Unmanned charging rescue boat electric energy management method and system

Abstract

The invention belongs to the technical field of charging rescue ships, and provides an unmanned charging rescue ship electric energy management method and system. According to the electric quantity of the charging ship participating in power grid dispatching, the electric quantity of the charging box body power grid dispatching, the number of times that the charging ship can be used in the whole battery life period, and the number of times that the charging ship can be used in the whole battery life period; the number of times that the energy storage battery of the charging ship is used for participating in peak regulation in the whole life period, the number of times that the energy storage battery of the charging box body is used for participating in peak regulation in the whole life period, the electricity price during scheduling, the electricity price during charging, the price of replacing the energy storage battery once and the price of replacing the battery of the charging box body once are calculated; the earnings of the whole system are determined; according to the judgment of the battery capacity of the rescue boat and the income of the whole system, the object participating in peak regulation is determined, the problem of single economic mode is solved, the reasonable distribution and echelon utilization of energy are improved, and the new energy power generation utilization efficiency of the unmanned charging rescue boat is ensured.

Description

Technical Field

[0001] This invention belongs to the field of charging rescue vessel technology, and particularly relates to a power management method and system for an unmanned charging rescue vessel. Background Technology

[0002] The development of electric ship technology, especially advancements in battery and charging technologies, has made electric ships more feasible in practical applications. Currently, electric ships primarily use charging methods, and the construction and development of charging infrastructure are continuously progressing. Mobile charging ships, as an innovative charging method, can better adapt to the needs of inland waterway transportation, improving the flexibility and convenience of charging.

[0003] Existing mobile charging rescue boats generally rely on grid power, which is environmentally unfriendly, cannot interact with the power grid, and does not take into account electricity prices at different stages, the cost of replacing energy storage batteries and charging boxes, resulting in a single economic model; or they simply apply new energy power generation such as photovoltaic and wind power, lacking reasonable energy allocation and tiered utilization, resulting in low utilization efficiency of new energy power generation. Summary of the Invention

[0004] To address the aforementioned problems, this invention proposes a power management method and system for unmanned charging rescue vessels. This invention determines the overall system revenue based on the power consumption of the charging vessel participating in grid dispatch, the power consumption of the charging tank in grid dispatch, the number of times the charging vessel's battery can be used throughout its lifespan, the number of times the charging vessel's energy storage battery is used for peak shaving throughout its lifespan, the number of times the charging tank's energy storage battery is used for peak shaving throughout its lifespan, as well as the electricity price during dispatch, the electricity price during charging, the price of replacing the energy storage battery, and the price of replacing the charging tank's battery. Based on the assessment of the rescue vessel's battery capacity and the overall system revenue, the target for peak shaving is determined, solving the problem of a single economic model or simplistic application of new energy power generation such as photovoltaic and wind power. This improves the rational allocation and tiered utilization of energy, ensuring the efficiency of new energy power generation utilization by the unmanned charging rescue vessel.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solution: In a first aspect, the present invention provides a method for managing the power of an unmanned charging rescue vessel, comprising: Obtain relevant parameters of the charging vessel; the relevant parameters include one or more of the following: the amount of electricity the charging vessel participates in grid dispatch, the amount of electricity the charging box participates in grid dispatch, the number of times the charging vessel can be used during the entire battery lifespan, the number of times the charging vessel's energy storage battery is used for peak shaving during the entire lifespan, and the number of times the charging box's energy storage battery is used for peak shaving during the entire lifespan. Based on the relevant parameters, and one or more of the following: the electricity price during scheduling, the electricity price during charging, the price of replacing the energy storage battery once, and the price of replacing the battery in the charging box once, the revenue of the entire system can be obtained. Under grid dispatch conditions, it is determined whether the battery capacity of the rescue ship is greater than the pre-capacity. If so, the excess power of the rescue ship, the energy storage module of the charging box, and the photovoltaic power generation module all participate in peak shaving; otherwise, the excess power of the rescue ship does not participate in peak shaving. When the battery capacity of the rescue ship is greater than the pre-capacity, it is determined whether the benefit of the entire system is greater than the preset value. If so, the excess power of the rescue ship, the energy storage module of the charging box, and the photovoltaic power generation all participate in peak shaving; otherwise, only the photovoltaic power generation module participates in peak shaving.

