624 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 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 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 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 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 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 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 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.

The invention discloses a circuit and a method for realizing current sharing through master-slave parallel connection, and the method is characterized in that a master machine and a plurality of slave machines are connected in parallel, and are respectively connected to a current sharing control bus through an isolation chip, a TTL and differential mutual conversion unit and an information gating switch in sequence, thereby forming a parallel current sharing circuit; comprising a host issuing current reference circuit and a processing circuit after a slave receives a current reference signal from the host. After a plurality of instrument power supplies are connected in parallel, a user sets a master-slave parallel mode on a front panel of the power supplies and selects a master computer, and other computers are slave computers; when a plurality of power supplies work in parallel, the host issues a current reference signal to the current sharing control bus through the current reference generation circuit, and the slave outputs a corresponding current value according to the current reference signal issued by the host. One of a plurality of power supply modules can be randomly selected as a main module, the flexibility is high, the stability is good, and the power supply has the characteristics of simplicity in wiring and control, low transmission loss of control signals, difficulty in interference of the control signals, balanced output control of all the power supply modules and the like.

The embodiment of the invention provides a control method, a control system, computing equipment, a storage medium and a program product. The method comprises the steps of obtaining a load state of a server in a storage system; wherein the load state is determined based on index data of at least one operation index; updating a flow control threshold according to the load state; and performing flow limiting control on a processing request to be sent to the server according to the flow control threshold. According to the technical scheme provided by the embodiment of the invention, the storage performance is ensured, and the resource utilization rate is improved.

The invention belongs to the technical field of power transformation equipment, and particularly relates to a low-voltage dynamic reactive compensation switching device which comprises a shell, a photoelectric isolation module and a communication module. The shell is in an inverted-T shape, a switching switch is arranged at the front end of the shell, wiring ports are symmetrically formed in the upper side and the lower side of the shell, and wiring bolts are installed on the wiring ports. A photoelectric isolation module is arranged on one side of the shell, and the heat dissipation holes dissipate heat for the photoelectric isolation module. According to the scheme, a thyristor and contactor hybrid switching switch is adopted, zero-crossing switching is realized by the thyristor during dynamic load fluctuation, and inrush current control is less than or equal to 10 times of rated current. And when the static state is stable, the contactor is automatically switched to be conducted, and the power consumption is reduced to 1.5 W and is greatly reduced compared with a pure thyristor scheme, so that the impact is avoided and the energy consumption is reduced. The thyristors are in bidirectional anti-parallel connection, and are matched with zero-cross detection logic of the controller, so that overvoltage and transient harmonic waves in the switching process are thoroughly eliminated, no interference is caused to a power grid, and the service life of the device and power grid equipment is prolonged.

A direct memory access controller (DMAC) includes a virtual channel, a physical channel, and a context manager. The virtual channel is configured to generate a flow control signal for executing a direct memory access (DMA) command. The physical channel includes read and write control logic to initiate data transmission from the source device to the destination device in accordance with the DMA command in response to the flow control signal. In one embodiment, a context manager includes: allocation logic configured to arbitrate between allocation requests from virtual channels and to allocate physical channels to selected virtual channels; and routing logic configured to route a flow control signal from the selected virtual channel to the allocated physical channel, and to route a status signal between the allocated physical channel and the selected virtual channel.

The invention discloses a power angle feedback control method for a network construction converter with synchronous stability and current limiting capabilities, and belongs to the technical field of power electronic control. In order to solve the problems that an existing networking converter is prone to instability in the transient state and insufficient in fault overcurrent capacity, power angle feedback control is introduced, a reliable stable balance point is built for the networking converter, and the synchronization stability of the networking converter is remarkably enhanced; meanwhile, the size of the stable balance point is adjusted in real time according to different fault degrees, active current limiting control of the networking converter is achieved, and the current limiting requirement of the networking converter is effectively met on the premise that the synchronization stability of the networking converter is greatly enhanced.

