Calibrating parameters of power system stability models using advanced ensemble Kalman filter

R Huang, R Diao, Y Li… - … on Power Systems, 2017 - ieeexplore.ieee.org
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 …

Parameter calibration of wind farm with error tracing technique and correlated parameter identification

P Wang, Z Zhang, T Ma, Q Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

A deep learning-based framework for parameters calibration of power plant models using event playback approach

M Matar, B Xu, R Elmoudi, O Olatujoye… - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

PMU based problematic parameter identification approach for calibrating generating unit models

P Wang, Z Zhang, Q Huang, W Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Identifiability analysis for power plant parameter calibration in the presence of collinear parameters

E Acilan, M Gol - IEEE Transactions on Power Systems, 2021 - ieeexplore.ieee.org
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 …

An Open-Source Library of Phasor Measurement Unit Data Capturing Real Bulk Power Systems Behavior

S Biswas, J Follum, P Etingov, X Fan, T Yin - IEEE Access, 2023 - ieeexplore.ieee.org
This paper describes an open-source library of transmission-level synchrophasor
measurements, curated with the aim of accelerating data-driven research and development …

A DRL-aided multi-layer stability model calibration platform considering multiple events

S Wang, R Diao, T Lan, Z Wang, D Shi… - 2020 IEEE Power & …, 2020 - ieeexplore.ieee.org
Maintaining accurate stability models for power system planning and operational analysis is
of great importance. Calibrating problematic parameters using PMU measurements that …

[HTML][HTML] Handling initial conditions in vector fitting for real time modeling of power system dynamics

T Bradde, S Chevalier, M De Stefano, S Grivet-Talocia… - Energies, 2021 - mdpi.com
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 …

Deep learning for model parameter calibration in power systems

S Wshah, R Shadid, Y Wu, M Matar… - … conference on power …, 2020 - ieeexplore.ieee.org
In power systems, having accurate device models is crucial for grid reliability, availability,
and resiliency. Existing model calibration methods based on mathematical approaches often …

Online tracking of sub-transient generator model variables using dynamic phasor measurements

P Marchi, F Messina, LR Vega, CG Galarza - Electric Power Systems …, 2020 - Elsevier
In this article, we present a new formulation of the existing synchronous generator models
based on phasor measurement data. The proposed sub-transient model allows to estimate …