A comparative study of modified swarm intelligence based algorithms for solving multi-objective optimal power flow incorporating wind power and load uncertainties

摘要

This paper investigated into a comparative study of modified swarm intelligence based algorithms for solving multi-objective optimal power flow incorporating wind power and load uncertainties to improve its efficiency and optimize power system generation. The proposed method has been tested under a number of modified IEEE test systems. The results show that solving the multi-objective optimal power flow with the proposed algorithm are more effective than other swarm intelligence methods in the literature.