Low-altitude infrastructure intelligent micro-grid and efficient energy storage system

Abstract

The invention relates to the technical field of power grid dispatching, in particular to a low-altitude infrastructure intelligent micro-grid and efficient energy storage system which comprises an energy supply layer, an energy conversion and transmission layer, an energy storage layer, an unmanned aerial vehicle power supply distribution layer, an unmanned aerial vehicle storage layer and a dispatching system center. The energy efficiency is improved through scheduling optimization and intelligent power supply matching, continuous and flexible distribution is guaranteed by means of response of a power conversion module and a storage layer, continuous energy supply is guaranteed by adopting a wind-solar-storage commercial power complementary architecture, and the distribution service quality and stability are comprehensively improved.

Description

Technical Field

[0001] This invention relates to the field of power grid dispatching technology, and in particular to a smart microgrid and high-efficiency energy storage system for low-altitude infrastructure. Background Technology

[0002] With the rapid development of drone technology, drone logistics delivery, with its advantages of high flexibility, fast response speed, and no terrain restrictions, has been widely used in various scenarios such as urban last-mile delivery, rural material transfer, and emergency material delivery. To support the large-scale and routine operation of drone logistics delivery, various logistics delivery nodes, such as urban delivery stations, rural transfer stations, and emergency temporary stations, serve as core hubs for drone take-off, landing, recharging, and dispatch. The stability, efficiency, and intelligence level of their energy security systems directly determine the efficiency and reliability of logistics delivery.

[0003] Currently, the energy supply for drone logistics delivery nodes mostly adopts a single mains power supply mode or a crude energy architecture simply combined with small energy storage devices. The energy supply stability is poor, and the node power supply is easily interrupted by fluctuations in the mains power grid and power outages caused by extreme weather. In addition, the energy utilization efficiency is low. Existing nodes lack effective integration and utilization of clean energy such as wind and solar power. At the same time, there is no precise power supply allocation for the differentiated power demand of drones. Furthermore, traditional nodes lack comprehensive real-time monitoring of the operating status of microgrid equipment and drone power supply facilities, making it impossible to predict equipment failures in advance. Moreover, when drone missions are temporarily adjusted or power resources are suddenly scarce, it is difficult to quickly coordinate reserve resources and energy supply.

[0004] Therefore, a smart microgrid and high-efficiency energy storage system for low-altitude infrastructure is proposed. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of the prior art by proposing a smart microgrid and high-efficiency energy storage system for low-altitude infrastructure.

[0006] To achieve the above objectives, the technical solution adopted by this invention is: a smart microgrid and high-efficiency energy storage system for low-altitude infrastructure, comprising an energy supply layer, an energy conversion and transmission layer, an energy storage layer, a UAV power supply and distribution layer, a UAV reserve layer, and a dispatch system center, wherein:

[0007] Energy supply layer: Provides the initial power source for the system through wind power generation, photovoltaic power generation, and grid power;

[0008] Energy conversion and transmission layer: used to convert electrical energy in the energy supply layer and switch its transmission path;

[0009] Energy storage layer: for storing, managing, and controlling the charging and discharging of electrical energy;

[0010] Dispatch System Center: Includes intelligent operation and maintenance layer and control layer, which performs data collection, demand forecasting and power supply dispatch optimization;

[0011] Drone power distribution layer: Provides power supply and power dispatch support for drones;

[0012] Unmanned Aerial Vehicle (UAV) Reserve Layer: Enables reserve management, positioning, and dispatch response for UAVs;

[0013] Once the drone power supply distribution layer identifies a drone with abnormal power supply, it sends information to the drone reserve layer for response and scheduling.

[0014] Preferably, the energy supply layer includes a wind power generation module, a photovoltaic power supply module, and a mains power module.

[0015] Preferably, the energy conversion and transmission layer includes an inverter, a converter, and a switching device, wherein:

[0016] The inverter converts the DC power output from the energy supply layer into AC power suitable for system transmission, energy storage, or load use.

[0017] The converter regulates the voltage and frequency of electrical energy to adapt to the power needs of different devices and performs bidirectional conversion between AC and DC power.

[0018] The switching device switches between different power transmission paths according to the system's operating status, ensuring the continuity and flexibility of power supply.

[0019] Preferably, the energy storage layer includes a battery module, a BMS module, and a PCS module, wherein:

[0020] The battery module stores electrical energy to provide backup or peak-shaving power for the system.

