes the energy scheduling path and the first energy scheduling power of the charging and battery swapping station corresponding to each energy scheduling priority.

[0161] In an exemplary embodiment, the first scheduling strategy determination module 630 is further configured to: acquire the energy transmission efficiency and energy loss coefficient of the energy scheduling path; determine a first scheduling obstacle factor based on the energy transmission efficiency and energy loss coefficient; assess the urgency of energy demand for the charging and swapping station based on energy demand data to obtain the energy demand urgency; acquire the total energy demand and the energy transmission distance of the energy scheduling path; determine a first scheduling decision factor based on the energy transmission distance, the total energy demand, and the energy demand urgency; and determine the first energy scheduling power corresponding to the energy scheduling priority based on the first scheduling obstacle factor, the first scheduling decision factor, and the operating data.

[0162] In an exemplary embodiment, the second scheduling strategy determination module 640 is further configured to, for each energy scheduling priority, analyze the energy supply and demand change trend of the charging and swapping station based on the operation data and energy demand data of each energy demand node in the charging and swapping station corresponding to the energy scheduling priority, and obtain the change trend analysis result; and divide multiple energy scheduling time periods based on the change trend analysis result.

[0163] In an exemplary embodiment, the second scheduling strategy determination module 640 is further configured to, for each energy scheduling period, obtain energy scheduling path parameters of the energy scheduling path of the first charging and battery swapping station within the energy scheduling period, to obtain a first energy scheduling path parameter set; determine the rate of change between energy scheduling path parameters in adjacent energy scheduling periods within the first energy scheduling path parameter set, to obtain a first path parameter change rate set; assess the urgency of the energy demand of the first charging and battery swapping station based on the energy demand data of the first charging and battery swapping station within each energy scheduling period, to obtain a second energy demand urgency of the first charging and battery swapping station within each energy scheduling period; and obtain the energy scheduling path parameters for each energy scheduling period. The energy transmission efficiency and energy loss coefficient of the energy dispatch path of the first charging and battery swapping station are determined, and the second energy dispatching obstacle factor for each energy dispatching period is determined based on each energy transmission efficiency and energy loss coefficient. The second energy dispatching decision factor for each energy dispatching period is determined based on the path parameter change rate set and the second energy demand urgency for each energy dispatching period. The second energy dispatching power for each energy dispatching period is determined based on the second energy dispatching decision factor, the second energy dispatching obstacle factor and the operating data. The first energy dispatching power in the energy dispatching strategy corresponding to the first charging and battery swapping station is updated to the second energy dispatching power.

[0164] In an exemplary embodiment, the second scheduling strategy determination module 640 is further configured to determine the intersecting energy scheduling paths in the energy scheduling strategies of the first charging and swapping station and the second charging and swapping station, extract the energy scheduling path parameters of the intersecting energy scheduling paths from the first energy scheduling path parameters to obtain the second energy scheduling path parameters; extract the third energy scheduling power that matches the second energy scheduling path parameters from the second energy scheduling power; and update the first energy scheduling power in the energy scheduling strategy corresponding to the second charging and swapping station to the third energy scheduling power.

[0165] In an exemplary embodiment, the second scheduling strategy determination module 640 is further configured to determine the intersecting energy scheduling paths in the first energy scheduling paths of the second charging and swapping station and the third charging and swapping station, extract the energy scheduling path parameters of the intersecting energy scheduling paths from the second energy scheduling path parameters to obtain the third energy scheduling path parameters; extract the fourth energy scheduling power that matches the third energy scheduling path parameters from the third energy scheduling power; and update the first energy scheduling power in the energy scheduling strategy corresponding to the second charging and swapping station to the fourth energy scheduling power.

[0166] In an exemplary embodiment, the priority evaluation module 620 is further configured to evaluate the urgency of the energy demand of the charging and battery swapping station based on energy demand data to obtain an energy demand urgency level; if the energy demand urgency level is greater than or equal to a preset first energy demand urgency threshold, then the energy scheduling priority of the charging and battery swapping station is determined to be a first energy scheduling priority; if the energy demand urgency level is less than the preset first energy demand urgency threshold but greater than or equal to a preset second energy demand urgency threshold, then the energy scheduling priority of the charging and battery swapping station is determined to be a second energy scheduling priority; if the energy demand urgency level is less than the preset first energy demand urgency value, then the energy scheduling priority of the charging and battery swapping station is determined to be a third energy scheduling priority; wherein, the preset first energy demand urgency threshold is greater than the preset second energy demand urgency threshold, and the energy scheduling priority includes the first energy scheduling priority, the second energy scheduling priority, and the third energy scheduling priority.

