Multi-Objective Economic Environmental Dispatch of Variable Hydro-Wind-Thermal Power System

Autor:	Suman Kumar Dey, Deba Prasad Dash, Mousumi Basu
Rok vydání:	2021
Předmět:	Statistics and Probability Computational Mathematics Variable (computer science) Control and Optimization Computational Theory and Mathematics Computer science Modeling and Simulation Thermal power station Decision Sciences (miscellaneous) Automotive engineering Computer Science Applications
Zdroj:	International Journal of Applied Metaheuristic Computing. 12:16-35
ISSN:	1947-8291 1947-8283
DOI:	10.4018/ijamc.2021040102
Popis:	This article presents a multi-objective economic environmental/emission dispatch (EED) of variable head hydro-wind-thermal power system. The combination of NOx emission, SO2 emission, and fuel cost are minimized for non-smooth hydrothermal plants while satisfying various operational constraints like non-smooth fuel cost, penalty coefficient, and wind power uncertainty. The objectives—cost, NOx emission, and SO2 emission—are optimized at the same time. In this research, the non-dominated sorting genetic algorithm-II (NSGA-II) has been employed for solving the given problem where the total cost, NOx emission level, and SO2 emission level are optimized at the same time while satisfying all the operational constraints. The simulation results that are obtained by applying the two test systems on the proposed scheme have been evaluated against strength pareto evolutionary algorithm 2 (SPEA 2).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::76496d9df544b57886a53263451aeb1e https://doi.org/10.4018/ijamc.2021040102 Zobrazit plný text záznamu