A survey of power system state estimation using multiple data sources: PMUs, SCADA, AMI, and beyond
State estimation (SE) is indispensable for the situational awareness of power systems.
Conventional SE is fed by measurements collected from the supervisory control and data …
Conventional SE is fed by measurements collected from the supervisory control and data …
The challenges of low voltage distribution system state estimation—an application oriented review
Global trends such as the growing share of renewable energy sources in the generation mix,
electrification, e-mobility, and the increasing number of prosumers reshape the electricity …
electrification, e-mobility, and the increasing number of prosumers reshape the electricity …
Application of event-triggered cubature Kalman filter for remote nonlinear state estimation in wireless sensor network
This article proposes a novel filter, which is based on the event-triggered schedule and the
cubature Kalman filter (CKF), to perform the nonlinear remote state estimation in the wireless …
cubature Kalman filter (CKF), to perform the nonlinear remote state estimation in the wireless …
The branch-and-bound algorithm in optimizing mathematical programming models to achieve power grid observability
Phasor Measurement Units (PMUs) are the backbone of smart grids that are able to
measure power system observability in real-time. The deployment of synchronized sensors …
measure power system observability in real-time. The deployment of synchronized sensors …
A survey on hybrid scada/wams state estimation methodologies in electric power transmission systems
O Darmis, G Korres - Energies, 2023 - mdpi.com
State estimation (SE) is an essential tool of energy management systems (EMS), providing
power system operators with an overall grasp of the actual power system operating …
power system operators with an overall grasp of the actual power system operating …
Observability analysis of a power system stochastic dynamic model using a derivative-free approach
Serving as a prerequisite to power system dynamic state estimation, the observability
analysis of a power system dynamic model has recently attracted the attention of many …
analysis of a power system dynamic model has recently attracted the attention of many …
Towards smart energy grids: A box-constrained nonlinear underdetermined model for power system observability using recursive quadratic programming
This paper introduces an underdetermined nonlinear programming model where the
equality constraints are fewer than the design variables defined on a compact set for the …
equality constraints are fewer than the design variables defined on a compact set for the …
Hd-Deep-EM: Deep Expectation Maximization for Dynamic Hidden State Recovery Using Heterogeneous Data
Uncertain power generations and loads are continually integrated into the power system,
causing high risks of dynamic events. To better monitor systems, advanced meters like …
causing high risks of dynamic events. To better monitor systems, advanced meters like …
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 …
A real-time recursion correction hybrid linear state estimator using stream processing
This study intends to improve the accuracy, efficiency, and timeliness of state estimation (SE)
for large-scale electric power systems by presenting a recursion correction hybrid linear …
for large-scale electric power systems by presenting a recursion correction hybrid linear …