A multi-power source collaborative network control method, system, device and medium for mobile emergency power supply

Abstract

The application relates to a mobile emergency power supply oriented multi-power coordinated network construction control method, system, device and medium, which comprises the following steps: acquiring operation state parameters of multiple direct-current energy storage branches and operation states of network construction type converters; performing access effectiveness verification according to the operation state parameters of the multiple direct-current energy storage branches, dynamically constructing and updating an available power supply topology set; for the available power supply branches in the available power supply topology set, determining corresponding power distribution weights based on multi-dimensional state margins, and generating power output instructions of each available power supply branch; controlling the network construction type converters to be AC voltage sources for output, and dynamically and adaptively correcting network construction control parameters of the network construction type converters according to direct-current bus voltage fluctuations, available power supply topology changes and load changes. Through a dynamic topology matrix, a branch state table and consistent cooperation, the application realizes multi-source balance, seamless source switching, parallel cooperation and continuous power supply after a fault of mobile multi-source emergency power supply.

Description

Technical Field

[0001] This invention belongs to the field of mobile power supply control technology, specifically relating to a multi-power source collaborative network control method, system, equipment, and medium for mobile emergency power supply. Background Technology

[0002] Existing mobile emergency power supply technologies typically rely on diesel generator vehicles, large mobile energy storage vehicles, small power supply vehicles, or single-vehicle external discharge devices. Diesel generator vehicles and large energy storage vehicles have large capacities, but their access to old residential areas, narrow roads, back alleys of street shops, and temporary construction sites is limited, and they also have long access distances and deployment times. Small power supply vehicles are easy to move, but their capacity and range are limited. Single-vehicle V2L or V2G external discharge devices can usually only achieve single-vehicle, single-interface, fixed-power output, which is difficult to meet the needs of multiple vehicles, multiple branches, multiple devices in parallel, and long-term relay power supply.

[0003] Existing grid-based energy storage converter control is mostly applied to fixed energy storage power stations, microgrids, or station-type equipment, where the controlled objects and topologies are relatively fixed. This type of solution typically fails to address the following issues in mobile scenarios: First, when electric vehicles or energy storage resources are randomly connected, the controller cannot generate a usable power supply topology in real time based on the BMS, interfaces, pre-charge, contactors, and insulation status. Second, multiple vehicles have significant differences in battery capacity, SOC, temperature, allowable discharge power, and user participation time; simply averaging power distribution can easily lead to overload of small-capacity branches or premature exit of vehicles with low SOC. Third, when switching power sources, exiting due to low battery, or isolating faults, there is a lack of timing control to ensure continuous and stable power switching between the DC bus and AC output. Fourth, when multiple mobile devices are connected in parallel, if a fixed master-slave control is used, failure of the master device or communication anomalies can easily lead to system instability.

[0004] Therefore, the deficiency of existing technologies lies not in the presence of enclosures or interfaces, but in the lack of an invention-level control method for mobile, multi-source random access, and relay power supply conditions. This method needs to be able to convert vehicle status, branch electrical quantities, load power, inter-equipment communication status, and fault status into executable control commands, solving problems related to network stability, multi-source balancing, seamless source switching, parallel coordination, and continuous power supply after faults in low-voltage rapid networking. Summary of the Invention

[0005] To address the problems raised in the background art, a first aspect of the present invention provides a multi-power source collaborative grid-connected control method for mobile emergency power supply, comprising: acquiring operating status parameters of multiple DC energy storage branches and the operating status of a grid-connected converter; verifying the access validity based on the operating status parameters of the multiple DC energy storage branches, and dynamically constructing and updating a set of available power source topologies; determining corresponding power allocation weights for each available power branch within the set of available power source topologies based on its available power supply capacity and multi-dimensional state margins, and generating power output commands for each available power branch based on AC side load demand and the power allocation weights; the multi-dimensional state margins include at least one of energy margin, temperature margin, and safety margin; controlling the grid-connected converter to output AC voltage, and dynamically and adaptively correcting the grid-connected converter's grid-connected control parameters based on at least one of DC bus voltage fluctuations, changes in available power source topologies, and load changes, so as to maintain the stability of AC side output voltage and frequency.

[0006] In some embodiments of the present invention, the dynamic construction and updating of the available power supply topology set includes: sequentially verifying the validity of the connected DC power supply branches, including at least physical connection status, communication handshake status, insulation status, polarity status, voltage range, and pre-charge status; identifying the verified branches as available nodes and recording the branch status information; establishing a topology model representing the conduction relationship between each power supply branch, DC bus, and converter based on the status information of each branch; periodically monitoring the connection, electrical, and fault status of each branch; and updating the topology model based on a preset blocking and admission sequence in response to the access, exit, derating, or fault of any power supply branch, and regenerating the available power supply topology set.

