2850 results about "Offshore wind power" patented technology

The invention relates to the technical field of wind turbine generator data analysis, and discloses an offshore wind turbine generator operation data analysis and prediction system. The system comprises a marine environment data integration module for collecting data to generate a multi-source time-space synchronization data set; the multi-modal feature fusion module is used for extracting cross-modal correlation features to generate a high-dimensional fusion feature tensor; the dynamic fault prediction module is used for constructing a two-way gating circulation network model to predict the degradation probability and the residual life of key components of the equipment; and the self-adaptive optimization control module is used for constructing a multi-target dynamic programming model to optimize a fan operation strategy. In addition, the system is further provided with a feedback correction module for correcting prediction model parameters, and a virtual sensor module based on a physical information neural network is used for monitoring tower stress and diagnosing sensor faults. According to the system, comprehensive monitoring, accurate fault prediction and optimal control of the offshore wind turbine generator are realized, the operation efficiency, reliability and safety of the wind turbine generator are effectively improved, and the operation and maintenance cost is reduced.

The invention relates to an offshore energy platform coordinated scheduling method based on multi-energy complementation and hierarchical optimization, which combines multi-energy complementation characteristic modeling, multi-target opportunity constraint optimization and rolling optimization, and realizes offshore multi-energy coordinated scheduling by constructing a hierarchical decoupling optimization and control system. Based on prediction and historical data of multiple types of energy such as offshore wind power, photovoltaic energy and tidal energy, complementarity and flexibility of the energy are quantified, high-quality data support is provided for scheduling optimization, a day-ahead layered optimization model containing renewable energy priority consumption and flexible standby configuration is constructed, and a medium-and-long-term output strategy is formulated. Output of various energy sources is dynamically adjusted through a rolling optimization mechanism, and flexible response to renewable energy fluctuation is achieved. And finally, second-level frequency and voltage support is realized by using a virtual synchronous machine and droop control, and the self-adaptive capability of the system is enhanced. According to the invention, the cooperative regulation capability and operation stability of the offshore platform multi-energy system can be effectively improved, and the dependence on a traditional standby power supply is reduced.

The invention relates to the technical field of power system stability control, in particular to a broadband oscillation suppression method and system for an offshore wind power flexible direct current grid-connected system and a medium, and the method comprises the steps: sequentially injecting positive and negative sequence perturbation sine harmonic signals at a grid-connected point of a wind turbine generator, constructing a multi-input multi-output impedance matrix, reducing the order of the multi-input and multi-output impedance matrix into single-input and single-output equivalent positive sequence impedance; the stability margin of the offshore wind power flexible direct current grid-connected system is obtained based on equivalent positive sequence impedance quantification; when the stability margin is lower than a preset margin threshold value, reconstructing the fan grid-side converter into a matrix control structure by cascading a weighting coefficient matrix between the inner and outer ring control loops of the fan grid-side converter; and iteratively optimizing the matrix type control structure based on impedance sensitivity, and synchronously connecting a low-pass filter in series in a voltage and current feedback channel to carry out impedance remodeling so as to finish broadband oscillation risk suppression. According to the invention, broadband oscillation suppression of the offshore wind power flexible direct current grid-connected system is realized through impedance modeling and a matrix type control strategy.

An offshore wind power plant composite ring current collection system topology planning method based on an N-1 safety criterion comprises the following steps that S1, wind power plant basic data including wind turbine and transformer substation node coordinates, wind turbine rated power, cable electrical parameters and the like are obtained; s2, generating a candidate cable set and a cable cross avoidance constraint pair set based on the basic data; s3, a scene set containing a normal scene and all single cable fault scenes is constructed, an optimization model with the minimum total cost of the whole life cycle as the target is established, and cable construction / operation variables and direct current power flow power balance, node degrees and cable cross avoidance constraints are integrated; s4, solving the model to obtain an initial topology scheme; and S5, carrying out full fault set N-1 security verification on the initial scheme, and bringing a violation scene into a fault set to resolve until the scheme meets an N-1 criterion. According to the method, through non-predefined topological optimization and planning, reliability and economical efficiency are taken into consideration, calculation complexity is reduced, and the method can be expanded to a cross-substation scene.

