A review of data-driven short-term voltage stability assessment of power systems: Concept, principle, and challenges

TL;DR

This paper reviews data-driven methods for assessing short-term voltage stability in power systems, highlighting recent developments, challenges, and the impact of dynamic loads and renewable energy integration.

Contribution

It provides a comprehensive overview of data-driven approaches for STVS, emphasizing current challenges and future research directions in power system stability assessment.

Findings

Data-driven methods are increasingly important for STVS.

Challenges include data quality and real-time processing.

Integration of renewable energy complicates stability assessment.

Abstract

With the rapid growth of power market reform and power demand, the power transmission capacity of a power grid is approaching its limit, and the secure and stable operation of power systems becomes increasingly important. In particular, in modern power grids, the proportion of dynamic loads with fast recovery characteristics such as air conditioners, refrigerators, and industrial motors is increasing. As well as the increasing proportion of different forms of renewable energy in power systems. Therefore, short-term voltage stability (STVS) of power systems cannot be ignored. This article comprehensively sorts out the STVS problems of power systems from the perspective of data-driven methods and discusses existing challenges.