[0006] Furthermore, the overall benefits of the system R total for: ; in, E 3 represents the amount of electricity generated by the charging vessel participating in grid dispatch; E 4 represents the amount of electricity allocated to the charging box by the power grid. P 1 represents the electricity price when participating in dispatching; P 2 represents the electricity price during charging; P 3 represents the price of replacing the energy storage battery once; P4 represents the price of replacing the battery in the charging case once. N 1 represents the number of times the charging boat can be used during the entire battery life of the charging boat. N 2 represents the number of times the charging case can be used throughout the entire battery lifespan; N 3 represents the number of times the energy storage battery for the charging ship is used for peak shaving throughout its entire lifespan; N 4 represents the number of times the energy storage battery in the charging box is used for peak shaving throughout its entire lifespan.

[0007] The above formula quantifies the overall system's revenue, providing a reasonable basis for determining peak-shaving strategies.

[0008] Furthermore, when no grid dispatch is in effect, photovoltaic power generation charges the rescue boat and stores energy in the energy storage modules of the charging box, thus avoiding the loss of excess power on the rescue boat.

[0009] Furthermore, the maximum charge required for a single charge of the charging ship's energy storage module is: ; in; E bat，boat Rated capacity of the operating ship's batteries; D dis，boat The depth of battery discharge for the operating vessel; N boatThis refers to the number of ships operating in the scenario.

[0010] Determining the maximum charge capacity required for a single charge of the energy storage module on the charging ship provides a reliable basis for the design of the energy storage module.

[0011] Furthermore, the rated capacity of the battery in the charging ship's energy storage module... : ; in, η 1 represents the battery's discharge efficiency; D dis，1 This refers to the depth of discharge of the battery. n 1 represents the number of charging compartments.

[0012] Furthermore, the rated battery capacity of the energy storage module in the charging box is: ; in, η 2 represents the battery charging efficiency of the second energy storage module.

[0013] Determining the rated capacity of the battery in the charging box energy storage module provides a reliable basis for the design of the charging box energy storage module.

[0014] Furthermore, the photovoltaic module installation area is: ; ; in, E pv The amount of electricity generated by the photovoltaic panels; I sol This represents the total solar radiation on a horizontal surface. A pv The installed area of ​​photovoltaic modules; η pv The conversion efficiency of photovoltaic modules.

[0015] The reasonable determination of the photovoltaic module installation area, while meeting the needs of power generation and consumption, avoids the impact of excessive photovoltaic module installation area on the weight of the rescue vessel, thus ensuring the flexibility and stability of the rescue vessel's navigation.

[0016] Secondly, the present invention also provides a power management system for an unmanned charging rescue vessel, comprising: The data acquisition module is configured to acquire relevant parameters of the charging vessel; the relevant parameters include one or more of the following: the amount of electricity the charging vessel participates in grid dispatch, the amount of electricity the charging box participates in grid dispatch, the number of times the charging vessel can be used during the entire battery lifespan, the number of times the charging vessel's energy storage battery is used for peak shaving during the entire lifespan, and the number of times the charging box's energy storage battery is used for peak shaving during the entire lifespan. The revenue determination module is configured to: obtain the revenue of the entire system based on the relevant parameters, as well as one or more of the following: the electricity price when participating in scheduling, the electricity price when charging, the price of replacing the energy storage battery once, and the price of replacing the battery in the charging box once; The first judgment module is configured to: determine whether the battery capacity of the rescue ship is greater than the pre-capacity under grid dispatch conditions; if so, the excess power of the rescue ship, the energy storage module of the charging box, and the photovoltaic power generation module all participate in peak shaving; otherwise, the excess power of the rescue ship does not participate in peak shaving. The second judgment module is configured to: when the battery capacity of the rescue ship is greater than the preset capacity, determine whether the benefit of the entire system is greater than the preset value. If so, the excess power of the rescue ship, the energy storage module of the charging box and the photovoltaic power generation all participate in peak shaving; otherwise, only the photovoltaic power generation module participates in peak shaving.

[0017] Thirdly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the unmanned charging rescue vessel power management method described in the first aspect.

[0018] Fourthly, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to implement the steps of the unmanned charging rescue vessel power management method described in the first aspect.

[0019] Fifthly, the present invention also provides a computer program product, the computer program product comprising a computer program, which, when executed by a processor, implements the steps of the unmanned charging rescue vessel power management method described in the first aspect.

