CN117400774A - Mobile energy network system - Google Patents

Mobile energy network system Download PDF

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Publication number
CN117400774A
CN117400774A CN202311590090.XA CN202311590090A CN117400774A CN 117400774 A CN117400774 A CN 117400774A CN 202311590090 A CN202311590090 A CN 202311590090A CN 117400774 A CN117400774 A CN 117400774A
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CN
China
Prior art keywords
energy
robot
mobile
mobile energy
charge
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311590090.XA
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Chinese (zh)
Inventor
唐锐
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Chancong Robot Technology Co ltd
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Shanghai Chancong Robot Technology Co ltd
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Publication date
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Publication of CN117400774A publication Critical patent/CN117400774A/en
Pending legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/63—Monitoring or controlling charging stations in response to network capacity
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/30—Constructional details of charging stations
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L55/00—Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The application provides a mobile energy network system, which comprises: a mobile power robot configured to store electric power and perform bidirectional charge and discharge and to be movable within a preset range; an energy gateway configured to communicate with a power grid and/or a micro-grid; an automatic docking device configured to communicate the energy gateway and the mobile energy robot, a first end of the automatic docking device being connected to the energy gateway and a second end being capable of automatic docking and automatic undocking with the mobile energy robot, wherein when the mobile energy robot moves to a preset position in proximity of the automatic docking device, the two are automatically docked to enable bi-directional flow of electrical energy between the mobile energy robot and the electrical grid and/or the micro-grid; and an energy management scheduling platform configured to manage and schedule the flow of electrical energy in the mobile energy robot, the energy gateway, and the automated docking device. An associated energy exchange method, virtual power plant system, and demand side response method are also presented.

Description

Mobile energy network system
Technical Field
The application relates to the field of electric energy charging and storage generally, relates to an electric energy charging and storage integrated system, and particularly relates to a mobile energy network system.
Background
The new energy charging market can be divided into two major categories, namely fixed charging and mobile charging. The fixed charging scheme has the problems of high infrastructure construction difficulty, poor user experience, low operation efficiency and the like. Compared with a fixed charging scheme, the mobile charging scheme reduces the construction difficulty of the infrastructure, improves the user experience and improves the operation efficiency. However, when the amount of the new energy terminals (e.g., new energy automobiles) stored exceeds a certain amount, the charging demands are intensively released within a specific period of time (e.g., at night), and the scheduling and management difficulties are increased, which puts higher demands on the power grid and brings great challenges to the stability and service capability of the power grid system.
Meanwhile, more and more charging devices have energy storage functions at the same time, so that electric energy can be obtained from a power grid for storage, and electric energy can be released (for example, supplied to devices needing to be charged or fed back to the power grid).
However, there are challenges and improvements in the interaction between the vehicle terminals and the power grid, in the charge-discharge decisions, in the control of the influence of the charge-discharge of the vehicle terminals on the power grid, in the intelligent scheduling and optimization of the electric energy, and the like. There is no integrated system that can effectively solve these problems.
In view of this, it is desirable to provide an integrated electrical energy charging and storage system, in particular an integrated mobile energy network system.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate 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.
The application provides a mobile energy network system, comprising: a mobile energy robot configured to store electric energy and perform bidirectional charge and discharge, and capable of moving within a preset range; an energy gateway configured to communicate with a power grid and/or a micro-grid; an automatic docking device configured to communicate the energy gateway and the mobile energy robot, a first end of the automatic docking device being connected to the energy gateway, a second end of the automatic docking device being capable of being automatically docked and automatically undocked with the mobile energy robot, wherein the automatic docking device automatically docks with the mobile energy robot when the mobile energy robot moves to a preset position near the automatic docking device to enable bi-directional flow of electrical energy between the mobile energy robot and the electrical grid and/or micro-grid; and an energy management scheduling platform configured to: the flow of electrical energy in the mobile energy robot, the energy gateway and the automatic docking device is managed and scheduled.
In some embodiments, the mobile energy robot includes a socket, the second end of the automatic docking device is an automatic mechanical arm, and the automatic mechanical arm can be automatically docked with the socket of the mobile energy robot to communicate the mobile energy robot with the energy gateway, so as to realize energy exchange between the mobile energy robot and the power grid and/or the micro-grid.
In some embodiments, the mobile energy robot includes a charging gun that can be docked and undocked with a charging socket of a new energy vehicle to enable energy exchange between the mobile energy robot and the new energy vehicle.
In some embodiments, the mobile energy network system further comprises an operator application configured to: and providing management and monitoring for the operation of each mobile energy robot in the mobile energy network system based on the energy management scheduling platform.
In some embodiments, the mobile energy network system further comprises a client application configured to: and providing charge and discharge service for users based on the energy management scheduling platform.
The application also provides an energy exchange method performed by the mobile energy network system, which comprises the following steps: the energy management scheduling platform receives charging and discharging service requirements; the energy management scheduling platform acquires state information of all mobile energy robots in the mobile energy network system; the energy management scheduling platform formulates an optimal response strategy according to the charge and discharge service requirements and the state information of all the mobile energy robots, and determines the mobile energy robots of the responders to respond; and the energy management scheduling platform schedules the responding mobile energy robot to execute the optimal response strategy so as to complete the charge and discharge service.
In some embodiments, the charge-discharge service requirement includes a power parameter, a time period parameter, and a response area parameter; and/or the state information comprises electric quantity information and position information of the corresponding mobile energy robot.
In some embodiments, the charge-discharge service requirements include charge-discharge service requirements from a new energy vehicle, wherein the energy management scheduling platform scheduling the responder mobile energy robot to complete charge-discharge service further comprises: the energy management scheduling platform schedules the mobile energy robot of the response party to move to the vicinity of the new energy vehicle so as to complete the charge and discharge service of the new energy vehicle.
In some embodiments, the energy management scheduling platform scheduling the responder mobile energy robot to move into proximity with the new energy vehicle further comprises: the energy management and dispatching platform generates a planned path based on the regional map information, the vehicle position information of the new energy vehicle and the position information of the responding mobile energy robot and sends the planned path to the responding mobile energy robot, and the responding mobile energy robot moves to the vicinity of the new energy vehicle according to the planned path; or the energy management and dispatching platform sends the vehicle position information of the new energy vehicle to the response side mobile energy robot, and the response side mobile energy robot generates a planning path according to the regional map information, the vehicle position information of the new energy vehicle and the position information of the response side mobile energy robot and moves to the vicinity of the new energy vehicle according to the planning path.
In some embodiments, the charge-discharge service requirements include charge-discharge service requirements from the grid and/or micro-grid, wherein the energy management scheduling platform scheduling the responder mobile energy robot to complete charge-discharge service further comprises: the energy management scheduling platform schedules the responding mobile energy robot to move to a preset position near the automatic docking device, so that the automatic docking device and the responding mobile energy robot are automatically docked to complete charging and discharging services of the power grid and/or the micro-power grid.
