99 results about "Wind park" patented technology

The invention discloses a matrix yaw system of a wind power plant. The matrix yaw system comprises a data acquisition module, a wind plant modeling module, a parameter extraction module and a yaw control module. The data acquisition module acquires a wind field original data set containing three-dimensional space coordinates and timestamps by using a multi-source sensor; the wind field modeling module calculates correlation between points by combining a covariance function through a Gaussian process regression algorithm, and constructs a three-dimensional dynamic wind field model; the parameter extraction module is used for extracting wind regime parameter vectors in the model by adopting a nearest neighbor interpolation algorithm on the basis of actual space coordinates of a fan; and the yaw control module utilizes a depth deterministic strategy gradient reinforcement learning model to generate a yaw angle adjustment instruction in combination with the wind regime parameter vector, the current yaw state of the fan and a preset maximum cumulative reward function. Through multi-module cooperation and intelligent algorithm optimization, accurate matching of wind field dynamic modeling and yaw control is achieved, and the energy efficiency and operation stability of the wind generating set are improved.

Provided is a method of operating a hybrid power plant, including energy generating units including a wind park and at least one unit of another type of renewable energy source and including an energy storage system, the method including: creating a power production schedule based on an actual forecast of power production, an actual forecast of energy price and actual hybrid power plant status, the power production schedule including at least scheduled power for points in time in the future; and controlling, during the points in time in the future the energy generating units and the energy storage system based on the power production schedule, the hybrid power plant status at the points in time in the future, in particular energy storage system status, such as to dispatch power according to the power production schedule, but complying with any grid operator reference at the points in time in the future.

The invention discloses an energy internet operation state evaluation method and system, and relates to the technical field of energy internet, and the method comprises the following specific steps: building a micrometeorological model: combing the geographic position information of various energy facilities distributed in the energy internet, according to the method, a regional differentiation comprehensive evaluation mechanism considering ecological benefits and energy utilization efficiency is established by fusing dynamically quantified ecological environment related indexes and energy operation state indexes obtained based on micrometeorological differences, so that real-time influences of the energy internet on the ecological environment in different regions are comprehensively and accurately mastered; according to the method and the system, comprehensive evaluation results such as the interference degree of a wind power plant on a bird migration path, the ecological interference degree of a solar power station on land vegetation and the influence range and intensity of electromagnetic radiation on surrounding ecology are evaluated, and energy internet optimization operation strategies and ecological protection measures which are more practical and more targeted are formulated based on the comprehensive evaluation results.

The invention relates to the field of wind power generation control, and particularly discloses a cooperative control analysis system and method of a distributed wind power generation system. The artificial intelligence technology based on the deep learning field is used for calculating wind intensity values of a plurality of preset time points in a preset time period of the wind power plant, wind frequency values of the plurality of preset time points in the preset time period and wind frequency values of the plurality of preset time points in the preset time period. And performing feature extraction and coding on the wind speed values at the plurality of preset time points in the preset time period and the wind direction values at the plurality of preset time points in the preset time period to obtain a classification result of the type of the wind driven generator which is suitable for running. Therefore, wind energy can be effectively utilized by intelligently selecting the type of the wind driven generator which runs properly, and the stability and reliability of power generation of the wind power plant are improved.

The invention discloses an offshore wind power plant control method and system, and relates to the technical field of wind power generation control, and the method comprises the steps: carrying out the collection through a sensor array disposed at a wind generating set, and forming a three-dimensional environment parameter vector; inputting the real-time environment parameters into a pre-trained classification model, and matching the real-time environment parameters to a plurality of preset environment operation states; constructing a Markov state transition probability matrix based on the historical operation data, and recording environmental parameter change rate characteristics during state transition; determining the adaptation degree of the preset control parameters of the wind generating set in each environment operation state to other environment operation states; fusing to generate a mixed prediction result; and triggering a control strategy according to the comprehensive judgment of the prediction result and the adaptation degree evaluation. The method has the advantages that dynamic Markov state transition prediction and cross-state adaptation degree evaluation are combined, so that the adaptive capacity of the offshore wind power plant to complex sea conditions is remarkably improved.

