Mobile energy network system

Abstract

A mobile energy network system (200), which comprises: a mobile energy robot (205) configured to store electrical energy and perform bidirectional charging and discharging and capable of moving within a preset range; an energy gateway (210) configured to connect to an electrical grid and / or an electrical microgrid; an automatic docking device (215) configured to connect the energy gateway to the mobile energy robot, wherein a first end of the automatic docking device is connected to the energy gateway, and a second end of the automatic docking device can be automatically docked to and separated from the mobile energy robot, and when the mobile energy robot moves to a preset position near the automatic docking device, the mobile energy robot is automatically docked to the automatic docking device so as to realize a bidirectional flow of electrical energy between the mobile energy robot and the electrical grid and / or the electrical microgrid; and an energy management and dispatching platform (220) configured to manage and dispatch the flow of electrical energy in the mobile energy robot, the energy gateway and the automatic docking device. The present application further includes an energy exchange method, a virtual power plant system and a demand-side response method.

Description

Mobile energy network system Technical Field

[0001] The present application generally relates to the field of electric energy charging and storage, to an integrated electric energy charging and storage system, and in particular to a mobile energy network system. Background Art

[0002] The new energy charging market can be divided into two categories: fixed charging and mobile charging. Fixed charging solutions have problems such as difficulty in infrastructure construction, poor user experience, and low operational efficiency. Compared with fixed charging solutions, mobile charging solutions reduce the difficulty of infrastructure construction, improve user experience, and improve operational efficiency. However, when the number of new energy terminals (for example, new energy vehicles) exceeds a certain number, the charging demand is concentrated in a specific time period (for example, at night), and the scheduling and management difficulty increases, which puts higher demands on the power grid and brings great challenges to the stability and service capabilities of the power grid system.

[0003] At the same time, more and more charging devices also have energy storage functions, which can not only obtain electrical energy from the power grid for storage, but also release electrical energy (for example, provide it to devices that need to be charged or feed it back to the power grid).

[0004] However, numerous challenges and improvements remain in the areas of interaction between vehicle terminals and the power grid, charging and discharging decisions, controlling the impact of vehicle terminal charging and discharging on the power grid, and intelligent scheduling and optimization of electrical energy. Currently, no integrated system can effectively address these issues.

[0005] In view of this, it is desired to provide an integrated electric energy charging and storage system, in particular an integrated mobile energy network system.

[0006] Summary of the Invention

[0007] The following is a brief summary of one or more aspects to provide a basic understanding of these aspects. This summary is not an exhaustive overview of all conceivable aspects and is neither intended to identify key or critical elements of all aspects nor to define the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.

[0008] The present application provides a mobile energy network system, comprising: a mobile energy robot, which is configured to store electric energy and perform bidirectional charging and discharging, and the mobile energy robot can move within a preset range; an energy gateway, which is configured to connect to a power grid and / or a microgrid; an automatic docking device, which is configured to connect the energy gateway and the mobile energy robot, a first end of the automatic docking device is connected to the energy gateway, and a second end of the automatic docking device can automatically dock and detach with the mobile energy robot, wherein when the mobile energy robot moves to a preset position near the automatic docking device, the automatic docking device automatically docks with the mobile energy robot to realize a bidirectional flow of electric energy between the mobile energy robot and the power grid and / or microgrid; and an energy management and scheduling platform, which is configured to manage and schedule the flow of electric energy in the mobile energy robot, the energy gateway and the automatic docking device.

[0009] In some embodiments, the mobile energy robot includes a socket, and the second end of the automatic docking device is an automatic robotic arm, which can automatically dock with the socket of the mobile energy robot to connect the mobile energy robot and the energy gateway, thereby realizing energy exchange between the mobile energy robot and the power grid and / or microgrid.

[0010] In some embodiments, the mobile energy robot includes a charging gun, which can be docked with and detached from the charging socket of the new energy vehicle to achieve energy exchange between the mobile energy robot and the new energy vehicle.

[0011] In some embodiments, the mobile energy network system further includes an operation-side application, which is configured to provide management and monitoring for the operation of each mobile energy robot in the mobile energy network system based on the energy management and scheduling platform.

[0012] In some embodiments, the mobile energy network system further includes a user-side application, which is configured to provide charging and discharging services to users based on the energy management and scheduling platform.

[0013] The present application also provides an energy exchange method performed by the aforementioned mobile energy network system, including: the energy management and scheduling platform receives charging and discharging service requirements; the energy management and scheduling platform obtains the status information of all mobile energy robots in the mobile energy network system; the energy management and scheduling platform formulates an optimal response strategy based on the charging and discharging service requirements and the status information of all mobile energy robots, and determines the responding mobile energy robot to execute the response; and the energy management and scheduling platform schedules the responding mobile energy robot to execute the optimal response strategy to complete the charging and discharging service.

[0014] In some embodiments, the charging and discharging service demand includes power parameters, time period parameters, and response area parameters; and / or the status information includes power information and location information of the corresponding mobile energy robot.

[0015] In some embodiments, the charging and discharging service demand includes the charging and discharging service demand from the new energy vehicle, wherein the energy management scheduling platform dispatches the responder mobile energy robot to complete the charging and discharging service further includes: the energy management scheduling platform dispatches the responder mobile energy robot to move to the vicinity of the new energy vehicle to complete the charging and discharging service for the new energy vehicle.

[0016] In some embodiments, the energy management scheduling platform dispatches the responder mobile energy robot to move to the vicinity of the new energy vehicle further including: the energy management scheduling platform generates a planned path based on the regional map information, the vehicle location information of the new energy vehicle, and the location information of the responder mobile energy robot and sends it to the responder mobile energy robot, and the responder mobile energy robot moves to the vicinity of the new energy vehicle according to the planned path; or the energy management scheduling platform sends the vehicle location information of the new energy vehicle to the responder mobile energy robot, and the responder mobile energy robot generates a planned path based on the regional map information, the vehicle location information of the new energy vehicle and the location information of the responder mobile energy robot, and moves to the vicinity of the new energy vehicle according to the planned path.

[0017] In some embodiments, the charging and discharging service demand includes the charging and discharging service demand from the power grid and / or microgrid, wherein the energy management scheduling platform dispatches the responder mobile energy robot to complete the charging and discharging service further includes: the energy management scheduling platform dispatches the responder mobile energy robot to a preset position near the automatic docking device, so that the automatic docking device automatically docks with the responder mobile energy robot to complete the charging and discharging service to the power grid and / or microgrid.

[0018] In some embodiments, the charging and discharging service demand includes an emergency charging and discharging service demand, wherein the optimal response strategy is further formulated based on the initiator of the emergency charging and discharging service demand and the urgency of the demand, wherein the energy management scheduling platform dispatches the responder mobile energy robot to complete the charging and discharging service further includes: the energy management scheduling platform dispatches the responder mobile energy robot to move to a location associated with the initiator to complete the emergency charging and discharging service for the initiator.

