This work presents an improved phase-locked loop (IPLL)-based control for grid-integrated photovoltaic (PV) system (GIPVS). It is used to extract amplitude, frequency, and phase angle of distorted load currents to con...
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This work presents an improved phase-locked loop (IPLL)-based control for grid-integrated photovoltaic (PV) system (GIPVS). It is used to extract amplitude, frequency, and phase angle of distorted load currents tocontrol PV-grid-interfaced voltage source converter (VSC). The VSC controls active and reactive powers at unbalances and distortions in the grid voltages. The controlalgorithmof VSC includes power feed-forward term, DC-link voltage, and grid voltages. The feed-forward term improves the dynamic performance of a GIPVS and enhances the utilisation of VSC. Three-phase IPLLs extract the in-phase components of three-phase load currents at utility frequency. Further, these in-phase components of load currents are used for estimation of reference-grid currents. The proposed IPLL-based controlalgorithmoffers good dynamic response even under unbalanced load condition. The efficient working of IPLL-based controlalgorithm is realised by extracting maximum power from PV-grid system and through its power-quality improvement. The perturb and observe (P & o) controlalgorithm is used for optimum utilisation of a PV array. A developed prototype of PV-grid system is used to implement an IPLL-based controlalgorithm under different operating conditions.
This study presents an adaptive perturb and observe (P&o)-fuzzy control maximum power point tracking (MPPT) for photovoltaic (PV) boost dc-dc converter. P&o is known as a very simple MPPT algorithm and used wi...
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This study presents an adaptive perturb and observe (P&o)-fuzzy control maximum power point tracking (MPPT) for photovoltaic (PV) boost dc-dc converter. P&o is known as a very simple MPPT algorithm and used widely. Fuzzy logic is also simple to be developed and provides fast response. The proposed technique combines both of their advantages. It should improve MPPT performance especially with existing of noise. For evaluation and comparison analysis, conventional P&o and fuzzy logic controlalgorithms have been developed too. All the algorithms were simulated in MATLAB-Simulink, respectively, together with PV module of Kyocera KD210GH-2PU connected to PV boost dc-dc converter. For hardware implementation, the proposed adaptive P&o-fuzzy control MPPT was programmed in TMS320F28335 digital signal processing board. The other two conventional MPPT methods were also programmed for comparison purpose. Performance assessment covers overshoot, time response, maximum power ratio, oscillation and stability as described further in this study. From the results and analysis, the adaptive P&o-fuzzy control MPPT shows the best performance with fast time response, less overshoot and more stable operation. It has high maximum power ratio as compared to the other two conventional MPPT algorithms especially with existing of noise in the system at low irradiance.
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