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Power Quality and Energy Management in Grid-Tied Dual-Stage PV-Battery Systems Using ASSLMS Algorithm

Abstract

This paper presents an adaptive control strategy for grid-connected solar photovoltaic (SPV) systems with battery storage to improve power quality and energy management. An adjustable step-size least mean square (ASSLMS) algorithm governs a distribution static compensator (DSTATCOM) for reactive power compensation, harmonic mitigation, and stable power delivery under varying irradiance and load conditions. Compared to conventional methods, ASSLMS achieves faster response, reduced fluctuations, and improved performance during dynamic transitions. Incremental conductance-based peak power point tracking (PPPT) maximizes SPV output, while a bidirectional converter regulates voltage and battery charging/discharging. MATLAB/Simulink results show total harmonic distortion of 1.37% (steady-state) and < 2.46% (dynamic), meeting IEEE-519 limits, with near-unity power factor and efficient energy flow between SPV, battery, and grid.

Research topics

  • Microgrid Control and Optimization
  • Photovoltaic System Optimization Techniques
  • Power Quality and Harmonics

Sustainable Development Goals

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DOI: 10.1109/stpec66316.2025.11490955

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