[0021] The BMS module monitors the voltage and temperature status of the battery module in real time.

[0022] The PCS module performs bidirectional conversion between the DC power of the battery module and the AC power of the system, and simultaneously controls the charging and discharging power.

[0023] Preferably, the intelligent operation and maintenance layer includes a multimodal monitoring module, a fault prediction module, and a visualization module, wherein:

[0024] The multimodal monitoring module integrates electrical signals, temperature, and vibration data to collect real-time operational status information of microgrid equipment and UAV power supply facilities.

[0025] The fault prediction module: Based on the real-time data collected by the multimodal monitoring module, combined with the equipment fault history database and algorithm model, analyzes and predicts the potential fault risks of microgrid equipment and UAV power supply systems;

[0026] The visualization module presents the real-time data and fault prediction results of the multimodal monitoring in a dynamic and intuitive interface.

[0027] Preferably, the control layer includes a data acquisition module, an evaluation module, an optimization scheduling module, and an MGCC module, wherein:

[0028] The data acquisition module aggregates operational data from all levels of the smart microgrid.

[0029] The evaluation module: Based on the information from the data acquisition module, it predicts the energy supply and demand trends of the microgrid and the changes in the power load of the drone, and assesses the energy surplus or deficit of the system in advance.

[0030] The optimized scheduling module: based on the supply and demand trends of the evaluation module, combined with the energy supply of the microgrid, energy storage capacity and power supply requirements of drones, coordinates the resource allocation between energy supply, energy storage release and drone power supply;

[0031] The MGCC module receives the scheme instructions from the optimization scheduling module, integrates the system's operating status information, and issues precise control instructions to devices at each level.

[0032] Preferably, the UAV power supply distribution layer includes a charging module, a battery swapping module, an intelligent distribution module, and an emergency dispatch module, wherein:

[0033] The charging module provides charging services for the drone, and the charging method is to provide electrical energy through the connection to the microgrid;

[0034] The battery swapping module: When the drone takes a long time to charge, it performs a battery swapping operation and transfers the swapped-out battery to the charging module for recharging.

[0035] The intelligent allocation module integrates the energy status of the microgrid, the task priority of the drone, and its power demand information to accurately match power supply resources with the drone's needs.

[0036] The emergency dispatch module: When the drone mission is temporarily adjusted or there is a sudden shortage of power resources, it reports to the control layer, coordinates the resources of the drone reserve layer, quickly adjusts the power supply service allocation strategy, and coordinates the emergency energy supply of the microgrid to ensure the continuity of logistics and delivery missions.

[0037] Preferably, the UAV reserve layer includes a supply station module, a positioning module, a UAV deployment response module, a UAV deployment selection module, and a classification module, wherein:

[0038] The supply station module provides the UAV with supply support in addition to electrical power.

[0039] The positioning module: uses satellite positioning to obtain accurate location information of the node and the drone to be scheduled in real time;

[0040] The drone dispatch response module receives emergency dispatch commands from the UAV power supply distribution layer, quickly responds, and executes UAV dispatch actions.

[0041] The drone selection module: combines the current status of the drone and the resource inventory in the reserve to select the model that best matches the current mission requirements from the standby drones;

[0042] The classification module is responsible for classifying and managing the drones and related materials within the node.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. This invention, through demand prediction and optimized scheduling in the scheduling system center, combined with the intelligent matching function of the UAV power supply distribution layer, can accurately match the power demand of UAVs with different priority delivery tasks, rationally allocate charging and battery swapping resources, reduce energy waste, and improve the energy utilization efficiency of nodes. It is applicable to intelligent microgrid systems for UAV logistics delivery nodes.

[0045] 2. The intelligent operation and maintenance layer in this invention has multimodal monitoring and fault prediction functions, which can identify potential faults in microgrid equipment and drone power supply facilities in advance, and facilitate rapid handling by combining visualization; the emergency dispatch module is linked with the drone reserve layer, which can quickly respond to sudden power supply situations and reduce the impact of faults on delivery operations.

[0046] 3. This invention ensures the continuity and flexibility of logistics and distribution. The battery swapping module shortens the time for drones to recharge, and the emergency drone dispatching module can cope with mission adjustments and energy shortages. Combined with the rapid dispatching response of the drone reserve layer, it can dynamically adapt to changes in delivery missions, ensure the smooth progress of high-priority missions, and improve the service quality and response speed of node logistics and distribution.