The invention discloses a time sequence fault current-limiting control method and system compatible with a grid-connected guide rule for a network construction type doubly-fed wind turbine generator, and the method comprises the following steps: freezing external power control when a low-voltage ride-through event of a power grid is detected at the initial stage of a fault, and suppressing transient overcurrent through dynamically adjusting the resistance component of virtual impedance; in the fault stable stage, an electromotive force compensation increment is calculated on the basis of grid-connected guide rule requirements at the moment 4 tau after the fault occurs; in the fault clearing stage, after it is detected that the fault is cleared, electromotive force compensation is stopped; gradually recovering the virtual impedance to a rated value through the dynamic coefficient A; in the fault recovery stage, active control and reactive control are recovered in sequence, power output is recovered to the level before the fault within one second, and meanwhile the virtual impedance amplitude is gradually recovered to the rated value along with the voltage phase difference; the voltage phase jump amplitude and the voltage drop amplitude determined by the method have high robustness.

In a communication method, the method includes: obtaining a subscribed aggregated maximum bit rate (AMBR) of a slice, wherein the subscribed AMBR indicates a quantity of guaranteed bit rate (GBR) resources and a quantity of non-GBR resources in the slice; determining policy information based on the subscribed AMBR, wherein the policy information comprises at least one of a session-AMBR of a session or a flow control bit rate of a QoS flow of the session; and sending the policy information to a session management network element

The invention belongs to the technical field of microwave source equipment, and provides a microwave generator and a power output adjusting method and device, and the method comprises the steps: obtaining target output power, determining a power interval according to the target output power, and determining a corresponding control strategy according to the power interval. The control strategy includes executing several adjustment cycles. The nth regulation period comprises the following steps: executing at least one of a filament current control strategy and a magnetic field current control strategy; executing a power control strategy; the real-time output power of the microwave generator is collected, if the deviation value of the real-time output power and the target output power is within a first set range and lasts for a first time length, all the n control periods are completed, the process is ended, and the next period is not entered any more; otherwise, entering the (n + 1) th period, n being greater than or equal to 1. The optimal adjustment algorithm is selected according to the target output power, and a better power output adjustment effect is achieved.

The invention relates to a neural network accelerator, in particular to an instruction flow control system applied to the neural network accelerator, which comprises a first-stage instruction flow control unit, a second-stage instruction flow control unit, a third-stage instruction flow control unit, a fourth-stage instruction flow control unit and a fourth-stage instruction flow control unit, and is characterized in that the first-stage instruction flow control unit is responsible for prefetching, decoding, executing and distributing instructions of the neural network accelerator and responding to pause influence of debugging events and synchronization events on instruction distribution; the second-level instruction flow control unit is located in each execution unit, extracts execution parameters from the second-level execution instructions distributed by the first-level instruction flow control unit, is responsible for translating and maintaining the instruction execution dependency relationship among the execution units, and ensures that the execution units execute the instructions in sequence according to the instruction execution dependency relationship among the execution units; according to the technical scheme, the defect that in the prior art, it is difficult to efficiently execute instructions with the execution dependency relationship between the execution units can be effectively overcome.

The invention provides a control system for frequency conversion and speed regulation of a refrigerator compressor, and belongs to the technical field of refrigerator compressors. Stator resistance parameters are identified on line through an extended Kalman filter, and an extended state observer is established to estimate the total disturbance quantity of a direct axis and a quadrature axis; calculating a flux-weakening direct-axis current instruction value in a flux-weakening operation region according to the rotating speed and the direct-current bus voltage, and inputting the current instruction value, the actual current value and the rotor rotating speed into a current loop parameter adaptive optimization model to obtain a proportional integral gain and a feedforward decoupling coefficient; calculating a proportional-integral control voltage and a feedforward decoupling voltage, superposing the proportional-integral control voltage and the feedforward decoupling voltage with total disturbance quantity compensation to obtain an output voltage, and generating a driving signal through space vector pulse width modulation to control an inverter; the technical problem that a refrigerator compressor permanent magnet synchronous motor is low in parameter setting efficiency of a current controller in a weak magnetic operation area and is difficult to adapt to full-speed-domain dynamic working condition changes is solved.

Examples described herein provide a system for controlling power flow in an energy distribution network. The system includes a plurality of inverters, each having an inverter controller associated therewith. The system further includes a utility controller associated with a utility and configured to communicate with at least a subset of the plurality of inverters. The system further includes a customer controller associated with a customer of the utility and configured to communicate with at least the utility controller. The system further includes a direct current (DC) breaker associated with a battery of the customer. The system further includes a DC meter of the customer, the DC meter and the DC breaker each configured to communicate with the utility controller and the customer controller. The utility controller is configured to determine a current operational scenario of the energy distribution network and to control power routing within the energy distribution network.

