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.

自成立以来，美国的电网正处于其最根本的转型之中。由于需要减少排放的需求，电发电组合从传统的燃料来源中漂移到具有非常不同特征的新可再生能源。但是，除非人们设计适当的机制来克服与高水平的可再生渗透相关的技术挑战，否则将无法以有效和可靠的方式将可再生资源整合到现有网格中。阻碍高水平的可再生渗透率的主要挑战包括（a）可再生能源引起的动态降解增加，（b）能源生产水平的不确定性和间歇性，以及（c）激励措施不一致，这些激励措施排除了可再生能源的能源，以更加机密的方式来表现出更加机密的机友。为了应对这些挑战，该职业建议旨在开发新一代的分散控制器，分布式算法和市场设计，这些算法可以解锁当今的网格僵化，捕获快速时间尺度行动在运营成本中的价值，并允许无缝集成可再生。这是通过关注两个主要目标来实现的。第一个目标旨在开发分析和设计工具，以允许（i）具有健壮性保证的（i）分散算法的系统设计，（ii）动态感知的分布式优化算法，可以执行实时优化，而无需引入系统范围的不稳定性，并且（iii）多电脑市场可以集成操作和控制设备和控制。第二个目标是利用开发的工具在设计新的控制功能的设计中，旨在提高电网灵活性。该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）电压塌陷稳定（VCS）。该项目还包含一项综合的教育和宣传计划，其中包括（a）开发有关网络动力学系统的新课程，（b）探索高风险的高奖励主题，（c）妇女和少数民族在准备演示和测试床上的培训和（d）K-12和社区统计范围内的教育中心的宣传和社区奖励的培训中，认为值得通过基金会的智力优点和更广泛影响的评论标准来评估值得支持。