Transient Stability of Power Systems: A Unified Approach to Assessment and Control
By M. Pavella, Damien Ernst, D. Ruiz-Vega. 2000
440 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/75025967ea3b8f8ea35756e2754ce2cc7ddcaa88
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Citations in the corpus
- Adaptive Power System Emergency Control Using Deep Reinforcement Learning (2019, background): “where ω and δ are the average generator speed and angle defined in [33], u denotes the control action (u = 0 when the brake is switched off and u = 1 when it is switched on) and c is a penalty factor for penalizing the brake action.”
- Intelligent Time-Adaptive Transient Stability Assessment System (2016, background): “While accurate assessments can be achieved by these methods, their high computational complexities prevent them from being employed in practical post-contingency TSA.”
- Support Vector Machine-Based Algorithm for Post-Fault Transient Stability Status Prediction Using Synchronized Measurements (2011, background): “Since the transient stability is a very fast phenomenon that demands a corrective action within short period of time [10], fast detection of instability is essential.”