MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives

摘要: In this paper, the applications of artificial intelligence-based methods for tracking maximum power point have been reviewed and analysed. The are based upon neural networks, fuzzy logic, evolutionary algorithms, which include genetic particle swarm optimization, ant colony other hybrid methods. Rapid advances in programmable logic devices (PLDs) including field gate arrays (FPGAs) give good opportunities to integrate efficiently such techniques real time applications. An attempt is made highlight future trends challenges development embedded intelligent digital (MPPT) controllers into FPGA chip. Special attention also given cost, complexity implementation, efficiency, possible practical realization. We believe that review provides valuable information engineers, designers scientist working area show renewable energy systems.