论文标题

惯性估计和预测在低惯性电力系统中的挑战和机遇

Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems

论文作者

Heylen, Evelyn, Strbac, Goran, Teng, Fei

论文摘要

准确的惯性估计和预测对于支持将来的低惯性功率系统中的系统操作至关重要。提供了有关惯性估计方法的大量文献。本文旨在提供惯性估计方法的概述和分类。该分类考虑了该方法的时间范围,即,即离线验尸,在线实时和预测方法,以及惯性估计的范围,例如系统范围内,范围范围,区域,生成,需求,需求,个人资源。已经确定了现有的惯性估计方法的缺点,并提出了未来工作的建议。

Accurate inertia estimates and forecasts are crucial to support the system operation in future low-inertia power systems. A large literature on inertia estimation methods is available. This paper aims to provide an overview and classification of inertia estimation methods. The classification considers the time horizon the methods are applicable to, i.e., offline post mortem, online real time and forecasting methods, and the scope of the inertia estimation, e.g., system-wide, regional, generation, demand, individual resource. Shortcomings of the existing inertia estimation methods have been identified and suggestions for future work have been made.

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