Biogeography based optimization technique for best compromise solution of economic emission dispatch

This paper attempts to develop an elegant biogeography based optimization algorithm for obtaining the best compromise solution of EED problem. The basic philosophy orients to create a modified objective function that provides equal significance to both fuel cost and emission cost components. Besides it requires only three solution runs unlike other strategies involving more solution runs. The performance is evaluated through three test systems and the simulation results are presented to demonstrate the validity and effectiveness of the scheme for practical applications.

► An elegant optimization strategy is developed to elicit the best compromise solution for economic emission dispatch (EED) problem. ► It uses biogeography based optimization as a tool to solve the EED problem. ► This is a new approach in the sense the bi-objective function is modified to obtain the best compromise solution in three solution run. ► The results appear as a promising endeavor in its mission to serve as a tool for practical applications.