235 results about "Power exchange" patented technology

An electric motor based system includes an electric motor; an electric motor power controller for controlling the electric motor; a first control unit, adapted to provide first control signals for the electric motor power controller; an electric power storage device adapted to power the electric motor power controller; a first sensor adapted to determine information related to power exchange between the electric power storage device and the electric motor power controller; and a second control unit, wherein the second control unit is adapted to pass the first control signals, received from the first control unit, to the electric motor power controller in a first mode and adapted to provide second control signals for the electric motor power controller in a second mode; and the second control unit inputs and exploits the information.

The invention discloses a charging pile system management method based on dynamic load balancing, and particularly relates to the technical field of charging pile management, and the method comprises the steps: collecting time domain scheduling data of a charging pile side, a power grid side and a distributed renewable energy output device side, carrying out the fusion filtering, and obtaining a station-level state vector; generating a station-level prediction sequence of the charging pile in the next control period based on the station-level state vector and a rolling prediction model; an inner-layer controller reads the station-level state vector and the station-level prediction sequence, establishes a power prediction optimization model and solves the model, and outputs an expected station-level power trajectory and station-level power redundancy; a result output by the inner-layer controller is received, and a station-level power envelope curve and an energy storage charging and discharging set value are comprehensively solved and transmitted; the slope upper limit of the station-level power envelope curve is contracted based on the oscillation amplitude, the new slope upper limit is substituted into the next solution, the subsequent power change rate is limited, and the problem of unstable power exchange between the charging station and the superior power grid is effectively solved.

The invention relates to the field of clean energy, and provides a distributed secondary control method based on deep reinforcement learning, and the method comprises the steps: S1, deploying a DDPG intelligent agent in a distributed micro-grid, and enabling the DDPG intelligent agent to be used for secondary control; s2, establishing a communication graph model of the distributed micro-grid based on a graph theory, so that each distributed power supply in the distributed micro-grid only exchanges control signals and voltage information with the adjacent distributed power supplies; and S4, regulating and controlling the output power of the distributed power supply by using the intelligent agent, and dynamically regulating the frequency and voltage secondary control signal according to the decision of the intelligent agent. Therefore, the dynamic adaptability and the system-level reliability of the distributed power system are improved.

The invention is suitable for the technical field of integrated energy microgrid scheduling, and provides a power distribution network random distributed robust optimization scheduling method of an integrated energy microgrid group, comprising the following steps: constructing a DN structure comprising a plurality of microgrids; the DN day-ahead scheduling optimization model containing the IEMGs pays attention to operation cost and constraint conditions; for the DN, the problem of non-convex nonlinear optimization including line loss is solved; for the IEMG, the model is used for processing a convex optimization problem considering WT and PV output power uncertainty; power exchange is carried out between the DN and the IEMG through a connecting line, so that a double-layer model framework is constructed to analyze the system; the solving process is a double-layer optimization iteration process, an outer layer obtains an interaction power value between the DN and the IEMG by using an ATC method, and an inner layer uses Camp; the CG method solves the problem of random distribution robust optimization of IEMG. According to the method, the carbon emission and the operation cost of the system can be effectively reduced, meanwhile, stable operation of the DN is ensured, and a theoretical basis is provided for efficient utilization of ammonia energy in the DN.

The present disclosure relates to the technical field of new energy power generation, and provides an operation control method for an electric-hydrogen coupling system, and an electric-hydrogen coupling system. According to the present disclosure, prediction related parameters corresponding to power station power and power station power instruction related parameters are acquired, and in order to achieve optimal economic efficiency while meeting grid power exchange limitation requirements, a power station power adjustment instruction and an electrolytic cell power adjustment instruction corresponding to each moment are acquired.

