ReMIROR: Reference Modulation for Improved Response of Microgrid Resources

ReMIROR：改善微电网资源响应的参考调制

• 批准号: 1953198
• 负责人: Ali Mehrizi-Sani
• 金额: $ 5.63万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-15 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1953198&HistoricalAwards=false
• 关键词: ReMIROR; Reference; Modulation; Improved; Response

One of the U.S. grand energy challenges is to enable integration of at least 80% renewable energy resources in the power grid at a competitive cost by 2050. While it is technically feasible to run the U.S. economy on renewable technologies available today, what is missing is a flexible power system that can accommodate the unique characteristics of renewable resources, such as their susceptibility to overcurrents and overvoltages due to power electronic interfaces. This project will address this challenge and accelerate the adoption of renewables by enabling them to deliver the required system performance via fast and accurate controls. The significance of this work is to eliminate the need for over-design by reducing transients and subsequently increasing asset utilization. Moreover, this work positively impacts industry because by reducing sensitivity to the individual design of controllers, controllers from different vendors can be employed. It should also contribute to enabling higher rates of integration of renewables, and is expected to have positive societal and environmental impact. The developed controllers can be adapted for different power system configurations, ranging from small isolated systems such as more-electric aircraft, naval ships, utility microgrids, and military camps, to DC-segmented systems. The educational goal of this project is to build human capacity for implementation/operation of the smart electricity grid through (i) workshops for underrepresented minority groups in high schools, (ii) curriculum enhancement through introducing innovative components in undergraduate and graduate courses, and (iii) developing new undergraduate and graduate courses. This goal addresses national concerns for producing skilled STEM professionals.The project team will develop schemes to autonomously improve set-point tracking capability of resources in a time-varying, limited-reserve system under various operating conditions. A prominent example of such systems is a microgrid. Microgrids have emerged as an enabling concept for the emerging smart power system. As dynamical systems, it is imperative for microgrids to have fast and accurate controllers. The performance of a controller deteriorates when the operating point of the host system varies significantly from that assumed in the original design. Redesigning controllers requires computational resources and a complete and up-to-date model of the system, neither of which are necessarily readily available in a microgrid. Moreover, the operator usually does not have access to the internal parameters of the controller. This project aims to augment the controllers that are already implemented with a strategy that monitors the response and modulates the reference set-point to attain the desired response. Specifically, this project will (i) build the mathematical foundation and stability studies based on discrete-event systems theory, (ii) design algorithms for generalized operation, e.g., under system imbalance and noisy measurements, and for providing advanced functions, e.g., rejection of disturbances due to faults and topological changes, and (iii) perform real-time simulation and experimental validation. The salient features of the proposed strategy will be (i) robustness to changes in the system, (ii) not requiring knowledge of the system model, and (iii) scalability and reliance only on local signals. This project will be transformative because it has the potential to accommodate different control designs from implemented by various vendors.

美国面临的重大能源挑战之一是到 2050 年以具有竞争力的成本实现至少 80% 的可再生能源并入电网。虽然利用当今可用的可再生技术来运行美国经济在技术上是可行的，但缺少的是一个灵活的电力系统，该系统可以适应可再生资源的独特特性，例如由于电力电子接口而对过电流和过电压的敏感性。该项目将解决这一挑战，并通过快速准确的控制提供所需的系统性能，从而加速可再生能源的采用。这项工作的意义在于通过减少瞬态并随后提高资产利用率来消除过度设计的需要。此外，这项工作对行业产生了积极影响，因为通过降低对控制器单独设计的敏感性，可以采用来自不同供应商的控制器。它还应有助于提高可再生能源的整合率，并有望产生积极的社会和环境影响。开发的控制器可适应不同的电力系统配置，范围从小型隔离系统（如多电动飞机、海军舰艇、公用事业微电网和军营）到直流分段系统。该项目的教育目标是通过（i）为高中代表性不足的少数群体举办讲习班，（ii）通过在本科生和研究生课程中引入创新内容来增强课程，以及（iii）开发新的本科生和研究生课程，培养实施/运营智能电网的人员能力。这一目标解决了国家对培养熟练 STEM 专业人员的担忧。项目团队将制定方案，在各种操作条件下自主提高时变、有限储备系统中资源的设定点跟踪能力。此类系统的一个突出例子是微电网。微电网已成为新兴智能电力系统的启用概念。作为动态系统，微电网必须拥有快速、准确的控制器。当主机系统的工作点与原始设计中假设的工作点显着不同时，控制器的性能会下降。重新设计控制器需要计算资源和完整且最新的系统模型，而这两者在微电网中都不一定容易获得。此外，操作员通常无法访问控制器的内部参数。该项目旨在通过监控响应并调节参考设定点以获得所需响应的策略来增强已实施的控制器。具体来说，该项目将（i）基于离散事件系统理论建立数学基础和稳定性研究，（ii）设计通用操作算法，例如在系统不平衡和噪声测量下，并提供高级功能，例如拒绝由于故障和拓扑变化引起的干扰，以及（iii）执行实时仿真和实验验证。所提出策略的显着特征是（i）对系统变化的鲁棒性，（ii）不需要系统模型的知识，以及（iii）可扩展性和仅依赖本地信号。该项目将具有变革性，因为它有可能适应不同供应商实施的不同控制设计。

项目成果

Submodule Fault Detection in MMCs using Support Vector Classification

使用支持向量分类进行 MMC 子模块故障检测

• 发表时间: 2021
• 期刊: IEEE ISGT Europe
• 作者: Venkatachari, Sidhaarth;Mohammadhassani, Ardavan;Mehrizi-Sani, Ali
• 通讯作者: Mehrizi-Sani, Ali

Frequency Scan–Based Mitigation Approach of Subsynchronous Control Interaction in Type-3 Wind Turbines

• DOI: 10.3390/en14154626
• 发表时间: 2021-07
• 期刊: Energies
• 影响因子: 3.2
• 作者: Faris Alatar;A. Mehrizi‐Sani

Load Frequency Control in Variable Inertia Systems

变惯量系统中的负载频率控制

• DOI: 10.1109/tpwrs.2020.3014778
• 发表时间: 2020
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Syed, Mazheruddin H.;Guillo-Sansano, Efren;Mehrizi-Sani, Ali;Burt, Graeme M.
• 通讯作者: Burt, Graeme M.

Transient behaviour verification and controller tuning for an uncertain grid‐connected photovoltaic system using reachability analysis

使用可达性分析对不确定并网光伏系统进行瞬态行为验证和控制器调整

• DOI: 10.1049/rpg2.12212
• 发表时间: 2021
• 期刊: IET Renewable Power Generation
• 影响因子: 2.6
• 作者: Shabestari, Parisa M.;Mehrizi‐Sani, Ali
• 通讯作者: Mehrizi‐Sani, Ali

Fault Current Directionality in Islanded Microgrids Using SVM and Synthetic Harmonic Injection

使用 SVM 和合成谐波注入研究孤岛微电网中的故障电流方向性

• 发表时间: 2021
• 期刊: IEEE ISIE
• 作者: Mohammadhassani, Ardavan;Mehrizi-Sani, Ali;Saleh, Khaled
• 通讯作者: Saleh, Khaled