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Efficient Monte Carlo simulation for distributed generation hosting capacity based on statistical distribution analysis
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DOI：10.1016/j.epsr.2026.113758.png)
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Abstract
En 中文
• Sufficient Monte Carlo scenarios for hosting capacity determined by statistics. • Permutation-based framework ensures statistical rigor and mitigates order bias. • XGBoost and SHAP identify physical predictors driving overvoltage violations. • Framework establishes foundations for efficient Physics-Informed simulations.
Keywords:
Distributed generation
Distribution networks
Hosting capacity
Monte Carlo simulation
Statistical distribution analysis
Journal
IF:
4.2
Papers:
1.1W
Citations:
2.2W
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