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

RII 轨道 4：可再生资源高渗透率电网的概率动态控制稳定性分析

基本信息

批准号：
2033355
负责人：
Di Wu
金额：
$ 19.18万
依托单位：
North Dakota State University Fargo
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-02-01 至 2025-01-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2033355&HistoricalAwards=false
关键词：
RII Track Probabilistic Dynamic Control

项目摘要

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.

传统电网正在经历彻底的转型。值得注意的是，分布式可再生能源的影响对电网的安全可靠运行提出了挑战，并要求采用创新技术来提高可再生能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和博士学生将接受新技术的培训，包括建模不确定的可再生能源发电对电网运行的影响的新方法，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条件下更好地评估电网动态稳定性。这个奖学金将提供一个很好的机会，博士。学生获得宝贵经验和发展新技能。主要研究者将把新技术带回本国机构，即，北达科他州州立大学（NDSU），并将他们介绍给相关领域的其他研究人员，以利于NDSU和北达科他州的未来利益。该奖学金将促进NDESU和NREL之间的强有力的合作伙伴关系，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资源，大大改变了电网动态。基于逆变器的可再生能源（IB-RERs）与电网之间的动态相互作用引起了动态控制稳定性问题。然而，这是具有挑战性的分析在电力系统中的动态控制稳定性的IB-RERs的高渗透，特别是考虑到可变的和不确定的可再生能源发电的影响。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，用于概率评估IB-RERs高度渗透的电网动态控制稳定性。具体的培训和研究目标包括：1）建模不确定的可再生能源发电对动态控制稳定性的影响，2）开发一种新的方法，用于不确定的可再生能源发电下的动态控制稳定性的概率分析，以及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向一个有前途的方向，即通过大规模集成IB-RERs来提高电网的动态稳定性。研究结果将显著推进电网稳定性分析的最新发展，以更好地了解可变和不确定的可再生能源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整合，从而提供更高质量，更可靠，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Small-signal Stability Analysis of Power Systems under Uncertain Renewable Generation

可再生发电不确定性下电力系统小信号稳定性分析

DOI：
10.1109/pesgm48719.2022.9916873
发表时间：
2022
期刊：
2022 IEEE Power & Energy Society General Meeting (PESGM
影响因子：
0
作者：
Zhou, Yuhan;Wang, Guanzhong;Ekic, Almir;Huang, Wei;Wu, Chen;Zhang, Dan;Wu, Di;Xin, Huanhai
通讯作者：
Xin, Huanhai

Impact of Phase Displacement among Coupled Inverters on Harmonic Distortion in MicroGrids

耦合逆变器之间的相移对微电网谐波失真的影响

DOI：
10.1109/itec55900.2023.10186920
发表时间：
2023
期刊：
2023 IEEE Transportation Electrification Conference & Expo (ITEC
影响因子：
0
作者：
Hemmati, Rasul;Kandezy, Reza Saeed;Safarishaal, Masoud;Zoghi, Mahshid;Jiang, John N.;Wu, Di
通讯作者：
Wu, Di

Probabilistic Grid Strength Assessment of Power Systems with Uncertain Renewable Generation based on Probabilistic Collocation Method

基于概率配置法的可再生发电不确定性电力系统概率电网强度评估

DOI：
10.1109/pmaps53380.2022.9810616
发表时间：
2022
期刊：
2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS
影响因子：
0
作者：
Maharjan, Manisha;Ekic, Almir;Wu, Di
通讯作者：
Wu, Di

Estimation of Transmission System Power Transfer Capability at Competitive Renewable Energy Zones

竞争性可再生能源区输电系统电力传输能力的估算