194 results about "Tidal current" patented technology

The invention relates to the technical field of coast engineering, in particular to a beach change evolution inversion method combining numerical simulation and actually measured data, which comprises the following steps: S1, acquiring an actually measured shoreline data set of a current period; s2, establishing a wave-tidal current-sediment coupling numerical model; s3, outputting a simulated shoreline data set; s4, performing spatial matching on the actually measured shoreline data set and the simulated shoreline data set to generate a spatial discrete residual field; s5, taking the spatial discrete residual field as a constraint condition, and reversely solving an optimal hydrodynamic parameter combination; and S6, inputting the optimal hydrodynamic parameter combination into the wave-tide-sediment coupling numerical model, and outputting the beach evolution form in the future period. According to the method, dynamic coupling of the hydrodynamic parameters and the beach evolution process is realized by constructing an inversion optimization mechanism based on actual measurement data driving, and the accuracy of shoreline change simulation and the reliability of prediction are greatly improved.

The invention discloses a disperse relaxation factor tidal current model based minimum electricity generating cost incremental quantity obtaining method. When a minimum electricity generating cost incremental quantity model only containing one balance node tidal current model is solved, the total demand unit change of a system is fixed on a balance node, and an obtained lambda, namely electricity generating cost minimum incremental quantity cannot reflect actual operation of the system in most cases during total demand unit change of a system. The disperse relaxation factor tidal current model based minimum electricity generating cost incremental quantity obtaining method adopts solves the provided model by means of an original antithesis interior point method, and the lambda of the system is controllable according to selected disperse relaxing factors.

The invention discloses an integrated energy system low-carbon scheduling method considering energy-carbon coupling, and the method is based on a carbon emission flow theory, is combined with the strong fitting capability of a neural network, proposes a carbon flow constraint learning method, converts a complex mapping relation between power flow and carbon flow into mixed integer linear constraint, and achieves the low-carbon scheduling of an integrated energy system. And effective embedding of the carbon flow constraint in the optimization model is realized. Meanwhile, in order to reduce the structural complexity of the neural network, a sparse training strategy is introduced, the model parameter scale is effectively compressed, a ReLU activation function is linearized through an improved large-M method, and a cut plane constraint is introduced to gradually tighten a feasible region, so that the solving efficiency of an optimization model is remarkably improved. And finally, embedding the carbon flow constraint model into the optimal scheduling problem of the integrated energy system, exciting the carbon emission reduction consciousness of the load side, and promoting the load side to perform low-carbon energy consumption adjustment by guiding the demand response behavior of the load side based on the carbon signal of the load side, thereby realizing low-carbon scheduling under energy-carbon coordination and reducing the overall carbon emission level of the system.

The invention relates to the technical field of coast engineering, in particular to an estuary sandy coast erosion and deposition simulation system based on the coupling effect of flood peak runoff, waves and tide, which comprises a training data generation module, an intelligent agent model construction module, a dynamic prediction engine module and a scene evaluation module. The training data generation module is used for outputting a hydrodynamic state field, a wave characteristic field, a bed surface shear stress field and a bed surface elevation variable quantity by utilizing a traditional numerical model to construct a training data set; the intelligent agent model building module is based on a deep learning network and introduces physical constraint loss function training to obtain an intelligent agent model; the dynamic prediction engine module loads the trained deep learning network to realize bed surface elevation variation prediction and update terrain boundary conditions; and the scene evaluation module executes erosion and deposition evolution simulation according to different hydrological boundary condition combinations and extracts terrain evolution data to quantitatively evaluate the coast stability and the channel deposition risk. The invention relates to the field of estuary dynamic landform simulation and coast engineering.

The invention relates to the technical field of port engineering construction, in particular to a tide wave joint test method and system based on multi-source data in port engineering construction. At present, the problems of insufficient data utilization, low test precision and the like exist in tide and wave joint test in port engineering construction. The method comprises the following steps: constructing a nested unstructured grid and dynamically configuring discrete parameters of a wave direction spectrum; a variation assimilation algorithm is adopted to optimize hydrodynamic parameters; solving a wave flow coupling equation to generate a combined field data set; the pile foundation stress is calculated in combination with an improved Morison equation, and a safety evaluation report is output through basin resonance characteristic analysis; the system sets corresponding modules to realize various functions based on the method. The device is mainly used for precise combined testing of tidal waves in port engineering construction so as to guarantee the safety of an engineering structure.