The invention relates to the field of power distribution system simulation, in particular to a power distribution and micro-grid coordination wide-area balance regulation and control method and system in a multi-micro-grid access scene, and the method comprises the steps: carrying out the cluster division of a plurality of micro-grids based on the electrical coupling degree and net power between the micro-grids; using a pre-constructed multi-energy coupling source load prediction model to cluster resources of an area where the micro-grid is located, and performing load prediction on the divided clusters based on the clustered resources to obtain a group composed of the clusters, the resources and corresponding loads; based on the group, a target cascade method is adopted to solve a pre-constructed zone area or micro-grid layer optimization model, a feeder line level optimization model and a region layer optimization model to realize dispatching optimization of the power distribution network and the micro-grid; by constructing the multi-layer optimization model, the power exchange cost, the power generation cost and the environment cost between the micro-grid and the power distribution network can be optimized, and economic operation of the system is achieved.

The invention relates to the technical field of power distribution network self-balancing capability evaluation, in particular to a power distribution network self-balancing capability evaluation method and system. The method comprises the following steps: in the operation process of a power distribution network, acquiring real-time operation parameters of load concentration nodes, and recording the real-time operation parameters in a sampling time sequence form; when the collected real-time operation parameters exceed a preset stable threshold value, marking the node as a trigger node, recording a disturbance event of the node, and analyzing a recovery index of each node after each disturbance; calculating the power exchange capacity between the adjacent nodes based on the node recovery indexes, judging whether a synergistic effect exists between the nodes, calculating the relative recovery speed between the nodes, and identifying the node with the maximum recovery speed difference value as a self-balancing bottleneck node; through power distribution network self-balancing capability evaluation, the disturbance recovery characteristics of the power distribution network are quantified, bottleneck nodes are accurately identified, and effective evaluation of the self-balancing capability is realized.

The invention discloses an industrial park micro-grid optimization scheduling method based on electric furnace load active adjustment. The method comprises the following steps: constructing an economical operation objective function for generating power by using a thermal power generating unit to share blast furnace gas of a steel mill; dynamically adjusting the maximum exchange power between the micro-grid and the public grid by iterating the shrinkage constraint, and calculating a minimum feasible value to reduce basic electricity price expenditure; taking the gear of the electric furnace transformer as an adjusting variable, and constructing a load adjusting constraint model containing a fixed load and an adjustable load; the micro-grid adopts a double-bus topology, power mutual assistance is realized through a back-to-back converter, and a distributed power supply, an energy storage system and a new energy power generation set are configured. The method can efficiently utilize energy and reduce the operation cost; the public network expenditure is reduced by dynamically optimizing power exchange; the system flexibility is improved by flexibly regulating and controlling the load; new energy fluctuation is stabilized, and stability is enhanced; the double-bus structure realizes grid-connected and off-grid switching, improves reliability, and is suitable for iron and steel enterprises to improve the utilization rate of renewable energy sources and reduce operation cost.

The invention discloses a regional power distribution method and system for distributed new energy consumption, and relates to the technical field of power systems, and the method comprises the steps: obtaining regional power distribution network data, and constructing a power distribution network analysis model; based on the power distribution network analysis model, dividing the regional power distribution network into a plurality of energy autonomous units by calculating the electrical distance and the power sensitivity; calculating an energy complementation index and a load elastic coefficient of each energy autonomous unit, and constructing a unit feature model; dynamically adjusting the active power and reactive power output of the distributed new energy in each energy autonomous unit according to the unit characteristic model; and monitoring the operation state of the energy autonomous units, implementing a cooperative control strategy, and adjusting power exchange between the energy autonomous units. According to the energy autonomous unit division method provided by the invention, the tightly coupled node group can be accurately identified, the nearby consumption and efficient utilization of new energy are realized, and the power transmission and distribution loss is reduced.

