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Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions
Smart grid is the new trend for clean, sustainable, efficient and reliable energy generation,
delivery and use. To ensure stable and secure operation is essential for the smart grid …
delivery and use. To ensure stable and secure operation is essential for the smart grid …
Deep learning in power systems research: A review
With the rapid growth of power systems measurements in terms of size and complexity,
discovering statistical patterns for a large variety of real-world applications such as …
discovering statistical patterns for a large variety of real-world applications such as …
Convolutional neural network-based power system transient stability assessment and instability mode prediction
Online transient stability assessment (TSA) is vital for power system control as it provides the
basis for operators to decide emergency control actions. But none of previous TSA research …
basis for operators to decide emergency control actions. But none of previous TSA research …
Integrating model-driven and data-driven methods for power system frequency stability assessment and control
With increase of practical power system complexity, power system online stability
assessment and control is more and more important. Application of the traditional model …
assessment and control is more and more important. Application of the traditional model …
Improved deep belief network and model interpretation method for power system transient stability assessment
S Wu, L Zheng, W Hu, R Yu… - Journal of Modern Power …, 2019 - ieeexplore.ieee.org
The real-time transient stability assessment (TSA) and emergency control are effective
measures to suppress accident expansion, prevent system instability, and avoid large-scale …
measures to suppress accident expansion, prevent system instability, and avoid large-scale …
Quantum computing in power systems
Electric power systems provide the backbone of modern industrial societies. Enabling
scalable grid analytics is the keystone to successfully operating large transmission and …
scalable grid analytics is the keystone to successfully operating large transmission and …
AI-oriented smart power system transient stability: the rationality, applications, challenges and future opportunities
Nowadays, the power grid has become an active colossal resource generation and
management system due to the wide use of renewable energy and dynamic workloads …
management system due to the wide use of renewable energy and dynamic workloads …
Noise-resilient quantum machine learning for stability assessment of power systems
Transient stability assessment (TSA) is a cornerstone for resilient operations of today's
interconnected power grids. This paper is a confluence of quantum computing, data science …
interconnected power grids. This paper is a confluence of quantum computing, data science …
Artificial intelligence techniques for power system transient stability assessment
The high penetration of renewable energy sources, coupled with decommissioning of
conventional power plants, leads to the reduction of power system inertia. This has negative …
conventional power plants, leads to the reduction of power system inertia. This has negative …
A review on artificial intelligence for grid stability assessment
Artificial intelligence provides a convenient route for power grid stability assessment.
Compared with simulation-based approaches, artificial intelligence can potentially save time …
Compared with simulation-based approaches, artificial intelligence can potentially save time …