Cost Analysis for DC Microgrid Incorporating Renewable Energy Resources using Search- and Rescue-Based Emperor Penguin Optimization Algorithm

The increase in the usage of fossil fuels for energy production has led to the extermination of natural minerals, which gives rise to the hybridization of non-renewable resources with renewable resources. The energy generation system's integration has confiscated a new problem in load dispatch to the consumers with economic satisfaction. In this research work, hybrid optimization is proposed for the economic load dispatch formation by allocating the power in the hybrid energy sources. The PV-WT-diesel generator is used for power generation, and the search- and rescue-based emperor penguin optimization algorithm is used to allocate the power to the corresponding generation unit. The implementation is done by considering the ramp rate limit and the valve point effect. The implementation is done on the MATLAB platform for modeling the hybrid energy source and the optimization process. As a result, the combination of tri-generators has proved for a better result, costing 27248.88$/hr. At 400 MW load, inducing the emission cost of 0.012$/hr. In contrast to other methods, the fuel and emission cost is reduced to 2.66%.