The invention discloses a hybrid micro-grid group power coordination control method and device. The method comprises the following steps: establishing a hybrid micro-grid group topological structure; each alternating-current sub-network collects the bus frequency of the corresponding alternating-current bus, and each direct-current sub-network collects the bus voltage of the corresponding direct-current bus; when the bus frequency of the alternating current subnet or the bus voltage of the direct current subnet fluctuates in a first preset range, the alternating current subnet and the direct current subnet adopt adaptive droop control to realize power coordination; when the bus frequency of the alternating-current subnet or the bus voltage of the direct-current subnet fluctuates within a second preset range, the alternating-current subnet and the direct-current subnet achieve power coordination through power exchange; and when the bus frequency of the AC subnet or the bus voltage fluctuation of the DC subnet exceeds a second preset range, controlling the power output of the energy storage subnet to realize power coordination, and the method can improve the robustness of the system.

The invention discloses a multi-modal data fusion battery replacement guiding method and system, a storage medium and a battery replacement station, and belongs to the technical field of new energy automobile battery replacement, and the method comprises the steps: obtaining the position information of a battery pack and the ground clearance of the battery pack, and calculating the pixel point coordinates of a battery replacement guiding frame corresponding to the current height of the battery pack; identifying the battery pack to obtain a detection rectangular frame pixel point coordinate of the battery pack; if the detection rectangular frame of the battery pack is completely located in the battery replacement guide frame, comparing and matching the pixel point coordinates of the battery replacement guide frame with the pixel point coordinates of the detection rectangular frame, and if the detection rectangular frame of the battery pack is completely located in the battery replacement guide frame, obtaining the coordinates of the battery pack, converting the coordinates of the battery pack into the coordinates of the battery pack based on a battery replacement robot coordinate system, and forming a complete battery pack position information data packet; and controlling the battery replacing robot to complete battery replacing operation according to the battery pack position information data packet. And through multi-modal data fusion, millimeter-level accurate positioning of a three-dimensional space of the battery pack is realized, and the docking success rate of the battery replacement robot is remarkably improved.

The utility model relates to a new energy vehicle battery replacement lifting device, and belongs to the technical field of new energy vehicle battery replacement. The lifting device comprises a machine frame, a front lifting mechanism and a rear lifting mechanism, the front lifting mechanism and the rear lifting mechanism each comprise a bearing frame, a lifting frame arranged on the bearing frame and a shear type lifting structure used for driving the lifting frame to ascend and descend, and the bearing frames are fixedly arranged on the machine frame or arranged on the machine frame in a position-adjustable mode. The lifting frame is arranged on the bearing frame through the shear type lifting structure; the lifting frame is provided with a lifting plane or a lifting point used for lifting and leveling the new energy vehicle. And the height position of the lifting point is adjustable. The number of lifting points on the lifting mechanism is four, and the distance between every two adjacent lifting points is adjustable. The lifting device is simple in structure, convenient to operate, stable in lifting process, stable and reliable in lifting and supporting, small in space required by each part, and very suitable for lifting of a new energy vehicle during battery replacement.

The invention discloses an interface method for a VSC direct current system mixed granularity model and an alternating current system electromechanical transient model. The method comprises the steps that a mixed granularity simulation framework is constructed, wherein an electromechanical transient phasor model is adopted on the alternating current side, and a simplified electromagnetic transient instantaneous value model considering electromagnetic characteristics is adopted on the direct current side; the VSC converter adopts a unified equivalent model, and various types of converters are adapted through parameter configuration; a low-voltage side bus of the converter transformer is arranged at the interface position of the simulation framework and the alternating current system; simulation and interaction rules are configured, wherein the simulation step length of each direct-current power grid is independently set; the alternating current system provides port voltage and alternating current control information for the simulation framework, the simulation framework is equivalent to the alternating current system as a power source, and power exchange is realized through the converter station; in one time step calculation of the electromechanical transient state, the simulation framework changes along with the alternating current side information, a historical simulation state is taken back, and direct current side simulation in the alternating current time step is carried out again until the power interaction deviation converges.

