74 results about "Wind park" patented technology

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 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 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 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.

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.

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.

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.

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.

The invention discloses a radar-based wind measurement method for a wind turbine generator, and the method comprises the following steps: S1, deploying and configuring a radar network, and installing airborne laser radars in a plurality of wind turbine generators on a wind power plant; s2, preprocessing local radar data, and converting original observation data of the radar matched with each fan into standardized wind field information which can be used for cooperative control and power prediction of the wind power plant; the problems that in the detection process of an existing radar-based wind measurement method of the wind turbine generator, unification and fusion of multiple radars are inconvenient, wind field sensing precision is easily reduced, blind areas or overlapping area data conflicts exist in some areas, and the detection accuracy is poor are solved. And different radars may generate inconsistent measurement results due to installation positions, angles, calibration differences and the like, and when a unified fusion mechanism is lacked, system deviation is difficult to eliminate, and the overall wind parameter estimation accuracy is affected.

The present invention relates to an AI-driven system for optimizing the energy capture of renewable energy farms, including solar farms, wind farms, and ocean current farms. The system utilizes artificial intelligence (AI) to monitor real-time environmental data, such as solar irradiance, wind speed, ocean current speed, temperature, and humidity. The AI dynamically adjusts the operational parameters of energy capture devices—solar panels, wind turbines, and ocean current turbines—to optimize energy output in varying conditions. The system integrates predictive environmental data, such as weather forecasts and tidal patterns, to proactively adjust energy capture settings in advance of changes in environmental conditions.

The present application relates to the field of wind farm group control, and embodiments thereof provide a wind farm inertia frequency modulation power distribution and closed-loop control method, device and equipment. One of the wind farm inertia frequency modulation power distribution and closed-loop control methods comprises: determining an inertia frequency modulation active power adjustment amount and a target unit to be adjusted, generating an adjustment instruction according to a rotational speed constraint and an adjustable power constraint of the target unit; determining the inertia frequency modulation active power adjustment amount in real time in the process of executing the adjustment instruction by the target unit; and performing secondary dynamic compensation when the inertia frequency modulation active power adjustment amount is greater than a set threshold. The embodiments of the present application also provide corresponding devices and equipment. The embodiments provided by the present application fully exert the inertia frequency modulation capability of adjustable units, quickly adjust the overall power of the wind farm, and meet the target power demand of the field-level inertia frequency modulation.

This invention discloses a design optimization method for the layout of floating wind turbines in offshore wind farms, belonging to the technical field of offshore wind power station layout design. It provides a design optimization method for the layout of floating wind turbines in offshore wind farms that better reflects the actual conditions of wind farms and significantly improves the efficiency of layout optimization. This design optimization method is based on the wind environment parameters of the wind farm, uses an integrated simulation method to calculate platform motion information and form a database, then constructs a wake model containing platform motion influencing factors, and then optimizes based on layout spacing and site constraints. During optimization, wake models of different complexities are used for evaluation, the inflow wind speed is obtained, and the corresponding power generation performance indicators of the floating wind turbines are calculated by combining the structural and operating parameters of the wind turbines. This iterative process yields the optimal power generation performance indicators for the entire wind farm, and the layout scheme is determined based on these optimal power generation performance indicators to complete the design optimization work.

A concrete tower for a wind turbine, comprising: a plurality of tower sections stackable one another to form a stack. The stack is designed such that a tip of at least one blade is at a height of the stack measured from a first end of the tower that is between 1 / 8 and 1 / 3 of a total height of the stack when the at least one blade is arranged on the concrete tower or the wind turbine and are oriented such that a root of the blade is closest to the second end of the stack and the tip of the blade is closest to the first end of the stack, the total height of the stack being a length measured from the first end to the second end. Also, a wind turbine, a wind farm, a method of manufacturing a concrete tower and a method of manufacturing a wind turbine.

