A photovoltaics-aided interlaced extended Kalman filter for distribution systems state estimation
Distribution system state estimation (DSSE) is essential for smart grid monitoring and
control. Bus voltage phasors and, consequently, DSSE uncertainty can be significantly …
control. Bus voltage phasors and, consequently, DSSE uncertainty can be significantly …
Distribution system state estimation using PV separation strategy in LV feeders with high levels of unmonitored PV generation
A Mokaribolhassan, G Nourbakhsh… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Distribution system state estimation (DSSE) is a critical analysis tool for active distribution
networks (DNs). Unlike weighted least squares techniques, which are static DSSE methods …
networks (DNs). Unlike weighted least squares techniques, which are static DSSE methods …
A distribution system state estimator based on an extended kalman filter enhanced with a prior evaluation of power injections at unmonitored buses
In the context of smart grids, Distribution Systems State Estimation (DSSE) is notoriously
problematic because of the scarcity of available measurement points and the lack of real …
problematic because of the scarcity of available measurement points and the lack of real …
Variational Bayesian Unscented Kalman Filter for Active Distribution System State Estimation
Real-time monitoring and control of distribution networks relies on a robust distribution
system state estimation (DSSE). The use of pseudo measurements, typical for DSSE, may …
system state estimation (DSSE). The use of pseudo measurements, typical for DSSE, may …
State estimation in power distribution systems based on ensemble Kalman filtering
C Carquex, C Rosenberg… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, a past-aware state estimation (PASE) method (for static state estimation) is
proposed for power distribution systems, which takes previous estimates into account to …
proposed for power distribution systems, which takes previous estimates into account to …
Dynamic state estimation for distribution networks with renewable energy integration
PH Nguyen, GK Venayagamoorthy… - … Journal of Smart Grid …, 2013 - research.tue.nl
The massive integration of variable and unpredictable Renewable Energy Sources (RES)
and new types of load consumptions increases the dynamic and uncertain nature of the …
and new types of load consumptions increases the dynamic and uncertain nature of the …
Measurement sensitivity and estimation error in distribution system state estimation using augmented complex Kalman filter
Distribution state estimation (DSE) is an essential part of an active distribution network with
high level of distributed energy resources. The challenges of accurate DSE with limited …
high level of distributed energy resources. The challenges of accurate DSE with limited …
Square-root cubature Kalman filter based power system dynamic state estimation
The state estimator's real-time state information plays a vital role in monitoring and control of
the power system. As a result, one of the primary requirements of the estimator is to provide …
the power system. As a result, one of the primary requirements of the estimator is to provide …
Performance comparison of static and dynamic state estimators for electric distribution systems
State estimation is an integral component of energy management systems used for the
monitoring and control of operation of transmission networks worldwide. However, it has so …
monitoring and control of operation of transmission networks worldwide. However, it has so …
Dynamic state estimation based on unscented Kalman filter and very short-term load and distributed generation forecasting
This paper proposes an unscented Kalman filter (UKF) based dynamic state estimation
(DSE) method for distribution systems by incorporating very short-term load and distributed …
(DSE) method for distribution systems by incorporating very short-term load and distributed …