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CAREER: Control, Optimization, and Market Design for Efficient and Reliable Integration of Renewable Energy Sources in Electric Power Systems

职业：电力系统中可再生能源高效可靠集成的控制、优化和市场设计

基本信息

批准号：
1752362
负责人：
Enrique Mallada
金额：
$ 50万
依托单位：
Johns Hopkins University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-03-15 至 2024-02-29
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1752362&HistoricalAwards=false
关键词：
CAREER Control Optimization Market Design

项目摘要

The U.S. power grid is in the midst of its most fundamental transformation since its inception. Spurred by the need to reduce emissions, the electric generation mix is drifting away from traditional fuel-based sources, towards new renewable sources with very different characteristics. However, integrating renewable sources into the existing grid in an efficient and reliable manner will not be possible unless one devises appropriate mechanisms to overcome the technical challenges associated with high levels of renewable penetration. The main challenges that hinder high levels of renewable penetration include (a) the increased dynamic degradation induced by renewable sources, (b) the uncertainty and intermittency in energy production levels, and (c) the incentives misalignment that preclude renewable energy sources to behave in a more grid-friendly manner. To address these challenges this CAREER proposal aims to develop a new generation of decentralized controllers, distributed algorithms, and market designs that can unlock today's grid rigidity, capture the value of fast timescale actions in operational costs, and allow a seamless integration of renewables. This is achieved by focusing on two main goals. The first goal aims to develop analysis and design tools that allow the systematic design of (i) decentralized algorithms with robustness guarantees, (ii) dynamics-aware distributed optimization algorithms that can perform real-time optimization without introducing system-wide instabilities, and (iii) multi-timescale markets that integrate operations and controls. The second goal is to leverage the developed tools in the design of new control features that are aimed at boosting the grid flexibility. The three new applications proposed in this project are: (a) Dynamic Droop Control (iDroop), (b) Real-time Congestion Management (RCM), and (c) Voltage Collapse Stabilization (VCS). The project also contains an integrated educational and outreach plan that includes (a) development of a new course on networked dynamical systems, (b) undergraduate research that explores high-risk high-reward topics, (c) involvement of women and ethnic minorities in the preparation of demonstrations and testbeds, and (d) K-12 and community outreach through the Johns Hopkins Center for Educational Outreach.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.

美国电网正处于自成立以来最根本的变革之中。在减少排放需求的推动下，发电组合正在从传统的燃料来源转向具有非常不同特征的新型可再生能源。然而，除非设计出适当的机制来克服与高水平可再生能源渗透有关的技术挑战，否则不可能以有效和可靠的方式将可再生能源纳入现有电网。阻碍可再生能源高水平渗透的主要挑战包括：(a)可再生能源引起的动态退化加剧，(b)能源生产水平的不确定性和间歇性，以及(c)阻碍可再生能源以更友好的方式运行的激励机制失调。为了应对这些挑战，CAREER提案旨在开发新一代分散控制器、分布式算法和市场设计，以解决当今电网的刚性问题，在运营成本中捕捉快速时间尺度行动的价值，并允许可再生能源的无缝整合。这是通过关注两个主要目标来实现的。第一个目标是开发分析和设计工具，允许系统地设计(i)具有鲁棒性保证的分散算法，（ii）动态感知分布式优化算法，可以在不引入系统范围的不稳定性的情况下执行实时优化，以及（iii）集成操作和控制的多时间尺度市场。第二个目标是在设计旨在提高网格灵活性的新控制特性时利用已开发的工具。本项目提出的三个新应用是：(a)动态下垂控制（iDroop）， (b)实时拥塞管理（RCM）和(c)电压崩溃稳定（VCS）。该项目还包含一项综合教育和推广计划，其中包括(a)开发一门关于网络动力系统的新课程，(b)探索高风险高回报主题的本科生研究，(c)妇女和少数民族参与准备演示和测试平台，以及(d)通过约翰霍普金斯大学教育推广中心进行K-12和社区推广。该奖项反映了美国国家科学基金会的法定使命，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。