625 results about "Power coupling" patented technology

The invention discloses a green data center scheduling optimization method under computing power and electric power coupling, data load types of a data center comprise a transferable load, a reducible load and a rigid load, and the method comprises the following steps: constructing a double-target scheduling optimization model by taking the minimum power consumption cost of the data center and the maximum green power fitting degree as targets; the power consumption cost of the data center is used for representing the sum of expenses generated by the data center for purchasing power from a power grid in order to meet the power required for processing the data load in each time period, and the green power fitting degree is used for evaluating the matching degree between the power consumption demand of the data center and the renewable energy source supply; solving the dual-target scheduling optimization model by using a multi-target dogvessel swarm algorithm to obtain a Pareto frontier; and determining an optimal scheduling scheme based on the Pareto frontier, wherein the optimal scheduling scheme comprises a data center power consumption curve, an energy storage power station charging and discharging curve and a transferable load scheduling strategy. According to the invention, the power consumption cost of the data center can be reduced, and the renewable energy consumption capability can be improved.

Vibrations in a drill string are damped with a sleeve that circumscribes and is rotatable about a portion of the drill string. Ribs project radially outward from an outer surface of the sleeve and into sidewalls of the wellbore to rotationally couple the sleeve and wellbore. A coupling device restricts free rotation of the sleeve about the drill string, and which is selectively engaged to counteract vibrational forces in the drill string. The coupling device can include a clutch-like device to introduce friction between the drill string and the sleeve, that is powered hydraulically or electrically. Activating the coupling device is based on a timer or in response to vibration sensed in the drill string.

The invention discloses a power coupling-considered capacity ratio estimation method for a network-constructing / network-following multi-machine hybrid system, and the method comprises the steps: building a GFL-GFM hybrid system model, combining VSG power coupling small signal modeling and a dynamic relative gain matrix (DRGA), and quantifying the coupling strength of active / reactive power to output voltage; the frequency domain impedance characteristic of the GFM converter is simplified, and an ideal voltage source series equivalent reactance equivalent model is constructed; deriving an analytical relationship between a generalized short-circuit ratio (gSCR) and a capacity ratio based on the model, and generating a ratio formula in combination with engineering boundary sub-scenes to form a ratio range suitable for multiple scenes; for coupling time-varying characteristics, a closed-loop mechanism of'mixed mode-coupling sensing-correction calculation-execution feedback 'is constructed, and the ratio is dynamically adjusted. According to the method, coupling quantization and multi-machine coordination control are deeply fused, the problem that the external characteristic model precision and the multi-working-condition adaptability are difficult to consider under complex environment coupling is effectively solved, and the engineering applicability of the hybrid fan system is enhanced.

The invention discloses a hydrogen-lithium dual-power system structure optimization design and integrated control method applied to an unmanned aerial vehicle. The method comprises the following steps: constructing a hydrogen-lithium dual-power system of the unmanned aerial vehicle; setting an integrated control strategy according to the hydrogen-lithium dual-power system; the integrated control strategy comprises an energy management strategy and a life and safety management strategy; the energy management strategy comprises a rule-based strategy, a power following strategy and a self-adaptive optimization strategy; the service life and safety management strategy comprises a hydrogen fuel cell protection strategy, a lithium battery health management strategy, a thermal management strategy, a dual-power coupling safety management strategy and a redundancy and fault processing strategy. By optimizing the power system design and the energy management strategy, the mass of the unmanned aerial vehicle device is reduced, the cruising ability, the load capacity and the environmental adaptability of the unmanned aerial vehicle are improved, and optimization processing of the control strategy is achieved.