In some embodiments, the charge-discharge service requirements include emergency charge-discharge service requirements, wherein the optimal response policy is formulated further based on an initiator of the emergency charge-discharge service requirements and a degree of demand urgency, wherein the energy management scheduling platform schedules the responder mobile energy robot to complete charge-discharge service further comprises: the energy management scheduling platform schedules the responder mobile energy robot to move to a location associated with the initiator to complete emergency charge and discharge service to the initiator.
In some embodiments, the charge-discharge service requirements include a plurality of charge-discharge service requirements from different initiators, and the energy exchange method further comprises: the energy management scheduling platform formulates an optimal response strategy based on state information of a plurality of charge and discharge service demands and all mobile energy robots; the energy management scheduling platform determines the priority of response demands and a responding party mobile energy robot executing the response; and the energy management scheduling platform schedules the responding mobile energy robot to complete one or more charge and discharge services based on the priority.
In some embodiments, the energy exchange method further comprises: the mobile energy robot in the mobile energy network system acquires and stores electric energy from the power grid and/or the micro-power grid in the electricity consumption valley period; and the mobile energy robot utilizes the stored electric energy to externally supply power to respond to the charging requirement during the power utilization peak period.
In some embodiments, the energy exchange method further comprises: the mobile energy robot in the mobile energy network system acquires and stores electric energy from the power grid and/or the micro-power grid in a first period of low electricity price; and the mobile energy robot is powered externally by the stored electric energy in response to the charging requirement in a second period of higher electricity price.
The application also provides a virtual power plant system comprising: a plurality of mobile energy network systems; and a virtual power plant management platform configured to: the distribution and flow of electrical energy in each mobile energy network system is managed.
The application also provides a method for performing demand side response by using the virtual power plant system, which comprises the following steps: receiving a demand response offer or a real-time demand response instruction from a power management platform of the power grid; the following is performed in the case of receiving a demand response offer: formulating an initial response plan based on the demand response offer and providing to the power management platform; formulating an actual response plan based on feedback from the power management platform to the initial response plan; and controlling the flow of electrical energy to one or more mobile energy network systems based on the actual response plan; the following operations are performed in the case of receiving a real-time demand response instruction: and controlling the electric energy flow direction of the one or more mobile energy network systems in real time.
In some embodiments, the demand response offer includes a response range, a demand, a period, an offer expiration time.
In some embodiments, controlling the flow of electrical energy to one or more mobile energy network systems based on the actual response plan further comprises: in the peak clipping demand response period, discharging the mobile energy robots in the one or more mobile energy network systems to a power grid through an energy gateway; and during the valley fill demand response period, causing the mobile energy robots in the one or more mobile energy network systems to obtain electrical energy from the electrical grid through the energy gateway.
The technical scheme of the application provides an overall solution of the mobile energy network system. The mobile energy network system can flexibly meet the power consumption requirements of various users in different areas in different time periods, intelligent scheduling of electric energy and circulation optimization of electric energy are realized, and flexibility and sustainability of energy exchange are effectively improved. By obtaining the electricity generation, consumption and storage conditions of all devices/modules in the mobile energy network system, intelligent scheduling and optimization of electricity can be realized, and electricity supply and demand balance can be realized. Meanwhile, the mechanism of electric energy bidirectional flow enables the new energy vehicle to acquire electric energy from the power grid and also to feed back the electric energy to the power grid, so that the new energy vehicle becomes a powerful supplement of the power grid, and the flexibility and the sustainability of energy exchange are improved. In addition, the automatic butt joint and separation of the mobile energy robot and the automatic butt joint device can effectively improve the energy exchange efficiency, and enlarge the area of charge and discharge service, so that the charge and discharge service requirements in a larger range can be met, and the user experience is improved.
Drawings
The features, nature, and advantages of the present application will become more apparent from the detailed description set forth below when taken in conjunction with the drawings. In the drawings, like reference numerals designate corresponding parts throughout the different views. It is noted that the drawings described are only schematic and are non-limiting. In the drawings, the size of some of the elements may be exaggerated and not drawn on scale for illustrative purposes.
Fig. 1 illustrates an architecture diagram of a mobile energy network system in accordance with aspects of the present application.
Fig. 2 illustrates a block diagram of a mobile energy network system in accordance with aspects of the subject application.
Fig. 3 illustrates a method of energy exchange by a mobile energy network system in accordance with aspects of the present application.
Fig. 4 illustrates an energy exchange process for a single charge-discharge service demand in accordance with aspects of the present application.
Fig. 5 illustrates an energy exchange process for multiple charge-discharge service requirements in accordance with aspects of the present application.
FIG. 6 illustrates an exemplary decision flow for electrical energy storage and release during energy exchange in accordance with aspects of the present application.
FIG. 7 illustrates a schematic diagram of a virtual power plant system in accordance with aspects of the present application.
FIG. 8 illustrates a method of demand side response with a virtual power plant system in accordance with aspects of the subject application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the described exemplary embodiments. It will be apparent, however, to one skilled in the art, that the described embodiments may be practiced without some or all of these specific details. In other exemplary embodiments, well-known structures have not been described in detail to avoid unnecessarily obscuring the concepts of the present application. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application. Meanwhile, the various aspects described in the embodiments may be arbitrarily combined without conflict.
Fig. 1 illustrates an architecture diagram 100 of a mobile energy network system in accordance with aspects of the present application.
As shown in the figure, the mobile energy network system of the present application mainly relates to a plurality of devices/modules such as an energy gateway, an automatic docking device, a mobile energy robot, an energy management and scheduling platform, a user application program, an operation application program, and the like. In addition, the grid and/or micro-grid and the consumer vehicle are shown in fig. 1 with dashed boxes. The electric network and/or the micro-grid and the user vehicle are external to the mobile energy network system and are capable of exchanging energy with the mobile energy network system. As shown, electrical energy may flow bi-directionally between the mobile energy network system and the electrical grid and/or micro-grid, and the user vehicle may charge and discharge bi-directionally with the mobile energy network system.
Specifically, the mobile energy robot is used to store electric energy and perform bidirectional charge and discharge, and the mobile energy robot is capable of moving within a preset range.
As shown, the mobile energy robot is capable of charging a user vehicle (e.g., a new energy vehicle). Specifically, the mobile energy robot may be moved into proximity with and docked with the user vehicle, thereby causing the user vehicle to draw electrical energy from the mobile energy robot.
In some implementations, if the user vehicle has a discharge function, the user vehicle may also discharge the mobile energy robot in reverse, i.e., the mobile energy robot may recover the electrical energy released by the user vehicle.
