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

该项目从环境、经济和社会的角度改进了模型和计算框架，以保证配电网的可持续性。解决环境可持续性问题的办法是考虑到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。在经济可持续性方面，提出了计算和推理基础，以确保在即将出现大规模配电水平的电力市场时有效和安全的市场运作。最后，社会可持续性通过注重增加经济效用和加强网络安全的网络创新来实现。这项拟议的研究旨在推动配电网络的广泛社会技术进步。成功的项目完成将提供网络创新，使随机可再生发电能够系统地整合，同时提高最终用户的满意度。鉴于这套研究工具和方法无处不在，拟议研究的效用远远超出了设想的应用领域，扩展到优化、随机过程、控制系统、机器学习、统计信号处理和网络安全等更广泛的领域。建议验证的务实测试案例、本科生参与研究和外展活动将产生更广泛的变革影响。

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.