1330 results about "Stream control" patented technology

The invention discloses a fault ride-through hierarchical control method for a network-constructed converter, and the method comprises the steps: introducing a virtual resistor formed by fault current negative feedback into the voltage and current inner loop control of the network-constructed converter based on VSG control through a current inner loop dynamic amplitude limiting control layer after the converter enters a fault ride-through state, the size of the virtual resistor is adjusted in real time along with the amplitude of the fault current so as to carry out dynamic current limiting control on the virtual resistor; and the power outer loop dynamic compensation control layer dynamically adjusts an active power instruction value and a reactive power instruction value of the network construction type converter based on VSG control during the fault ride-through period according to the voltage drop degree of the power grid after the converter enters the fault ride-through state. And respectively performing active-frequency control and reactive-voltage control based on the active power instruction value and the reactive power instruction value. In addition, the method also comprises a state coupling and parameter self-adaption module. According to the method, the GFM converter can have better dynamic performance in the fault recovery stage.

The invention discloses a hydraulic system throttling control method based on a hydraulic control one-way valve, which relates to the technical field of throttling control, and comprises the following steps of: in an initialization stage of starting a hydraulic system, setting an optimal initial throttling opening for a throttling valve based on flow data of current oil; the method comprises the following steps: performing high-frequency real-time acquisition on flow state data of oil through a sensor deployed at the upstream of a throttling area, and establishing a set of flow state data system based on a time sequence; continuously collected flow state data are divided according to time windows, and an analysis set of oil flow data is constructed. According to the method, the dynamic flowing state of oil is monitored and deeply analyzed in real time, the load state is intelligently predicted in combination with a support vector machine model, and the opening degree of the throttling valve is adjusted in real time; the problems that in the prior art, response of a throttling control strategy to a high-load working condition is delayed, and oil temperature rise and viscosity abnormal reduction are caused by serious local pressure loss of a throttling area are effectively solved.

According to the PCIe retimer, the PCIe system and the electronic equipment, a decoding and descrambling module carries out decoding and descrambling processing on output code streams of upstream equipment and outputs the code streams backwards, and when a low-delay triggering condition is met, a control module modifies second-class code streams in the decoding and descrambling code streams into first-class code streams and outputs the first-class code streams backwards; the de-skew module performs de-skew processing on the received code stream and outputs the code stream backwards; the coding and scrambling module carries out coding and scrambling processing on the received code stream and backwards outputs the code stream subjected to coding and scrambling processing; and the control module controls the low-delay access to serve as the current working access after determining that the low-delay access is aligned with the main access. According to the embodiment of the invention, the state machine of the downstream device does not perform state hopping due to receiving the preset number of second type code streams, so that the state jump time of the upstream device and the downstream device can be dragged, the purpose of dragging the state machine is achieved, and the PCIe retimer has more time to perform path switching without error codes.

The invention relates to a rectification harmonic suppression control method for a double reverse star transformer. The method comprises the following steps: establishing a rectifier bridge arm phase characteristic parameter table in a control platform, and recording a theoretical conduction phase, winding attribution and waveform synchronization characteristics of a bridge arm; in the operation process of the rectification control unit, the output current of a transformer and the conduction state of a bridge arm are collected, and a rectification operation state data set is generated; and calculating bridge arm conduction phase deviation, and analyzing a corresponding harmonic component to obtain a mapping relation between a bridge arm state and harmonic distribution. And judging whether the current bridge arm configuration meets the phase coverage requirement of the target rectification pulse number or not according to the mapping result, and if not, selecting a standby bridge arm group with a preset phase difference and generating a switching instruction. And the rectification control unit responds to the instruction to lock the current bridge arm conduction path and release the target bridge arm group so as to realize bridge arm resource dynamic reconstruction and rectification performance optimization. Harmonic waves can be effectively suppressed, and the topology adaptability and the output quality of the rectification system are improved.

