Integration of Renewable energy sources with Battery Energy Storage for Line Loss Reduction in Distribution Networks using HALACBO algorithm

Line loss is a critical indicator of energy management efficiency in low-voltage power systems, with transformer areas contributing significantly to overall distribution losses. It is vital to reduce these losses to enhance efficiency, minimize wastage of energy, and enable sustainable power distribution. A new hybrid optimization method, HALACBO, which combines the Artificial Lemming Algorithm (ALA) with Coyote and Badger Optimization (CBO), is presented in this research. The method emphasizes finding the best location and size of distributed generation (DG) units and solving voltage profile enhancement and harmonic distortion constraints. Renewable energy sources (RES) like photovoltaic (PV) systems, wind turbines, and battery energy storage systems (BESS) are integrated in order to improve grid performance. Simulation results based on the IEEE 33-bus test system implemented in MATLAB confirm that the devised model effectively mitigates line losses providing better results. The results validate HALACBO's capability to improve efficiency and integration of renewables. When compared to other existing algorithm, the proposed technique has low fitness value at 20 iterations.