[0019] In some embodiments, the charging and discharging service demand includes multiple charging and discharging service demands from different initiators, and the energy exchange method further includes: the energy management scheduling platform formulates an optimal response strategy based on multiple charging and discharging service demands and status information of all mobile energy robots; the energy management scheduling platform determines the priority of the response demand and the responder mobile energy robot that performs the response; and the energy management scheduling platform schedules the responder mobile energy robot to complete one or more charging and discharging services based on the priority.

[0020] In some embodiments, the energy exchange method further includes: the mobile energy robot in the mobile energy network system obtains and stores electricity from the power grid and / or microgrid during low-consumption periods; and the mobile energy robot uses the stored electricity to supply power to the outside during peak-consumption periods to respond to charging needs.

[0021] In some embodiments, the energy exchange method further includes: the mobile energy robot in the mobile energy network system obtains and stores electricity from the power grid and / or microgrid during a first period when electricity prices are low; and the mobile energy robot uses the stored electricity to supply power to the outside in response to charging needs during a second period when electricity prices are higher.

[0022] The present application also provides a virtual power plant system, comprising: a plurality of the aforementioned mobile energy network systems; and a virtual power plant management platform, which is configured to manage the distribution and flow of electric energy in each mobile energy network system.

[0023] The present application also provides a method for performing demand-side response using the aforementioned virtual power plant system, including: receiving a demand response invitation or a real-time demand response instruction from the power management platform of the power grid; performing the following operations when receiving the demand response invitation: formulating an initial response plan based on the demand response invitation and providing it to the power management platform; formulating an actual response plan based on the power management platform's feedback on the initial response plan; and controlling the flow of electric energy of one or more mobile energy network systems based on the actual response plan; performing the following operations when receiving the real-time demand response instruction: controlling the flow of electric energy of the one or more mobile energy network systems in real time.

[0024] In some embodiments, the demand response invitation includes a response range, a demand amount, a time period, and an invitation deadline.

[0025] In some embodiments, controlling the flow of electric energy of one or more mobile energy network systems based on the actual response plan further includes: during the peak shaving demand response period, causing the mobile energy robots in the one or more mobile energy network systems to discharge to the power grid through the energy gateway; and during the valley filling demand response period, causing the mobile energy robots in the one or more mobile energy network systems to obtain electric energy from the power grid through the energy gateway.

[0026] The technical solution of the present application proposes an overall solution for a mobile energy network system. The mobile energy network system can flexibly meet the electricity demand of various types of users in different areas at different times, realize intelligent scheduling of electric energy and optimize the circulation of electric energy, and effectively improve the flexibility and sustainability of energy exchange. By obtaining the power generation, consumption and storage conditions of each device / module in the mobile energy network system, it is possible to realize intelligent scheduling and optimization of electric energy, and achieve a balance between supply and demand of electric energy. At the same time, the mechanism of two-way flow of electric energy enables new energy vehicles to obtain electric energy from the power grid and to feed electric energy back to the power grid, thereby making new energy vehicles a powerful supplement to the power grid and improving the flexibility and sustainability of energy exchange. In addition, the automatic docking and separation of the mobile energy robot and the automatic docking device can effectively improve the efficiency of energy exchange and expand the area of ​​charging and discharging services, thereby being able to meet the charging and discharging service needs in a wider range and improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The features, nature, and advantages of the present application will become more apparent when the detailed description set forth below is read in conjunction with the accompanying drawings. Like reference numerals are used throughout the accompanying drawings. It should be noted that the drawings described are schematic and non-limiting. In the drawings, the dimensions of some components may be exaggerated and not drawn to scale for illustrative purposes.

[0028] FIG1 shows an architecture diagram of a mobile energy network system according to various aspects of the present application.

[0029] FIG2 shows a block diagram of a mobile energy network system according to various aspects of the present application.

[0030] FIG3 illustrates an energy exchange method performed by a mobile energy network system according to various aspects of the present application.

[0031] FIG4 illustrates an energy exchange process for a single charging and discharging service demand according to various aspects of the present application.

[0032] FIG5 illustrates an energy exchange process for multiple charging and discharging service requirements according to various aspects of the present application.

[0033] FIG6 illustrates an exemplary decision process for storing and releasing electrical energy during an energy exchange process according to aspects of the present application.

[0034] FIG7 shows a schematic diagram of a virtual power plant system according to aspects of the present application.

[0035] FIG8 illustrates a method for performing demand-side response using a virtual power plant system according to aspects of the present application. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. In the following detailed description, many specific details are set forth to provide a thorough understanding of the described exemplary embodiments. However, it is obvious to those skilled in the art that the described embodiments can be practiced without some or all of these specific details. In other exemplary embodiments, well-known structures are not described in detail to avoid unnecessarily obscuring the concepts of the present application. It should be understood that the specific embodiments described herein are merely used to explain the present application and are not intended to limit the present application. At the same time, in the absence of conflict, the various aspects described in the embodiments can be combined arbitrarily.

[0037] FIG1 shows an architecture diagram 100 of a mobile energy network system according to various aspects of the present application.

[0038] As shown in the figure, the mobile energy network system of the present application mainly involves multiple devices / modules such as energy gateway, automatic docking device, mobile energy robot, energy management and scheduling platform, user-side application, operation-side application, etc. In addition, the power grid and / or microgrid and user vehicles are shown in dotted boxes in Figure 1. The power grid and / or microgrid and user vehicles are outside the mobile energy network system and can exchange energy with the mobile energy network system. As shown in the figure, electric energy can flow bidirectionally between the mobile energy network system and the power grid and / or microgrid, and user vehicles can be bidirectionally charged and discharged with the mobile energy network system.

[0039] Specifically, the mobile energy robot is used to store electrical energy and perform bidirectional charging and discharging, and the mobile energy robot can move within a preset range.

[0040] As shown in the figure, the mobile energy robot can charge the user's vehicle (e.g., a new energy vehicle). Specifically, the mobile energy robot can move near the user's vehicle and dock with the user's vehicle, so that the user's vehicle can obtain power from the mobile energy robot.

[0041] In some implementations, if the user vehicle has a discharge function, the user vehicle can also reversely discharge the mobile energy robot, that is, the mobile energy robot can recycle the electrical energy released by the user vehicle.

[0042] The energy gateway is capable of connecting to the power grid and / or microgrid outside the mobile energy network system, while the automatic docking device is used to connect the energy gateway and the mobile energy robot. As shown in the figure, one end of the automatic docking device is connected to the energy gateway, and the other end can automatically dock and detach with the mobile energy robot. When the mobile energy robot moves to a preset position near the automatic docking device, the automatic docking device automatically docks with the mobile energy robot. As a result, a two-way path is formed between the mobile energy robot and the power grid and / or microgrid via the automatic docking device and the energy gateway, enabling the two-way flow of electrical energy between the mobile energy robot and the power grid and / or microgrid.

