Adaptive Filtering Approaches to Control Maximum Power Extraction and Grid Synchronization of PV systems

Speaker:  Bidyadhar Subudhi – Ponda Goa, India
Topic(s):  Hardware, Power and Energy


In the recent years more research and development activities are directed on generating power from renewable sources such as solar photovoltaic (PV) and wind energy systems to meet the increasing power demand while reducing the carbon footprints. PV technology is one of the fastest growing energy technologies in the world owing to abundant availability of solar irradiances. 

Efficient maximum power point tracking (MPPT) algorithms are necessary to extract maximum power from a PV panel. We will present design of several new MPPT algorithms such as Self-tuned Adaptive MPPT, Double integral sliding mode controller based MPPT schemes. Under non-uniform irradiances the MPPT problem focusses on determining the global MPP. Thus, the MPPT problem can be cast as a global optimization problem. One of the most recent evolutionary optimization techniques called Grey wolf optimization (GWO) is employed to design a global MPPT such that maximum power from PV modules can be extracted under partial shading conditions. Further, in order to scale down the search space of GWO to speed up for achieving convergence in achieving the global parameters, a fusion of GWO-MPPT with P&O MPPT for obtaining maximum power from a PV system with different possible patterns is developed. 

Further, various adaptive filtering algorithms such self-tuning filtering, Extended Kalman Filtering (EKF), Iterated EKF (IEKF), Unscented Kalman Filter (UKF) are employed to design effective grid synchronization control schemes of PV systems. The above adaptive filtering based control algorithms are simulated in MATLAB/Simulink followed by real-time implementations on a prototype PV system. From the analysis of the obtained results it is confirmed that these control schemes provide efficient harmonics compensation under PCC voltage distortion, load current distortion, load fault, PCC voltage sag and swell whilst maximizing power extraction from the PV panels.

About this Lecture

Number of Slides:  50
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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