Environment-Friendly Economic Load Dispatch Using a Novel GSA-BBO Hybridization Algorithm

In order to address environment-friendly economic load dispatch problems, a unique hybrid algorithm based on Newton's law of gravity and biogeography is suggested in this study. It expands the search space of the Gravitational Search Algorithm (GSA) from a local population range to a global scale by incorporating the principles of biogeography employed in the case of Biogeography Based Optimization (BBO). The enhanced search capability of GSA-BBO is effectively utilized in this paper to achieve multiple objectives. Validation is conducted on an IEEE 30-bus system. The findings acquired through the GSA-BBO are being compared to the results obtained through other approaches mentioned in the literature. It demonstrates the computational capabilities and consistency of GSA-BBO, confirming its efficacy and reliability.