Comparison of a Novel Method based on Taguchi’s Loss Function with NSGA II algorithm for a solution of Economic Dispatch of an All-Thermal Power System

2018 ◽  
Author(s):  
Ravindra Kumar Chahar ◽  
SVAV Prasad
Keyword(s):  
Power System ◽  
Loss Function ◽  
Thermal Power ◽  
Economic Dispatch ◽  
Nsga Ii ◽  
Thermal Power System ◽  
Novel Method ◽  
Taguchi’S Loss Function

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

2021 ◽  
Vol 12 (2) ◽  
pp. 16-35
Author(s):  
Suman Kumar Dey ◽  
Deba Prasad Dash ◽  
Mousumi Basu
Keyword(s):  
Power System ◽  
Thermal Power ◽  
Nox Emission ◽  
Fuel Cost ◽  
Nsga Ii ◽  
So2 Emission ◽  
Emission Level ◽  
Multi Objective ◽  
Thermal Power System ◽  
Operational Constraints

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).

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