CAREER: Towards Enhanced Grid Robustness: Augmenting Grid-Regulating Capabilities Through Discrete Controls on Emerging Power Technologies
职业:增强电网稳健性:通过对新兴电力技术的离散控制增强电网调节能力
基本信息
- 批准号:2044629
- 负责人:
- 金额:$ 50万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-03-01 至 2026-02-28
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This NSF CAREER project aims to improve power system performance and its ability to uptake increased penetration of renewable energy. This project will bring transformative change by enhancing grid robustness through activating a large number of control actuators that would otherwise offer very limited control capabilities. This will be achieved by designing innovative discrete control mechanisms in emerging technologies such as energy storage systems, solar power generation, and wind turbines. The intellectual merits of the project include advancing knowledge in the field of system dynamics, and a holistic approach that can handle the constraints and characteristics of very large-scale systems such as the electric power grid. As broader impacts, this project will provide insights into related problems from other fields where discrete control is applicable. In addition, this project will benefit society with a more reliable power grid with fewer blackouts, and facilitate environmentally friendly power production leading to fewer public health problems caused by local pollution from fossil fuel power plants.The project will develop a framework that extends knowledge of continuous and discrete power grid controls. Actuation design on emerging power technologies to achieve a fast response, and tests on both hardware and simulation-based testbeds are considered. Discrete logics have been explored before for power grid control, but using several simplifying assumptions such as single inter-area oscillation mode, system aggregation on both of the oscillation ends, and a unique controllable component located right on the oscillation path. This project will reexamine this problem from a new perspective and will develop a new theory that connects power system oscillatory behavior with momentary shifting of equilibrium points when discrete power changes are enforced at controllable components. Topics of study will include large-scale dynamic systems, multiple oscillation modes, multiple controllable components, and adaptation to disturbances, all geared towards enhancing power system stability for increased penetration of renewable energy. An integrated educational plan will leverage the research through specific projects for undergraduate and pre-college students and through mentoring programs for Hispanic Americans to support their pursuit for professional or academic careers.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.
这个NSF CAREER项目旨在提高电力系统的性能及其吸收可再生能源渗透率的能力。该项目将通过激活大量控制执行器来增强电网的鲁棒性,从而带来变革性的变化,否则这些执行器只能提供非常有限的控制能力。这将通过在储能系统、太阳能发电和风力涡轮机等新兴技术中设计创新的离散控制机制来实现。该项目的智力优势包括推进系统动力学领域的知识,以及可以处理电网等超大规模系统的约束和特性的整体方法。作为更广泛的影响,该项目将提供从其他领域的离散控制适用的相关问题的见解。此外,该项目还将为社会提供更可靠的电网,减少停电,促进环保型电力生产,减少化石燃料发电厂造成的当地污染所造成的公共健康问题。该项目将开发一个框架,扩展连续和离散电网控制的知识。驱动设计新兴的电源技术,以实现快速响应,并在硬件和基于仿真的试验台上进行测试。离散逻辑以前曾被用于电网控制,但使用了几个简化的假设,如单一的区域间振荡模式,振荡两端的系统聚合,本计画将从一个新的角度重新检视这个问题,并发展一个新的理论,将电力系统的振荡行为与平衡点的瞬间移动联系起来在可控部件处强制执行离散功率变化的点。课程将包括大型动态系统,多种振荡模式,多个可控组件和适应干扰,所有这些都是为了提高电力系统的稳定性,以增加可再生能源的渗透。综合教育计划将通过针对本科生和大学预科生的具体项目以及针对西班牙裔美国人的指导计划来利用研究,以支持他们追求专业或学术生涯。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Addressing Grid Nonlinearities in Discrete Electromechanical Oscillation Control
解决离散机电振荡控制中的电网非线性问题
- DOI:10.1109/naps58826.2023.10318657
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Martinez-Lizana, Sebastian;Pulgar-Painemal, Héctor
- 通讯作者:Pulgar-Painemal, Héctor
On the Search for Expanded Grid Control Capabilities: Discrete Control on Emerging Power Technologies
寻求扩展的电网控制能力:新兴电力技术的离散控制
- DOI:10.1109/tpwrs.2022.3220577
- 发表时间:2023
- 期刊:
- 影响因子:6.6
- 作者:Pulgar-Painemal, Hector;Martinez-Lizana, Sebastian
- 通讯作者:Martinez-Lizana, Sebastian
Supplementary Primary Frequency Control Through Deep Reinforcement Learning Algorithms
通过深度强化学习算法补充主频控制
- DOI:10.1109/naps58826.2023.10318681
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Zelaya-Arrazabal, Francisco;Thacker, Timothy;Pulgar-Painemal, Héctor;Guo, Zhenping
- 通讯作者:Guo, Zhenping
Further Advances on Discrete Electromechanical Oscillation Control
离散机电振荡控制的进一步进展
- DOI:10.1109/naps56150.2022.10012156
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Martinez-Lizana, Sebastian;Pulgar-Painemal, Hector
- 通讯作者:Pulgar-Painemal, Hector
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Hector Pulgar其他文献
Hector Pulgar的其他文献
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{{ truncateString('Hector Pulgar', 18)}}的其他基金
Adaptive dynamic coordination of damping controllers through deep reinforcement and transfer learning
通过深度强化和迁移学习实现阻尼控制器的自适应动态协调
- 批准号:
2033910 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Strengthening power system dynamic operation with the advent of increased renewable generation: Location and control of fast energy storage systems
随着可再生能源发电量的增加,加强电力系统的动态运行:快速储能系统的定位和控制
- 批准号:
1509114 - 财政年份:2015
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
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