Load modeling—A review
Load modeling has significant impact on power system studies. This paper presents a
review on load modeling and identification techniques. Load models can be classified into …
review on load modeling and identification techniques. Load models can be classified into …
[HTML][HTML] Existing approaches and trends in uncertainty modelling and probabilistic stability analysis of power systems with renewable generation
The analysis of power systems with a significant share of renewable generation using
probabilistic tools is essential to appropriately consider the impact that the variability and …
probabilistic tools is essential to appropriately consider the impact that the variability and …
A novel equivalent model of active distribution networks based on LSTM
Dynamic behaviors of distribution networks are of great importance for the power system
analysis. Nowadays, due to the integration of the renewable energy generation, energy …
analysis. Nowadays, due to the integration of the renewable energy generation, energy …
Application of phasor measurement unit on locating disturbance source for low-frequency oscillation
J Ma, P Zhang, H Fu, B Bo… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
A smart power grid is an integration of the advanced measurement, communication,
computer, and control techniques. Among all the state-of-the-art technologies in building a …
computer, and control techniques. Among all the state-of-the-art technologies in building a …
Two-stage WECC composite load modeling: A double deep Q-learning networks approach
With the increasing complexity of modern power system, conventional dynamic load
modeling with ZIP and induction motors (ZIP+ IM) is no longer adequate to address the …
modeling with ZIP and induction motors (ZIP+ IM) is no longer adequate to address the …
Load control using sensitivity identification by means of smart transformer
The higher variability introduced by distributed generation leads to fast changes in the
aggregate load composition, and thus in the power response during voltage variations. The …
aggregate load composition, and thus in the power response during voltage variations. The …
Data-driven dynamic models of active distribution networks using unsupervised learning techniques on field measurements
The development of realistic dynamic models for active distribution networks (ADNs) is a
challenging problem faced by both the transmission system operators and academia due to …
challenging problem faced by both the transmission system operators and academia due to …
Analysis of the influence of the current-voltage characteristics of the voltage rectifiers on the static characteristics of hydrogen electrolyzer load
Traditionally, the determination of static load characteristics is one of the main stages in the
preparation of a design model of an electric power system. It is especially important to …
preparation of a design model of an electric power system. It is especially important to …
Real-time dynamic parameter estimation for an exponential dynamic load model
This paper is concerned about real-time modeling and identification of dynamically
changing loads in power systems. An exponential dynamic load model was proposed earlier …
changing loads in power systems. An exponential dynamic load model was proposed earlier …
Dynamic performance modeling and analysis of power grids with high levels of stochastic and power electronic interfaced resources
This article examines the emerging challenges in modeling and analyzing the electric power
system due to the widespread growth of variable renewable energy (VRE), particularly in the …
system due to the widespread growth of variable renewable energy (VRE), particularly in the …