Model-free control of wind farms: A comparative study between individual and coordinated extremum seeking. (December 2017)

• Record Type: Journal Article
• Authors: Ciri, Umberto; Rotea, Mario A.; Leonardi, Stefano
• Is Part Of: Renewable energy. Volume 113(2017)
• Page Start: 1033
• Page End: 1045
• Publication Date: 2017-12
• Subjects: Wind farm control -- Optimization -- Extremum seeking control -- Dynamic programming -- Large eddy simulations; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2017.06.065
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: Large Eddy Simulations of the turbulent flow over an array of wind turbines have been performed to evaluate a model-free approach to power optimization. Two different implementations have been tested: (i) individual extremum-seeking control (IESC), which optimizes the power of the single turbines individually; (ii) nested ESC (NESC), which coordinates the single controllers to seek a farm-level optimum. Both schemes provide a gain over the baseline, which operates all the turbines with ideal design set-points. These settings are found to be sub-optimal for waked turbines. The NESC provides a slightly larger power production than the independent ESC, albeit it has a slower convergence to the optimum. Therefore, depending on wind variability, both strategies may be employed. IESC is more appropriate for sites with wind conditions changing on a short time scale, while NESC should be preferred when the wind conditions are quite stable. Since the extremum-seeking algorithm is model-free, uncertainties in atmospheric conditions, aging of the turbine or numerical dissipation due to the sub-grid model should not change the general conclusions reached in this paper. This methodology can provide reliable results and permits to gain, through the analysis, a useful knowledge on the mechanisms leading to the performance enhancement. Highlights: Coordinated and individual extremum-seeking control strategies for wind farm power maximization are evaluated using LES. Both the individual and coordinated approach provides a considerable power gain compared to the baseline (about 7%). The coordinated scheme yields the best improvement, but requires a longer time to converge. Depending on specific circumstances, individual control may be preferred trading performance gain with time to convergence.