422 results about "Wind resource" patented technology

The invention proposes a system simulation method for connecting large-scale wind power into a power grid in a centralization way and an effective equivalent mode of a high-capacity wind power station. Based on the synchronization operating characteristics of the large-scale wind power, the invention makes the large-scale wind power synchronization simulation analysis principle under the comprehensive consideration of the influences of the wind resource characteristics of wind power generation, the dynamic response characteristics of a wind driven generator and the differentiation characteristics of different types and different control modes of various wind driven generators and the like; therefore, the invention constructs the complete analytical framework and flows of the system simulation assessment with the large-scale wind power being connected into the power grid. The simulation analysis result shows that the system simulation method can comprehensively, objectively and accurately assess the impact and the safety bottleneck to the stable running of a power system caused by wind power synchronization after the base synchronization of the large-scale wind power due to the affection to the dynamic response characteristics of the power system by the differentiation of the types and the response characteristics of various wind driven generators and the wind resource characteristics. Therefore, the method is beneficial for the scheduling and operating staff to accurately grasp the affection to the system characteristics by the connection of the large-scale wind power and the law of the connection of the large-scale wind power, and has significant meaning for instructing and making the corresponding precautionary and improved measure and ensuring the normal running of the system after the connection of wind power.

The invention discloses a wind resource assessment method based on numerical weather prediction and the computational fluid dynamics. According to the method, area wind speed situations of a wind power plant in a selected year are simulated in a numerical weather prediction model, so that numerical weather prediction results comprising wind speed and wind direction time variation sequences of the wind power plant are obtained; one or more wind speed and wind direction time variation sequences are selected from the numerical weather prediction results and input in CFD software of the computational fluid dynamics, and wind resource situations of the whole wind power plant can calculated and obtained. Compared with a method of combining a meso-scale numerical model and a micro-scale numerical model, the wind resource assessment method achieves more accurate physical solution and calculation of the wind power plant on a micro level, and meanwhile the effects on wind speed attenuation or turbulence from complex terrain and wake effects are considered. Compared with wind resource assessment conducted through the CFD software only, the method can provide input of more result points of the CFD software by being combined with results of the numerical weather prediction model.

The invention provides a wind resource computation method, which comprises the following steps of analyzing original wind measurement data, and establishing a model required by CFD (computational fluid dynamics) computation on the basis of a full-height atmosphere boundary; computing wind speed and turbulent flow distribution under each wind direction condition by virtue of a CFD resolver; computing a wind resource distribution condition according to the wind speed and turbulent flow distribution under each wind direction condition, wind measurement mast coordinates, machine position coordinates, fan power data and wind condition data, and determining a position where a wind turbine generator is suitable to be mounted in a wind power plant. The method can also be used for analyzing wind resources of the wind power plant where the wind turbine generator is arranged.

The invention discloses a wind and light storage generating unit capacity optimal configuration method based on the rated capacity. The method comprises the following steps that firstly, a model is established according to the distribution situation of the local wind resource and the local light resource; secondly, a storage battery device is controlled according to the principle about utilizing the renewable energy sources to the maximum degree and performing constant output, and a coordinated operation strategy of the system is formulated; thirdly, a target function is set to show the expenditure in the life cycle of a generating unit and, and the expenditure is set to be minimal; fourthly, the constraint condition of capacity optimal configuration is determined; fifthly, a fuzzy logic control method is utilized for dynamically adjusting an energy converting model of an energy-storing storage battery so that the energy converting model can achieve rapid convergence; sixthly, based on the target function and the constraint condition, the target function of the generating unit and capacity proportion optimal values of all parts are resolved according to an improved iteration and self-adaptation genetic mixed algorithm. According to the method, a power grid can conveniently assess the generating capacity of the generating unit, and the power grid can easily formulate the dispatching plan and improve the accepting degree for the renewable energy sources.

The invention relates to a method for simulating a wind field by coupling WRF (weather research and forecasting) and OpenFOAM modes. The method comprises the following steps of outputting and processing WRF data in a meso-scale weather mode; manufacturing a small-scale open-source OpenFOAM refined network in a CFD mode for calculating hydromechanics; transferring data between the WRF and OpenFOAM modes; driving the OpenFOAM mode to calculate. The method has the advantages that by adopting the technical scheme, the coupling calculation of the WRF and OpenFOAM modes is realized, the data with several-mile horizontal resolution in the WRF mode is downscaled into the data with 30m resolution in the OpenFOAM mode, the wind field simulating effect in the WRF mode under the complicated terrain is improved, the business levels of wind resource evaluation and wind power prediction are improved, and the predicting accuracy is improved.