The invention relates to the technical field of offshore wind power, and discloses a bearing performance degradation evaluation method for an offshore wind power foundation structure, which effectively solves the problem of neglecting corrosion heterogeneity in the prior art by acquiring initial three-dimensional geometric point cloud data and historical service data and constructing a first finite element model. The model better fits the actual structure state; the local damage evolution and cumulative effect are simulated by means of a second finite element model, meanwhile, material degradation evaluation is combined, the interaction of three key factors including corrosion thinning, local damage and material mechanical property degradation is comprehensively considered, and the defect that the multi-factor coupling influence is not fully solved in the prior art is overcome; the extreme environment load condition is introduced to construct the third finite element model, the performance degradation law of the structure in the extreme environment can be analyzed, and then the reliability and applicability of evaluation are improved by establishing a mathematical relation model and predicting the full life cycle bearing performance.

An offshore wind power plant current collection system optimization method considering cable type selection comprises the following steps: S1, acquiring wind power plant basic data including fan and transformer substation coordinates, fan rated power, multi-specification cable electrical and cost parameters and the like; s2, on the basis of the basic data, generating a candidate cable set by using clustering partitions and a distance threshold value, completing candidate set reduction, and synchronously generating a cable crossing avoidance constraint pair set; s3, an optimization model with the minimum total cost of the whole life cycle is established, the double-side ring path does not need scene variables, and the composite ring path needs to integrate scene driving variables; s4, carrying out path accelerated solution, carrying out hot start on a double-sided ring, carrying out cross constraint simplification, and carrying out additional fault set dimension reduction on a composite ring to obtain an initial scheme; and S5, performing full fault set N-1 verification on the initial scheme, bringing a violation scene into a fault set for resolution until the scheme meets an N-1 criterion, and outputting a final result. According to the method, topology and cable type selection integrated optimization is realized, and the solving quality and efficiency are considered.

The invention discloses a multi-modal offshore wind power ultra-short-term prediction method in the field of offshore wind power plant cluster power prediction, and aims to solve the technical problems of spatial-temporal feature splitting and insufficient dynamic dependency relationship modeling. The method comprises the steps of performing anomaly detection and restoration on fan data, and generating a corrected wind power cluster data set; extracting a mean value, a standard deviation and a latest value of core operation data of each fan through a dynamic time window, and constructing a multi-dimensional node feature; a static geographic similarity matrix is generated based on geographic coordinates, a basic wake effect matrix is generated in combination with real-time wind direction data, correction is carried out through the maximum mutual information quantization time-delay effect, and then a dynamic adjacency matrix is obtained through self-adaptive fusion; and integrating the multi-dimensional node features and the dynamic adjacency matrix into a space-time diagram sequence data architecture, inputting the space-time diagram sequence data architecture into a multi-scale wake flow perception diagram space-time prediction model, and outputting a multi-fan power prediction value. According to the invention, high-precision multi-fan power prediction can be realized.

The invention provides an offshore wind turbine generator fault diagnosis method and system based on multi-source sensor data fusion. The method comprises the steps that a vibration signal from at least one component of a wind turbine generator is acquired through a vibration sensor; performing time-frequency conversion on the vibration signal by applying synchronous compression wavelet transform to obtain time-frequency representation of the vibration signal; when the reconstruction error exceeds a preset threshold value, it is judged that an abnormal event exists in the vibration signal; obtaining the position of a part corresponding to the abnormal event; starting an image sensor and an acoustic sensor according to the position of the component, and acquiring an image signal and a sound signal of the component according to the image sensor and the acoustic sensor; according to the DS evidence theory, the vibration signal, the image signal and the sound signal, obtaining the confidence of the fault type; the fault type of the component is judged according to the maximum confidence allocation principle, high-resolution time-frequency analysis can be achieved through synchronous compression wavelet transform (SST), and the fault feature identification degree is improved in combination with the self-encoding neural network and the D-S evidence theory.