[0047] 4. In the intelligent microgrid system for drone logistics delivery nodes, this invention adopts a multi-energy complementary architecture of wind, solar, energy storage and grid power. Combined with precise charging and discharging control of the energy storage layer, it can ensure the continuous energy supply of drone logistics delivery nodes, reduce reliance on single grid power, cope with the risk of power outages during extreme weather or grid failures, and ensure that delivery tasks are not interrupted. Attached Figure Description

[0048] Figure 1 This is a schematic diagram of a smart microgrid and high-efficiency energy storage system for low-altitude infrastructure according to the present invention.

[0049] Figure 2 This is a schematic diagram of the dispatching system center of a smart microgrid and high-efficiency energy storage system for low-altitude infrastructure according to the present invention;

[0050] Figure 3 This is a schematic diagram of the energy supply layer of a smart microgrid and high-efficiency energy storage system for low-altitude infrastructure according to the present invention.

[0051] Figure 4 This is a schematic diagram of the energy conversion and transmission layer of a smart microgrid and high-efficiency energy storage system for low-altitude infrastructure according to the present invention.

[0052] Figure 5 This is a schematic diagram of the energy storage layer of a smart microgrid and high-efficiency energy storage system for low-altitude infrastructure according to the present invention. Detailed Implementation

[0053] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0054] like Figures 1-5 The illustrated smart microgrid and high-efficiency energy storage system for low-altitude infrastructure includes an energy supply layer, an energy conversion and transmission layer, an energy storage layer, a drone power supply and distribution layer, a drone reserve layer, and a dispatch system center, wherein:

[0055] Energy supply layer: Provides the initial power source for the system through wind power generation, photovoltaic power generation, and grid power;

[0056] Energy conversion and transmission layer: used to convert electrical energy in the energy supply layer and switch its transmission path;

[0057] Energy storage layer: for storing, managing, and controlling the charging and discharging of electrical energy;

[0058] Dispatch System Center: Includes intelligent operation and maintenance layer and control layer, which performs data collection, demand forecasting and power supply dispatch optimization;

[0059] Drone power distribution layer: Provides power supply and power dispatch support for drones;

[0060] Unmanned Aerial Vehicle (UAV) Reserve Layer: Enables reserve management, positioning, and dispatch response for UAVs;

[0061] Once the drone power supply distribution layer identifies a drone with abnormal power supply, it sends information to the drone reserve layer for response and scheduling.

[0062] The energy supply layer comprises wind power modules, photovoltaic power modules, and mains power modules. This layer is the core energy source, providing a stable initial power supply for drone refueling and system operation. It utilizes three main modules—photovoltaic, wind power, and mains power—which work synergistically to balance energy conservation and emergency reliability, adapt to high-frequency refueling needs at nodes, and increase the utilization of environmentally friendly energy sources.

[0063] The energy conversion and transmission layer includes inverters, converters, and switching devices, wherein:

[0064] Inverter: Converts the DC power output from the energy supply layer into AC power suitable for system transmission, energy storage, or load use. Since the photovoltaic power supply module in the energy supply layer outputs DC power, while the energy storage layer and most loads in the system require AC power for driving, the inverter can convert the output DC power into AC power that meets the system standards, laying the foundation for subsequent power transmission, storage, and use.

[0065] Inverter: Adjusts the voltage and frequency of electrical energy to meet the power needs of different devices, and performs bidirectional AC / DC power conversion; it can precisely adjust the voltage and frequency of electrical energy to meet the differentiated power needs of different devices. According to different voltage requirements, the inverter achieves power adaptation through parameter adjustment; it can also support bidirectional AC / DC conversion, which can convert the AC power output of the inverter into DC power with specific parameters for use by energy storage or special loads, and can also convert the DC power released by the energy storage layer into AC power for system allocation, thereby improving the reuse rate and adaptability of electrical energy.

[0066] Switching device: Based on the system operating status, it switches between different power transmission paths to ensure the continuity and flexibility of power supply.

[0067] The energy storage layer includes battery modules, BMS modules, and PCS modules, among which:

[0068] Battery module: Stores electrical energy to provide backup or peak power for the system; it can store surplus electrical energy from the energy supply layer and release it to provide backup or peak power for the system in scenarios such as peak system power consumption, insufficient clean energy supply or mains power outage, ensuring a stable supply of core needs such as drone recharging.