The invention relates to the technical field of power system automation, in particular to a climbing-frequency modulation coordinated optimization method and system considering energy storage capacity uncertainty, and the method comprises the steps: building an opportunity constraint model of an energy storage system based on the capacity uncertainty, and enabling the opportunity constraint model to be used for describing a reliable feasible region under the deviation of energy storage electric quantity; establishing an energy storage system linearization model considering a climbing-frequency modulation power unified constraint, and realizing power coupling and sharing constraint description of two types of adjustment services; aiming at the nonlinear characteristic of the gradeability of the thermal power generating unit, establishing a piecewise linearization model of the gradeability by adopting a piecewise linearization method; and establishing a thermal power-energy storage combined climbing-frequency modulation coordinated optimization model, and solving the optimization model by adopting a quadratic programming method to obtain the climbing power and frequency modulation reserve capacity of the thermal power generating unit and energy storage. According to the method, the actual available range of the energy storage system capacity can be dynamically reflected, the electric quantity out-of-limit risk caused by the uncertainty of the energy storage capacity is avoided, and the reliability of the scheduling result is improved.

The invention discloses a high-speed railway roadbed structure design method based on dynamic stability. The method comprises the following steps: starting a design process: clearly designing load and control conditions; constructing a lumped parameter dynamic coupling model of the high-speed railway vehicle-track-roadbed layered structure; setting parameter input and verification are carried out on the model based on the design parameter system; solving a roadbed layered dynamic response result through the dynamic coupling model; judging critical conditions of the first design threshold and the second design threshold; various design parameters meeting the first design control threshold value and the second design control threshold value are substituted into the dynamic coupling model for recalculation, it is verified that various dynamic response rules meet design requirements, and finally the design target is completed. According to a typical high-speed railway subgrade structure subgrade bed surface layer graded broken stone and subgrade bed bottom layer coarse-grained soil filler type, a high-speed railway subgrade filler dynamic stability critical state judgment standard is established in combination with a long-term deformation development rule and hysteresis energy characteristics of different fillers under the action of train power; and the support is provided for the stability design of the high-speed railway roadbed structure.

The invention relates to the technical field of new energy power system control, and relates to a power decoupling method for cooperative control of voltage feed-forward compensation and adaptive virtual impedance. The method comprises the following steps: acquiring a power grid current and a power grid voltage, and calculating a reactive power measured value and an active power measured value of a power grid; virtual synchronous machine control is carried out, and a voltage feed-forward pre-compensation item is introduced into a reactive power control loop; calculating a reactive power control loop after VSG compensation, and obtaining VSG output side voltage and instantaneous angular frequency; self-adaptive virtual impedance control is adopted, a self-adaptive virtual impedance reference value is calculated, line impedance is dynamically adjusted, and a voltage loop input instruction voltage is calculated according to the line impedance; and adjusting the output performance of the inverter according to the instruction voltage. According to the invention, the problem of power fluctuation caused by VSG output voltage amplitude variation is effectively solved, and the dynamic influence of a power coupling item is weakened.

The invention discloses a wide-temperature-range sodium-lithium hybrid energy storage system and a control method thereof. According to the system, the working temperature range of the energy storage system is effectively expanded through sodium-lithium hybrid energy storage; the sodium ion battery unit bears a low-temperature working condition, and the lithium ion battery unit bears a normal-temperature basic load, so that the low-temperature and power characteristics of a sodium battery and the high-energy density advantage of a lithium battery are exerted, and complementation of energy density and temperature adaptability is realized; and the independent bidirectional DC / DC converter is adopted for power coupling, so that the problem of voltage mismatching possibly caused by direct parallel connection is effectively avoided, and the reliability and the control precision of the system are improved. The system has intelligent environment perception and adaptive control capabilities, can adaptively adjust a working mode and a power distribution strategy according to environment conditions, and is high in intelligent degree. The modular design is adopted, system expansion and maintenance are facilitated, and the operation and maintenance cost is reduced.