The invention discloses an offshore wind power plant micro-siting optimization method considering regular layout. The method comprises the following steps: firstly, obtaining wind data, wind power plant parameters, fan parameters and wake flow parameters; performing multi-angle rotation on the wind power plant based on an equivalent rotation coordinate method, constructing a gridding mixed integer quadratic programming model, and performing rotation rule layout optimization (RRLO-1) to obtain an initial fan layout; on the basis of the initial layout, a hybrid algorithm (GA-ISSA) of a genetic algorithm and a sparrow search algorithm is adopted, the position of a draught fan and the rotation angle of the wind power plant are finely adjusted, and fine rule layout optimization (RRLO-2) is completed; and finally, the wake flow influence is calculated through a Cosine wake flow model and a quadratic sum superposition model, a fan power curve is processed in a piecewise linearization mode, and the final layout is output by taking the maximization of the total generating capacity as the target. According to the method, a fan position configuration scheme meeting the engineering rule layout requirement is provided for early-stage planning of the offshore wind plant, the wake effect is reduced, the power generation efficiency is improved, and development of the offshore wind power industry and low-carbon target implementation are facilitated.

The invention relates to the technical field of monitoring, in particular to a method and system for detecting and evaluating the corrosion risk of an offshore wind power steel structure. The method comprises the following steps: acquiring corrosion environment parameters and corrosion response parameters of a corrosion area in the offshore wind power steel structure; according to the corrosion environment parameters and the corrosion response parameters, the real-time corrosion rate of the corrosion area is determined; determining a local stress concentration factor of the corrosion area according to the three-dimensional scanning characteristics of corrosion deposits in the corrosion area; the dynamic pressure parameters of the marine environment serve as dynamic boundary conditions, the real-time corrosion rate and the local stress concentration factor serve as the basis, and the structural rigidity degradation amount of the steel structure in the corrosion area is determined through finite element iteration; according to the structural rigidity degradation amount, the structural safety coefficient of the steel structure in the corrosion area is determined; and determining the corrosion risk of the steel structure in the corrosion area according to the dynamic pressure fluctuation range of the marine environment and the structure safety coefficient of the steel structure in the corrosion area.

The invention discloses an offshore wind power fault monitoring method based on a knowledge graph and digital twinning, and aims to solve the problems that multi-source data acquisition is dispersed, the transmission delay is high, and real-time convergence and integration are difficult to realize in the operation state monitoring of offshore wind power equipment. According to the invention, the following modules are provided: a multi-source data acquisition layer is used for solving the problems of dispersed data acquisition and transmission lag and ensuring the real-time performance; the knowledge graph construction module is used for solving the problems of extraction, fusion and storage of equipment entity relationships; the digital twin modeling module realizes visual presentation and accurate simulation of the state of physical equipment; the fault monitoring reasoning module solves the problems of anomaly detection and root cause positioning; the intelligent early warning decision module determines an early warning level and efficiently matches a solution; the visual interaction module solves the problems of scattered information display and poor linkage, supports third-party docking, realizes accurate early warning and root cause positioning, improves the decision-making efficiency, adapts to severe environments, supports large-scale wind power plant monitoring, and reduces the operation and maintenance cost.

The invention discloses a fault ride-through test method for an offshore wind power flexible direct output system, and the method comprises the steps: building a fault equivalent circuit of the offshore wind power flexible direct output system, analyzing the operation characteristics of an AC power grid side under a low-voltage fault, and determining the incidence relation between the DC side excess energy and the power grid voltage drop; establishing a model representing each component in the fault equivalent circuit, wherein the components at least comprise a machine-side converter, a grid-side converter, a direct-current capacitor and an unloading resistor; when a low-voltage fault of an alternating-current power grid side is detected, executing the following cooperative control based on the model: synchronously starting unloading resistance control and reactive power support control, wherein an unloading resistor dissipates excess energy of a direct-current side through a direct-current chopper; the grid-side converter injects a capacitive reactive current which is deeply matched with the voltage drop of the power grid so as to improve the voltage of a grid-connected point; and if the direct-current voltage continuously exceeds the preset threshold value, starting power prompt drop control, and reducing the output power of the unit according to a gradient until the system recovers to be stable.