The invention discloses a TSN scheduling optimization method and device based on flow sensing autonomous learning, equipment and a medium. The method comprises the following steps: deploying a lightweight flow detection module in a switch or a router, and after a controller receives a data request, automatically identifying a newly arrived unknown service flow by using the lightweight flow detection module, and judging whether the newly arrived unknown service flow is a periodic TT flow or an unpredictable burst flow; the controller performs classification management on the identified service flow types, collects topological information and flow requirements of the whole network and issues the topological information and the flow requirements to the terminal nodes through a network management interface; the controller constructs an intelligent queue scheduling task based on the collected network topology information and traffic demand and converts the task into a Markov decision process MDP, network resources, queue states and priorities are used as a state space, a scheduling strategy is used as an action space, a reward function is designed in combination with throughput and delay indexes, and an intelligent queue scheduling task is obtained. Driving a dynamic environment through real-time data and training a DRL model; an enhanced queue scheduling mechanism Pro-CQF is adopted, different priority labels are configured according to classified flow types, and then mixed flow scheduling is carried out; the controller periodically collects time delay, packet loss rate and end-to-end transmission delay indexes and feeds back the indexes to the DRL model, and a scheduling strategy is updated online. According to the method, the traffic sensing and scheduling efficiency is greatly improved in a network environment in which multiple service flows coexist and end-side equipment functions are different, and the reliability and the expandability of the TSN in industrial Internet of Things, edge computing and other high-real-time application scenes are remarkably enhanced.

The present invention relates to a system for implementing large-scale FIFO data processing based on DDR, comprises ingress asynchronous clock domain FIFO; burst read and write data block chain table, for writing data block chaining table and reading data block chaining table by setting of data bit width and data block length; DDR4 AXI interface for interacting with the flow control state machine and the burst read and write chain table; egress asynchronous clock domain FIFO; flow control state machine, used for data flow control to monitor writes and reads of data streams to the ingress asynchronous clock domain FIFO, DDR4 AXI interface and egress asynchronous clock domain FIFO. The present invention also relates to a method for implementing DDR-based large-scale FIFO data processing using DDR. By adopting the system, method, device, processor and its computer-readable storage medium for implementing large-scale FIFO data processing based on DDR of the present invention, the time utilization rate is improved, the data acquisition efficiency is effectively improved, and the FIFO storage depth is increased to ensure continuous data acquisition for a longer period of time.

The invention relates to the technical field of power supply starting, in particular to a power supply starting system with ultra-large capacitive load energy and a starting control method.The power supply starting system comprises a power supply body and a load module, the output end of the power supply body is coupled with the load module, and the power supply body comprises a constant-current control module; the detection module is used for detecting output current in a power supply starting process and transmitting a detection result to the MCU control unit; the MCU is used for generating a PWM (Pulse Width Modulation) signal according to the received output current signal so as to control the starting current to be constant; the PWM driving module is used for adjusting the output current of the power supply according to the PWM signal generated by the MCU control unit, and the error amplifier is used for amplifying the output current signal detected by the constant current control module and transmitting the output current signal to the MCU control unit; the current sensor is used for detecting the output current of the power supply in real time; and the MOSFET switch is used for adjusting the output current of the power supply according to the PWM signal. According to the invention, the problem of restarting due to overcurrent protection caused by a large capacitive load in a power supply starting process is solved.

The invention discloses an intelligent traffic light coordination control method and system for traffic flow optimization, and relates to the technical field of intelligent control. The method comprises the following steps: collecting traffic flow data of lanes in all directions in a target area in real time through heterogeneous sensor networks deployed at all intersections; identifying the traffic flow data to obtain tidal traffic flow features; performing dynamic intensity evaluation based on the tidal traffic flow characteristics to obtain a tidal direction intensity index; a multi-agent cooperative network is constructed, and a continuous intersection green light phase offset sequence is generated based on cooperative calculation of the multi-agent cooperative network; and when the tide direction intensity index is greater than a preset threshold value, inputting the continuous intersection green light phase offset sequence into a traffic signal lamp control system so as to start a tide green wave mode. The technical problems that in the prior art, traffic flow control is not flexible enough, and traffic lights cannot be intelligently adjusted according to the traffic flow condition are solved, and the technical effects of improving the road passing efficiency and reducing congestion are achieved.

According to the data access method and device based on the software-defined boundary, the software-defined boundary controller and the micro-service gateway are combined and independently run outside the gateway, safety protection of continuous evolution can be achieved in an infinite extension mode, and the safety of the micro-service gateway is improved. And more security support is provided for the system under the micro-service architecture. Through establishment of black and white list verification, device authentication, user identity authentication and user authority authentication, only legal devices and users can access resources in a multi-level manner. And after the verification is passed, the access request is subjected to flow limiting control, so that network congestion and resource abuse caused by excessive requests are prevented. And comparing the access feature data with the behavior feature data by using a comparison engine, and detecting and preventing potential attack behaviors and risk operations in time. The risk level of the access request is calculated through the pre-trained risk assessment model, the high-risk access flow is intercepted and recorded, and potential threats are effectively controlled.