The invention discloses a response control method for a charging station participating in a low-voltage treatment scene, and the method comprises the following steps: S1, collecting the voltage data of a charging pile, calculating a deviation, and judging a low-voltage grade; s2, when the deviation is in a light interval, outputting reactive power support voltage in proportion; s3, when the deviation exceeds a heavy threshold value, reducing active power and starting V2G feedback; s4, constructing a graph structure model, and extracting inter-node power coupling and user behavior factors; s5, inputting the model into an improved prediction controller, predicting a future voltage state, and optimizing and outputting a current period power control value; s6, power adjustment is executed, and feedback power is slowly output in the V2G stage; and S7, comparing the control deviation with the behavior factor change, updating the node control priority, and feeding back for rolling optimization of the next period. According to the invention, while the charging regulation and control precision is improved, the user experience and the voltage stability are effectively considered, and the method is suitable for various low-voltage treatment scenes.

The invention discloses an optical storage charging station robust optimization method considering the travel behavior deviation of a charging user, and the method comprises the steps: depicting the path selection and charging behaviors of an electric vehicle user under different perception deviations through collecting the multi-dimensional data of a power network and a traffic network in real time, and employing a random user balanced mixed traffic flow distribution model; coupling the traffic and the power network through a traffic-power coupling network time-space correlation constraint; and establishing a two-stage robust optimization model of the optical storage charging station by integrating the photovoltaic output of the charging station and the behavior perception deviation multi-dimensional uncertainty of the travel user of the traffic network. An efficient solving algorithm is designed for a specific model, an optimal operation strategy of the power distribution network and photovoltaic charging station equipment in a worst scene is finally generated, dynamic optimal balance of operation economy and robustness of the power distribution network is achieved, the operation cost is reduced while the safety margin of the system is guaranteed, and the system reliability is improved. And the cooperative regulation and control capability of the complex coupling system is obviously improved.

The invention belongs to the technical field of new energy active support stability control, and provides a fan power decoupling method based on adaptive virtual impedance and feedforward compensation. According to the method, dynamic characteristics of active power and reactive power in the system are analyzed by combining a topological structure of a doubly-fed fan grid-connected system and fan internal control, and a small signal model is constructed based on power transmission characteristics. A self-adaptive virtual impedance strategy based on power grid impedance characteristic adjustment is introduced for the problem of power coupling caused by high line impedance in a weak power grid environment and dynamic and control loop characteristics of flux linkages in a fan. Meanwhile, through a disturbance component extraction and feedforward control strategy, a disturbance signal in rotor current is introduced into a power ring for adjustment, and power decoupling control is realized. The method overcomes the limitation that an existing decoupling control technology is poor in effect, the control principle is clear, engineering implementation is easy, and the stability and the dynamic response capability of the doubly-fed fan in the weak power grid environment can be improved.

The invention relates to the technical field of digital simulation, and discloses a hardware-in-the-loop simulation test method for a control and protection system of an energy storage power station. The method comprises the following steps: acquiring operation data of an energy storage power station, and establishing an SOC-power coupling constraint mechanism by adopting a state space decomposition algorithm; establishing a current-voltage-SOC three-dimensional protection criterion based on the battery state parameters; calculating power balance distribution of the multiple energy storage power stations by adopting a distributed coordination control algorithm; configuring a hardware interface signal synchronization protocol to establish a test platform; and loading a multi-scene fault working condition to execute automatic verification and outputting a performance evaluation result. The technical problem that the energy storage power station control and protection system lacks a high-precision, multi-scene and hardware-in-the-loop integrated simulation test verification method is solved, and the precision, efficiency and safety of test verification of the energy storage power station control and protection system are improved.

The invention provides a movable hydraulic mechanical arm and a control method, and the mechanical arm comprises a base which adopts the design of a movable chassis with an independent drive, so that the equipment moving capability is provided. The arm support assembly is formed by connecting a plurality of arm supports in series through rotary joints, and each joint is provided with a hydraulic actuator to achieve the driving function. The sensing and positioning system is responsible for obtaining the state of the mechanical arm and surrounding three-dimensional environment information and providing data support for intelligent control. The control system is arranged on the arm support and connected with the subsystems through cables, and cooperative motion control based on state information and environment information is achieved. The hydraulic system comprises three core assemblies, wherein hydraulic power units are in one-to-one correspondence with the actuators; the hydraulic execution unit is integrated on an actuator oil port valve block and comprises a servo valve, a pressure sensor and an emergency locking valve. The hydraulic auxiliary unit provides oil storage, temperature control and filtering functions. The key problems of dynamic coupling, response delay, low energy efficiency and the like are solved.

