Solving Nonsmooth Bi-Objective Environmental andEconomic Dispatch Problem using Smoothing Techniques

Abstract

The Environmental and Economic Dispatch problem (EEDP) [14,13] is a nonlinear Multi-objective Optimization Problem (MOP) which simultaneously satisfies multiple contradictory criteria, and it's a nonsmooth problem when valvepoint effects, multi-fuel effects and prohibited operating zones have been considered. It is an important optimization task in fossil fuel fired power plant operation for allocating generation among the committed units such that fuel cost and pollution (emission level) are optimized simultaneously while satisfying all operational constraints. In this paper, we use smoothing functions with the gradient consistency property to approximate the nonsmooth multi-objective Optimization problem. Our approach is based on the smoothing method. In fact, we explain the convergence analysis of smoothing method by using approximate Karush-Kuhn-Tucker condition, which is necessary for a point to be a local weak efficient solution and is also sufficient under convexity assumptions. Finally, we give an application of our approach for solving the bi-objective EEDP.