The invention discloses a big data combined complex terrain wind electric field design platform and method. The big data combined complex terrain wind electric field design platform comprises a simulation platform, a big data workstation and an optimization layout platform; the simulation platform comprises a meso-scale numerical simulation module, a down-scale wind resource model module, a terrain considered wind field flowing model module and a wake stream model module which are connected successively; the data workstation comprises a wind electric field big data platform and a data analysis model module; and the optimization layout platform comprises a wind electric field generating capacity calculation model module, and a wind electric field optimization layout calculation model module. According to the big data combined complex terrain wind electric field design platform and method disclosed by the invention, a generating capacity model is corrected based on the big data workstation; operation modes and geographical factors which affect fan equipment are embodied in generating capacity calculation to reduce a fatigue loading rate of a fan; and thus, the maintenance cost is reduced, and the fan arrangement is optimized reasonably.

The invention discloses a sea wind resource evaluation method based on a WRF mode. The sea wind resource evaluation method based on the WRF mode mainly comprises the steps of obtaining WRF numerical value weather forecast data and anemometer tower data, building a vertical shear model of wind, building a wind speed probability model, evaluating air density and evaluating wind power density and annual energy output. The sea wind resource evaluation method based on the WRF mode evaluates sea wind resources through the WRF numerical value weather forecast data, and effectively overcomes the defect that a traditional wind resource evaluation technology is low in accuracy.

The invention provides an expert system for designing a wind power station and belongs to the technical field of designing of the expert system. The system comprises an existing wind power station construction wind-measuring tower data module, an existing wind power station construction meteorological station data module, a new construction initial input data module, a wind resource analysis module, a wind power set data module and a wind power set type-selecting module, wherein the new construction initial input data module is used for inputting new wind power station construction initial data; the wind resource analysis module generates a wind resource analysis graph by using the initial data provided by the new construction initial input data module and in reference to the relevant data, which is provided by the existing wind power station construction wind-measuring tower data module and the existing wind power station construction meteorological station data module, of a plurality of existing wind power stations which are adjacent to a new wind power station; the wind power set data module is used for establishing a wind power set data table; and the wind power set type-selecting module recommends the optimal type and distribution of a wind power set according to wind resource data obtained by the wind resource analysis module and according to wind power set data providedby the wind power set data module. The system solves the technical problem that the wind power stations cannot be reasonably and accurately designed.

The invention discloses a wind-driven power generation device and particularly discloses a wind driven generator with double wind wheels with power synthesis. The wind driven generator with the double wind wheels with power synthesis is characterized by comprising a front wind wheel and a back wind wheel, wherein a mechanical synthesis mechanism for connecting the front wind wheel and the back wind wheel is installed between the front wind wheel and the back wind wheel, the front wind wheel and the back wind wheel respectively do work, and the work drives the generator together after the work is synthesized by the mechanical synthesis mechanism. In the wind driven generator with the double wind wheels with power synthesis, one wind wheel is designed behind the front wind wheel, the residual kinetic energy of the front wind wheel after doing the work is recycled, and the work done by the front wind wheel and the back wind wheel drives the generator together after the work is synthesized by the mechanical synthesis mechanism. The structure has the results that the output power of a wind driven generator with the same specification is enhanced by about 60 percent, the utilization rate of wind resources is enhanced, and the economic benefits of the yield and the operation of power generating equipment for wind power generation are enhanced. Meanwhile, a tower is safer by the supporting counter torque of a deboosting tower post.

The invention discloses a method for optimizing and designing island wind electricity generator, diesel engine and storage battery electricity generation power based on an improved particle swarm. The method comprises the following steps of: acquiring island wind resource data at an average wind speed per hour as a unit; acquiring loading data corresponding to the wind speed at the same time at an average load per hour as a unit; determining an island wind, diesel and storage load electricity generation system; linearizing a wind-speed-power curve of the wind turbine; improving a particle swarm optimization (PSO) algorithm; adopting a unit watt cost calculation model; adopting a power loss rate LLP as a ratio of the system power failure time to the estimation period time; output a result so as to obtain the number of wind electricity generators and diesel engines as well as the capacitance of a storage battery when the electricity cost is lowest, and forecasting the unit watt cost. Inthe method, the improved particle swarm algorithm is applied to power supply combined by the wind electricity generator, the diesel engine and the storage battery on the island; according to an energy optimization and scheduling method, the electricity expense is lowest under the condition of meeting the electricity requirement. The method has the advantages of simpleness, high efficiency and accuracy of the obtained optimized result.

