Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance
Most existing data-driven power system short-term voltage stability assessment (STVSA)
approaches presume class-balanced input data. However, in practical applications, the …
approaches presume class-balanced input data. However, in practical applications, the …
A comprehensive review of high-frequency AC microgrids for distribution systems
Continuous advancements in distributed generation, energy storage, electric vehicles, and
industrial modernization have forced the electrical distribution system to operate efficiently …
industrial modernization have forced the electrical distribution system to operate efficiently …
A systematic review on cascading failures models in renewable power systems with dynamics perspective and protections modeling
Cascading failure in renewable power systems is a hot topic that attracts most researchers
worldwide. This paper discusses the phenomena of blackout and cascading failure in terms …
worldwide. This paper discusses the phenomena of blackout and cascading failure in terms …
Resilience analysis and cascading failure modeling of power systems under extreme temperatures
In this paper, we propose an AC power flow based cascading failure model that explicitly
considers external weather conditions, extreme temperatures in particular, and evaluates …
considers external weather conditions, extreme temperatures in particular, and evaluates …
[HTML][HTML] Fundamental study on the influence of dynamic load and distributed energy resources on power system short-term voltage stability
Abstract The number of Distributed Energy Resources (DER) and dynamic loads is
increasing rapidly in modern power systems. Their aggregated effects on power grid …
increasing rapidly in modern power systems. Their aggregated effects on power grid …
An approach for monitoring and updating the load margin of power systems in dynamic security assessment
The main contribution of this paper is to propose an approach for monitoring and updating
the load margin of power systems related to Saddle-Node Bifurcations (related to voltage …
the load margin of power systems related to Saddle-Node Bifurcations (related to voltage …
Robust representation learning for power system short-term voltage stability assessment under diverse data loss conditions
L Zhu, W Wen, Y Qu, F Shen, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the help of neural network-based representation learning, significant progress has
been recently made in data-driven online dynamic stability assessment (DSA) of complex …
been recently made in data-driven online dynamic stability assessment (DSA) of complex …
Monitoring of the power system load margin based on a machine learning technique
MEC Bento - Electrical Engineering, 2022 - Springer
The voltage stability margin is an important load margin measure used in power system
operating centers to prevent a voltage collapse. However, oscillatory problems that arise …
operating centers to prevent a voltage collapse. However, oscillatory problems that arise …
Low frequency AC transmission upgrades with optimal frequency selection
The advantages of operating selected transmission lines at frequencies other than the
standard 50 or 60 Hz are numerous, encompassing increased power transfer capacity and …
standard 50 or 60 Hz are numerous, encompassing increased power transfer capacity and …
Control of a hybrid shunt FACTS compensator for voltage collapse prevention in interconnected EHV power transmission systems
This article presents the converter topology for a hybrid shunt compensator (HSC) and its
control suitable for an extra-high-voltage (EHV) power transmission system that helps to …
control suitable for an extra-high-voltage (EHV) power transmission system that helps to …