Power system state estimation method based on denoising diffusion probability model data generation and multi-source data fusion

Maosong Zhang

doi:10.1016/j.epsr.2025.112302

Power system state estimation method based on denoising diffusion probability model data generation and multi-source data fusion

2025-10-04

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DOI：10.1016/j.epsr.2025.112302

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• DDPM generates high-quality data to address scarce power system measurements. • A trust-aware method fuses multi-source data robustly handling missing values. • A dynamic decoupling least squares method optimizes voltage estimation results.

Power system state estimation method based on denoising diffusion probability model data generation and multi-source data fusion

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