The energy gateway can be communicated with a power grid and/or a micro-power grid outside the mobile energy network system, and the automatic docking device is used for connecting the energy gateway and the mobile energy robot. As shown, one end of the automatic docking device is connected with the energy gateway, and the other end of the automatic docking device can be automatically docked and separated 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. Thereby, a bi-directional path is formed between the mobile energy robot and the grid and/or the micro grid via the automatic docking device and the energy gateway to enable bi-directional flow of electrical energy between the mobile energy robot and the grid and/or the micro grid.
It should be noted that although the present application focuses on describing the source of electrical energy as being (i.e., obtaining electrical energy from) an electrical grid and/or a micro-grid, the present application is not limited thereto. In practical implementations, the electrical energy may also come from other sources, such as photovoltaic systems, wind energy systems, and the like.
In implementations where the electrical energy is from a photovoltaic system, the energy gateway may be connected to the photovoltaic system, and the electrical energy flows unidirectionally between (from the photovoltaic system to) the energy gateway and the photovoltaic system.
The energy management scheduling platform is mainly responsible for management and scheduling. In particular, the energy management scheduling platform is capable of managing and scheduling the flow of electrical energy in mobile energy robots, energy gateways, and automated docking devices.
In addition, the energy management scheduling platform is also able to monitor various data within the mobile energy network system (such as data related to generation, consumption, and storage of electrical energy, operational data of various devices/modules, etc.) to facilitate subsequent analysis, statistics, and decisions using such data.
The user side application program can provide charge and discharge service for users based on the energy management scheduling platform. Through the background data of the energy management scheduling platform, the user side application program can provide convenient and reliable charge and discharge experience for users. In this application, the client application may take many different forms, such as APP in a user device (smart phone, in-vehicle device, etc.), applet, etc. For example, a user may find nearby available mobile energy robots through a client application and initiate a request to provide charge and discharge services for his own vehicle.
In addition, the operator application may provide operation and maintenance services based on the energy management scheduling platform. Specifically, the operation end application program can provide management and monitoring for the operation of each mobile energy robot in the mobile energy network system based on the energy management scheduling platform. The operation end application program can provide comprehensive management and monitoring functions for an operation team based on the data provided by the energy management scheduling platform, so that the position, the electric quantity state, the running condition and the like of the mobile energy robot in the system are known, faults are found and solved in time, and the charging and discharging service requirements are better met.
It should be noted that the architecture of the mobile energy network system in fig. 1 is merely exemplary and not limiting. In a practical implementation, the mobile energy network system may have different architectures. Those skilled in the art may employ more devices/modules, fewer devices/modules, different devices/modules than the architecture of fig. 1, as desired. For example, in some implementations, the mobile energy network system may also include a stationary docking device (not shown). Unlike an automatic docking device, the fixed docking device is not movable and is manually docked and separated with the mobile energy robot and/or the new energy vehicle to enable bi-directional flow of electrical energy between the mobile energy robot and/or the new energy vehicle and the electrical grid and/or the micro-grid. Furthermore, while an embodiment in which the energy gateway and the automatic docking device are separately arranged is shown in fig. 1, in a practical implementation, the energy gateway and the automatic docking device may be integrated into a single device. The single device may perform the functions of both the energy gateway and the auto-dock. In addition, one energy gateway may be matched with only one automatic docking device, or may be matched with a plurality of automatic docking devices, i.e. a plurality of automatic docking devices may be connected to the same energy gateway, or a plurality of automatic docking devices may be integrated on one energy gateway.
Fig. 2 illustrates a block diagram of a mobile energy network system 200 in accordance with aspects of the subject application.
Referring to fig. 2, the mobile energy network system 200 may include a mobile energy robot 205, an energy gateway 210, an automated docking device 215, an energy management scheduling platform 220, and optionally an operator side application 225 and a user side application 230. One or more of these devices/modules may be connected or in communication with each other directly or indirectly over one or more buses 235.
The mobile power robot 205 is configured to store electric power and perform bidirectional charge and discharge, and the mobile power robot 205 is capable of moving within a preset range. For example, the mobile energy robot may move within a preset charging area to perform bidirectional charging and discharging within the area. In a specific implementation, a person skilled in the art may set a preset range of the mobile energy robot according to the actual situation. For example, if a certain mobile energy robot is applied to a parking lot of a mall, a preset range of the mobile energy robot may be set to the entire parking lot or a certain area in the parking lot. The mobile energy robot can move within the range to perform bidirectional charging and discharging.
The energy gateway 210 is configured to communicate with the power grid and/or the micro-grid. In particular, the energy gateway may connect the electrical grid and/or the micro-grid with the automatic docking device to enable bi-directional flow of electrical energy between the electrical grid and/or the micro-grid and the automatic docking device.
The automated docking device 215 is configured to communicate the energy gateway 210 and the mobile energy robot 205. Specifically, the first end of the automatic docking device 215 is connected to the energy gateway 210 and the second end is capable of automatic docking and automatic undocking with the mobile energy robot 205.
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 enable bi-directional flow of electrical energy between the mobile energy robot 205 and the electrical grid and/or micro-grid.
The preset position may be a preset position around the automatic docking device 215. In some examples, the preset position may be a position within a threshold distance from the automatic docking device 215. In other examples, the preset position may be a position within a particular range around the automatic docking device 215. When the mobile energy robot 205 moves to the preset position, the automatic docking device 215 can reach and automatically dock with the mobile energy robot 205. In some embodiments, communication signals may be transmitted and received between the mobile energy robot 205 and the robotic docking device 215 within a predetermined range.
To enable better docking, the automatic docking device 215 may have a moving part (not shown in the figures), and a docking module (such as a charging interface) of the automatic docking device 215 may be provided to the moving part to move together with the movement of the moving part, thereby touching and automatically docking with the mobile power robot 205.
In a preferred implementation, the moving component may move independently of other portions of the robotic docking device 215. Thus, the automated docking device 215 need not move the automated docking device 215 as a whole into proximity of the mobile energy robot 205 (e.g., within a threshold distance) when docking with the mobile energy robot 205, but rather need only move moving components of the automated docking device 215 (along with a docking module disposed thereon) into proximity of the mobile energy robot for automated docking. In this way, the flexibility of the docking is improved.
The mobile energy robot 205 may interface with other devices (e.g., an automated docking device, a new energy vehicle for a user) in various ways.
In one implementation, the mobile energy robot 205 may be provided with a socket and the second end of the robotic docking device 215 is a robotic arm. In such an implementation, when the mobile energy robot 205 moves to a preset position near the robotic docking device 215, the robotic arm of the robotic docking device 215 is able to move and automatically dock with the socket of the mobile energy robot 205 to communicate the mobile energy robot 215 and the energy gateway 210 to enable energy exchange between the mobile energy robot 205 and the power grid and/or micro-grid.
