Large-scale integration of distributed generation into distribution networks: Study objectives, review of models and computational tools
In terms of the improvement of reliability and efficiency, integration of distributed generation
(DG) into distribution network has gained significant interest in recent years. However …
(DG) into distribution network has gained significant interest in recent years. However …
Remote, simulation or traditional engineering teaching laboratory: a systematic literature review of assessment implementations to measure student achievement or …
The laboratory is an integral component of engineering education, resulting in a multitude of
studies. Generally, the research focus is on the laboratory innovation, rather than learning …
studies. Generally, the research focus is on the laboratory innovation, rather than learning …
[PDF][PDF] Minimization of transmission loss in application of HVDC networks under load increase scenario
This study aims to analyze the effect of embedding HVDC (High Voltage Direct Current) on
the voltage stability and power losses of the system. Sequential power flow is used to …
the voltage stability and power losses of the system. Sequential power flow is used to …
Modeling the dynamics of cascading failures in power systems
In this paper, we use a circuit-based power flow model to study the cascading failure
propagation process, and combine it with a stochastic model to describe the uncertain …
propagation process, and combine it with a stochastic model to describe the uncertain …
MatPSST: A Matlab/Simulink‐based power system simulation toolbox for research and education
This paper presents an open‐access Matlab/Simulink‐based power system simulation
toolbox (MatPSST) for research and education. In MatPSST, dynamic modeling is …
toolbox (MatPSST) for research and education. In MatPSST, dynamic modeling is …
Co-simulation training platform for smart grids
Power systems training and education faces serious challenges due to the rising complexity
of energy systems. This paper presents a simulation-based training platform for educating …
of energy systems. This paper presents a simulation-based training platform for educating …
Synchrophasor recovery and prediction: A graph-based deep learning approach
Data integrity of power system states is critical to modern power grid operation and control
due to communication latency, state measurements are not immediately available at the …
due to communication latency, state measurements are not immediately available at the …
Power system transient stability: An algorithm for assessment and enhancement based on catastrophe theory and FACTS devices
It is of crucial importance to obviate power system damage and cascading failures that may
cause a full or partial blackout when the system is exposed to severe contingencies. Flexible …
cause a full or partial blackout when the system is exposed to severe contingencies. Flexible …
STEPS: a portable dynamic simulation toolkit for electrical power system studies
C Li, Y Wu, H Zhang, H Ye, Y Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Numerical simulation is the key technique for large-scale power system analysis.
Redistribution of global renewable power via international interconnections requires new …
Redistribution of global renewable power via international interconnections requires new …
A two-stage strategy for generator rotor angle stability prediction using the adaptive neuro-fuzzy inference system
Generator rotor angle oscillations can be caused by sudden changes in its mechanical
power input or its electrical power output. When dampening or synchronizing torque is …
power input or its electrical power output. When dampening or synchronizing torque is …