[0069] BMS module: Real-time monitoring of the voltage and temperature status of the battery module, timely detection of abnormal conditions such as overcharging, over-discharging, and overheating, ensuring safe operation of the battery and extending its service life.

[0070] PCS module: Performs bidirectional conversion between DC power from the battery module and AC power from the system, while controlling the charging and discharging power. It can work with the energy conversion and transmission layer equipment to complete the energy form adaptation, ensuring the high efficiency and stability of the energy storage process. At the same time, it can reasonably adjust the power and rhythm of energy release according to the system scheduling requirements, adapting to dynamic power needs such as drone refueling.

[0071] The intelligent operation and maintenance layer includes a multimodal monitoring module, a fault prediction module, and a visualization module, among which:

[0072] Multimodal monitoring module: integrates electrical signals, temperature, and vibration data to collect real-time operational status information of microgrid equipment and UAV power supply facilities;

[0073] Fault prediction module: Based on real-time data collected by the multimodal monitoring module, combined with the equipment fault history database and algorithm model, it analyzes and predicts the potential fault risks of microgrid equipment and drone power supply systems; enabling maintenance personnel to take targeted measures before faults occur, reducing the impact of faults on system operation and drone delivery tasks.

[0074] Visualization module: Presents real-time data from multimodal monitoring and fault prediction results in a dynamic and intuitive interface, enabling maintenance personnel to quickly and clearly grasp the overall system operation and providing convenient support for the precise implementation of maintenance operations.

[0075] The control layer includes a data acquisition module, an evaluation module, an optimization scheduling module, and an MGCC module, among which:

[0076] Data acquisition module: Summarizes operational data from all levels of the smart microgrid;

[0077] Assessment module: Based on the information from the data acquisition module, predict the energy supply and demand trends of the microgrid and the changes in the power load of drones, and assess the energy surplus or deficit of the system in advance.

[0078] Optimized scheduling module: Based on the supply and demand trends of the evaluation module, combined with the energy supply of the microgrid, energy storage capacity and power supply requirements of drones, coordinate the resource allocation between energy supply, energy storage release and drone power supply;

[0079] MGCC module: Receives scheme instructions from the optimization scheduling module, integrates system operation status information, and issues precise control instructions to devices at all levels.

[0080] The optimized scheduling module described above can adopt the following example scheme. The core objective of this scheme is to balance the supply of multiple energy sources, the demand of drones, and energy storage regulation, minimize energy waste, and ensure priority demand. The formula is as follows:

[0081] The objective function is:

[0082] The core constraints are:

[0083] Of the above: Scheduling time window (e.g., 1 hour, divided into segments) =1, 2… (a time segment)

[0084] : Power supplied by wind and solar renewable energy sources at any time (kW);

[0085] : Current mains power supply (kW);

[0086] / : Real-time energy storage discharge / charge power (kW, discharge is positive, charge is negative);

[0087] Number of drones awaiting power supply;

[0088] Priority weight of the i-th drone (high priority) =1.2, normal =1.0, low priority =0.8);

[0089] : Power required (kW) for the i-th UAV at time i.

[0090] Among them, the objective function uses square terms to amplify the impact of energy waste and avoid significant supply and demand imbalance; the constraint conditions ensure that "total energy supply + energy storage discharge ≥ total demand + energy storage charging" to ensure stable power supply; it retains the priority of multiple energy sources (wind and solar + grid power), energy storage regulation and drones, which is more comprehensive than the simplest model and has fewer redundant constraints than the complex model.

[0091] The drone power supply distribution layer includes a charging module, a battery swapping module, an intelligent distribution module, and an emergency drone dispatching module, among which:

[0092] Charging module: Provides charging services for drones: The charging method is to provide electrical energy through connection to the microgrid, which meets the regular power replenishment needs of drones and is the basic guarantee for drone power replenishment.

[0093] Battery swapping module: When the drone takes a long time to charge, the battery is swapped and the swapped battery is transferred to the charging module for recharging, which greatly shortens the drone's recharging waiting time and improves delivery efficiency.