In another implementation, the mobile energy robot 205 may be provided with a charging gun that can interface with and disengage from a charging socket of a new energy vehicle to enable energy exchange between the mobile energy robot 205 and the new energy vehicle. In such an implementation, when the mobile energy robot 205 moves near a new energy vehicle, a user of the new energy vehicle may manually pull out a charging gun of the mobile energy robot 205 and insert a charging socket of the new energy vehicle for charging and discharging services.
In yet another implementation, the mobile energy robot 205 may be provided with a charging gun and an electrically powered control arm configured to automatically interface and automatically disconnect the charging gun from a charging socket of a new energy vehicle. In such an implementation, when the mobile energy robot 205 moves into proximity with a new energy vehicle, the electric control arm may automatically insert the charging gun into the charging socket of the new energy vehicle for charging and discharging services without user intervention.
The energy management scheduling platform 220 is configured to: the flow of electrical energy in the mobile energy robot 205, the energy gateway 210, and the automated docking device 215 is managed and scheduled.
For example, when the energy management dispatch platform 220 receives a charge and discharge service demand from a new energy vehicle, the energy management dispatch platform 220 may dispatch the mobile energy robot 205 to move to the vicinity of the new energy vehicle to complete the charge and discharge service to the new energy vehicle. When the energy management scheduling platform 220 receives the charge and discharge service requirements from the power grid and/or the micro-grid, the energy management scheduling platform 220 may cause the automatic docking device 215 and the mobile energy robot 205 to automatically dock by scheduling the mobile energy robot 205 to move to a preset position near the automatic docking device 215 to complete the charge and discharge service to the power grid and/or the micro-grid. 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 the electric energy, so as to realize the efficient utilization and optimization of the electric energy.
It should be noted that while a mobile energy robot is shown in this application as being connected to the grid and/or micro-grid via an automated docking device and an energy gateway, this is by way of example and not limitation. In a practical implementation, the mobile energy robot may also be connected directly to an energy gateway and further connected to the grid and/or the micro-grid through the energy gateway. In addition, although the energy management scheduling platform 220 is illustrated in fig. 2 as managing and scheduling the generation, consumption, and storage of electrical energy in the mobile energy robot 205, the energy gateway 210, and the automated docking device 215, the present application is not limited thereto. In actual implementations, the energy management scheduling platform 220 may also manage and schedule the generation, consumption, and storage of electrical energy among other devices.
The carrier application 225 is configured to: the energy-based management scheduling platform 220 provides management and monitoring for the operation of each mobile energy robot in the mobile energy network system 200.
Specifically, the operator application 225 may provide comprehensive management and monitoring functions for the operator team based on the background data provided by the energy management dispatch platform 220. The operation team can know the position, the electric quantity state, the running condition and the like of each mobile energy robot in the system through the operation end application program 225, and timely discover and solve various faults, so that the operation and maintenance flow is optimized, the accurate scheduling and the efficient running of the mobile energy robots in the system are ensured, and the user experience is improved.
The client application 230 is configured to: the charge and discharge services are provided to the user based on the energy management dispatch platform 220.
Specifically, the client application 230 may provide a convenient and reliable charge and discharge service for the user based on the background data provided by the energy management scheduling platform 220. For example, a user may find a nearby available mobile energy robot through the client application 230 and initiate a charge-discharge request to charge his new energy vehicle or reverse charge the mobile energy robot. The user may also directly initiate the charge and discharge requirements through the client application 230, and the client application 230 sends the requirements to the energy management scheduling platform 220 to complete the demand response. Through the client application 230, the time for the user to search the mobile energy robot and wait can be reduced, and the energy consumption can be reduced, thereby realizing efficient energy utilization and enabling the user to enjoy rapid and convenient charge and discharge services.
The energy in the application comprises electric energy from various energy sources (power grids and/or micro-power grids, photovoltaic systems, wind energy systems and the like), the mobile energy robot provides electric energy charging and storing service through movement, the energy management and dispatching platform manages and dispatches the electric energy, and energy exchange refers to the flowing of the electric energy among various devices/modules to complete integrated electric energy charging and storing service. In this context, the mobile energy network system of the present application may also be referred to as an electric energy charging and storing integrated system, the mobile energy robot may also be referred to as a mobile charging and storing device, and the energy management and scheduling platform may also be referred to as a charging and storing management platform. Furthermore, the automatic docking device in the present application is docked by movement, and thus the automatic docking device may also be referred to herein as a mobile docking device.
Although specific modules/devices of the mobile energy network system 200 are shown in fig. 2, it should be noted that these modules/devices are merely exemplary and not limiting. In different implementations, one or more of these modules/devices may be combined, split, removed, or additional modules/devices may be added.
Fig. 3 illustrates an energy exchange method 300 by a mobile energy network system in accordance with aspects of the present application. The method 300 may be performed by an energy management scheduling platform (e.g., the energy management scheduling platform 220 of fig. 2) in a mobile energy network system (e.g., the mobile energy network system 200 of fig. 2).
As shown in fig. 3, the method 300 begins at step 305. In step 305, the energy management dispatch platform receives a charge and discharge service demand.
In some embodiments, the received charge-discharge service requirements may include, but are not limited to, a power parameter, a time period parameter, a response area parameter.
The charge amount parameter may include various parameters related to the charge amount, such as a current remaining charge amount, a target charge amount, a desired discharge amount, and the like. The period parameter may include a parameter related to a time of the charge-discharge service, such as a time when the charge-discharge is desired to be started, a time when the charge-discharge is desired to be ended, a period of time when the charge-discharge is desired to be performed, and the like. The response zone parameter may include zone/location information related to the response to the charge-discharge service demand (e.g., the zone/location where the charge-discharge service demand initiator is located).
In step 310, the energy management scheduling platform obtains status information of all mobile energy robots in the mobile energy network system.
In some embodiments, the status information may include, but is not limited to, power information (e.g., remaining power, available power, etc.) of the respective mobile energy robot, location information (e.g., absolute location, relative location with the charge and discharge service demand initiator, etc.).
In step 315, the energy management scheduling platform formulates an optimal response strategy according to the charge-discharge service requirements and the state information of all mobile energy robots, and determines the responding mobile energy robots to perform the response.
Based on the charge and discharge service requirements and the status information of all mobile energy robots obtained in steps 305 and 310, the energy management scheduling platform may be aware of the information of the demander (e.g., the power, location, and area information of the charge and discharge service requirement initiator) and the capability information of the mobile energy robots in the system (e.g., the information of the number, location, power that can be provided, etc. of the mobile energy robots in the system). Thus, the energy management scheduling platform can formulate an optimal response strategy. For example, the optimal response policy may indicate a response amount (e.g., an amount of charge and discharge) to the charge and discharge service demand, a response time (time/period of charge and discharge), a response area (area/location where charge and discharge are performed), line information to the response area, and the like. In some implementations, the optimal response policy may also indicate an associated electricity price.