[0007] In some embodiments of the present invention, determining the corresponding power allocation weight based on its available power supply capacity and multi-dimensional state margin includes: for energy storage power branches, determining the upper limit of available power for the branch according to at least one of the equipment limits, environmental limits, and policy limits of each available power branch; determining the available energy of the branch according to the battery capacity, current state of charge, safe cut-off state of charge, conversion efficiency, temperature correction coefficient, and health state correction coefficient of each available power branch; wherein, for branches with unknown battery capacity, the battery capacity is estimated online based on the discharge power time integral and the change in state of charge; calculating the power allocation weight of each branch by comprehensively considering the normalized index of available power, normalized index of available energy, state of charge margin, temperature margin, communication quality, and fault risk margin of each branch, and performing smoothing filtering on the power allocation weight.

[0008] In some embodiments of the present invention, the dynamic adaptive correction of the grid control parameters of the grid-type converter includes: calculating the DC bus voltage deviation, load change rate, and the number of currently available power sources; dynamically limiting and correcting at least one of the virtual inertia coefficient, damping coefficient, active power-frequency droop coefficient, and reactive power-voltage droop coefficient in the grid control based on the DC bus voltage deviation, load change rate, and the number of currently available power sources; and increasing the damping coefficient and suppressing the frequency change rate when a power switching transition process or branch fault clearing is detected, so as to block the transmission of DC-side disturbances to the AC side.

[0009] In some embodiments of the present invention, a relay-type uninterrupted power switching is also included: when the remaining available energy or state of charge of the current power supply branch is lower than a preset threshold or a withdrawal instruction is received, a backup power supply branch is selected and access verification and pre-charging are performed; after the backup power supply branch meets the parallel connection conditions, the output power of the backup power supply branch is controlled to increase at a set rate, while the output power of the original power supply branch is controlled to decrease at a set rate; during the power handover, the power difference during the handover is compensated by an energy buffer unit, and after the power of the original power supply branch decreases to the cut-off threshold, the original power supply branch is disconnected and the available power supply topology set is updated.

[0010] In some embodiments of the present invention, the remaining power supply duration prediction and hierarchical early warning are further included: the remaining power supply duration of the system is calculated based on the total available energy of each branch in the available power supply topology set, the overall system conversion efficiency, and the predicted load power; when the remaining power supply duration is lower than a first early warning threshold, a backup power supply preparation prompt is output; when the remaining power supply duration is lower than a second early warning threshold, a backup power supply access process is triggered; when the remaining power supply duration is lower than a third early warning threshold and there is no available backup power supply, load priority degradation power supply control is triggered.

[0011] In some embodiments of the present invention, fault isolation and degraded operation are also included: real-time monitoring of electrical faults, insulation faults, over-temperature faults and communication interruption status of each branch; when an abnormality is detected in a branch, the output power of the faulty branch is reduced first; if the fault persists, the faulty branch is disconnected and removed from the available power supply topology set; the power of the remaining normal branches is reallocated based on the updated available power supply topology set; if the remaining total power supply capacity is less than the current load demand, a load tiering and shelving strategy is executed.

[0012] In a second aspect of the invention, a multi-power source collaborative grid-connected control system for mobile emergency power supply is provided, comprising: an acquisition module for acquiring operating status parameters of multiple DC energy storage branches and the operating status of a grid-connected converter; a construction module for performing access validity verification based on the operating status parameters of the multiple DC energy storage branches, dynamically constructing and updating a set of available power source topologies; a generation module for determining corresponding power allocation weights for each available power branch within the set of available power source topologies based on its available power supply capacity and multi-dimensional state margins, and generating power output commands for each available power branch based on AC side load demand and the power allocation weights; the multi-dimensional state margins include at least one of energy margin, temperature margin, and safety margin; and a correction module for controlling the grid-connected converter to output AC voltage, and dynamically and adaptively correcting the grid-connected converter's grid-connected control parameters based on at least one of DC bus voltage fluctuations, changes in available power source topologies, and load changes, so as to maintain the stability of AC side output voltage and frequency.

[0013] A third aspect of the present invention provides an electronic device comprising: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the multi-power source collaborative network control method for mobile emergency power supply provided in the first aspect of the present invention.

[0014] In a fourth aspect, the present invention provides a computer-readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the multi-source collaborative network control method for mobile emergency power supply provided in the first aspect of the present invention.

[0015] The beneficial effects of this invention are: 1. Intelligent Resource Access and Topology Self-Awareness: Unlike traditional structural protection schemes, this invention automatically transforms randomly accessed mobile energy storage resources into schedulable nodes through a dynamic topology matrix and branch status table. The system can identify power supply access, disconnection, derating, and fault status in real time, eliminating manual configuration and debugging, and significantly improving the integrity and deployment efficiency of the solution.