The embodiment of the invention provides a current sharing control method and an AC-DC conversion system, the current sharing control method is applied to a current sharing controller, the current sharing controller is used for controlling the working state of an AC-DC converter, the AC-DC converter comprises at least two rectification units, and the at least two rectification units adopt a combination of a bridge topology structure and an LLC resonant tank; comprising the steps of determining a target adjustment phase according to absolute values of three-phase input voltage instantaneous values of at least two rectification units; according to the current sampling values of the at least two rectification units, a target duty ratio of a target adjustment phase in each rectification unit is determined, and the target duty ratio is used for indicating adjustment of the voltage gain of the LLC resonant tank; and adjusting the duty ratio of the control signal of the switching tube in each rectification unit according to the target duty ratio of the target adjustment phase in each rectification unit. According to the embodiment of the invention, the gain of the LLC is changed by adjusting the pulse width of the switching tube control signal in the rectification unit and adjusting the amplitude distribution of the input voltage of the resonant tank, so that the output current of the LLC is controlled, and the purpose of current sharing is achieved.

The invention discloses a water pump flow control method and system, and the method comprises the steps: S1, a control system is initialized, a global impedance set is obtained through the control system, and the global impedance set comprises but is not limited to the impedance coefficients Zi, the initial pressure Qs and the descent slope K of all branches; s2, based on the global impedance set, the pulse switch time sequences of all branches are coordinated through a pulse synchronous constant-current control method, so that the whole pipe network system operates synchronously at constant current; and S3, if the pulse unit at the inlet end of any branch detects that the pressure waveform is continuously abnormal, the fault diagnosis module sends a fault alarm and a diagnosis result to the main controller, the main controller isolates the abnormal branch, and the step S2 is executed again. By means of the control method and system, it can be guaranteed that the variable-frequency water pump is started in a peak shifting mode, huge pressure impact caused by simultaneous starting and stopping of all valves is avoided, the variable-frequency water pump always works near a resonance point, output is constant, flow is stable, the system operates in a resonance state, and irrigation is more stable.

The invention discloses a CAE (Computer Aided Engineering) workflow control subsystem and method based on cloud computing, and belongs to the technical field of crossing of computer simulation and cloud computing, and the subsystem comprises a workflow configuration analysis module which is used for converting a CAE workflow configuration file possibly containing cyclic dependence into a directed acyclic graph state machine through strong connectivity component analysis; the workflow state machine operation module is used for dynamically deriving task groups which can be executed in parallel in the next stage in the state machine according to the current state; and the workflow scheduling module is used for submitting the tasks to a cloud solving platform in parallel and realizing fault recovery through state persistence. Through deep fusion of a graph theory method and a cloud computing architecture, automatic scheduling, efficient parallel execution and reliable fault tolerance of the CAE workflow are realized, and the computing resource utilization rate and the system reliability are remarkably improved.

The invention discloses a teaching live broadcast control method, a teaching live broadcast control system, a teaching live broadcast control medium and teaching live broadcast control equipment based on multi-protocol signal flow scheduling, a multi-protocol signal source is adaptively accessed, a protocol analysis plug-in is correspondingly loaded to analyze a protocol, and different types of heterogeneous flows are converted into standardized data flows. Extracting stream features, and performing scene recognition; and dynamically adjusting the bandwidth allocation strategy based on the network state and the terminal capability. And on the basis of the multi-target reinforcement learning model, generating an optimal strategy of bandwidth allocation for live broadcast stream pushing and local distribution requirements. Stream transcoding and format conversion are carried out, and multi-signal stream timestamps are dynamically calibrated and synchronized; based on a Transform model, multi-modal content matching is carried out, knowledge chain marks are generated, and finally terminal output is carried out. The method has the advantages of full-scene protocol compatibility, dynamic scene adaptive scheduling, intelligent resource dynamic allocation, high-precision time synchronization calibration and content intelligent association matching.

