Load modeling—A review

A Arif, Z Wang, J Wang, B Mather… - … on Smart Grid, 2017 - ieeexplore.ieee.org
Load modeling has significant impact on power system studies. This paper presents a
review on load modeling and identification techniques. Load models can be classified into …

Survey of machine learning methods for detecting false data injection attacks in power systems

A Sayghe, Y Hu, I Zografopoulos, XR Liu… - IET Smart …, 2020 - Wiley Online Library
Over the last decade, the number of cyber attacks targeting power systems and causing
physical and economic damages has increased rapidly. Among them, false data injection …

A survey on state estimation techniques and challenges in smart distribution systems

K Dehghanpour, Z Wang, J Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents a review of the literature on state estimation (SE) in power systems.
While covering works related to SE in transmission systems, the main focus of this paper is …

A review on distribution system state estimation algorithms

M Fotopoulou, S Petridis, I Karachalios… - Applied Sciences, 2022 - mdpi.com
The modern energy requirements and the orientation towards Renewable Energy Sources
(RES) integration promote the transition of distribution grids from passive, unidirectional …

A framework for robust hybrid state estimation with unknown measurement noise statistics

J Zhao, L Mili - IEEE Transactions on Industrial Informatics, 2017 - ieeexplore.ieee.org
In practical applications like power systems, the distribution of the measurement noise is
usually unknown and frequently deviates from the assumed Gaussian model, yielding …

A review on distribution system state estimation uncertainty issues using deep learning approaches

Y Raghuvamsi, K Teeparthi - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
This study highlights the research works on different uncertainty issues encountered in
distribution system state estimation (DSSE). The DSSE plays a crucial role since the …

A power system disturbance classification method robust to PMU data quality issues

Z Li, H Liu, J Zhao, T Bi, Q Yang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Data quality issues exist in practical phasor measurement units (PMUs) due to
communication errors or signal interferences. As a result, the performances of existing data …

Unrolled spatiotemporal graph convolutional network for distribution system state estimation and forecasting

H Wu, Z Xu, M Wang - IEEE Transactions on Sustainable …, 2022 - ieeexplore.ieee.org
Timely perception of distribution system states is critical for the control and operation of
power grids. Recently, it has been seriously challenged by the dramatic voltage fluctuations …

A new fusion estimation method for multi-rate multi-sensor systems with missing measurements

M Kordestani, M Dehghani, B Moshiri, M Saif - Ieee Access, 2020 - ieeexplore.ieee.org
A new fusion strategy is introduced in this article to estimate state for multi-rate multi-sensor
systems with missing measurements. N sensors, which possess various sampling rates …

Bad data detection algorithm for PMU based on spectral clustering

Z Yang, H Liu, T Bi, Q Yang - Journal of Modern Power …, 2020 - ieeexplore.ieee.org
Phasor measurement units (PMUs) can provide real-time measurement data to construct the
ubiquitous electric of the Internet of Things. However, due to complex factors on site, PMU …