Optimal allocation of robotic wind turbine inspectors in a wind farm

Juntao Chen, Quanyan Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wind turbines play an important role in producing clean energy and reducing pollution, but they can fail during the operation due to various types of faults and environment uncertainties. Therefore, one of the key problems in wind energy systems is the resilient control to achieve their high reliability. To reach this goal, we first design a resilient controller by incorporating faults into the wind turbine model. Second, we utilize various kinds of robotic wind turbine inspectors (RWTI) that can detect different types of faults to support the resilient control. Then, we formulate an RWTI allocation problem which aims to minimize the damage due to faults in a wind farm. We quantify the damage by computing the control cost under faults, and also take the probability of fault occurrence into account. The solution to this optimization problem yields an optimal dispatching strategy of RWTIs in a wind farm, and enhances the resiliency of the wind energy system.

Original languageEnglish (US)
Title of host publication2015 IEEE Power and Energy Society General Meeting, PESGM 2015
PublisherIEEE Computer Society
Volume2015-September
ISBN (Print)9781467380409
DOIs
StatePublished - Sep 30 2015
EventIEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States
Duration: Jul 26 2015Jul 30 2015

Other

OtherIEEE Power and Energy Society General Meeting, PESGM 2015
CountryUnited States
CityDenver
Period7/26/157/30/15

Fingerprint

Wind turbines
Farms
Robotics
Wind power
Pollution
Controllers
Costs

Keywords

  • Fault Analysis
  • Resilient Control
  • Resource Allocation
  • Robotic Wind Turbine Inspector

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Chen, J., & Zhu, Q. (2015). Optimal allocation of robotic wind turbine inspectors in a wind farm. In 2015 IEEE Power and Energy Society General Meeting, PESGM 2015 (Vol. 2015-September). [7286634] IEEE Computer Society. https://doi.org/10.1109/PESGM.2015.7286634

Optimal allocation of robotic wind turbine inspectors in a wind farm. / Chen, Juntao; Zhu, Quanyan.

2015 IEEE Power and Energy Society General Meeting, PESGM 2015. Vol. 2015-September IEEE Computer Society, 2015. 7286634.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, J & Zhu, Q 2015, Optimal allocation of robotic wind turbine inspectors in a wind farm. in 2015 IEEE Power and Energy Society General Meeting, PESGM 2015. vol. 2015-September, 7286634, IEEE Computer Society, IEEE Power and Energy Society General Meeting, PESGM 2015, Denver, United States, 7/26/15. https://doi.org/10.1109/PESGM.2015.7286634
Chen J, Zhu Q. Optimal allocation of robotic wind turbine inspectors in a wind farm. In 2015 IEEE Power and Energy Society General Meeting, PESGM 2015. Vol. 2015-September. IEEE Computer Society. 2015. 7286634 https://doi.org/10.1109/PESGM.2015.7286634
Chen, Juntao ; Zhu, Quanyan. / Optimal allocation of robotic wind turbine inspectors in a wind farm. 2015 IEEE Power and Energy Society General Meeting, PESGM 2015. Vol. 2015-September IEEE Computer Society, 2015.
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