Solution of Multi Objective Environmental Economic Dispatch by Grey Wolf Optimization Algorithm

Keywords: Grey wolf optimization, Economic dispatch, Environmental economic dispatch, nonconvex emission, Loss minimization.

Abstract

This paper presents the recently developed Grey Wolf Optimization (GWO) algorithm, which is based on the food collecting behavior of grey wolves to determining the feasible optimal solution of the multi objective environmental economic dispatch (MOEED) problem. Nonlinear characteristics of alternators and exponential emissions and loss minimization are considered in the problem. While searching for a better solution, GWO does not require any statistics about the gradient of the objective function. The GWO algorithm effectiveness has been tested on four different systems as 6-unit (IEEE 30-bus), 10-unit, 11-unit and 14-unit (IEEE 118-bus) test systems to solve the MOEED problems. The result of the test systems shows, for practical power systems GWO as a better option to solve the MOEED problems. Both the optimality of the solution to test systems and the convergence speed of the GWO algorithm are promising.

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Author Biographies

Y Venkata Krishna Reddy, sri venkateswara university
DEPARTMENT OF EEERESEARCH SCHOLAR
M Damodar Reddy, sri venkateswara university
DEPARTMENT OF EEEPROFESSOR

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Published
2019-03-20
How to Cite
[1]
Y. V. Reddy and M. D. Reddy, “Solution of Multi Objective Environmental Economic Dispatch by Grey Wolf Optimization Algorithm”, IJISAE, vol. 7, no. 1, pp. 34-41, Mar. 2019.
Section
Research Article