Comparação entre Rastreadores Inteligentes para o Ponto de Máxima Potência de um Sistema Fotovoltaico

Abstract

Electricity generation is an indispensable factor for society, both for economic and social development. Within this context, renewable sources have been gaining space, one of them being photovoltaic solar. However the efficiency of photovoltaic systems presents nonlinear characteristics due mainly to the variation of temperature and irradiation and, as a consequence, the efficiency achieved. This can be improved by operating at the Maximum Power Point, called MPP, which can be achieved by applying some tracking techniques, called maximum power point trackers (MPPT). This paper discusses the implementation of two intelligent algorithms: one based on particle swarm (PSO) and the other on fuzzy, and these are compared with disturb and observe (P&0) in terms of generated power and noise, of the delivered power. The results indicated that the PSO is more effective than the others, delivering higher power. In turn, fuzzy delivers less noise in its operation.