Computation of Power System Dynamics Through Mixed-Signal VLSI Emulation

通过混合信号超大规模集成电路仿真计算电力系统动态（提案编号ECS- 0601647）PI：Chika Nwankpa在一个放松管制的电力系统中，动态性越来越强，并且可能更加脆弱，因此对多场景分析的需求变得至关重要。本研究将在目前混合讯号超大规模积体电路仿真技术的基础上，发展大规模电力系统动态的计算技术。智力优点：研究如何根据对实际情况的实时分析，对电网故障的真正原因作出现成的解释，具有根本的重要性。PI将解决硬件和软件方面的问题。主要任务是：1）包含大量时间尺度的超大型系统的深亚微米混合信号模型（芯片级）; 2）最适合大规模参数采集和驱动的分析方法，用于复杂大型系统的实时量化和定性行为。更广泛的影响：新的电力系统计算技术的创建需要工程和科学中多个领域的互动和学习。在本项目范围内开发的新计算引擎将向电力行业和具有商业开发潜力的供应商进行演示。拟议的研究可能会产生深远的影响，可应用于其他关键基础设施，包括通信和运输系统，或实际上依赖于大量相对简单的对象或元素之间相互作用的任何系统。

Computation of Power System Dynamics Through Mixed-Signal VLSI Emulation(Proposal No. ECS- 0601647)PI: Chika NwankpaIn a deregulated power system, increasingly dynamic, and potentially more vulnerable, the need for multiple scenario analysis has become critical. This research will develop computing techniques for large-scale power system dynamics based on current mixed-signal VLSI emulation technology. Intellectual merit: Research on obtaining readily available explanations of the true causes of failures in the grid based on real-time analyses of actual conditions is of fundamental importance. The PIs will address both hardware and software considerations. The main tasks of the work are to develop: 1) deep sub-micron mixed-signal models (chip-level) of very large systems incorporating a multitude of time scales; and 2) analytical methods best equipped for large-scale parameter acquisition and actuation for real-time quantifying and qualifying behavior of complex large systems. Broader impacts: The creation of new, power system computing techniques requires the interaction and learning across multiple fields within engineering and science. New computation engines to be developed within the scope of this project will be demonstrated to power industry and vendors with the potential for commercial development. There are potentially far reaching impacts from the proposed study that can be applied to other critical infrastructures, including, communication and transportation systems, or indeed any system dependent on the interactions among large numbers of relatively simple objects or elements.