An offshore wind turbine integral coupling fatigue calculation method based on artificial intelligence belongs to the technical field of offshore wind power engineering, is used for solving the problem of efficient and high-precision evaluation of the fatigue life of an offshore wind turbine, and is characterized in that key environment parameter vectors influencing structural response and a data set of corresponding fatigue damage labels are acquired; training a deep neural network model by using the data set; the deep neural network model outputs corresponding fatigue damage per unit time in response to a central point parameter of an environment working condition block in an input long-term joint probability distribution diagram of the wind power site; according to the method, the defects that a traditional time domain simulation method is high in calculation cost and long in period are overcome, the calculation efficiency is improved by a plurality of orders of magnitude while the precision is guaranteed, and a powerful tool is provided for rapid design and optimization of the offshore wind turbine.

The invention discloses a short-term wind speed prediction method for multiple offshore wind power plants, relates to the technical field of power system intellectualization, and constructs a dynamic graph structure fusing the correlation between geographic distance and wind speed according to the correlation between the geographic position of a target area and the wind speed, namely a multi-wind-plant connected graph, and represents the spatial topological relation of a wind power plant group. A wind power plant group is mapped into a node network by constructing a dynamic graph structure fusing geographic distance and wind speed correlation, spatial dependence intensity between nodes is quantized by using a weighted adjacent matrix, spectral domain convolution operation is carried out by a graph convolution network based on a normalized Laplacian matrix, and the spatial dependence intensity between nodes is quantized by using a normalized Laplacian matrix. Efficient neighborhood feature aggregation is achieved through Chebyshev polynomial approximation, complex spatial association caused by geographic position difference and meteorological condition interaction can be accurately captured, the defect of non-Euclidean spatial relationship modeling in a traditional method is overcome, and the representation capacity of the spatial dependency relationship in the multi-wind-power-plant environment is remarkably improved.

The invention discloses a foundation scouring depth monitoring method and a foundation scouring depth monitoring system for an offshore wind turbine generator, and relates to the technical field of monitoring. Analyzing the relationship between the scouring depth safety value threshold value and the scouring rate of the offshore wind turbine generator set in different environments and states and each parameter of seawater, monitoring each information of the current offshore wind turbine generator set, judging the stability of the current offshore wind turbine generator set, if the stability is poor, performing early warning, and if the stability is good, performing early warning. If yes, whether maintenance early warning needs to be carried out or not is analyzed, if yes, parameters of current seawater are obtained, early warning levels of maintenance and the like of the offshore wind turbine generator are judged according to the parameters of the current seawater and the relation between the scouring rate and the parameters of the seawater, early warning is carried out, and the effectiveness of stability judgment of the offshore wind turbine generator is guaranteed; and the timeliness of maintenance of the offshore wind turbine generator is also ensured.

The invention relates to a noise damping control system of an offshore wind turbine generator, and belongs to the technical field of offshore wind power generation. The coupling state evaluation module is used for determining a coupling state evaluation index through a preset deep neural network model based on the platform motion information, the vibration spectrum data and the sound pressure signal; the cooperative control strategy generation module is used for determining target rigidity and target damping according to the coupling state evaluation index and the vibration spectrum data; according to the invention, the coupling state evaluation module processes platform motion information, vibration spectrum data and sound pressure signals acquired by the data acquisition module through a preset deep neural network model; the preset model is endowed with strong nonlinear fitting capability through offline supervised learning of massive historical working condition data; and an accurate and quantitative risk basis which cannot be reached by the prior art is provided for subsequent control decisions.

The invention relates to the technical field of offshore wind power foundation engineering, in particular to an offshore wind turbine pile group structure suitable for complex geology and a mounting method of the offshore wind turbine pile group structure. The offshore wind turbine pile group structure suitable for the complex geology comprises guide assemblies and a pile group system frame, wherein each guide assembly is composed of a steel pipe pile guide sleeve, a jacket guide sleeve and a connecting ring plate, and the pile group system frame integrates the multiple guide assemblies through a connecting frame. The modular overall pile group structure design is achieved through the pile group system frame integrating the multiple guide assemblies and the connecting frame, the fan load is dispersed to the multiple pile foundations through the pile group synergistic effect, and therefore the bearing capacity of the whole foundation is improved, the foundation can adapt to different seabed geological conditions, and the construction efficiency is improved. The development requirement of offshore wind power in a complex environment is met, efficient installation, high bearing capacity and geological adaptability optimization of the offshore wind turbine foundation are achieved, stable support is provided for an offshore wind turbine generator, the construction cost is reduced, and the construction efficiency is improved.

