Efficient MPPT Controller for Solar PV System Using GWO-CS Optimized Fuzzy Logic Control and Conventional Incremental Conductance Technique

In this work, an efficient MPPT controller is designed using expert fuzzy system and conventional incremental conductance (INC) algorithm for solar photovoltaic system. The proposed controller possesses adaptive capability due to the inclusion of optimized fuzzy logic expert knowledge and simultaneously preserves the simplicity of conventional MPPT. The membership functions in proposed INC-Fuzzy controller are optimized using hybrid grey wolf cuckoo search optimization so as to increase the tracking accuracy of controller. The basic INC MPPT and INC-PID MPPT techniques are also implemented for comparative analysis. The performance of proposed hybrid INC-Fuzzy MPPT controller is validated on a string of multi-crystalline solar cell KC130GT by M/s Kyocera in 4S1P configuration. The effectiveness of proposed technique is justified in terms of power tracking accuracy and average efficiency.