122 results about "Tidal current" patented technology

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 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 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 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 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 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 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.

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.

The invention provides a double-layer planning method for a rotary power flow controller and a distributed energy storage system, and belongs to the technical field of optimal configuration of a power distribution network. The method comprises the following steps: aiming at the addressing and sizing problems of a rotary power flow controller and a distributed energy storage system, taking the minimum annual comprehensive investment cost of a power distribution area as a first objective function, and constructing an economical-efficiency-based rotary power flow controller and distributed energy storage system upper-layer planning model based on an economical-efficiency objective; based on the upper-layer optimization model, taking the comprehensive bearing capacity of the power distribution area as a second objective function, and based on a lower-layer optimization model of the rotary power flow controller and the distributed energy storage system of the comprehensive bearing capacity of the power distribution area; and an optimization result obtained by solving the lower layer is fed back to the upper layer, the upper layer carries out optimization again, the overall optimization process is completed after multiple iterations, and finally a rotary power flow controller and distributed energy storage system planning scheme based on the economical efficiency and the comprehensive bearing capacity is output.

The utility model relates to offshore wind power engineering technical field especially relates to a kind of offshore wind power scouring prevention device, including sea wind pile foundation, energy storage component and water spraying component, the energy storage component is used to convert water flow energy into electric energy, the water spraying component is connected with energy storage component, the water spraying component is towards water flow direction and sprays water;The energy storage component and water spraying component are provided with multiple groups and are arranged around sea wind pile foundation;Mechanical energy of tidal current, wave around sea wind pile foundation is converted into electric energy, then electric energy is converted into water flow opposite to tidal current, wave and carries out energy dissipation, design is ingenious, with stronger engineering implementability.

This invention provides an adaptive operation control method for tidal current power generation load conditions, comprising: when the tidal current velocity increases and the fixed-pitch propeller generator meets the adjustment conditions, adjusting the current control mode according to the following strategy: specifically, when the current control mode is torque mode, the next control mode is rated speed mode; when the current control mode is rated speed mode, the next control mode is low rated speed mode; when the current control mode is low rated speed mode, the next control mode is shutdown mode; when the tidal current velocity decreases and the fixed-pitch propeller generator meets the adjustment conditions, adjusting the current control mode according to the following strategy: specifically, when the current control mode is torque mode, the next control mode is shutdown mode; when the current control mode is rated speed mode, the next control mode is torque mode; when the current control mode is low rated speed mode, the next control mode is rated speed mode. This invention improves the operational safety of the generator set.

According to the built-in coupling damper of the offshore wind power pile foundation, electromagnetic eddy current damping and hydrodynamic force damping are combined, a magnetic mass block moves in a magnetic field of a permanent magnet retainer to generate eddy current heat dissipation, meanwhile, a turbulent flow mass block is driven by tide in seawater in a pile to form additional fluid damping, and therefore the damping effect is improved. And dual conversion from vibration energy to heat energy and kinetic energy is realized. Compared with a traditional viscous oil cylinder damper, when the wave frequency is close to the structure frequency, the vibration amplitude can be reduced, and accumulation of the wave limit load and the fatigue load is remarkably relieved. Through dynamic coupling of the magnetic damping unit and the fluid mass block, a mass-spring-damping system is formed, low-frequency shaking of a fan tower and high-frequency vibration of a pile foundation are effectively restrained, and the device is suitable for the complex load environment brought by offshore wind power large-scale and deepwater.

The utility model provides an ocean current or tidal current monitoring digital display device which comprises a power supply unit, an acquisition unit, a processing unit, a control unit and a display unit. The LED lamp bead matrix of the display direction of the display unit is red LEDs and is formed by arranging a plurality of LED lamp beads into four letters of W, S, E and N, and different letter light-emitting combinations at night represent eight azimuth angles; the LED lamp bead matrix for displaying the numbers is red LEDs and is formed by combining six transverse LEDs, eight longitudinal LEDs and one point, and the numbers between 0 and 9.9 are formed through different light-emitting modes at night. And the acquisition unit, the processing unit and the control unit are integrated in the same control device. The power supply unit comprises a monocrystalline silicon photovoltaic solar panel and a lead-acid maintenance-free storage battery, the lead-acid maintenance-free storage battery is installed in the control box, and the monocrystalline silicon photovoltaic solar panel is installed on the top of the control box; the ocean current (tidal current) monitoring digital display device is reasonable in structural design and meets the requirements of the ocean current (tidal current) monitoring digital display device.