The invention discloses a network construction type energy storage transient performance improving method and system, and the method comprises the steps: dividing a maximum current threshold value of an energy storage current converter in a transient state into a current under a dq coordinate system, calculating the total impedance required by current limiting through combining the component of the A-phase current output by the energy storage current converter on a d axis and the voltage difference between the two ends, setting the virtual impedance, and carrying out the current limiting through the virtual impedance. Virtual impedance is introduced into a current control link to realize over-current limitation; and the current control link outputs voltage, and the output voltage acts on the VSG power control link to realize power angle control. The system comprises a current control module and a power control module. According to the invention, through adaptive adjustment of the virtual impedance and correction of the active power instruction value, the overcurrent is effectively suppressed in the low voltage ride through process, and the power angle of the system is maintained to be stable, so that the transient performance of the network-forming type energy storage system is improved.

The invention discloses a data encryption method for multilevel key stream control in an industrial gateway, and particularly relates to the technical field of data encryption and network security. The method comprises the steps of obtaining a session identification code and communication context information; generating a first-level basic key based on the session identification code, and generating a multi-level key stream control matrix in combination with communication context information and a multi-source dynamic random factor; according to the hierarchical relationship of the matrix, key stream sequences of corresponding levels are distributed to data packets of different priorities, and the key stream sequences are switched or combined in real time according to data packet types, transmission paths and security policies in the encryption process, and time fragmentation processing and disturbance coding are executed; the encrypted data packet is sent through a multi-protocol forwarding module of the industrial gateway, and the receiving end carries out decryption by using the key stream control matrix; according to the invention, dynamic generation, hierarchical calling and safe switching of the key stream can be realized, and the data confidentiality, integrity and anti-attack capability of the industrial gateway in a complex network environment are remarkably improved.

The invention is suitable for the technical field of improving the new energy bearing capacity of a power distribution network, and provides a method for improving the new energy bearing capacity of the power distribution network through a rotating power flow controller, and the method comprises the steps: constructing a rotating power flow controller and a demand response model under a novel power system; constructing a distributed new energy bearing capacity double-layer optimization model which takes maximization of the bearing capacity of the power distribution network to the new energy as an upper layer objective function and minimization of the comprehensive operation cost of the system as a lower layer objective function; and solving the model by adopting a hybrid optimization algorithm based on a grey wolf algorithm and second-order cone programming to obtain the carrying capacity of the power distribution network under the condition of considering the demand response measure and the rotating power flow controller. The new energy bearing capacity level of the power distribution network can be improved when the rotating power flow controller and the load demand response are considered.

The invention discloses an electromagnetic valve current control method and device, a storage medium and an electronic device. The method comprises the following steps: carrying out current calibration on a controller based on a target current value at a preset temperature, and determining a first mapping table of the calibrated controller; in response to the received damping adjustment request, determining a target current value based on a target damping value carried in the damping adjustment request; determining a target duty ratio corresponding to the target current value based on the target current value and a first mapping table; and controlling the output current of the at least one electromagnetic valve to be stabilized to a target current value based on the target duty ratio and the initial duty ratio so as to adjust the damping force of the shock absorber. According to the invention, the technical problems in the prior art that the adjustment of a proportional-integral-differential controller needs a certain time and the lagging condition exists in current recovery are solved.

The invention relates to the technical field of network construction type converter control, in particular to a network construction type converter fault ride-through method and system based on dynamic virtual resistance control, and the method comprises the steps: adding a control link based on virtual impedance in a network construction type converter control system; detecting the actual value of the power grid voltage, and judging whether the power grid voltage drops or not; detecting the current amplitude output by the grid-forming converter in real time, and judging whether the current amplitude exceeds a set value or not; if one of the two conditions is met, a virtual impedance control link is started: stage-type current limiting control is performed on the virtual resistor, and the size of the virtual resistor provided by the network-forming converter to the power system is adjusted in real time along with the amplitude of the fault current; and when the power grid voltage recovers and the current amplitude is smaller than the set value, the virtual resistor staged current-limiting control exits. According to the invention, the amplitude limiting of the fault current in the fault ride-through of the network-constructed converter can be realized, so that the fault ride-through capability and transient stability of the network-constructed converter are improved.

