1452 results about "Typhoon" patented technology

The invention discloses a comprehensive monitoring and early warning system based on meteorology and a power grid GIS and a method thereof. The system comprises a data layer and an application layer. The data layer consists of a meteorological database, a power grid GIS database, and a production and operation database. The application layer includes a meteorological monitoring module, a meteorological early warning module, a power grid weather module, an information display module, and an auxiliary decision-making module. The meteorological database, the power grid GIS database, and the production and operation database carry out communication mutually; and the meteorological monitoring module, the meteorological early warning module, the power grid weather module, the information display module, and the auxiliary decision-making module carry out communication with the meteorological database, the power grid GIS database, and the production and operation database respectively. According to the invention, meteorological monitoring information like the temperature, wind direction, and wind speed and the like of important power equipment like a transformer substation, a transmission and transformation line, and a tower can be gotten in real time; and visual meteorological real-time data can be provided for the power grid. Meanwhile, prediction and disaster early warning information of the typhoon and thunder and the like can be provided every 12 hours in the next seven days.

The invention discloses a physical prediction method for wind power station power based on a computational fluid mechanics model. The physical prediction method comprises the following steps: establishing a computational fluid mechanics model; performing discretization on wind conditions of a wind power station, and taking the discretized wind as boundary conditions for conditions numerical simulation of the computational fluid to obtain space flow filed distribution of the wind power station at the discretized wind conditions; establishing data base of hub height, wind speed, wind direction and generated power of wind generation sets under the discretized wind conditions; and taking numerical weather prediction parameters as input data, and utilizing the data base to figure out the wind speeds and the wind directions of the wind generation sets so as to figure out the generated powers of the wind generation sets, and accordingly obtain predicted value of the wind power station power. According to the invention, the physical prediction method is applicable to multiple wind power stations, has small calculated amount in the power prediction stage and has short calculation time.

The invention provides a simulation modeling method for equivalent simulation of a doubly-fed wind-power generator set. A frequency converter of the doubly-fed wind-power generator set is simulated by controlled source. The simulation modeling method includes the following steps of (1), building a model of a circuit of the doubly-fed wind-power generator set; (2) building an equivalent model of the doubly-fed wind-power generator set; (3) building a grid-integration testing system of the doubly-fed wind-power generator set; and (4) setting up a testing system for multiple wind-power generator sets, wherein in the step (2), the equivalent model of the doubly-fed wind-power generator set is built on the basis of characteristics of a controlled voltage source of an alternating-current side and a controlled current source of a direct-current side of the frequency converter of the doubly-fed wind-power generator set. By the aid of the simulation modeling method, transient-state characteristics of the doubly-fed wind-power generator set can be simulated accurately, and different characteristics and mutual affection among multiple wind-power generator sets can be computed. High-frequency on and off of fully-controlled devices cannot be taken into consideration, and simulation efficiency is improved greatly. The more the wind-power generator sets are simulated, the more evidently the efficiency is improved, simulation step-length can be increased on the premise of guaranteeing accuracy, and simulation efficiency is improved greatly.

A computer-executable method is executed by a CPU as the following steps of: obtaining an interested range in relation to a target typhoon and obtaining historical typhoons within the interested range from a wind and typhoon database; obtaining shortest distances from the respective historical typhoons to the target typhoon within the interested range; choosing a target ground grid point and obtaining normalized extreme wind speeds of the respective historical typhoons corresponding to the target ground grid point; obtaining extreme wind speeds probable for the target ground grid point by calculation according to the normalized extreme wind speeds and the highest wind speed of the center of the target typhoon; and arranging the extreme wind speeds in descending order, arranging the shortest distances corresponding to the respective extreme wind speeds, and obtaining the occurrence probability of the extreme wind speeds at the target ground grid point according to a formula.

The invention provides an urban multi-disaster risk loss evaluation system based on an open source system framework and a building spatial database. The urban multi-disaster risk loss evaluation system comprises an 1a) MAEviz open source framework development platform based on an Eclipse RCP frame, wherein the MAEviz open source framework development platform is used for extending a flood, wind damage and tsunami disaster loss evaluation module so as to realize multi-disaster urban risk loss evaluation; a 1b) disaster information module which is used for analysis of the risk and the dangerousness of flood, typhoon, earthquake and other natural disasters and evaluation of regional disaster-causing possibility; a 1c) spatial geographic information module which provides a common GIS function so as to realize construction of a localized urban disaster-affected body geographic information system property database; an 1d) urban disaster-affected body type classification and vulnerability analysis module which is used for establishing a building vulnerability module base of typical building structures under different disasters; and a 1e) disaster loss evaluation module which is used for damage prediction of disaster-affected body structures and damage loss evaluation of the disaster-affected bodies.