[0043] It should be noted that although this application focuses on describing the source of electrical energy as a grid and / or a microgrid (i.e., obtaining electrical energy from a grid and / or a microgrid), this application is not limited thereto. In actual implementation, electrical energy may also come from other sources, such as a photovoltaic system, a wind power system, and the like.

[0044] In an implementation where the electric energy comes from a photovoltaic system, the energy gateway may be connected to the photovoltaic system, and electric energy flows unidirectionally between the energy gateway and the photovoltaic system (from the photovoltaic system to the energy gateway).

[0045] The energy management and scheduling platform is primarily responsible for management and scheduling. Specifically, the energy management and scheduling platform can manage and schedule the flow of electrical energy among mobile energy robots, energy gateways, and automatic docking devices.

[0046] In addition, the energy management and scheduling platform can also monitor various data within the mobile energy network system (such as data related to the generation, consumption and storage of electric energy, operating data of various devices / modules, etc.), thereby facilitating the use of these data for subsequent analysis, statistics and decision-making.

[0047] The user-side application can provide charging and discharging services to users based on the energy management and scheduling platform. Through the background data of the energy management and scheduling platform, the user-side application can provide users with a convenient and reliable charging and discharging experience. In this application, the user-side application can have a variety of different forms, such as APPs, mini-programs, etc. in user devices (smartphones, vehicle-mounted devices, etc.). For example, a user can use the user-side application to find a nearby available mobile energy robot and initiate a request to provide charging and discharging services for his or her vehicle.

[0048] Furthermore, the operation-side application can provide operation and maintenance services based on the energy management and scheduling platform. Specifically, the operation-side application can manage and monitor the operation of each mobile energy robot in the mobile energy network system based on the energy management and scheduling platform. Based on the data provided by the energy management and scheduling platform, the operation-side application can provide comprehensive management and monitoring functions for the operation team. This allows the operation team to understand the location, power status, and operating status of the mobile energy robots in the system, thereby promptly identifying and resolving faults and better meeting charging and discharging service needs.

[0049] It should be noted that the architecture of the mobile energy network system in Figure 1 is merely exemplary and non-restrictive. In actual implementation, the mobile energy network system may have a different architecture. Those skilled in the art may adopt more devices / modules, fewer devices / modules, or different devices / modules than the architecture of Figure 1 as needed. For example, in some implementations, the mobile energy network system may also include a fixed docking device (not shown in the figure). Unlike the automatic docking device, the fixed docking device is immovable and is manually docked and detached with the mobile energy robot and / or new energy vehicle to achieve a bidirectional flow of electricity between the mobile energy robot and / or new energy vehicle and the power grid and / or microgrid. In addition, although Figure 1 shows an embodiment in which the energy gateway and the automatic docking device are arranged separately, in actual implementation, the energy gateway and the automatic docking device may also be integrated into a single device. This single device can perform the functions of both the energy gateway and the automatic docking device. In addition, an energy gateway may be paired with only one automatic docking device, or it may be paired with multiple automatic docking devices, that is, multiple automatic docking devices may be connected to the same energy gateway, or multiple automatic docking devices may be integrated into one energy gateway.

[0050] FIG2 shows a block diagram of a mobile energy network system 200 according to various aspects of the present application.

[0051] 2 , a mobile energy network system 200 may include a mobile energy robot 205, an energy gateway 210, an automatic docking device 215, an energy management and scheduling platform 220, and optionally, an operation-side application 225 and a user-side application 230. One or more of these devices / modules may be directly or indirectly connected or communicate with each other over one or more buses 235.

[0052] The mobile energy robot 205 is configured to store electrical energy and perform bidirectional charging and discharging, and the mobile energy robot 205 is capable of moving within a preset range. For example, the mobile energy robot can move within a preset charging area to perform bidirectional charging and discharging within that area. In a specific implementation, those skilled in the art can set the preset range of the mobile energy robot based on actual circumstances. For example, if a mobile energy robot is used in a shopping mall parking lot, the preset range of the mobile energy robot can be set to the entire parking lot or a specific area within the parking lot. The mobile energy robot can move within this range to perform bidirectional charging and discharging.

[0053] The energy gateway 210 is configured to connect to the power grid and / or microgrid. Specifically, the energy gateway can connect the power grid and / or microgrid to the automatic docking device to achieve a two-way flow of electrical energy between the power grid and / or microgrid and the automatic docking device.

[0054] The automatic docking device 215 is configured to connect the energy gateway 210 and the mobile energy robot 205. Specifically, a first end of the automatic docking device 215 is connected to the energy gateway 210, and a second end can automatically dock and detach with the mobile energy robot 205.

[0055] When the mobile energy robot 205 moves to a preset position near the automatic docking device 215, the automatic docking device 215 automatically docks with the mobile energy robot 205 to achieve a two-way flow of electric energy between the mobile energy robot 205 and the power grid and / or microgrid.

[0056] The preset location may be a pre-set location around the automatic docking device 215. In some examples, the preset location may be a location within a threshold distance from the automatic docking device 215. In other examples, the preset location may be a location within a specific range around the automatic docking device 215. When the mobile energy robot 205 moves to the preset location, the automatic docking device 215 can contact the mobile energy robot 205 and automatically dock with it. In some embodiments, communication signals can be sent and received between the mobile energy robot 205 and the automatic docking device 215 within the preset range.

[0057] In order to enable better docking, the automatic docking device 215 can have a moving part (not shown in the figure), and the docking module (such as a charging interface) of the automatic docking device 215 can be set on the moving part to move along with the movement of the moving part, thereby touching the mobile energy robot 205 and automatically docking with it.

[0058] In a preferred embodiment, the mobile component can move independently of the rest of the automatic docking device 215. Thus, when docking with the mobile energy robot 205, the automatic docking device 215 does not need to be moved as a whole to the vicinity of the mobile energy robot 205 (e.g., within a threshold distance). Instead, only the mobile component of the automatic docking device 215 (along with the docking module thereon) needs to be moved to the vicinity of the mobile energy robot for automatic docking. This improves docking flexibility.

[0059] The mobile energy robot 205 can be docked with other devices (eg, an automatic docking device, a user's new energy vehicle) in various ways.

[0060] In one implementation, the mobile energy robot 205 may be provided with a socket, and the second end of the automatic docking device 215 may be an automatic robotic arm. In such an implementation, when the mobile energy robot 205 moves to a preset position near the automatic docking device 215, the automatic robotic arm of the automatic docking device 215 may move and automatically dock with the socket of the mobile energy robot 205, thereby connecting the mobile energy robot 215 and the energy gateway 210, thereby enabling energy exchange between the mobile energy robot 205 and the power grid and / or microgrid.

