CPS: Medium: Robust Distributed Wind Power Engineering

利用风能是我们这个时代的紧迫挑战之一。风力发电系统的规模、复杂性和鲁棒性提出了引人注目的网络物理系统设计问题。利用普渡大学的物理基础设施，该项目旨在为分布式实时控制开发全面的计算基础设施。与专注于小型项目的传统努力相反，该项目强调集成风电场的可编程性，鲁棒性，寿命和保证。所提出的计算基础设施的设计的动机，并验证，复杂的网络物理相互作用的基础风力发电工程。目前还没有用于表达风电场协调行为的高级工具。该项目旨在利用所提出的信息物理系统验证集成控制技术可以显著提高性能、减少停机时间、提高维护的可预测性以及增强操作环境中的安全性的论点。该项目具有重大的广泛影响。风能在美国是增长最快的清洁、可再生的国内生产能源。这种清洁能源的生产力和寿命的提高，即使只有几个百分点，也将对整体能源格局和决策产生重大影响。减少故障和提高安全性将大大有助于塑造公众对风力发电场的看法-加速当地社区更广泛的接受。考虑到“智能”风电场的相对幼稚，该项目的潜力怎么强调都不为过。

Harnessing wind energy is one of the pressing challenges of our time. The scale, complexity, and robustness of wind power systems present compelling cyber-physical system design issues. Leveraging the physical infrastructure at Purdue, this project aims to develop comprehensive computational infrastructure for distributed real-time control. In contrast to traditional efforts that focus on programming-in-the-small, this project emphasizes programmability, robustness, longevity, and assurance of integrated wind farms. The design of the proposed computational infrastructure is motivated by, and validated on, complex cyber-physical interactions underlying Wind Power Engineering. There are currently no high-level tools for expressing coordinated behavior of wind farms. Using the proposed cyber-physical system, the project aims to validate the thesis that integrated control techniques can significantly improve performance, reduce downtime, improve predictability of maintenance, and enhance safety in operational environments.The project has significant broader impact. Wind energy in the US is the fastest growing source of clean, renewable domestically produced energy. Improvements in productivity and longevity of this clean energy source, even by a few percentage points will have significant impact on the overall energy landscape and decision-making. Mitigating failures and enhancing safety will go a long way towards shaping popular perceptions of wind farms -- accelerating broader acceptance within local communities. Given the relative infancy of "smart" wind farms, the potential of the project cannot be overstated.