Sensor Location Optimization Of Tripod Offshore Wind Power Support Structure And Model Test Research

Offshore wind power is the fastest developing new energy project nowadays. Theconstruction cost is relatively high and the offshore wind infrastructure investmentaccounted for30%of total investment of offshore wind power. The ratio of thedamage to the tower structure of the damage to the units is18%, which means thesupport structure design plays an important role in the structural design of the entirewind power. However, offshore wind power market in China is still in its infancy andthe safety monitoring system for offshore wind power system is not mature yet.Because the environment of the offshore farm is relatively poor, the normal operationof the wind farm would be impacted even causing huge economic losses. They needreal-time monitoring of the support structure of the wind power. The installation ofmonitoring equipment in each node of the support structure of the wind power is notpossible. So the need of offshore wind infrastructure sensor location optimizationstudy is urgent. It can greatly reduce monitoring costs and improve the stability of themonitoring system to obtain mode signals as much as possible with as little aspossible of the sensor.The focus of this study is the location optimization of the support structure foroffshore wind sensor. In previous work, detailed the stress analysis on the supportstructure of the forces using the finite element software to identify the dangerouscomponents and hazardous areasin extreme conditions and normal operatingconditions for the supporting of monitoring focusing on these areas.The create anumerical model of the support structure of the offshore wind, and optimize its sensorlocation with the effective independence method and Guyan Expanding order method.The aim is toobtain as much as possible of the modal information using as little aspossible of the sensor. Reduce the cost of the structure of the monitoring largely. Thefewer the number of sensors is, the more favorable and stable operation of the wholemonitoring system is. The study develops a modal shape non-iterative extended order.This methodintroduces a measured value corresponding to the master DOF corresponding to thecomposite vector values estimated from the degree of freedom and at the same time itamends the structure value of the degrees of freedom vibration type which is nottested in order to achieve the modal shape directly extended order.To a certain extent,there is no need to consider found structure and the finite element model in thestiffness characteristics between modeling error. Directly extend order with thecorrection mode shapes through the value of the degree of freedom vibration modewhich is not tested. The entire estimation process does not require iterative solution,so computational efficiency is also very high. The study verify the reliability of themethod and engineering applicability with the method of three JACKET model test ofthe support structure of offshore wind power.The study selects Eigensystem realization algorithm in this modal parameteridentification method and the Guyan algorithm in the Modal shape expansion. Thetarget of the sensor position optimization is smaller position of the installation depthof the same number. It is the supplementto the numerical research program of thesupport structure of offshore wind sensor location optimization.The study gets the focus area of the support structure of offshore wind powermonitoring from the basic structure of the offshore wind test and at the sametimeobtains structural modal signal processing with the Guyan expansion ordermethod. The result is getting the best arrangement of the sensor location optimizationof the model structure. The number of sensors which are arranged in the physicalmodel tests is less than the number of sensor installation in the numerical study. Andthe sensor arrangement is more reasonable.