Multi-Objective Optimal Power Flow With Improving Voltage Stability and Loss Minimization Using Moth Flame Optimization Algorithm

The present work introduced optimization of multi-objectives optimal power flow problem using non-dominated sorting moth flame optimization (NSMFO) technique. The best compromise solutions among the pareto front is decided with the fuzzy decision making technique. The efficacy and competence are validated through the IEEE 30-bus network. The outcomes are collated with certain modern optimization algorithms.