The invention relates to the technical field of data processing, and discloses a wind turbine generator optimization design method based on tidal current-wave-sediment coupling simulation. The method comprises the following steps: carrying out adaptive time step adjustment on marine environment data through a physical process intensity discrimination algorithm to obtain tidal current field, wave field and sediment transportation data; carrying out fluid-solid coupling calculation on the structural parameters of the wind turbine generator to obtain structural vibration response and ocean load distribution data, and predicting pile foundation scouring depth distribution; carrying out time-varying coefficient correction on the pile foundation bearing capacity parameters to obtain dynamic bearing capacity evaluation data; inputting a multi-objective optimization algorithm to obtain a Pareto optimal solution set; and obtaining a wind turbine generator optimization design scheme through engineering feasibility verification and screening. The technical problems that in existing offshore wind turbine generator design, tidal current-wave-sediment coupling simulation space-time scales are not matched, the pile foundation scouring prediction precision is insufficient, bearing capacity evaluation lacks time-varying characteristic consideration, and the multi-target optimization design capacity is insufficient are solved.

The invention relates to the technical field of port machinery loading and unloading, and provides a ship-shore linkage loading and unloading method and system suitable for a mast crane. The method comprises the steps that position data, course data and attitude data of a ship are obtained in real time through ship navigation equipment, and tide height data and tide flow velocity data of the sea surface are obtained in real time through tide monitoring equipment; inputting the obtained ship position data, course data, attitude data, tidal height data and tidal flow velocity data into a control system of the mast crane; the control system generates a corresponding control instruction according to the calculated dynamic compensation parameter, and sends the control instruction to a variable amplitude control system of the mast crane; the hoisting path and the hoisting posture of the mast crane are adjusted in real time through the variable amplitude control system according to the control instruction, so that the hoisting point is kept vertical and the stress is balanced in the equipment lowering process; in the whole hoisting operation process, the operation process is monitored in real time through monitoring equipment arranged on the mast crane and the ship.

The invention discloses a multi-parameter cooperative control underwater propeller turnover hoisting control method, particularly relates to the field of underwater propeller hoisting, and aims to solve the problem of unstable turnover control of a propeller under tidal current disturbance. The iteration interval of a high-risk section is compressed in time by means of self-adaptive step length mapping, then angle increment and target tension are synchronously corrected before the winding action by means of prediction correction circulation, and three-line linkage of angle adjustment, tension adjustment and environmental safety is achieved. The safety margin diagram is continuously refreshed under the driving of vibration and flow velocity dual information sources, and step length rollback is triggered once a node approaches a warning domain, so that potential oscillation is blocked in a germination stage. The synchronization reliability coefficient runs through the whole process, the winch synchronization quality is evaluated, real-time weighting is performed on step length mapping, and then a convergence path is kept close to a real balance channel. Therefore, the turning-over time is shortened, and the tension fluctuation amplitude is stabilized.

The invention relates to a local washout test method for a single-column composite barrel type foundation under an actual wave current condition. The method comprises the following steps: acquiring basic data of a target wind power plant area; determining a scale, and constructing a reduced scale physical model water tank according to similar conditions; parameters of the first two-way pump, the second two-way pump and the wave maker are determined through adjustment and measurement; excavating a test scour area, installing a reduced-scale single-column composite cylindrical foundation, and laying model sand; and carrying out a scouring test until scouring is balanced, recording the scouring depth and the scouring range, and converting the scouring depth and the scouring range into prototype quantities. According to the method, the superposition effect of actual rotating tidal current and waves in a sea area can be well simulated, the scouring form conforming to the sea area site is simulated, and therefore the local scouring condition of the single-column composite barrel type foundation under the actual wave current condition can be accurately judged.

The invention discloses an ROV ocean current and wake flow interference analysis method and system for an offshore wind plant, and the method comprises the steps: calculating tidal current velocity vectors of different depths of an ocean current shallow layer, and calculating a wake flow velocity vector; obtaining projection velocity components of tidal current velocity vectors of different depths of the ocean current shallow layer; the operation of the ROV is divided into a wake flow-free influence area, a wake flow and ocean current direction consistent influence area and a wake flow and ocean current direction opposite influence area; obtaining a projection velocity component of the wake flow velocity vector; according to the projection velocity component, constructing a final velocity calculation relational expression of the superposed ocean current and wake flow influence; calculating the final speed of the superposed ocean current and wake flow influence; and calculating the relative velocity component of the superposed ocean current and wake flow influence, and updating the relative velocity component in the damping matrix of the dynamical model of the ROV into the relative velocity component of the superposed ocean current and wake flow influence. According to the method, the problems of insufficient ocean current modeling dimension, no consideration of wake flow disturbance, weak path interference analysis capability and the like in offshore wind plant inspection ROV path interference analysis are effectively solved.

