Dual Search Maximum Power Point (DSMPP) Algorithm Based on Mathematical Analysis under Shaded Conditions

作者: Shahrooz Hajighorbani , Mohd Radzi , Mohd Kadir , Suhaidi Shafie

DOI: 10.3390/EN81012116

关键词: MathematicsEnergy (signal processing)Power (physics)Control theoryPhotovoltaic systemBoost converterRenewable energyAlgorithmMathematical analysisMaximum power principlePoint (geometry)Maximum power point tracking

摘要: Photovoltaic (PV) systems represent a clean, renewable source of energy that has non-linear current-voltage (I-V) and power-voltage (P-V) characteristics. To increase the efficiency, PV system must operate at maximum power point (MPP) to produce available power. Under uniform conditions, there is only single MPP in P-V curve system; however, determining more complicated under partially shaded conditions (PSCs) because multiple peak points exist. In recent years, various studies have been performed obtain highest PSCs, which referred as global (GMPP). this paper, novel method based on mathematical analysis reduces search zone simultaneously identifies possible MPPs specified proposed; proposed called dual (DSMPP) algorithm. evaluate effectiveness method, simulation hardware implementations are carried out. The results show time GMPP significantly reduced detected minimum amount with high accuracy oscillation produced.

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