Energy harvesting is an emerging field in power electronic industry. Extracting energy from the environment, especially from non conventional energy sources has becoming highly demanded nowadays. From this point of view, solar energy plays a most promising role as a non conventional energy source. In this paper, a small scale grid connected solar power generation system with a maximum capacity of 1KW power output with a single phase AC has been considered for study. For the improved system performance, an Artificial Bee Colony integrated Perturb & Observe (ABC-PO) algorithm is used to track the Maximum Power Point (MPP) of solar panels. ABC-PO is capable of tracking Global Maximum Power Peak (GMPP) even under Partial Shading Condition (PSC). A DC-DC boost converter followed by a single stage H-bridge inverter along with LC filter is utilized to feed an RMS voltage of 230V to the grid. The simulation results clearly show the tracking of true MPP under varying irradiance conditions and 230Vrms at the grid side
Artificial Bee Colony (ABC) Algorithm, Grid connected systems, Maximum Power Point Tracking (MPPT), Partial Shading Condition (PSC), Perturb and Observe (P&O) algorithm, Solar PV systems.
Cite this paper
Deepthi Pilakkat, S.Kanthalakshmi. (2019) Artificial Bee Colony Integrated P&o Algorithm for Single Phase Grid Connected Photovoltaic Application. International Journal of Instrumentation and Measurement, 4, 45-52
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