Smart, Aware, Integrated Wind Farm Control Interacting with Digital Twins (ICONIC)

与数字孪生交互的智能、感知、集成风电场控制 (ICONIC)

• 批准号: 10095745
• 金额: $ 59.35万
• 依托单位: IMPERIAL COLLEGE LONDON
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10095745
• 关键词: Smart; Aware; Integrated; Wind; Farm

ICONIC aims to develop innovative physical and digital tools to achieve fundamental breakthroughs for the integrated control of wind farms, considering the whole physical system at farm, turbine, and component levels, in particular the complex aerodynamic interactions among turbines. ICONIC aims to increase farm-wide power production by 15-20% under optimal wind speeds and directions for typical wind farms suffering from wake effects, with a 3%-5% increase in annual energy production (AEP) considering all working conditions over the long term. It targets an LCOE reduction of at least 6% compared with the state-of-the-art control tools deployed in the current wind industry by improving farm-wide AEP and reducing operation & maintenance costs via leveraging the latest AI and digital technologies. Extensive validations for the integrated wind farm control solutions will be conducted via high-fidelity simulation models, experiments at a national-level wind tunnel, historical operational data at BP’s and C-Power’s wind farms, a unique collection of test rigs for critical turbine components at respective companies, and real-world wind farm field tests at C-Power. ICONIC’s integrated wind farm control system will contain (1) novel AI-based wind farm control system to unlock wind farms’ full potential; (2) novel dataenhanced wind turbine controllers to fulfil farm-level commands while balancing power generation and load mitigation; (3) an integration with digital twins (DTs) as extra support to improve control and reduce costs, which contains a first-ever farm-level DT for wind farm flow systems replicating detailed physical flow fields and an innovative turbine-level DT with critical component models for loading and lifetime estimations; (4) extensions of the solutions to future 20MW turbines. ICONIC will establish new knowledge and industrial leadership in key digital, enabling and emerging technologies, and deliver next-generation tools for wind farm operation.

ICONIC旨在开发创新的物理和数字化工具，以实现风电场集成控制的根本突破，考虑到风电场，涡轮机和组件级别的整个物理系统，特别是涡轮机之间复杂的空气动力学相互作用。ICONIC的目标是在最佳风速和方向下，将受尾流影响的典型风电场的发电量提高15-20%，考虑到长期的所有工作条件，年发电量（AEP）将增加3%-5%。它的目标是通过利用最新的人工智能和数字技术来改善整个风电场的AEP并降低运营和维护成本，从而使LCOE与当前风电行业中部署的最先进的控制工具相比至少降低6%。综合风电场控制解决方案的广泛验证将通过高保真仿真模型、国家级风洞实验、BP和C-Power风电场的历史运行数据、各自公司关键涡轮机组件的独特测试台以及C-Power的真实风电场现场测试进行。ICONIC的综合风电场控制系统将包含（1）新型的基于人工智能的风电场控制系统，以释放风电场的全部潜力;（2）新型的数据增强型风力涡轮机控制器，以满足风电场级别的命令，同时平衡发电和负载缓解;（3）与数字孪生（DT）集成，作为改善控制和降低成本的额外支持，其中包括有史以来第一个风电场流系统的场级DT，用于复制详细的物理流场，以及创新的涡轮机级DT，其中包括用于负载和寿命估计的关键部件模型;（4）将解决方案扩展到未来的20 MW涡轮机。ICONIC将在关键的数字化、赋能和新兴技术方面建立新的知识和行业领导地位，并为风电场运营提供下一代工具。