期刊
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
卷 124, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2020.106196
关键词
Static voltage stability assessment; Data-driven; Wide-area monitoring; Spectrum estimation; Phasor measurement units
资金
- National Key R&D Program of China [2018YFF0214704]
This paper proposes a data-driven approach based on moment-based spectrum estimation method for real-time static voltage stability assessment in a stressed modern grid. The method is capable of analyzing cases where the sample size is significantly smaller than the dimensionality of measurement variables in large-scale power systems, providing a recent status with a low computational cost.
Real-time static voltage stability assessment is crucial to a stressed modern grid. This paper, based on the moment-based spectrum estimation method, proposes a data-driven approach to gain insight into changes of voltage magnitudes via synchronous phasor measurement unit (PMU) data, such that proper actions can be taken against voltage collapse. Built upon random matrix theory, an inverse Jacobian related indicator, i.e., spectrum estimation based stability indicator (SESI), is introduced in this paper to track the motion of the system. After considering the relationship between moments and distributions, this method allows for the regime where the sample size is significantly smaller than the dimensionality. It is adaptive to the real-time static voltage stability assessment in large-scale power systems where the sample size in a sliding window is extremely smaller than the dimensionality of measurement variables, hence delivering a recent status with a low computational cost. In this way, the static voltage stability assessment of a power system with massive amounts of measurement variables can be more sensitively and efficiently implemented. Case studies with the IEEE 118-bus system, the IEEE 300bus system, and a Polish 2383-bus system verify the effectiveness of the proposed approach.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据