The optimal response policy may be formulated based on various criteria. For example, a response policy having the best route (e.g., shortest path, most unobstructed path traffic, etc.) to the response area may be taken as the best response policy, a response policy capable of providing the most amount of response may be taken as the best response policy, and so on.
In addition, the energy management dispatch platform may also determine a responder mobile energy robot of all mobile energy robots to perform a response (i.e., provide charge-discharge services). The energy management dispatch platform may determine the responder mobile energy robot in various ways. For example, the mobile energy robot having the largest remaining power may be selected as the responder mobile energy robot. As another example, a mobile energy robot having a sufficient amount of power and a distance from the responsive zone less than a certain threshold may be selected as the responsive mobile energy robot.
In step 320, the energy management scheduling platform schedules the responder mobile energy robot to execute the optimal response strategy, and completes the charge and discharge service.
After determining the responder mobile energy robot, the energy management scheduling platform may schedule the responder mobile energy robot (e.g., by sending instructions to the responder mobile energy robot) to execute an optimal response strategy to complete the charge and discharge service. For example, the responder mobile energy robot may go to the response area according to the line information in the optimal response policy to provide the charge and discharge service according to the response amount indicated in the optimal response policy at the response time.
During execution of an energy exchange method (such as method 300) by an energy management scheduling platform, the energy management scheduling platform may receive a single or multiple charge and discharge service requirements, and the charge and discharge service requirements may come from different initiators, for which different process flows may need to be taken. The process flow for single or multiple charge and discharge service requirements from different initiators is discussed below in connection with fig. 4 and 5.
Fig. 4 illustrates an energy exchange process 400 for a single charge-discharge service demand in accordance with aspects of the subject application.
As shown in fig. 4, for a single charge-discharge service demand received by the energy management dispatch platform (405), the source of the charge-discharge service demand (i.e., the demand initiator/requester) may be first determined.
In some cases, a single charge-discharge service demand may come from a new energy vehicle (410). In such cases, the energy management scheduling platform may schedule the responder mobile energy robot to move into proximity with the new energy vehicle (420).
In some embodiments, the energy management scheduling platform scheduling the responder mobile energy robot to move into proximity with the new energy vehicle further comprises: the energy management scheduling platform generates a planned path (415) based on the regional map information, vehicle position information of the new energy vehicle, and position information of the responder mobile energy robot and transmits the planned path to the responder mobile energy robot, and the responder mobile energy robot moves to the vicinity of the new energy vehicle (420) according to the planned path.
In still other embodiments, the energy management scheduling platform scheduling the responder mobile energy robot to move into proximity with the new energy vehicle further comprises: the energy management scheduling platform transmits vehicle location information of the new energy vehicle to the responder mobile energy robot, the responder mobile energy robot generates a planned path (415) according to 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 (420) according to the planned path.
After the responder mobile energy robot moves near the new energy vehicle, the charge and discharge service to the new energy vehicle may be completed (430).
In some cases, the single charge-discharge service demand may come from the grid and/or the micro-grid (435). In such cases, the energy management dispatch platform may dispatch the responder mobile energy robot to move to a preset location near the auto-dock (440), causing the auto-dock to auto-dock with the responder mobile energy robot (445) to complete the charging and discharging service to the grid and/or the micro-grid (450).
The above-described charge and discharge service requirements are all requirements for conventional charge and discharge services and do not involve emergency or temporary charge and discharge, such charge and discharge service requirements are also referred to herein as conventional charge and discharge service requirements.
In contrast to conventional charge and discharge service requirements, in some cases, a single charge and discharge service requirement may include an emergency charge and discharge service requirement (also referred to herein simply as an emergency requirement) (455). The initiator of the emergency charge-discharge service demand may be a new energy vehicle, a power grid and/or a micro-grid, or other external loads (e.g., various devices/equipment in the system that operate from electrical energy other than the new energy vehicle).
The emergency charge and discharge service demand may be an emergency charge and discharge service demand, a temporary charge and discharge service demand, or the like. For example, if the power of the external load is so low that it will not work properly, an emergency charging service need may be issued. In other examples, a temporary charging service demand may be issued provided that the grid and/or micro-grid is scheduled to temporarily increase load over a period of time in the future. The emergency charge and discharge service requirements tend to be high in degree of urgency relative to conventional charge and discharge service requirements.
Thus, for emergency charge and discharge service requirements, the energy management dispatch platform may determine an initiator of the emergency charge and discharge service requirements and a degree of demand urgency (460). In this case, the optimal response policy may be formulated further based on the initiator and the degree of urgency of the demand.
Subsequently, the energy management dispatch platform may dispatch the responder mobile energy robot to move to a location associated with the initiator (465) to complete the emergency charge and discharge service to the initiator (470). For example, if the initiator is an external load that is in need of charging, the mobile energy robot may move to the vicinity of the external load to complete emergency charging service to the external load. If the initiator is a grid and/or micro-grid that is scheduled to temporarily increase the load, the mobile energy robot may move to the automatic docking device to complete emergency charging services to the grid and/or micro-grid through docking with the automatic docking device.
Fig. 5 illustrates an energy exchange process 500 for multiple charge-discharge service requirements in accordance with aspects of the subject application.
As shown in fig. 5, the energy management dispatch platform may receive a plurality of charge and discharge service demands (505).
Next, the energy management scheduling platform may formulate an optimal response strategy based on the plurality of charge-discharge service requirements and status information of all mobile energy robots in the mobile energy network system (510).
The energy management dispatch platform may then determine a priority to respond to the plurality of charge-discharge service demands (515) and a responder mobile energy robot to perform the response (520).
In particular implementations, the priority may be determined based on various criteria.
In some examples, the priority may be determined based on a price of electricity or a price of electricity. In such examples, the charge-discharge service demand may also include a price of electricity parameter to indicate a price of electricity associated with the charge-discharge service demand, such as a price for the demand initiator to purchase electricity.
For example, in embodiments where the priority is determined based on the level of electricity prices, if the associated electricity price of one charge-discharge service demand (e.g., the price of electricity purchased by the demand initiator) is greater than the associated electricity price from another charge-discharge service demand, then the higher electricity price charge-discharge service demand may be prioritized higher.
In the embodiment in which the priority is determined based on the power rate and the power quantity, if the required power rate indicated by the power quantity parameter in one charge-discharge service requirement is greater than the required power rate indicated by the power quantity parameter from another charge-discharge service requirement, the priority of the charge-discharge service requirement with the higher required power rate may be higher.
