Multi-Objective Optimal Power Flow Problems Based on Slime Mould Algorithm

Solving the optimal power flow problems (OPF) is an important step in optimally dispatching generation with considered objective functions. A single-objective function inadequate for modern systems, required high-performance generation, so problem becomes multi-objective (MOOPF). Although MOOPF has been widely solved by many algorithms, new solutions are still to obtain better performance of generation. Slime mould algorithm (SMA) a recently proposed metaheuristic that applied solve several optimization different fields, except problem, while it outperforms various algorithms. Thus, this paper proposes solving based on SMA considering cost, emission, and transmission line loss as part functions system. The IEEE 30-, 57-, 118-bus systems used investigate problems. values generated compared those other algorithms literature. simulation results show provides than literature, Pareto fronts presenting can be efficiently obtained.