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风电变流技术 储能系统 ★ 5.0

考虑日前风浪预测的多港口海上风电场维护调度与船舶路径规划

Maintenance scheduling and vessel routing for offshore wind farms with multiple ports considering day-ahead wind-wave predictions

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中文摘要

摘要 风能持续成为增长最快的可再生能源来源,其中海上风电的开发在全球范围内发挥着关键作用。然而,一个重要的挑战是海上风电港口容量不足,可能导致安装和维护计划的延误。现有的运维(OAM)框架通常忽略了港口和船舶可用性受限所带来的约束,主要关注资源无限制条件下对维护调度的影响。为解决这一问题,本文提出一种新颖的以资源为中心的维护策略(RCMS),该策略纳入了多种资源条件对机会性维护调度及多类型船舶路径规划的影响。与传统的以设备健康状态为中心的维护策略不同,RCMS通过量化动态风速变化带来的机会来优化决策。利用日前风速和波高预测信息,优化港口启用机制以及来自不同港口的多类型船舶协同调度,在确保及时执行维护任务的同时实现资源的灵活配置。因此,该方法综合考虑了各类资源(气象条件、运维船舶和运维港口)的正面与负面影响。实验结果表明,对于具有多个港口的海上风电场集群,与易于实施的策略及两种固定港口策略相比,RCMS可分别降低总体运输成本74.6%、0.9%和6.1%。

English Abstract

Abstract Wind power continues to be the fastest-growing source of renewable energy, with offshore wind development playing a crucial role globally. However, one significant challenge is the inadequate capacity of offshore wind ports, which may lead to delays in installation and maintenance plans. Existing operations and maintenance (OAM) frameworks generally overlook constraints imposed by limited port and vessel availability, focusing primarily on the effects of unrestricted resources on maintenance schedules. To address this issue, this article proposes a novel resource-centered maintenance strategy (RCMS) that incorporates the impact of various resource conditions on opportunistic maintenance scheduling and multi-type vessel routing. Unlike traditional health-centered maintenance strategies, the RCMS quantifies the opportunities emerging from dynamic wind speeds . By leveraging day-ahead predictions of wind speeds and wave heights, the port activation and the collaborative dispatching of multi-type vessels from different ports are optimized, ensuring timely maintenance execution while achieving flexible resource allocation. Accordingly, both the positive and negative impacts of resources (weather conditions, service vessels , and OAM ports) are considered. Experimental results show that for offshore wind farm clusters with multiple ports, the RCMS can reduce overall transportation costs by 74.6 %, 0.9 %, and 6.1 % compared to the easy-to-implement and two fixed port strategies.
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SunView 深度解读

该资源中心维护策略对阳光电源海上风电储能系统(PowerTitan/ST系列PCS)具有重要借鉴价值。文中基于气象预测的动态调度优化思路可应用于iSolarCloud平台,通过整合风-光-储多资源协同调度,优化储能系统充放电策略与运维计划。特别是多端口协同调度方法可启发分布式储能集群的灵活资源配置,结合GFM控制技术提升海上新能源并网稳定性,降低运维成本74.6%的成果验证了预测性维护的经济价值,可增强阳光电源智慧运维竞争力。