In this paper, stochastic fractal search method (SFS) is employed for solving the optimal reactive power flow (ORPF) problem with\na target of optimizing total active power losses (TPL), voltage deviation (VD), and voltage stability index (VSI). SFS is an effective\nmetaheuristic algorithm consisting of diffusion process and two update processes. ORPF is a complex problem giving challenges\nto applied algorithms by taking into account many complex constraints such as operating voltage from generators and loads,\nactive and reactive power generation of generators, limit of capacitors, apparent power limit from branches, and tap setting of\ntransformers. For verifying the performance, solutions of IEEE 30 and 118-bus system with TPL, VD, and VSI objectives are found\nby the SFS method with different control parameter settings. Result comparisons indicate that SFS is more favorable than other\nmethods about finding effective solutions and having faster speed. As a result, it is suggested that SFS should be used for ORPF\nproblem, and modifications performed on SFS are encouraged for better results.
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