A Sea-State-Dependent Control Strategy for Wave Energy Converters: Power Limiting in Large Wave Conditions and Energy Maximising in Moderate Wave Conditions
A Sea-State-Dependent Control Strategy for Wave Energy Converters: Power Limiting in Large Wave Conditions and Energy Maximising in Moderate Wave Conditions
复制标题
波浪能转换器的与海况相关的控制策略：大波浪条件下的功率限制和中波浪条件下的能量最大化
DOI：
10.1109/tste.2024.3373121
复制
发表时间：
2024
影响因子：
8.8
通讯作者：
Liao Z
中科院分区：
文献类型：
--
作者：
Liao Z
波浪能转换器（WECs）的传统控制策略通过放大其响应来最大化WEC的功率捕获，但这加剧了通常没有考虑到的硬件约束违规，导致电气系统在不利的波浪条件下意外关闭。当WECs运行接近功率输出（PTO）容量时，主要控制目标是限制峰值功率以实现硬件保护目的，从而实现更长的连续发电时间。在本文中，我们提出了一种基于模型预测控制的海况相关控制策略，以最大限度地提高具有现实PTO的WEC的年发电量：在小海况到中等海况下，它采用传统的能量最大化目标函数来增加输出功率，而在较高的海况下，可以使用限速目标函数来实现在需要关闭之前更长的发电时间。虽然这种控制策略适用于广泛的WEC，但在这里，我们对称为M4的衰减器WEC进行了案例研究，其中齿轮箱传动和永磁同步发电机（PMSG）作为其PTO，正在为澳大利亚奥尔巴尼的1/4规模海洋测试而设计。仿真结果表明，与基准被动阻尼控制器相比，目标地点的年发电量有望提高66%。
Conventional control strategies for wave energy converters (WECs) maximise power capture of the WEC by amplifying its responses, but this exacerbates hardware constraint violations not generally taken into account, causing undesirable shutdown of electrical systems in adverse wave conditions. When WECs operate close to power take-off (PTO) capacity, the primary control objective is to limit peak power for hardware protection purposes, enabling longer continuous electricity generation time. In this paper, we propose a sea-state-dependent control strategy based on model predictive control to maximise the annual energy production of a WEC with a realistic PTO: in small to moderate sea states it adopts a conventional energy-maximising objective function to increase output power, while in higher sea states a speed-limiting objective function may be utilised to enable longer generating time before shutdown becomes necessary. While this control strategy applies to a wide range of WECs, here we carry out the case study on an attenuator WEC called M4, with gearbox transmission and a permanent magnet synchronous generator (PMSG) as its PTO, which is being designed for a 1/4 scale ocean test in Albany, Australia. Simulation results show that compared with a benchmark passive damping controller, a 66% increase in annual energy production can be expected at the targeted site.