[0061] In another implementation, the mobile energy robot 205 can be equipped with a charging gun that can be docked and detached with the charging socket of the new energy vehicle to enable energy exchange between the mobile energy robot 205 and the new energy vehicle. In this implementation, when the mobile energy robot 205 moves near the new energy vehicle, the user of the new energy vehicle can manually unplug the charging gun of the mobile energy robot 205 and plug it into the charging socket of the new energy vehicle for charging and discharging services.

[0062] In another implementation, the mobile energy robot 205 can be equipped with a charging gun and an electric control arm, which is configured to automatically connect and disconnect the charging gun from the charging socket of a new energy vehicle. In this implementation, when the mobile energy robot 205 moves near a new energy vehicle, the electric control arm can automatically connect the charging gun to the charging socket of the new energy vehicle to perform charging and discharging services without user intervention.

[0063] The energy management and scheduling platform 220 is configured to manage and schedule the flow of electric energy among the mobile energy robot 205 , the energy gateway 210 and the automatic docking device 215 .

[0064] For example, when the energy management and scheduling platform 220 receives a demand for charging and discharging services from a new energy vehicle, the energy management and scheduling platform 220 can schedule the mobile energy robot 205 to move near the new energy vehicle to complete the charging and discharging services for the new energy vehicle. When the energy management and scheduling platform 220 receives a demand for charging and discharging services from the power grid and / or microgrid, the energy management and scheduling platform 220 can schedule the mobile energy robot 205 to move to a preset position near the automatic docking device 215, so that the automatic docking device 215 and the mobile energy robot 205 automatically dock to complete the charging and discharging services for the power grid and / or microgrid. The energy management and scheduling platform 220 can schedule the operation of each device in the mobile energy network system 220 to integrate and coordinate electrical energy and achieve efficient utilization and optimization of electrical energy.

[0065] It should be noted that although the mobile energy robot is shown in the present application as being connected to the power grid and / or microgrid via the automatic docking device and the energy gateway, this is exemplary and not restrictive. In actual implementation, the mobile energy robot may also be directly connected to the energy gateway and further connected to the power grid and / or microgrid through the energy gateway. In addition, although FIG2 illustrates that the energy management and scheduling platform 220 manages and schedules the generation, consumption and storage of electric energy in the mobile energy robot 205, the energy gateway 210 and the automatic docking device 215, the present application is not limited thereto. In actual implementation, the energy management and scheduling platform 220 may also manage and schedule the generation, consumption and storage of electric energy in other devices.

[0066] The operation-side application 225 is configured to provide management and monitoring for the operation of each mobile energy robot in the mobile energy network system 200 based on the energy management and scheduling platform 220 .

[0067] Specifically, the operations application 225 provides comprehensive management and monitoring capabilities for the operations team based on the backend data provided by the energy management and scheduling platform 220. Through the operations application 225, the operations team can understand the location, power status, and operating status of each mobile energy robot within the system, allowing them to promptly identify and resolve various faults, thereby optimizing the operation and maintenance process, ensuring the accurate scheduling and efficient operation of the mobile energy robots within the system, and improving the user experience.

[0068] The user-side application 230 is configured to provide charging and discharging services to users based on the energy management and scheduling platform 220 .

[0069] Specifically, the user-side application 230 can provide users with convenient and reliable charging and discharging services based on the background data provided by the energy management and scheduling platform 220. For example, users can use the user-side application 230 to find available mobile energy robots nearby and initiate charging and discharging requests to charge their new energy vehicles or reverse charge the mobile energy robots. Users can also directly initiate charging and discharging requests through the user-side application 230, which will then send the requests to the energy management and scheduling platform 220 to complete the demand response. Through the user-side application 230, the time users spend searching for mobile energy robots and waiting can be reduced, energy consumption can be reduced, thereby achieving efficient energy utilization and allowing users to enjoy fast and convenient charging and discharging services.

[0070] The energy in this application includes electric energy from various energy sources (grids and / or microgrids, photovoltaic systems, wind energy systems, etc.), the mobile energy robot provides electric energy charging and storage services by moving, the energy management and scheduling platform manages and schedules electric energy, and energy exchange refers to the flow of electric energy between various devices / modules to complete integrated electric energy charging and storage services. In this context, the mobile energy network system of this application can also be referred to as an integrated electric energy charging and storage system, the mobile energy robot can also be referred to as a mobile charging and storage device, and the energy management and scheduling platform can also be referred to as a charging and storage management platform. In addition, the automatic docking device in this application achieves docking by moving, so the automatic docking device can also be referred to as a mobile docking device in this article.

[0071] Although specific modules / devices of the mobile energy network system 200 are shown in FIG2 , it should be noted that these modules / devices are exemplary only and not limiting. In different implementations, one or more of these modules / devices may be combined, split, or removed, or additional modules / devices may be added.

[0072] FIG3 illustrates a method 300 for energy exchange performed by a mobile energy network system according to various aspects of the present application. The method 300 may be executed by an energy management and scheduling platform (e.g., the energy management and scheduling platform 220 of FIG2 ) in a mobile energy network system (e.g., the mobile energy network system 200 of FIG2 ).

[0073] As shown in Figure 3, method 300 begins at step 305. At step 305, the energy management and scheduling platform receives a charging and discharging service demand.

[0074] In some embodiments, the received charging and discharging service demand may include but is not limited to power parameters, time period parameters, and response area parameters.

[0075] The power parameters may include various parameters related to power, such as the current remaining power, target power, desired charge capacity, desired discharge capacity, etc. The time period parameters may include parameters related to the time of the charging and discharging service, such as the desired start time of charging and discharging, the desired end time of charging and discharging, the desired time period for charging and discharging, etc. The response area parameters may include area / location information related to the response to the charging and discharging service request (e.g., the area / location of the initiator of the charging and discharging service request).

[0076] In step 310 , the energy management and scheduling platform obtains status information of all mobile energy robots in the mobile energy network system.

[0077] In some embodiments, the status information may include but is not limited to the power information of the corresponding mobile energy robot (e.g., remaining power, available power, etc.) and location information (e.g., absolute location, relative location with respect to the initiator of the charging and discharging service demand, etc.).

[0078] In step 315 , the energy management and scheduling platform formulates an optimal response strategy based on the charging and discharging service requirements and the status information of all mobile energy robots, and determines the responding mobile energy robot to execute the response.

[0079] Based on the charging and discharging service demand and the status information of all mobile energy robots obtained in steps 305 and 310, the energy management and scheduling platform can know the demand side information (for example, the power, location and area information of the initiator of the charging and discharging service demand) and the capability information of the mobile energy robots in the system (for example, the number of mobile energy robots in the system, location, power that can be provided, etc.). As a result, the energy management and scheduling platform can formulate an optimal response strategy. For example, the optimal response strategy can indicate the response amount to the charging and discharging service demand (for example, the amount of charging and discharging), the response time (the time / time period for charging and discharging), the response area (the area / location for charging and discharging), the route information to the response area, etc. In some implementations, the optimal response strategy can also indicate the associated electricity price.

