Hybrid MPPT Using Particle Swarm Optimization And P&O For PV Boost Converters
Keywords:
PSO, MPPT, MATLAB/SimulinkAbstract
Partially shaded condition pose significant challenges for the effective operation of Maximum power point Tracking algorithm in the photovoltaic system. These challenges include the potential for the algorithms to become stuck at local maximum power points (LMPP), extended tracking durations, and power variations while attempting to achieve the global maximum power point (GMPP) for the boost converter. This article contributes to the field by introducing an enhanced PSO based Hybrid MPPT techniques PSO specifically designed for PS scenarios. Initially, a comprehensive analysis of the traditional PSO Hybrid MPPT technique is conducted to Boost converter to identify its limitations regarding stability and steady-state performance under PS conditions and subsequently, the necessary criteria for achieving a stable and SteadyState response are established. Finally, A novel method, PO PSO, has been proposed for the implementation of a single-phase grid connected Inverter and photovoltaic (PV) system operating under partial shading conditions. This approach aims to estimate and regulate the grid voltage and current parameters associated with various loads. It ensures that the values of these parameters, including real and reactive power, remain within permissible limits. Ultimately, the system maintains a unity power factor despite variations in load and the presence of partial shading in the PV systems. This comprehensive study has been conducted using MATLAB software.
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