CyberSEES: Type 2: Collaborative Research: Tenable Power Distribution Networks

该项目推进建模和计算框架，从环境、经济和社会的角度保证配电网络的可持续性。环境可持续性是通过考虑与可再生能源发电和弹性负荷的快速和临时整合相关的不确定性增加来解决的。在经济可持续性方面，提出了计算和推理基础，以确保面对即将出现的大规模配电级电力市场的有效和安全的市场运行。最后，通过以提高经济效用和增强网络安全为重点的网络创新来实现社会可持续性。拟议的研究旨在促进配电网络的广泛社会技术进步。项目的成功完成将提供网络创新，使随机可再生能源发电的系统集成成为可能，同时提高最终用户满意度。鉴于这套研究工具和方法的普遍性，拟议研究的实用性远远超出了预期的应用领域，涉及更广泛的领域，如优化、随机过程、控制系统、机器学习、统计信号处理和网络安全。更广泛的变革影响将来自为验证而提出的实用测试用例、本科生参与研究和拓展活动。

This project advances modeling and computational frameworks to guarantee the sustainability of power distribution networks from environmental, economic, and social perspectives. Environmental sustainability is addressed by accounting for the increased uncertainty associated with the rapid and ad-hoc integration of renewable generation and elastic loads. With regard to economic sustainability, computational and inference foundations are put forth to ensure effective and secure market operations in the face of the imminent emergence of large-scale distribution-level electricity markets. Lastly, social sustainability is effected through cyber innovations focused on increasing economic utility and enhancing cyber security. The proposed research aims for broad socio-technical advances in electricity distribution networks. Successful project completion will offer cyber innovations that enable the systematic integration of stochastic renewable generation while improving end-user satisfaction. Given the ubiquity of the suite of research tools and methodologies, the utility of the proposed research goes well beyond the envisioned application area to the broader fields of optimization, stochastic processes, control systems, machine learning, statistical signal processing, and cyber security. Broader transformative impact will result from pragmatic test cases proposed for validation, involvement of undergraduates in research, and outreach activities.