[0016] 2. Multidimensional adaptive allocation and network-level stability control: At the power allocation level, the branch weight is calculated by comprehensively considering SOC, SOH, temperature, communication quality and user reserved power to avoid overload or premature disconnection caused by the equal distribution strategy; at the stability control level, VSG network technology and parameter adaptive correction are adopted to effectively isolate DC-side disturbances and ensure rigid support of voltage and frequency under off-grid conditions.

[0017] 3. Seamless power switching and decentralized collaborative architecture: Innovative relay-style uninterrupted power switching control achieves zero-aware switching on the load side through pre-access, ramp takeover and energy buffering; adopts multi-device consistent collaborative control to replace the fixed master-slave architecture, supports plug-and-play equipment, automatic power sharing and autonomous reconfiguration after failure, and completely eliminates the risk of single point of failure of the host.

[0018] 4. Proactive operation and maintenance scheduling and high fault-tolerant supply guarantee system: Establish a remaining time prediction and hierarchical early warning mechanism, implement backup power supply according to load importance and schedule backup resources in advance; combine automatic isolation of faulty branches and topology reconfiguration technology to ensure continuous operation of the system under single point of failure, and comprehensively improve long-term emergency supply guarantee capability and fault tolerance level. Attached Figure Description

[0019] Figure 1 This is a basic flowchart of a multi-power source cooperative network control method for mobile emergency power supply in some embodiments of the present invention. Figure 2 This is a circuit diagram of a multi-power source cooperative network control method for mobile emergency power supply in some embodiments of the present invention; Figure 3 This is a schematic diagram of the structure of a multi-power cooperative network control system for mobile emergency power supply in some embodiments of the present invention; Figure 4 This is a schematic diagram of the structure of an electronic device in some embodiments of the present invention. Detailed Implementation

[0020] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0021] Example 1 refer to Figure 1 and Figure 2In a first aspect, the present invention provides a multi-power source collaborative grid-based control method for mobile emergency power supply, comprising: S100. acquiring the operating status parameters of multiple DC energy storage branches and the operating status of a grid-type converter; S200. verifying the access validity based on the operating status parameters of the multiple DC energy storage branches, and dynamically constructing and updating a set of available power source topologies; S300. for each available power source branch in the set of available power source topologies, determining the corresponding power allocation weight based on its available power supply capacity and multi-dimensional state margin, and generating a power output command for each available power source branch based on the AC side load demand and the power allocation weight; the multi-dimensional state margin includes at least one of energy margin, temperature margin, and safety margin; S400. controlling the grid-type converter to output AC voltage, and dynamically and adaptively correcting the grid-based control parameters of the grid-type converter based on at least one of DC bus voltage fluctuation, available power source topology changes, and load changes, so as to maintain the stability of AC side output voltage and frequency.

[0022] In step S100 of some embodiments of the present invention, the operating status parameters of multiple DC energy storage branches and the operating status of the grid-type converter are obtained. Specifically, the interface connection status, high voltage interlock status, pre-charge status, contactor status, insulation status, BMS communication status, battery voltage, battery current, SOC, SOH, temperature, allowable discharge power, maximum discharge current, fault code, DC bus voltage, branch current, AC side voltage, AC side current, frequency, active power, reactive power, load change rate, and inter-equipment communication status of each power supply branch are collected at set intervals.

[0023] The collected data undergoes timestamp alignment, outlier removal, validity assessment, and amplitude limiting to form a state vector for control calculations. .in: , in, This represents the number of power supply branches that can currently participate in scheduling; Indicates a time index; Indicates the first The branch state vector of the power source; Indicates the DC bus voltage. Indicates DC bus current. Indicates the AC side voltage. Indicates the alternating current. Indicates the AC side frequency. Indicates active power load. Indicates reactive load. Indicates the communication status between devices. This indicates a system-level fault state. And: , in, Indicates the interface connection status. This indicates a high-voltage interlock status. Indicates pre-charge status. Indicates the contactor status. Indicates the state of insulation. Represents the voltage of the i-th power supply. This represents the current of the i-th power supply. Indicates the state of charge. Indicates health status. Indicates temperature. Indicates the allowable discharge power of the BMS. Indicates the maximum permissible discharge current. Indicates a fault sign. This represents the communication quality. The aforementioned state vector serves as a unified input for subsequent access verification, topology matrix updates, available power and energy calculations, network parameter corrections, and fault degradation assessments.

