@ARTICLE{Suresh_Vishnu_Metaheuristic_2020, author={Suresh, Vishnu and Janik, Przemyslaw and Jasinski, Michal}, volume={vol. 69}, number={No 2}, journal={Archives of Electrical Engineering}, pages={335-348}, howpublished={online}, year={2020}, publisher={Polish Academy of Sciences}, abstract={This paper presents the application of an improved ant colony optimization algorithm called mixed integer distributed ant colony optimization to optimize the power flow solution in power grids. The results provided indicate an improvement in the reduction of operational costs in comparison with other optimization algorithms used in optimal power flow studies. The application was realized to optimize power flow in the IEEE 30 and the IEEE 57 bus test cases with the objective of operational cost minimization. The optimal power flow problem described is a non-linear, non-convex, complex and heavily constrained problem.}, type={Article}, title={Metaheuristic approach to optimal power flow using mixed integer distributed ant colony optimization}, URL={http://czasopisma.pan.pl/Content/116229/PDF/art_07.pdf}, doi={10.24425/aee.2020.133029}, keywords={ant colony optimization, IEEE 30 bus, IEEE 57 bus, metaheuristic algorithm, mixed integer distributed ant colony optimization, optimal power flow}, }