Interior/exterior point and smoothing functions hybrid methods in environmental/economic dispatch multiobjective problems

Abstract

This project aims researching, proposing and implementing a deterministic method involving the predictor-corrector primal-dual interior point method, that it explores the strategy about exterior points related to modified logarithmic barrier function, smoothing functions methods and multiobjective problems solving methods, aiming its application on environmental and economic dispatch multiobjective problems, which they consider the valve-point effect, of interest for electric energy systems.It is intended developing a hybrid procedure involving the interior/exterior point methods associated with smoothing functions methods, such as Hermitian spline, sigmoid function and hyperbolic smoothing, and solution methods of multiobjective problems, of weighted sum, of µ-restricted and of goal programming. The proposed hybrid method will be implemented in the MatLab programming language and it will be used to determine efficient solutions in the Pareto optimum sense, for the economic and environmental multiobjective problems. The method seeks to obtain efficient solutions for minimizing the fuel cost used in thermal energy plants and/or minimizing the reducion of the nature pollutant emissions, which they are conflictant objectives, such that it must respect the generation system operational constraints, considering the inclusion of the transmission representation constraint of the system. After the implementation of the hybrid method, it will be tested in economic/environmental problems for evaluating of the achieved performance and comparison with results of other methods reported in the literature. (AU)