The invention discloses a deep and far sea wind power foundation platform and load integrated system under extreme environment conditions, and belongs to the technical field of offshore wind power platforms. The system comprises a basic platform body, a multi-dimensional monitoring subsystem, an environment-load coupling analysis subsystem, an intelligent regulation and control execution subsystem, a safety early warning decision subsystem and a shore-based collaborative management subsystem. Through synchronous acquisition of extreme marine environment, basic platform structure load and operation state data, distributed multi-type sensor layout and high-frequency sampling, data acquisition comprehensiveness and timeliness are realized, monitoring data are fused, a coupling model is constructed, 24-hour load change is predicted, and the real-time performance of the system is improved. According to the method, the attitude of the platform is dynamically adjusted, bearing configuration is optimized, emergency protection is started, the limitation of traditional separation analysis and fixed regulation and control is broken through, and the risk disposal and operation and maintenance efficiency is improved through risk quantification and grading early warning, remote monitoring and intelligent scheduling of a shore-based collaborative management subsystem and four-level early warning accurate matching coping strategies.

The invention provides a collaborative suppression method for short-circuit current-subsynchronous oscillation of an offshore wind power flexible direct current system, and the method comprises the steps: 1, determining a common parameter for a broadband coupling problem: determining the common parameter through a system topological structure and theoretical analysis of offshore wind power which is directly connected to a receiving-end power grid through flexible direct current for the short-circuit current and subsynchronous oscillation problem; 3, an upper optimization layer based on the DDQN outputs an optimal adjustment instruction for the generality parameters according to the system state, a lower execution layer receives the adjustment instruction of the upper layer, a new generality parameter value is obtained and output to a current inner loop controller, and a current inner loop controller is constructed; the current inner loop controller generates a modulation signal to control the output of the converter. According to the invention, the dynamic damping controller is designed to optimize common parameters, so that collaborative suppression of short-circuit current and subsynchronous oscillation is realized.

The invention provides an offshore wind farm operation and maintenance data management system and method based on a block chain, and relates to the technical field of offshore wind farms. Comprising a data acquisition module, a storage management module, a block chain module, an index optimization module and a report generation module. High-efficiency management of hot, warm and cold data is realized through a multi-level storage architecture, credibility and security of the data are ensured by adopting a block chain network, query performance is optimized in combination with adaptive indexing and dynamic fragmentation, and a full-life-cycle operation and maintenance data report is generated. According to the method, the data storage efficiency can be improved, the data credibility is enhanced, the large-scale data management capability is optimized, and scientific decision support is provided for intelligent operation and maintenance of the offshore wind plant.

The invention discloses an intelligent monitoring method and system for the bearing performance of an offshore wind power pile foundation, and relates to the technical field of offshore wind power pile foundation monitoring, and the intelligent monitoring method comprises two main parts of pile foundation horizontal displacement calculation and early warning and fan structure frequency calculation and early warning. Pile foundation performance degradation induced by scouring is considered, a model algorithm considering the influence of scouring on pile foundation bearing performance and fan structure frequency calculation is established, dynamic prediction and trend analysis are conducted on offshore fan structure performance, and full-chain closed-loop management from data collection and real-time processing to decision output is formed. Therefore, by the adoption of the intelligent monitoring method and system for the bearing performance of the offshore wind power pile foundation, the technical defects that the offshore wind power pile foundation is difficult to monitor, evaluate and early warn are systematically overcome through a logic closed loop of multi-dimensional monitoring, high-precision analysis and intelligent early warning.