In other examples, the priority may also be determined based on other factors, such as demand urgency, initiator location, and so forth. For example, charge and discharge service requirements of a higher degree of urgency may be prioritized over charge and discharge service requirements of a relatively lower degree of urgency, charge and discharge service requirements from an initiator closer in distance may be prioritized over charge and discharge service requirements from an initiator farther in distance, and so on.
In this way, the received plurality of charge-discharge service requirements may be prioritized.
Likewise, the responder mobile energy robot performing the response may be determined based on various criteria. For example, an appropriate mobile energy robot may be selected as the responder mobile energy robot based on the relative position (e.g., distance) between each mobile energy robot and the demand initiator. For example, if the demand initiator is a new energy vehicle and the required amount of power and vehicle position information are indicated in the charge-discharge service demand, a mobile energy robot that can provide the required amount of power and is close to the new energy vehicle (e.g., within a certain distance) may be selected as the responder mobile energy robot.
For the plurality of charge-discharge service requirements described above, one or more responder mobile energy robots may be determined. That is, the charge and discharge service demands may be responded to by one responder mobile energy robot, or by a plurality of responder mobile energy robots.
Finally, the energy management scheduling platform may schedule the responder mobile energy robot to complete one or more charge and discharge services based on the priorities (525).
In some cases, the responder mobile energy robots may not be able to complete all charge and discharge services due to the limited number and amount of mobile energy robots in the system, remote locations of the requesting locations, and the like. In such a case, a response to the higher priority charge-discharge service demand may be selected based on the priority determined at 515 to complete one or more of all of the charge-discharge services. In this way, power allocation and scheduling may be optimized.
Fig. 6 illustrates an exemplary decision flow 600 for electrical energy storage and release during energy exchange in accordance with aspects of the subject application.
In performing the energy exchange, the energy management scheduling platform may schedule the mobile energy robots for electrical energy storage (charging) and/or electrical energy release (discharging) based on various criteria.
For example, in some implementations, the energy management scheduling platform may cause the mobile energy robot to obtain and store electrical energy from the grid and/or micro-grid during periods of low electricity usage and to utilize the stored electrical energy to externally supply power in response to the charging demand during periods of high electricity usage. The mobile energy robot powering the outside may include powering a power grid and/or micro-grid (e.g., through an energy gateway), powering a new energy vehicle, powering an external load, and so forth.
In other implementations, the energy management scheduling platform may cause the mobile energy robot to obtain and store electrical energy from the grid and/or the micro-grid during a first period of lower electricity prices and to externally supply power using the stored electrical energy in response to the charging demand during a second period of higher electricity prices.
In other implementations, the energy management scheduling platform may schedule the mobile energy robot to move to the automatic docking device to obtain and store electrical energy from the electrical grid and/or the micro-grid when the electrical quantity of the mobile energy robot is below a preset value; the mobile energy robot can also spontaneously move to the automatic docking device to acquire and store electric energy from the power grid and/or the micro-grid when the electric quantity of the mobile energy robot is lower than a preset value.
Specifically, as shown in fig. 6, the energy management scheduling platform may learn the electricity usage of the grid and/or the micro-grid. For example, the power grid and/or micro-grid may be directly or indirectly connected to and in communication with an energy management dispatch platform in the mobile energy network system to inform the power grid and/or micro-grid of the power usage.
If it is determined that the power usage of the grid and/or the micro-grid is low (e.g., below a certain threshold), the grid and/or the micro-grid may be considered to be in a low power usage. At the moment, the power grid and/or the micro-grid have low power consumption load, and the energy management scheduling platform can schedule the mobile energy robot to acquire and store electric energy from the power grid and/or the micro-grid.
If it is determined that the power usage of the grid and/or the micro-grid is high (e.g., above a certain threshold), the grid and/or the micro-grid may be considered to be at peak power usage. At this time, the power grid and/or the micro-grid has higher power load, and the energy management scheduling platform can schedule the mobile energy robot to externally supply power (i.e. release the power) by using the stored power, so as to solve the problem of power supply shortage during the power consumption peak.
In some implementations, certain fixed electricity usage valley periods and electricity usage peak periods may be determined based on daily electricity load conditions of the grid and/or micro-grid, where the electricity usage during the electricity usage valley periods tends to be lower and the electricity usage during the electricity usage peak periods tends to be higher. Thus, the mobile energy robot can acquire and store electric energy from the power grid in the electricity consumption valley period, and externally supply power by utilizing the stored electric energy in the electricity consumption peak period.
In practice, the electricity prices may be different in different periods, for example, the electricity price may be higher in a certain period of the day and lower in another period of the day.
Thus, as shown in FIG. 6, the energy management scheduling platform may also make decisions regarding electrical energy storage and release based on electricity prices.
If it is determined that the electricity price is low (e.g., below a certain threshold) during the current time period, the energy management scheduling platform schedules the mobile energy robot to obtain electrical energy from the electrical grid for storage.
If it is determined that the electricity price is high (e.g., above a certain threshold) during the current time period, the energy management scheduling platform may schedule the mobile energy robot to externally supply power (i.e., release power) using the stored power. In this way, electrical energy storage and release decisions can be made using the electricity price differences for different periods, storing electrical energy when the electricity price is low and releasing electrical energy when the electricity price is high, thereby saving electricity costs and optimizing energy utilization.
It should be noted that while a decision to make electrical energy storage and release based on the amount of electricity used and the price of electricity is shown in fig. 6, the present application is not limited thereto. In a practical implementation, decisions on electrical energy storage and electrical energy release may also be made based on other factors.
FIG. 7 illustrates a schematic diagram 700 of a virtual power plant system in accordance with aspects of the subject application.
The virtual power plant (Virtual Power Plant, VPP) is an energy integration solution based on digitizing technology and intelligent energy management systems. The centralized control and coordination management of energy are realized by integrating distributed energy resources, energy storage equipment and flexible load. The goal of a virtual power plant is to optimize energy supply, increase energy utilization efficiency, and provide flexibility and reliability for the power system.
In practice, each grid and/or micro-grid shown in fig. 7 may correspond to one campus, and each grid and/or micro-grid may manage power supply within the corresponding campus, while multiple parks may form one virtual power plant. The energy management efficiency and the reliability of the whole system can be further improved by performing energy scheduling and demand response on a plurality of power grids and/or micro-power grids by the virtual power plant.
As shown, the virtual power plant system mainly includes a virtual power plant management platform and a plurality (N) of power grids and/or micro-grids, where each power grid and/or micro-grid employs a corresponding mobile energy network system.
The virtual power plant management platform is configured to: the distribution and flow of electrical energy in each mobile energy network system is managed.
