One of the most prominent and vital challenges for effective power system planning and management is the optimal power flow problem. In this article a recently developed Osprey Optimization Algorithm (OOA) algorithm has been applied to solve OPF issues. Many of the researchers previously been resolved a number of optimization techniques to determine the optimal operating conditions of the power system, ensuring the efficient utilization of resources while satisfying various constraints. Osprey hunting tactics are the primary source of inspiration for OOA. The performance of OOA has been evaluated in the optimization of twenty-nine standard benchmark functions from the CEC 2017 test suite. The proposed OOA algorithm balances exploration and exploitation by outperforming twelve metaheuristic algorithms in standard benchmark function optimization and real-world constrained optimization problems from the CEC 2011 test suite. Generation fuel cost minimization, enhancement of voltage stability and reduction in real power losses are considered as objectives of an OPF problems. These objectives are tested on the IEEE 30-bus system and compared with other existing algorithms among which OOA outperforms.