[0020] Compared with the prior art, the beneficial effects of the present invention are as follows: In this invention, the overall system revenue is determined based on the amount of electricity generated by the charging vessel participating in grid dispatch, the amount of electricity generated by the charging box in grid dispatch, the number of times the charging vessel can be used throughout its battery life, the number of times the charging vessel's energy storage battery is used for peak shaving throughout its life, the number of times the charging box's energy storage battery is used for peak shaving throughout its life, as well as the electricity price during dispatch, the electricity price during charging, the price of replacing the energy storage battery, and the price of replacing the charging box's battery. Based on the assessment of the rescue vessel's battery capacity and the overall system revenue, the objects participating in peak shaving are determined, solving the problem of a single economic model or a simple application of new energy power generation such as photovoltaic and wind power. This improves the rational allocation and tiered utilization of energy, ensuring the new energy power generation utilization efficiency of the unmanned charging rescue vessel. Attached Figure Description

[0021] The accompanying drawings, which form part of this embodiment, are used to provide a further understanding of this embodiment. The illustrative embodiments and their descriptions are used to explain this embodiment and do not constitute an improper limitation of this embodiment.

[0022] Figure 1 This is a schematic diagram of the main structure of the mobile charging boat according to Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the mobile unit structure of the mobile charging boat according to Embodiment 1 of the present invention. Figure 3 This is a schematic diagram of the charging box structure of the mobile charging boat according to Embodiment 1 of the present invention; Figure 4 This is a schematic diagram of the intelligent cloud management and control platform structure according to Embodiment 1 of the present invention; Figure 5 This is a flowchart illustrating the fully grid-compliant type of Embodiment 1 of the present invention; Figure 6 This is a flowchart of the power grid dispatch process in Embodiment 1 of the present invention, with economic benefits as the premise. The system comprises: 1. Rescue vessel body; 2. Retractable charging gun; 3. Charging vessel energy storage module; 4. First photovoltaic module; 5. First flexible electromagnetic chuck; 6. In-ship controller; 7. Detection module; 8. Sensing module; 9. Motor module; 10. Movable shaft; 11. Propeller; 12. Flexible retractable charging gun control module; 13. GPS navigation module; 14. Charging box; 15. Charging box energy storage module; 16. Second photovoltaic module; 17. Display and control module; 18. Bidirectional inverter; 19. Second flexible electromagnetic chuck 2; 20. Cloud management platform; 21. Cloud management platform hub; 22. In-operation vessel display module; 23. Unmanned charging rescue vessel display and control module; 24. Charging box display, operating status and control module. Detailed Implementation

[0023] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0024] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of this application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0025] With increasing global emphasis on environmental protection, ship emissions have become a major source of air pollution. Relevant organizations have formulated stringent emission regulations, such as the "sulfur cap," requiring uniform implementation globally, which has driven the green transformation of the shipping industry. Electric ships, by replacing traditional fuel oil with electricity, meet low-carbon emission requirements and have become a key direction for this green transformation.

[0026] The development of electric ship technology, especially advancements in battery and charging technologies, has made electric ships more feasible in practical applications. Currently, electric ships primarily use charging methods, and the construction and development of charging infrastructure are continuously progressing. Mobile charging ships, as an innovative charging method, can better adapt to the needs of inland waterway transportation, improving the flexibility and convenience of charging.

[0027] Existing mobile charging boat rescue methods also have certain shortcomings. First, in current technology, the state between the charging boat and the rescued boat is unstable when the wind or waves are strong. The lack of a reliable fixing mechanism connecting the charging boat and the rescued boat makes it difficult to guarantee stability during the charging process. Second, existing mobile charging rescue boats generally rely on grid power, which is environmentally unfriendly, cannot interact with the power grid, has a simplistic economic model, or merely utilizes renewable energy sources such as solar and wind power without proper energy allocation and tiered utilization, resulting in low efficiency in renewable energy generation.

[0028] To address at least one of the aforementioned problems, this embodiment provides an unmanned charging rescue vessel and a method for managing the power of the unmanned charging rescue vessel.

[0029] like Figure 1 As shown, the unmanned charging rescue vessel is equipped with a flexible electromagnetic chuck 5 and a retractable charging gun 2 on the main body 1 of the rescue vessel, which ensures the stability and reliability of charging; it is also equipped with a cloud management and control platform, a photovoltaic module 4, a charging vessel energy storage module 3, and a bidirectional inverter; it can quickly respond to the needs of the power grid, rationally allocate energy, realize interaction with the power grid, and improve the economy of the entire system.

