Advanced Hybrid Ant-Battle Royal Optimization for Precise Power Flow Control in Single and Multi-Objective Scenarios

The operative mechanism and organization of Electrical Power Flow (EPF) inside a power system are precarious for confirming the efficacy, reliability and constancy of the electrical network. This progression, recognized as Power Flow Control (PFC), develops essential in improving energy circulation, particularly in the incidence of renewable energy sources and fluctuating requests. This study suggested a novel approach such as Hybrid Ant-Battle Royal Optimization (HA-BRO), to increase power flow instruction in electric power systems. HA-BRO is intended to address experiments related to Power System Management (PSM), with the addition of renewable energy, mandate response and optimization of smart grids. The proposed HA-BRO procedure is examined by concluded circumstance studies led on the IEEE 118-bus test structure. The outcomes establish its competence to progress various features of power system performance exceeding the efficiency of prevailing methods. The investigation highlights resourceful progress in the optimization of intricate systems, accentuating the progressive nature of the HA-BRO system for accomplishing defined power flow regulation. The unified integration of HA-BRO into PSM enhanced technical performance as simplified productivity in terms of Power Loss, Total Cost, Emission Time, and CPU Time that overcomes current challenges in power structure supervision that is suitable for intelligent and ecological energy networks.