The invention belongs to the technical field of new energy heavy truck chassis battery swap stations, and particularly relates to a PLC control-based battery swap station liquid cooling control system, which comprises a PLC controller, and the PLC controller comprises a signal acquisition unit, a logic control unit, a data storage unit, a control output unit, a bus and a 485 communication port. And the signal acquisition is realized by a plurality of sensors for acquiring liquid cooling data of the battery swap station. According to the liquid cooling control system for the battery swap station based on PLC control, the actual state of each sensor is obtained through conversion calculation according to the collected signals of the temperature sensor, the pressure sensor, the liquid level sensor and the like through the PLC, a compressor and an outer fan are automatically controlled through Modbus communication to control the work of a refrigerating system, the liquid outlet temperature is kept within a set value range, and the working efficiency is improved. The superheat degree of the system is calculated according to the exhaust temperature of the compressor, and the superheat degree of the system is controlled through an expansion valve controller; and finally, the cooling liquid output by the system is controlled by controlling the rotating speed of the water pump to ensure that sufficient cooling liquid flows into the charging bag for cooling.

The invention belongs to the technical field of power systems, and particularly relates to a day-ahead scheduling method for a building light storage direct-flexible energy microgrid with friendly power exchange. Comprising the steps that a mathematical model of the negative carbon building light storage direct-flexible energy microgrid is constructed, so that the complex operation characteristics of the negative carbon building light storage direct-flexible energy microgrid are converted into quantifiable optimization problems; wherein the mathematical model comprises a power generation constraint model, a power balance constraint model, a peak-valley difference and volatility constraint model, a storage battery constraint model, a phase change heat storage system operation constraint model and a water supply system operation constraint model; constructing a target function of an optimal scheduling model by taking the minimum total operation cost of the negative carbon building light-storage direct-flexible energy microgrid in a scheduling period as a target; wherein the total operation cost comprises an economic cost item, an environmental cost item and a power grid interaction optimization demand cost item. After the heat and water storage system is introduced, except for the friendly cost of a power grid, other costs are remarkably reduced.

The invention provides a direct-current bus voltage control method of a station multi-terminal direct-current system, which is applied to a system comprising a direct-current bus and a plurality of ports connected to the direct-current bus, and the plurality of ports comprise at least one grid-connected converter connected to an alternating-current network. Performing active power exchange on an alternating current network; and enabling the grid-connected converter to adopt a network construction converter control method based on the virtual synchronous model, and stabilizing the voltage of the direct current bus by adjusting the active power exchanged to the alternating current network by the grid-connected converter. The problems that in the prior art, it is difficult to provide alternating-current side support while stabilizing the direct-current bus voltage, and the adaptability to power grid state changes is insufficient are effectively solved, and the overall stability and reliability of the station multi-terminal direct-current system are enhanced.

The present invention provides a new energy vehicle battery swapping station without lifting, which includes a vehicle passage platform and a container system. The vehicle passage platform is installed inside the container system. A battery swapping mechanism and a vehicle positioning device are installed on the vehicle passage platform, and the vehicle positioning device is located on one side of the battery swapping mechanism. The battery swapping mechanism moves along the vehicle passage platform. A battery storage system, a power supply and distribution system, and a fire protection system are arranged outside the vehicle passage platform, and the battery storage system, the power supply and distribution system, and the fire protection system are arranged side by side with the vehicle positioning device. The present invention does not need to lift the light truck vehicle. The battery height and the offset of the battery of the light truck vehicle are measured respectively by a vision component, and at the same time, the traction mechanism and the locking and unlocking device of the battery swapping mechanism are controlled to be parallel to the battery, achieving the purpose of facilitating the quick extraction of the battery and replacing it with a new battery.

