Active Fault—Tolerant Control of Offshore Wind Farm Installations. Issue 21 (2015)

• Record Type: Journal Article
• Authors: Simani, S.; Farsoni, S.; Castaldi, P.; Mimmo, N.
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 21(2015)
• Page Start: 1351
• Page End: 1356
• Publication Date: 2015
• Subjects: Active fault-tolerant control system -- nonlinear geometric approach -- data-driven scheme -- fault estimation -- offshore wind farm; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.09.713
• 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. Therefore, this paper addresses the design of an active fault tolerant control scheme that is applied to a small wind park benchmark of nine wind turbines, based on their nonlinear models, as well as the wind and interactions among the wind turbines in the wind farm. The controller accommodation scheme relies on the on-line estimate of the fault signals generated by nonlinear filters designed via the nonlinear geometric approach. In this way, these estimates are decoupled from both the model uncertainty and the interactions among the turbines. This paper proposes also a data-driven scheme to provide these disturbance terms in analytical forms, which are subsequently used for designing the nonlinear filters for fault estimation. In general, purely nonlinear analytic approaches, where the system nonlinearity and disturbance decoupling properties are explicitly considered, could require complex design strategies. Therefore, this simpler solution relying on a data-driven approach can represent the key point when on-line implementations are considered for the viable application of the proposed scheme. The wind farm benchmark is considered to validate the performances of the suggested scheme in the presence of different fault conditions, modelling and measurement errors. The methodology proposed is also compared with respect to two different fault tolerant control strategies.