Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Runjia Sun"'
Publikováno v:
Symmetry, Vol 16, Iss 10, p 1355 (2024)
A rapid dynamic security assessment (DSA) is crucial for online preventive and restoration decision-making. The deep learning-based DSA models have high efficiency and accuracy. However, the complex model structure and high training cost make them ha
Externí odkaz:
https://doaj.org/article/d49f7d923b034328a2626b66768812f6
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Load restoration coordinating transmission grid, distribution grid, and microgrids is an effective measure that is taken into consideration while improving the power system resilience in extreme weather conditions. An online decision-making method is
Externí odkaz:
https://doaj.org/article/a269e61235844d67b948fcaa9da6c426
Publikováno v:
2022 7th International Conference on Power and Renewable Energy (ICPRE).
Publikováno v:
International Journal of Electrical Power & Energy Systems. 148:108959
Autor:
Runjia Sun, Yutian Liu
Publikováno v:
IEEE transactions on neural networks and learning systems.
Transmission network self-healing considering uncertain wind power becomes crucial with increasing penetration of wind power. A hybrid reinforcement learning (HRL) method combining offline self-learning with online Monte Carlo tree search (MCTS) is d
Publikováno v:
2021 IEEE Sustainable Power and Energy Conference (iSPEC).
Publikováno v:
2021 IEEE Sustainable Power and Energy Conference (iSPEC).
Publikováno v:
IEEE Transactions on Power Systems. 34:2061-2070
Generator start-up is a pivotal step of transmission system self-healing after large-scale blackouts. Considering the uncertainty of initial power system situation after blackouts and line restoration during power system restoration, an online genera
Publikováno v:
International Journal of Electrical Power & Energy Systems. 137:107852
Publikováno v:
2020 IEEE Sustainable Power and Energy Conference (iSPEC).
Extreme disasters seriously threaten power system security and stable operation. Power system resilience is an important means to evaluate the system response to low probability and high impact events. This paper proposes a resilience enhancement str