Collaborative Research: CISE-MSI: DP: CPS: Cyber Resilient 5G Enabled Virtual Power System for Growing Power Demand

协作研究：CISE-MSI：DP：CPS：支持网络弹性 5G 的虚拟电源系统，满足不断增长的电力需求

• 批准号: 2219701
• 负责人: Kanwalinderjit Kaur
• 金额: $ 14.5万
• 依托单位: CSUB Auxiliary for Sponsored Programs Administration
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2219701&HistoricalAwards=false
• 关键词: Collaborative; Research; CISE; MSI; DP

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).The demand for clean power is on the rise globally. The United States Department of Energy has projected that the percentage of clean electricity generated by solar power will increase to 33% to compete with the ever-growing electricity demand in the United States (US) by the year 2050. To minimize the upgradation of the existing substation and source infrastructure, it is favorable to integrate a solar energy source aided with battery storage system at the distribution level. The combination of these energy sources can be managed efficiently to behave like a "single utility-scale power station”. This is the concept of Virtual Power Plant (VPP). This project aims to address the implementation of cyber-secure pole mounted solar and battery systems equipped with smart controllers to provide a framework to remotely control and optimize the system to provide a solution to the growing power demands. Furthermore, by employing and mentoring students from underrepresented backgrounds in STEM, this project will aim at bridging the gap in institutions across the US. It will train the next generation of scholars from minority serving universities and marginalized communities in the fields of cybersecurity, utilization of renewable resources, and machine learning to address the pressing problems of this age.The technical aspect of the project aims to design and implement a 5G-enabled, cyber resilient smart Artificial Intelligence (AI) based microinverter for a pole-mounted solar power system with an energy storage system connected to the low-voltage distribution networks to operate as a VPP. The data collected from the smart microinverter will be used to train a predictive model to better manage the system for improved performance. A secure and privacy-preserving 5G based communication protocol will allow uninterrupted and secure data flow between the photovoltaic and the battery system, the smart microinverter, and the Supervisory Control and Data Acquisition (SCADA) system. Hence, a security framework based on Machine Learning (ML) models will be designed and it will be based on prior cyber-attack datasets and will include continuous learning using the data collected from smart controllers and the SCADA system used to detect cyber-attacks and exploring mitigation solutions for 5G-enabled SCADA-controlled VPP network system. Guidelines and procedures will be designed to help secure the physical systems while ensuring privacy and data protection by alerting administrators regarding security compromises of the VPP network to mitigate the risks and attacks.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项是根据2021年《美国救援计划法》的全部或部分资助的（公共法117-2）。对清洁能源的需求在全球范围内增加。美国能源部预测，太阳能产生的清洁电力百分比将增加到33％，以竞争到2050年与美国（美国）不断增长的电力需求竞争。为了最大程度地减少现有变电站和源基础设施的升级，它有利于在电池储存级别集成辅助能源在分配级别上。这些能源的组合可以有效地管理，以表现为“单一公用事业规模的发电站”。这是虚拟发电厂（VPP）的概念。该项目旨在解决配备智能控制器的网络安全杆安装的太阳能和电池系统的实施，以提供一个框架，以远程控制和优化系统，以为不断增长的功率需求提供解决方案。此外，通过雇用和心理化的STEM中代表性不足的学生，该项目将旨在弥合美国各地的机构的差距。它将在网络安全领域，可再生资源的利用以及机器学习来解决该年龄的紧迫问题的下一代学者，并在网络安全领域的边缘化社区培训，以解决该年龄的紧迫问题。低压分配网络可作为VPP运行。从智能微型逆变器收集的数据将用于训练预测模型，以更好地管理系统以提高性能。安全且具有隐私的基于5G的通信协议将允许光伏和电池系统，智能微型逆变器以及监督控制和数据采集（SCADA）系统之间的不间断和安全数据流。因此，将设计基于机器学习（ML）模型的安全框架，它将基于先前的网络攻击数据集，包括使用从智能控制器收集的数据以及用于检测网络攻击的SCADA系统的持续学习，并探索5G启用Scada-Scada-Scada-Scada控制的VPP VPP VPP网络系统。指南和程序将旨在帮助保护物理系统，同时通过向管理人员提醒VPP网络的安全妥协来降低风险和攻击，以确保隐私和数据保护。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子和更广泛影响的评估来审查审查标准的评估，被视为珍贵的支持。