Implementation of Maximum Power Point Tracking on Solar Panels using Cuckoo Search Algorithm Method

Comparative study of nature-inspired maximum power point tracking algorithms for partially shaded photovoltaic systems

“…Figure 1 shows schematic diagrams of all three nature-inspired algorithms. Figure 1(a) depicts the cuckoo search algorithm, an optimization technique inspired by the egg-laying behavior of cuckoo birds [12], [13]. The algorithm is used for duty cycle optimization of a boost converter in a partially shaded solar panel system to maximize the panel's output power.…”

“…However, it is important to note that SC algorithms generally exhibit increased complexity and slower processing speeds. Nevertheless, the cuckoo search (CS) [12], [25] algorithm has garnered attention due to its robustness, superior convergence, higher efficiency, and reduced tuning parameters. Tagayi et al [26] employed a global peak search algorithm inspired by flower pollination to address the optimization of partially shaded solar panels.…”

Chattering Free Adaptive Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking

“…These methods have the tendency to converge quickly to a global maximum; thus, they can save power loss even in a partially shaded environment. Cuckoo search algorithm [13], ant colony optimization [14], particle swarm optimization [15], and evolutionary algorithm [16] are the proposed latest techniques developed in the class of BITs. Despite their usefulness in various environmental conditions, these techniques are inefficient because their slow convergence obstructs their practical usage as on-line solutions.…”