The invention relates to a historical data based intelligent early warning system for typhoon and flood, comprising a database system used for storing historical data, predicting data and GIS base map data, a neural network prediction server, a WEBGIS graph display system and a WEB server, wherein the neural network prediction server is used to process the historical data to obtain prediction data which is then stored in the database system; the WEBGIS graph display system displays data in the database system graphically and publishes the data through the WEB server; the WEB server receives prediction request data inform a user client and displays the corresponding prediction result to the user in the form of WEB. Compared with the prior art, the invention has the characteristics of high prediction accuracy, intuitive display of the current storm surge information and forecasting of storm surge information. Besides, the historical data based intelligent early warning system for typhoon and flood can be taken as an auxiliary decision making system for forecasters to forecast storm surges.

The self adjusting ocean current generating device with simple structure, less jamming from the typhoon, reliable and safe in running, it comprises a base whose top fastens a brace control system and who has sleeves that equipped with vane generator units, the said brace control system including several primary transducers and sequentially connecting with a primary generators, pulleys, cables and braces. The said generator units comprise vane brace that passes through the generator platform and controls the motor, vane shaft, vane, gear box and generator, and the said vane brace has several secondary transducers and the brace of the generator platform in the brace control system connects with the generator platform of the said vane generator units. Utilizing the ocean current, the invention can make the vanes driving generators and self adjust the angle and depth of the vane based on the volume and direction of the ocean current, so as to generate the biggest current.

The invention discloses a method for establishing a wind farm random model based on factors such as wind farm input wind speed and wind direction chance fluctuation, wake flow effect between wind generating sets, an electric network in a wind farm and the like. The technical scheme comprises the following steps of: grouping the wind generating sets based on the wind farm wind speed and wind direction chance fluctuation; equating wind farm power according to a constant power exchange principle between the wind farm and a power grid before and after the equating; equating model parameters such as a generator of a wind generating set, a shaft system, a control system and the like according to a principle that the dynamic characteristic of the wind farm is constant before and after the equating; and keeping the detailed degree of an equivalent wind generating set model the same as that of a single wind generating set by rationally selecting an equivalent wind generating set reference value. When wind farm interconnecting analysis is performed by the model established by the method, the defects brought on the basis of the absence of the factors such as the wind farm input wind speed and wind direction chance fluctuation, the wake flow effect between the wind generating sets, the electric network and the like are overcome, and more accurate wind power data is provided for power grid dispatching and reasonable production plan arrangement.

The invention relates to a typhoon disaster risk estimate method. The method includes performing statistics and analysis on loss data caused by a typhoon disaster in a specified monitored area, selecting disaster-inducing risk, disaster-formative environment sensitivity, disaster-affected body vulnerability and disaster preventing and reducing capacity to build a typhoon disaster risk estimate index system, building a typhoon disaster risk estimate model with the theory of fuzzy transformation, taking typhoon estimate results as start conditions and input conditions of the estimate model, and judging whether the estimated area is induced a typhoon disaster or not in a future period of time and determining a disaster-inducing risk level through calculating and analyzing of the estimate model. Accordingly, early-warning capability of meteorological disasters is improved by the typhoon disaster risk estimate method.

A system and method of operating a wind farm, having multiple wind turbine generators, at high wind speeds is provided. Wind speeds at individual wind turbine generators are monitored and a signal is transmitted from the wind turbine generators to a wind farm control system based on the monitored wind speeds. Rate of change of collective power output of the wind farm is temporally monitored and is controlled by coordinating of operational states of the wind turbine generators based upon the signals transmitted by the one or more wind turbine generators, operating conditions of the wind turbine generators and the monitored rate of change of power output of the wind farm.

A probability evaluation method of failure caused by typhoon to a power transmission line is suitable for evaluating failure probability after the power transmission line is affected by the typhoon. The method mainly comprises the steps of quantitative evaluation on the power transmission line affected by the typhoon as well as environmental factors and probability modeling of the line failure caused by the typhoon. In the quantitative evaluation, ways of the failure caused by the typhoon to the power transmission line and key factors including inner factors (design strength, state and the like of lines) and outer factors (typhoon, terrain, rainfall and other factors) are mainly evaluated; and in the probability modeling, a reasonable failure probability model is mainly established to calculate the line failure probability corresponding to the quantitative evaluation results of the key factors. The probability evaluation method has the beneficial effects that the evaluation on various loads and real-time anti-wind capability of complicated lines and towers is avoided, the effect of the inner factors and the outer factors and the characteristics of the various failure ways are simultaneously considered, a mechanism that the failure of the line is caused by the typhoon is satisfied, and the capacity of a power system in defending the typhoon disaster is improved in combination with a wide-area measurement, analysis, protection and control system.