For example, the virtual power plant system may learn about the generation and consumption of electrical energy in the respective electrical grids and/or micro-grids through communication with the electrical grids and/or micro-grids to achieve supply and demand balance and optimization of electrical energy between the respective electrical grids and/or micro-grids. For example, the virtual power plant management platform may receive signals from a management platform of the power grid and/or the micro-grid (such as the power management platform in fig. 8 below) to learn of the power conditions and demands of the power grid and/or the micro-grid.
By knowing the power conditions and demands of each grid and/or micro-grid, the virtual power plant system can further integrate the power resources in different parks, and improve the utilization efficiency of the resources. By collecting data, predictive analysis and automated control in each grid and/or micro-grid in real time via the power management platform, the virtual power plant system can quickly respond to power market demands and power system changes in a wider range, enabling efficient configuration and optimization of energy.
FIG. 8 illustrates a method 800 for demand side response with a virtual power plant system in accordance with aspects of the subject application.
As shown, the power management platform of the power grid may send a demand response offer or a real-time demand response instruction to a virtual power plant system (e.g., a virtual power plant management platform of the virtual power plant system).
In the event that the power management platform sends a demand response offer (805), a virtual power plant system (e.g., a virtual power plant management platform of the virtual power plant system) may formulate an initial response plan based on the received demand response offer and provide to the power management platform (815).
In the present application, demand response offers may include, but are not limited to, offer response ranges, demand amounts, time periods, and offer deadlines, among others.
Specifically, after receiving the demand response offer, the virtual power plant system may formulate an initial response plan based on the contents of the offer. For example, the virtual power plant system may formulate an optimal response plan (e.g., a response plan with a maximum amount of response) that meets the requirements indicated in the offer and is within its own capacity, and provide it as an initial response plan to the power management platform. In some embodiments, the incidental response prices may also be provided to the power management platform together.
Subsequently, the virtual power plant system may formulate an actual response plan based on the feedback of the power management platform to the initial response plan (820).
For example, the power management platform, upon receiving an initial response plan from each virtual power plant system, may determine the virtual power plant systems participating in the demand response and the associated response amounts. The power management platform may provide the response volume as feedback to the virtual power plant system, which may thereby formulate an actual response plan based on the feedback.
After the actual response plan is formulated, the virtual power plant system may control the flow of electrical energy to the one or more mobile energy network systems based on the actual response plan (825).
For example, during peak clipping demand response periods, the virtual power plant system may cause the mobile energy robots in the one or more mobile energy network systems to discharge to the grid through the energy gateway, during valley filling demand response periods, the virtual power plant system may cause the mobile energy robots in the one or more mobile energy network systems to draw electrical energy from the grid through the energy gateway to meet grid load requirements in the actual response plan (e.g., to cause the actual grid load to not exceed an upper load limit, not to fall below a lower load limit, etc.).
On the other hand, in the case where the power management platform sends a real-time demand response instruction (810), the virtual power plant system may control the power flow direction of one or more mobile energy network systems in real time based on the instruction (830). In particular implementations, the power management platform may interface with and control a virtual power plant management platform of the virtual power plant system to control the flow of electrical energy to one or more mobile energy network systems in the virtual power plant system in real time. For example, the power management platform may decide whether to discharge to or draw power from the power grid based on real-time operating conditions of the power grid. The power management platform can send real-time instructions to the virtual power plant management system to control the electric energy flow direction of the mobile energy network system in real time. In this way, the electric energy scheduling can be performed according to the real-time operation condition of the power grid, so that the efficient configuration and optimization of the electric energy are realized.
In particular implementations, the power management platform may issue different types of instructions to the virtual power plant system at different times. For example, the power management platform may issue a demand response offer 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 determine the type of instructions sent to the virtual power plant system according to actual conditions. For example, when the real-time requirement on the power system is high, the power management platform may issue a real-time demand response instruction to the virtual power plant system to control the power flow direction in real time. In the case where the stability requirements for the power system are high, but the real-time requirements are not so high, the power management platform may issue a demand response offer to the virtual power plant system.
According to the technical scheme, the intelligent scheduling and optimization of the electric energy are realized by obtaining the electric energy generation, consumption and storage conditions of all devices/modules in the mobile energy network system. The mobile energy network system can flexibly meet the power consumption requirements of various users in different areas in different time periods, intelligent scheduling of electric energy and circulation optimization of electric energy are realized, and flexibility and sustainability of energy exchange are effectively improved. Meanwhile, the electric energy bidirectional flow mechanism in the mobile energy network system enables the new energy vehicle to acquire electric energy from the power grid and feed the electric energy back to the power grid, so that the flexibility and the sustainability of energy exchange are improved. In addition, the automatic butt joint and separation of the mobile energy robot and the automatic butt joint device can effectively improve the energy exchange efficiency, and enlarge the area of the charging and storing service, so that the electric energy charging and storing requirement in a larger range is met. The virtual power plant system integrates and manages electric energy distribution and flow by utilizing the mobile energy network system, and effectively distributes and schedules electric energy according to actual power demand and energy supply and demand conditions so as to realize the stability and reliability of power supply.
The detailed description set forth above in connection with the appended drawings describes examples and is not intended to represent all examples that may 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 not "over or superior to other examples.
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, the use of such phrases may not merely refer to one embodiment. Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
The previous 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 generic principles defined herein may be applied to other aspects. Thus, the claims are not intended to be limited to the aspects shown herein, but is to be accorded the full scope consistent with the language claims, wherein reference to an element in the singular is not intended to mean "one and only one" unless specifically so stated, but rather "one or more". The term "some" means one or more unless specifically stated otherwise. The elements of each aspect described throughout this application are all structural and functional equivalents that are presently or later to be known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be encompassed by the claims.
It is also noted that the embodiments may be described as a process which is depicted as a flowchart, a flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. Additionally, the order of the operations may be rearranged.
While various embodiments have been illustrated and described, it is to be understood that the embodiments are not limited to the precise arrangements and instrumentalities described above. Various modifications, substitutions, and improvements apparent to those skilled in the art may be made in the arrangement, operation, and details of the apparatus disclosed herein without departing from the scope of the claims.

Claims (18)

1. A mobile energy network system, comprising:
a mobile energy robot configured to store electric energy and perform bidirectional charge and discharge, and movable within a preset range;
an energy gateway configured to communicate with a power grid and/or a micro-grid;
an automatic docking device configured to communicate the energy gateway and the mobile energy robot, a first end of the automatic docking device being connected to the energy gateway, a second end of the automatic docking device being capable of being automatically docked and automatically undocked with the mobile energy robot, wherein the automatic docking device automatically docks with the mobile energy robot when the mobile energy robot moves to a preset position in proximity to the automatic docking device to enable bi-directional flow of electrical energy between the mobile energy robot and the electrical grid and/or micro grid; and
An energy management scheduling platform configured to: and managing and scheduling the flow of electrical energy in the mobile energy robot, the energy gateway and the automatic docking device.
