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 TamannaDescription
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