The invention discloses a typhoon prediction method based on a deep learning hybrid CNN-LSTM model, and aims to solve the problems of unstable prediction result and low accuracy of an existing typhoonprediction method. According to the technical scheme, firstly, a historical optimal tropical cyclone path data set and global atmospheric marine variable data are obtained to form a data set of a training model, and then a typhoon prediction model of hybrid CNN-LSTM (Long Short Term Memory) is constructed, and training fitting is carried out on the typhoon prediction model of the hybrid CNN-LSTMby use of the data set of the training model, and finally, the trained hybrid CNN-LSTM typhoon prediction model is used for predicting whether the typhoon is formed or not and predicting the formed path and intensity. According to the typhoon prediction method and system, existing public data sets and a deep learning framework can be conveniently used for constructing and predicting the model, andafter typhoon data and atmospheric marine variable data in recent dozens of years are used for training the constructed model, the trained model can be directly used for effectively improving the typhoon prediction accuracy.

The invention discloses a power transmission line wind tunnel test system and method applied to a typhoon field. The typhoon field is used as a test wind field. The test system consists of a test tower made according to a discrete stiffness method, two tangent towers serving as far-end supports, two strain towers, six four-span four-bundle conductors, two four-span ground wires and 18 insulator chains. The test is carried out respectively at three wind angles of 90 degrees, 75 degrees and 60 degrees. Through an aeroelastic model multi-angle wind tunnel test, the displacement and the acceleration response of the test tower under the conditions of different wind speeds and different wind angles in the typhoon field can be tested, the gust response coefficient of a concerned part can be calculated, and the characteristics of wind-induced response of the power transmission line in the typhoon field are analyzed through comparison with those in a well-conditioned wind field.

The invention belongs to the technical field of typhoon intensity prediction, and specifically relates to a typhoon intensity prediction method and a system. The typhoon intensity prediction method includes: step a: statistics and analysis of historical typhoon data; step b: selecting an environmental prediction factor related to typhoon intensity change, and calculating and extracting parameter data related to the environmental prediction factor; and step c: building a multiple linear regression model, taking the parameter data related to the environmental prediction factor of the historical typhoon data into the multiple linear regression model for regression model training, obtaining a typhoon intensity prediction equation according to a training result, and calculating the typhoon intensity according to the typhoon intensity prediction equation. According to the typhoon intensity prediction method and the system, not merely basin typhoon can be predicted, all types of typhoon can be predicted, the prediction range is wider, the selection of the environmental prediction factor is more comprehensive, and the accuracy of typhoon intensity prediction is improved.

The present invention proposes a one-axis solar tracker system and apparatus which is simple to install, lower cost and with the provision of an electric-magnetic locking device to resist from medium to strongest wind condition like hurricane or typhoon. Solar farms is more and more popular to use one-axis tracker due to lower cost, higher wind resistance and easier for large scale solar farm installation, especially at lower latitude tropic zones. This disclosure proposes a one-axis tracker with multiple posts support using a single or dual linear actuators driving mechanism for rotation. It is also equipped with a wind lock device to lock the solar tracker in horizontal neutral position during strong wind condition such as hurricane or typhoon. The stepwise wind lock device can further be applied to locking the solar tracker following each step of linear actuator activation enabling the disclosed solar tracker to operate in windy conditions.

The present invention discloses an air blowing method for controlling vortex-induced vibration of a large-span bridge steel box girder at a low wind speed. According to the air blowing method, when the steel box girder has a large vortex-induced vibration amplitude, air blowing devices arranged at two sides of the steel box girder are utilized to blow air at the leeward side of the steel box girder, so as to disturb the formation of a vortex shedding phenomenon at the leeward side of the steel box girder structure, thereby avoiding vortex-induced resonance of the steel box girder; wherein a vibration sensor arranged on the steel box girder is used to monitor vortex-induced vibration response of the steel box girder in real time, when the measured vortex-induced vibration amplitude of the steel box girder is greater than a preset amplitude threshold, a control system calls real-time monitoring data of a wind speed and wind direction sensor, starts the air blowing devices at the leeward side and automatically adjusts the air blowing speed. The air blowing method is mainly applied to control for vortex-induced vibration of the large-span bridge steel box girder, is high in automation degree and obvious in control effect, and provides a brand new effective means for the large-span bridge steel box girder in a strong wind/typhoon high frequency region to resist the vortex-induced vibration.

