The continuous electrification of the mobility and heating sector will introduce new challenges to distribution grid operation. Uncoordinated activation of flexible units, e.g. simultaneous charging of electric vehicles as a reaction to price signals, could systematically trigger transformer or line protections. Real-time identification of such fast-ramped flexibility activations would allow taking counteractions to avoid potential social and financial cost. In this work, a novel data processing pipeline for identification of fast-ramped flexibility activation events is proposed. The pipeline combines techniques for unsupervised event detection and open-set classification. The systematic evaluation on real load data demonstrates that main building blocks of the proposed pipeline can be realized with methods that fulfill important requirements for an application in a distributed event detection architecture. For the detection of flexibility activation events an upper performance limit is identified. Moreover, it is demonstrated that application of an open-set classifier for classification of flexibility activation events can improve the performance compared to widely-applied closed-set classifiers.
翻译:流动和取暖部门的持续电气化将对分配网的运行带来新的挑战; 不协调地启动灵活装置,例如同时对电动车辆充电,作为对价格信号的反应,可以系统地触发变压器或线路保护; 实时确定这种快速拉动弹性装置,可以采取抗衡措施,避免潜在的社会和财政成本; 在这项工作中,提出了用于确定快速拉动弹性引爆事件的新型数据处理管道; 管道将未经监督的事件探测和开放分类技术结合起来; 对实际装载数据的系统评估表明,通过满足在分布式事件探测结构中应用重要要求的方法,可以实现拟议管道的主要构件; 为了探测灵活性激活事件,确定了一个最高性能限度; 此外,还表明,采用开放定置的变压器对灵活性激活事件进行分类,可以提高业绩,而采用广泛使用的封闭式变压器。