The invention discloses a marine environment spring layer characteristic diagnosis data processing method, and aims at complex dynamic characteristics of a land frame edge sea spring layer to realize accurate diagnosis through multi-source data cooperation and an intelligent algorithm. The method comprises the following steps: acquiring and preprocessing field observation, remote sensing, sonar, terrain and tidal ocean current data; extracting spatio-temporal characteristics based on a CNN-LSTM hybrid network, and generating a dynamic spring layer threshold; fusing multi-source data by adopting an improved D-S evidence theory, and constructing a three-dimensional spring layer characteristic field; predicting an internal wave in combination with an attention mechanism model, and optimizing a preorder model by using sonar data. The method breaks through the limitation of a fixed threshold value, realizes spring layer dynamic identification, three-dimensional reconstruction and internal wave prediction, improves the diagnosis precision of a complex sea area, and provides key technical support for underwater detection, engineering safety and environmental research.

The invention relates to the technical field of power systems, and discloses a wind and light output scene-oriented power system power flow data reconstruction method, system and device and a medium, and the method comprises the steps of constructing structured boundary input data; generating a voltage amplitude and a phase angle estimation vector of each node through a deep neural network model, and taking the voltage amplitude and the phase angle estimation vector as a power flow initial solution; performing physical constraint check on the initial solution, identifying out-of-limit nodes and determining an adjustable point set with reactive power regulation capability; and in the range of the adjustable point set, constructing an optimization function, solving to obtain a local adjustment quantity, correcting the initial solution, and generating a final power flow solution meeting the operation constraint of the power system. According to the method, data-driven modeling and physical constraint checking are fused, overall mapping is performed on a high-dimensional scene formed by wind and light output and load by using the deep neural network, the problem that the convergence performance is sharply reduced when the dimension is increased and the number of scenes is increased in a traditional iteration method is avoided, and rapid, stable and engineering-available power flow data generation is realized.

The invention relates to a power grid side energy storage two-stage locating and sizing method in a sea wind access scene considering the influence of temperature on a tide safety domain. The method comprises the following steps: adopting a temperature trend prediction model combining LSTM and TCN; a Gaussian mixture model is adopted to calculate a temperature variable capacitance expectation coefficient, and a power flow safety domain is reconstructed; establishing a random optimization scene set of source-load space-time coupling by adopting a typical source-load daily trajectory clustering method; establishing a power distribution network energy storage locating and sizing planning layer model taking the maximum comprehensive utility as a target; a power distribution network energy storage locating and sizing operation layer model with the minimum voltage fluctuation quadratic sum as the target is established; constructing a DistFlow multi-period optimal power flow model under the sea wind access scene; and solving the planning layer by adopting second-order cone relaxation, and carrying out secondary optimization on a charge-discharge and capacity configuration strategy on the operation layer by adopting a target cascade algorithm on the basis of anchoring a locating and sizing decision variable of the planning layer. According to the method, planning and operation targets can be more effectively coordinated, and comprehensive optimal configuration of power grid side energy storage is realized.

The invention discloses a power flow section out-of-limit elimination method based on section sensitivity hierarchical optimization adjustment, and relates to the field of electric power system operation control, and the method comprises the steps: collecting static operation boundary parameters of a non-market unit, constructing an initial non-market flexibility resource parameter library, and completing basic data standardization mapping; performing reading initialization on the initial data of the flexibility resources; taking the minimum adjustment amount as an optimization target, and respectively constructing optimization models based on section node sensitivity by utilizing four flexible resources, namely non-market unit output, new energy output prediction, bus load prediction and power flow section limit capacity; and performing priority ranking on the optimization models, outputting an optimization result and updating the corresponding non-market flexibility resource adjustment amount and the changed section power flow after optimization adjustment of the models with high priorities every time until the power flow section out-of-limit is completely eliminated. The method solves the problem that the traditional method is difficult to balance the fast limit elimination and the global economy target.

