Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer

The increase in demand for MicroGrids (MGs) is a significant factor the provision of electricity future, mainly due to use renewable energy sources, which reduces release hazardous gases. grid-connected MG operation most cost-effective and reliable because it actively involves grid buying selling power, lowering cost MG. This study describes residential thermal/electrical home system comprising battery storage combined heat power fuel cell. optimal planning various resources scheduled by new optimization algorithm called Levy Flight Chaos-assisted Artificial Rabbits Optimization (LFCARO), resulting lowest operational this system. operating building reduced using day-ahead scheduling process controlling multiple sources create look-up table that estimates best schedule distributed at each time frame. impact prices obtaining from primary on system’s costs examined. efficiency LFCARO compared with other algorithms, results show performs better than algorithms. execution proposed less 1 sec. 10 numerical problems 1.5 resource distribution systems. Based average Friedman’s ranking test values, stands first 1.82 real-world problems.