[0094] Intelligent Allocation Module: Integrates the energy status of the microgrid, the mission priority of the drone, and its power demand information to accurately match power supply resources with the needs of the drone, rationally allocate charging and battery swapping resources, avoid resource waste, and ensure the power replenishment needs of high-priority mission drones.

[0095] Emergency dispatch module: When drone missions are temporarily adjusted or there is a sudden shortage of power resources, after reporting to the control layer, it coordinates the resources of the drone reserve layer, quickly adjusts the power supply service allocation strategy, and coordinates the emergency energy supply of the microgrid to ensure the continuity of logistics and delivery missions.

[0096] The UAV reserve layer includes a supply station module, a positioning module, a deployment response module, a deployment selection module, and a classification module, among which:

[0097] Supply station module: Provides supporting supplies for drones in addition to power; can replenish supplies such as lubricants and spare parts according to the needs of drone delivery process, and comprehensively ensure the normal operation of drones.

[0098] Positioning module: Through satellite positioning, it obtains the precise location information of the node and the drones to be dispatched in real time; it provides accurate location data support for drone dispatching and task coordination, ensuring that dispatching actions are accurate and efficient.

[0099] Dispatch Response Module: Receives emergency dispatch instructions from the UAV power supply distribution layer, quickly responds and executes UAV dispatch actions, ensuring dispatch timeliness in emergency scenarios.

[0100] The drone selection module combines the current status of the drones with the resource inventory in the reserve to select the model that best matches the current mission requirements from the standby drones, ensuring the adaptability of mission transitions.

[0101] Classification Module: Responsible for classifying and managing drones and related supplies within the node, storing and managing them according to dimensions such as drone model, task type, and material category, thereby improving the efficiency of drone scheduling and material replenishment and reducing management costs.

[0102] This power grid system, through demand prediction and optimized scheduling by the dispatching system center, combined with the intelligent matching function of the drone power supply distribution layer, can accurately match the power demand of drones with different priority delivery tasks, rationally allocate charging and battery swapping resources, reduce energy waste, and improve node energy utilization efficiency. It is suitable for intelligent microgrid systems for drone logistics delivery nodes.

[0103] The intelligent operation and maintenance layer has multimodal monitoring and fault prediction functions, which can identify potential faults in microgrid equipment and drone power supply facilities in advance, and combined with visualization, it can facilitate rapid handling; the emergency dispatch module is linked with the drone reserve layer, which can quickly respond to sudden power supply situations and reduce the impact of faults on delivery operations.

[0104] It can ensure the continuity and flexibility of logistics and distribution. The battery swapping module shortens the time for drones to recharge, and the emergency drone dispatching module can cope with mission adjustments and energy shortages. Combined with the rapid dispatching response of the drone reserve layer, it can dynamically adapt to changes in delivery missions, ensure the smooth progress of high-priority missions, and improve the service quality and response speed of node logistics and distribution.

[0105] The entire power grid system is used in the smart microgrid system of drone logistics delivery nodes. It adopts a multi-energy complementary architecture of wind, solar and energy storage and grid power. Combined with precise charging and discharging control of the energy storage layer, it can ensure the continuous energy supply of drone logistics delivery nodes, reduce dependence on single grid power, cope with the risk of power outage during extreme weather or grid failures, and ensure that delivery tasks are not interrupted.

[0106] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A smart microgrid and high-efficiency energy storage system for low-altitude infrastructure, characterized in that: It includes an energy supply layer, an energy conversion and transmission layer, an energy storage layer, a drone power supply and distribution layer, a drone reserve layer, and a dispatch system center, among which: Energy supply layer: Provides the initial power source for the system through wind power generation, photovoltaic power generation, and grid power; Energy conversion and transmission layer: used to convert electrical energy in the energy supply layer and switch its transmission path; Energy storage layer: for storing, managing, and controlling the charging and discharging of electrical energy; Dispatch System Center: Includes intelligent operation and maintenance layer and control layer, which performs data collection, demand forecasting and power supply dispatch optimization; Drone power distribution layer: Provides power supply and power dispatch support for drones; Unmanned Aerial Vehicle (UAV) Reserve Layer: Enables reserve management, positioning, and dispatch response for UAVs; Once the drone power supply distribution layer identifies a drone with abnormal power supply, it sends information to the drone reserve layer for response and scheduling.