The invention discloses a rapid evaluation and optimization method for the wind field adaptability of a wind generating set based on sector distribution. By building a wind resource parameter combination mode, sector control strategies are built, a wind generation set operation information database is built, interpolation calculation of the fatigue load and the generation power of the wind generation set is conducted, and the wind field adaptability is rapidly evaluated through an optimization algorithm. According to the characteristic that sector distribution of wind resource parameters is different, the corresponding sector control strategies are formulated and used as the input conditions for simulation of the wind generating set; and the wind generating set operation information database is built in a simulating mode in advance, and the optimization algorithm is adopted, so that rapid evaluation and optimization of the loads and the generating capacities of all machines in a wind field are achieved. The fatigue loads and the annual generating capacities of the machines in the wind field at the early design stage can be reasonably predicted, the design period is greatly shortened, the development cost of the wind field is saved, and fine design of the wind field is achieved.

The invention relates to a real-time predicting method for output of a wind electric field, which aims at providing a real-time predicting method for output of a wind electric field, which has high predicting precision, strong practicality and short predicting reaction time. The output of the wind electric field is predicted through predicting the wind speed of the wind electric field, and the invention aims to provide reliable basis for a power network to make a schedule plan. The technical problem for solving the problem is as follows: the real-time predicting method for output of a wind electric field is characterized by comprising the following steps of: a. simulating a large-scale circulation field and a meteorological field by a number weather reporting mode according to the real-time refreshed meteorological grid point initial data, and deducing the wind resource state of the representative point; b. sending the wind resource state obtained from the step a to an output calculating model; c. deducing the output of the whole wind electric field by using the output calculating model, and furthermore, deducing the output of a wind electric field group. The invention is mainly used in the wind energy utilizing field, predicts the electric generation amount of a large wind electric generating field, and provides basis for the power network schedule.

The invention discloses a nonstandard wind field oriented wind turbine generator fatigue life efficient assessment method. The steps comprises: 1) according to equivalent fatigue load of a to-be-assessed wind turbine generator under different wind resources, establishing a fatigue load assessment database; 2) detecting actual wind resource value of the to-be-assessed wind turbine generator on a target machine position in a nonstandard wind field, to obtain the equivalent fatigue load corresponding to the actual wind resource value; 3) comparing the equivalent fatigue load with the standard design load of the wind turbine generator, determining whether the fatigue life in the target machine position is in the design range or not; 4) converting the equivalent fatigue load to a corresponding equivalent stress value and calculating a fatigue damage value of the target machine position, and determining whether the fatigue damage value obtained by calculation is in the preset range. The method can effectively assess the fatigue life of the wind turbine generator in the nonstandard special wind field, and is advantaged by simple implementation method, low cost, and rapid and efficient.

Provided is a wind farm design and optimization method and system. The wind farm design and optimization method and system belongs to the technical field of wind farm design. The method includes S1, generating a wind farm ideal matrix according to wind resource conditions of a wind farm; S2, adjusting the wind farm ideal matrix according to boundaries and terrain of the wind farm to obtain a wind farm actual matrix; S3, obtaining wind farm generating capacity of different wind generator row and column arrangement corresponding to the wind farm actual matrix to obtain the wind generator row and column arrangement at the maximum generating capacity as initially optimized wind farm arrangement; S4, moving the row and column of a wind generator with the highest impact on wake flow to achieve the maximum generating capacity; S5, moving the wind generator with wake flow difference greater than a predetermined threshold due to different predominant wind directions in different seasons to achieve the maximum generating capacity; S6, outputting the final optimized wind farm arrangement and the corresponding generating capacity of the wind farm.

