CAREER: Towards Enhanced Grid Robustness: Augmenting Grid-Regulating Capabilities Through Discrete Controls on Emerging Power Technologies
CAREER: Towards Enhanced Grid Robustness: Augmenting Grid-Regulating Capabilities Through Discrete Controls on Emerging Power Technologies
批准号:
2044629
负责人:
Hector Pulgar
金额:
$50.0万
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
项目状态:
未结题
起止时间:
2021-03-01 至 2026-02-28
中文摘要
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英文摘要
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.
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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:
North American Power Symposium
影响因子:
--
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:
IEEE Transactions on Power Systems
影响因子:
6.6
作者:
[Pulgar-Painemal, Hector, Martinez-Lizana, Sebastian]
通讯作者:
Martinez-Lizana, Sebastian
DOI:
10.1109/naps56150.2022.10012156
发表时间:
2022
期刊:
North American Power Symposium
影响因子:
--
作者:
[Martinez-Lizana, Sebastian, Pulgar-Painemal, Hector]
通讯作者:
Pulgar-Painemal, Hector
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:
North American Power Symposium
影响因子:
--
作者:
[Zelaya-Arrazabal, Francisco, Thacker, Timothy, Pulgar-Painemal, Héctor, Guo, Zhenping]
通讯作者:
Guo, Zhenping
Adaptive dynamic coordination of damping controllers through deep reinforcement and transfer learning
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批准号:2033910
-
项目类别:Standard Grant
-
资助金额:$21.0万
-
财政年份:2020
-
负责人:Hector Pulgar
-
依托单位:
Strengthening power system dynamic operation with the advent of increased renewable generation: Location and control of fast energy storage systems
-
批准号:1509114
-
项目类别:Standard Grant
-
资助金额:$35.54万
-
财政年份:2015
-
负责人:Hector Pulgar
-
依托单位:
海外基金