The invention belongs to the technical field of wind power generation, and particularly relates to a fault diagnosis and early warning method and system for a wind power plant, and the method comprises the steps: collecting the state data of a plurality of physical fields through a plurality of types of sensor arrays disposed at key parts of a fan; performing preprocessing and feature extraction on the data to obtain high-dimensional feature data; driving the field-level digital twinborn model to perform real-time simulation based on the high-dimensional feature data, and determining an initial fault recognition result and severity by comparing a simulation predicted value with actual sensing data and combining with an unsupervised anomaly detection algorithm; a diagnosis result is calibrated through multi-modal high-dimensional feature data fusion; predicting the remaining useful life of the key component based on the fault severity and the evolution trend thereof, and generating a collaborative operation and maintenance decision by using a multi-objective optimization algorithm; and an operation and maintenance decision is automatically executed through a closed-loop feedback execution mechanism. According to the invention, the accuracy of fault diagnosis and early warning of the wind power plant is improved.

The invention relates to an equivalent reduced-order modeling method of an offshore wind power flexible direct output system. The method comprises the following steps: constructing an equivalent reduced-order model of a wind power plant; constructing an equivalent order reduction model of the modular multilevel converter; constructing a broadband equivalent reduced-order model of the receiving-end power grid; constructing an equivalent order reduction model of the offshore wind power flexible direct output system based on the equivalent order reduction model of the wind power plant, the equivalent order reduction model of the modular multilevel converter and the broadband equivalent order reduction model of the receiving end power grid; according to the method, the wind power plant, the MMC and the receiving-end power grid are subjected to order reduction and integration, the number of overall nodes and elements is reduced in a multiplied mode, the voltage-current transient consistency of grid-connected points is still kept, the CPU calculation amount is remarkably reduced, and a larger-scale fan group can be loaded on an HIL platform at a time.

The invention discloses a wear-resistant wind energy cable, relates to the technical field of cables, and solves the problem that a wind energy cable in the prior art is difficult to meet the reliability requirement of long-term operation in a wind power generation scene due to the poor protection effect of a sheath layer. Comprising a cable core structure, and the cable core structure comprises a plurality of conductors distributed in a longitudinal array, insulation shielding layers wrapping the conductors and wrapping tape layers wrapping the insulation shielding layers; the cable also comprises an outer sheath which wraps the cable core structure, and the outer sheath comprises an outer protection layer and a lining layer which are arranged outside the belting layer. The functional layer comprises an armor layer and a pressure-resistant buffer layer, and the armor layer is arranged between the inner side of the lining layer and the outer side of the belting layer; according to the design scheme of the cable outer sheath, by optimizing the structural design, the structural bearing capacity of the cable is remarkably improved, and meanwhile the protection effect of the cable is enhanced. The design can meet the reliability requirement of long-term operation of the cable in a wind power generation scene.

The invention belongs to the field of data transmission of wind power plants, and particularly discloses a secure data transmission method and system for a wind power plant, and the method comprises the steps: firstly obtaining wind speed, wind direction and other wind power plant parameters, grouping the parameters in sequence, mining a data sequence dependency relationship by means of an optimized long-short-term memory network, and extracting a feature vector; associating and integrating the equipment space and the operation relationship into a feature matrix; constructing a multi-dimensional data encryption model based on multiple dimensions of parameters, and encrypting the feature matrix by adopting a dynamic key generation mechanism; and establishing a secure channel to transmit encrypted data through a self-adaptive routing selection strategy based on a link state, and restoring the data by a receiving end by using a corresponding key and a decryption algorithm. The system is composed of a parameter acquisition unit, a data grouping unit and other eight units, all the units work cooperatively, the safety guarantee of the whole process of wind power plant data from acquisition and encryption processing to safe transmission and decryption reduction is achieved, and the data transmission safety and reliability are effectively improved.

