Year: 2025
Type: article
Abstract: This paper introduces an improved strategy for multi-area economic and environmental dispatch (MAEED) utilizing the Non-Dominated Sorting Genetic Algorithm II (NSGA-II).As the global push for sustainable energy solutions intensifies, optimizing power distribution to minimize both cost and emissions has become essential.This work formulates MAEED as a bi-goal nonlinear constrained optimization problem incorporating power balance, generation capacity, and tie-line limits.The proposed NSGA-II is benchmarked against Strength Pareto Evolutionary Algorithm II (SPEA-II) and other contemporary methods.Simulation results on a four-area power system illustrate that NSGA-II consistently outperforms alternatives by offering superior trade-offs between cost and emissions.Recent studies support these findings, highlighting the robustness of evolutionary approaches in multi-goal dispatch problems. I.
Authors: Abhik Hazra, Arnab Ganguly, Amartya Roy, Mihir Kumar Manna, Rakesh Naskar
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411872137