Research And System Design Of Intelligent Control Technology For Double-fed Fan Cabin Temperature

Wind energy is a renewable energy with huge resource potential and mature technology.Under the new situation of reducing greenhouse gases and coping with climate change,wind energy has received more and more attention from all countries in the world.The large number of operation of the doubly-fed fan unit,coupled with the long-term operation of the fan and the deterioration of the operating environment of the fan,caused the fan engine room,gear box and generator heat sink to be contaminated,and the dust blocked the air intake of the cooling system,resulting in the heat exchanger in the engine room.The performance is degraded,and the space in the cabin is limited.Many high-temperature heat sources and components such as gear boxes,generators,and electric control cabinets are arranged in a small space,and the temperature in the whole or local area is too high,resulting in wind power.Generator gearbox oil,generator and other over-temperature,fan limited power operation or even shutdown,the most serious damage to components,so for the doubly-fed wind turbine to develop an efficient and diversified,can meet the monitoring and processing of wind turbine problems Intelligent control systems are necessary.Firstly,using CFD to carry out three-dimensional numerical simulation analysis of air flow and temperature characteristics in the cabin,obtain the flow field and temperature distribution cloud map of different parts in the cabin,and compare the cloud map under different conditions to find the influence temperature and flow field distribution.The main factor is to propose a reasonable design scheme for the intelligent control system of the doubly-fed cabin air temperature to ensure that the components in the wind turbine nacelle work within the optimal temperature range.Secondly,according to the design scheme,the hardware part of the temperature intelligent control system is designed,and advanced temperature sensors are deployed in the main heat source of the cabin to form an all-round,high-precision,real-time sensing and detection of the cabin temperature.Compared with different types of fan characteristics,an axial fan suitable for the inside of the fan cabin is selected and installed at the bottom of the nacelle to improve the gas flow of the cabin.Complete the hardware design of the intelligent cabin filtration system,compare the characteristics of the four commonly used filter materials,and select the filter material of the optimal cabin.Finally,through the analysis of the functional requirements of the cabin temperature intelligent control system,the software part of the temperature intelligent control system is developed,and the Java EE architecture of the three-layer B/S structure is used.The three open source frameworks are used,and the presentation layer is implemented by combining JSP technology.MVC's design model builds a stable and well-functioning cabin temperatureintelligent control system application.Comparing and analyzing the temperature and output active power curves of the three sets of prototype gearboxes,it is concluded that the intelligent control system of the cabin temperature can effectively monitor and control the operation of the fan,improve the efficiency of the generator,and solve the existing problems in the current cabin environment of the wind turbine.It provides a solid theoretical basis and basis for the follow-up of this study.By designing the intelligent control system of the cabin temperature,the paper reduces the overall temperature of the cabin environment,reduces the over-temperature failure rate of the cabin,saves manpower and material resources,and improves the operating efficiency of the wind turbine and the economic benefits of the wind farm.