The invention belongs to the field of wind power generation, and discloses a wind speed ultra-short-term prediction method based on transfer learning, which comprises the following steps of: 1, performing correlation analysis on high-dimensional SCADA (Supervisory Control and Data Acquisition) data through a data preprocessing and feature selection module, and selecting features related to wind speed; step 2, capturing transferable time scale features through a feature extractor and a discriminator; step 3, extracting a key dynamic state of time feature transfer through a self-attention mechanism and a maximum mean value difference; and step 4, performing ultra-short-term prediction on the wind speed through the prediction network. By adopting transfer learning, learning of the target field can be helped by utilizing knowledge of the source field, so that the generalization ability of the model in the new field is improved. The method aims at overcoming the limitation of a traditional method in the aspects of data imbalance, domain transfer and the like, more accurate and stable wind speed prediction is achieved, and reliable technical support is provided for safe operation of a wind power plant and stable supply of a power system.

The variable VAR module utilizes an electronic inverter operating at a “boost voltage” that is only a small fraction of the full line voltage. Fo a distribution line voltage of 38 kV, a “boost voltage” of about 10% of the line voltage (i.e., 3.8 kV) is typically sufficient to boost the voltage and inject the VARs necessary to cause the power generated by load-side generation, such as a solar or wind farm, to flow into the power grid. Reducing the operating voltage of the high-power electronics by 90% produces a tremendous reduction in the cost of the power flow controller—in comparison to those operating at the full line voltage. The module also provides “four quadrant” phase angle control injecting variable VARs into the power line causing the load-side generation to flow in the desired direction while maintaining the desired voltage levels in response to monitored power line conditions.

The invention provides a permanent magnet generator fault monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of motor fault detection, and the method comprises the steps: obtaining the historical operation data of a target permanent magnet generator; according to the historical operation data, establishing a motor model of the target permanent magnet generator in each working condition state; determining time domain features and frequency domain features of the target permanent magnet generator in each working condition state based on the motor model; and performing fault monitoring on the target permanent magnet generator based on the time domain feature and the frequency domain feature. Therefore, compared with the prior art that data acquisition is carried out through installation of a sensor, high-frequency voltage is injected through an inverter, then corresponding high-frequency inductance is calculated, and then identification analysis of specific harmonic waves is completed, the scheme in the invention can realize continuous monitoring and diagnosis, fault occurrence can be effectively prevented, and the fault diagnosis accuracy is improved. The dependence on sensors and monitoring conditions is small, and the operation efficiency and economic benefits of the whole wind power plant can be remarkably improved.

A method for optimizing performance of a wind farm having at least one wind turbine includes maneuvering a first unmanned aerial vehicle (UAV) having at least one sensor to a first location near the at least one wind turbine of the wind farm; collecting, via the at least one sensor of the first UAV, data corresponding to one or more wind conditions at the at least one wind turbine; receiving the data corresponding to the one or more wind conditions at the at least one wind turbine via a controller; generating a control action for the at least one wind turbine using the data corresponding to the one or more wind condition at the at least one wind turbine; and implementing, via the controller, the control action.

A concrete tower for a wind turbine, comprising: a plurality of tower sections stackable one another to form the tower such that a diameter of the tower sections varies from a first diameter to a second diameter the tower, having an outer diameter between 5.0 and 7.0 m at a predetermined height, falling between first and second ends of the tower, that is proximate to a height of a tip of at least one blade arranged on the concrete tower or a wind turbine with the concrete tower and oriented according to six o'clock. Also, a wind turbine, a wind farm, a method of manufacturing a concrete tower and a method of manufacturing a wind turbine.

A kind of wind farm dynamic equivalent model construction method based on terrain distribution influence belongs to power system optimization operation technical field, the present wind power generation field dynamic equivalent model is constructed to solve the problem that actual power and the difference in operating state caused by complex terrain distribution are not considered, error is larger in the case of complex wind environment of wind farm.It includes: selecting wind turbine of same model parameter in wind power generation field to form wind turbine generator unit, obtaining power variation and variation rate of each wind turbine in wind turbine generator unit;Obtain the relative sensitivity of wind condition change influence of wind turbine, and the relative sensitivity of wind condition change influence is used as representation index to obtain the relationship between transient potential derivative and relative sensitivity;Obtain the equivalent parameter of equivalent unit in wind condition change dynamic process, and construct wind farm dynamic equivalent model according to equivalent parameter.The present application is used for the construction of wind turbine group equivalent model of same parameter.