The present invention relates to the field of marine technology and engineering, and in particular to a floating wind power platform attitude control system. The present invention effectively controls the attitude of the floating wind power platform through the mutual cooperation between a measurement system, a control system, and a platform attitude control system, thereby providing good protection for the safe and stable operation of the floating wind turbine. At the same time, the platform attitude control system is provided with a second tidal energy power generation system to provide electrical energy for the electrical connection between the various systems, without additionally consuming the energy of the floating wind turbine, thereby improving resource utilization.

The invention relates to the technical field of offshore wind power engineering, in particular to an offshore wind power anti-scouring device which comprises a sea wind pile foundation, an anti-scouring cover, an energy storage assembly and a water spraying assembly. The energy storage assembly is arranged on the anti-scouring cover and used for converting water flow energy into electric energy, the water spraying assembly is connected with the energy storage assembly, and the water spraying assembly sprays water in the water flow direction; mechanical energy of tidal currents and waves around the sea wind pile foundation is converted into electric energy, then the electric energy is converted into water flow opposite to the tidal currents and the waves for energy dissipation, the design is ingenious, and the engineering feasibility is high.

The invention relates to the technical field of crossing of water conservancy and nuclear power engineering, in particular to a nuclear power water taking open channel flow field analysis method based on a physical model test, and solves the problems that flow field analysis in the prior art mainly depends on theoretical calculation or numerical simulation, flow field characteristics under the combined action of tidal current, waves, water taking operation and other factors are difficult to truly restore, and the flow field analysis accuracy is low. And the analysis result is greatly deviated from the actual analysis result. The method comprises the following steps: constructing a physical model for accurately simulating key facilities such as a water intake, a drain grating net and a pump room, setting multiple typical working conditions, carrying out a flow field simulation test, and recording data such as a flow velocity, a flow direction and a water level. Through a physical model test means, actual water flow characteristics under a complex marine environment and various working conditions can be reflected more truly, the accuracy and reliability of flow field analysis are remarkably improved, and a scientific basis and technical support are provided for design, operation and risk assessment of a water intake system of a nuclear power plant.

The invention provides a hydrodynamic environment forecasting method and system for green navigation of coastal ships, and relates to the technical field of navigation. Aiming at the problem of relatively low accuracy of a forecast result in the prior art, the method comprises the steps of obtaining a calculation boundary condition; monitoring mark stations are arranged at the key positions, and actually-measured hydrodynamic environment data and actually-measured storm data are obtained; establishing a tide wave coupling numerical model according to calculation boundary conditions, and performing model calibration according to measured data; the calibrated tidal current wave coupling numerical model outputs initial environment forecast data according to calculation boundary conditions; comparing the actually measured real-time data with the initial environment forecast data to obtain forecast deviation; and dynamically correcting the calibrated tide wave coupling numerical model in a periodic manner according to the forecast deviation, and correcting the tide wave coupling numerical model to output final environment forecast data according to calculation boundary conditions. The periodic dynamic correction mode accurately adapts to the change characteristics of tidal current and waves, small deviation of each period is eliminated in time, and the accuracy of a forecast result is improved.

The invention relates to a coastal vegetation revetment efficiency evaluation method, which comprises the following steps: S1, on the basis of field measurement or remote sensing data, collecting meteorological and hydrological elements and topographic and geomorphic data of a target coast; s2, quantifying key characteristic parameters of vegetation, wherein the key characteristic parameters comprise a planting scheme, a vegetation diameter, a height and a form; s3, constructing a tidal water power-vegetation coupling model, analyzing an interaction mechanism of a tidal current field and vegetation, and quantitatively evaluating the vegetation bank protection efficiency from the aspect of tidal current flow velocity weakening amplitude; s4, establishing a wave-vegetation coupling model, simulating a vegetation wave dissipation and energy consumption process, and quantitatively evaluating the vegetation bank protection efficiency from the aspect of wave reduction amplitude; and S5, integrally constructing a hydrodynamic force-wave-sediment-vegetation coupling numerical model, and quantitatively evaluating the vegetation bank protection efficiency from the aspect of bank slope form change.

The invention discloses a quantitative prediction method for the scouring rate of an offshore wind power pile foundation based on machine learning, and the method comprises the steps: collecting historical multi-source topographic observation data, and generating a topographic spatio-temporal evolution graph; collecting tidal current sediment dynamic field data to obtain calibrated tidal current sediment dynamic field data; constructing a learnable terrain disturbance mapper, and outputting a seabed digital elevation field at a target prediction moment; constructing a physically-driven attention guidance dual-channel diffusion network; respectively obtaining a local scouring rate prediction field and an overall state evolution rate prediction field; outputting the scouring rate prediction result data and the scouring depth prediction result data of the surrounding area of the pile foundation; generating updated scouring rate prediction result data and updated scouring depth prediction result data; and a pile foundation collaborative protection scheme is automatically generated. According to the method, collaborative protection optimization design of local scouring and overall scouring of the offshore wind power pile foundation is achieved, and the protection effect and economic benefits are remarkably improved.

