CPS: Small: Controlling Sub- and Supersynchronous Oscillations in Inverter-dominated Energy CPS

CPS：小型：控制逆变器主导的能源 CPS 中的次同步和超同步振荡

• 批准号: 2317272
• 负责人: Nilanjan Ray Chaudhuri
• 金额: $ 45万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2317272&HistoricalAwards=false
• 关键词: CPS; Small; Controlling; Sub; Supersynchronous

This NSF project aims to solve the problem of oscillations faced by power grids with high penetration of renewable energy that are disrupting system operations. The project will bring transformative change in fundamental understanding of such phenomena and propose new control strategies to damp the oscillations by leveraging the cyber layer of the power grid including sensors and communication network. This will be achieved by novel approaches of modeling the cyber physical power grid that can capture such phenomena, and centralized and decentralized controls that can damp such oscillations even in presence of anomalies in sensor measurements including cyber-attacks. The intellectual merits of the project include development of computationally manageable cyber physical models, novel sensor grouping and algorithms for data recovery from corruption, and control methods that do not rely on detailed renewable plant models. The broader impacts of the project include solving a major impediment of renewable energy integration that can help tackle climate change, integrating the proposed research in summer camps with high school students, offering summer internships for underrepresented minorities, informing curricula, and student engagement through Penn State’s Center for Engineering Outreach and Inclusion.The proposed project has three key thrusts addressing the sub- and super-synchronous oscillations (SSOs) in presence of inverter-based resources (IBRs). First, a scalable, computationally manageable, and linearizable dynamic phasor-based modeling framework with unbalance simulation capability for grids with high penetration of IBRs is proposed, which is coupled to a realistic cyber layer model with data packet drops and delays. Second, a centralized remedial action scheme based damping control is proposed that relies on three steps – (a) offline phasor measurement unit (PMU) placement, online dynamic signal grouping, and signal recovery from sparse and non-sparse corruption, (b) detection and source localization of SSOs using dissipating energy flow (DEF) approach, and (c) determination of generation re-dispatch through a novel DEF sensitivity calculation. Third, decentralized modulation-based corruption-resilient SSO damping is proposed based on model predictive control (MPC) framework that does not require knowledge of IBR models, wherein the computational burden will be reduced by estimating a map by offline training of neural networks.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.

NSF的这个项目旨在解决可再生能源高度渗透的电网所面临的振荡问题，这些问题正在扰乱系统运行。该项目将带来对此类现象的根本理解的变革，并提出新的控制策略，通过利用电网的网络层（包括传感器和通信网络）来抑制振荡。这将通过对网络物理电网进行建模的新方法来实现，这些方法可以捕获这种现象，以及集中和分散的控制，即使在传感器测量中存在异常（包括网络攻击），也可以抑制这种振荡。该项目的智力优势包括开发可计算管理的网络物理模型，新颖的传感器分组和数据恢复算法，以及不依赖于详细的可再生工厂模型的控制方法。该项目更广泛的影响包括解决可再生能源整合的一个主要障碍，这有助于应对气候变化，将拟议的夏令营研究与高中生结合起来，为代表性不足的少数民族提供暑期实习机会，为课程提供信息，和学生参与通过宾夕法尼亚州立大学的工程外展和包容中心。拟议的项目有三个关键的推力解决子-和超级-同步振荡（SSO）在存在基于逆变器的资源（IBR）的情况下。首先，提出了一个可扩展的，计算可管理的，和线性化的动态相量为基础的建模框架，具有不平衡的仿真能力的网格具有高渗透率的IBR，这是耦合到一个现实的网络层模型与数据包丢失和延迟。其次，提出了一种基于集中式补救措施的阻尼控制方案，该方案依赖于三个步骤：（a）离线相量测量单元（PMU）放置，在线动态信号分组，以及从稀疏和非稀疏损坏中恢复信号，（B）使用耗散能量流（DEF）方法检测和定位SSO源，以及（c）通过新的DEF灵敏度计算确定发电重新调度。第三，基于模型预测控制（MPC）框架提出了基于分散调制的抗破坏SSO阻尼，该框架不需要IBR模型的知识，其中，通过离线训练神经网络来估计地图，从而减少计算负担。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进行评估，被认为值得支持的搜索.