The invention provides a passenger flow regulation and control method based on simulation prediction and a feedback closed loop, and the method comprises the steps: obtaining monitored real-time monitoring data through a camera, and fusing the real-time monitoring data with historical passenger flow data on an edge computing device; constructing a simulation environment according to the fused data, and performing simulation prediction on passenger flow distribution of the subway station in a future time period; inputting the simulation prediction result into a strategy generation module to generate a passenger flow control strategy; executing a passenger flow control strategy, and controlling the passenger flow by adjusting hardware facilities of the station; in the passenger flow control strategy execution process, feedback data are collected in real time through a camera, the control strategy is adjusted according to the feedback data, and closed-loop regulation and control are achieved. According to the method, the passenger flow distribution of the station in the future time period is simulated and predicted, the possible congestion trend can be predicted before the actual passenger flow growth arrives, and a strategy suitable for the actual conditions of different stations is finally made through continuous verification and adjustment, so that the station operation safety and the passenger passing efficiency are improved.

The invention relates to the technical field of flood control and drainage of urban pipe networks, in particular to a real-time control method, device, equipment and medium for an urban drainage system, and the method comprises the steps: carrying out the initialization of a DDDP-TL optimization algorithm according to a pre-constructed initial pipe network SWMM model of a target city; obtaining current actually-measured rainfall data of the target city and forecast rainfall data of multiple periods in the future; updating the initial pipe network SWMM model according to the current actually measured rainfall data to obtain an updated pipe network SWMM model; and based on the initialized DDDP-TL optimization algorithm, performing rolling optimization on the updated pipe network SWMM model by using the current actually measured rainfall data and the forecast rainfall data of multiple periods in the future so as to obtain a final control trajectory. Therefore, the problems that an existing urban inland inundation and combined system overflow control scheme depends on control rules, the optimization operation complexity is high, and the regulation and storage capacity of a pipe network is not fully utilized are solved.

The invention provides an urban rail transit regional passenger flow cooperative control and intelligent optimization method and device, and the method comprises the steps: describing the passenger flow evolution through a space-time state network, building a regional cooperative passenger flow control optimization model which takes the minimization of passenger waiting time as an objective function, and considers the constraints such as flow balance and capability constraints; and converting the optimization model into a deep reinforcement learning framework based on a Markov decision process, generating a reward function adaptive to passenger flow control by using a large language model LLM, and continuously optimizing a reward strategy according to the test performance of the agent through interactive training of a deep reinforcement learning agent and establishment of a reward function correction mechanism. Finally, a regional passenger flow control scheme is extracted from the trained agent model, more intelligent and efficient decision support is provided for subway managers, the operation efficiency of an urban rail transit system is improved, and the queuing waiting time of passengers is shortened.

The invention relates to a general network construction control method for a converter, the converter is connected to a common connection point through an LCL filter, the control link comprises an active outer ring, a reactive outer ring, a virtual impedance ring and a voltage and current control ring, and in the reactive voltage control link, a voltage amplitude difference value and a reactive power difference value are obtained through calculation; multiplying and superposing with a voltage feedback coefficient and a reactive power regulation coefficient, and generating a voltage amplitude reference of a converter voltage loop through a proportional-integral regulator; in the active frequency control link, a frequency difference value and an active power difference value are obtained through calculation, are multiplied by a frequency feedback coefficient and an active adjustment coefficient respectively and then are superposed, and a frequency reference of a voltage inner loop is generated through a proportional-integral regulator; in the general networking control process, outer loop control parameters are changed according to different application scenes, and different active loop and reactive loop control is achieved.

A method for providing control applications, wherein each of the control applications is provided by a flow control component, which is loadable onto a flow control environment formed via a server device and that is executed thereon, where control applications that require selected security authorizations are assigned a respective label as security-critical control applications, at least one respective flow condition is ascertained for the selected security authorizations for the control applications that are assigned a label as a security-critical application, the flow control environment checks for the occurrence of the respective flow condition while the flow control components for the control applications are being executed, and where the execution of each of the flow control components is terminated when the respective flow condition occurs.

The invention relates to the technical field of semiconductors, in particular to an active current sharing strategy for master-slave cooperative control. According to the technical scheme, the system comprises an S < iC > device dynamic current sampling unit, a dynamic current information conversion unit, a dynamic current information processing unit and a variable grid resistance driving circuit, wherein the S < iC > device dynamic current sampling unit is used for collecting real-time current information of the S < iC > device in the turn-on transient process. The method can effectively solve the problem of current imbalance caused by parameter difference of multi-device parallel connection, is especially suitable for parallel connection of three or more modules, guarantees the current sharing effect through fine active current sharing control, adopts a master-slave cooperative control strategy, solves the problem of single-point fault of a main module in traditional master-slave control, and improves the robustness of the system. The device is prevented from being damaged due to excessive current and voltage stress caused by current imbalance, stable operation of the system is guaranteed, current distribution can be effectively adjusted in the load switching process, and stable operation of the system is guaranteed.

