… The distributed state estimation methodology introduced in this paper was tested using a …
The distributed state estimator used for the remainder of this paper uses scheme S3 with the …

… robust distributed state estimation framework for very large scale networks. The developed
approach is expected to facilitate real-time monitoring of large complex distribution networks …

… The Parallel and Distributed State Estimation methodology analysed in this paper was
tested and simulated with a PVM 3.1 (Parallel Virtual Machine) software, with program coded in …

… state estimation algorithms for online monitoring and operation of power systems. In this paper
a distributed weighted least square (WLS) state estimation … processed in parallel using a …

… real-time state estimation with increasing complexity, intercon… In this paper, a massively
parallel dynamic state estimator is … parallel framework, a lateral two-level dynamic state estimator …

… powerful state estimation algorithms, the Kalman filter and the particle filter, can be efficiently
implemented in parallel on a multicore architecture. The proposed parallel implementations …

… The Parallel and Distributed State Estimation methodology analysed in this paper was
tested and simulated with a P\rM 3.1 (Parallel Virtual Machine) sofhvare. with program coded in …

… Robustness is achieved by an estimator minimizing the L1 norm of the measurement … it
possible for the state estimators of every zone on every system copy to run in parallel using a …

… distribution systems is a huge barrier to perform DSSE. Moreover, the unbalanced nature of
distribution systems makes estimators … data-driven three-phase state estimator based on an …

… State estimation problem In this section we formulate the distributed state estimation
problem for systems using a sensor network based on the moving horizon estimation (MHE) …