Maximum Power Point Tracking of PV system Based Cuckoo Search Algorithm; review and comparison

Abstract

The article presents a review about Maximum Power Point Tracking (MPPT) of PV system based cuckoo search algorithm. Cuckoo search (CS) provides several advantages such as the process of tuning parameters is few with high efficiency beside fast convergence. Cuckoo search uses a random walk according to le’vy flight in searching process. MPPT by using cuckoo search is compared to other two methods, neural network method which needs training for data and the incremental conductance method. DC-DC converter is utilized with direct duty cycle control of PWM based PID controller. The PID controller parameters are tuned using particle swarm optimization (PSO) and compared with classical methods. The results show that CS can track MPP under different operating conditions with lower power losses compared to the other two methods.