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Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness
IEEE Signal Processing Magazine ( IF 9.4 ) Pub Date : 6-28-2022 , DOI: 10.1109/msp.2022.3163870
Tülay Adali 1 , Furkan Kantar 1 , M A B Siddique Akhonda 1 , Stephen Strother 2 , Vince D Calhoun 3 , Evrim Acar 4
Affiliation  

With increasing installation of wind and solar generation, conventional synchronous generators in power systems are gradually displaced resulting in a significant reduction in system inertia. Maintaining system frequency and rate-of-change-of-frequency (RoCoF) within acceptable ranges becomes more critical for the stability of a power system. This paper first discusses the impact of inter-area oscillations on the system rate-of-change-of-frequency (RoCoF) security; then, the limitations on locational RoCoF accounting for $\mathrm{G} - {1}$ contingency stability are derived. To capture highest locational RoCoF during the oscillation, multiple measurement windows are introduced. By enforcing these frequency related constraints, a location based RoCoF constrained security constrained unit commitment (LRC-SCUC) model is proposed. Furthermore, an effective piecewise linearization (PWL) technique is employed to formulate a RoCoF linearization problem and linearize the nonlinear function representing the location based RoCoF constraints in SCUC. Case studies are carried on IEEE 24-bus system to demonstrate the effectiveness of proposed LRC-SCUC model. The results also show that deploying virtual inertia techniques not only reduces the total cost, but also improves the system market efficiency.

中文翻译:


矩阵和张量分解的再现性:关注模型匹配、可解释性和唯一性



随着风能和太阳能发电安装量的增加,电力系统中传统的同步发电机逐渐被取代,导致系统惯量显着降低。将系统频率和频率变化率 (RoCoF) 保持在可接受的范围内对于电力系统的稳定性变得更加重要。本文首先讨论了区域间振荡对系统频率变化率(RoCoF)安全性的影响;然后,推导出考虑 $\mathrm{G} - {1}$ 意外稳定性的位置 RoCoF 的限制。为了在振荡期间捕获最高位置 RoCoF,引入了多个测量窗口。通过执行这些与频率相关的约束,提出了一种基于位置的 RoCoF 约束安全约束单元承诺 (LRC-SCUC) 模型。此外,采用有效的分段线性化(PWL)技术来制定 RoCoF 线性化问题,并对表示 SCUC 中基于位置的 RoCoF 约束的非线性函数进行线性化。在 IEEE 24 总线系统上进行了案例研究,证明了所提出的 LRC-SCUC 模型的有效性。结果还表明,部署虚拟惯性技术不仅降低了总成本,而且提高了系统市场效率。
更新日期:2024-08-28
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