A novel MDA2LO technique for load flow analysis with hybrid power flow controller

In this paper, modified dragonfly algorithm (MDA) with ant lion optimization (ALO) based Load Flow Analysis (LFA) with hybrid power flow controller in comparison with unified power flow controller is established. The proposed technique is exemplify at enhanced search ability, random reduction and decreased complexity. Here, search behavior of dragonflies is updated to ALO algorithm. Hence, the combination of these two optimization algorithm is named as MDA2LO technique. In this paper, load flow studies are suggested with obtain voltage, real and reactive power and load angle in each bus of power system to divide their steady state circumstances utilizing MDA2LO approach. The proposed system is actualized on MATLAB/Simulink working platform. The proposed study is experienced at IEEE 30 and 14 bus system. The performance of proposed system is compared to previous method like salp swarm algorithm-firefly (SSA-FF), combination of modified salp swarm optimization algorithm and moth-flame optimization called CMSSMFO and dragonfly algorithm (DA).The result accuracy (RA) of proposed and existing method is also analyzed. The RA of the proposed hybrid system is 52.7699% and SSA-FF is 9.665%, CMSSMFO is 11.995%, DA is 10.721%. Overall, the comparison outcomes decide the benefit of proposed system and confirm their potential for resolving these issues.