Exact modeling of non-Gaussian measurement uncertainty in distribution system state estimation
M Vanin, T Van Acker, R D'hulst… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In power systems, state estimation (SE) is a widely investigated method to collate field
measurements and power flow (PF) equations to derive the most-likely state of the observed …
measurements and power flow (PF) equations to derive the most-likely state of the observed …
A distributed robust system-wide state estimation method for power systems based on maximum correntropy
The distribution of measurement noise applied in practical power system state estimation
(PSSE) can deviate from the assumed Gaussian model, and the performance of an estimator …
(PSSE) can deviate from the assumed Gaussian model, and the performance of an estimator …
A distributed multi-area power system state estimation method based on generalized loss function
For power system state estimation, the measurement noise is usually assumed to follow the
Gaussian distribution, and the widely used estimator is the weighted least squares (WLS) …
Gaussian distribution, and the widely used estimator is the weighted least squares (WLS) …
Revisiting the Optimal PMU Placement Problem in Multi-Machine Power Networks
To provide real-time visibility of physics-based states, phasor measurement units (PMUs)
are deployed throughout power networks. PMU data enable real-time grid monitoring and …
are deployed throughout power networks. PMU data enable real-time grid monitoring and …
A Robust Distributed State Estimation of AC/DC system with LCC-HVDC Tie Line
H Zhang, H Qi, S Wang - IEEE Access, 2023 - ieeexplore.ieee.org
A robust distributed state estimation algorithm for AC/DC system with AC tie lines and high
voltage direct current (LCC-HVDC) tie lines is proposed. The proposed algorithm consists of …
voltage direct current (LCC-HVDC) tie lines is proposed. The proposed algorithm consists of …