The application discloses a pitch angle control method considering fast active power regulation of a wind driven generator, which can reduce pitch angle fluctuation of all PMSGs during fast active power control, minimize fatigue damage of the wind driven generator, prolong the service life of the wind driven generator and reduce maintenance cost. P ; S2, a wake effect model of the wind farm containing mathematical models of the plurality of PMSGs is constructed to determine a plurality of pitch angles beta from the power coefficient c P ; and S3, a fast active power control model of the wind farm is constructed to satisfy minimum pitch angle beta fluctuation of the PMSGs.

The present application relates to the technical field of wind power plant construction, and particularly relates to a wind power plant road construction earthwork intelligent allocation method, system and equipment. The allocation method comprises the following steps: collecting wind power plant road earthwork engineering data to be built and preprocessing to obtain a standardized engineering data set; an earthwork intelligent allocation model based on A* algorithm and linear programming fusion is constructed, the model takes the transport volume priority as the core criterion, cancels the allocation priority mechanism, and realizes the optimal allocation by calculating the minimum transport volume of the global excavation pile number and the filling pile number; presetting the allocation limit condition, configuring the limit condition matrix, and based on the standardized engineering data set, the earthwork intelligent allocation model is used to generate the earthwork allocation scheme of the wind power plant road. The present application adapts to the topological characteristics of the wind power plant road, realizes the efficient and reasonable allocation of the wind power plant road earthwork through the global transport volume priority, and effectively controls the construction cost.

Methods and apparatuses for controlling reactive power of a wind turbine, and a wind farm are provided. An exemplary method includes: obtaining operation data of single wind turbines in a wind turbine group at the current time point; determining the total maximum capacitive reactive capacity and total minimum inductive reactive capacity, satisfying a safety constraint condition at the next time point, of the wind turbine group; calculating a deviation value of a wind turbine group reactive instruction at the current time point; and updating the wind turbine group reactive instruction on the basis of the acquired, determined, and calculated data so as to perform reactive power control.

The invention discloses a high-altitude multi-layer road connected building fire-extinguishing anti-seismic greening facility combination system which is applied to building of a wind power plant and anti-seismic and fireproof multi-layer road connected wind driven generators of high-rise residents. A road is supported by double stand columns, short beams, long beams, pull rods and pull ropes are connected to the double stand columns to form a high-altitude multi-layer supporting frame and the road, and multi-layer wind driven generators are connected to the high-altitude multi-layer supporting frame and the road to form a wind power plant. A wind driven generator can be connected to a high-altitude multi-layer fireproof and shockproof fire extinguishing road connected to a high-rise building, and a fan is connected to the intersection of the road or an open area with a certain distance away from the building. The top layer road of the building can be extended upwards in multiple layers, multiple layers of fans are connected to the top layer road, and power transmission lines of the fans extend downwards along the stand columns and are integrated into a network.

The utility model relates to the technical field of wind power plant construction, and discloses an underground embedded part for wind power plant construction, which comprises a plurality of bases arranged at equal intervals. According to the underground embedded part for construction of the wind power plant, a locking mechanism is installed in a conical positioning column, the conical positioning column and soil can be locked, in the locking mechanism, a locking block can be inserted into the soil through a through groove by pulling a locking rod upwards, and a gap in the conical positioning column is used for locking the conical positioning column. Cement is poured into the conical positioning columns by constructors, so that the stability of the bases is further improved, and the six bases are welded and fixed in a triangular mode by utilizing the fact that a triangle is one of the most stable shapes in geometry and has excellent bearing capacity and deformation resistance, so that the stability of the bases is improved. And two stable triangular structures which support each other can be formed, so that the overall stability of the fan foundation is remarkably improved.