The invention discloses a current sharing method of an interleaved LLC circuit, a controller and related components, relates to the technical field of interleaved LLC circuits, and solves the current sharing problem caused by device difference in an interleaved LLC resonant circuit. The method comprises the following steps: sampling a current difference value or a voltage difference value of two resonant cavities to carry out closed-loop operation, generating a duty ratio regulation variable in real time, and further determining which resonant cavity is non-uniform in current so as to determine a target resonant cavity to be subjected to current-sharing processing; and comparing the current working frequency with the resonant frequency, and determining whether the current working frequency is in a first preset range or exceeds the range, thereby selecting a proper switching tube to perform duty ratio adjustment so as to perform current sharing processing on the two resonant cavities. It can be seen that the switching tube needing duty ratio adjustment can be accurately positioned in the full frequency range, the accuracy of current sharing control is guaranteed, output current ripples are effectively reduced, overload of a certain resonant cavity is prevented, and therefore the stability and reliability of the system are improved.

The present disclosure relates to a 5G or 6G communication system for supporting higher data transfer rates. The present disclosure provides a method performed by a network exposure function (NEF) entity, the method comprising the steps of: receiving, from an application function (AF) entity, a session control request message including a terminal list including an identifier of at least one terminal performing federated learning; authenticating the request message; if the authentication is successful, transmitting a request message, for discovery of a PCF entity, including the list of the at least one terminal to a binding support function (BSF) entity; receiving a response message including a PCF address list from the BSF; on the basis of the PCF address list, transmitting a quality-of-service (QoS) flow control request message to the at least one PCF entity; receiving a response message for the QoS flow control request message; and transmitting a response message corresponding to the session control request message to the AF on the basis of the response message for the QoS flow control request message.

The present invention provides a method of controlling an electrolyser cell stack within a system having a fluid temperature control system, a current control system, a voltage monitoring system, monitoring / control systems for the temperatures of the fluid inlet and outlet, by controlling the current to a fixed value, calculating a temperature delta between the fluid inlet and outlet, and adjusting the fluid input temperature if the delta is greater than a threshold value. The present invention also provides a method of determining a stack operating condition is the temperature delta as measured above is lower than a threshold value. The present invention also provides a control device and computer program capable of executing the method as outlined above.

The invention relates to the field of data processing, in particular to a distributed flow limiting method and device, equipment and a medium, which are used for realizing distributed flow limiting control on a service request. The method comprises the following steps: receiving business requests of business servers connected with a cache server, and clustering the business requests based on multi-dimensional object information of the business requests to obtain request clusters; aiming at each request cluster, respectively executing the following steps: sorting the service requests in the request cluster to obtain a request sequence; aiming at each service request in the request sequence, sequentially executing the following steps: acquiring the count of a counter corresponding to the multi-dimensional object information of the service request, comparing the count with a first quantity threshold value, and judging whether the count is updated or not based on a first comparison result; and sending the first comparison result to a service server corresponding to the service request to enable the service server to analyze the first comparison result, and if a return value in an analysis result is a first set value, performing flow limiting processing on the service request.

The invention relates to a modular multilevel voltage converter (10) comprising three arms (a, b, c), each comprising an upper half-arm and a lower half-arm, wherein each half-arm comprises a chain of individually controllable submodules of formula (I), and wherein the converter further comprises a control unit (30) comprising at least one AC control module (40), a DC control module (52), and a modulation member (58) that is configured to deliver modulation signal setpoints for controlling the control members of the submodules of the upper and lower half-arms, wherein the modulation signal setpoints are delivered on the basis of voltages across the terminals of the capacitors of the submodules of the upper and lower half-arms and on the basis of modulation voltage setpoints applied to the upper and lower half-arms, and wherein the modulation voltage setpoints depend on a modulation voltage alternating component setpoint delivered by the AC control module, a modulation voltage common-mode component setpoint delivered by the DC control module, and a modulation voltage homopolar common-mode component setpoint, which depends on the voltages across the terminals of the capacitors of the submodules of the upper and lower half-arms.

