粒子群与电导增量法结合的光伏发电MPPT

Global optimized Photovoltaic MPPT Algorithm Based on PSO and Incremental Conductance Method

光伏阵列在局部阴影遮蔽时其P-V特性曲线会呈现出多个局部峰值的情况,电导增量法可能跟踪在某个并非最大的极值点上,从而造成跟踪失败。粒子群算法有全局寻优的特点,但跟踪精度有欠缺。提出了一种基于电导增量法优化的粒子群全局MPPT算法,粒子群算法能够快速跟踪到全局最大功率点附近,电导增量法可以进一步精确跟踪到最大功率点。通过将所提方法与传统电导增量法simulink仿真对比以及当局部阴影情况发生突变时的研究,结果证明了该方法能快速准确地跟踪到光伏阵列全局最大功率点。

The P-V array characteristic curve exhibits a plurality of local maximum power point under conditions of partial shading. The incremental conductance method maybe track an extreme value point that is not the largest power point, thus lead to tracking failure. The PSO algorithm has the characteristics of global optimization, but its tracking precision is deficient. A global MPPT algorithm based on PSO algorithm by incremental conductance method was proposed, PSO algorithm could quickly locate to the approximate global MPP, INC could further precise the MPE Compared to the traditional incremental conductance method Simulink simulation and the research when partial shade suddenly changed, the result shows that the present method can track the global MPP of the PV array quickly and accurately.