The impact on the stability of power systems is rising as penetration level renewable energy with sporadic natures rises rapidly grid. However, different types sources (wind, solar) and their combination system varies even same level. This paper concentrates mainly analysis multi-machine connected to various sources. study presents a simple novel control technique named automatic reactive suppo...

Although deep learning has achieved impressive advances in transient stability assessment of power systems, the insufficient and imbalanced samples still trap training effect data-driven methods. This paper proposes a controllable sample generation framework based on Conditional Tabular Generative Adversarial Network (CTGAN) to generate specified samples. To fit complex feature distribution sam...