[0024] In step S200 of some embodiments of the present invention, the dynamic construction and updating of the available power topology set includes: S201. Perform validity checks on the connected DC power supply branches in sequence, including at least the physical connection status, communication handshake status, insulation status, polarity status, voltage range, and pre-charge status. Specifically, when a new electric vehicle, energy storage module, or other DC power source is detected, the controller sequentially performs mechanical connection confirmation, communication handshake, BMS discharge permission confirmation, insulation detection, polarity detection, open-circuit voltage range judgment, pre-charge condition judgment, and branch protection status judgment. If any condition is not met, the branch is marked as prohibited from operation, and the specific reason is output; if all conditions are met, the controller assigns a node number to the branch and generates a branch status table. The branch status table includes at least the power source type, voltage level, SOC, allowable discharge power, available energy, estimated available duration, communication quality, priority, contactor status, fault status, and participation in dispatching flags.

[0025] S202. Identify the verified branches as available nodes and record the branch status information. Based on the status information of each branch, establish a topology model representing the conduction relationship between each power supply branch, DC bus and converter. Specifically, a real-time topology matrix is ​​generated based on the branch status table. Topological matrix The elements in Represents the set of nodes corresponding to the rows and columns of the matrix. ,in For the i-th power supply branch, For the corresponding DC / DC channels, For DC bus, As an energy buffer unit, For grid-type DC / AC converters, For AC load, For the rth parallel mobile power supply device; Represents a node With nodes The two are in a state where conduction or effective communication is allowed. This indicates that the connection is not established or the system is not operational. This indicates that the connection is blocked due to a fault.

[0026] S203. Periodically monitor the connection, electrical and fault status of each branch, and in response to the access, exit, derating or fault of any power branch, update the topology model based on the preset blocking and access timing, and regenerate the set of available power topologies.

[0027] Specifically, the branch status table is read in each sampling period, and if a detection is found... , , , , or If changes occur, updates should be performed in the following order: first, block the faulty branch; then, confirm the branch that can be put into operation; and finally, update the connection relationship between the bus and the converter. .when When changes occur, the controller redetermines the set of available branches. ,based on Recalculate , and and in accordance with Power redistribution is performed, where... Indicates the current time t No. i After considering its own conditions (such as fault blocking, isolation, etc.), the maximum active power that each branch can actually output to the DC bus is... Indicates the first i Available energy of the branch, Indicates the first i Power allocation weights for each branch This represents the sum of power allocation weights for all branches; simultaneously, it adjusts the virtual inertia, damping, and droop coefficients in network control based on the number of available power sources, DC bus deviation, and power switching flags; if the original power supply branch is marked as withdrawn or faulty and a backup branch exists, a relay power switching strategy is initiated; otherwise, a load priority degraded power supply strategy is adopted. This topology identification process does not rely on fixed wiring numbers, making it suitable for random multi-vehicle access and plug-and-play operation in the field.

[0028] In step S300 of some embodiments of the present invention, determining the corresponding power allocation weight based on its available power supply capacity and multi-dimensional state margin includes: S301. For energy storage power supply branches, determine the upper limit of available power for the branch based on at least one of the equipment limits, environmental limits, and policy limits of each available power supply branch; S302. Determine the available energy of each available power branch based on its battery capacity, current state of charge, safe cut-off state of charge, conversion efficiency, temperature correction factor, and health status correction factor. Among them, for branches with unknown battery capacity, the battery capacity is estimated online based on the discharge power time integral and the change in state of charge. S303. By combining the normalized index of available power, normalized index of available energy, state of charge margin, temperature margin, communication quality and fault risk margin of each branch, the power allocation weight of each branch is calculated, and the power allocation weight is smoothed and filtered.

[0029] The controller further calculates the scheduling weight of each power supply. For those in situations where operation is prohibited, fault lockout, communication failure, or... The side road, For schedulable branches, first calculate the normalized index. , , , , For communication quality coefficient, For fault risk margin, For the vehicle's estimated departure time margin, Here is the power priority coefficient, where To prevent division by zero of small constants, where, Indicates the percentage of available power. Indicates the percentage of available energy. Represents the SOC margin coefficient. Indicates the temperature safety margin. This is the upper limit of temperature. This is the safety reference temperature.

[0030] The scheduling weight is calculated using the following formula: , each The coefficients are non-negative weights and sum to 1, and can be configured based on the supply guarantee task's preference for capacity, power, or high reliability. The calculated... Further lower limit suppression, upper limit amplitude limiting, and smoothing filtering are applied to avoid abrupt changes in branch power references. This prevents the allocation of the same power to vehicles with different capabilities, resolving the issue of unreasonable power sharing when multiple vehicles are connected.

[0031] Operating mode determination: Based on the external power grid status, load demand, DC bus status, number of power sources, remaining power supply duration, and dispatch instructions, the controller selects from the following modes: off-grid grid connection mode, grid-connected power control mode, grid-connected support mode, black start mode, relay power switching mode, parallel coordination mode, or fault degradation mode. In the black start scenario, the controller first selects a branch that meets the voltage and energy conditions to establish a DC bus, and then starts the grid-connected converter to form AC voltage. In the off-grid power supply scenario, the controller prioritizes the stability of AC side voltage frequency. In the grid-connected support scenario, the controller can perform power factor regulation, three-phase imbalance mitigation, or power smoothing control.

