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

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  • Suman Kumar Dey

    (Jadavpur University, India)

  • Deba Prasad Dash

    (Government College of Engineering, Kalahandi, India)

  • Mousumi Basu

    (Jadavpur University, India)

Abstract

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).

Suggested Citation

  • Suman Kumar Dey & Deba Prasad Dash & Mousumi Basu, 2021. "Multi-Objective Economic Environmental Dispatch of Variable Hydro-Wind-Thermal Power System," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 12(2), pages 16-35, April.
    • Handle: RePEc:igg:jamc00:v:12:y:2021:i:2:p:16-35
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