EAPSI:Improving Electric Power Grid Resilience through a Smart-Grid-Enabled Voltage Support Framework

EAPSI：通过智能电网支持的电压支持框架提高电网弹性

• 批准号: 1506268
• 负责人: Hao Jan 'Max' Liu
• 金额: $ 0.51万
• 依托单位: Liu HaoJan
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1506268&HistoricalAwards=false
• 关键词: EAPSI; Improving; Electric; Power; Grid

Large system-wise power outages such as the 2003 Northeast blackout are among the greatest catastrophes in the U.S. Within two days of the 2003 outage, over 50 million people lost power, and this event contributed to at least 11 deaths and cost an estimated $6 billion. According to U.S.-Canada Power System Outage Task Force, inadequate reactive power support is one of the primary causes of voltage collapse leading to a system-wise blackout. The principle objective of this research is to determine the optimal control strategy for reactive power support from distributed power electronics inverters. It contributes to increasing electric power grid system robustness, reliability and stability. Most importantly, it will lay a solid foundation for future advancements with distributed reactive power support framework. This research will be conducted in collaboration with Dr. Kyeon Hur, an expert in the field of smart-grid technology and development, at the Yonsei University Smart Grid Research Lab, Seoul, South Korea.Traditionally, a centralized control scheme can be used to improve voltage profile in a distribution feeder. However, a full knowledge of system states and two-way communications between end-users and the control center are needed. In addition, such scheme has high computational cost and is not prone to communication failures. Under the realm of smart grid technologies, this research aims to develop a voltage measurement based distributed adaptive control scheme motived by alternating direction method of multipliers (ADMM). The proposed control scheme would be able to stabilize the grid voltages under random disturbances such as sudden drop of renewable generations and frequent load variations. Moreover, implementing this control would only require communication between adjacent neighbors, which reduces communication overhead and strengthens the system security. This NSF EAPSI award is funded in collaboration with the National Research Foundation of Korea.

2003年东北部大停电等大型系统停电是美国最大的灾难之一，在2003年停电的两天内，超过5000万人失去了电力，这一事件造成至少11人死亡，估计损失60亿美元。据美国-加拿大电力系统停电特别工作组，无功功率支持不足是电压崩溃导致系统停电的主要原因之一。本研究的主要目的是确定分布式电力电子逆变器的无功功率支持的最佳控制策略。它有助于提高电网系统的鲁棒性、可靠性和稳定性。最重要的是，它将奠定了坚实的基础，为未来的发展与分布式无功功率支持框架。这项研究将与韩国首尔延世大学智能电网研究实验室的智能电网技术和开发领域的专家Kyeon Hur博士合作进行。传统上，集中控制方案可以用于改善配电馈线的电压分布。然而，需要全面了解系统状态以及最终用户和控制中心之间的双向通信。此外，这种方案具有高计算成本，并且不易于通信失败。在智能电网技术领域，本研究的目的是开发一种基于电压测量的分布式自适应控制方案的交替方向乘法器（ADMM）的激励。所提出的控制方案将能够稳定电网电压的随机干扰下，如突然下降的可再生能源发电和频繁的负载变化。此外，实现这种控制将只需要相邻邻居之间的通信，这减少了通信开销并增强了系统安全性。这个NSF EAPSI奖是与韩国国家研究基金会合作资助的。