[0030] The rescue vessel operates autonomously without human intervention through a cloud management platform. The charging process for the operational vessel is not covered in this invention, and the cloud management platform only displays the operational vessel's battery level and operating status to facilitate better rescue operations.

[0031] like Figures 1-4 As shown, the rescue vessel comprises three parts: the main body 1, the charging tank, and the cloud management platform. The main body 1 includes a retractable charging gun 2, a charging vessel energy storage module 3, a first photovoltaic module 4, a first flexible magnetic module 5, an in-ship controller 6, a detection module 7, a sensing module 8, a motor module 9, a movable shaft 10, a propeller 11, a flexible retractable charging gun control module 12, and a GPS navigation module 13. The charging tank 14 mainly includes a charging tank energy storage module 15, a second photovoltaic module 16, a display and control module 17, a bidirectional inverter 18, and a second flexible magnetic module 19. The cloud management platform 20 mainly includes a cloud management platform hub 21, an in-operation vessel display and control module 22, an unmanned charging rescue vessel display and control module 23, and a charging tank display, operation status, and control module 24.

[0032] Based on the scenario used in this invention, the battery parameters (battery capacity, depth of discharge) of the operating vessels in the survey scenario are investigated.

[0033] ; in, E tot，in The maximum charging capacity required for a single charge by the ship operating in the scenario is expressed in kW·h. E bat，boat Rated capacity of the operating vessel's battery, kW·h; D dis，boat The depth of battery discharge for the operating vessel; N boat This refers to the number of ships operating in the scenario.

[0034] Based on the battery parameters (discharge efficiency and depth of discharge) of the first energy storage module (charging ship energy storage module), design the rated capacity of the first energy storage module battery.

[0035] ; in, E total-outlet The capacity of the first energy storage module is kW·h; η 1 represents the discharge efficiency of the battery in the first energy storage module; D dis，1 The depth of discharge of the battery in the first energy storage module; n 1 represents the number of charging compartments for the first energy storage module.

[0036] The second energy storage module battery capacity required for the charging box is sufficient to meet the charging and discharging needs of the rescue ship.

[0037] ; in, E 2 represents the rated battery capacity of the second energy storage module (charging box energy storage module), in kW·h; η 2 represents the battery charging efficiency of the second energy storage module.

[0038] The software retrieves the typical annual direct solar radiation and diffuse solar radiation at the project location, thereby determining the minimum number of photovoltaic panels required to meet the power needs of the rescue ship.

[0039] ; ; in, E pv The power generation of the photovoltaic panel is expressed in kW·h. I sol The total solar radiation on a horizontal surface is expressed in kW·h / m². 2 ; A pv For the photovoltaic module installation area, m 2 ; η pv The conversion efficiency of photovoltaic modules.

[0040] The study investigates the maximum number of charge-discharge cycles for the rescue vessel's energy storage batteries and the charging box's energy storage batteries during their service life, the cost of replacing a battery, and the fluctuations in electricity price differences in the area where the scenario is located. It also calculates the conditions under which grid dispatch should be accepted to ensure the safe operation of the entire scenario, while prioritizing economic benefits in participating in grid dispatch.

[0041] ; in, R total The total revenue for the entire system is [amount in yuan]. E 3 represents the electricity generated by the charging vessel participating in grid dispatch, in kW·h; E 4 represents the electricity supplied by the power grid to the charging box, in kW·h; P 1 represents the electricity price when participating in dispatch, in yuan; P 2 represents the electricity price during charging (when the power supplied by the photovoltaic system is insufficient, the entire system needs to be supplemented with mains power), in yuan; P 3 represents the price of replacing the energy storage battery once, in yuan; P4 represents the price of replacing the battery of the charging box once, in yuan; N 1 represents the number of times the charging boat can be used during its entire battery life; N 2 represents the number of times the charging case can be used during the entire battery lifespan; N3 represents the number of times the charging ship's energy storage battery was used for peak shaving throughout its entire lifespan; N 4 represents the number of times the charging box's energy storage battery was used for peak shaving throughout its entire lifespan; the overall system control strategy is as follows: like Figure 5 As shown, the system is fully grid-compliant: When the cloud management platform receives grid dispatch, it determines the status of the rescue ships through the rescue ship display and control module. When the battery capacity of each rescue ship is greater than 50% (meeting the maximum charge of an operating ship), the excess power of the mobile charging ship, the energy storage module of the charging box, and the power generated by photovoltaic power generation participate in peak shaving through a bidirectional inverter; when the battery capacity of each mobile rescue ship is less than or equal to 50%, the energy storage of the charging box and photovoltaic power generation participate in peak shaving. 2) When the cloud management platform does not receive grid dispatch, photovoltaic power generation charges the charging rescue ship and stores energy in the energy storage module of the charging box.

