A deep-learning based method for accelerating dynamic reconfiguration of distribution networks
Distribution network dynamic reconfiguration (DNDR), formulated as a mixed-integer quadratic programming (MIQP) problem, is computationally intractable for large-scale systems due to combinatorial complexity and temporal coupling. To address this issue, this paper presents a deep learning-based fram...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525003552 |
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