[0032] In step S400 of some embodiments of the present invention, the grid-type converter is controlled to output AC voltage, and the grid control parameters of the grid-type converter are dynamically and adaptively modified according to at least one of DC bus voltage fluctuation, available power supply topology change and load change, so as to maintain the stability of AC side output voltage and frequency.

[0033] The dynamic adaptive correction of the grid-type converter's grid control parameters includes: S401. Calculate the DC bus voltage deviation, load change rate, and the number of currently available power sources; Specifically, in off-grid / grid-connected mode, the controller controls the DC / AC power conversion unit as a voltage source. VSG (Virtual Synchronous Generator) control is preferably used, allowing the converter to simulate the inertia, damping, and voltage regulation characteristics of a synchronous generator. Active frequency control can be implemented using... ,in For virtual inertia, The damping coefficient is... For the output angular frequency, The rated angular frequency, For useful reference, This represents the actual active power output. Reactive power voltage control can be achieved using... ,in For voltage reference, Rated voltage, This is the reactive voltage droop factor. This represents the actual reactive power. For reference only.

[0034] Unlike stationary energy storage scenarios, this invention dynamically corrects the virtual inertia based on DC bus voltage fluctuations, the number of connected power sources, load change rate, and power switching status. Damping coefficient And the droop factor. The controller first calculates the DC bus voltage deviation. That is, to calculate the current actual voltage of the DC bus. Udc Deviation from rated reference voltage Udc_ref The relative deviation; Load change rate Number of available power supplies and source switching mark , This indicates that the system is in a transitional phase, either through a power source replacement or a fault isolation process. This indicates normal operation, with a total load power. P load The rate of change over time (derivative) divided by the system's rated power P rated .

[0035] S402. Based on the DC bus voltage deviation, load change rate and number of available power sources, dynamically limit and correct at least one of the virtual inertia coefficient, damping coefficient, active-frequency droop coefficient and reactive-voltage droop coefficient in the grid control. Specifically, it is calculated using the following formula: , , , , in Represents the amplitude limiting function. The active power-frequency droop factor is... The reactive power-voltage droop factor is used for each... This is a preset correction factor. This indicates the DC bus voltage deviation. Indicates the rate of change of load; Indicates the number of available power supplies; Represents the virtual inertia coefficient. Indicates the virtual damping coefficient. These represent the initial settings of each control parameter under rated operating conditions. , , , This indicates the safe allowable range (maximum and minimum value interval) for each parameter. k p , k n , k u , k d1 , k d2 , k d3 , k m , k q This represents the sensitivity coefficient that indicates the weight of the influence of each state variable on the control parameter. Q , Q ref , Q rated These represent the actual reactive power output of the branch, the reactive power reference value (usually given by the upper-level dispatch or voltage outer loop), and the rated reactive power capacity of the equipment, respectively.

[0036] S403. When a power switching transition or branch fault clearing is detected, increase the damping coefficient and suppress the rate of frequency change to prevent DC-side disturbances from being transmitted to the AC side.

[0037] Specifically, when a relay power supply or branch fault isolation is detected, the controller temporarily increases the damping coefficient and limits the rate of frequency change to suppress the transmission of DC-side disturbances to the AC side; when the load increases stepwise, the controller adjusts according to the available power and energy buffer status of the DC branch. An upward slope is used to prevent the busbar from falling excessively.

[0038] The controller is based on the load power. and the weight of each branch Generate branch power reference And for each path Limiting and slope restrictions are implemented. If a vehicle on a particular route experiences BMS power throttling, SOC falling below a threshold, temperature rise, or communication quality degradation, the controller reduces the weight of that route and smoothly transfers power to other available routes. If the total available power is lower than the load demand, the controller enters a load priority power supply strategy, prioritizing power supply to critical loads while outputting prompts or control commands to reduce non-critical loads.

[0039] To maintain consistent and coordinated control across multiple devices, when two or more mobile emergency power supply devices are operating in parallel, each device's controller periodically exchanges its local frequency, voltage, active power, reactive power, SOC weighted margin, available power, communication quality, and fault status. The i-th device, based on the communication adjacency matrix... Identify communicable neighbors, among which This indicates that communication between the i-th and j-th devices is valid. This indicates that the communication is invalid.