The invention discloses a roadbed and pavement compactness detection and regulation method for road engineering. The method comprises the following steps: deploying an intrusive sensor array to monitor an internal physical state and water-heat-force coupling phase change data; synchronously acquiring operation data of intelligent compaction equipment and scanning data of nondestructive detection equipment, and identifying a phase change critical point of the material; a disturbance propagation coefficient is calculated through a mechanical transmission chain model after data fusion, a target point is determined, and automatic micro sampling is carried out; and fusing all data to establish a macro-medium-micro three-scale fused compaction prediction model, generating a real-time regulation and control instruction to realize closed-loop control, and finally generating a three-dimensional compaction degree distribution digital twin model. According to the method, multi-source data are integrated, material phase change and mechanical transfer rules are associated, and the stability and the intelligent level of compaction quality are improved.

The invention discloses continuous automatic stamping equipment and a stamping method, and relates to the technical field of continuous automatic stamping, the continuous automatic stamping equipment comprises a stamping table, the outer wall of the top of the stamping table is fixedly connected with a top plate, and one side of the top plate is fixedly connected with a positioning table used for fixing when a stamping part is stamped; a positioning assembly is arranged at the top of the top plate, a hydraulic rod is fixedly connected to the top of the top plate, a fixing plate is fixedly connected to the output end of the hydraulic rod, a stamping head is fixedly connected to the outer wall of the bottom of the fixing plate, and a stamping groove matched with the stamping head is formed in the top of the stamping table. The outer wall of the top of the stamping table is fixedly connected with a sliding column. According to the continuous punching device, linear motion of the hydraulic rod is converted into gear transmission and swing of the swing rod through power coupling, impact is relieved through an elastic buffering structure, precise positioning, stable clamping and equidistant displacement of a punching part are achieved through mechanical closed-loop linkage, and high efficiency and stability of continuous punching are guaranteed.

The invention provides a power dividing type hybrid power tractor driving system. The power dividing type hybrid power tractor driving system comprises a power source and a power dividing type multi-mode switching mechanical transmission system, wherein the power source is composed of an engine, a P3 motor and a PS motor. The invention further provides a control method of the power split type hybrid power tractor driving system. Through the arrangement of the P3 motor, the PS motor, the power coupling mechanism, the clutch and the brake, energy distribution and efficient work of the engine are achieved. The device is compact in structure and good in dynamic property and economical efficiency, can realize multi-mode driving operation according to complex working conditions of the tractor, and has the advantages of interval stepless speed change, accurate control and the like.

The invention discloses a power distribution method and device for an urban power grid, a medium and equipment, and belongs to the field of power distribution.The method comprises the steps that firstly, electric heavy truck, air conditioner and resident load data of all parks in the urban power grid are collected in real time, and the charge state, power capacity and power grid time-of-use electricity price information of shared energy storage are synchronously obtained; and then inputting the data into a double-layer flexible resource-shared energy storage decision model obtained by'historical data + income maximization 'training, and cooperatively optimizing upper-layer energy storage economic benefits and lower-layer multi-park flexible resource utilization under power coupling constraint through mixed integer programming. Outputting a charging and discharging power distribution instruction of shared energy storage and a flexible resource regulation and control instruction of each park; finally, energy storage charging and discharging and park load adjustment are controlled in a closed-loop mode according to the instruction, accurate, real-time and economical distribution of urban power grid power is achieved, and the problem that in the prior art, optimal adjustment of a power grid cannot be achieved with economic maximization as the target is effectively solved.

