摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者从巴西圣卡洛斯发回的消息，研究人员称，“鉴于基于verter的资源(IBR)日益渗透，以及这些发电机对现有FAU LT定位功能的影响，本文探讨了机器学习(ML)在设计适用于IBRs系统的单端故障定位器方面的潜力。PSCAD软件对具有广泛使用的IBR互连至输电电网拓扑的系统进行建模，考虑了互连线路上具有不同故障参数的故障场景，以及不同的IBR控制/拓扑、电网短路电平和信号噪声电平。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Sao Carlos, Brazil, by NewsRx correspondents, research stated, “Given the increasing penetration of In verter-Based Resources (IBR) and the impacts of these generators on existing fau lt location functions, this paper explores the potential of Machine Learning (ML ) for designing one -terminal fault locators applied to systems with IBRs. For t he studies, a system with a widely used topology for IBR interconnection to a tr ansmission grid is modeled in PSCAD software, considering fault scenarios on the interconnection line with varying fault parameters, in addition to different IB R controls/topologies, grid short-circuit levels and signal noise levels.”
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