The invention relates to the technical field of landform prediction, in particular to a tidal flat evolution prediction method and system based on a landform model. Comprising the following steps: acquiring landform data, environmental parameter data and biological membrane characteristic data of a target tidal flat area; the landform data comprises water depth distribution and sediment porosity; the environmental parameter data comprises tidal flow velocity, fluid shear force, illumination intensity and water body temperature; the biological membrane characteristic data comprises biological membrane thickness obtained by in-situ sampling; constructing a dynamic viscosity coefficient model of the biological membrane based on the thickness of the biological membrane and the temperature of the water body; the dynamic viscosity coefficient model represents a nonlinear enhancement effect of the biological membrane on the viscosity of the sediment; establishing a biofilm growth rate feedback model based on the water depth distribution and the illumination intensity; the feedback model quantifies the coupling relationship between the biofilm growth of the sedimentation area and the microtopographic factor; according to the method, the problem of evolution prediction misalignment under the dynamic interaction of the environmental factors can be solved.

The invention discloses an offshore wind power-marine ranch collaborative development method, and belongs to the field of comprehensive development and utilization of marine resources. Comprising the steps that ecological adaptation parameters of a net cage and a wind power pile foundation are determined by collecting ecological data of different water depths; a genetic algorithm is used for simulating the influence of pile foundation layout on hydrodynamic force, and the net cage space distribution proportion is optimized; combining water depth and tidal current characteristics to generate pile foundation and net cage differentiation design parameters; a modular parallel construction process is adopted, and a construction time cooperation plan is made; a digital twinning virtual interaction platform is constructed, and operation parameters are optimized in real time; deploying a sensor network, and obtaining pasture management real-time data; biological attachment and water quality change are analyzed, a pile foundation ecological coating is designed, and ecological restoration parameters are generated; the surplus wind power is used for driving a pasture water pump and oxygenation equipment, and energy and ecology collaborative power distribution is achieved. Multi-dimensional cooperation of wind power and the pasture in space, time, energy and ecology is achieved, and the resource utilization rate is increased.

The present application relates to the technical field of ship transportation prediction, and is a ship transportation time intelligent prediction method and system based on multi-source data fusion.The method comprises the following steps: obtaining ship historical data, collecting weather data, tidal current data and AIS historical trajectory data respectively; extracting weather features of a route based on space-time weighting, and constructing a weather feature vector; extracting tidal current features of the route based on multi-site weighted fusion, and constructing a tidal current feature vector; extracting ship historical portrait features based on AIS trajectory, and constructing a ship historical portrait feature vector; constructing a sailing time prediction model based on an XGBoost model, and training the sailing time prediction model by using time sequence sliding window cross-validation; constructing an anchorage waiting time prediction model based on a Stacking ensemble learning algorithm; performing timing prediction service by using the sailing time prediction model and the anchorage waiting time prediction model, and calculating the total transportation time of the ship according to the prediction result.

The invention discloses a dredged soil dumping disposal condition simulation and prediction method. The method comprises the following steps: collecting and sorting parameter information; a dumping area hydrodynamic numerical model is established, and numerical simulation is conducted on the characteristic wave and tidal current flow field conditions; establishing a ship three-dimensional model, establishing a ship motion response model under the hydrodynamic condition by combining with numerical simulation results of waves and flow fields, calculating the motion condition of an operation ship under the action of waves and tidal currents, and performing simulation prediction on the sediment source intensity position and the motion condition in the dredged soil dumping operation process; building a sediment movement numerical model in the dredged soil underwater deposition and transportation process by using the parameter information and combining a hydrodynamic numerical model and a ship movement response model, and performing deposition and transportation prediction on the dredged soil poured into water; and analyzing a calculation result of the sediment movement numerical model to obtain a deposition transportation rule of the dredged soil. By means of the method, prediction of underwater sediment movement and the accumulation form of the underwater sediment is closer to the reality, and guidance is provided for dredged soil dumping operation.