The invention provides an active scheduling method and device for a new energy power system, equipment and a storage medium, which can be applied to the technical field of power grid scheduling. The method comprises the following steps: acquiring wind-solar power prediction data; uploading the wind-solar power prediction data to a power grid dispatching center, so that the power grid dispatching center formulates an initial day-ahead power generation plan based on the wind-solar power prediction data; obtaining an optimized day-ahead power generation plan based on the initial day-ahead power generation plan, the wind-light power prediction data and a pre-constructed wind-light-storage combined date multi-cycle scheduling model; performing rolling optimization on the day-ahead power generation plan based on the ultra-short-term load prediction data to obtain an intra-day power generation plan; and issuing the intra-day power generation plan to each wind power station and each photovoltaic power station so as to schedule the power generation power of each wind power station and each photovoltaic power station. According to the method provided by the invention, the accuracy of active scheduling of the new energy pooling station is improved, so that the volatility of a new energy power system is reduced.

The invention discloses a reciprocating variable-circumference transmission mechanism with sealing protection, and belongs to the technical field of wave energy and wind energy power generation. The mechanism comprises an existing reciprocating variable-circumference transmission part, and a sealing protection assembly, a parallel shafting linkage assembly and a reciprocating power collection assembly are additionally arranged. The sealing protection assembly integrally wraps an existing reciprocating variable-circumference transmission part. The parallel shafting linkage assembly is connected with a first shaft (1) and a segmented short shaft through a universal coupling, so that coaxial flexible parallel transmission of multiple groups of mechanisms is realized, and mutual interference of power is avoided; the reciprocating power collecting assembly is fixedly connected with the power input shaft sleeve (2). According to the sealing protection assembly, a protection shell is matched with a flexible connector in a sealing mode, a protection cover with intervals is arranged outside the flexible connector, totally-closed protection is achieved, and normal deformation of the sealing is prevented from being interfered. The device can adapt to wave energy or wind power generation scenes by replacing a reciprocating power collection assembly, and has the advantages of being good in protection performance and high in parallel connection adaptability.

The invention discloses a wind power plant data driving control method based on a game model, and belongs to the field of wind power plant control and optimization. Aiming at the problem of difficulty in modeling of complex pneumatic interaction between fans in existing wind power plant control, the method can realize global energy output of the wind power plant without explicit modeling; the method is characterized in that each fan is regarded as an independent participant under a game theory framework, and a distributed learning algorithm is introduced, so that each fan adaptively adjusts control parameters according to local information of the fan and local information of adjacent fans to maximize overall energy output of a wind power plant; the method specifically comprises two key algorithms: one algorithm is an optimal SED algorithm which needs global information of total energy of a wind power plant and is iterated through a random experiment and benchmark comparison; and 2, a PLODO algorithm for optimizing parameters is selected through probability only by energy information of the device and the adjacent device. The two algorithms can ensure convergence, and the energy output efficiency of the wind power plant is effectively improved.

A sandwich-rim and double-layer-blade wind turbine rotor, comprising a rim (1) and a plurality of groups of blades arranged on the circumference of the rim by means of blade brackets (2). The rim (1) is of a sandwich type formed by an inner panel (11), a middle core plate (12) and an outer panel (13), and conical corners are formed at two side edges of the rim (1). Each blade comprises an inner blade (4) and an outer blade (3). A plurality of double-output-shaft pitch control motors (8) are circumferentially and evenly arranged at the middle of a sealed cavity between the inner panel (11) and the outer panel (13) and are each used for driving the inner blade (4) and the outer blade (3) to perform linked pitch control; and by means of reinforcing plates (14) provided inside the rim (1), slings (18) and stay cables (6), the rim (1) is connected to disc-shaped flanges (7) mounted on both sides of a rotor hub (20). The wind turbine rotor effectively utilizes the rim (1) for the arrangement of inner and outer blades, facilitates synchronous control and adjustment of blade pitch, reduces the wind shielding area of the rim (1), improves the torque and working efficiency of the rotor, improves the reliability and structural strength of the rotor, and is suitable for being used in various wind power generation sites.

