Hardware Realization of Conventional MPPT Techniques

Abstract

This paper presents a comparative study on the conventional MPPT techniques used in the solar photovoltaic system. These techniques have been implemented in a hardware environment and their performance has been studied for variations in environmental conditions. It can be observed from analysing of PV array that, the P-V & I-V characteristics are highly influenced by the environmental factors leading to low conversion efficiency. Thus, the significance of maximum power point tracking controller is very high. The analysis and comparison of various existing technique has to perform to aid in selecting the appropriate method for implementation hardware results are being analysed to examine the feasibility, cost and efficiency obtained for the existing techniques. The MPPT technique included for study are perturb & observer algorithm (P&O), incremental conductance algorithm (INC), constant voltage method (CVM) the simulation studies were carried out in the MATLAB/Simulink environment. The DSPIC30F4011 has been used to implement the MPPT control.

MPPT Study of Outdoor Sensing Terminal PV System Based on Improved PSO Algorithm

“…In recent years, the continuous development of new photovoltaic energy, domestic and foreign scholars put forward numerous optimization schemes for MPPT algorithm [5][6][7],the traditional MPPT algorithm short-circuit current method and open-circuit voltage method can achieve fast tracking under simple pair control [8],but for the outdoor environment changes, the above algorithm tracking effect is poor. In outdoor scenes considering the local shadow situation, the traditional algorithm is prone to generate into the local optimum can not meet the maximum power tracking [9][10][11][12][13],the current research, based on the continuous development of artificial intelligence algorithms, the introduction of particle swarm algorithm, gray wolf algorithm, etc [14][15],based on the algorithm rules are simple to implement, the advantages of limited parameters are used in a variety of scene conditions tracking optimization.…”