[0080] The optimal response strategy can be formulated based on various criteria. For example, the response strategy with the best route to the response area (e.g., shortest route, route with the smoothest traffic, etc.) can be the optimal response strategy, the response strategy that can provide the most responses can be the optimal response strategy, and so on.

[0081] In addition, the energy management and scheduling platform can also determine the responder mobile energy robot to respond (i.e., provide charging and discharging services) among all mobile energy robots. The energy management and scheduling platform can determine the responder mobile energy robot in various ways. For example, the mobile energy robot with the largest remaining power can be selected as the responder mobile energy robot. As another example, a mobile energy robot with sufficient power and a distance from the response area less than a specific threshold can be selected as the responder mobile energy robot.

[0082] In step 320, the energy management scheduling platform schedules the responder mobile energy robot to execute the optimal response strategy to complete the charging and discharging service.

[0083] After determining the responder mobile energy robot, the energy management and scheduling platform can schedule the responder mobile energy robot (e.g., by sending instructions to the responder mobile energy robot) to execute the optimal response strategy to complete the charging and discharging service. For example, the responder mobile energy robot can travel to the response area according to the route information in the optimal response strategy to provide charging and discharging services at the response time and according to the response amount indicated in the optimal response strategy.

[0084] During the energy management and scheduling platform's execution of an energy exchange method (such as method 300), the energy management and scheduling platform may receive a single or multiple charging and discharging service requests. These charging and discharging service requests may originate from different initiators, necessitating different processing flows. The following discusses the processing flows for single or multiple charging and discharging service requests originating from different initiators, with reference to FIG4 and FIG5 .

[0085] FIG4 illustrates an energy exchange process 400 for a single charging and discharging service demand according to aspects of the present disclosure.

[0086] As shown in FIG4 , for a single charging and discharging service demand ( 405 ) received by the energy management and scheduling platform, the source of the charging and discharging service demand (ie, the demand initiator / requester) may be determined first.

[0087] In some cases, a single charging and discharging service demand may come from a new energy vehicle (410). In such a case, the energy management scheduling platform may schedule the responder mobile energy robot to move near the new energy vehicle (420).

[0088] In some embodiments, the energy management scheduling platform schedules the responder mobile energy robot to move near the new energy vehicle further includes: the energy management scheduling platform generates a planned path (415) based on regional map information, vehicle location information of the new energy vehicle, and location information of the responder mobile energy robot and sends it to the responder mobile energy robot, and the responder mobile energy robot moves to the vicinity of the new energy vehicle according to the planned path (420).

[0089] In some other embodiments, the energy management scheduling platform scheduling the responder mobile energy robot to move near the new energy vehicle further includes: the energy management scheduling platform sends the vehicle location information of the new energy vehicle to the responder mobile energy robot, the responder mobile energy robot generates a planned path (415) based on the regional map information, the vehicle location information of the new energy vehicle and the location information of the responder mobile energy robot, and moves to the vicinity of the new energy vehicle according to the planned path (420).

[0090] After the responder mobile energy robot moves to the vicinity of the new energy vehicle, the charging and discharging service for the new energy vehicle can be completed (430).

[0091] In some cases, a single charging and discharging service demand may come from the power grid and / or microgrid (435). In such a case, the energy management scheduling platform may schedule the responder mobile energy robot to move to a preset position near the automatic docking device (440), so that the automatic docking device and the responder mobile energy robot automatically dock (445) to complete the charging and discharging service for the power grid and / or microgrid (450).

[0092] The above-mentioned charging and discharging service demands are all demands for regular charging and discharging services and do not involve emergency or temporary charging and discharging. Such charging and discharging service demands are also referred to as regular charging and discharging service demands in this article.

[0093] In contrast to conventional charging and discharging service demands, in some cases, a single charging and discharging service demand may include an emergency charging and discharging service demand (also referred to herein as an emergency demand) (455). The initiator of the emergency charging and discharging service demand may be a new energy vehicle, a power grid and / or a microgrid, or other external loads (e.g., various devices / equipment in the system other than new energy vehicles that utilize electrical energy to operate).

[0094] Emergency charging and discharging service requests can include urgent charging and discharging service requests, temporary charging and discharging service requests, and so on. For example, if the external load's power level is so low that it is about to fail, an emergency charging service request may be issued. In other examples, if the grid and / or microgrid plans to temporarily increase the load at a certain time in the future, a temporary charging service request may be issued. Emergency charging and discharging service requests are often more urgent than regular charging and discharging service requests.

[0095] Thus, for the emergency charging and discharging service demand, the energy management and scheduling platform can determine the initiator of the emergency charging and discharging service demand and the urgency of the demand (460). In this case, the optimal response strategy can be further formulated based on the initiator and the urgency of the demand.

[0096] Subsequently, the energy management and scheduling platform can dispatch the responder mobile energy robot to move to a location associated with the initiator (465) to complete the emergency charging and discharging service for the initiator (470). For example, if the initiator is an external load that urgently needs to be charged, the mobile energy robot can move to the vicinity of the external load to complete the emergency charging service for the external load. If the initiator is a power grid and / or microgrid that plans to temporarily increase the load, the mobile energy robot can move to the automatic docking device to complete the emergency charging service for the power grid and / or microgrid by docking with the automatic docking device.

[0097] FIG5 illustrates an energy exchange process 500 for multiple charging and discharging service demands according to aspects of the present disclosure.

[0098] As shown in FIG5 , the energy management and scheduling platform may receive multiple charging and discharging service demands ( 505 ).

[0099] Next, the energy management and scheduling platform may formulate an optimal response strategy based on the multiple charging and discharging service demands and the status information of all mobile energy robots in the mobile energy network system (510).

[0100] The energy management scheduling platform can then determine the priority of responding to the multiple charging and discharging service demands (515) and the responder mobile energy robot (520) that performs the response.

[0101] In a specific implementation, the priority may be determined based on various criteria.

[0102] In some examples, the priority can be determined based on the electricity price or electricity price * electricity volume. In such examples, the charging and discharging service demand may also include an electricity price parameter to indicate the electricity price associated with the charging and discharging service demand, such as the price at which the demand initiator purchases electricity.

[0103] For example, in an embodiment where priority is determined based on the level of electricity prices, if the electricity price associated with a charging and discharging service demand (for example, the price at which the demand initiator purchases electricity) is greater than the electricity price associated with another charging and discharging service demand, the charging and discharging service demand with the higher electricity price can be given a higher priority.

