Search and Rescue Optimization to solve Economic Emission Dispatch

Abstract

The combination of fuel cost and emission dispatch minimizes fuel cost factors and gas emissions to provide optimal performance for the generation units located in a power plant, ensuring demand supply. The former variable is absolute to maintain business permanence, and the latter to assure compliance with ecological regulation and no environmental harm. This work investigates the application of a new optimization technique known as the Search and Rescue Optimization Algorithm (SAR), which improves searching capability by employing specified parameters. This algorithm has three effective parameters and works with all generators to minimize the cost and emission while satisfying the defined demand. Simulations were run on multiple IEEE test systems with varying demand values. The obtained findings were compared to each other as well as to the results of other procedures mentioned in the literature. The acquired results appear to be superior to those achieved by other metaheuristics algorithms.