Adaptive power management strategies for arrays of oscillating water column wave energy converters.

该项目的目的是开发一种新的最优和自适应控制策略框架，用于大型振荡水柱阵列(OWC)，一方面可以保证最大功率，另一方面可以保证最小功率振荡。该框架将结合多目标优化和自适应学习算法。首先，我们将分析OWC网络对不同海况和海浪条件的响应。第二，我们将建立个人(分布式)和中央(监控)相结合的控制架构。汽轮机和发电机配置的分布式最优控制策略将被集成到监督自适应控制网络中，以满足两个控制目标：(A)优化单个OWC的发电量，同时自适应地为OWC阵列建立功率相移制度，以减少整体功率振荡；(B)通过自适应学习算法跟踪建模不确定性和干扰，从而实现稳健运行。

The aim of this project is to develop a novel framework of optimal and adaptive control strategies for large arrays of oscillating water columns (OWC) that can guarantee maximum power on the one hand, and minimum power oscillation on the other. The framework will combine multi-objective optimisation with adaptive learning algorithms. First, we will analyse the response of OWC networks to different sea states and wave conditions. Second, we will build a combined individual (distributed) and central (supervisory) control architecture. Distributed optimal control strategies for the turbine and generator configurations will be integrated into a supervisory adaptive control network to address the two control objectives: (a) optimising power generation of individual OWCs while adaptively establishing a power phase shift regime for the OWC array to reduce overall power oscillation; (b) robust operation via adaptive learning algorithms to track modelling uncertainties and disturbances.