Chaotic Quasi-Oppositional Moth Flame Optimization for Solving Multi-objective Optimal DG Emplacement Problem in Radial Distribution Network

Many scientists are still concerned about power quality and minimising system losses. By lowering distribution losses, distributed generation (DG) increases overall electricity efficiency and quality. The approach used in this work employs chaotic quasi-oppositional moth flame optimisation (CQOMFO) to determine the appropriate scale of DG in the radial distribution system, hence minimising losses, lowering voltage deviance, and improving the voltage stability index. The aforementioned technique is put to the test on three separate test systems, which include buses of 33, 69, and 118. The multi-objective function has been significantly fine-tuned in order to gain a thorough technical understanding of the CQOMFO algorithm. The results of the computer simulations produced with the assistance of the scheduled approach are contrasted with the earlier optimisation methods put forth by several authors.