Adaptive Signal Processing Strategy for a Wind Farm System Fault Accommodation⁎. Issue 24 (2018)

• Record Type: Journal Article
• Authors: Simani, Silvio; Castaldi, Paolo
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 24(2018)
• Page Start: 52
• Page End: 59
• Publication Date: 2018
• Subjects: Offshore wind farm -- fault diagnosis -- fault tolerant control -- data-driven method -- model-based approach -- adaptive control -- nonlinear control; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.09.528
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In order to improve the availability of offshore wind farms, thus avoiding unplanned operation and maintenance costs, which can be high for offshore installations, the accommodation of faults in their earlier occurrence is fundamental. This paper addresses the design of an active fault tolerant control scheme that is applied to a wind park benchmark of nine wind turbines, based on their nonlinear models, as well as the wind and interactions between the wind turbines in the wind farm. Note that, due to the structure of the system and its control strategy, it can be considered as a fault tolerant cooperative control problem of an autonomous plant. The controller accommodation scheme provides the on-line estimate of the fault signals generated by nonlinear filters exploiting the nonlinear geometric approach to obtain estimates decoupled from both model uncertainty and the interactions among the turbines. This paper proposes also a data-driven approach to provide these disturbance terms in analytical forms, which are subsequently used for designing the nonlinear filters for fault estimation. This feature of the work, followed by the simpler solution relying on a data-driven approach, can represent the key point when on-line implementations are considered for a viable application of the proposed scheme.