Latest research

  1. Article

    A sliding mode control approach to suppress power quality challenges in single-phase variable frequency drives within the constant power region

    • Mahdi Maleki
    • Mehrdad Kaveh Tafti
    • Seyed Hossein Hosseinian

    This paper proposes a variable frequency drive (VFD) for single-phase induction motors that features power factor correction (PFC) and addresses power quality issues, including current and voltage harmonic distortion on the grid and load sides. The...

    02 October 2026 Open access
  2. Article

    Deep reinforcement learning-based adaptive FOPID tuning for power system stability enhancement: A twin delayed deep deterministic policy gradient approach

    • Shashank Kumar
    • Mangal Singh
    • Mahesh Singh

    This paper proposes a Twin Delayed Deep Deterministic Policy Gradient (TD3)-based adaptive fractional-order proportional-integral-derivative (FOPID) controller for joint load-frequency and voltage regulation in a renewable-rich power system. The...

    02 October 2026 Open access
  3. Article

    A dual-stage self-attention hybrid convolutional neural network-gated recurrent unit architecture for real-time power quality disturbance diagnosis

    • Indu Sekhar Samanta
    • Buddhadeva Sahoo
    • Murthy Cherukuri

    The increased adoption of the smart grid (SG) infrastructure to overcome the limitations of traditional grid have faced growing challenges for real-time monitoring and classification of features due to the complexity and dynamic nature of power...

    01 October 2026 Open access
  4. Article

    Robust super-twisting sliding mode control for DFIG wind turbines: extreme LVRT compliance with the German (VDE/NAR) standard and power quality enhancement

    • Oday S. Fares
    • Riyadh G. Omar
    • Kassim A. Al-anbarri

    In modern hybrid electricity grids, the dependence on the Doubly Fed Induction Generator (DFIG) has increased widely. The reliable operation of such grids requires modern techniques to ensure that the DFIG stays connected during voltage dips (known...

    30 September 2026
  5. Article

    Short-term power forecasting model for distributed wind-PV grid connection based on MIC feature screening and improved FTO optimized XGBoost

    • Lei Shi
    • Zhilei Xie
    • Lu Liang

    Aiming at the strong randomness, fluctuation, redundant feature interference, low fitting accuracy, and easy local optimum of hyperparameter optimization in traditional distributed wind–photovoltaic grid-connected power forecasting models, a novel...

    29 September 2026 Open access
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