[0104] In an embodiment in which priority is determined based on the level of electricity price*electricity quantity, if the required electricity quantity*associated electricity price indicated by the electricity quantity parameter in one charging and discharging service demand is greater than the required electricity quantity*associated electricity price indicated by the electricity quantity parameter from another charging and discharging service demand, then the priority of the charging and discharging service demand with the higher required electricity quantity*associated electricity price can be made higher.

[0105] In other examples, the priority may be determined based on other factors (such as the urgency of the demand, the location of the initiator, etc.). For example, a demand for charging and discharging services with a higher urgency may be prioritized over a demand for charging and discharging services with a relatively lower urgency, or a demand for charging and discharging services from an initiator that is closer may be prioritized over a demand for charging and discharging services from an initiator that is farther away, etc.

[0106] In this way, the received multiple charging and discharging service demands can be prioritized.

[0107] Similarly, the responding mobile energy robot that performs the response can be determined based on various criteria. For example, an appropriate mobile energy robot can be selected as the responding mobile energy robot based on the relative position between each mobile energy robot and the demand initiator (for example, the distance between the two). For example, if the demand initiator is a new energy vehicle and the charging and discharging service demand indicates the required amount of power and the vehicle location information, a mobile energy robot that can provide the required amount of power and is close to the new energy vehicle (for example, within a specific distance) can be selected as the responding mobile energy robot.

[0108] For the above-mentioned multiple charging and discharging service demands, one or more responder mobile energy robots may be determined. That is, one responder mobile energy robot may respond to these charging and discharging service demands, or multiple responder mobile energy robots may respond to these charging and discharging service demands.

[0109] Finally, the energy management scheduling platform can schedule the responder mobile energy robot to complete one or more charging and discharging services based on priority (525).

[0110] In some cases, due to factors such as the limited number and power of mobile energy robots in the system, the remote location of the requester, etc., the responding mobile energy robot may not be able to complete all charging and discharging services. In such cases, based on the priority determined at 515, a response may be selected to a higher-priority charging and discharging service request, thereby completing one or more of the total charging and discharging services. In this way, power distribution and scheduling can be optimized.

[0111] FIG6 illustrates an exemplary decision process 600 for storing and releasing electrical energy during an energy exchange process according to aspects of the present disclosure.

[0112] During the energy exchange process, the energy management and scheduling platform can schedule the mobile energy robot to store (charge) and / or release (discharge) electrical energy based on various criteria.

[0113] For example, in some implementations, the energy management and scheduling platform can enable the mobile energy robot to obtain and store electricity from the power grid and / or microgrid during off-peak hours, and use the stored energy to supply external power to meet charging needs during peak hours. The mobile energy robot's external power supply can include powering the power grid and / or microgrid (for example, through an energy gateway), powering new energy vehicles, and powering external loads.

[0114] In some other implementations, the energy management scheduling platform can enable the mobile energy robot to obtain and store electricity from the power grid and / or microgrid during a first period when electricity prices are low, and use the stored electricity to supply power to the outside in response to charging needs during a second period when electricity prices are higher.

[0115] In some other implementations, the energy management scheduling platform can schedule the mobile energy robot to move to an automatic docking device when the battery level of the mobile energy robot is lower than a preset value, so as to obtain and store electricity from the power grid and / or microgrid; the mobile energy robot can also spontaneously move to an automatic docking device when its battery level is lower than a preset value, so as to obtain and store electricity from the power grid and / or microgrid.

[0116] Specifically, as shown in Figure 6, the energy management and scheduling platform can obtain the power usage of the power grid and / or microgrid. For example, the power grid and / or microgrid can be directly or indirectly connected to and communicate with the energy management and scheduling platform in the mobile energy network system to inform the power usage of the power grid and / or microgrid.

[0117] If the power consumption of the grid and / or microgrid is determined to be low (e.g., below a certain threshold), the grid and / or microgrid can be considered to be in a power consumption valley. At this time, the power load of the grid and / or microgrid is low, and the energy management and scheduling platform can dispatch mobile energy robots to obtain and store power from the grid and / or microgrid.

[0118] If the power consumption of the grid and / or microgrid is determined to be high (for example, above a certain threshold), the grid and / or microgrid can be considered to be at peak power consumption. At this time, the power load of the grid and / or microgrid is high, and the energy management and scheduling platform can dispatch mobile energy robots to use stored energy to supply power (i.e., release energy) to address the power supply shortage problem during peak power consumption.

[0119] In some implementations, fixed off-peak and peak periods can be determined based on the daily power load of the power grid and / or microgrid. During off-peak periods, power consumption is often lower, while during peak periods, power consumption is often higher. Thus, the mobile energy robot can obtain and store power from the power grid during off-peak periods, and use the stored power to supply power during peak periods.

[0120] In practice, electricity prices may vary at different times, for example, electricity prices may be higher at one time of the day and lower at another time of the day.

[0121] Therefore, as shown in FIG6 , the energy management and scheduling platform can also make decisions related to the storage and release of electric energy based on the electricity price.

[0122] If it is determined that the electricity price is low (for example, below a certain threshold) during the current time period, the energy management scheduling platform schedules the mobile energy robot to obtain electricity from the power grid for storage.

[0123] If it is determined that the electricity price is high (for example, above a certain threshold) during the current time period, the energy management and scheduling platform can schedule the mobile energy robot to use the stored electricity to supply power to the outside world (i.e., release electricity). In this way, the price difference between different time periods can be used to make decisions on energy storage and release, storing energy when the electricity price is low and releasing it when the electricity price is high, thereby saving electricity costs and optimizing energy utilization.

[0124] It should be noted that although FIG6 shows that the decision of electric energy storage and electric energy release is made based on the power consumption and the electricity price, the present application is not limited thereto. In actual implementation, the decision of electric energy storage and electric energy release can also be made based on other factors.

[0125] FIG7 shows a schematic diagram 700 of a virtual power plant system according to aspects of the present application.

[0126] A virtual power plant (VPP) is an energy integration solution based on digital technology and intelligent energy management systems. It integrates distributed energy resources, energy storage equipment, and flexible loads to achieve centralized control and coordinated energy management. The goal of a VPP is to optimize energy supply, improve energy efficiency, and provide flexibility and reliability to the power system.

[0127] In practice, each grid and / or microgrid shown in Figure 7 can correspond to a campus, manage the power supply within that campus, and multiple campuses can form a virtual power plant. By using a virtual power plant to dispatch energy and respond to demand across multiple grids and / or microgrids, the energy management efficiency and reliability of the entire system can be further improved.

[0128] As shown in the figure, the virtual power plant system mainly includes a virtual power plant management platform and multiple (N) power grids and / or microgrids, where each power grid and / or microgrid adopts a corresponding mobile energy network system.

[0129] The virtual power plant management platform is configured to manage the distribution and flow of electric energy in various mobile energy network systems.

