Congratulations Nicholas Kwesi Prah II

Nicholas Kwesi Prah II is a graduating MPhil student from the Electrical Engineering Department at KNUST.
His research interests are applying metaheuristic algorithms to solve power systems engineering problems and smart grid technology.

He improved the Mayfly Algorithm for his MPhil project by modifying its individual experience formula. He applied it to a grid-connected microgrid's combined economic emission dispatch (CEED) problem. He found that the improved Mayfly algorithm outperformed popular algorithms such as PSO and Dragonfly algorithm in achieving optimum CEED cost. His project provides a framework for optimising the cost of microgrid operations and emissions.

KEEP has been instrumental in his academic success by providing financial support and internship opportunities. He is very grateful for the mentorship, encouragement and training he received from the staff and management of KEEP.

As he enters a new season of life, he plans to pursue a PhD in Electrical Engineering. He hopes to continue advancing knowledge and innovation in his field.