Components, Run-time Substrates, and Systems: Medium: Holonic Multi-Agent Control of Intelligent Power Distribution Systems

智能配电系统的Holonic Multi-Agent控制该项目将展示一种能够自适应控制未来配电系统（PDS）的Holonic Multi-Agent系统架构，预计未来配电系统将包括大量可再生发电机、储能设备以及先进的计量和控制设备。该项目将产生一个通用的，可扩展的，安全的网络架构的基础上，子整体多智能体的原则，以支持自适应PDS。它将产生新的分析见解，以量化信息延迟，质量和流量对PDS架构的设计和分析的影响。最后，它将开发一种新的方法来自动化PDS与分布式可再生资源的高渗透率，以提高效率，可靠性，安全性和弹性未来PDS的复杂性将要求他们适应反应和主动适应正常和异常的操作模式。该项目产生的架构将能够优化性能，并在正常和轻微事件期间将系统保持在操作限制范围内，例如减少太阳能电池板输出的云层覆盖。该架构还将允许配电系统在紧急情况下（如飓风/地震、电网故障或恐怖行为）作为孤岛运行。 该项目将通过模拟激励未来的工程师，让学生注入故障，故障和天气事件，看看智能PDS将如何响应。 这些活动将结合联合收割机的网络和物理专业知识，从而创造一个劳动力为明天做好准备？的网络物理系统的挑战。现有的大学项目将用于让代表性不足的少数民族和美国退伍军人参与该项目。

Holonic Multi-Agent Control of Intelligent Power Distribution Systems This project will demonstrate a Holonic Multiagent System Architecture capable of adaptively controlling future electrical power distribution systems (PDS), which are expected to include a large number of renewable power generators, energy storage devices, and advanced metering and control devices. The project will produce a general, extensible, and secure cyber architecture based on holonic multiagent principles to support adaptive PDS. It will produce new analytical insights to quantify the impact of information delay, quality and flow on the design and analysis of the PDS architecture. Finally, it will develop a novel approach to automating PDS with high penetration of distributed renewable resources for higher efficiency, reliability, security, and resiliency.The complex nature of future PDS will require them to adapt reactively and proactively to normal and anomalous modes of operation. The architecture produced by this project will be capable of optimizing performance and maintaining the system within operating limits during normal and minor events, such as cloud cover that reduces solar panels output. The architecture will also allow the operation of a distribution system as an island in emergencies, such as hurricanes/earthquakes, grid failures, or terrorist acts. The project will inspire future engineers via a simulation that will allow students to inject faults, failures, and weather events to see how an intelligent PDS will respond. These activities will combine cyber- and physical expertise, thus creating a workforce prepared for tomorrow?s cyber-physical system challenges. Existing university programs will be used to involve under-represented minorities and U.S. veterans in the project.