
Adaptive Control Strategy for Power Flow Controller with Disturbance Mitigation Using Discrete Wavelet Transform in RES-Integrated Railway Systems
Author(s) -
Hamed Jafari Kaleybar,
Morris Brenna,
Mariacristina Roscia
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3594572
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The growing direct integration of renewable energy sources (RES) into railway power networks has increased their vulnerability to power quality (PQ) disturbances and dynamic variations. To address these challenges, a novel control strategy for the railway power flow controller (RPFC) to increase its capacity for compensation and dynamic performance is presented. An adaptive discrete wavelet transform-based control scheme incorporated into a twofold instantaneous reactive power method (ADW-TIRP) is proposed to enhance RPFC performance under fluctuating operating conditions. The proposed adaptive method is designed to operate effectively with various traction substation transformer configurations, including the main ones V/V and Scott transformers. The key advantages of the ADW-TIRP approach lie in its superior suppression of a wide spectrum of harmonic components, its robust dynamic response against time-varying train loads, and its enhanced robustness against disturbances caused by the integration of RESs into the railway network. The suggested control strategy’s efficacy is demonstrated through MATLAB/SIMPOWER simulations for different scenarios, validating its capability to improve PQ and system stability under different disturbances situations.
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