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Modified Jaya Optimization Algorithm for Combined Economic Emission Dispatch Solution

Swaraj Banerjee and Dipu Sarkar
Department of Electrical and Electronics Engineering, National Institute of Technology Nagaland, Dimapur, India

Abstract—The Combined Economic Emission Dispatch (CEED) problem focuses on the short-term determination of optimal generation from a number of power generating units in a way such that both generation costs and emission levels become minimum simultaneously, while satisfying all operational constraints and the load demand. The CEED problem considers the environmental impacts from the gaseous emission of pollutants at fossil-fueled power generating plants. This paper presents the formulation of the CEED problem as a multi-objective problem which in turn has been converted into a single objective function considering price penalty factor. This article proposes a new optimization algorithm, Modified Jaya Optimization Algorithm (MJOA), for CEED problem solution. The existing Jaya Optimization Algorithm (JOA) has been slightly modified to formulate the MJOA for faster convergence and robustness. Later the modified algorithm has been implemented in two test systems to investigate and ensure the effectiveness. The simulation results of the modified algorithm have been compared with other exiting algorithms, present in literature and MJOA has proved to be the best and most powerful amongst them.

Index Terms—jaya optimization algorithm, economic load dispatch, constrained minimization, multi objective, valve-point effect, environmental dispatch

Cite: Swaraj Banerjee and Dipu Sarkar, "Modified Jaya Optimization Algorithm for Combined Economic Emission Dispatch Solution," International Journal of Electrical Energy, Vol. 6, No. 1, pp. 13-19, June 2018. doi: 10.18178/ijoee.6.1.13-19

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