The invention relates to a tropical cyclone full path simulation method facing disaster risk assessment. The tropical cyclone full path simulation method comprises concrete steps: a first step of establishing a start point model, and taking samples to simulate yearly occurrence frequency of tropical cyclones and generate start point information; a second step of establishing a marching model, and simulating the moving speed and orientation of the tropical cyclones to form a tropical cyclone path; a third step of establishing strength models including an ocean surface strength development model and a land strength attenuation model, and selecting the corresponding strength model in dependence on the latitude and longitude of the next point in the tropical cyclone path; a fourth step of examining the path simulation result, and carrying out statistical result examination and statistical rule analysis on the randomly-generated tropical cyclone path and the strength large sample; and a fifth step of establishing a typhoon wind field engineering model and a boundary layer model, calibrating wind field model key parameters, calculating the typhoon wind speed on the simulated point, and carrying out typhoon risk disaster assessment. The tropical cyclone full path simulation method facing disaster risk assessment can achieve refined evaluation, and is accurate and reliable in result, high in calculating efficiency and wide in application scope.

The invention discloses a method for discriminating a typhoon path. The problem of determination of a similar typhoon path is solved by algorithms of type differences and value differences among different typhoons and by using a buffer zone analysis technology and a superposition analysis technology in a global information system (GIS). Meanwhile, the method is based on the given typhoon basic data without addition of observation data and has highly strong service availability.

The invention provides an electric power typhoon disaster resistance simulation analysis early warning system based on the three-dimensional digital Earth. The system comprises an information display module, a geographical data service module, an electric power data service module, a meteorological data module and an electric power early warning analysis module. According to the system, the three-dimensional digital Earth is taken as a display carrier, electric power equipment, the meteorological environment and the geographical environment are combined together, so a multi-layer spatial structure of the electric power network is intelligibly displayed, and relationship and influence between the electric power and the geographical environment and between the electric power and the meteorological environment are further displayed; the meteorological environment is established in the three-dimensional environment, simulation leads capable of simulating wind swinging and broken line dropping are constructed in the three-dimensional electric power, typhoon broadcasting data is utilized for electric power early warning and analysis, and correction is carried out according to geographical situations, accuracy is not only improve, but also calculation efficiency is further improved, influence of typhoon exerted on the electric power can be predicted, and powerful support can be provided for electric power typhoon disaster resistance.

The invention discloses a wind power plant reliability modeling method considering a correlation between an air speed and a fault of a wind turbine generator. The method comprises the following steps: initializing parameters; calculating each correlation coefficient of the Weibull distribution parameter of the wind power plant air speed and the wind power plant air speed; calculating the correlation coefficient between the wind power plant air speed and the quantity of fault wind turbine generators; forming a matrix containing the correlation coefficients between the wind power plant air speeds and between the same wind power plant air speed and the quantity of the fault wind turbine generators; selecting an optimal Copula function; simulating and generating a related multi-dimensional random number sequence; adopting an inverse transformation method for simulating and generating the air speed sequence and the fault wind turbine generator quantity sequence of each wind power plant; calculating an hour output power sequence of the single wind turbine generator of each wind power plant during a normal running process; calculating the hour output power sequence of each wind power plant; using a linear dividing or clustering method for establishing an equivalent multi-mode output power model. A wind power plant reliability model established according to the method provided by the invention can overcome the defects of the traditional wind power plant reliability modeling method.

The invention provides a method for excavating a tropical cyclone motion track channel, which comprises the following steps: A, segmenting the space and a tropical cyclone motion track by a grid to obtain segments of tropical cyclone motion sub-tracks; B, computing the similarity between the tropical cyclone motion sub-tracks by using the adjusted discrete Frechet distance; C, hierarchically clustering the tropical cyclone motion sub-tracks to obtain track clusters of the tropical cyclone motion sub-tracks; and D, connecting the track clusters of the tropical cyclone motion sub-tracks to obtain the tropical cyclone motion track channel. The method can effectively discover the tropical cyclone motion track channel, combines historical tropical cyclone path data to excavate the tropical cyclone motion behavior mode in specific areas, provides a direct and effective tool for analyzing and predicting typhoon disaster, and provides decision support for disaster prevention and reduction.