The embodiment of the invention provides a flywheel direct-driven cogeneration unit dynamic adjusting system and a control method thereof, in the embodiment of the invention, a magnetic suspension technology is adopted to eliminate friction of a traditional mechanical bearing, and quick starting and stopping of the rotating speed of a flywheel are realized; the high-temperature superconducting magnetic clutch achieves instantaneous mechanical coupling / decoupling of the flywheel and the circulating pump through the zero resistance characteristic, and the response time is short. The frequency modulation requirement of a new energy power grid can be matched, and meanwhile hard constraint of thermal load fluctuation on electric energy output is avoided. The mechanical direct-drive path directly utilizes the kinetic energy of the flywheel to drive the circulating pump, so that a multi-stage energy conversion link in a traditional mode is omitted; the electric adjusting path realizes bidirectional power exchange between the flywheel and a power grid through an energy interface device, and the loss of an inverter is reduced; and the high-temperature superconducting magnetic clutch realizes zero-energy-loss transmission in a coupling state. The magnetic suspension flywheel set adopts a non-contact suspension technology, so that mechanical wear is eliminated; the high-temperature superconducting magnetic clutch achieves non-contact transmission through magnetic coupling, and friction loss is avoided.

The invention relates to a DC voltage secondary ripple suppression method. The method comprises the steps of obtaining direct-current bus voltage; subtracting the DC bus voltage from the reference voltage to obtain an error signal; suppressing a fluctuation component corresponding to a target frequency in the error signal through a resonance controller to obtain a first adjusting quantity; performing steady-state adjustment on a direct-current component in the error signal through the adjustment controller to obtain a second adjustment variable; performing phase rotation on the first adjusting quantity at the target frequency through a phase adjuster to obtain the first adjusting quantity after phase adjustment; superposing the first adjusting quantity and the second adjusting quantity after phase adjustment to obtain a target direct current signal; acting the target direct current signal on an inverter to control the inverter to output a target current; the target current is used for adjusting instantaneous active power exchange between the inverter and the alternating current power grid so as to adjust the direct current bus voltage, and the direct current bus voltage without secondary ripples is obtained.

The invention provides a planning method and system for an electric power traffic coupled light storage and charging integrated station, and the method comprises the steps: carrying out the prediction of the time-space distribution of a charging load through employing an electric power traffic coupled EV load time-space distribution prediction model, carrying out the distribution of traffic flow according to historical data and an actual road network structure, and simulating the driving and charging characteristic parameters of an EV; carrying out path planning according to the O-D solution of the EV and according to the real-time road resistance matrix and the congestion degree, and judging whether to carry out V2G mode power exchange or not to obtain the spatial and temporal distribution condition of the EV load; and determining an objective function and a day-ahead economic dispatching constraint condition, and solving to obtain planning result data of the optical storage and charging integrated station under the electric power traffic coupling condition. According to the method, the deep coupling characteristic of the power distribution network and the traffic network is considered, and the planning and operation of the optical storage and charging integrated station and the power distribution network are coordinated, so that the optical storage and charging integrated station obtains more considerable efficiency and economic benefits, and the method has better applicability.

The invention provides a parameter adjusting method and device of an energy storage unit, and energy storage control equipment and system, and relates to the technical field of transformer area power supply. The method comprises the following steps: acquiring output power of an energy storage unit at a plurality of moments in a preset time period, an equipment operation state and real-time residual electric quantity of the energy storage unit; according to the output power and the equipment operation state, calculating the net electric quantity exchanged between the energy storage unit and the transformer area distribution transformer in a preset time period; according to the net electric quantity and a preset residual electric quantity reference value of the energy storage unit, calculating a target residual electric quantity reference value of the energy storage unit; calculating a target reference voltage of the energy storage unit according to the target residual electric quantity reference value, the real-time residual electric quantity and the initial reference voltage; and controlling the energy storage unit to charge and discharge according to the real-time operation voltage and the target reference voltage of the energy storage unit so as to regulate and control the phase line voltage. According to the invention, the parameters of the energy storage unit can be automatically adjusted, and the automatic response capability and the scene adaptability are improved.