The invention provides a wind, light and water storage double-layer robust optimization scheduling strategy construction method and system, and relates to the technical field of energy management, and the method comprises the steps: firstly obtaining multi-source data of a wind power plant, a photovoltaic power station and a cascade hydropower station; performing feature extraction and integrated prediction based on the multi-source data to generate a wind-solar power prediction result; combining hydrodynamic coupling modeling analysis to obtain a hydropower station power generation capacity and adjustable dynamic water volume sequence; the method comprises the following steps: constructing a multi-layer energy coupling graph and performing spectral domain structure optimization to form a power coupling network representing system space-time correlation and ecological sensitivity; and finally, adopting double-layer distributed robust optimization, synchronously optimizing the economic target and the ecological risk constraint, and generating a collaborative scheduling strategy. According to the method, the time sequence matching problem between the wind and light volatility and the hydroelectric time lag is effectively solved, the renewable energy consumption capability and the water resource utilization efficiency are improved, and the ecological operation risk is reduced.

The invention discloses an optimal scheduling method for a power distribution network, and the method comprises the steps: dividing the micro-grids into different micro-grid types according to the operation characteristics of a source load, taking the micro-grids of the same type as a whole, carrying out the optimal scheduling of the power distribution network, and effectively considering the power interaction between multiple micro-grids and the power distribution network. And meanwhile, in a first optimal scheduling model for power interaction of the multiple microgrids, power constraints considering power generation behaviors of distributed power supplies and charging lines of electric vehicles are constructed, so that optimal scheduling of power interaction among the multiple microgrids is realized. Besides, when the multi-micro-grid is subjected to optimal scheduling, power coupling between the power distribution network and the multi-micro-grid is considered, so that a second optimal scheduling model of the power distribution network connected with the multi-micro-grid group is constructed, and coupling constraints between the first optimal scheduling model and the second optimal scheduling model are constructed, thereby ensuring safe operation of the power distribution network. And cooperative efficient operation of the micro-grid and the power distribution network is improved.

The invention provides a simulation analysis method and system for tunnel structure response under the action of multi-source power. The simulation analysis method comprises the following steps: S1, constructing a numerical solution system for coupling load analysis; s2, constructing a track-tunnel-soil body implicit dynamic analysis finite element model based on the numerical solution system, and forming a structure-soil body dynamic coupling system; s3, setting a plurality of types of working conditions according to preset requirements, wherein the working conditions comprise actual measurement and simulation scenes of a vehicle body and an earthquake; s4, analyzing a structure response result to obtain a response rule under the action of multi-source power; a track-tunnel-soil body three-dimensional finite element implicit dynamic analysis model is constructed, key technologies such as static-dynamic ground stress balance conversion, viscoelastic artificial boundaries, seismic oscillation equivalent node force input and train vibration function loading are comprehensively adopted, and a reliable simulation system of tunnel structure response under the multi-source dynamic effect is established.

The invention discloses a data center cluster scheduling method considering shared energy storage under computing power and power coupling, and the method comprises the steps: building an upper-layer shared energy storage optimization model with the maximum benefit of a shared energy storage power station as a first target, and building a lower-layer data center cluster power utilization optimization model with the maximum typical daily benefit of a data center cluster as a second target, a master-slave game joint scheduling model is obtained; cooperatively solving the model by using a genetic algorithm and a CPLEX solver to obtain an optimal electricity selling strategy of the shared energy storage power station and an optimal electricity purchasing strategy of the data center cluster; the optimal electricity selling strategy is used for indicating the discharging electricity price and the charging and discharging power of the shared energy storage power station in each time period, and the optimal electricity purchasing strategy is used for indicating the electricity purchasing power of the data center cluster from a power grid, a renewable energy power generator and the shared energy storage power station in each time period and the power generated by a self-contained generator set. According to the invention, the electricity utilization cost of the data center cluster can be reduced while the shared energy storage income is improved.