The present invention relates to an equivalent reduced-order modeling method for an offshore wind power flexible direct current transmission system, comprising the following steps: constructing an equivalent reduced-order model of a wind farm; constructing an equivalent reduced-order model of a modular multilevel converter; constructing a broadband equivalent reduced-order model of a receiving-end power grid; constructing an equivalent reduced-order model of the offshore wind power flexible direct current transmission system based on the equivalent reduced-order model of the wind farm, the equivalent reduced-order model of the modular multilevel converter, and the broadband equivalent reduced-order model of the receiving-end power grid; the present invention reduces the order of the wind farm, MMC, and receiving-end power grid respectively and integrates them, thereby reducing the number of overall nodes and components by multiples while maintaining the transient consistency of voltage and current at the grid connection point, significantly reducing the amount of CPU computation, and enabling a HIL platform to load a larger-scale wind turbine group at one time.

A wind turbine is provided including: a power production component including at least a generator; an electric assembly and at least one first further wind turbine to an electric export cable, which is connectable or connected to a power grid, such that the electric assembly configures the wind turbine as a booster turbine, wherein the electric assembly comprises: a switchgear operated on a first lower voltage level; a transformer for transforming, from a primary side of the transformer, and a second higher voltage level input and / or output interface, located at the secondary side of the transformer and operating on the second higher voltage level, for providing an interconnection link to a second further wind turbine that is configured as a booster turbine and is arranged to receive and / or provide power via the interconnection link on the second higher voltage level.

A method of controlling wake in a floating wind park is provided. The method includes monitoring a wind condition at at least one of the plurality of floating wind turbines to generate at least a first monitored wind condition, monitoring one or more parameters indicative of a position and / or orientation of at least one of the plurality of floating wind turbines to generate at least a first monitored floating motion state and generating a control parameter based on a parameter set comprising at least the first monitored wind condition and the first monitored floating motion state. The control parameter is derived so as to reduce the wake influence on the downstream wind turbine. The method further includes controlling based on the control parameter, an operation of at least one of the plurality of floating wind turbines.

1. The name of the design product: mobile wind field equipment. 2. The use of the design product: mobile wind field equipment for testing and calibration of complex wind field environment such as sudden wind, gust, wind shear, turbulence, etc., and unmanned aerial vehicle wind resistance testing. 3. The design points of the design product: shape and pattern. 4. The picture or photo that best shows the design points: perspective view 1.

The invention discloses a land wind power plant solar coupling power generation system, and relates to the technical field of renewable energy power generation, and the system comprises a wind and light energy collection module which collects parameters, converts wind and light energy into electric energy, and transmits the electric energy; the energy conversion and storage module processes the electric energy, monitors the state of a storage battery, and distributes the electric energy for grid connection and storage; the intelligent monitoring and scheduling module is used for processing parameters, calculating by adopting a formula and sending an instruction; the grid-connected transmission module processes electric energy, merges the electric energy into a power grid and feeds back power grid acceptance power; the pre-maintenance execution module is used for receiving an instruction maintenance device, feeding back a state and calculating the life extension amount; through cooperation of wind and light energy collection and the intelligent monitoring module, efficient complementation of wind energy and solar energy and stable operation of the system are achieved, and the utilization rate of renewable energy is increased; meanwhile, an intelligent maintenance system covering the whole life cycle is constructed, hidden dangers are actively eliminated, the operation and maintenance cost is reduced, the service life of equipment is prolonged, and the economical efficiency and reliability of the system are improved.

The utility model relates to the field of wind power generation, and provides a wind measuring device and a wind power plant, and the wind measuring device comprises a universal head pedestal, the bottom end of which is used for being detachably connected with the ground; the tower rod is arranged at the top of the universal head base, and the universal head base is used for adjusting the tower rod to be perpendicular to the horizontal plane; an orientation indicating structure and a gradienter are arranged on the tower pole; the stay wire structure is connected with the tower pole and is used for reinforcing the fixation of the tower pole; and the wind measuring equipment is arranged on the tower pole. The wind measuring device provided by the utility model is detachably connected with the ground through the universal head base, is used for adjusting the perpendicularity of the vertical rod in the process of installing the wind measuring device, can also be compatible with the deflection of the universal head base which is not vertically fixed in the land, relaxes the field requirement for installing the wind measuring device, and can be used for complex terrains with irregular horizontal planes; the orientation indicating structure and the gradienter are used for conveniently determining the arrangement orientation of the wind measuring device and achieving leveling when the wind measuring device is adjusted.