The invention discloses a comprehensive evaluation method and system for offshore sea conditions, and relates to the technical field of marine hydrology and marine wind energy resource utilization. The method comprises the steps of obtaining an initial data set of a wind field, a shoreline, water depth and a tide level of a sea area to be researched, and generating a prediction data set through a hydrodynamic force and wave bidirectional coupling numerical model; a hierarchical hyper-parameter optimization strategy is adopted to carry out iterative adjustment on model parameters, and the relative error is controlled within 5% in combination with measured data; and fusing a typhoon field and a background wind field to generate extreme working condition data, carrying out comprehensive analysis on characteristic parameters of tides, waves, tidal currents and storm surge on prediction data output by the model, and generating a sea condition comprehensive evaluation report. According to the method, the model parameter calibration efficiency and simulation precision are improved, the survey cost of offshore sea condition evaluation is reduced, and the method can be widely applied to site selection and feasibility analysis of offshore engineering such as offshore wind power and port construction.

This application relates to the fields of deep learning and intelligent transportation technology, and discloses a method and system for predicting ship travel services based on deep learning. The method includes the following steps: generating supply and demand time-series feature tensors, tidal current vector fields, and wind speed vector fields based on meteorological and hydrological forecast data, automatic identification system data, battery management system data, and travel order data; calculating a bidirectional equivalent navigation energy consumption matrix along the directed channel edge of the physical wharf node; mapping the updated feature tensor by the absolute value of the difference and the energy consumption threshold mask, and connecting the weight matrix after a discharge energy threshold truncation operation; generating a decay factor as a compensation feature tensor using the tidal current time-series gradient; inputting the supply and demand gap prediction value into the spatiotemporal graph neural network and issuing navigation deployment instructions. This invention adopts a technical solution of projecting the tidal current and wind speed vector fields onto the directed channel edge and calculating the bidirectional equivalent navigation energy consumption matrix between adjacent nodes, achieving the technical effect of constructing an asymmetric navigation topology network.

The present application provides a kind of water power environment prediction method and system for green navigation of coastal ship, it is related to navigation technical field.For the problem of low accuracy of prediction result in prior art, the present application obtains calculation boundary condition;Monitoring beacon is arranged at key position, and measured water power environment data and measured wind wave data are obtained;According to the calculation boundary condition, a tidal wave coupling numerical model is established, and the model is calibrated according to the measured data;After calibration, the initial environmental prediction data is output by the tidal wave coupling numerical model according to the calculation boundary condition;The prediction deviation is obtained by comparing the measured real-time data with the initial environmental prediction data;The calibrated tidal wave coupling numerical model is dynamically corrected according to the prediction deviation, and the final environmental prediction data is output by the tidal wave coupling numerical model according to the calculation boundary condition.The periodical dynamic correction mode accurately adapts to the change characteristics of tidal current and wave, and timely eliminates the slight deviation of each period, so as to improve the accuracy of prediction result.

The invention discloses a combined pile sinking positioning and guiding platform, and relates to the field of wind power pile foundations. The guiding platform comprises a supporting frame and a positioning frame, wherein the supporting frame comprises at least three supporting components; the positioning frame comprises a connecting sleeve and a guide cylinder. The supporting frame and the positioning frame are designed to be of a combinable structure, and the supporting component can be vertically inserted from the lower portion and fixed into the connecting sleeve, so that the supporting frame and the positioning frame are rapidly connected into a whole on the installation site. By means of the design, the problem that a traditional integral supporting frame needs to be hoisted in place at a time through a large ship machine can be solved, the influence of waves and tidal currents in the deepwater environment on the positioning precision is reduced, the supporting frame is allowed to be independently installed firstly, preliminary adjustment is conducted, then the positioning frame is installed, and therefore the positioning flexibility and precision are improved. Meanwhile, the combined structure can flexibly adjust the number or layout of the supporting components according to actual engineering requirements, the adaptability to complex geology such as soft soil or rock is enhanced, and the construction risk can be reduced.