The invention discloses a method for establishing a predicated response system based on a wind turbine generator load database. The method comprises the following steps: (1) establishing a load database; (2) exploring a processing scheme of the load database, wherein the processing scheme comprises a first choice scheme and a secondary choice scheme, and the first choice scheme is a regression analysis method; and (3) analyzing and comparing a processing result of the first choice scheme and the processing result of the secondary choice scheme to establish a proper load prediction response system. The advantages and the disadvantages of the prior art are combined to quickly establish the proper prediction response system, the established prediction response system can solve a problem that a load adaptability analysis or anticipation method is low in response speed on model selection requirements, the quick response of the model selection and the micro-location selection of the wind turbine generator is realized through a quick "wind resource-load-strength-adaptability judgment" response mode of the predicated response system, the load situation of each point location can be quickly predicted to be obtained so as to basically realize the "refinement" of the load adaptability analysis.

The invention discloses an effective wind speed estimation method of a high wind speed section of a wind turbine generator system based on SVR. The method comprises two steps of SVR model training and online model use. In the SVR model training process, a sensor is used for obtaining a training characteristic set and a target set; the characteristic set is normalized to obtain a SVR training set; a GA algorithm is used for selecting a penalty parameter and a nuclear function parameter to obtain a trained SVR model; and in the online model use process, output data of an unit is obtained for normalization to input in the trained SVR model to pass through a low-pass filter to obtain a final effective wind speed estimation value. The method reasonably uses the output data of the unit, can perform effective wind speed estimation for a wind turbine generator at the high wind speed section, is simple in design process and liable to actuate, and can replace a LIDAR wind measurement device; and the obtained effective wind speed estimation value can be used for providing feedforward control information and wind power field wind resource estimation for reduction of the mechanical load of the unit, so that the economic benefit of a wind power field is improved.

The invention provides a micro power grid system which comprises a direct current bus, an energy storage device, a first inverter, a plurality of rectifiers, a wind power generator set, a diesel oil generator set, an alternating current load, an alternating current bus and a control device, wherein the wind power generator set and the diesel oil generator set are respectively connected in parallel with the direct current bus through the rectifiers so as to rectify output alternating current power through the rectifiers and convey the alternating current power to the direct current bus; then the direct current bus is connected with the alternating current bus through a first inverter so as to supply power to the alternating current load; the diesel oil generator set is directly connected with the alternating current bus to supply backup power to the alternating current load; the energy storage device is connected in parallel with the direct current bus and is used for raising or stabilizing the voltage of the direct current bus. The micro power grid system provided by the invention takes wind energy as main power generation energy, so that rich wind resources can be fully used; by the adoption of wind power generation, the micro power grid system has the advantages of small occupied area, typhoon resistance and continuity in power supplying at night and can be applied to special districts such as an island.

The invention discloses an optimized arranging method for wind generator groups in a wind farm. The method comprises the following steps: 1, calculating the wind direction frequency of wind in 16 directions at the height of machine set hubs of the wind farm, as well as the direction distribution of effective wind energy density, and drawing a wind direction rose diagram and an effective wind energy rose diagram according to the results; 2, ensuring that the wind generator groups face the main guiding direction of wind directions or the main guiding direction groups of effective wind energy are kept in accordance with each other, so that the rate between the row space and the line space of the wind generator groups are in proportion to the frequency rate between the main guiding direction group and secondary main guiding direction groups of wind directions or wind energy; respectively calculating the generated electrical energy of the two arranging schemes; and confirming a better scheme; and 3, calculating according to row or line space optimized recurrence relational expression (11) of wind generator groups, and carrying out further optimized arrangement. According to the method provided by the invention, the operation of the wind generator groups and the wind resources in the wind farm are matched optimally, so as to collect wind energy to the utmost extent, and acquire maximum upper wire generated electrical energy.

The invention relates to a wind tunnel laundry dryer, comprising wind tunnel, of which one end is connected with fan. Space frame is set on the inner wall of wind tunnel and the wind tunnel achieve the purpose of drying cloth quickly as the high-speed rotary of fan make the air in wind tunnel form convection. By the scheme that one end or two ends of the wind tunnel are connected with the fan in the invention, not only the shortage that prior laundry dryer are not convenience to use in different places and to take is conquered but also the problem that prior fan is provided with single performance is solved. The invention is provided with wide wind resource obtained, using multiple fans in series in the same time, simple structure, low cost, convenience and practicality, using in different places expediently, safety, environmental protection, healthy. It is especially suitable for common people, babies, pupils, baby farms, hostels, hospitals and special industries so on.