[0130] For example, the virtual power plant system can communicate with the power grid and / or microgrid to understand the generation and consumption of electricity in each power grid and / or microgrid, so as to achieve a balance and optimization of the supply and demand of electricity among the various power grids and / or microgrids. For example, the virtual power plant management platform can receive signals from the management platform of the power grid and / or microgrid (such as the power management platform in Figure 8 below) to obtain the power status and demand of the power grid and / or microgrid.

[0131] By understanding the power status and demand of each grid and / or microgrid, the virtual power plant system can further integrate power resources across different parks and improve resource utilization efficiency. Through real-time data collection, predictive analysis, and automated control from each grid and / or microgrid via the power management platform, the virtual power plant system can quickly respond to changes in power market demand and power systems on a larger scale, achieving efficient energy allocation and optimization.

[0132] FIG8 illustrates a method 800 for utilizing a virtual power plant system for demand-side response according to aspects of the present disclosure.

[0133] As shown in the figure, the power management platform of the power grid can send a demand response invitation or a real-time demand response instruction to the virtual power plant system (for example, the virtual power plant management platform of the virtual power plant system).

[0134] When the power management platform sends a demand response invitation (805), the virtual power plant system (e.g., the virtual power plant management platform of the virtual power plant system) can formulate an initial response plan based on the received demand response invitation and provide it to the power management platform (815).

[0135] In this application, the demand response invitation may include but is not limited to information such as the invitation response scope, demand quantity, time period, and invitation deadline.

[0136] Specifically, after receiving a demand response invitation, the virtual power plant system can develop an initial response plan based on the content of the invitation. For example, the virtual power plant system can develop an optimal response plan (e.g., a response plan with the maximum response volume) that meets the requirements specified in the invitation and is within its capabilities, and provide it to the power management platform as the initial response plan. In some embodiments, the accompanying response price can also be provided to the power management platform.

[0137] Subsequently, the virtual power plant system may formulate an actual response plan based on the feedback of the power management platform on the initial response plan (820).

[0138] For example, after receiving initial response plans from various virtual power plant systems, the power management platform can determine the virtual power plant systems that will participate in demand response and their associated promised response volumes. The power management platform can then provide the promised response volumes as feedback to the virtual power plant systems, which can then formulate actual response plans based on the feedback.

[0139] After formulating the actual response plan, the virtual power plant system can control the flow of power of one or more mobile energy network systems based on the actual response plan (825).

[0140] For example, during the peak-shaving demand response period, the virtual power plant system can enable one or more mobile energy robots in the mobile energy network system to discharge to the power grid through the energy gateway. During the valley-filling demand response period, the virtual power plant system can enable one or more mobile energy robots in the mobile energy network system to obtain electricity from the power grid through the energy gateway to meet the power grid load requirements in the actual response plan (for example, so that the actual power grid load does not exceed the load upper limit, is not lower than the load lower limit, etc.).

[0141] On the other hand, when the power management platform sends a real-time demand response instruction (810), the virtual power plant system can control the power flow direction of one or more mobile energy network systems in real time based on the instruction (830). In a specific implementation, the power management platform can connect to and control the virtual power plant management platform of the virtual power plant system to control the power flow direction of one or more mobile energy network systems in the virtual power plant system in real time. For example, the power management platform can decide whether to discharge to the power grid or obtain power from the power grid based on the real-time operation of the power grid. The power management platform can issue real-time instructions to the virtual power plant management system to control the power flow direction of the mobile energy network system in real time. In this way, power scheduling can be carried out according to the real-time operation of the power grid to achieve efficient configuration and optimization of power.

[0142] In a specific implementation, the power management platform can issue different types of instructions to the virtual power plant system at different times. For example, the power management platform can issue a demand response invitation to the virtual power plant system at a first time, and issue a real-time demand response instruction to the virtual power plant system at a second time different from the first time. The power management platform can decide the type of instruction to be issued to the virtual power plant system based on actual conditions. For example, when the real-time requirements for the power system are high, the power management platform can issue a real-time demand response instruction to the virtual power plant system to control the flow of electric energy in real time. When the stability requirements for the power system are high, but the real-time requirements are not so high, the power management platform can issue a demand response invitation to the virtual power plant system.

[0143] The technical solution of the present application realizes the intelligent scheduling and optimization of electric energy by obtaining the electric energy generation, consumption and storage conditions of each device / module in the mobile energy network system. The mobile energy network system can flexibly meet the electricity demand of various users in different areas at different times, realize the intelligent scheduling of electric energy and optimize the circulation of electric energy, and effectively improve the flexibility and sustainability of energy exchange. At the same time, the two-way flow mechanism of electric energy in the mobile energy network system enables new energy vehicles to obtain electric energy from the power grid and feed electric energy back to the power grid, thereby improving the flexibility and sustainability of energy exchange. In addition, the automatic docking and separation of the mobile energy robot and the automatic docking device can effectively improve the efficiency of energy exchange and expand the area of ​​charging and storage services, thereby meeting the electric energy charging and storage needs in a wider range. The virtual power plant system uses the mobile energy network system to integrate and manage the distribution and flow of electric energy, and effectively allocates and schedules electric energy according to actual electricity demand and energy supply and demand conditions to achieve stability and reliability of power supply.

[0144] The detailed description described above in conjunction with the accompanying drawings describes examples and does not represent all examples that can be implemented or fall within the scope of the claims. The terms "example" and "exemplary" when used in this specification mean "serving as an example, instance, or illustration" and do not mean "superior or superior to other examples."

[0145] Reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, use of these phrases may refer to more than just one embodiment. Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0146] The foregoing description is provided to enable any person skilled in the art to practice the various aspects described herein. Various modifications to these aspects will be readily apparent to those skilled in the art, and the universal principles defined herein may be applied to other aspects. Therefore, the claims are not intended to be limited to the aspects shown herein, but rather should be granted the full scope consistent with the claims in language, wherein reference to the singular form of an element is not intended to mean "one and only one", but "one or more", unless otherwise stated. Unless otherwise stated, the term "some" refers to one or more. The elements of the various aspects described throughout this application are expressly incorporated herein by reference for all structural and functional equivalents currently or hereafter known to those of ordinary skill in the art, and are intended to be covered by the claims.

[0147] It should also be noted that these embodiments may be described as processes depicted as flow charts, flow diagrams, structure diagrams, or block diagrams. Although a flow chart may describe the operations as sequential processes, many of these operations can be performed in parallel or concurrently. In addition, the order of these operations can be rearranged.

[0148] Although various embodiments have been illustrated and described, it should be understood that the embodiments are not limited to the precise configuration and components described above. Various modifications, substitutions and improvements obvious to those skilled in the art may be made in the arrangement, operation and details of the devices disclosed herein without departing from the scope of the claims.

