Application of Harris Hawks Optimization (HHO) Based on Five Single Objective Optimal Power Flow

This article introduces one of the recent meta-heuristic algorithms nature-inspired called Harris Hawks Optimization (HHO) to solve optimal power flow (OPF) problem in power systems. Generation cost (GC), emission (E), active power loss (APL), voltage deviation (VD), and the indicator of voltage stability index (L-index) are the main aims that will be optimized as objective functions in this study. To evaluate the performance of HHO algorithm, IEEE 30 bus power system have been tested with five studied cases. In addition, the numerical results obtained from this method are compared with recent optimization methods have been reported in the literature. These results refer to the ability of HHO algorithm to find better optimal control variables. The results obtained of this paper using HHO algorithm are: 800.1853 $/h, 3.1232 MW, 0.2183 to n/h, 0.1395 p.u., and 0.1123 for generation cost (GC), active power losses (APL), emission (E), voltage deviation (VD), and indicator of voltage stability index (L-index), respectively.