An Enhanced Most Valuable Player Algorithm Based Optimal Power Flow Using Broyden'S Method

Optimal Power Flow (OPF) problem is an important operational problem in power systems with a goal of optimizing one or more chosen objectives through adjusting certain control parameters. The most valuable player algorithm (MVPA) is a population based approach, inspired from the behaviour of players with a goal of winning the trophy, for solving optimization problems. This paper firstly enhances the MVPA by taking into account the bad and offensive players with a goal of avoiding sub-optimal traps and achieving a fast convergence, and then suggests a new solution method involving the enhanced MVPA for solving the OPF problem. The method employs a fast Newton-Raphson power flow involving Broyden's method for evaluating the performance of the players. It presents simulation results of IEEE 30 and 57 bus test systems and exhibits that the suggested method is robust and efficient.