The invention relates to an offshore wind power-energy storage-hydrogen production system cooperative control method and device and a medium, and the method comprises the steps: collecting wind power plant operation data, energy storage system data and hydrogen production system data in real time, and obtaining a state vector; the state vector is input into a strategy network, a current action vector is calculated, the strategy network is obtained through training of a double-evaluator reinforcement learning framework, a first evaluator evaluates an economical efficiency target value function, and a second evaluator evaluates a safety target value function; the strategy network outputs a control instruction corresponding to the current action vector, and issues the control instruction to each execution device for adjustment, including adjusting fan operation parameters according to the axial induction factor and the yaw angle; adjusting the electrolytic cell input power according to the electrolytic load power; and controlling the charging and discharging operation of the energy storage system according to the energy storage power. Compared with the prior art, the method has the advantages of high collaboration, high adaptability, safety and the like.

The invention discloses a corrosion-resistant offshore wind power FRP-steel composite tower tube structure multi-objective optimization design method. The method comprises the following steps that a composite tower tube structure in an outer layer GFRP-steel tube-inner layer GFRP composite section form is adopted below the sea level and in a splash zone; mapping the coupling load time history to a parameterized finite element model of the composite tower tube structure; constructing a multi-objective optimization function by taking the minimization of the total manufacturing cost of the composite tower drum structure, the minimization of the total mass of the composite tower drum structure and the maximization of the total volume proportion of the GFRP material of the composite tower drum structure as objectives; and establishing a constraint evaluation system, carrying out iterative optimization on the multi-objective function by adopting a fast non-dominated sorting genetic algorithm with an elitist retention strategy, outputting a Pareto optimal solution set, and selecting a final implementation scheme. The problems that a traditional pure steel tower drum is large in corrosion loss and the design is difficult to balance multiple performance targets in the severe ocean environment can be solved.

The invention discloses a soil constitutive parameter determination system and method based on an in-situ expansion test and numerical inversion, and belongs to the technical field of geotechnical engineering investigation. The system comprises a data interface and preprocessing module, a configurable numerical calculation engine, an intelligent inversion module and a result output module. A pressure-expansion displacement curve of the soil body is obtained in situ through the integrated probe; selecting a target constitutive model and setting a parameter inversion space; an intelligent optimization algorithm is used for driving a numerical calculation engine to conduct iteration forward modeling, and the optimal constitutive parameter set is automatically searched with the purpose of minimizing the difference between a simulation curve and an actual measurement curve. According to the method, in-situ expansion testing and intelligent numerical inversion are deeply fused, in-situ, accurate and automatic calibration of the whole set of parameters of the HSS model is achieved, and dependence on an empirical formula and a disturbed soil sample is abandoned. Reliable technical support is provided for refined design of major projects such as offshore wind power, and the method has great scientific value and engineering application prospects.

The invention discloses a fatigue test method for a cabin structural member of an offshore wind power generator. A test piece is subjected to surface treatment, a multi-sensor array is arranged, the test piece is placed in a combined system of a multi-axis dynamic loading unit and a collaborative environment simulation cabin, an intelligent control and analysis platform synchronously applies a multi-axis alternating load, salt spray corrosion and a circulating temperature and humidity environment, and real marine service conditions are simulated; the state of a test piece is evaluated in real time based on criteria such as a strain concentration coefficient and acoustic emission energy, a strengthening test is started for potential damage risks, a load strategy is adjusted to track crack propagation when microcracks are monitored, and after the test is ended, a fatigue life prediction model is established or calibrated by combining failure test piece analysis data. And outputting a life evaluation result and a structure improvement suggestion. Through the multi-factor collaborative simulation and self-adaptive control technology, the authenticity and efficiency of the test are improved, and technical support is provided for design optimization and reliability guarantee of offshore wind power cabin structural parts.

The invention relates to the technical field of anti-collision systems, in particular to an offshore wind power construction safety pre-warning system based on AIS (automatic identification system) data, which comprises a ship dynamic uncertainty modeling module for acquiring AIS signal updating frequency and positioning precision marks of a target ship and generating a ship future position probability ellipse. According to the invention, the position coordinate, the speed value and the course angle of the ship are obtained in real time based on the AIS data, the reliability and the motion trend of ship position prediction are determined by combining the AIS signal updating frequency and the positioning precision mark, and the future position probability ellipse of the ship is accurately generated; a protection area is dynamically constructed, comprehensive calculation is carried out in combination with the spatial relation between a ship future position probability ellipse and the positions of surrounding fan pile foundations, and a hourly dynamic collision risk index sequence is obtained; and further according to the statistical deviation between the current motion state of the ship and the standard parameter of the function partition, combining with path difference analysis to obtain a navigation abnormity comprehensive index.