[0042] like Figure 6 As shown, the system participates in grid dispatch with economic benefits as a prerequisite. Specifically, under grid dispatch conditions, it is determined whether the battery capacity of the rescue ship is greater than the pre-capacity. If so, the excess power of the rescue ship, the energy storage module of the charging box, and the photovoltaic power generation module all participate in peak shaving; otherwise, the excess power of the rescue ship does not participate in peak shaving. When the battery capacity of the rescue ship is greater than the pre-capacity, it is determined whether the benefit of the entire system is greater than the preset value. If so, the excess power of the rescue ship, the energy storage module of the charging box, and the photovoltaic power generation all participate in peak shaving; otherwise, only the photovoltaic power generation module participates in peak shaving.

[0043] Example 2: This embodiment provides a power management system for an unmanned charging rescue vessel, including: The data acquisition module is configured to acquire relevant parameters of the charging vessel; the relevant parameters include one or more of the following: the amount of electricity the charging vessel participates in grid dispatch, the amount of electricity the charging box participates in grid dispatch, the number of times the charging vessel can be used during the entire battery lifespan, the number of times the charging vessel's energy storage battery is used for peak shaving during the entire lifespan, and the number of times the charging box's energy storage battery is used for peak shaving during the entire lifespan. The revenue determination module is configured to: obtain the revenue of the entire system based on the relevant parameters, as well as one or more of the following: the electricity price when participating in scheduling, the electricity price when charging, the price of replacing the energy storage battery once, and the price of replacing the battery in the charging box once; The first judgment module is configured to: determine whether the battery capacity of the rescue ship is greater than the pre-capacity under grid dispatch conditions; if so, the excess power of the rescue ship, the energy storage module of the charging box, and the photovoltaic power generation module all participate in peak shaving; otherwise, the excess power of the rescue ship does not participate in peak shaving. The second judgment module is configured to: when the battery capacity of the rescue ship is greater than the preset capacity, determine whether the benefit of the entire system is greater than the preset value. If so, the excess power of the rescue ship, the energy storage module of the charging box and the photovoltaic power generation all participate in peak shaving; otherwise, only the photovoltaic power generation module participates in peak shaving.

[0044] The working method of the system is the same as the power management method of the unmanned charging rescue vessel in Embodiment 1, and will not be repeated here.

[0045] Example 3: This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the unmanned charging rescue vessel power management method described in Embodiment 1.

[0046] Example 4: This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the program, it implements the steps of the unmanned charging rescue vessel power management method described in Embodiment 1.

[0047] Example 5: This embodiment provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the power management method for unmanned charging rescue vessels described in Embodiment 1.

[0048] The above description is merely a preferred embodiment of this practice and is not intended to limit the scope of this practice. Various modifications and variations can be made to this practice by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of this practice should be included within the protection scope of this practice.

Claims

1. A method for managing the electrical energy of an unmanned charging rescue vessel, characterized in that, include: Obtain relevant parameters of the charging vessel; the relevant parameters include one or more of the following: the amount of electricity the charging vessel participates in grid dispatch, the amount of electricity the charging box participates in grid dispatch, the number of times the charging vessel can be used during the entire battery lifespan, the number of times the charging vessel's energy storage battery is used for peak shaving during the entire lifespan, and the number of times the charging box's energy storage battery is used for peak shaving during the entire lifespan. Based on the relevant parameters, and one or more of the following: the electricity price during scheduling, the electricity price during charging, the price of replacing the energy storage battery once, and the price of replacing the battery in the charging box once, the revenue of the entire system can be obtained. Under grid dispatch conditions, it is determined whether the battery capacity of the rescue ship is greater than the pre-capacity. If so, the excess power of the rescue ship, the energy storage module of the charging box, and the photovoltaic power generation module all participate in peak shaving; otherwise, the excess power of the rescue ship does not participate in peak shaving. When the battery capacity of the rescue ship is greater than the pre-capacity, it is determined whether the benefit of the entire system is greater than the preset value. If so, the excess power of the rescue ship, the energy storage module of the charging box, and the photovoltaic power generation all participate in peak shaving; otherwise, only the photovoltaic power generation module participates in peak shaving.