[0040] The i-th device calculates the normalized active power contribution. and reactive power sharing The local frequency reference and voltage reference are corrected according to the following formula: , ; In the above formula, Indicates the first i The actual active power output of the equipment Pi This accounts for a portion of its currently available active power capacity. P avail The ratio (load rate). Indicates the first i The load rate of the neighboring devices; Indicates the first i Actual reactive power of the equipment Q i It accounts for its current available reactive power capacity Q avail_i proportion, Indicates the first i The proportion of reactive power capacity of the neighboring devices; These represent the local and neighbor frequencies, respectively. These represent the voltage of this machine and the voltage of its neighbor, respectively. Indicates the frequency correction amount. Indicates the voltage correction amount; These are the coefficients of the corresponding parameters; To express summation; Simultaneously press: Corrected active power reference, in which This represents the remaining margin calculated for this machine based on the SOC and available energy of each branch. The average margin of the neighbors. Indicates the discrete time step or number of iterations; This indicates the current active power reference value; Indicates the power sharing correction gain; Indicates the SOC equalization correction gain; This indicates a summation.

[0041] The aforementioned corrections, after being limited by amplitude and slope, are input into the network control module, causing the frequency, voltage, and power sharing of the parallel system to gradually converge. This consistent coordination does not require a fixed host; if any device exits, the remaining devices can recalculate their weights and maintain power supply.

[0042] In some embodiments of the present invention, a relay-type uninterrupted power supply replacement is also included: S501. When the remaining available energy or state of charge of the current power supply branch is lower than the preset threshold or a disconnection command is received, select the backup power supply branch and perform access verification and pre-charging. Specifically, when the remaining power supply duration of the current power source is lower than the threshold, the SOC is lower than the threshold, the BMS requests to exit, a branch circuit fails, or the dispatcher requests a vehicle replacement, the controller initiates a relay power supply switch. The controller first selects the backup power source and performs access verification and pre-charging; S502. After the backup power supply branch meets the parallel connection conditions, control the output power of the backup power supply branch to increase at a set rate, and at the same time control the output power of the original power supply branch to decrease at a set rate. Specifically, after the backup branch meets the parallel connection conditions, the controller increases the power of the backup branch according to the set slope, while reducing the power of the original branch. S503. During power handover, the transient power difference during handover is compensated by an energy buffer unit, and the original power supply branch is disconnected and the available power supply topology set is updated after the power of the original power supply branch drops to the cut-off threshold.

[0043] Specifically, the energy buffer unit compensates for transient differences during power handover; the network control module synchronously adjusts virtual inertia, damping, and current limiting to maintain stable AC side voltage frequency; after the original branch power decreases to the exit threshold, the controller disconnects the original branch contactor and updates the topology matrix.

[0044] In some embodiments of the present invention, remaining power supply duration prediction and tiered early warning are also included: S601. Calculate the remaining power supply duration of the system based on the total available energy of each branch within the available power supply topology set, the overall system conversion efficiency, and the predicted load power; S602. When the remaining power supply duration is lower than the first warning threshold, output a backup power supply preparation prompt; S603. When the remaining power supply duration is lower than the second warning threshold, trigger the backup power supply access process; S604. When the remaining power supply duration is lower than the third warning threshold and there is no available backup power supply, trigger load priority degradation power supply control.

[0045] Specifically, the controller according to Overall conversion efficiency and predicted load Calculate the remaining power supply duration . It can be determined jointly by the current load, the historical load moving average, the load change rate, and the scenario load model. When When the temperature drops below the first warning threshold, a prompt is made to prepare a backup power source; when it drops below the second warning threshold, the process of connecting a backup vehicle or energy storage is initiated; when the temperature drops below the third threshold and there is no backup power source, a backup power supply strategy is implemented. The first warning threshold can preferably be set to 30 minutes, but it can also be adaptively adjusted according to the arrival time of the backup power source, the wiring time, and the importance of the load.

[0046] In some embodiments of the present invention, fault isolation and degraded operation are also included: S701. Real-time monitoring of electrical faults, insulation faults, over-temperature faults and communication interruption status of each branch; S702. When an abnormality is detected in a branch, the output power of the faulty branch is reduced first. If the fault persists, the faulty branch is disconnected and removed from the available power supply topology set; S703. The power of the remaining normal branches is reallocated based on the updated available power supply topology set; if the remaining total power supply capacity is less than the current load demand, a load grading and shelving strategy is executed.

[0047] Specifically, when overvoltage, undervoltage, overcurrent, short circuit, insulation abnormality, reverse connection, overtemperature, BMS discharge failure, communication interruption, or contactor malfunction is detected, the controller first reduces the power of the faulty branch. If the fault persists, the branch is disconnected and removed from the topology matrix. The controller then recalculates the available power and branch weights, and normal branches continue to bear the load; if the remaining capacity is insufficient, power is supplied according to load priority. This strategy avoids a single power supply failure causing a system-wide shutdown.

