Calibrating parameters of power system stability models using advanced ensemble Kalman filter
With the ever increasing penetration of renewable energy, smart loads, energy storage, and
new market behavior, today's power grid becomes more dynamic and stochastic, which may …
new market behavior, today's power grid becomes more dynamic and stochastic, which may …
Parameter calibration of wind farm with error tracing technique and correlated parameter identification
With the increasing penetrations of wind power in power systems, periodical calibration of
the large-scale Wind Farm (WF) model is crucial to maintaining high-quality model …
the large-scale Wind Farm (WF) model is crucial to maintaining high-quality model …
A deep learning-based framework for parameters calibration of power plant models using event playback approach
Accurate and reliable calibration of power plant models in the power system is crucial for
maintaining grid stability and preventing power outages. This becomes even more crucial as …
maintaining grid stability and preventing power outages. This becomes even more crucial as …
PMU based problematic parameter identification approach for calibrating generating unit models
Accurate model of generating unit plays a key role in power system modeling and
simulation. To ensure the safe and stable operation of power grids, North American Electric …
simulation. To ensure the safe and stable operation of power grids, North American Electric …
Identifiability analysis for power plant parameter calibration in the presence of collinear parameters
A good quality stability model is a key factor for accurate power system operations.
Inaccurate parameters of the stability models affect the decision making which paves the …
Inaccurate parameters of the stability models affect the decision making which paves the …
An Open-Source Library of Phasor Measurement Unit Data Capturing Real Bulk Power Systems Behavior
This paper describes an open-source library of transmission-level synchrophasor
measurements, curated with the aim of accelerating data-driven research and development …
measurements, curated with the aim of accelerating data-driven research and development …
Inverter Model Validation and Calibration Using Phasor Measurement Unit Data
As the penetration of inverter-based renewable energy resources increases in the power
grid, especially at the distribution and microgrid levels, the need to accurately represent …
grid, especially at the distribution and microgrid levels, the need to accurately represent …
A DRL-aided multi-layer stability model calibration platform considering multiple events
Maintaining accurate stability models for power system planning and operational analysis is
of great importance. Calibrating problematic parameters using PMU measurements that …
of great importance. Calibrating problematic parameters using PMU measurements that …
Handling initial conditions in vector fitting for real time modeling of power system dynamics
This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting
(RTVF), which is capable of approximating the real-time linearized dynamics of multi-input …
(RTVF), which is capable of approximating the real-time linearized dynamics of multi-input …
Deep learning for model parameter calibration in power systems
In power systems, having accurate device models is crucial for grid reliability, availability,
and resiliency. Existing model calibration methods based on mathematical approaches often …
and resiliency. Existing model calibration methods based on mathematical approaches often …