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Interactive Compromise Approach with Particle Swarm Optimization for Environmental/Economic Power Dispatch

Authors: Ming-Tang Tsai, Chih-Wei Yen


In this paper, an Interactive Compromise Approach with Particle Swarm Optimization(ICA-PSO) is presented to solve the Economic Emission Dispatch(EED) problem. The cost function and emission function are modeled as the nonsmooth functions, respectively. The bi-objective including both the minimization of cost and emission is formulated in this paper. ICA-PSO is proposed to solve EED problem for finding a better compromise solution. The solution methodology can offer a global or near-global solution for decision-making requirements. The effectiveness and efficiency of ICA-PSO are demonstrated by a sample test system. Test results can be shown that the proposed method provide a practical and flexible framework for power dispatch.

Keywords: Particle Swarm Optimization, Emission Control, economic dispatch, Interactive Compromise Approach

Digital Object Identifier (DOI):

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