[0048] In one specific embodiment, three electric vehicles are connected to a mobile emergency power supply unit via three DC / DC channels. The controller reads the SOC, allowable discharge power, terminal voltage, temperature, and BMS status of each of the three vehicles, generates a branch status table, and calculates the scheduling weights. When the load power is 90kW, the controller does not evenly allocate 30kW to each channel, but rather distributes power based on the available power and available energy of each vehicle; when the SOC of one vehicle falls below a threshold, the controller gradually reduces the output of that branch, smoothly transferring power to the other vehicles.

[0049] In another embodiment, if the remaining power supply time for the first vehicle is less than 30 minutes, the controller issues a relay prompt. After the second vehicle connects, the controller completes communication handshake, insulation detection, polarity detection, and pre-charging. It then controls the second DC / DC module to increase its output from 0kW at a set slope, while simultaneously controlling the first DC / DC module to reduce its power and disconnect. During the power switching process, the grid-connected converter maintains the low-voltage AC side voltage and frequency, and no perceptible short-term power outage occurs on the load side.

[0050] In another embodiment, two mobile emergency power supply units operate in parallel. The two units exchange frequency, voltage, active power, reactive power, and SOC weighted margin to correct their local frequency and power references, respectively. When one unit derating due to a fault, the other unit smoothly increases its output based on consistent coordination results; if the total power supply capacity is insufficient, the controller degrades power supply according to load priority.

[0051] Example 2 refer to Figure 3 In a second aspect, the present invention provides a multi-power source collaborative grid-connected control system 1 for mobile emergency power supply, comprising: an acquisition module 11, used to acquire the operating status parameters of multiple DC energy storage branches and the operating status of a grid-connected converter; a construction module 12, used to perform access validity verification based on the operating status parameters of the multiple DC energy storage branches, and dynamically construct and update a set of available power source topologies; a generation module 13, used to determine the corresponding power allocation weight for each available power branch within the set of available power source topologies based on its available power supply capacity and multi-dimensional state margin, and generate power output commands for each available power branch according to AC side load demand and the power allocation weight; the multi-dimensional state margin includes at least one of energy margin, temperature margin, and safety margin; and a correction module 14, used to control the grid-connected converter to output AC voltage, and dynamically and adaptively correct the grid-connected converter's grid-connected control parameters according to at least one of DC bus voltage fluctuation, available power source topology changes, and load changes, so as to maintain the stability of AC side output voltage and frequency.

[0052] Example 3 refer to Figure 4 In a third aspect of the invention, an electronic device is provided, comprising: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the multi-power source cooperative network control method for mobile emergency power supply according to the first aspect of the invention.

[0053] Electronic device 500 may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 502 or a program loaded from storage device 508 into random access memory (RAM) 503. The RAM 503 also stores various programs and data required for the operation of electronic device 500. The processing unit 501, ROM 502, and RAM 503 are interconnected via bus 504. An input / output (I / O) interface 505 is also connected to bus 504.

[0054] Typically, the following devices can be connected to I / O interface 505: input devices 506 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 507 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 508 including, for example, hard disks; and communication devices 509. Communication device 509 allows electronic device 500 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 4 An electronic device 500 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively. Figure 4 Each box shown can represent a device or multiple devices as needed.

[0055] Specifically, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 509, or installed from a storage device 508, or installed from a ROM 502. When the computer program is executed by a processing device 501, it performs the functions defined in the methods of embodiments of this disclosure. It should be noted that the computer-readable medium described in embodiments of this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In embodiments of this disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In embodiments of this disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0056] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device. The aforementioned computer-readable medium carries one or more computer programs, which, when executed by the electronic device, cause the electronic device to: Computer program code for performing the operations of embodiments of this disclosure can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, C++, and Python—and conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0057] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0058] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multi-source collaborative network control method for mobile emergency power supply, characterized in that, include: Obtain the operating status parameters of multiple DC energy storage branches and the operating status of the grid-type converter; The access validity is verified based on the operating status parameters of the multiple DC energy storage branches, and the set of available power supply topologies is dynamically constructed and updated. For each available power branch within the available power topology set, a corresponding power allocation weight is determined based on its available power supply capacity and multi-dimensional state margin, and a power output command for each available power branch is generated according to the AC side load demand and the power allocation weight; the multi-dimensional state margin includes at least one of energy margin, temperature margin and safety margin. The grid-type converter is controlled to output AC voltage, and the grid control parameters of the grid-type converter are dynamically and adaptively modified according to at least one of DC bus voltage fluctuations, changes in available power supply topology, and load changes, so as to maintain the stability of AC side output voltage and frequency.

2. The multi-source collaborative grid control method for mobile emergency power supply according to claim 1, characterized in that, The dynamic construction and updating of the available power topology set includes: The validity of each connected DC power supply branch is verified sequentially, including at least the physical connection status, communication handshake status, insulation status, polarity status, voltage range, and pre-charge status. The verified branches are identified as available nodes and their status information is recorded. Based on the status information of each branch, a topology model is established to represent the conduction relationship between each power supply branch, DC bus and converter. The connection, electrical and fault status of each branch is periodically monitored. In response to the access, exit, derating or fault of any power branch, the topology model is updated based on the preset blocking and access timing, and the available power topology set is regenerated.