[0167] The modules in the aforementioned energy dispatch strategy determination device 600 for charging and battery swapping stations can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the operations corresponding to each module.

[0168] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network. When the computer program is executed by the processor, it implements a method for determining energy dispatch strategies for charging and swapping stations.

[0169] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0170] In one exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in any of the above embodiments of the method for determining energy dispatch strategy for charging and swapping stations.

[0171] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps in any of the above embodiments of the method for determining energy dispatch strategy for charging and swapping stations.

[0172] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in any of the above embodiments of the method for determining energy dispatch strategy for charging and swapping stations.

[0173] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0174] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0175] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0176] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for determining the energy dispatch strategy of a charging and battery swapping station, characterized in that, The method includes: Obtain operational data and energy demand data from multiple charging and battery swapping stations; For each of the aforementioned charging and battery swapping stations, the energy dispatch priority of the charging and battery swapping station is evaluated based on the energy demand data. For each energy dispatch priority, based on the energy dispatch priority, the operating data of the charging / swapping station corresponding to the energy dispatch priority, and the energy demand data, an energy dispatch strategy for the charging / swapping station corresponding to the energy dispatch priority is determined; including: For each energy dispatch priority, the energy dispatch path corresponding to the energy dispatch priority is determined according to the preset correspondence between the energy dispatch priority and the energy dispatch path. Based on the operating data, energy demand data, and energy dispatch path of the charging / swapping station corresponding to the energy dispatch priority, determine the first energy dispatch power of the charging / swapping station corresponding to the energy dispatch priority; including: Obtain the energy transmission efficiency and energy loss coefficient of the energy scheduling path, and determine the first scheduling obstacle factor based on the energy transmission efficiency and the energy loss coefficient; Based on the energy demand data, assess the urgency of the energy demand of the charging and battery swapping station to obtain the energy demand urgency level; Obtain the total energy demand and the energy transmission distance of the energy dispatch path, and determine the first dispatch decision factor based on the energy transmission distance, the total energy demand, and the energy demand urgency; Based on the first scheduling obstacle factor, the first scheduling decision factor, and the operating data, determine the first energy scheduling power corresponding to the energy scheduling priority; The energy dispatch strategy includes the energy dispatch path of the charging and swapping station corresponding to each energy dispatch priority and the first energy dispatch power. Based on the operation data and energy demand data of the charging and swapping stations corresponding to the energy dispatch priority during different energy dispatch periods, the first energy dispatch power in the energy dispatch strategy corresponding to the energy dispatch priority is adjusted to obtain the target energy dispatch strategy corresponding to the energy dispatch priority. The energy dispatch priority includes a first energy dispatch priority, which corresponds to a first charging / swapping station; the step of adjusting the first energy dispatch power in the energy dispatch strategy corresponding to each energy dispatch priority based on the operating data and energy demand data of the charging / swapping station corresponding to the energy dispatch priority during different energy dispatch periods includes: For each energy dispatch period, the energy dispatch path parameters of the energy dispatch path of the first charging and swapping station within the energy dispatch period are obtained to obtain the first energy dispatch path parameter set; Determine the rate of change between energy dispatch path parameters in adjacent energy dispatch periods within the first energy dispatch path parameter set to obtain the first path parameter change rate set; Based on the energy demand data of the first charging and swapping station during each energy dispatch period, the urgency of the energy demand of the first charging and swapping station is assessed to obtain the second energy demand urgency of the first charging and swapping station during each energy dispatch period. The energy transmission efficiency and energy loss coefficient of the energy dispatch path of the first charging and swapping station during each energy dispatch period are obtained, and the second energy dispatch obstacle factor for each energy dispatch period is determined based on the energy transmission efficiency and the energy loss coefficient. Based on the set of path parameter change rates and the second energy demand urgency of each energy scheduling period, the second energy scheduling decision factor for each energy scheduling period is determined; Based on the second energy dispatch decision factor, the second energy dispatch obstacle factor, and the operating data for each energy dispatch period, the second energy dispatch power for each energy dispatch period is determined, and the first energy dispatch power in the energy dispatch strategy corresponding to the first charging and swapping station is updated to the second energy dispatch power.

