Wind Turbine Power Optimization: Experimental Validation of Extremum Seeking and Perturb/Observe Strategies

Abstract

This paper presents an experimental methodology to test and validate two Maximum Power Point Tracking (MPPT) strategies on variable speed wind turbines. The first technique of this study is an Extremum Seeking (ES) control strategy which does not require any wind turbine model or wind speed measurements. The analysis shows that its convergence can be quite slow in some cases. For this reason, we improve the ES control with a specific inner-loop that speeds up the convergence of the strategy. Additionally a conventional Perturb and Observe (P&O) algorithm is also implemented for comparison purposes. The proposed ES strategy with an additional inner loop controller shows fast tracking capability and high stability under both constant and variable wind speed in simulations and experiments. Both approaches are verified in Matlab simulations and experiments with a lab-scale wind turbine and a fully instrumented wind tunnel at CWRU-CESC.

Wind farm cooperative control for optimal power generation

“…At the same time, the second WT was controlled with a Maximum Power Point Tracking (MPPT) strategy, according to a classical Power Signal Feedback (PSF) method, to maintain the maximum R 1 rotor power coefficient at C P 2 = C Pmax = 0.22 at every wind speed (see Garcia-Sanz and Houpis, 2012; Annoni et al, 2014; Wang et al, 2016). As defined in this strategy, the optimum target power P opt was…”