Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions

Z Shi, W Yao, Z Li, L Zeng, Y Zhao, R Zhang, Y Tang… - Applied Energy, 2020 - Elsevier
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 …

Deep learning in power systems research: A review

M Khodayar, G Liu, J Wang… - CSEE Journal of Power …, 2020 - ieeexplore.ieee.org
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 …

Convolutional neural network-based power system transient stability assessment and instability mode prediction

Z Shi, W Yao, L Zeng, J Wen, J Fang, X Ai, J Wen - Applied Energy, 2020 - Elsevier
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 …

Integrating model-driven and data-driven methods for power system frequency stability assessment and control

Q Wang, F Li, Y Tang, Y Xu - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
With increase of practical power system complexity, power system online stability
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 …

Quantum computing in power systems

Y Zhou, Z Tang, N Nikmehr, P Babahajiani, F Feng… - IEnergy, 2022 - ieeexplore.ieee.org
Electric power systems provide the backbone of modern industrial societies. Enabling
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

W Guo, NMF Qureshi, MA Jarwar, J Kim… - … Energy Technologies and …, 2023 - Elsevier
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 …

Noise-resilient quantum machine learning for stability assessment of power systems

Y Zhou, P Zhang - IEEE Transactions on Power Systems, 2022 - ieeexplore.ieee.org
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 …

Artificial intelligence techniques for power system transient stability assessment

P Sarajcev, A Kunac, G Petrovic, M Despalatovic - Energies, 2022 - mdpi.com
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 …

A review on artificial intelligence for grid stability assessment

S You, Y Zhao, M Mandich, Y Cui, H Li… - … for Smart Grids …, 2020 - ieeexplore.ieee.org
Artificial intelligence provides a convenient route for power grid stability assessment.
Compared with simulation-based approaches, artificial intelligence can potentially save time …