2. The mobile energy network system of claim 1, wherein:
the mobile energy robot comprises a socket, the second end of the automatic docking device is an automatic mechanical arm, and the automatic mechanical arm can be automatically docked with the socket of the mobile energy robot so as to be communicated with the mobile energy robot and the energy gateway, and energy exchange between the mobile energy robot and the power grid and/or the micro-grid is achieved.
3. The mobile energy network system of claim 1, wherein:
the mobile energy robot comprises a charging gun which can be in butt joint with and separated from a charging socket of the new energy vehicle so as to realize energy exchange between the mobile energy robot and the new energy vehicle.
4. The mobile energy network system of claim 1, further comprising an operator application configured to: and providing management and monitoring for the operation of each mobile energy robot in the mobile energy network system based on the energy management scheduling platform.
5. The mobile energy network system of claim 1, further comprising a client application configured to: and providing charge and discharge service for users based on the energy management scheduling platform.
6. A method of energy exchange by the mobile energy network system of any one of claims 1 to 5, comprising:
the energy management scheduling platform receives charging and discharging service requirements;
the energy management scheduling platform acquires state information of all mobile energy robots in the mobile energy network system;
the energy management scheduling platform formulates an optimal response strategy according to the charge and discharge service requirements and the state information of all the mobile energy robots, and determines the mobile energy robots of the responders to be responded; and
and the energy management scheduling platform schedules the responder mobile energy robot to execute the optimal response strategy so as to complete charging and discharging service.
7. The energy exchanging method of claim 6, wherein:
the charge-discharge service requirements comprise electric quantity parameters, time period parameters and response area parameters;
and/or;
the state information comprises electric quantity information and position information of the corresponding mobile energy robot.
8. The energy exchanging method of claim 6, wherein:
the charge-discharge service requirements include charge-discharge service requirements from a new energy vehicle, wherein the energy management scheduling platform schedules the responder mobile energy robot to complete charge-discharge service further comprises:
and the energy management scheduling platform schedules the mobile energy robot of the response party to move to the vicinity of the new energy vehicle so as to complete the charge and discharge service of the new energy vehicle.
9. The energy exchanging method according to claim 8, wherein,
the energy management scheduling platform scheduling the movement of the responder mobile energy robot into the vicinity of the new energy vehicle further comprises:
the energy management and dispatching platform generates a planned path based on regional map information, vehicle position information of the new energy vehicle and position information of the responding mobile energy robot and sends the planned path to the responding mobile energy robot, and the responding mobile energy robot moves to the vicinity of the new energy vehicle according to the planned path; or (b)
The energy management and dispatching platform sends the vehicle position information of the new energy vehicle to the response party mobile energy robot, and the response party mobile energy robot generates a planning path according to the regional map information, the vehicle position information of the new energy vehicle and the position information of the response party mobile energy robot and moves to the vicinity of the new energy vehicle according to the planning path.
10. The energy exchanging method of claim 6, wherein:
the charge-discharge service requirements include charge-discharge service requirements from the grid and/or micro-grid, wherein the energy management scheduling platform schedules the responder mobile energy robot to complete charge-discharge service further comprises:
the energy management scheduling platform schedules the mobile energy robot of the response party to move to a preset position near the automatic docking device, so that the automatic docking device and the mobile energy robot of the response party are automatically docked to complete charging and discharging services of the power grid and/or the micro-power grid.
11. The energy exchanging method of claim 6, wherein:
the charge-discharge service requirements include emergency charge-discharge service requirements, wherein the optimal response strategy is formulated further based on an initiator of the emergency charge-discharge service requirements and a degree of demand urgency, wherein the energy management scheduling platform schedules the responder mobile energy robot to complete charge-discharge service further comprises:
the energy management scheduling platform schedules the responder mobile energy robot to move to a position associated with the initiator to complete emergency charge and discharge service to the initiator.
12. The energy exchange method of claim 6, wherein the charge-discharge service requirements include a plurality of charge-discharge service requirements from different initiators, and the method further comprises:
the energy management scheduling platform formulates an optimal response strategy based on state information of a plurality of charge and discharge service demands and all mobile energy robots;
determining a priority of the response requirement and executing the response of the responding party mobile energy robot; and
the energy management scheduling platform schedules the responder mobile energy robot to complete one or more charge and discharge services based on the priority.
13. The energy exchange method of claim 6, further comprising:
the mobile energy robot in the mobile energy network system acquires and stores electric energy from the power grid and/or the micro-power grid in the electricity consumption valley period; and
the mobile energy robot utilizes the stored electric energy to externally supply power to respond to the charging requirement in the power utilization peak period.
14. The energy exchange method of claim 6, further comprising:
the mobile energy robot in the mobile energy network system acquires and stores electric energy from the power grid and/or the micro-grid in a first period of low electricity price; and
The mobile energy robot is powered externally by the stored electric energy in response to the charging requirement in a second period of higher electricity price.
15. A virtual power plant system, comprising:
a plurality of mobile energy network systems as claimed in any one of claims 1 to 5; and
a virtual power plant management platform configured to: the distribution and flow of electrical energy in each mobile energy network system is managed.
16. A method of demand side response using the virtual power plant system of claim 15, comprising:
receiving a demand response offer or a real-time demand response instruction from a power management platform of the power grid;
the following is performed in the case of receiving a demand response offer:
formulating an initial response plan based on the demand response offer and providing to the power management platform;
formulating an actual response plan based on feedback from the power management platform to the initial response plan; and
controlling the flow of electrical energy to one or more mobile energy network systems based on the actual response plan;
the following operations are performed in the case of receiving a real-time demand response instruction:
and controlling the electric energy flow direction of the one or more mobile energy network systems in real time.
17. The method of claim 16, wherein the demand response offer comprises a response range, a demand, a period, an offer deadline.
18. The method of claim 16, wherein controlling the flow of electrical energy to one or more mobile energy network systems based on the actual response plan further comprises:
in a peak clipping demand response period, discharging the mobile energy robots in the one or more mobile energy network systems to a power grid through an energy gateway; and
and in the valley filling demand response period, enabling the mobile energy robots in the one or more mobile energy network systems to acquire electric energy from the power grid through the energy gateway.
CN202311590090.XA 2023-08-31 2023-11-24 Mobile energy network system Pending CN117400774A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118074199A (en) * 2024-04-22 2024-05-24 始途科技(杭州)有限公司 Multidirectional energy scheduling system of storage and charging equipment

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118074199A (en) * 2024-04-22 2024-05-24 始途科技(杭州)有限公司 Multidirectional energy scheduling system of storage and charging equipment

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