This invention belongs to the field of coastal engineering and ecological restoration technology. It discloses a method for optimizing the design of beach ecological restoration trenches based on hydrodynamic simulation. The method includes: collecting beach hydrological datasets, topographic datasets, and ecological datasets, and preprocessing them. The hydrological dataset includes wave data, tidal current data, storm surge data, and sediment transport data. The topographic dataset includes shoreline slope, beach elevation, underwater topography data, and sediment source storage data. The ecological dataset includes tidal flat vegetation distribution, benthic organism density, ecologically sensitive area range, and water environment quality data. This invention, through the coupled processing of hydrological, topographic, and ecological multi-source datasets, obtains hydraulic reference values ​​and topographic adaptation values ​​for the trench, directly reflecting the regional dynamic conditions and the degree of topographic adaptation, significantly reducing the workload of manual calculation and trial and error.

The invention relates to the technical field of pile foundation engineering, in particular to a pile-anchor composite foundation for improving the bearing capacity of a single pile and a construction method, the pile-anchor composite foundation comprises the single pile and an anchoring body, the anchoring body is arranged on the single pile in a sleeving mode, the anchoring body comprises a pile embracing disc and an anchor fluke, and the anchor fluke is installed on the pile embracing disc in the circumferential direction and extends downwards. The device can be installed in a rear-mounted mode after primary sinking of a single pile, the pile sinking procedure does not need to be additionally added, and the device is suitable for the complex construction environment of ocean engineering. The anchor flukes are uniformly distributed along the circumferential direction, can bear wave and tidal current loads in multiple directions, and are adaptive to a complex marine environment; the buckling resistance of an anchoring body is enhanced through a triangle-like area formed by the supporting arches, and effective transmission of force is ensured through rigid connection of the sleeve and the single pile.

The present application relates to the technical field of geomorphology prediction, in particular to a tidal flat evolution prediction method and system based on a geomorphology model. The method comprises the following steps: obtaining geomorphology data, environmental parameter data and biological membrane characteristic data of a target tidal flat area; the geomorphology data comprises water depth distribution and sediment porosity; the environmental parameter data comprises tidal current velocity, fluid shear force, light intensity and water temperature; the biological membrane characteristic data comprises biological membrane thickness obtained by in-situ sampling; a biological membrane dynamic viscosity coefficient model is constructed based on the biological membrane thickness and the water temperature; the dynamic viscosity coefficient model represents a nonlinear enhancement effect of the biological membrane on sediment viscosity; a biological membrane growth rate feedback model is established based on the water depth distribution and the light intensity; the feedback model quantifies the coupling relationship between biological membrane growth in a deposition area and microtopographic factors; the present application can solve the problem of inaccurate evolution prediction under dynamic interaction of environmental factors.

This ocean current power generation system includes a floating body that floats on the sea surface, a rope body connected to the floating body, a support column of which an end part is connected to the rope body or passes through the rope body inside a vertically extending cylinder, a power generation device connected to the support column, a first mooring rope connected to a first anchor fixed to a quay or the seabed, and a power transmission cable that is wound around the mooring rope and extends.

This invention relates to the field of power distribution network technology and discloses a direct-connected integrated energy storage-power flow conversion device and its control method. It employs a direct-connected multi-module series-parallel composite topology, organically integrating multiple functions—power flow conversion module, energy storage module, voltage support and current limiting module—into a single device. Based on a hierarchical coordinated control architecture designed for the three functional circuits, it achieves flexible and precise control of power flow between the two-terminal grids and efficient coordinated management of the energy storage units within the device. It also provides active voltage support and transient fault current limiting protection for the sending-end grid. This integrated design significantly reduces equipment redundancy, simplifies the overall system architecture, and, through the internal coordinated control of each functional module, significantly improves the device's operational reliability under complex conditions such as power flow reversal, load surges, and transient faults.

According to the power generation quality control method and system of the tidal current and wind power composite power generation system, the novel power generation quality control method is designed on the basis of a traditional composite power generation system, numerical simulation is conducted by monitoring environmental physical parameters in real time, and the output power of a wind turbine and the output power of a water turbine are obtained; and calculating a power supply and demand error and a corresponding error change rate, and realizing power proportion adjustment of different types of power generation units by utilizing PID control and a preset priority strategy. Compared with a traditional hybrid power generation system which independently controls different power generation units, the hybrid power generation system has the advantages that the hardware cost and the communication delay can be reduced by adopting a unified control mode, and the power output stability is enhanced while the power generation efficiency of the hybrid power generation system is improved.