The invention relates to an offshore wind power pile foundation anti-scouring structure, and belongs to the technical field of offshore wind power construction, and the offshore wind power pile foundation anti-scouring structure comprises a pile foundation main body, a plurality of spoilers, a protective cylinder, a sand seepage cover and filling stones; the pile foundation main body is columnar, and the pile foundation main body is configured to be inserted into a seabed of a preset area; the pile foundation body is sleeved with the protection barrel, one end of the protection barrel is located on a seabed, the other end of the protection barrel is covered with the sand seepage cover, and a plurality of through holes are formed in the barrel wall of the protection barrel. The multiple spoilers are arranged outside the protective cylinder in the circumferential direction of the protective cylinder and connected with the protective cylinder, each spoiler comprises a spoiler vertical plate and a spoiler side plate, the spoiler vertical plate is parallel to the axis direction of the pile foundation body, and an acute included angle is formed between the spoiler side plate and the spoiler vertical plate; the space between the protective cylinder and the pile foundation body is filled with the filling stone, and the beneficial effect of prolonging the service life of the offshore wind power pile foundation is achieved.

The invention discloses a fault processing method for an offshore wind power direct current parallel sending-out system through a DRU-MMC. The fault processing method comprises the steps that direct current energy consumption devices are arranged at direct current outlets of respective land MMC converter stations of a DRU-HVDC system and an MMC-HVDC system; when the alternating current power grid at the receiving end has an alternating current fault, the direct current energy consumption device is controlled to adopt a direct current voltage suppression strategy; when the DRU-HVDC system and the MMC-HVDC system respectively have direct current faults, different locking and circuit breaker disconnection time sequence control strategies are adopted, and in the direct current fault ride-through period, a direct current suppression strategy and a direct current voltage suppression strategy are controlled to be adopted by a direct current energy consumption device of the DRU-HVDC system. Therefore, the fault ride-through capability of the DRU-MMC direct current parallel sending-out system of the offshore wind power can be effectively improved, and stable operation of the system is ensured.

The invention discloses a preventive diagnosis and maintenance system and method for offshore wind power equipment, and relates to the technical field of offshore wind turbine generator maintenance, and the system comprises a data input module, a maintenance judgment module, an early warning maintenance module, an intelligent fault diagnosis module and an operation and maintenance management module. The data input module is used for inputting real-time state data of each component of the offshore wind power equipment, and the operation and maintenance management module controls operation and management of the whole preventive diagnosis and maintenance system. According to the invention, information from different monitoring means is fused by adopting a data fusion algorithm, richer equipment state features are extracted through fusion processing, the collected data are preprocessed in the data collection process to improve the accuracy and reliability of the data, and the data collection accuracy and reliability are improved by utilizing complementarity among different monitoring means. The accuracy and reliability of damage identification are improved, and the diagnosis and maintenance system can efficiently and accurately identify the damage position and the damage degree of the fan structure or equipment.

The invention discloses a fan yaw cooperative control method and system for an offshore floating type wind power plant, and relates to the technical field of offshore wind power, and the method comprises the steps: constructing a digital twinborn body of the offshore floating type wind power plant, and obtaining a twinborn wind power plant; the method comprises the following steps: locally calling historical wind regime data, solving a yaw coordination strategy in a twin wind power plant based on the historical wind regime data, and constructing a reference coordination control library; accessing a far-end weather forecast center, and acquiring predicted wind regime data falling into a prediction time window; traversing the reference cooperative control library based on the predicted wind regime data, and outputting a reference cooperative yaw angle; taking the reference cooperative yaw angle as an initial point, performing yaw cooperative control optimization in the twin wind power plant according to the predicted wind regime data, and outputting a predicted cooperative yaw angle; and in the prediction time window, performing power generation intervention on the offshore floating type wind power plant according to the predicted cooperative yaw angle. Therefore, the technical effects of prospective power generation intervention and improvement of power generation efficiency and stability are achieved.