The invention relates to the technical field of intelligent construction and engineering transportation management, and discloses an electric heavy truck earth-rock transportation battery replacement and path optimization method and device, and the method comprises the steps: carrying out the dynamic decision of an earth-rock transportation path of an electric heavy truck according to a battery remaining capacity value and a driving state data set in combination with a work order state information set; the limitation of path planning and vehicle electric quantity state separation in the prior art is broken; and based on the earth-rock transportation path candidate set, a battery swap station sorting list is formed, a traditional fixed nearby battery swap or preset station allocation mode is abandoned, and dynamic screening of the battery swap stations is realized. Furthermore, by constructing a target strategy model based on reinforcement learning, joint optimization solution of the path and the power conversion strategy is realized, an optimal joint decision can be continuously output in a complex environment with strong time variation, strong coupling and multiple constraints, synchronous optimization of the path and power conversion is realized, and the waiting time of power conversion is reduced.

The invention discloses a hierarchical coordination control method and device for a hybrid energy storage system, and relates to the field of power regulation and control, the method comprises a day-ahead peak regulation step, a real-time frequency modulation step and an SOC recovery step, the day-ahead peak regulation step comprises the steps of determining a target load curve of a power grid, determining a peak regulation demand according to the target load curve, and performing SOC recovery according to the peak regulation demand. Calling at least part of capacity of the energy-type energy storage battery energy storage system according to the peak regulation demand to realize peak regulation operation on the power grid system; the real-time frequency modulation step comprises the sub-steps of calling the residual capacity of an energy type energy storage battery energy storage system, a power type energy storage flywheel energy storage system and a photovoltaic system in real time to realize frequency modulation operation on a power grid system; the SOC recovery step comprises the step of realizing SOC recovery operation of the hybrid energy storage system by coordinating power exchange of the hybrid energy storage system and a power grid system; and systematic coupling modeling between multiple types of energy storage resources and multiple power grid service tasks is realized.

The invention relates to the technical field of battery changing cabinets, in particular to a battery changing cabinet battery compartment waterproof group which comprises a cylindrical battery changing cabinet body, a plurality of battery compartment inserting positions are arranged on the outer side of the battery changing cabinet body, and a central cavity is formed in the central axis of the battery changing cabinet body; a waterproof cover structure capable of stretching up and down is arranged on the outer side of the lower part of the battery replacement cabinet body, and a water level detection assembly used for detecting the water level is arranged on the inner lower part of the battery replacement cabinet body; a lifting rope weight structure used for achieving lifting of the waterproof cover structure to protect the battery replacement cabinet body in a waterproof mode is arranged in the center cavity, the water level is accurately monitored in real time through a water level detection assembly, when the water level reaches the set height, the lifting rope weight structure is automatically triggered, the waterproof cover structure is pulled to stretch upwards, and the waterproof cover structure is pulled to stretch upwards. The battery replacing cabinet is wrapped and sealed in all directions, external water is effectively prevented from entering the battery bin and the cabinet body, equipment is prevented from being damaged by water immersion, and the safety performance of the battery replacing cabinet under the wading condition is remarkably improved.

The invention relates to the technical field of micro-grid scheduling and optimization, in particular to a source-grid load storage coordinated micro-grid double-layer economic optimization scheduling method and system, and the method comprises the steps: firstly collecting and sorting the power generation data of distributed resources and the power consumption peak condition; secondly, establishing a source network load-storage side model; then, based on the source network load-storage side model, establishing a double-layer collaborative economic optimization scheduling model of the micro-grid, covering a lower micro-grid layer and an upper power distribution network layer; then, the income of the power distribution network is increased and the cost of the micro-grid is reduced through an iterative updating algorithm; and finally, by effectively scheduling controllable resources, the operation cost is reduced, the peak regulation function is enhanced, the economic benefit of power exchange is improved, the waste of renewable energy sources is reduced, and the utilization rate of the renewable energy sources is improved. Optimized cooperation between the micro-grid and the power distribution network is achieved, and important support is provided for stable and economical operation of a modern electric power system.

