Abstract
Abstract Renewable energy reliability has been the main agenda nowadays, where the internet of things (IoT) is a crucial research direction with a lot of opportunities for improvement and challenging work. Data obtained from IoT is converted into actionable information to improve wind turbine performance, driving wind energy cost down and reducing risk. However, the implementation in IoT is a challenging task because the wind turbine system level and component level need real-time control. So, this paper is dedicated to investigating wind resource assessment and lifetime estimation of wind power modules using IoT. To illustrate this issue, a model is built with sub-models of an aerodynamic rotor connected directly to a multi-pole variable speed permanent magnet synchronous generator (PMSG) with variable speed control, pitch angle control and full-scale converter connected to the grid. Besides, a large number of various sensors for measurement of wind parameters are integrated with IoT. Simulations are constructed with Matlab/Simulink and IoT ’Thingspeak’ Mathworks web service. IoT has proved to increase the reliability of measurement strategies, monitoring accuracy, and quality assurance.
Highlights
The Internet is a gigantic intercontinental network of networks
Data obtained from internet of things (IoT) is converted into actionable information to improve wind turbine performance, driving wind energy cost down and reducing risk
A model is built with sub-models of an aerodynamic rotor connected directly to a multi-pole variable speed permanent magnet synchronous generator (PMSG) with variable speed control, pitch angle control and full-scale converter connected to the grid
Summary
The Internet is a gigantic intercontinental network of networks. The nodes that comprise each one of these networks were classically used to be computers. CPS integrates control centers, communication networks, sensors and actuators with the physical components [1]. Cloud services, provided by data centers, could be exploited to process such big data [1]. This imposes several challenges in case IoT and cloud computing are coupled directly to each other. The main purpose of the fog is to move the burden of dealing with vast amounts of data from the cloud to the edge of the IoT, near the end devices. To the best of our knowledge, this is the first attempt to employ IoT to enhance the reliability of producing renewable energy from wind turbines.
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