Real-time monitoring, prognosis, and resilient control for wind turbine systems

Gao, Zhiwei and Sheng, Shuangwen (2018) Real-time monitoring, prognosis, and resilient control for wind turbine systems. Renewable Energy, 116. pp. 1-4. ISSN 0960-1481

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Official URL: https://doi.org/10.1016/j.renene.2017.10.059

Abstract

Wind turbine is a complex system composed of a variety of subsystems such as blade, gear box, drive train, generator, power converters, control unit etc., which brings challenge to do real-time monitoring, diagnosis and resilient control from a system level. Furthermore, wind farms are generally composed of tens and hundreds of wind turbines, which are even more challenging to do monitoring, prognosis and resilient control due to the nature of multi-agents and distribution. This special issue aims to provide a platform for academic and industrial communities to report recent results and emerging research direction in real-time monitoring, fault diagnosis, prognosis and resilient control and design for wind turbine systems.

Item Type: Article
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Zhiwei Gao
Date Deposited: 27 Nov 2017 10:21
Last Modified: 30 Oct 2018 12:45
URI: http://nrl.northumbria.ac.uk/id/eprint/32644

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