The integration of distributed energy resources into power networks is accelerating. The resulting variability narrows operating margins, so a disturbance can cascade into a wide-area blackout. Controlled islanding arrests that propagation by splitting a compromised grid into self-sustaining islands that keep coherent...
Yu-Qi Jiang, Zhi-Ding Liang, Qiang Guan et al.· 0 citations
A qubit-efficient hybrid quantum framework combining a physics-informed compact encoding with Lagrangian constraint handling and classical feasibility refinement is presented, offering a transferable approach for scaling constrained quantum optimization toward larger real-world applications on near-term hardware.
The proposed framework provides a feasible and scalable pathway for quantum optimization in large-scale power systems and substantially reduces quantum-resource demand and circuit complexity relative to monolithic QAOA, allowing large islanding problems to be addressed within current hardware limits.
Yu-Qi Jiang, Zhi-Ding Liang, Qiang Guan et al.· 0 citations
This paper studies the role of model initialization in federated STLF, and proposes two initialization strategies from global and local perspectives, which effectively improve forecasting performance, as evidenced by reduced client drift, improved convergence behavior, and lower forecasting errors.
Jia-Ning Chen, Vajiheh Farhadi, Yan Li et al.· 0 citations
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