| Abstract |
This paper presents the study on the application of Binary Search Algorithm (BSA) to determine themaximum power point under partially shaded photovoltaic system. In partially shaded conditions,maximum power point tracking (MPPT) is a challenging task and prone to local maxima problem. TheBSA-based algorithm, together with well-established PSO and another commonly used hill climbingmethod, perturb and observe (P&O) were developed and simulated in MATLAB Simulink. All threealgorithms were examined under 15 different partial shaded test conditions. In order to further analyzethe real time performance of the algorithms, hardware-in-the-loop (HIL) was utilized to emulate thebehavior of the power converter while digital signal processor (DSP) was used to realize the MPPTalgorithms. From the study, the BSA has shown a faster average convergence speed compared to PSO.It is also shown from the study that the BSA was capable to perform MPP tracking under partiallyshaded conditions, with the ability to obtain up to 99 \% tracking efficiency. |
