A Neuro-Fuzzy Approach to Grid connected Multi-Junction PV Array using PWM Inverter
- Maninder Pal Singh
- Akhil Gupta
ANFIS, MPPT, PV cell, multi-junction solar cell.
In this paper a novel Adaptive Neuro-fuzzy algorithm is proposed based on Inference System for Maximum Peak Power Transfer technique for multi-junction solar cells connected to a grid. The multi-junction solar cells can be supposed to provide better efficiency as opposed to their single junction counterparts. ANFIS based algorithm is designed utilizing neural network and fuzzy logic. The membership functions are formulated using an initial inference and then the weights of the common membership functions are found by using Neural Network. Gradient Learning is utilized for tuning. The firing angle’s optimal value is calculated and fed to the Boost converter. The converter output is given to a three phase inverter and the inverter output is connected to a grid. The inverter is controlled using a PWM regulator. The results are compared to that of an incremental conductance technique and it is found that the ANFIS based MPPT performs quite better than its other counterparts in terms of transient state and the magnitude of voltage obtained
Maninder Pal Singh, Akhil Gupta. "A Neuro-Fuzzy Approach to Grid connected Multi-Junction PV Array using PWM Inverter".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.4, Issue 2, pp.239-242, URL :https://rjwave.org/ijedr/papers/IJEDR1602041.pdf
Volume 4 Issue 2
Pages. 239-242