2. The method according to claim 1, characterized in that, The different energy dispatch periods are obtained through the following methods: For each energy dispatch priority, based on the operation data and energy demand data of each energy demand node in the charging and battery swapping station corresponding to the energy dispatch priority, the energy supply and demand change trend of the charging and battery swapping station is analyzed, and the change trend analysis results are obtained. Based on the analysis results of the aforementioned trends, multiple energy dispatch periods were identified.

3. The method according to claim 2, characterized in that, The energy dispatch priority includes a second energy dispatch priority, which corresponds to a second charging / swapping station; the step of adjusting the first energy dispatch power in the energy dispatch strategy corresponding to each energy dispatch priority based on the operating data and energy demand data of the charging / swapping station corresponding to the energy dispatch priority during different energy dispatch periods further includes: Determine the intersecting energy scheduling paths in the energy scheduling strategies of the first charging and swapping station and the second charging and swapping station, extract the energy scheduling path parameters of the intersecting energy scheduling paths from the first energy scheduling path parameters, and obtain the second energy scheduling path parameters. Extract the third energy dispatch power that matches the second energy dispatch path parameters from the second energy dispatch power; The first energy dispatch power in the energy dispatch strategy corresponding to the second charging and swapping station is updated to the third energy dispatch power.

4. The method according to claim 3, characterized in that, The energy dispatch priority includes a third energy dispatch priority, which corresponds to a third charging and battery swapping station; the step of adjusting the first energy dispatch power in the energy dispatch strategy corresponding to each energy dispatch priority based on the operating data and energy demand data of the charging and battery swapping station corresponding to the energy dispatch priority during different energy dispatch periods further includes: Determine the energy dispatch path that intersects with the first energy dispatch path of the second charging and swapping station and the third charging and swapping station, extract the energy dispatch path parameters of the intersecting energy dispatch path from the second energy dispatch path parameters, and obtain the third energy dispatch path parameters. Extract the fourth energy dispatch power that matches the third energy dispatch path parameters from the third energy dispatch power; The first energy dispatch power in the energy dispatch strategy corresponding to the second charging and swapping station is updated to the fourth energy dispatch power.

5. The method according to any one of claims 1 to 4, characterized in that, The step of assessing the energy dispatch priority of the charging and battery swapping station based on the energy demand data includes: Based on the energy demand data, assess the urgency of the energy demand of the charging and battery swapping station to obtain the energy demand urgency level; If the energy demand urgency is greater than or equal to the preset first energy demand urgency threshold, then the energy scheduling priority of the charging and swapping station is determined to be the first energy scheduling priority. If the energy demand urgency is less than the preset first energy demand urgency threshold and greater than or equal to the preset second energy demand urgency threshold, then the energy scheduling priority of the charging and swapping station is determined to be the second energy scheduling priority. If the energy demand urgency is less than the preset first energy demand urgency value, then the energy scheduling priority of the charging and swapping station is determined to be the third energy scheduling priority. Wherein, the preset first energy demand urgency threshold is greater than the preset second energy demand urgency threshold, and the energy dispatch priority includes the first energy dispatch priority, the second energy dispatch priority, and the third energy dispatch priority.

6. A device for determining energy dispatch strategy for charging and battery swapping stations, characterized in that, The apparatus for performing the method according to any one of claims 1 to 5 comprises: The data acquisition module is used to acquire operational data and energy demand data from multiple charging and battery swapping stations. The priority assessment module is used to assess the energy dispatch priority of each charging and battery swapping station based on the energy demand data. The first scheduling strategy determination module is used to determine the energy scheduling strategy of the charging and battery swapping station corresponding to each energy scheduling priority based on the energy scheduling priority, the operation data of the charging and battery swapping station corresponding to the energy scheduling priority, and the energy demand data. The second scheduling strategy determination module is used to adjust the first energy scheduling power in the energy scheduling strategy corresponding to the energy scheduling priority based on the operation data and energy demand data of the charging and swapping station corresponding to the energy scheduling priority during different energy scheduling periods, so as to obtain the target energy scheduling strategy corresponding to the energy scheduling priority.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

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