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CAREER: The Science of Measurement-based Stability Assessment and Model Validation for Microgrids

职业：基于测量的微电网稳定性评估和模型验证科学

基本信息

批准号：
1944689
负责人：
Luke Dosiek
金额：
$ 50万
依托单位：
Union College
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-02-01 至 2025-01-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1944689&HistoricalAwards=false
关键词：
CAREER Science Measurement based Stability

项目摘要

Measurement-based stability assessment and model validation tools have enjoyed considerable success in bulk power systems (BPS). Due to the unique challenges that microgrids pose, such as unbalanced loading, short line lengths, and high prevalence of inverter-based generation (IBG), such tools cannot be directly applied. Instead, novel and creative approaches must be considered. Microgrid tools must employ multirate signal processing that incorporate data from multiple domains. Additionally, the analysis tools will need to consider stability metrics beyond the modal damping used in the BPS. Finally, synchronized point-on-wave (SPOW) data will be required to capture both the fast inverter dynamics along with all three phases. This work has the potential to dramatically increase the reliability and resiliency of microgrids by providing stakeholders with real-time indicators of stability along with regular model validation and tuning. This will enable more rapid and reliable designs of microgrids, which has the potential to (1) accelerate the paradigm shift from central to distributed generation, (2) reduce community dependence on large corporate- or government-owned energy resources, (3) foster increased use of renewable energy, and (4) enable a new level of rural electrification. The SPOW-based model validation researched here can also be applied to the BPS, where greater confidence in a proposed installation of IBG will lead to increased penetration of renewables, battery storage, and EV charging stations. Outreach activities include visits to local K-12 classrooms where students will be invited to creatively present the history of electric power. At the collegiate level, this project will redesign and modernize the power curriculum at Union College, including a cross-disciplinary course that merges power engineering and music theory that will culminate in a public concert of sonified power grid data. Finally, this project will support the training of a postdoctoral researcher that will be well-prepared to continue these endeavors upon the conclusion of their term. The objective of the project is to research and define the modeling and simulation techniques, the system ID algorithms, and system measurements or functions of measurements that are necessary to enable measurement-based power grid stability assessment and model validation in microgrids. The first task towards achieving this objective is to build a repository of microgrid models. This will involve existing benchmark systems that may be modified as well as new models created specifically for this project. A library of simulation cases will be built that will cover several types of microgrid stability. A real-time digital simulator with hardware-in-loop (HIL) capabilities will be used to simulate the models with the option of including hardware inverter controllers and point-on-wave measurement devices. The second task is to identify which system outputs are necessary for measurement-based stability assessment and model validation in a microgrid. This will need to move beyond synchrophasors, and may include mechanical measurements and SPOW data. This will involve the prototyping of an SPOW measurement device. The third task will research system identification and detection and estimation algorithms for use in measurement-based stability assessment. It is expected that a suite of algorithms will be selected, each specializing in the analysis of a particular stability type. The final task will investigate the use of inverter-based probing signals to facilitate model validation using SPOW data without having to wait for a system event. Successful completion of all tasks will result in a comprehensive system for achieving measurement-based stability assessment and model validation in microgrids.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.

基于测量的稳定性评估和模型验证工具在大容量电力系统（BPS）中取得了相当大的成功。由于微电网带来的独特挑战，例如负载不平衡、线路长度短以及逆变器发电（IBG）的高度普及，此类工具无法直接应用。相反，必须考虑新颖和创造性的办法。微电网工具必须采用多速率信号处理，将来自多个域的数据结合起来。此外，分析工具将需要考虑超出BPS中使用的模态阻尼的稳定性度量。最后，需要同步的波上点（SPOW）数据来捕获所有三相的快速逆变器动态沿着。这项工作有可能通过为利益相关者提供实时的稳定性指标沿着定期的模型验证和调整来显着提高微电网的可靠性和弹性。这将使微电网的设计更加快速和可靠，这有可能（1）加速从集中发电到分布式发电的范式转变，（2）减少社区对大型企业或政府拥有的能源资源的依赖，（3）促进可再生能源的使用，（4）使农村电气化达到新的水平。这里研究的基于SPOW的模型验证也可以应用于BPS，在BPS中，对IBG拟议安装的更大信心将导致可再生能源，电池存储和电动汽车充电站的渗透率增加。外展活动包括参观当地的K-12教室，学生将被邀请创造性地介绍电力的历史。在大学一级，该项目将重新设计联合学院的电力课程并使其现代化，包括一门融合电力工程和音乐理论的跨学科课程，最终将以一场有声电网数据的公共音乐会而告终。最后，该项目将支持博士后研究人员的培训，他们将做好充分准备，在任期结束后继续这些努力。该项目的目标是研究和定义建模和仿真技术，系统ID算法以及系统测量或测量功能，这些都是实现基于测量的电网稳定性评估和微电网模型验证所必需的。实现这一目标的首要任务是建立一个微电网模型库。这将涉及可能被修改的现有基准系统以及专门为此项目创建的新模型。将建立一个模拟案例库，涵盖几种类型的微电网稳定性。具有硬件在环（HIL）功能的实时数字仿真器将用于仿真模型，包括硬件逆变器控制器和波上点测量设备。第二个任务是确定哪些系统输出是微电网中基于测量的稳定性评估和模型验证所必需的。这将需要超越同步相量，并可能包括机械测量和SPOW数据。这将涉及SPOW测量设备的原型设计。第三个任务将研究用于基于测量的稳定性评估的系统识别和检测与估计算法。预计将选择一套算法，每种算法专门用于分析特定的稳定性类型。最后一项任务将研究使用基于逆变器的探测信号，以促进模型验证使用SPOW数据，而不必等待系统事件。成功完成所有任务将产生一个全面的系统，用于实现基于测量的微电网稳定性评估和模型验证。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进行评估，被认为值得支持。