Distributed algorithm for power optimization of offshore wind parks

Electricity generation on offshore wind parks has an increasing economic importance [1] – European Commission goals for 2020 foresee that 12% of the wind energy will be produced on offshore installations, and this share is likely to increase further in the following years. However, the constantly evolving offshore environment and the interaction among turbines at large park sites impose significant challenges to the efficient and economically feasible power production. In this work, we present a distributed control system that optimizes the operation of the wind park and adapts to different weather conditions and park configurations. The solution can be extended to joint optimization of operation and maintenance on wind park level by incorporating health and wear models in the performance criteria and constraints.