RII Track 4: Probabilistic Dynamic Control Stability Analysis in Power Grids with High Penetration of Renewable Resources

传统电网正在经历一场根本性的变革。值得注意的是，分布式可再生能源的影响正在挑战电网的安全可靠运行，并要求采用创新技术来提高可再生资源渗透率高的电网的可靠性和稳定性。在NSF EPSCoR RII Tack-4奖学金的支持下，PI和一名博士生将接受新技术方面的培训，包括对不确定的可再生能源发电对电网运行的影响进行建模的新方法，以及国家可再生能源实验室(NREL)的硬件在环系统仿真平台。PI和学生将与NREL的研究人员密切合作，专注于如何在不确定的可再生能源发电下更好地评估电网动态稳定性。这一奖学金将为博士生提供一个获得宝贵经验和发展新技能的绝佳机会。国际和平研究所将把新技术带回自己的机构，即北达科他州立大学(NDSU)，并将它们介绍给相关领域的其他研究人员，以利于NDSU和北达科他州未来的利益。这一奖学金将促进NDSU和NREL之间的牢固伙伴关系，并帮助北达科他州更好地实现其可再生能源目标。通过电力电子逆变器越来越多地整合可再生能源，显著改变了电网动态。基于逆变器的可再生能源与电网的动态相互作用导致了动态控制稳定性问题。然而，在电网渗透率较高的情况下，尤其是考虑到可变和不确定的可再生发电的影响，分析电网的动态控制稳定性是一项具有挑战性的工作。该奖学金的总体目标是支持PI在NREL的培训和合作研究，重点是开发和验证一种新的方法，用于以概率方式评估具有高IB-RER渗透率的电网的动态控制稳定性。具体的培训和研究目标包括：1)建模不确定可再生发电对动态控制稳定性的影响；2)提出一种新的不确定可再生发电下动态控制稳定性的概率分析方法；3)在先进的硬件在环仿真平台上接受培训并进行概念验证。该项目将扩大PI的研究能力，并将他的职业道路转变为一个有前途的方向，即通过大规模的IB-RER集成来提高电网的动态稳定性。这项研究的结果将大大推进电网稳定性分析的最新水平，以更好地了解可变和不确定的可再生发电对动态控制稳定性的影响，并最终支持电网中的大规模可再生能源集成，从而为全美数百万客户提供更高质量、更可靠和更清洁的电力。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The legacy power grid is undergoing a radical transformation. Notably, the impact of distributed renewable energy resources is challenging the safe and reliable operation of the power grid and calling for innovative techniques to enhance the reliability and stability in power grids with high penetration of renewable resources. With the support of this NSF EPSCoR RII Tack-4 fellowship, the PI and a Ph.D. student will receive training on new techniques, including novel approaches for modeling the impact of uncertain renewable generation on grid operation and a hardware-in-loop system simulation platform at the National Renewable Energy Laboratory (NREL). The PI and the student will closely collaborate with NREL researchers by focusing on how to better assess grid dynamic stability under uncertain renewable generation. This fellowship will provide an excellent opportunity for a Ph.D. student to gain valuable experience and develop new skillsets. The PI will bring the new techniques back to the home institution, i.e., North Dakota State University (NDSU), and introduce them to other investigators in related fields for the future benefit of NDSU and North Dakota. This fellowship will foster a strong partnership between NDSU and NREL, and help the state of North Dakota better meet its renewable energy goals.The increasing integration of renewable energy resources via power electronic inverters have significantly changed grid dynamics. The dynamic interactions between inverter-based renewable energy resources (IB-RERs) and the power grid have caused the dynamic control stability issue. However, it is challenging to analyze dynamic control stability in power grids with high penetration of IB-RERs, especially considering the impact of variable and uncertain renewable generation. The overarching goal of this fellowship is to support the PI’s training and collaborative research at NREL, focusing on the development and validation of a novel approach for probabilistically assessing dynamic control stability in the power grid with high penetration of IB-RERs. Specific training and research objectives include: 1) modeling the impact of uncertain renewable generation on the dynamic control stability, 2) developing a novel method for probabilistic analysis of dynamic control stability under uncertain renewable generation, and 3) receiving training on advanced hardware-in-loop simulation platforms and performing proof-of-concept validation. This project will expand the PI’s research capacity and transform his career path towards a promising direction in enhancing the dynamic stability of the power grid with large-scale integration of IB-RERs. The results of the research will significantly advance the state-of-the-art of grid stability analysis to better understand the impact of variable and uncertain renewable generation on dynamic control stability, and ultimately support the large-scale renewable integration in power grids, thus providing higher-quality, more reliable, and cleaner electricity to millions of customers across the United States.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.