Joint probabilistic modeling approach for harmonic and three-phase unbalanced disturbance sources

Area of Science:

• Electrical Engineering
• Power Systems Analysis

Background:

• Harmonics and three-phase imbalance are prevalent power system disturbances.
• These disturbances interact, complicating their impact on power system performance.

Purpose of the Study:

• To investigate the joint emission level of harmonic and three-phase unbalanced disturbance sources (H-TU-DS).
• To develop a comprehensive and accurate analysis of their distribution and interaction mechanisms.

Main Methods:

• Dimensionality reduction of multidimensional H-TU-DS data using correlation coefficients.
• Classification of operating conditions using an improved fuzzy C-means (FCM) algorithm.
• Joint probability modeling of H-TU-DS using nonparametric kernel density functions with adaptive bandwidth improvement.

Main Results:

• The proposed methods effectively filter feature datasets, classify operating conditions, and perform joint probability modeling.
• Validation through comparisons with simulated and actual data confirms the accuracy and effectiveness of the approach.

Conclusions:

• The developed model accurately predicts the impact of H-TU-DS on power quality post-grid connection.
• It enables proactive prevention of power quality problems through advanced treatment strategies.