3. The multi-source collaborative grid control method for mobile emergency power supply according to claim 1, characterized in that, The determination of the corresponding power allocation weight based on its available power supply capacity and multi-dimensional state margin includes: For energy storage power branches, the upper limit of available power for the branch is determined based on at least one of the equipment limits, environmental limits, and policy limits for each available power branch. The available energy of each available power branch is determined based on its battery capacity, current state of charge, safe cut-off state of charge, conversion efficiency, temperature correction factor, and health status correction factor. For branches with unknown battery capacity, the battery capacity is estimated online based on the discharge power time integral and the change in state of charge. By combining the normalized index of available power, normalized index of available energy, state of charge margin, temperature margin, communication quality and fault risk margin of each branch, the power allocation weight of each branch is calculated, and the power allocation weight is then subjected to smoothing filtering.

4. The multi-source collaborative network control method for mobile emergency power supply according to claim 1, characterized in that, The dynamic adaptive correction of the grid-type converter's grid control parameters includes: Calculate the DC bus voltage deviation, load change rate, and the number of currently available power sources; Based on the DC bus voltage deviation, load change rate and the number of currently available power sources, dynamic limiting correction is applied to at least one of the virtual inertia coefficient, damping coefficient, active-frequency droop coefficient and reactive-voltage droop coefficient in the grid control. When a power switching transition or branch fault clearing is detected, the damping coefficient is increased and the frequency change rate is suppressed to prevent DC-side disturbances from being transmitted to the AC side.

5. The multi-source collaborative grid control method for mobile emergency power supply according to claim 1, characterized in that, It also includes relay-style uninterrupted power switching: When the remaining available energy or state of charge of the current power supply branch is lower than the preset threshold or a disconnection command is received, a backup power supply branch is selected and access verification and pre-charging are performed. After the backup power supply branch meets the parallel connection conditions, control the output power of the backup power supply branch to increase at a set rate, and at the same time control the output power of the original power supply branch to decrease at a set rate. During power handover, the transient power difference is compensated by an energy buffer unit, and the original power supply branch is disconnected and the available power topology set is updated after the power of the original power supply branch drops to the cut-off threshold.

6. The multi-source collaborative grid control method for mobile emergency power supply according to claim 1, characterized in that, It also includes remaining power supply duration prediction and tiered early warning: Based on the total available energy of each branch within the available power supply topology set, the overall system conversion efficiency, and the predicted load power, the remaining power supply time of the system is calculated. When the remaining power supply duration is lower than the first warning threshold, a backup power supply preparation prompt is output. When the remaining power supply duration is lower than the second warning threshold, the backup power supply access process is triggered; When the remaining power supply duration is lower than the third warning threshold and there is no available backup power, load priority downgrade power supply control is triggered.

7. The multi-source collaborative grid control method for mobile emergency power supply according to claim 1, characterized in that, This also includes fault isolation and degraded operation: Real-time monitoring of electrical faults, insulation faults, over-temperature faults, and communication interruption status in each branch circuit; When an abnormality is detected in a branch, the output power of the faulty branch is reduced first. If the fault persists, the faulty branch is disconnected and removed from the set of available power supply topologies. The power of the remaining normal branches is redistributed based on the updated set of available power topologies; If the remaining total power supply capacity is less than the current load demand, then a load shedding strategy will be implemented.

8. A multi-power source collaborative grid control system for mobile emergency power supply, characterized in that, include: The acquisition module is used to acquire the operating status parameters of multiple DC energy storage branches and the operating status of the grid-type converter; The construction module is used to verify the access validity based on the operating status parameters of the multiple DC energy storage branches, and to dynamically construct and update the set of available power supply topologies. The generation module is used to determine the corresponding power allocation weight for each available power branch within the available power topology set based on its available power supply capacity and multi-dimensional state margin, and to generate power output commands for each available power branch according to the AC side load demand and the power allocation weight; the multi-dimensional state margin includes at least one of energy margin, temperature margin and safety margin. The correction module is used to control the grid-type converter to output AC voltage and dynamically and adaptively correct the grid control parameters of the grid-type converter according to at least one of DC bus voltage fluctuations, changes in available power supply topology, and load changes, so as to maintain the stability of AC side output voltage and frequency.

9. An electronic device, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the multi-power source collaborative network control method for mobile emergency power supply as described in any one of claims 1 to 7.

10. A computer-readable medium having a computer program stored thereon, characterized in that, in, When the computer program is executed by the processor, it implements the multi-power source collaborative network control method for mobile emergency power supply as described in any one of claims 1 to 7.

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