Hybrid Lévy flight and chaotic-based monodon monoceros-alexander archipelago wolf optimization algorithm for active power loss reduction and voltage stability enhancement in grid connected renewable energy systems

Hybrid Lévy flight and Chaotic based Monodon Monoceros-Alexander Archipelago wolf Optimization Algorithm (HMA) is designed based on the hunting or stalking behavior of Monodon Monoceros and Alexander Archipelago wolf. Monodon Monoceros optimization (MMO) algorithm is designed based on the hunting or stalking behavior of Monodon Monoceros. Monodon Monoceros refined communication based on clacks sound to trace the prey. Signal emanation, signal dissemination, and location modernizing of the Monodon Monoceros has been considered in the mathematical design. Alexander Archipelago wolf optimization algorithm is designed based on the cluster-based hunting behavior of Alexander Archipelago wolf. In the cluster mode hunting each Alexander Archipelago wolf plays a role and collectively as pack will attack the prey. In order to enhance the exploitation ability of the procedure Alexander Archipelago Wolf Optimization (AWO) algorithm has been hybridized with MMO procedure. Hybrid Lévy flight and Chaotic based Monodon Monoceros-Alexander Archipelago wolf Optimization Algorithm (HMA) validated in IEEE 30, 57 systems and Egyptian 220 KV grid.