The high penetration of renewable energy will substantially change the power system
operation. Traditionally, the annual operation of a power system can be represented by …

Diverse fault types, fast reclosures, and complicated transient states after a fault event make
real-time fault location in power grids challenging. Existing localization techniques in this …

The underlying theme of this paper is to explore the various facets of power systems data
through the lens of graph signal processing (GSP), laying down the foundations of the Grid …

Accurate event identification is an essential part of situation awareness ability for power
system operators. Therefore, this work proposes an integrated event identification algorithm …

Automatic generation control (AGC) is paramount in maintaining the stability and operation
of power grids. Its dependence on communication systems makes it vulnerable to various …

Online power system event identification and classification are crucial to enhancing the
reliability of transmission systems. In this paper, we develop a deep neural network (DNN) …

With the increase of wind and solar power plants connected to the grid, frequency stability
has become a concern for transmission system operators. The large penetration of these …

This article studies robust event classification using imperfect real-world phasor
measurement unit (PMU) data. By analyzing the real-world PMU data, we find that it is …

Recently, Large Language Model based Autonomous System (LLMAS) has gained great
popularity for its potential to simulate complicated behaviors of human societies. One of its …

The increasing uncertainty of distributed energy resources promotes the risks of transient
events for power systems. To capture event dynamics, Phasor Measurement Unit (PMU) …