Claims

1. A mobile energy network system, comprising: A mobile energy robot, the mobile energy robot is configured to store electrical energy and perform bidirectional charging and discharging, and the mobile energy robot is capable of moving within a preset range; An energy gateway configured to connect to a power grid and / or a microgrid; An automatic docking device, wherein the automatic docking device is configured to connect the energy gateway and the mobile energy robot, wherein a first end of the automatic docking device is connected to the energy gateway, and a second end of the automatic docking device is capable of automatically docking with and automatically detaching from the mobile energy robot, wherein when the mobile energy robot moves to a preset position near the automatic docking device, the automatic docking device automatically docks with the mobile energy robot to achieve a two-way flow of electric energy between the mobile energy robot and the power grid and / or microgrid; as well as An energy management and scheduling platform is configured to manage and schedule the flow of electric energy among the mobile energy robot, the energy gateway and the automatic docking device.

2. The mobile energy network system according to claim 1, characterized in that: The mobile energy robot includes a socket, and the second end of the automatic docking device is an automatic robotic arm, which can automatically dock with the socket of the mobile energy robot to connect the mobile energy robot and the energy gateway, thereby realizing energy exchange between the mobile energy robot and the power grid and / or microgrid.

3. The mobile energy network system according to claim 1, characterized in that: The mobile energy robot includes a charging gun, which can be docked with and separated from the charging socket of the new energy vehicle to achieve energy exchange between the mobile energy robot and the new energy vehicle.

4. The mobile energy network system according to claim 1 further comprises an operation-side application, which is configured to provide management and monitoring for the operation of each mobile energy robot in the mobile energy network system based on the energy management and scheduling platform.

5. The mobile energy network system according to claim 1 further comprises a user-side application, wherein the user-side application is configured to provide charging and discharging services for users based on the energy management and scheduling platform.

6. An energy exchange method performed by the mobile energy network system according to any one of claims 1 to 5, comprising: The energy management and scheduling platform receives charging and discharging service requirements; The energy management and scheduling platform obtains status information of all mobile energy robots in the mobile energy network system; The energy management and scheduling platform formulates an optimal response strategy according to the charging and discharging service requirements and the status information of all mobile energy robots, and determines the responding mobile energy robot to execute the response; and The energy management scheduling platform schedules the responder mobile energy robot to execute the optimal response strategy to complete the charging and discharging service.

7. The energy exchange method according to claim 6, characterized in that: The charging and discharging service requirements include power parameters, time period parameters, and response area parameters; and / or; The status information includes power information and location information of the corresponding mobile energy robot.

8. The energy exchange method according to claim 6, characterized in that: The charging and discharging service demand includes the charging and discharging service demand from the new energy vehicle, wherein the energy management scheduling platform dispatches the responder mobile energy robot to complete the charging and discharging service further includes: The energy management scheduling platform schedules the responder mobile energy robot to move to the new Energy vehicles are located near the site to complete charging and discharging services for the new energy vehicles.

9. The energy exchange method according to claim 8, characterized in that: The energy management scheduling platform scheduling the responder mobile energy robot to move to the vicinity of the new energy vehicle further includes: The energy management and scheduling platform generates a planned path based on the regional map information, the vehicle location information of the new energy vehicle, and the location information of the responder mobile energy robot, and sends the planned path to the responder mobile energy robot, and the responder mobile energy robot moves to the vicinity of the new energy vehicle according to the planned path; or The energy management and scheduling platform sends the vehicle location information of the new energy vehicle to the responder mobile energy robot. The responder mobile energy robot generates a planned path based on the regional map information, the vehicle location information of the new energy vehicle and the location information of the responder mobile energy robot, and moves to the vicinity of the new energy vehicle according to the planned path.

10. The energy exchange method according to claim 6, characterized in that: The charging and discharging service demand includes the charging and discharging service demand from the power grid and / or microgrid, wherein the energy management scheduling platform schedules the responder mobile energy robot to complete the charging and discharging service further includes: The energy management scheduling platform schedules the responder mobile energy robot to move to a preset position near the automatic docking device so that the automatic docking device automatically docks with the responder mobile energy robot to complete the charging and discharging services for the power grid and / or microgrid.

11. The energy exchange method according to claim 6, characterized in that: The charging and discharging service demand includes an emergency charging and discharging service demand, wherein the optimal response strategy is further formulated based on the initiator of the emergency charging and discharging service demand and the urgency of the demand, wherein the energy management scheduling platform schedules the responder mobile energy robot to complete the charging and discharging service further includes: The energy management scheduling platform schedules the responder mobile energy robot to move to the The location associated with the initiator is used to complete the emergency charging and discharging service for the initiator.

12. The energy exchange method according to claim 6, characterized in that: The charging and discharging service demand includes a plurality of charging and discharging service demands from different initiators, and the method further includes: The energy management and scheduling platform formulates an optimal response strategy based on multiple charging and discharging service requirements and status information of all mobile energy robots; Prioritize response needs and responder mobile energy robots to perform the response; and The energy management scheduling platform schedules the responder mobile energy robot to complete one or more charging and discharging services based on the priority.

13. The energy exchange method according to claim 6, further comprising: The mobile energy robot in the mobile energy network system obtains and stores electric energy from the power grid and / or microgrid during the off-peak period of electricity consumption; as well as The mobile energy robot utilizes the stored electric energy to supply power to the outside during peak hours of electricity consumption to respond to charging needs.

14. The energy exchange method according to claim 6, further comprising: The mobile energy robot in the mobile energy network system obtains and stores electric energy from the power grid and / or microgrid during a first period when the electricity price is low; as well as The mobile energy robot uses the stored electric energy to supply power to the outside in response to charging demand during the second period when the electricity price is relatively high.

15. A virtual power plant system, comprising: A plurality of mobile energy network systems as claimed in any one of claims 1 to 5; as well as A virtual power plant management platform is configured to manage the distribution and flow of electric energy in various mobile energy network systems.

16. A method for performing demand-side response using the virtual power plant system according to claim 15, comprising: Receiving a demand response invitation or a real-time demand response instruction from a power management platform of the power grid; When receiving a demand response invitation, do the following: Formulate an initial response plan based on the demand response invitation and provide it to the power management platform; formulating an actual response plan based on feedback from the power management platform on the initial response plan; as well as controlling the flow of power to one or more mobile energy network systems based on the actual response plan; When receiving a real-time demand response instruction, perform the following operations: Control the flow of electric energy of the one or more mobile energy network systems in real time.

17. The method according to claim 16, wherein: The demand response invitation includes a response scope, demand quantity, time period, and invitation deadline.

18. The method according to claim 16, wherein: Controlling the power flow of one or more mobile energy network systems based on the actual response plan further includes: During the peak demand response period, the mobile energy robots in the one or more mobile energy network systems discharge electricity to the power grid through the energy gateway; and During the valley filling demand response period, the mobile energy robots in the one or more mobile energy network systems obtain electrical energy from the power grid through the energy gateway.

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