The invention discloses a probabilistic power supply guarantee capability assessment method considering new energy uncertainty, which comprises the steps of obtaining historical statistical data of new energy in different time periods, constructing a new energy output probability density function based on the historical statistical data, and determining new energy probability density distribution; time sequence production simulation calculation is carried out based on the source network load storage calculation boundary in the target research area, and a conventional unit output curve, a tie line power exchange curve, a pumped storage energy output curve and a demand side response working curve are obtained; based on the conventional unit output curve, the tie line power exchange curve, the pumped storage energy output curve, the demand side response working curve and the load demand curve, constructing a power demand curve which needs to be satisfied by new energy output; and based on the power demand curve and the new energy probability density distribution which need to be satisfied by the new energy output, obtaining the power gap probability and the power shortage expectation of the target time period, and carrying out supply guarantee capability evaluation based on the power gap probability and the power shortage expectation.

The invention discloses an electric vehicle quick battery replacement system which comprises a quick battery replacement box, an openable box door is arranged in front of the quick battery replacement box, a battery bin is arranged in the quick battery replacement box, and a horizontal sliding table is arranged at the bottom of the battery bin through a sliding rail unit. The horizontal sliding table slides forwards out of the quick-change battery box from the interior of the battery bin under the guidance of the sliding rail unit; a battery mounting platform is fixedly mounted on the horizontal sliding table; a transverse temporary supporting leg storage groove is formed in the bottom of the horizontal sliding table, a temporary supporting leg is transversely arranged in the temporary supporting leg storage groove, and the length of the temporary supporting leg can be adjusted; one end of the temporary supporting leg is hinged to one end in the temporary supporting leg storage groove through a damping hinge piece; the other end of the temporary supporting leg is magnetically connected with the other end of the supporting leg accommodating groove through a magnetic part; and the safety and the reliability are enhanced while the battery replacement efficiency is improved.

A method and system for managing shared energy resources in an energy community, wherein said energy community comprises a plurality of users (20) having one or more items of electrical equipment to be powered. Said energy community defining a DER system and comprising shared batteries (2) for storing electrical energy / power and an apparatus (30) for the production of electrical energy / power, preferably renewable, connected with said batteries (2) so that the electrical energy / power produced can be stored in said batteries (2); said method being characterised in that a control step is carried out in the following manner:discharging into the grid (100) the energy / power stored in the batteries (2) so as to decrease the value of energy / power stored in the batteries (2) (Ebatt) in order to increase the total energy / power exchanged (Egrid_community);charging the batteries (2) by means of said apparatus (30) for the production of electrical energy / power so as to increase the value of energy / power stored in the batteries (2) (Ebatt) in order to lower the total energy / power exchanged (Egrid_community).

1. The name of this design product: Power exchange cabinet for pull-out distribution board. 2. Purpose of this design product: Used for centralized charging and battery replacement of two- and three-wheeled electric vehicles. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The invention provides a battery replacement order generation method and device of a battery replacement station, equipment and a storage medium, and can be applied to the technical field of battery replacement. The method comprises the following steps: continuously monitoring equipment information in a battery swap station after the electric vehicle enters the battery swap station; wherein the equipment information comprises a bin position state of a battery bin position in the battery swap station and driving information of battery driving in the battery swap station; based on the equipment information, monitoring a battery replacement operation stage of the battery replacement station; wherein the battery replacement operation stage comprises a battery unloading stage, a battery storage stage, a battery extraction stage and a battery installation stage; and generating a battery replacement order based on the battery replacement operation stage. The method can give consideration to automatic generation of the battery replacement order in the battery replacement station in the non-automatic battery replacement mode, realizes intelligent and automatic generation of the battery replacement order in the battery replacement station, solves the problem of order loss caused by manual forgetting of additional recording of the battery replacement order in the non-automatic battery replacement mode of the battery replacement station, improves the integrity of order data, and improves the user experience. And the rights and interests of the battery replacement clients are ensured.