Dynamic state estimation for improving observation and resiliency of interconnected power systems
HH Alhelou, N Nagpal, H Nagpal… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article investigates a particle filter (PF)-based fully-decentralised dynamic state
estimation (DSE) method for interconnected multi-machine power systems. The PF-based …
estimation (DSE) method for interconnected multi-machine power systems. The PF-based …
[HTML][HTML] A new robust dynamic state estimation approach for power systems with non-Gaussian noise
The Gaussian noise distribution is typically used in dynamic state estimation (DSE) but it is
not always true in practice because of abnormal system inputs, impulsive noise and …
not always true in practice because of abnormal system inputs, impulsive noise and …
Dynamic state estimation of power systems considering maximum correlation entropy and quadratic function
Uncertainties such as abnormal system inputs, strong model nonlinearities, outliers and
impulsive noise unavoidably exist in the power system dynamic state estimation (SE)(DSE) …
impulsive noise unavoidably exist in the power system dynamic state estimation (SE)(DSE) …
A Meter Placement Strategy for Distribution Grids based on Cost-Benefit Analysis
M Pau, M Ginocchi, D Pacheco… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Distribution system operators are progressively expanding the measurement infrastructure
in their grids to enhance the real-time monitoring capabilities. Meter placement algorithms …
in their grids to enhance the real-time monitoring capabilities. Meter placement algorithms …
A New State Estimation Method for Distribution Network with High Penetrated Renewable Energy Considering Extreme Weather Impact
J Lu, N Yang, S Mou, Z Wang… - … on Power and …, 2023 - ieeexplore.ieee.org
With the high proportion of distributed photovoltaic (PV) connected to the distribution
network, the conventional static state estimation based on data acquisition and monitoring …
network, the conventional static state estimation based on data acquisition and monitoring …