A comparison of distributed MPC schemes on a hydro-power plant benchmark

作者：Maestre J M^*; Ridao M A; Kozma A; Savorgnan C; Diehl M; Doan M D; Sadowska A; Keviczky T; De Schutter B; Scheu H; Marquardt W; Valencia F; Espinosa J

来源：Optimal Control Applications and Methods, 2015, 36(3): 306-332.

DOI：10.1002/oca.2154

• distributed model predictive control
• multi agent systems
• hydro-power generation

In this paper, we analyze and compare five distributed model predictive control (DMPC) schemes using a hydro-power plant benchmark. Besides being one of the most important sources of renewable power, hydro-power plants present very interesting control challenges. The operation of a hydro-power valley involves the coordination of several subsystems over a large geographical area in order to produce the demanded energy while satisfying constraints on water levels and flows. In particular, we test the different DMPC algorithms using a 24-h power tracking scenario in which the hydro-power plant is simulated with an accurate nonlinear model. In this way, it is possible to provide qualitative and quantitative comparisons between different DMPC schemes implemented on a common benchmark, which is a type of assessment rare in the literature.

• 出版日期2015-6