2. The intelligent microgrid and high-efficiency energy storage system for low-altitude infrastructure according to claim 1, characterized in that: The energy supply layer includes a wind power generation module, a photovoltaic power supply module, and a mains power module.

3. The intelligent microgrid and high-efficiency energy storage system for low-altitude infrastructure according to claim 1, characterized in that: The energy conversion and transmission layer includes an inverter, a converter, and a switching device, wherein: The inverter converts the DC power output from the energy supply layer into AC power suitable for system transmission, energy storage, or load use. The converter regulates the voltage and frequency of electrical energy to adapt to the power needs of different devices and performs bidirectional conversion between AC and DC power. The switching device switches between different power transmission paths according to the system's operating status, ensuring the continuity and flexibility of power supply.

4. The intelligent microgrid and high-efficiency energy storage system for low-altitude infrastructure according to claim 1, characterized in that: The energy storage layer includes a battery module, a BMS module, and a PCS module, wherein: The battery module stores electrical energy to provide backup or peak-shaving power for the system. The BMS module monitors the voltage and temperature status of the battery module in real time. The PCS module performs bidirectional conversion between the DC power of the battery module and the AC power of the system, and simultaneously controls the charging and discharging power.

5. The intelligent microgrid and high-efficiency energy storage system for low-altitude infrastructure according to claim 1, characterized in that: The intelligent operation and maintenance layer includes a multimodal monitoring module, a fault prediction module, and a visualization module, wherein: The multimodal monitoring module integrates electrical signals, temperature, and vibration data to collect real-time operational status information of microgrid equipment and UAV power supply facilities. The fault prediction module: Based on the real-time data collected by the multimodal monitoring module, combined with the equipment fault history database and algorithm model, analyzes and predicts the potential fault risks of microgrid equipment and UAV power supply systems; The visualization module presents the real-time data and fault prediction results of the multimodal monitoring in a dynamic and intuitive interface.

6. The intelligent microgrid and high-efficiency energy storage system for low-altitude infrastructure according to claim 1, characterized in that: The control layer includes a data acquisition module, an evaluation module, an optimization scheduling module, and an MGCC module, wherein: The data acquisition module aggregates operational data from all levels of the smart microgrid. The evaluation module: Based on the information from the data acquisition module, it predicts the energy supply and demand trends of the microgrid and the changes in the power load of the drone, and assesses the energy surplus or deficit of the system in advance. The optimized scheduling module: based on the supply and demand trends of the evaluation module, combined with the energy supply of the microgrid, energy storage capacity and power supply requirements of drones, coordinates the resource allocation between energy supply, energy storage release and drone power supply; The MGCC module receives the scheme instructions from the optimization scheduling module, integrates the system's operating status information, and issues precise control instructions to devices at each level.

7. The intelligent microgrid and high-efficiency energy storage system for low-altitude infrastructure according to claim 1, characterized in that: The UAV power supply distribution layer includes a charging module, a battery swapping module, an intelligent distribution module, and an emergency dispatch module, wherein: The charging module provides charging services for the drone, and the charging method is to connect to the microgrid's electrical energy. The battery swapping module: When the drone takes a long time to charge, it performs a battery swapping operation and transfers the swapped-out battery to the charging module for recharging. The intelligent allocation module integrates the energy status of the microgrid, the task priority of the drone, and its power demand information to accurately match power supply resources with the drone's needs. The emergency dispatch module: when the drone mission is temporarily adjusted or there is a sudden shortage of power resources, it reports to the control layer, coordinates the resources of the drone reserve layer, quickly adjusts the power supply service allocation strategy, and coordinates the emergency energy supply of the microgrid to ensure the continuity of logistics and delivery missions.

8. The intelligent microgrid and high-efficiency energy storage system for low-altitude infrastructure according to claim 1, characterized in that: The UAV reserve layer includes a supply station module, a positioning module, a UAV deployment response module, a UAV deployment selection module, and a classification module, wherein: The supply station module provides the UAV with supply support in addition to electrical power. The positioning module: uses satellite positioning to obtain accurate location information of the node and the drone to be scheduled in real time; The drone dispatch response module receives emergency dispatch commands from the UAV power supply distribution layer, quickly responds, and executes UAV dispatch actions. The drone selection module: combines the current status of the drone and the resource inventory in the reserve to select the model that best matches the current mission requirements from the standby drones; The classification module is responsible for classifying and managing the drones and related materials within the node.

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