Real-time grid monitoring and protection: A comprehensive survey on the advantages of phasor measurement units

C Biswal, BK Sahu, M Mishra, PK Rout - Energies, 2023‏ - mdpi.com
The emerging smart-grid and microgrid concept implementation into the conventional power
system brings complexity due to the incorporation of various renewable energy sources and …

Optimal PMU placement to enhance observability in transmission networks using ILP and degree of centrality

MM Ahmed, M Amjad, MA Qureshi, MO Khan… - Energies, 2024‏ - mdpi.com
The optimal PMU placement problem is placing the minimum number of PMUs in the
network to ensure complete network observability. It is an NP-complete optimization …

A Deep Learning Approach for In-Network Synchrophasor Missing Data Recovery Using Programmable Network Switches

X Guo, Y Qu, G Chen, D ** - 2024 IEEE International …, 2024‏ - ieeexplore.ieee.org
Phasor measurement unit (PMU) networks deliver accurate and timely measurements,
which is essential for managing today's electric power systems. To ensure data quality and …

An in-network approach for PMU missing data recovery with data plane programmability

J Norris - 2024‏ - scholarworks.uark.edu
Phasor measurement unit (PMU) systems often experience unavoidable missing and
erroneous measurements, which undermine power system observability and operational …

Artificial Intelligence in Operation of Digitalized Energy Systems: Missing Data Imputation in the Modern Power System

F Boronuosi, S Azad - Artificial Intelligence in the Operation and Control of …, 2024‏ - Springer
Integrating renewable energy sources into the power grid presents complex challenges that
require advanced operation and control in modern power systems. Phasor measurement …

Improving Frequency Stability Assessment through K-Nearest Neighbors and Machine Learning Techniques

BE Baningobera, I Oleinikova - 2023 IEEE PES Innovative …, 2023‏ - ieeexplore.ieee.org
This paper proposes a method that can effectively impute the missing measurement values
in order to address the issue of missing data using a combination of machine learning and …

Dynamic Security Assessment of Power Systems Using a Deep Learning and Gain-Based Approach for Addressing Missing Data

F Boronuosi, MR Shadi, S Azad - … of Power Systems Using a Deep …‏ - papers.ssrn.com
The growth of artificial intelligence tools has sparked a surge in research attention toward
the field of data-driven power system dynamic security assessment (DSA). However …