A control method (100) for controlling a wind farm comprising a plurality of wind turbines, based on an estimated wind velocity and an estimated wind direction of the wind on the wind farm. The method comprises receiving a wind direction and a wind velocity. The method further comprises determining (120) a group of yaw angles sets and evaluating (130), for each yaw angle set, a power generated by the wind farm. The method further comprises generating (150) new yaw angle sets and modifying (160) the value of each yaw angle according to a probability law. The method further comprises adjusting (170). The method further comprises selecting (190), among the adjusted yaw angle sets, the set for which the power generated is the highest, the yaw angles of such selection set being the desired yaw angles, and sending (200), to each wind turbine, the respective desired yaw angle.

The invention discloses an efficient settlement observation and data intelligent analysis system for a mountain wind power plant. The system comprises a data acquisition module, a data transmission module, a data processing and storage module, an intelligent analysis module and a state alarm module, a high-precision sensor and an advanced measurement technology are adopted, settlement data of the mountain wind power plant can be accurately measured, the observation precision is improved, and real-time acquisition and efficient transmission of the settlement data are realized through combination of multiple data acquisition and transmission modes. Meanwhile, an advanced data processing algorithm is adopted, settlement data can be rapidly and accurately analyzed and calculated, the sensor and equipment have good environmental adaptability, can stably work in a severe mountain environment and ensure the continuity and reliability of observation, a data fusion technology and an artificial intelligence algorithm are adopted, and the data fusion technology is optimized. The settlement data is deeply mined and analyzed, so that the prediction of the settlement trend and the advanced discovery of potential safety hazards are realized.

The utility model relates to the technical field of wind power generation, in particular to a wind measuring device for a wind power plant, which comprises a base and a shear fork mechanism. One end of the bottom end of the shear-fork mechanism is rotationally connected with the base, and the other end of the bottom end of the shear-fork mechanism is slidably connected with the base; the at least one lifting plate is driven by the shear fork mechanism to ascend and descend; at least one end of the lifting plate is provided with an installation assembly used for installing a wind meter. The mounting assembly comprises a fixed shaft fixedly connected with the lifting plate; one end of the swing arm is rotationally mounted on the fixed shaft; the fixing mechanism is used for fixing the position of the swing arm; wherein the wind meter is mounted at the other end of the swing arm; the telescopic wind meter is simple in structure and can be telescopic and folded on the basis that a plurality of wind meters can be installed, the occupied space is greatly reduced, and the use limitation is reduced.

This invention provides a wind power plant operation and maintenance system based on intelligent site construction. Compared with existing technologies, this system includes a temperature monitoring module for monitoring generator temperature and a cooling module for adaptive cooling of the wind turbines based on their temperature conditions. By periodically monitoring the temperature of the wind turbines, this invention can understand the thermal state during operation in real time and respond promptly to temperature changes. The system can select appropriate cooling strategies based on different temperature conditions to ensure the equipment operates at the optimal temperature. By preventing overheating, it further improves the overall operating efficiency of the wind turbines within the wind power plant.

The invention relates to the technical field of real-time monitoring and intelligent control of a wind power plant, in particular to a wind power plant real-time monitoring system based on a database, and the system comprises a data collection module which is used for dividing a unit into a direct monitoring set and an inference monitoring set; collecting real stress data of the direct monitoring set, and collecting a real-time control vector, a wind regime vector and service duration of the inference monitoring set; a first processing module for calculating an inference stress of the inference monitoring set; the second processing module is used for constructing real stress distribution and deduced stress distribution and calculating a structural health entropy; the risk decision module is used for determining a control mode based on the structure health entropy and a preset entropy threshold value; the closed-loop control module is used for responding to the control mode, generating an updated real-time control vector and feeding back the updated real-time control vector to the first processing module; the method solves the problem that a physical model is difficult to accurately describe the nonlinear aging of the old unit.

A method of predicting a frequency value of a utility grid to which a wind park is connected is provided, the method including: obtaining plural utility grid measurement values pertaining to a predetermined time range before and until a present point in time; obtaining plural wind park measurement values pertaining to the time range; feeding the plural utility grid measurement values and the plural wind park measurement values into a recurrent neural network trained to output the frequency value at at least one next point in time, the next point in time being in particular between 0.5 s and 2 s after the present point in time.