The invention relates to the technical field of new energy grid-connected control, in particular to a fault stage transient stability analysis method and system for a following-constructed network type converter series-parallel system, and the method comprises the steps: enabling a constructed network type converter to be equivalent to a controlled voltage source series impedance, enabling a following network type converter to be equivalent to a controlled current source, and enabling the controlled current source to be equivalent to a controlled voltage source series impedance; the whole series-parallel system is equivalent to a scene in which double voltage sources and a single current source are jointly connected in parallel to a PCC point, and a series-parallel system model is constructed; according to the series-parallel system model, respectively representing an active power coupling term of the network-building type converter and a voltage coupling term of the network-following type converter under the condition of considering parallel connection of the network-following type converter and the network-building type converter; according to the coupling term, remodeling an active loop control structure of the network-constructing converter and a phase-locked loop synchronization structure of the network-following converter, and obtaining a transient analysis model of the series-parallel system considering the coupling term; the transient stability of the hybrid system in the power grid fault stage is analyzed through the transient analysis model, and the influence on the transient stability is effectively represented.

A high-frequency reciprocating rotating electric toothbrush rod can work in a wide frequency range of 140-350 Hz and high swing frequency and comprises a brush rod shell, an inner support, a rotating brush head assembly and a rotating power transmission assembly, the brush rod shell is hollow, the rear end of the brush rod shell is detachably connected to a main machine of an electric toothbrush, the rear portion of the brush rod shell is in a trumpet shape, and the inner support is contained in the brush rod shell. The inner support is in a horn shape and matched with an inner cavity of the brush rod shell, the inner support is hollow so as to form an inner space with a built-in rotary power transmission assembly, and a round groove for containing the rotary brush head assembly is formed in the front end of the brush rod shell. Therefore, gaps after abrasion can be effectively compensated, the problems of the service life and noise under the high rotating speed are solved, the dynamic coupling requirement is met, the problems caused by the gaps are also solved, the effect of absorbing noise generated by mutual collision in the component movement process is good, and the low-noise operation is kept.

The utility model provides a scheme of a three-plunger digital displacement pump based on a dynamic coupling actuating valve, which comprises three groups of flow distribution units, and each group of flow distribution units comprises a reciprocating plunger and two high-speed switch valves. The plungers are connected to the crankshaft through the connecting rods, in the rotating process of the crankshaft, the 120-degree phase difference is kept between the plungers, electrical energy consumption and throttling loss in the control process can be reduced, and the multi-plunger digital displacement pump can be expanded in the crankshaft direction according to requirements. The valve element of the check cartridge valve structure is lighter, and the switch valve has higher rated flow. The topological structure of the coupling iron core can significantly improve the transient mechanical property of the dynamic coupling actuator, and significantly reduces the operation time of the switching valve. A dynamic sealing system is converted into a static sealing system through the thin film sealing structure, the situation that magnetorheological fluid leaks and pollutes a hydraulic oil way can be completely avoided, and the motion resistance of the system is reduced.

The invention relates to the technical field of charging facility planning, and discloses an urban multi-type charging facility site selection and pricing method considering a traffic-power grid coupling network, and the method comprises the steps: constructing an electric vehicle user traffic balance model according to the traffic network data and the types of travel electric vehicle users; constructing a power distribution network optimal power flow model based on the electric vehicle charging and discharging process and the power distribution network cost; constructing a traffic-power coupling network model based on the electric vehicle user traffic balance model and the optimal power flow model of the power distribution network; a double-layer mathematical programming model is constructed, an upper layer model in the double-layer mathematical programming model is an electric vehicle multi-type charging facility site selection model, and a lower layer model in the double-layer mathematical programming model is a traffic-power coupling network model; and solving the upper-layer model based on a genetic algorithm to obtain addresses of the multiple types of charging facilities, feeding back the obtained addresses to the lower-layer model, and solving the lower-layer model based on an alternating iterative algorithm. According to the invention, multiple types of charging facilities are considered, and a more flexible charging network is constructed.

