{"title":"Wind turbine monitoring and control systems using Internet of Things","authors":"D. Kalyanraj, S. Prakash, S. Sabareswar","doi":"10.1109/ICTFCEN.2016.8052714","DOIUrl":null,"url":null,"abstract":"Present Wind mills have certain limiting factors. Most of the wind farms are located quiet far from the power utilizing areas; Monitoring and controlling of such farms are very tedious. Wind farms may be located far inside the sea, may be between the mountains, or Forests. Thus when minor faults occur, the people have to go to that particular location for fault clearing. It requires lot of man power, time and faces sever economical difficulties. Readings of a particular plant is also taken by the similar methods. These limitations can be overcome by the use of Internet of Things concept. Most of the existing products use memory card or PC for data logging. This stored data is accessible only in that particular PC alone. This limitation is also addressed by IoT technology. This work proposes a low cost Wind turbine monitoring and control system with data logging facility. By the use of this proposed system, Parameters of the particular wind plant like amount of Power generation, Magnitude of instantaneous voltage and currents, level of vibration, Turbine speed, Humidity and Temperature can be monitored and used anywhere. In the proposed system Turbine control is adopted based on the turbine vibration level and IoT is implemented by using Raspberry Pi and arduino microcontrollers.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTFCEN.2016.8052714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
Present Wind mills have certain limiting factors. Most of the wind farms are located quiet far from the power utilizing areas; Monitoring and controlling of such farms are very tedious. Wind farms may be located far inside the sea, may be between the mountains, or Forests. Thus when minor faults occur, the people have to go to that particular location for fault clearing. It requires lot of man power, time and faces sever economical difficulties. Readings of a particular plant is also taken by the similar methods. These limitations can be overcome by the use of Internet of Things concept. Most of the existing products use memory card or PC for data logging. This stored data is accessible only in that particular PC alone. This limitation is also addressed by IoT technology. This work proposes a low cost Wind turbine monitoring and control system with data logging facility. By the use of this proposed system, Parameters of the particular wind plant like amount of Power generation, Magnitude of instantaneous voltage and currents, level of vibration, Turbine speed, Humidity and Temperature can be monitored and used anywhere. In the proposed system Turbine control is adopted based on the turbine vibration level and IoT is implemented by using Raspberry Pi and arduino microcontrollers.