CAREER: Modeling, Analysis, and Control of Low-Inertia Microgrids
职业:低惯量微电网的建模、分析和控制
基本信息
- 批准号:1453921
- 负责人:
- 金额:$ 50万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-03-15 至 2021-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The electrical power system has been widely recognized as one of the most important engineering achievements. High power quality and availability are maintained in the bulk power system mainly by enforcing hierarchical operational practices, central decision making, and redundancy. However, this status quo is being challenged by changing generation, consumption, and operational landscapes. In particular, there is increased emphasis on renewable generation and the impetus to improve resiliency to extenuating weather impacts. The challenge is to develop innovative architectural and operational paradigms. A compelling framework to address these goals is provided by low-inertia microgrids. Low-inertia microgrids are a collection of heterogeneous energy sources with limited mechanical inertia that includes photovoltaic (PV) arrays, fuel cells, and energy-storage devices that are interfaced to an AC electric distribution network. The project seeks to highlight fundamental cross-cutting challenges relevant across different research domains in low-inertia AC electrical systems. Broad transformative impacts will follow from integration of the proposed research with an educational dissemination plan, involvement of undergraduates in research, and outreach to the local community and K-12 students.The project seeks to outline fundamental modeling, analysis, and control challenges in low-inertia microgrids. It seeks to unify circuit- and system-theoretic methods to engineer energy technologies that emphasize increased renewable integration, sustainable capacity expansion, and improved electricity access. The research agenda focuses on the twin objectives of optimally engineering low-inertia microgrids while contributing to the foundational science that links power systems, complex networks, and nonlinear dynamical systems. The research outcomes will facilitate a seamless transition to future power systems that are adaptable to local needs, resilient to extenuating impacts, and distributed in control and operation.
电力系统已被广泛认为是最重要的工程成果之一。在大容量电力系统中,主要通过执行分层操作实践、中央决策和冗余来保持高电力质量和可用性。然而,这种现状正受到不断变化的发电、消费和运营环境的挑战。特别是,人们越来越重视可再生能源发电,并推动提高抵御气候影响的能力。挑战在于开发创新的体系结构和操作范例。低惯性微电网为实现这些目标提供了一个令人信服的框架。低惯性微电网是具有有限机械惯性的异构能源的集合,包括光伏(PV)阵列、燃料电池和与交流配电网络接口的能量存储设备。该项目旨在突出低惯性交流电气系统中不同研究领域相关的基本交叉挑战。将拟议的研究与教育传播计划结合起来,让本科生参与研究,并向当地社区和K-12学生推广,将产生广泛的变革影响。该项目旨在概述低惯性微电网的基本建模、分析和控制挑战。它寻求统一电路和系统理论方法来设计能源技术,强调增加可再生能源的整合,可持续的产能扩张和改善电力接入。研究议程侧重于优化工程低惯性微电网的双重目标,同时为连接电力系统,复杂网络和非线性动力系统的基础科学做出贡献。研究成果将促进向未来电力系统的无缝过渡,该系统可适应当地需求,具有减轻影响的弹性,并在控制和运行中分布。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sairaj Dhople其他文献
Sairaj Dhople的其他文献
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{{ truncateString('Sairaj Dhople', 18)}}的其他基金
Collaborative Research: Electronic Analog & Hybrid Computing for Power & Energy Systems
合作研究:电子模拟
- 批准号:
2305432 - 财政年份:2023
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Workshop: Forging Connections between Machine Learning, Data Science, and Power Systems Research. To be held at the National Science Foundation, March 5-6, 2020 in Alexandria, VA.
研讨会:建立机器学习、数据科学和电力系统研究之间的联系。
- 批准号:
2018828 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
JST-NSF-DFG-RCN Workshop on Data-driven Real-time Control for Distributed Energy Management, Tokyo, Japan, June 11-14, 2017
JST-NSF-DFG-RCN 分布式能源管理数据驱动实时控制研讨会,日本东京,2017 年 6 月 11-14 日
- 批准号:
1739146 - 财政年份:2017
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Virtual Oscillator Control for Microgrids
微电网的虚拟振荡器控制
- 批准号:
1509277 - 财政年份:2015
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Workshop on Control, Computing, and Signal Processing Challenges in Future Power Systems. To be Held in Arlington,VA in November, 2013
未来电力系统中的控制、计算和信号处理挑战研讨会。
- 批准号:
1358182 - 财政年份:2013
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
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