The invention relates to a circuit arrangement (1) for multi-zone heating operation, comprising: a plurality of heating wires (2, 2 '), which can be supplied in parallel by a heating voltage, for heating a touch surface (19) comprising a plurality of zones (20, 20'); wherein a respective heating wire (2, 2 ') is associated with a zone (20, 20'); at least one first switching element (3a, 3a ') for each heating wire (2, 2'), which is coupled between the heating wire (2, 2 ') and one of the two different heating potentials (VH +, VH-) of the heating voltage in such a way that, in a heating mode, a heating current is applied to the respective heating wire (2, 2') in the conducting state of the first switching element (3a, 3a '), and interrupting the heating current in the OFF state of the first switching element (3a, 3a '); a control circuit (12, 6a, 6a ', 6b, 6b') configured to generate, for each heating wire (2, 2 '), individual pulse width modulated first control signals (ST1, ST1') to switch the first switching elements (3a, 3a ') between an on state and an off state, respectively, the individual pulse width modulated first control signals being applied to first control terminals (Ga, G'a) of the first switching elements (3a, 3a'), respectively; wherein the control circuits (12, 6a, 6a ', 6b, 6b') are further designed to apply a respective associated heating current to a plurality of heating wires (2, 2 ') in a common heating stage in parallel, in an overlapping manner and / or in an alternating manner, and wherein at least two of the first control signals (ST1, ST1') differ in terms of their duty cycles.

The invention discloses a method for improving stability of a network-forming converter by considering voltage and phase transients, which solves the problem of over-current control blind areas existing at the initial stage of a fault and at the moment of clearing in a traditional single current limiting method and overcomes the defect that the stability is sharply deteriorated when a traditional strategy is used for coping with a composite fault. The method comprises the following steps: S1, obtaining a virtual synchronous machine swing equation under a synchronous rotating coordinate system and an equivalent circuit model under the action of a circular current limiter; and S2, obtaining a nonlinear relation between the output power and the power angle of the converter, and analyzing a transient stability domain of the converter during a fault period. And S3, obtaining a mixed current limiting strategy, deducing an equivalent circuit model corresponding to the strategy, and further obtaining an output power expression corresponding to the strategy. And S4, obtaining a power damping term acting on an active power control loop, further obtaining a synchronization stability improvement strategy, and deducing a closed-loop model describing the system at the moment.

The invention provides a network adjustment method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining the network performance information of each routing port at the current moment; wherein the network performance information comprises priority flow control message information of the routing port; inputting the network performance information of each routing port into a network congestion evaluation model, and outputting first real-time network congestion degree information of each routing port; and calculating the network weight information of each routing port based on the first real-time network congestion degree information of each routing port, so as to carry out distribution adjustment on the port flow of each routing port according to the network weight information.

The invention discloses deep-sea mining seabed plume diffusion comprehensive experimental equipment and a control method thereof. The device belongs to the field of experimental pool design and is composed of an experimental pool, a sliding table module, a sediment mixing system, a camera system, an online turbidimeter group, an equipment control end, a sliding table controller, a camera sliding controller, a current generation controller and an experimental monitoring end. The constant-speed constant-turbidity coloring spray pump of the sediment turbid liquid is realized through flow generation of the circulating water tank and cooperation of online monitoring and an intelligent control method, the situation that the mixed liquid is directly sprayed into the water tank at an unstable stage to cause large experimental errors and pollute the experimental environment is avoided, and the experimental precision and practicability are improved; and through pixel size calibration and high-speed camera following, real-time visual presentation of the plume diffusion speed under the condition of large-range diffusion is realized.

The present application belongs to the grid-connected converter technical field, disclose a kind of droop control inverter current-limiting control method and system, the virtual impedance size and active reference value restriction condition when the fault current is equal to current-limiting value are accurately obtained by phasor analysis, virtual impedance-current difference proportional coefficient and active reference value-current difference proportional coefficient are designed considering the most serious situation of current-limiting, proportional increase virtual impedance and reduce active reference value with the change of adaptive current at fault, can meet the current-limiting requirement under different depth grid voltage drop.The current-limiting control method proposed in the present application is adaptive to fault current, without fault detection device, the transient stability of inverter is enhanced due to the reduction of active reference value at fault, and the fault current is indirectly limited by adjusting virtual impedance and active reference value, the voltage source characteristics of droop control inverter are retained, and the system fault ride-through capability is significantly enhanced.