This work designed a hybrid algorithm combining water cycle algorithm (WCA) and whale optimization algorithm (WOA), to solve optimal power flow issue (OPF). In this proposed hybrid algorithm, signature helix-shaped whale silhouette, was integrated into water cycle algorithm (WCA) to increase efficiency. This integration has greatly expanded random sampling using an innovative hybrid methodology. To increase the greater exploration capability of the algorithm, WCA sources may now be updated using Levy Flight technology. The performance of the proposed WCWOA hybrid algorithm is assessed using the IEEE 30-bus system, and its results are compared with those of other hybrid optimization algorithms. The comparison results demonstrated that the proposed method outperforms other algorithms.