GAMS code and simulation data for: Multi-objective Optimization of Renewable Energy Integrated Hybrid Power System using GAMS: A Dynamic Economic-Emission Load Dispatch Model in Rangpur, Bangladesh

Published: 14 August 2026| Version 1 | DOI: 10.17632/jmstthrxwz.1
Contributor:
Tajkia Tamanna

Description

This dataset contains the GAMS source code (4 scenarios) and hourly simulation output data (power, cost, and emission per generator) supporting the results reported in the manuscript "Multi-objective Optimization of Renewable Energy Integrated Hybrid Power System using GAMS: A Dynamic Economic-Emission Load Dispatch Model in Rangpur, Bangladesh" (Heliyon). See the included README.md for details.

Files

Steps to reproduce

Run each .gms file in GAMS Studio with the CONOPT4 solver. See README.md for details.

Categories

Multi-Objective Optimization, Renewable Energy

Licence