The Synergy of Mpjsa: a Novel Meta-Heuristic Approach for Optimizing Distribution Systems With Dgs

Abstract

This article uses an innovative approach to illustrate optimal distribution systems planning, incorporating DG systems. It intends to decrease energy losses while enhancing voltage profiles and the net profit, crucially influenced by reactive and active power injections. The recommended approach combines the Marine Predator Algorithm (MPrA) and Jellyfish Search Algorithm (JSA) into a hybrid meta-heuristic optimization technique named MPrJSA. The hybrid MPrA and JSA draws inspiration from the efficient hunting behavior of marine predators like sharks and the collective movement patterns of jellyfish. By combining these strategies, it aims to enhance optimization algorithms exploration, exploitation, adaptability, and robustness in solving complex problems. Motivated by the societal conduct of marine predators and jellyfish, this hybrid algorithm is employed to assess the consequences of installing DG in radial distribution systems, considering techno-economic benefits. Multiple DGs are evaluated to achieve optimization goals. The MPrJSA effectiveness is illustrated using the IEEE 33-bus system, showing significant reductions in energy and power losses and upgraded voltage profiles with total net profit. Comparative analysis with other nature-inspired approaches highlights the excellence of the proposed method. © 2024 by University of Niš, Serbia.