A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid

摘要

In this article, a new optimization technique is proposed. The proposed technique is a nature-inspired population-based meta-heuristic optimization technique which is inspired from bottlenose dolphins. Therefore, it is named as bottlenose dolphin optimizer. The proposed method replicates the mud ring feeding strategy used by them. In this study, mud ring feeding technique is mathematically modeled and is examined with two case studies for the superiority in comparison to other existing optimization techniques. The first case study includes benchmark functions which are used to examine the exploration, exploitation, local minima and convergence characteristics of the proposed technique. In second case study, a real-time optimization problem related to power systems i.e. a dynamic emission economic dispatch problem is considered. The two case studies show that the proposed technique exhibits a better exploration and exploitation capabilities as compared to some of the existing well known optimization algorithms.