2. The power management method for an unmanned charging rescue vessel as described in claim 1, characterized in that, Benefits of the entire system R total for: ； in, E 3 represents the amount of electricity generated by the charging vessel participating in grid dispatch; E 4 represents the amount of electricity allocated to the charging box by the power grid. P 1 represents the electricity price when participating in dispatching; P 2 represents the electricity price during charging; P 3 represents the price of replacing the energy storage battery once; P4 represents the price of replacing the battery in the charging case once. N 1 represents the number of times the charging boat can be used during the entire battery life of the charging boat. N 2 represents the number of times the charging case can be used throughout the entire battery lifespan; N 3 represents the number of times the energy storage battery for the charging ship is used for peak shaving throughout its entire lifespan; N 4 represents the number of times the energy storage battery in the charging box is used for peak shaving throughout its entire lifespan.

3. The power management method for an unmanned charging rescue vessel as described in claim 1, characterized in that, When no grid dispatch is in effect, photovoltaic power generation charges the charging rescue boat and stores energy in the energy storage modules of the charging box.

4. The power management method for an unmanned charging rescue vessel as described in claim 1, characterized in that, The maximum amount of energy required for a single charge of the charging ship's energy storage module is: ； in ； E bat，boat Rated capacity of the operating vessel's batteries; D dis，boat The depth of battery discharge for the operating vessel; N boat This refers to the number of ships operating in the scenario.

5. The power management method for an unmanned charging rescue vessel as described in claim 4, characterized in that, The rated capacity of the battery in the charging ship energy storage module : ； in, η 1 represents the battery's discharge efficiency; D dis，1 This refers to the depth of discharge of the battery. n 1 represents the number of charging compartments.

6. The power management method for an unmanned charging rescue vessel as described in claim 5, characterized in that, The rated battery capacity of the energy storage module in the charging box is: ； in, η 2 represents the battery charging efficiency of the second energy storage module.

7. The power management method for an unmanned charging rescue vessel as described in claim 6, characterized in that, The installed area of ​​photovoltaic modules is: ； ； in, E pv The amount of electricity generated by the photovoltaic panels; I sol This represents the total solar radiation on a horizontal surface. A pv The installed area of ​​photovoltaic modules; η pv The conversion efficiency of photovoltaic modules.

8. A power management system for an unmanned charging rescue vessel, characterized in that, include: The data acquisition module is configured to acquire relevant parameters of the charging vessel; the relevant parameters include one or more of the following: the amount of electricity the charging vessel participates in grid dispatch, the amount of electricity the charging box participates in grid dispatch, the number of times the charging vessel can be used during the entire battery lifespan, the number of times the charging vessel's energy storage battery is used for peak shaving during the entire lifespan, and the number of times the charging box's energy storage battery is used for peak shaving during the entire lifespan. The revenue determination module is configured to: obtain the revenue of the entire system based on the relevant parameters, as well as one or more of the following: the electricity price when participating in scheduling, the electricity price when charging, the price of replacing the energy storage battery once, and the price of replacing the battery in the charging box once; The first judgment module is configured to: determine whether the battery capacity of the rescue ship is greater than the pre-capacity under grid dispatch conditions; if so, the excess power of the rescue ship, the energy storage module of the charging box, and the photovoltaic power generation module all participate in peak shaving; otherwise, the excess power of the rescue ship does not participate in peak shaving. The second judgment module is configured to: when the battery capacity of the rescue ship is greater than the preset capacity, determine whether the benefit of the entire system is greater than the preset value. If so, the excess power of the rescue ship, the energy storage module of the charging box and the photovoltaic power generation all participate in peak shaving; otherwise, only the photovoltaic power generation module participates in peak shaving.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that, When the processor executes the program, it implements the steps of the power management method for unmanned charging rescue vessels as described in any one of claims 1-7.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the power management method for an unmanned charging rescue vessel as described in any one of claims 1-7.

Images