Load modeling—A review
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 …
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
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 …
physical and economic damages has increased rapidly. Among them, false data injection …
A survey on state estimation techniques and challenges in smart distribution systems
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 …
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 …
(RES) integration promote the transition of distribution grids from passive, unidirectional …
A framework for robust hybrid state estimation with unknown measurement noise statistics
In practical applications like power systems, the distribution of the measurement noise is
usually unknown and frequently deviates from the assumed Gaussian model, yielding …
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 …
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
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 …
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 …
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
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 …
systems with missing measurements. N sensors, which possess various sampling rates …
Bad data detection algorithm for PMU based on spectral clustering
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 …
ubiquitous electric of the Internet of Things. However, due to complex factors on site, PMU …