The invention relates to the technical field of power electronics, and discloses a power adapter control method for stabilizing a grid-connected inverter system, which comprises the following steps: S1, data acquisition and preprocessing, S2, power regulation modeling, S3, optimization control strategy solving, S4, optimal control signal generation, S5, control signal execution, and S6, real-time feedback and adjustment. The invention further provides a power adapter control system for stabilizing the grid-connected inverter system, the power adapter control system comprises a power grid state monitoring module, an optimization algorithm module, a feedback and adjustment module and an execution and adjustment module, and the power adapter comprises an input interface, a power conversion circuit, an output interface, a sensor module and a control unit. Through voltage-current-power coupling control, a self-adaptive adjustment mechanism, dynamic error compensation and intelligent parameter self-learning, high-precision power adjustment is realized, load change is quickly responded, grid-connected stability is improved, and long-term operation performance is optimized.

The invention discloses an agricultural irrigation load-containing intelligent farm virtual power plant model and an optimal scheduling method, and belongs to the field of power systems, and the model comprises the steps of constructing a typical scene based on an affinity propagation clustering algorithm, constructing an agricultural-power coupling relation model, and constructing a farm virtual power plant operation cost calculation model. The optimal scheduling method can achieve the operation effects of single-field stabilization, multi-field peak shifting, production guaranteeing and overall optimization, calculates the optimal regulation and scheduling scheme of the flexible resources of the intelligent farm virtual power plant according to the obtained typical scene operation random optimization strategy by using the regulation and control total cost model of the flexible resources of the intelligent farm virtual power plant, and achieves the optimal regulation and scheduling of the flexible resources of the intelligent farm virtual power plant. And obtaining a day-ahead scheduling strategy. According to the method, the regulation and control level of the intelligent farm virtual power plant can be effectively improved, distributed energy resources are effectively integrated and optimized, the energy utilization efficiency is improved, and the farm virtual power plant is promoted to develop in a more environment-friendly, efficient and flexible direction, so that the sustainable development target of an electric power-agriculture coupling system is achieved.

The invention discloses an automatic configuration method and system for a power supply loop, and relates to the technical field of intelligent power distribution. After a plug device is rotationally locked, an identity is read in a near field, and corresponding voltage and power templates are called; inputting the power template and bus real-time current into an edge algorithm to obtain residual capacity and generate an initial power distribution matrix; when the residual capacity is higher than a safety threshold value, a phase sequence, a breaking value and overcurrent delay are issued to the intelligent circuit breaker, and zero-voltage window spark-free closing is realized; during operation, load change is predicted, time dislocation and power coupling parameters are calculated, a peak regulation coefficient is obtained through fuzzy reasoning, and a non-critical load migration stabilizing peak value is triggered; and finally, synchronizing the identity, the power distribution matrix and peak regulation parameters to the digital twin model, and realizing self-learning, energy efficiency improvement and system stability improvement by means of a parallel simulation optimization rule and second-level multiplexing during similar access.

The invention discloses a double-fed fan decoupling control method and device based on dynamic feed-forward compensation, and belongs to the technical field of wind power generation. When the power grid frequency deviation in unit time and the power grid frequency change rate meet a first preset condition, starting an active compensation ring; and when the grid-connected point voltage deviation and the grid-connected point voltage change rate in unit time meet a second preset condition and the power grid frequency deviation and the power grid frequency change rate in unit time do not meet the first preset condition, starting a reactive compensation ring. According to the invention, adaptive control in consideration of the load sudden change degree and the system response capability is added, so that the power coupling rate can be greatly reduced, and adaptive frequency voltage decoupling support can be carried out on different load sudden change degrees; the problem of frequency and voltage stability caused by errors of the PLL under the condition that the doubly-fed fan is connected with a weak power grid is effectively relieved.