A manta-ray forging algorithm solution for practical reactive power optimization problem

This paper proposes a solution to the power grid system's reactive power optimization scheduling problem (RPSP) based on a novel Manta ray forging algorithm (MRFO) evolutionary algorithm. By applying the penalty function for the reactive power optimization model, the management of the constraints of the RPSP optimization formula is counting on for calculation.