Devices, systems, methods, and processes for incast congestion management are described herein. Typically, in a Packet Sequence Number (PSN) based Remote Direct Memory Access (RDMA) network, Priority Flow Control (PFC) is asserted upstream when an incast congestion event occurs, which can victimize unrelated flows. Thus, instead of asserting PFC, a switch in the PSN based RDMA network detects an incast congestion event and directly notifies one or more Reliable Connection (RC) Queue Pairs (QPs) of various sending devices, associated with the incast congestion event using Receiver Not Ready (RNR) negative acknowledgements (NACKs). These RNR NACKs are associated with unique pause time-periods. The associated RC QPs receive the RNR NACKs and pause packet transmission. The associated RC QPs resume packet transmission upon expiration of corresponding pause time-periods. Thus, the packet transmission from the contributing RC QPs is spaced out, avoiding all packets reaching a switch output port at the same time.

The present disclosure is directed to implementations of systems and methods for quality-of-experience (QoE)-aware quality-of-service (QoS) management for network flows. In some implementations, a wireless transmit receive unit (WTRU) may transmit to a network a registration request comprising quality-of-experience (QoE) assistance information. The WTRU may receive, from the network, a registration acceptance response indicating a QoE-Aware Quality-of-Service Function (QQF) of the network is configured to provide flow control or QoS management for an application of the WTRU based on the QoE assistance information. The WTRU may execute the application and monitor a QoE score during execution of the application. Responsive to a change in the QoE score, the WTRU may transmit to the QQF one or more network or application performance measurements.

The invention belongs to the field of information security, and relates to a multi-agent network security operation method and device, electronic equipment and a storage medium, and the method comprises the steps: constructing a layered architecture from physical hardware to an upper application; receiving a network security global task, and decomposing the network security global task into task subsets in a coarse-grained layer; the atomic tasks are allocated to appropriate agents, a task alliance is formed, and a collaborative strategy is formulated; by improving the credible interference-free information flow control method of the operating system process, interference-free information interaction between intelligent agents is adapted; performing real-time intention synchronization and cooperation adjustment between the intelligent agents; feedback information in the task execution process is collected, the task completion condition is evaluated, and the multi-granularity collaborative decision process is optimized. The requirements of an intelligent network space security protection system are met; the method can be applied to security operation system platform scenes of multi-agent cooperation, multi-robot cooperation, multi-agent software systems, multi-digital person cooperation and the like.

The invention discloses a high-bandwidth current control method and system used for a permanent magnet synchronous motor, and relates to the technical field of high-bandwidth current control of the permanent magnet synchronous motor, and the method comprises the following steps: S1, a current sampling and updating step: carrying out the secondary sampling of the stator current of the permanent magnet synchronous motor in a pulse width modulation carrier period, and two times of pulse width modulation duty ratio updating are correspondingly carried out to form double-sampling double-updating time sequence control. Through an innovative double-sampling and double-updating time sequence control strategy, two times of current sampling and two times of duty ratio updating are executed in a PWM carrier wave period, the total delay of the system is greatly reduced from the level of a traditional method, and according to the control system theory, the current loop bandwidth and the system delay are in an inverse proportion relation, so that the current loop bandwidth and the system delay are effectively controlled. The significant reduction of the time delay directly brings the multiplied increase of the current loop bandwidth, and the improvement lays a solid foundation for the high dynamic response performance of the whole servo system, so that the system can respond to the instruction change with higher frequency.

The invention belongs to the field of power electronic technology and new energy grid-connected control, and particularly relates to a cooperative control system and method for parallel operation of multiple new energy inverters. The method comprises the following steps: firstly, establishing a small signal model of an inverter parallel system, and analyzing dynamic characteristics of the system under power disturbance; secondly, realizing power decoupling and current sharing control based on a frequency-power droop characteristic; furthermore, coordinated operation of multiple energy sources such as photovoltaic energy and energy storage is realized by monitoring the phase of the direct-current bus voltage and the alternating-current side voltage in real time; the method has high engineering applicability, and high-speed real-time communication between parallel units is not needed; the virtual impedance parameters Rv and Lv have clear physical significance and are easy to preliminarily set according to line parameters; the calculation of the dynamic matching self-adjusting module is linear operation, the requirement for the computing power of a processor is low, and integration and implementation on an existing inverter control platform are facilitated.