The new trend of state estimation: From model-driven to hybrid-driven methods
State estimation is widely used in various automated systems, including IoT systems,
unmanned systems, robots, etc. In traditional state estimation, measurement data are …
unmanned systems, robots, etc. In traditional state estimation, measurement data are …
Research trends and applications of PMUs
This work is a survey of current trends in applications of PMUs. PMUs have the potential to
solve major problems in the areas of power system estimation, protection, and stability. A …
solve major problems in the areas of power system estimation, protection, and stability. A …
Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods
Power system state estimation is being faced with different types of anomalies. These might
include bad data caused by gross measurement errors or communication system failures …
include bad data caused by gross measurement errors or communication system failures …
Assessment on power systems non-deterministic state estimation algorithms
I Lopez-Ramirez, JE Rodriguez-Seco… - Electric Power Systems …, 2023 - Elsevier
Power systems are operated in a deterministic way. However, the increase in uncertainties
(caused by measurement and communication errors or the absence of complete knowledge …
(caused by measurement and communication errors or the absence of complete knowledge …
Power system anomaly detection and classification utilizing WLS-EKF state estimation and machine learning
Power system state estimation is being faced with different types of anomalies. These might
include bad data caused by gross measurement errors or communication system failures …
include bad data caused by gross measurement errors or communication system failures …
Deep Neural Network-Based State Estimator for Transmission System Considering Practical Implementation Challenges
As the phasor measurement unit (PMU) placement problem involves a cost-benefit trade-off,
more PMUs get placed on the higher voltage buses. However, this causes many of the lower …
more PMUs get placed on the higher voltage buses. However, this causes many of the lower …
State estimation in partially observable power systems via graph signal processing tools
L Dabush, A Kroizer, T Routtenberg - Sensors, 2023 - mdpi.com
This paper considers the problem of estimating the states in an unobservable power system,
where the number of measurements is not sufficiently large for conventional state estimation …
where the number of measurements is not sufficiently large for conventional state estimation …
A deep learning approach to anomaly sequence detection for high-resolution monitoring of power systems
A deep learning approach is proposed to detect data and system anomalies using high-
resolution continuous point-on-wave (CPOW) or phasor measurements. Both the anomaly …
resolution continuous point-on-wave (CPOW) or phasor measurements. Both the anomaly …
Universal data anomaly detection via inverse generative adversary network
The problem of detecting data anomaly under unknown probability distributions is
considered. Whereas the probability distribution of the anomaly-free data is unknown …
considered. Whereas the probability distribution of the anomaly-free data is unknown …
State estimation in unobservable power systems via graph signal processing tools
L Dabush, A Kroizer, T Routtenberg - arXiv preprint arXiv:2106.02254, 2021 - arxiv.org
We consider the problem of estimating the states in an unobservable power system. To this
end, we propose novel graph signal processing (GSP) methods. For simplicity, we start with …
end, we propose novel graph signal processing (GSP) methods. For simplicity, we start with …