The present application relates to the field of water traffic technology, and more particularly to a kind of pure battery power ship's voyage endurance optimization control method.The technical scheme includes: through the real-time acquisition of ship operation and sea state data by multi-sensor fusion, energy change model under the action of wave potential energy and tidal kinetic energy is constructed, energy envelope curve reflecting the cooperative relationship between battery energy and external energy is generated, central control system dynamically adjusts propelling power and rudder angle according to the curve, energy-saving navigation matching with wave period is realized, when detecting continuous wave rising section, intermittent propelling mode is triggered, so that ship body glides with the help of wave potential energy to reduce energy consumption, and the system uses self-learning algorithm to combine historical navigation and real-time sea state data to iteratively optimize control parameters.The present application successfully converts marine environment from resistance source to boost force by integrating environmental perception, energy modeling, intelligent decision-making and cooperative control, and realizes the improvement of pure battery power ship's voyage endurance capability.

The utility model is suitable for the technical field of electric power construction, provides a kind of offshore wind power foundation anti-scouring sleeve structure, including anti-scouring sleeve main part, the anti-scouring sleeve main part is set to offshore wind power foundation pile column periphery;Wherein, the anti-scouring sleeve main part is divided into continuously connected reverse-arc section sleeve and soil-entry section sleeve;The tangent of the upper edge of the reverse-arc section sleeve is parallel to the axial direction of offshore wind power foundation pile column.This scheme provides offshore wind power foundation anti-scouring sleeve structure, solves the current offshore wind power foundation pile column by tidal current, wave and tide effect, leads to the problem of soil loss of soil layer around pile.

The invention discloses a ship energy efficiency real-time optimization and autonomous navigation system based on deep reinforcement learning, which relates to the technical field of intelligent ships and maritime engineering, and comprises a tide sensing module, an energy efficiency identification module, a coupling threshold control module, a reference weight balance module and a phase traction module, the method comprises the following steps: collecting continuous flow velocity data to construct a time synchronization perception chain, analyzing sudden change of a tidal current direction and shear gradient change, generating a high-risk fingerprint zone and determining a tail anchor point; dynamic linkage control over the ship energy efficiency and the hydrodynamic state is achieved through deep reinforcement learning, real-time response to sudden change of the tidal current is achieved through a tidal current sensing and energy efficiency self-adaption mechanism, energy efficiency and structural safety are coordinated through a coupling threshold control and phase traction mechanism, vibration accumulation and energy efficiency locking are prevented, and the ship energy efficiency and hydrodynamic state dynamic linkage control method is suitable for ship energy efficiency and hydrodynamic state monitoring. Track balance and energy efficiency optimization are realized, and the navigation safety and the energy utilization rate are improved.

The application provides an affine harmonic current calculation method considering new energy harmonic emission characteristics, comprising the following steps: step 1: considering the influence of meteorological conditions, dead zone effect, control time delay and background harmonic, an affine model of harmonic sources of wind power and photovoltaic is established to accurately describe the uncertain harmonic emission characteristics of wind power and photovoltaic; step 2: according to the power characteristics of new energy power generation under the influence of different reactive power control strategies, an affine model of the machine-grid interface of new energy power generation is constructed; step 3: an affine Ybus Gauss iteration algorithm based on reactive power prediction-correction is used to solve the fundamental wave current of the power grid to obtain the operating point of the harmonic source; step 4: an affine overrelaxation iteration method is used to solve the harmonic current equation, and the interval range of the harmonic state quantity is obtained through the alternating iteration of the fundamental wave and the harmonic; the application of the technical scheme can accurately solve the uncertain harmonic current of the new energy power grid, thereby providing a reference for the grid connection planning and harmonic control and suppression of new energy power generation.

A system, adapted for correcting an effect of an external disturbance on a boat. The system includes a control unit including a processor configured to function as: a disturbance obtaining unit, that obtains disturbance information of the boat, the disturbance information of the boat including at least one of a flow direction of the boat, a flow speed of the boat, or a rotation direction of the boat while a propulsion unit of the boat is stopped; a switching unit, that switches a control mode of the control unit to an automatic driving mode; a setting unit, that sets a steering route of the automatic driving mode, wherein, when the control mode is switched to the automatic driving mode, the control unit controls an automatic steering of the boat based on the disturbance information of the boat and the steering route of the automatic driving mode.