当前位置:
X-MOL 学术
›
arXiv.cs.SY
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Data-Driven Democratized Control Architecture for Regional Transmission Operators
arXiv - CS - Systems and Control Pub Date : 2021-09-20 , DOI: arxiv-2109.09813 Xiaoyuan Fan, Daniel Moscovitz, Liang Du, Walid Saad
arXiv - CS - Systems and Control Pub Date : 2021-09-20 , DOI: arxiv-2109.09813 Xiaoyuan Fan, Daniel Moscovitz, Liang Du, Walid Saad
As probably the most complicated and critical infrastructure system, U.S.
power grids become increasingly vulnerable to extreme events such as
cyber-attacks and severe weather, as well as higher DER penetrations and
growing information mismatch among system operators, utilities (transmission or
generation owners), and end-users. This paper proposes a data-driven
democratized control architecture considering two democratization pathways to
assist transmission system operators, with a targeted use case of developing
online proactive islanding strategies. Detailed discussions on load capability
profiling at transmission buses and disaggregation of DER generations are
provided and illustrated with real-world utility data. By Combining network and
operational constraints, transmission system operators can be equipped with new
tools built on top of this architecture, to derive accurate, proactive, and
strategic islanding decisions to incorporate the wide range of dynamic
portfolios and needs when facing extreme events or unseen grid contingencies.
中文翻译:
面向区域传输运营商的数据驱动的民主化控制架构
作为可能是最复杂和最关键的基础设施系统,美国电网越来越容易受到网络攻击和恶劣天气等极端事件的影响,以及系统运营商、公用事业公司(输电或发电所有者)之间更高的分布式能源渗透率和日益严重的信息不匹配,和最终用户。本文提出了一种数据驱动的民主化控制架构,该架构考虑了两种民主化途径来协助输电系统运营商,其目标用例是开发在线主动孤岛策略。提供了关于传输总线负载能力分析和分布式能源发电分解的详细讨论,并用真实世界的公用事业数据进行了说明。通过结合网络和运营限制,
更新日期:2021-09-22
中文翻译:
面向区域传输运营商的数据驱动的民主化控制架构
作为可能是最复杂和最关键的基础设施系统,美国电网越来越容易受到网络攻击和恶劣天气等极端事件的影响,以及系统运营商、公用事业公司(输电或发电所有者)之间更高的分布式能源渗透率和日益严重的信息不匹配,和最终用户。本文提出了一种数据驱动的民主化控制架构,该架构考虑了两种民主化途径来协助输电系统运营商,其目标用例是开发在线主动孤岛策略。提供了关于传输总线负载能力分析和分布式能源发电分解的详细讨论,并用真实世界的公用事业数据进行了说明。通过结合网络和运营限制,